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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">2235-2988</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2023.1167116</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cellular and Infection Microbiology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Probiotics for the treatment of depression and its comorbidities: A systemic review</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Gao</surname>
<given-names>Jie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Longyou</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cheng</surname>
<given-names>Yiwen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lei</surname>
<given-names>Wenhui</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Yu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Xia</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1175863"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zheng</surname>
<given-names>Nengneng</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shao</surname>
<given-names>Li</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/599355"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Xulei</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sun</surname>
<given-names>Yilai</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ling</surname>
<given-names>Zongxin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/186731"/>
<xref ref-type="author-notes" rid="fn004">
<sup>&#x2021;</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Xu</surname>
<given-names>Weijie</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University</institution>, <addr-line>Hangzhou, Zhejiang</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Laboratory Medicine, Lishui Second People&#x2019;s Hospital, Lishui</institution>, <addr-line>Zhejiang</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Jinan Microecological Biomedicine Shandong Laboratory</institution>, <addr-line>Jinan, Shandong</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Laboratory Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University</institution>, <addr-line>Jinan, Shandong</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Intensive Care Unit, The First Affiliated Hospital, School of Medicine, Zhejiang University</institution>, <addr-line>Hangzhou, Zhejiang</addr-line>, <country>China</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Obstetrics, The First Affiliated Hospital, School of Medicine, Zhejiang University</institution>, <addr-line>Hangzhou, Zhejiang</addr-line>, <country>China</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>School of Clinical Medicine, Institute of Hepatology and Metabolic Diseases, Hangzhou Normal University, The Affiliated Hospital of Hangzhou Normal University</institution>, <addr-line>Hangzhou, Zhejiang</addr-line>, <country>China</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Department of Psychiatry, Lishui Second People&#x2019;s Hospital</institution>, <addr-line>Lishui, Zhejiang</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Deguang Song, Yale University, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Xin Chen, Stanford University, United States; Yang Liu, Regeneron Pharmaceuticals, Inc., United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Zongxin Ling, <email xlink:href="mailto:lingzongxin@zju.edu.cn">lingzongxin@zju.edu.cn</email>; Weijie Xu, <email xlink:href="mailto:weij_xu@126.com">weij_xu@126.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
<fn fn-type="other" id="fn004">
<p>&#x2021;ORCID: Zongxin Ling, <uri xlink:href="https://orcid.org/0000-0001-9662-099X">orcid.org/0000-0001-9662-099X</uri>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Intestinal Microbiome, a section of the journal Frontiers in Cellular and Infection Microbiology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>17</day>
<month>04</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>13</volume>
<elocation-id>1167116</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>02</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>03</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Gao, Zhao, Cheng, Lei, Wang, Liu, Zheng, Shao, Chen, Sun, Ling and Xu</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Gao, Zhao, Cheng, Lei, Wang, Liu, Zheng, Shao, Chen, Sun, Ling and Xu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Depression is one of the most common psychiatric conditions, characterized by significant and persistent depressed mood and diminished interest, and often coexists with various comorbidities. The underlying mechanism of depression remain elusive, evidenced by the lack of an appreciate therapy. Recent abundant clinical trials and animal studies support the new notion that the gut microbiota has emerged as a novel actor in the pathophysiology of depression, which partakes in bidirectional communication between the gut and the brain through the neuroendocrine, nervous, and immune signaling pathways, collectively known as the microbiota-gut-brain (MGB) axis. Alterations in the gut microbiota can trigger the changes in neurotransmitters, neuroinflammation, and behaviors. With the transition of human microbiome research from studying associations to investigating mechanistic causality, the MGB axis has emerged as a novel therapeutic target in depression and its comorbidities. These novel insights have fueled idea that targeting on the gut microbiota may open new windows for efficient treatment of depression and its comorbidities. Probiotics, live beneficial microorganisms, can be used to modulate gut dysbiosis into a new eubiosis and modify the occurrence and development of depression and its comorbidities. In present review, we summarize recent findings regarding the MGB axis in depression and discuss the potential therapeutic effects of probiotics on depression and its comorbidities.</p>
</abstract>
<kwd-group>
<kwd>comorbidity</kwd>
<kwd>depression</kwd>
<kwd>dysbiosis</kwd>
<kwd>microbiota-gut-brain axis</kwd>
<kwd>probiotics</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="244"/>
<page-count count="25"/>
<word-count count="14354"/>
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</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Depression is a psychiatric syndrome that characterized by slowed thinking, depressed mood, and reduced volitional activity as its main symptoms, and is often accompanied by suicidal tendencies and somatization symptoms, which pose a great threat to human health. Depression causes a huge economic burden on both families and society. Mounting evidence has shown a predominant increasing trend in the prevalence of depression in the general population (<xref ref-type="bibr" rid="B223">Weinberger et&#xa0;al., 2018</xref>), ranking 3<sup>rd</sup> leading cause of global disability in healthy life years (<xref ref-type="bibr" rid="B74">Friedrich, 2017</xref>). Currently, depression become the 4<sup>th</sup> most common illness in the world, with a prevalence rate of nearly 4.4% in both developed and developing countries (<xref ref-type="bibr" rid="B226">World Health Organization, 2017</xref>). According to the data from WHO, it is estimated that depression influences nearly 350 million people worldwide (<xref ref-type="bibr" rid="B120">Ledford, 2014</xref>), resulting in more than 800,000 suicide deaths annually. By 2030, depression is projected to rank as the first disease burden worldwide. Recently, the current COVID-19 pandemic has led to a great increase in depression, with an increase of nearly 53 million cases globally, 27.6% above the pre-pandemic levels (<xref ref-type="bibr" rid="B184">Salari et&#xa0;al., 2020</xref>). In China, depression is a major public health issue which has been reported to be the second leading cause of disability-adjusted life year (DALY) (<xref ref-type="bibr" rid="B140">Lu et&#xa0;al., 2021</xref>). According to the Blue Book on Depression in China (2022), the China Mental Health Survey reported that more than 95 million people suffering from depressive disorders account for 6.8% of the total population in China (<xref ref-type="bibr" rid="B110">Kessler and Bromet, 2013</xref>; <xref ref-type="bibr" rid="B140">Lu et&#xa0;al., 2021</xref>). Depression results in annual medical and social costs of up to 49.4 billion yuan, which has gradually become a major public health concern. Depression not only increases emotional suffering in patients but is also associated with an elevated prevalence of substantial present and future complications, such as irritable bowel syndrome (IBS), inflammatory bowel disease (IBD), heart disease, high cholesterol, obesity, diabetes mellitus (DM), and Alzheimer&#x2019;s disease (AD), which will affect the quality of life (QoL) of these patients (<xref ref-type="bibr" rid="B82">Gold et&#xa0;al., 2020</xref>). Thus, there is an urgent need for scientists worldwide to address depression and its complications.</p>
<p>However, the pathogenesis of depression, which is important for its prevention and treatment, has not yet been clarified. Depression is caused by numerous environmental, genetic, and psychological factors. Currently, the major hypotheses for the development of depression include the monoamine reduction hypothesis, overactivation of the hypothalamus-pituitary-adrenal (HPA) axis, and the decrease in brain-derived neurotrophic factor (BDNF) levels (<xref ref-type="bibr" rid="B197">Sonali et&#xa0;al., 2022</xref>). All these hypotheses are closely related to the interaction of the gut-brain axis with the gut microbiota, named the microbiota-gut-brain (MGB) axis. In recent years, accumulating evidence has shown a close link between the gut and the brain, and that the gut microbiota can be involved in regulating brain development, anxiety, depression, cognitive function, and other central nervous system (CNS) activities (<xref ref-type="bibr" rid="B1">Adak and Khan, 2019</xref>; <xref ref-type="bibr" rid="B131">Ling et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B192">Simpson et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B29">Cheng Y. et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B111">Khan et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B124">Li and Chen, 2022</xref>; <xref ref-type="bibr" rid="B128">Li et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B130">Ling et&#xa0;al., 2022a</xref>; <xref ref-type="bibr" rid="B132">Ling et&#xa0;al., 2022b</xref>; <xref ref-type="bibr" rid="B133">Ling et&#xa0;al., 2022c</xref>; <xref ref-type="bibr" rid="B134">Ling ZX. et&#xa0;al., 2022</xref>). In patients with depression, neuronal apoptosis occurs in the frontal cortex, hippocampus, and amygdala, while the abnormalities of the metabolism, secretion, inter-synaptic transmission, and reuptake of monoamine transmitters such as norepinephrine, dopamine, and 5-hydroxytryptamine (5-HT) take place in the synaptic gap (<xref ref-type="bibr" rid="B71">Farooq et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B201">Suda and Matsuda, 2022</xref>; <xref ref-type="bibr" rid="B244">Zhu et&#xa0;al., 2022</xref>). Structural imaging techniques have revealed that the dorsolateral prefrontal cortex, superior parietal lobule hippocampus, and other parts of the hippocampus are reduced in volume (<xref ref-type="bibr" rid="B61">Doney et&#xa0;al., 2022</xref>). These responses are achieved through the immune, neuroendocrine, and vagal pathways of the MGB axis, which can be affected by the gut microbiota. In the immune pathway, the metabolites of the gut microbiota, such as short-chain fatty acids (SCFAs) and indole, can stimulate epithelial enterochromaffin cells (ECCs) to produce glucagon-like peptide-1 (GLP-1), which plays a vital role in reducing neuroinflammation (<xref ref-type="bibr" rid="B30">Cheng et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B173">Peirce and Alvi&#xf1;a, 2019</xref>; <xref ref-type="bibr" rid="B71">Farooq et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B197">Sonali et&#xa0;al., 2022</xref>). In addition, gut dysbiosis-induced immune activation increases pro-inflammatory cytokines and reactive oxygen/nitrogen species levels, which leads to oxidative stress and causes hyperactivation of the HPA axis (<xref ref-type="bibr" rid="B17">Bravo et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B192">Simpson et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B197">Sonali et&#xa0;al., 2022</xref>). In the neuroendocrine pathway, various products of the gut microbiota can influence brain function, including neurotransmitters such as &#x3b3;-aminobutyric acid (GABA), dopamine, serotonin, SCFAs, and tryptophan metabolites (<xref ref-type="bibr" rid="B3">Alli et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B197">Sonali et&#xa0;al., 2022</xref>). In the vagal pathway, the gut microbiota can modulate brain function through the vagus nerve. Vagal sensory neurons form various mechanosensory and chemosensory endings along the gastrointestinal tract that receive enterocephalic signals (<xref ref-type="bibr" rid="B136">Liu et&#xa0;al., 2021a</xref>; <xref ref-type="bibr" rid="B48">D&#xe9;carie-Spain et&#xa0;al., 2023</xref>). In addition, ECCs can form synapses with adjacent nerves to assist the vagus nerve in receiving intestinal signals (<xref ref-type="bibr" rid="B17">Bravo et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B204">Sun et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B196">Snigdha et&#xa0;al., 2022</xref>). It is clear from the above that the gut microbiota and its metabolites regulate brain function through multiple pathways, which provides us with the novel idea of treating CNS diseases by modulating the gut microbiota.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Alterations of the gut microbiota in depression</title>
<p>Gut microbiota is a reservoir of trillions of bacteria, archaea, viruses, parasites, and fungi that live in the gut, which has been considered a forgotten organ of the human body. The gut microbiota plays a crucial role in a wide array of host processes, such as growth, development, physiology, immune regulation (<xref ref-type="bibr" rid="B221">Wastyk et&#xa0;al., 2021</xref>), intestinal mucosal barrier (<xref ref-type="bibr" rid="B168">Paone and Cani, 2020</xref>), nutrition (<xref ref-type="bibr" rid="B215">Valdes et&#xa0;al., 2018</xref>), colonization resistance (<xref ref-type="bibr" rid="B62">Ducarmon et&#xa0;al., 2019</xref>), and alterations in the gut microbiota are related to the development of various intestinal and extraintestinal diseases. During the past decades, scientists have made great efforts to explore how large-scale disruptions and dynamic shifts in the gut microbiota can drive phenotypic changes and disease states. With the strong evidence displayed by multi-directional evidence, recent findings confirm that the gut microbiota composition can affect brain development and behavior (<xref ref-type="bibr" rid="B139">Loughman et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B20">Carlson et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B109">Kelsey et&#xa0;al., 2021</xref>). Currently, the gut microbiota is no longer forgotten and has been called the &#x201c;second brain&#x201d; of the body (<xref ref-type="bibr" rid="B181">Ridaura and Belkaid, 2015</xref>). It is now well accepted that the gut microbiota is important for various brain processes such as neurogenesis, myelination, and microglial activation, which can also effectively regulate behavior and affect psychological processes such as mood and cognition (<xref ref-type="bibr" rid="B58">Dinan and Cryan, 2016</xref>). Gut dysbiosis can disturb the bidirectional crosstalk between the gut microbiota and the CNS, leading to numerous neurological conditions, including chronic pain, stress, anxiety, depression, autism spectrum disorder (ASD), AD, and Parkinson&#x2019;s disease.</p>
<p>Recently, increasing evidence has shown a link between gut microbiota and depression <italic>via</italic> the MGB axis. In people with depression, alterations in gut microbiota patterns are evident, suggesting that the gut microbiota plays important roles in the pathogenesis and onset of depression (<xref ref-type="bibr" rid="B102">Jiang et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B242">Zheng et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B130">Ling et&#xa0;al., 2022a</xref>). The use of antibiotics can lead to gut dysbiosis, disrupt intestinal homeostasis, and increase the risk of depression (<xref ref-type="bibr" rid="B91">Hao et&#xa0;al., 2020</xref>). Changes in bacterial diversity and richness in patients with depression have been observed in several previous studies, although there was no consistent directional alteration in microbial diversity. Our previous study found that &#x3b1;-diversity increased significantly in adult patients with depression, whereas bacterial &#x3b2;-diversity did not change significantly (<xref ref-type="bibr" rid="B102">Jiang et&#xa0;al., 2015</xref>). However, the opposite patterns were found in childhood depression (<xref ref-type="bibr" rid="B130">Ling et&#xa0;al., 2022a</xref>). Previous studies have reported that several key functional bacteria at different taxonomic levels are associated with depression. Our previous study found that the decreased butyrate-producing bacteria (e.g., <italic>Faecalibacterium</italic>) were associated with the enrichment of intestinal pathogenic bacteria or opportunistic pathogens such as Enterobacteriaceae (<xref ref-type="bibr" rid="B102">Jiang et&#xa0;al., 2015</xref>). Interestingly, the key functional genus, <italic>Faecalibacterium</italic>, was correlated with the severity of depression symptoms and the difficulty in abstract thinking negatively (<xref ref-type="bibr" rid="B216">Valles-Colomer et&#xa0;al., 2019</xref>). Barandouzi et&#xa0;al. observed that depressed patients had a lower abundance of <italic>Bacillus</italic> spp., <italic>Proteus</italic> spp., <italic>E. faecalis</italic>, and <italic>Sartorius</italic> spp. and a higher abundance of <italic>Actinomyces</italic> and <italic>Eggerthella</italic> spp (<xref ref-type="bibr" rid="B9">Barandouzi et&#xa0;al., 2020</xref>).. These key functional bacteria were found to be correlated with the development of depression significantly, but their causal effects on depression remain unclear. Recently, animal models have emerged as valuable experimental tools for host-microbiome interaction research. Zheng et&#xa0;al. demonstrated that transferring the gut microbiota from depressed humans to germ-free (GF) mice could increase depression-like behavior in the recipient mice, supporting a causal relationship between gut microbiota and depression (<xref ref-type="bibr" rid="B242">Zheng et&#xa0;al., 2016</xref>). After successful antidepressant treatment, the depression-associated key functional differential bacteria decreased significantly compared to healthy controls, indicating that the depressed gut microbiota tended to reconstitute (<xref ref-type="bibr" rid="B127">Li N. et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B71">Farooq et&#xa0;al., 2022</xref>). Based on these clinical and preclinical findings, we tentatively inferred that maintaining or restoring the normal condition of the gut microbiota is associated with regression depression. These interactions are often shown to be produced by the immune, neuroendocrine, and vagal pathways with the gut microbiota and its metabolites <italic>via</italic> the MGB axis. Bacterial groups associated with gastrointestinal inflammation (e.g., Enterobacteriaceae, <italic>Eggerthella</italic>, and <italic>Desulfovibrio</italic>) were relatively abundant in patients with depression, and these patients had fewer anti-inflammatory SCFA-producing bacterial species, including butyrate-producing <italic>E. faecalis</italic> and <italic>Clostridium</italic> XIVa (<xref ref-type="bibr" rid="B192">Simpson et&#xa0;al., 2021</xref>). With the advent of multi-omics techniques, such as metagenomics, metabolomics, proteomics, and culturomics, depression-associated key functional bacteria can be identified into species or strain levels, which allows us to clarify the specific functions of the depressed bacteria and screen these species as biomarkers for the intervention and treatment of depression and related complications.</p>
<p>Traditionally, depression treatments target the brain with psychotherapy and/or different drugs, such as 5-HT reuptake inhibitors (SSRI), 5-HT, and norepinephrine reuptake inhibitors (SNRI). However, the prevalence and burden of depression remained unchanged (<xref ref-type="bibr" rid="B144">Malhi and Mann, 2018</xref>). Recent advances have observed that these conventional treatments not only regulate the brain directly (<xref ref-type="bibr" rid="B36">Cipriani et&#xa0;al., 2018</xref>), but also affect the gut microbiota (<xref ref-type="bibr" rid="B47">Davey et&#xa0;al., 2013</xref>). Correcting abnormal gut microbiota could alleviate depression, suggesting that targeting on the gut microbiota could be considered as a promising and tractable therapy for depression. The modulation of the gut microbiota has been highlighted in the treatment of mental disorders, including depression and its comorbidities. To explore more potential possibilities for the treatment of depression, this review explored the use of probiotics in depression and for diseases in which depression is a co-morbidity. Here, we describe the pathogenesis associated with the MGB axis in depression and discuss the potential therapeutic effects of probiotics on depression and its comorbidities, with the expectation that probiotics will become a new and effective treatment for depression and its comorbidities in the future.</p>
</sec>
<sec id="s3">
<label>3</label>
<title>Underlying mechanisms of the gut microbiota in depression</title>
<p>There is growing evidence to support the role of the gut microbiota in regulating host behavior and brain function. Although the exact mechanisms by which the gut microbiota causes or alters depression are not fully understood, the vast evidence from previous clinical and preclinical studies supports the hypothesis that the gut microbiota can affect the development of depression, mainly through the HPA axis, inflammation, and modify the abundance of BDNF. Clarifying the underlying mechanisms between gut microbiota and depression can contribute to the effective prevention and treatment of depression (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The main pathogenesis hypotheses for depression via the gut-brain axis. As shown, the hypothalamus-pituitary-adrenal (HPA) axis of the brain is activated by various stressors such as psychological stress and the increased pro-inflammatory cytokines <bold>(A)</bold>. Due to the disruption of the g-aminobutyric acid (GABA) negative feedback in depression, however, the HPA axis abnormally activated, leading to persistent elevation of cortisol. High level of cortisol contributes to peripheral inflammation and can disrupt the normal gut microbiota. Gut dysbiosis, inflammation and other factors in combination lead to impaired intestinal barrier function, called leaky gut, which manifests as increased intestinal permeability, decreased intestinal villi length and colonic crypts depth. Intestinal immune cells such as T cells, macrophages, and so on, and gram-negative bacteria-produced lipopolysaccharide (LPS) in the gut can translocate from gut into brain, which can act on the microglia and lead to neuroinflammation. In turn, the over-activated microglia can release amount of indoleamine 2,3-dioxygenase (IDO), interferon &#x3b3; (IFN-&#x3b3;) and so on, resulting in a decrease in tryptophan metabolism to 5-hydroxytryptamine (5-HT) and an increase in the neurotoxic kynurenine, quinolinic acid <bold>(B)</bold>. Meanwhile, neuroinflammation can reduce the level of brain-derived neurotrophic factor (BDNF) that is produced in the atrophied hippocampus and prefrontal cortex. Abnormally reduced plasminogen activator inhibitor-1 (PAI-1) is also considered as a possible causative agent <bold>(C)</bold>. All these factors interact with each other and contribute to the onset and worsening of depression.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-13-1167116-g001.tif"/>
</fig>
<sec id="s3_1">
<label>3.1</label>
<title>HPA axis</title>
<p>The HPA axis is a feedback pathway consisting of the hypothalamus, pituitary, and adrenal glands and is involved in the control of the stress response. The HPA axis is an important component of the MGB interaction (<xref ref-type="bibr" rid="B43">Cryan and O'mahony, 2011</xref>; <xref ref-type="bibr" rid="B73">Frankiensztajn et&#xa0;al., 2020</xref>). Under normal conditions, environmental, emotional, and physiological stressors increase the systemic levels of pro-inflammatory cytokines, which in turn secrete corticotropin-releasing hormone (CRH) by triggering secretion from the paraventricular nucleus of the hypothalamus. Increased CRH levels activate adrenocorticotropic hormone (ACTH) secretion from the anterior pituitary. ACTH subsequently results in the release of glucocorticoids from the adrenal cortex. When glucocorticoid levels reach their peak, negative feedback regulation is triggered <italic>via</italic> the GABA pathway, resulting in a decrease in cortisol secretion. This constitutes a complete HPA axis pathway, which ensures the stability of cortisol levels <italic>in vivo</italic> (<xref ref-type="bibr" rid="B201">Suda and Matsuda, 2022</xref>). However, this mechanism is disrupted in patients with depression. As we know before, the HPA axis is negatively regulated through the GABA pathway, which proceeds by increasing glutamate reuptake by presynaptic neurons when cortisol levels peak, and within the neuron, glutamate is converted to GABA as a precursor, followed by GABA exiting the neuron into the synaptic vesicles, crossing the synaptic gap and binding to GABA receptors on the postsynaptic membrane, thus establishing an aminobutyric acidergic synapse (<xref ref-type="bibr" rid="B92">Herman et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B45">Cullinan et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B188">Sarkar et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B39">Colmers and Bains, 2018</xref>; <xref ref-type="bibr" rid="B63">Duman et&#xa0;al., 2019</xref>). GABA acts as an inhibitory neurotransmitter that inhibits CRF neurons, ultimately reducing the secretion of cortisol (<xref ref-type="bibr" rid="B79">Giordano et&#xa0;al., 2006</xref>). That is, the GABA content is elevated during normal action. However, the dexamethasone suppression tests observed lesser levels of GABA levels in depressed patients which are unable to regulate excessive cortisol levels (<xref ref-type="bibr" rid="B21">Carroll et&#xa0;al., 1981</xref>), while excessive cortisol levels can lead to gut dysbiosis eventually (<xref ref-type="bibr" rid="B119">&#x141;aniewski and Herbst-Kralovetz, 2022</xref>; <xref ref-type="bibr" rid="B41">Couch et&#xa0;al., 2023</xref>). Gut dysbiosis promotes the growth of gram-negative bacteria, releases increased immunogenic lipopolysaccharide (LPS), disrupts intestinal permeability, leads to leaky gut and endotoxemia, and causes translocation of bacterial components in the gut lumen due to the inflammatory response. These inflammatory mediators in turn stimulate the HPA axis, exacerbating its hyperactivation and promoting neuroinflammation, leading to depressive behavior (<xref ref-type="bibr" rid="B242">Zheng et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B138">Liu et&#xa0;al., 2021b</xref>; <xref ref-type="bibr" rid="B197">Sonali et&#xa0;al., 2022</xref>).</p>
<p>As mentioned above, high cortisol levels lead to a compromised intestinal mucosal barrier, which allows T cells, giant cells, and antigens to flow into the brain, activate microglia, and trigger inflammation (<xref ref-type="bibr" rid="B61">Doney et&#xa0;al., 2022</xref>). It can also lead to inflammation through the binding of effluent LPS to toll-like receptor (TLR) on microglia (<xref ref-type="bibr" rid="B175">Qin et&#xa0;al., 2007</xref>). Indeed, excessive microglial activation is the cornerstone of neuroinflammation. Multiple factors can lead to its overactivation to produce neuroinflammation and eventually lead to depression.</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Inflammation</title>
<p>Inflammation is a key causative factor in the development of depression. However, the exact mechanisms underlying inflammation-related depression are still elusive. Typically, over-activation of the HPA axis by stress can cause abnormally high cortisol levels and disruption of the intestinal barrier, allowing the outflow of gut microbiota-derived endotoxins into circulation. This causes increased pro-inflammatory cytokines and decreased anti-inflammatory cytokines, leading to peripheral inflammation, which is associated with depressive symptoms. Some studies have reported increased interleukin-1&#x3b2; (IL-1&#x3b2;) and interleukin-6 (IL-6) and decreased IL-4 and IL-10 in patients with depression (<xref ref-type="bibr" rid="B14">Berk et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B225">Wong et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B130">Ling et&#xa0;al., 2022a</xref>). Then, pro-inflammatory factors cross the blood-brain barrier (BBB) into the brain through blood circulation, activating microglia, releasing reactive nitrogen and oxygen, and damaging brain epithelial cells leading to neuroinflammation, which can lead to mental illness (<xref ref-type="bibr" rid="B173">Peirce and Alvi&#xf1;a, 2019</xref>; <xref ref-type="bibr" rid="B61">Doney et&#xa0;al., 2022</xref>). At the same time, indoleamine 2,3-dioxygenase (IDO) is a key enzyme in inflammation-induced depression. The pro-inflammatory factors also activate IDO enzyme activity, which causes tryptophan to be broken down into kynurenine rather than 5-HT, reducing 5-HT concentrations (<xref ref-type="bibr" rid="B173">Peirce and Alvi&#xf1;a, 2019</xref>; <xref ref-type="bibr" rid="B219">Walker et&#xa0;al., 2019</xref>). Furthermore, pro-inflammatory factors disrupt tetrahydrobiopterin, an essential factor for monoamine synthesis, leading to impaired synthesis of 5-HT, dopamine, and other neurotransmitters (<xref ref-type="bibr" rid="B46">Dantzer et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B157">Miller and Raison, 2016</xref>).</p>
<p>As mentioned earlier, fecal microbiota transplantation (FMT) from depressed patients to GF mice causes morbidity in the mice. Compared with normal mice, GF mice are immunocompromised and lack regulatory T cells (Tregs) (<xref ref-type="bibr" rid="B242">Zheng et&#xa0;al., 2016</xref>). Thus, these findings suggest a mediating role of the gut microbiota in immune response and depression. Mason et&#xa0;al. found that anti-inflammatory bacterial groups such as <italic>Bacteroides</italic> and the <italic>Clostridium leptum</italic> subgroup are reduced in those diagnosed with depression (<xref ref-type="bibr" rid="B148">Mason et&#xa0;al., 2020</xref>), suggesting that gut dysbiosis, especially the decrease of these anti-inflammatory regulatory bacteria, plays an important role in the pathophysiology of depression. Given the key role of inflammation in depression, strong evidence has supported the novel concept of the gut microbiota-inflammation-brain axis, in which the gut microbiota can alter brain function through inflammatory signaling pathways and affect depression-like behavior. Thus, targeting the gut microbiota to modulate the inflammatory response in individuals with depression may represent a useful therapeutic approach for depression.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Decreased level of BDNF</title>
<p>BDNF is a neurotrophin that can regulate the growth and plasticity of neurons and synapses (<xref ref-type="bibr" rid="B12">Bercik et&#xa0;al., 2011a</xref>). It is distributed in the hippocampus widely and has been considered as a key transducer of antidepressant effects. Generally, BDNF is first synthesized a precursor protein, pro-brain-derived neurotrophic factor (pro-BDNF), which is further processed into the mature form by fibrinolytic enzymes. BDNF can increase synaptic plasticity, promote neurogenesis, especially in the hippocampus, and maintain and promote the developmental differentiation and regeneration of various neurons, especially pentraxin and dopaminergic neurons, whereas pro-BDNF induces neuronal death and synaptic pruning (<xref ref-type="bibr" rid="B7">Bai et&#xa0;al., 2016</xref>). Fibrinolytic enzymes are converted from fibrinogen in the presence of tissue plasminogen activator, which can be inhibited by plasminogen activator inhibitor-1 (PAI-1), leading to the accumulation of pro-BDNF. Previous studies found that PAI-1 increases in the prefrontal cortex and hippocampus of chronically stressed rats (<xref ref-type="bibr" rid="B171">Party et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B238">Zhang W. et&#xa0;al., 2022</xref>). The decreased BDNF can be found in patients with depression (<xref ref-type="bibr" rid="B102">Jiang et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B232">Youssef et&#xa0;al., 2018</xref>), whereas antidepressant treatment can increase the levels of BDNF (<xref ref-type="bibr" rid="B147">Martinotti et&#xa0;al., 2016</xref>). Kuhlmann et&#xa0;al. observed that the levels of BDNF were negatively correlated with the severity of depression (<xref ref-type="bibr" rid="B117">Kuhlmann et&#xa0;al., 2017</xref>). Serum BDNF levels correlate with hippocampal volume, and insufficient BDNF levels can impair neurogenesis and lead to the onset of depression (<xref ref-type="bibr" rid="B70">Erickson et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B218">Von Bohlen Und Halbach and Von Bohlen Und Halbach, 2018</xref>). These findings suggest the possibility of using serum BDNF level as an indicator of disease activity and treatment response. Evidence from animal studies using GF, antibiotic-treated, depression models, and FMT mice has also demonstrated lower levels of BDNF in the hippocampus and cortex than in healthy controls (<xref ref-type="bibr" rid="B37">Clarke et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B97">Jang et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B201">Suda and Matsuda, 2022</xref>). Gut eubiosis can increase the activation of cAMP response element binding (CREB) in the hippocampus, prefrontal cortex, and amygdala, leading to an increase in BDNF production (<xref ref-type="bibr" rid="B78">Gerhard et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B154">Methiwala et&#xa0;al., 2021</xref>). In addition, the gut microbiota can modulate the conversion of pro-BDNF into BDNF. Administration of microbiota products to mice increases BDNF levels in the hippocampus (<xref ref-type="bibr" rid="B19">Carabotti et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B145">Maqsood and Stone, 2016</xref>). Previous interventional studies have revealed that probiotics can restore the levels of pro-BDNF and BDNF in various brain regions which are related to the development of depression-like behavioral phenotypes (<xref ref-type="bibr" rid="B203">Sun et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B160">Mohammed et&#xa0;al., 2020</xref>). These findings suggest that re-establishment of the gut microbiota may contribute to the increased levels of brain BDNF and modulate host behavior.</p>
<p>The aforementioned mechanisms provide an introduction to the pathogenesis of depression briefly. In fact, the causes of depression are inconclusive and there are numerous hypotheses about its pathogenesis, of which the above-mentioned are few and incomplete. The premise we are dealing with is related to the gut microbiota and can be treated with probiotics and other related mechanisms. Based on the above mechanisms, we will explore the existing targets that can act through probiotic therapy and explore the possible applications of probiotics in the future, which often act through the MGB axis interaction, reflecting the great role and potential of the gut microbiota in regulating neurological diseases.</p>
</sec>
</sec>
<sec id="s4">
<label>4</label>
<title>Therapeutic potential of probiotics on depression</title>
<p>Various antidepressant agents are available to treat depression, including monoamine oxidase inhibitors, tricyclic antidepressants, selective SSRI, nonselective SNRI, selective norepinephrine reuptake inhibitors, and other miscellaneous agents such as mirtazapine (<xref ref-type="bibr" rid="B108">Keller et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B42">Cryan and Dinan, 2015</xref>). However, nearly 30% of patients with depression are resistant to any treatment. Thus, novel antidepressant agents and strategies are required (<xref ref-type="bibr" rid="B158">Miyanishi and Nitta, 2021</xref>). Recent microbiota studies have demonstrated a strong link between depression and the gut microbiota. Miyaoka et&#xa0;al. has observed that the combination of antidepressants and probiotics is more effective to treat drug-resistant depression (<xref ref-type="bibr" rid="B159">Miyaoka et&#xa0;al., 2018</xref>). Preclinical studies and clinical trials suggest that modifying the composition of the gut microbiota <italic>via</italic> probiotic supplementation have been proven to be beneficial in treating or preventing human diseases (<xref ref-type="bibr" rid="B241">Zhao et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B186">Sanders et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B66">Edwards et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B202">Sun et&#xa0;al., 2021</xref>), which may be a viable adjuvant treatment option for patients with depression.</p>
<p>Probiotics are live microorganisms that, when administered in adequate amounts, confer a health benefit to the host by changing the composition of the host&#x2019;s microbiota in a certain area (<xref ref-type="bibr" rid="B93">Hill et&#xa0;al., 2014</xref>). They play a vital role in maintaining a healthy gut by regulating the host mucosa and systemic immune function or by regulating the balance of microbiota in the gut (<xref ref-type="bibr" rid="B185">S&#xe1;nchez et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B38">Clemente et&#xa0;al., 2018</xref>). Probiotics can tolerate stomach acid and bile salts, adhere to host intestinal epithelial cells, and remove or reduce the adhesion of pathogenic bacteria (<xref ref-type="bibr" rid="B190">Selle and Klaenhammer, 2013</xref>; <xref ref-type="bibr" rid="B62">Ducarmon et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B149">Mazloom et&#xa0;al., 2019</xref>). Owing to their non-toxic side effects and high stability, probiotics are increasingly used in the prevention and treatment of intestinal disorders such as IBS, IBD, antibiotic-associated diarrhea, and other disorders (<xref ref-type="bibr" rid="B169">Park et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B80">Glassner et&#xa0;al., 2020</xref>). Gut microbiota modulation with probiotics has become a hot topic in the treatment of mental disorders, including depression, although it is still in its infancy stage. Probiotics acting <italic>via</italic> the MGB axis can influence brain development, function, and behavior (<xref ref-type="bibr" rid="B55">Desbonnet et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B18">Buffington et&#xa0;al., 2016</xref>). This has prompted growing interest in the possibility of targeting the gut microbiota to beneficially impact depression. The concept of &#x201c;psychobiotics&#x201d;, proposed by Dinan et&#xa0;al., emphasizes the potential of probiotics in mental disorders treatment (<xref ref-type="bibr" rid="B59">Dinan et&#xa0;al., 2013</xref>). Psychobiotics can convey benefits to the host&#x2019;s mental health <italic>via</italic> dynamic MGB crosstalk. An emerging body of evidence suggests possible antidepressant effects resulting from probiotic supplementation, which can normalize depression-associated physiological outputs, such as corticosterone, noradrenaline, BDNF, and immune function. The promising role of probiotics in depression <italic>via in vivo</italic> and <italic>in vitro</italic> studies have laid a strong foundation for clinical application. Several recent randomized controlled trials (RCTs) have demonstrated that probiotics can alleviate depressive symptoms in participants both with and without a clinical diagnosis of depression effectively (<xref ref-type="bibr" rid="B81">Goh et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B4">Amirani et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B24">Chao et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B50">Dehghani et&#xa0;al., 2022</xref>). Probiotics exhibit antidepressant properties in the absence of other therapeutic options (<xref ref-type="bibr" rid="B163">Nikolova et&#xa0;al., 2021</xref>). Thus, microbiota-based interventions with probiotics may possess greater therapeutic potential for depression treatment, which can be used as an adjunct to current approaches (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Common probiotic strains, such as <italic>Lactobacillus</italic> spp., <italic>Bifidobacterium</italic> spp., <italic>Akkermansia</italic> spp., <italic>Clostridium</italic> spp., and <italic>Enterococcus</italic> spp., have been used to treat depression in clinical and animal studies, either as a single agent or in combination with other potential psychobiotics (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). However, it is important to note that these benefits are strain-specific. We selected some strains that have already played an effective role in the treatment of depression to illustrate the specific mechanism of its action, clarify its dosage, periodicity, and other key information in the current treatment regimen, and pave the way for the further role of probiotics, which are expected to become new options for the treatment of depression (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Clinical evaluation of probiotics on depression and its comorbidities.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Strains</th>
<th valign="top" align="left">Study design</th>
<th valign="top" align="left">Population characteristics</th>
<th valign="top" align="left">Intervention</th>
<th valign="top" align="left">Control/placebo group</th>
<th valign="top" align="left">Duration</th>
<th valign="top" align="left">Clinical findings</th>
<th valign="top" align="left">References</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">LGG HN001</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">380 women (14-16 weeks gestation)<break/>Probiotics (n=193),<break/>Placebo (n=187)</td>
<td valign="top" align="left">HN001 (6&#xd7;10<sup>9</sup> CFU daily)</td>
<td valign="top" align="left">Corn-derived maltodextrin</td>
<td valign="top" align="left">6m</td>
<td valign="top" align="left">Lower depression scores:<break/>HN001 mean = 7.7 (SD=5.4),<break/>placebo 9.0 (SD=6.0), p=0.037</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B194">Slykerman et&#xa0;al., 2017</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>L. plantarum</italic> PS128</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">40 participants with self-reported insomnia<break/>PS128 group (n=21),<break/>Placebo (n=19)</td>
<td valign="top" align="left">PS128 (6&#xd7;10<sup>10</sup> CFU) daily</td>
<td valign="top" align="left">microcrystalline cellulose (6&#xd7;10<sup>10</sup> CFU) daily</td>
<td valign="top" align="left">30d</td>
<td valign="top" align="left">&#x2193;BDI-II scores</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B94">Ho et&#xa0;al., 2021</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>L. plantarum</italic> PS128</td>
<td valign="top" align="left">A Preliminary<break/>open trial</td>
<td valign="top" align="left">11 patients with MDD</td>
<td valign="top" align="left">Capsule contained 3&#xd7;10<sup>10</sup> CFU of PS128 twice a day</td>
<td valign="top" align="left">/</td>
<td valign="top" align="left">8w</td>
<td valign="top" align="left">&#x2193;HAMD-17 scores;<break/>&#x2193;DSSS scores</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B27">Chen HM. et&#xa0;al., 2021</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>L. plantarum</italic> 299v</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">60 patients with MDD<break/>LP299v group (n = 30),<break/>Placebo (n = 30)</td>
<td valign="top" align="left">capsule contained 10&#xd7;10<sup>9</sup> CFU of LP299v twice a day</td>
<td valign="top" align="left">crystalline cellulose powder</td>
<td valign="top" align="left">8w</td>
<td valign="top" align="left">Improvement in APT and in CVLT total recall of trials 1&#x2013;5;<break/>&#x2193;KYN;<break/>&#x2191;3HKYN : KYN</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B182">Rudzki et&#xa0;al., 2019</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>L. helveticus</italic> and <italic>B. longum</italic>
</td>
<td valign="top" align="left">three-arm parallel design, RCT</td>
<td valign="top" align="left">81 patients with MDD<break/>Probiotics (n=28),<break/>Prebiotics (n=27),<break/>Placebo (n=26)</td>
<td valign="top" align="left">10&#xd7;10<sup>9</sup> CFU per 5&#xa0;g sachet/day</td>
<td valign="top" align="left">excipients</td>
<td valign="top" align="left">8w</td>
<td valign="top" align="left">&#x2193;BDI score;<break/>&#x2193;kynurenine/tryptophan;<break/>&#x2191;tryptophan/isoleucine</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B107">Kazemi et&#xa0;al., 2019</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>L. paracasei Shirota</italic>
</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">69 patients with depression<break/>LcS group (n=38),<break/>Placebo (n=31)</td>
<td valign="top" align="left">100 mL beverage of LcS (10<sup>10</sup>CFU)</td>
<td valign="top" align="left">the same fermented dairy beverage without any bacteria</td>
<td valign="top" align="left">9w</td>
<td valign="top" align="left">&#x2191;<italic>Adlercreutzia</italic>, <italic>Megasphaera</italic> and <italic>Veillonella</italic>;<break/>&#x2193;Rikenellaceae_RC9_gut_group, <italic>Sutterella</italic> and <italic>Oscillibacter</italic>;<break/>&#x2193;IL-6;<break/>Relieve constipation</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B237">Zhang et&#xa0;al., 2021</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>L. paracasei Shirota</italic>
</td>
<td valign="top" align="left">A single-arm trial</td>
<td valign="top" align="left">15 patients with MDD and 3 patients with BD</td>
<td valign="top" align="left">2 bottles of fermented milk containing at least 4.0&#xd7;10<sup>10</sup> CFU of LcS per bottle (80 mL) per day</td>
<td valign="top" align="left">/</td>
<td valign="top" align="left">12w</td>
<td valign="top" align="left">&#x2193;HAMD21</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B166">Otaka et&#xa0;al., 2021</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>B.longum</italic> NCC3001</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">44 adults with IBS and diarrhea or a mixed-stool pattern and mild to moderate anxiety and/or depression<break/>BL group (n= 22),<break/>Placebo (n = 22)</td>
<td valign="top" align="left">BL (10<sup>10</sup> CFU/1g)</td>
<td valign="top" align="left">maltodextrin</td>
<td valign="top" align="left">6w</td>
<td valign="top" align="left">&#x2193;HAD-D scores;<break/>&#x2191;Quality of life score;<break/>&#x2193;Responses to negative emotional stimuli;<break/>&#x2193;Urine levels of methylamines and aromatic amino acids metabolites</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B174">Pinto-Sanchez et&#xa0;al., 2017</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>B.breve</italic> CCFM1025</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">45 patients with MDD patients (n = 45)<break/>CCFM1025 group (n = 20),<break/>Placebo (n = 25)</td>
<td valign="top" align="left">CCFM1025 (10<sup>10</sup> CFU) daily</td>
<td valign="top" align="left">maltodextrin</td>
<td valign="top" align="left">4w</td>
<td valign="top" align="left">&#x2193;HDRS-24 scores;<break/>&#x2193;MADRS scores;<break/>&#x2193;BPRS scores;<break/>&#x2193;GSRS scores;<break/>&#x2193;Serum serotonin turnover</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B210">Tian et&#xa0;al., 2022</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>B.bifidum</italic> BGN4 <italic>and B.longum</italic> BORI</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">63 healthy elders (&#x2265;65 years)<break/>Probiotics (n=32),<break/>Placebo (n=31)</td>
<td valign="top" align="left">Two capsules twice per day (1&#xd7;10<sup>9</sup> CFU of BGN4 and BORI)</td>
<td valign="top" align="left">soybean oil</td>
<td valign="top" align="left">12w</td>
<td valign="top" align="left">&#x2193;<italic>Eubacterium</italic>, <italic>Allisonella</italic>, Clostridiales, and Prevotellaceae;<break/>&#x2191;BDNF;<break/>&#x2193;Mental flexibility score;<break/>&#x2193;Stress score</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B112">Kim CS. et&#xa0;al., 2021</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Mixture (<italic>B.bifidum</italic> W23<italic>,B.lactis</italic> W51<italic>, B. lactis</italic> W52<italic>, L. acidophilus</italic> W37,<break/>
<italic>L. brevis</italic> W63<italic>, L. casei</italic> W56<italic>, L. salivarius</italic>
<break/>W24<italic>, L.lactis</italic> W19 <italic>and L.lactis</italic> W58)</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">71 participants with depressive symptoms<break/>Probiotics (n = 34),<break/>Placebo (n = 37)</td>
<td valign="top" align="left">Two 2g sachets of mixture for each day (total cell count<break/>1 &#xd7; 10<sup>10</sup> CFU/day</td>
<td valign="top" align="left">two 2g sachets daily of the freezedried maize-starch and maltodextrins</td>
<td valign="top" align="left">8w</td>
<td valign="top" align="left">Reduction in cognitive reactivity</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B22">Chahwan et&#xa0;al., 2019</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Streptococcus thermophilus</italic> NCIMB 30438<italic>, B.breve</italic> NCIMB 30441<italic>, B.longum</italic> NCIMB 30435,<break/>
<italic>B.infantis</italic> NCIMB 30436<italic>, L.acidophilus</italic> NCIMB 30442<italic>, L.plantarum</italic> NCIMB 30437,<break/>
<italic>L.paracasei</italic> NCIMB 30439<italic>, L.delbrueckii subsp.</italic>
<break/>
<italic>Bulgaricus</italic> NCIMB 30440</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">47 patients with current depressive episodes<break/>Probiotics (n=21),<break/>Placebo (n= 26)</td>
<td valign="top" align="left">Probiotic mixture (900 billion CFU/day)</td>
<td valign="top" align="left">maltose</td>
<td valign="top" align="left">4w</td>
<td valign="top" align="left">&#x2193;HAM-D scores;<break/>&#x2191;<italic>Lactobacillus;</italic>
<break/>&#x2191;Gray matter volume in calcarine sulcus;<break/>Alter putamen&#x2019;s activation during emotion processing</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B189">Schaub et&#xa0;al., 2022</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">probiotic NVP-1704, a mixture of <italic>L. reuteri</italic> NK33 and <italic>B. adolescentis</italic> NK98</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">156 healthy adults with subclinical symptoms<break/>NVP-1704 group (n = 78),<break/>Placebo (n = 78)</td>
<td valign="top" align="left">NVP-1704 (2.0 &#xd7; 10<sup>9</sup> CFU for NK33 and 0.5 &#xd7; 10<sup>9</sup>CFU<break/>for NK98) daily</td>
<td valign="top" align="left">maltodextrin</td>
<td valign="top" align="left">8w</td>
<td valign="top" align="left">Reduction in depressive symptoms<break/>Improvement in sleep quality;<break/>&#x2193;IL-6;<break/>&#x2191;Bifidobacteriaceae;<break/>&#x2191;Lactobacillacea;<break/>&#x2193;Enterobacteriaceae</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B122">Lee et&#xa0;al., 2021</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Mixture (containing <italic>L. fermentum</italic> LF16, <italic>L. rhamnosus</italic> LR06, <italic>L. plantarum</italic> LP01, and <italic>B. longum</italic> BL04)</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">38 healthy volunteers<break/>Probiotics group (n=19),<break/>Placebo group (n=19)</td>
<td valign="top" align="left">probiotic mixture (4 &#xd7; 10<sup>9</sup>
<break/>CFU/AFU) daily</td>
<td valign="top" align="left">maltodextrin</td>
<td valign="top" align="left">6w</td>
<td valign="top" align="left">Improvement in mood;<break/>Reduction in depressive mood state, anger, and fatigue;<break/>Improvement in sleep quality</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B146">Marotta et&#xa0;al., 2019</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>3HKYN, 3-hydroxykynurenine; AFU, active fluorescent unit; AhR, aryl hydrogen receptor; APT, Attention and Perceptivity Test; B. adolescentis, Bifidobacterium adolescentis; B. bifidum, Bifidobacterium bifidum; B. breve, Bifidobacterium breve; B. infantis, Bifidobacterium infantis; B. lactis, Bifidobacterium lactis; B. longum, Bifidobacterium longum; BAI, Beck Anxiety Inventory; BD, Bipolar Disorder; BDI, Beck Depression Inventory; BDI-II, Beck Depression Inventory-II; BDNF, Brain-derived neurotrophic factor; CERAD-K, The Korean version of the Consortium to Establish a Registry for Alzheimer&#x2019;s Disease; CFU, colony forming units; CRS, chronic restraint stress; CVLT, California Verbal Learning Test Total; DSSS, Depression and Somatic symptoms Scale; EPM, the elevated plus-maze; FST, the forced swimming test; GPX2, glutathione reductase 2; GSRS, Gastrointestinal Symptom Rating Scale; HAD-D, HAD-depression; HAMD-17, Hamilton Depression Rating Scale-17 items; HAMD-21, Hamilton Depression Rating Scale-21 items; HDRS-24, Hamilton Depression Rating scale-24 Items; IBS, Irritable Bowel Syndrome; IL-1&#x3b2;, interleukin-1&#x3b2;; IL-6, interleukin 6; IL-8, interleukin 8; ILA, indole-3-lactic acid; KYN, kynurenine; L. acidophilus, Lactobacillus acidophilus; L. brevis, Lactobacillus brevis; L. casei, Lactobacillus casei; L. delbrueckii, Lactobacillus delbrueckii; L. fermentum, Lactobacillus fermentum; L. helveticus, Lactobacillus helveticus; L. paracasei, Lactobacillus paracasei; L. plantarum, Lactobacillus plantarum; L. salivarius, Lactobacillus sailvarius; LGG HN001, Lactobacillus rhamnosus GG HN001; MADRS, Montgomery-Asberg Depression Rating Scale; MDD, major depression; NF-&#x3ba;B, nuclear factor kappa B; NQO1, NAD(P) H dehydrogenase; Nrf2, nuclear factor erythroid 2-related factor 2; RCT, randomized controlled trial; SOD2, superoxide dismutase 2; STAI1, State-Trait Anxiety Inventory 1; TNF-&#x3b1;, tumor necrosis factor alpha.</p>
</fn>
<fn>
<p>&#x2193;: downregulation; &#x2191;: upregulation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Therapeutic effects of probiotics on depression and its comorbidities. Probiotics exert antidepressant effects at multiple targets. Supplementation of probiotics can increase beneficial microorganisms and reduce harmful ones to achieve new gut eubiosis. Meanwhile, they can produce beneficial substances such as 5-hydroxytryptamine (5-HT), short-chain fatty acids (SCFAs) and brain-derived neurotrophic factor (BDNF) and so on by themselves or indirectly through upregulation of beneficial microbiota, which can act on various receptors on the intestinal epithelium such as EGFR, CREB, Nr3C1, etc. Moreover, probiotics can enhance intestinal barrier function in a variety of ways, such as upregulating mucus production by goblet cells, enhancing zonula occludens-1 (ZO-1), occludin, and claudin-1 expression, and reducing inflammation. Probiotics can also regulate brain function and improve neurological function through the vagus nerve, glucagon-like peptide-1 (GLP-1) pathway, etc. And it can activate the immune system to produce anti-inflammatory factors, alleviating circulatory inflammation and neuroinflammation while downregulating the hyperactive microglia and hypothalamus-pituitary-adrenal (HPA) axis. Similarly, decreased xanthines levels and elevated geraniol levels can also reduce inflammation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-13-1167116-g002.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Animal studies of probiotics on depression and its comorbidities.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Strains</th>
<th valign="top" align="left">Animals</th>
<th valign="top" align="left">Intervention</th>
<th valign="top" align="left">Control/placebo group</th>
<th valign="top" align="left">Duration</th>
<th valign="top" align="left">Clinical findings</th>
<th valign="top" align="left">References</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<italic>L. rhamnosus</italic> JB-1</td>
<td valign="top" align="left">Adult male BALB/c mice<break/>(n = 36)<break/>JB-1 group (n = 16),<break/>Control group (n = 16)</td>
<td valign="top" align="left">JB-1 (10<sup>9</sup>CFU) daily</td>
<td valign="top" align="left">Broth without bacteria</td>
<td valign="top" align="left">28d</td>
<td valign="top" align="left">Induced region-dependent alterations in GABA mRNA in the brain;<break/>&#x2193;Corticosterone;<break/>&#x2193;Depression-related behavior</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B17">Bravo et&#xa0;al., 2011</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>L. rhamnosus</italic> JB-1</td>
<td valign="top" align="left">48 male Wistar rats<break/>Control group (n= 10),<break/>JB-1 group (n= 19),<break/>Placebo (n = 19))</td>
<td valign="top" align="left">JB-1(3.4 &#xd7; 10<sup>8</sup> CFU) daily by oral gavage</td>
<td valign="top" align="left">PBS</td>
<td valign="top" align="left">4w</td>
<td valign="top" align="left">&#x2191;GSH;<break/>&#x2191;Glutamate;<break/>&#x2191;tNAA</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B115">Kochalska et&#xa0;al., 2020</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>L. rhamnosus</italic> JB-1 <italic>and L. reuteri</italic> 6475</td>
<td valign="top" align="left">15 male BALB/c mice<break/>JB-1 group (n=5),<break/>
<italic>L.reuteri</italic> 6475 (n=5),<break/>Placebo (n=5)</td>
<td valign="top" align="left">orally gavaged with JB-1 (2 &#xd7; 10<sup>9</sup>) or <italic>L. reuteri</italic> 6475 (2 &#xd7; 10<sup>9</sup>) daily</td>
<td valign="top" align="left">PBS</td>
<td valign="top" align="left">2w</td>
<td valign="top" align="left">Modulated the activity of interferon signaling, JAK/STAT, and TNF-&#x3b1; <italic>via</italic> NF-&#x3ba;B pathways;<break/>&#x2191;FKBP1A, SNRPN, CELF4, GPM6B, APBB1, NCDN,<break/>RUNDC3A, CPE, CLSTN1</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B87">Haas-Neill et&#xa0;al., 2022</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>B. longum</italic> and <italic>L. rhamnosus</italic>
</td>
<td valign="top" align="left">50 male Wistar rats<break/>5 groups (n=10) each<break/>Control group,<break/>CUMS group,<break/>FOS/GOS group,<break/>BL group,<break/>Lr group</td>
<td valign="top" align="left">BL/Lr (1 &#xd7; 10<sup>10</sup> CFU)</td>
<td valign="top" align="left">saline</td>
<td valign="top" align="left">28d</td>
<td valign="top" align="left">Ameliorate the CUMS&#x2010;induced loss of weight and depressive&#x2010;like behaviors;<break/>&#x2193;Colonic 5&#x2010;HT;<break/>&#x2191;Central 5&#x2010;HT;<break/>Modulate gut microbiota disturbed by CUMS</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B126">Li H. et&#xa0;al., 2019</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>L. rhamnosus</italic> zz-1</td>
<td valign="top" align="left">60 male C57BL/6 mice,<break/>5 groups (n = 12) each<break/>CUMS group,<break/>L.Rzz 9 group,<break/>L.Rzz 8 group,<break/>L.Rzz 7 group,<break/>Control group</td>
<td valign="top" align="left">zz-1 (2 &#xd7; 10<sup>9/</sup>10<sup>8</sup>/10<sup>7</sup> CFU)</td>
<td valign="top" align="left">saline</td>
<td valign="top" align="left">6w</td>
<td valign="top" align="left">&#x2191;Body growth rate;<break/>&#x2191;Sucrose preference;<break/>&#x2193;Immobility time;<break/>&#x2191;Curiosity and mobility;<break/>&#x2193;ACTH, CORT;<break/>&#x2191;CRF;<break/>&#x2191;5-HT, NE, and DA;<break/>&#x2191;BDNF and TrkB;<break/>&#x2193;Intestinal damage;<break/>&#x2193;Intestinal inflammation;<break/>
<italic>&#x2191;</italic>Firmicutes;<break/>&#x2191;Firmicutes/Bacteroidetes;<break/>&#x2191;Lachnospiraceae NK4A136 group;<break/>
<italic>&#x2193;</italic>Bacteroidetes, <italic>Bacteroides</italic>, and <italic>Muribaculum</italic>
</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B227">Xu J. et&#xa0;al., 2022</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>L. reuteri</italic> NK33 and<break/>
<italic>B. adolescentis</italic> NK98</td>
<td valign="top" align="left">42 male C57BL/6 mice<break/>6 groups (n=7) each<break/>(NC, C, PC, NK33, NK98, and Mix)</td>
<td valign="top" align="left">NK33 (1 &#xd7; 10<sup>9</sup> CFU)<break/>NK98 (1 &#xd7; 10<sup>9</sup> CFU)<break/>Mix (1 &#xd7; 10<sup>9</sup> CFU 1:1 mixture of NK33 and NK98)</td>
<td valign="top" align="left">maltose<break/>buspirone</td>
<td valign="top" align="left">5d</td>
<td valign="top" align="left">&#x2193;LPS;<break/>&#x2193;GC;<break/>&#x2193;IL-6;<break/>&#x2191;BDNF;<break/>&#x2193;NF-&#x3ba;B activation;<break/>&#x2193;Proteobacteria;<break/>&#x2193;Suppress anxiety/depression;<break/>Activated microglia infiltration;<break/>Suppress IS-induced colon shortening, myeloperoxidase activity</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B99">Jang et&#xa0;al., 2019</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>L. delbrueckii</italic>
</td>
<td valign="top" align="left">32 C57BL/6J mice<break/>4 groups (n=8) each<break/>normal control group,<break/>control + Lac group,<break/>model group,<break/>model + Lac group</td>
<td valign="top" align="left">10<sup>9</sup> CFU of Lac daily by oral gavage</td>
<td valign="top" align="left">saline</td>
<td valign="top" align="left">7d</td>
<td valign="top" align="left">&#x2191;ZO-1 and E-cadherin;<break/>&#x2193;Overactivation of microglia;<break/>&#x2191;DAT;<break/>&#x2193;IL-1&#x3b2;, TLR4, and NLRP3;<break/>Inhibited dysbiosis</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B176">Qiu et&#xa0;al., 2021</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>L. casei</italic>
</td>
<td valign="top" align="left">20 male Sprague-Dawley rats<break/>4 groups (n=5) each<break/>CUMS+Lac,<break/>CUMS+paroxetine,<break/>CUMS+saline,<break/>Saline</td>
<td valign="top" align="left">
<italic>L. casei</italic>
<break/>(8 &#xd7; 10<sup>8</sup> CFU)</td>
<td valign="top" align="left">saline</td>
<td valign="top" align="left">4w</td>
<td valign="top" align="left">&#x2191;Body growth rate;<break/>&#x2191;Sucrose preference;<break/>&#x2193;Immobility time;<break/>&#x2191;Moving distance and velocity;<break/>Amend the gut microbiota structure changes;<break/>&#x2191;NE, DA, 5-HT, BDNF, TrkB, NR1;<break/>&#x2193;Activations of ERK1/2 and p38 MAPK signal pathways</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B85">Gu et&#xa0;al., 2020</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>L. helveticus</italic> and <italic>B. longum</italic>
</td>
<td valign="top" align="left">47 male Syrian hamsters divided into 3 groups<break/>placebo group(n=7),<break/>low dose group(n=20),<break/>high dose group(n=20)</td>
<td valign="top" align="left">Low dose:10<sup>9</sup> CFU daily<break/>High dose:10<sup>10</sup> CFU daily</td>
<td valign="top" align="left">excipients</td>
<td valign="top" align="left">14d</td>
<td valign="top" align="left">&#x2191;IL-4, IL-5, and IL-10;<break/>&#x2191;Social avoidance;<break/>&#x2193;Social interaction;<break/>&#x2193;Microbial richness</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B170">Partrick et&#xa0;al., 2021</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>L. paracasei</italic> HT6</td>
<td valign="top" align="left">24 Wistar rats<break/>4 groups (n=6) each<break/>control + Pro,<break/>MS + Pro,<break/>M+P+S+Pro,<break/>MS+S&#x2212;M + Pro</td>
<td valign="top" align="left">10<sup>9</sup> CFU as the fixed dose (starting<break/>from 20 &#xb5;l on PND-2 to 100 &#xb5;l on PND-16 with an incremental<break/>increase in volume of 20 &#xb5;l for every 3 days)</td>
<td valign="top" align="left">/</td>
<td valign="top" align="left">15d</td>
<td valign="top" align="left">Beneficial effect on anxiety-like behavior;<break/>Normalize levels of ACTH, CORT, GR, 5-HT, DA, NA;<break/>Prevent stress-associated GluR1-GR altered interactions</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B105">Karen et&#xa0;al., 2021</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>B. dentium</italic>
</td>
<td valign="top" align="left">Adult germ-free mice<break/>germ-free (MRS broth): males=27, females=30,<break/>live <italic>B.dentium</italic>: males=28, females=29,<break/>live <italic>B.ovatus</italic>: males=5, females=5,<break/>heat-killed <italic>B.dentium</italic>: males =5, females=5.</td>
<td valign="top" align="left">oral-gavaged with 6.4 &#xd7; 10<sup>7</sup> CFU of live <italic>B dentium</italic>, 6 &#xd7; 10<sup>7</sup> CFU of live <italic>B ovatus</italic>, 6.4 &#xd7; 10<sup>7</sup> CFU of heat-killed <italic>B dentium</italic>
</td>
<td valign="top" align="left">sterile MRS broth</td>
<td valign="top" align="left">2w</td>
<td valign="top" align="left">&#x2191;5-HT;<break/>&#x2191;Fecal acetate;<break/>&#x2191;5-HT receptors 2a, 4, and serotonin transporter</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B68">Engevik et&#xa0;al., 2021</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>B. dentium</italic>
</td>
<td valign="top" align="left">74 adult Swiss Webster germ-free mice<break/>
<italic>B.dentium</italic> group (n=33),<break/>heat-killed <italic>B.dentium</italic> (n=10),<break/>control group (n=31)</td>
<td valign="top" align="left">oral gavage with 3.2&#xd7;10<sup>8</sup> CFU <italic>B.dentium</italic>
</td>
<td valign="top" align="left">sterile MRS broth</td>
<td valign="top" align="left">2w</td>
<td valign="top" align="left">&#x2191;Goblet cell markers, Klf4, Tff3, Muc2, Relm-&#x3b2;;<break/>&#x2191;Glycosyltransferases;<break/>&#x2191;Acidic mucin-filled goblet cells;<break/>&#x2191;Autophagy mediated calcium signaling</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B69">Engevik et&#xa0;al., 2019</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>B. dentium</italic>
</td>
<td valign="top" align="left">90 male C57BL/6J mice randomly divided into 11 groups including control group and <italic>B.dentium</italic> N8 group</td>
<td valign="top" align="left">
<italic>B.dentium</italic> N8<break/>(1&#xd7;10<sup>9</sup> CFU)</td>
<td valign="top" align="left">sterile silk milk</td>
<td valign="top" align="left">21d</td>
<td valign="top" align="left">&#x2191;Adhesion ability;<break/>&#x2193;<italic>Escherichia coli</italic> ATCC 25922 adhesion to HT-29 cells;<break/>&#x2191;TEER;<break/>&#x2193;Paracellular permeability of Caco-2 cells;<break/>&#x2191;ZO-1, occludin, and claudin-1 mRNA expression;<break/>&#x2193;TLR4 and pro-inflammatory cytokines (TNF-&#x3b1;, IL-1&#x3b2;, IL-6) mRNA expression</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B240">Zhao et&#xa0;al., 2021</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>B. adolescentis</italic>
</td>
<td valign="top" align="left">Male ICR mice<break/>Exp1:5 groups (n=10)<break/>Con group,<break/>Ami group,<break/>Bif 0.25 group,<break/>Bif 0.5 group,<break/>Bif 1 group<break/>Exp2:3groups (n=12)<break/>Con group,<break/>CRS group,<break/>Bif+CRS group</td>
<td valign="top" align="left">Exp1:0.25/0.5/1.0&#xd7;10<sup>9</sup> CFU B. <italic>adolescentis</italic>
<break/>Exp2:0.25&#xd7;10<sup>9</sup> CFU B. <italic>adolescentis</italic>
</td>
<td valign="top" align="left">Exp1:10 mL/kg distilled water<break/>Exp2:10 mL/kg distilled water</td>
<td valign="top" align="left">21d</td>
<td valign="top" align="left">&#x2191;The time spent in the center of the OFT apparatus, the percentage of entries into the open arms of the EPM and the percentage of time spent in the open arms of the EPM;<break/>&#x2193;Immobility duration in the tail suspension test and the FST;<break/>&#x2191;<italic>Lactobacillus</italic>;<break/>&#x2193;<italic>Bacteroides</italic>;<break/>&#x2193;IL-1&#x3b2;, TNF-&#x3b1;, NF-&#x3ba;B p65, Iba1;<break/>&#x2191;BDNF</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B86">Guo et&#xa0;al., 2019</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>L. plantarum 90sk and B. adolescentis</italic>
</td>
<td valign="top" align="left">48Male BALB/c mice<break/>4 groups (n=12) each<break/>Mixture of strains group,<break/>Fluoxetine group (10 mg/kg),<break/>Monosodium glutamate group 2.5 mg (100 mg/kg),<break/>Distilled water group</td>
<td valign="top" align="left">10<sup>8</sup> CFU LP90sk and 10<sup>7</sup> CFU <italic>B. adolescentis</italic> 150 daily</td>
<td valign="top" align="left">/</td>
<td valign="top" align="left">14d</td>
<td valign="top" align="left">Decrease the duration of immobility of mice in FST</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B235">Yunes et&#xa0;al., 2020</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>B. breve</italic> CCFM1025</td>
<td valign="top" align="left">40 chronically stressed male adult C57BL/6 mice,<break/>4 groups (n=10) each<break/>control,<break/>CUMS,<break/>Fluoxetine,<break/>CCFM1025</td>
<td valign="top" align="left">CCFM1025 of 0.1 ml/10g body weight, 10<sup>9</sup> CFU/mL daily.</td>
<td valign="top" align="left">vehicle</td>
<td valign="top" align="left">5w</td>
<td valign="top" align="left">Alleviate the hyperactive HPA axis and inflammation;<break/>Restore the abnormal gut microbiota;<break/>&#x2193;the pCREB-c-Fos Pathway;<break/>&#x2191;BDNF;<break/>&#x2191;SCFAs;<break/>&#x2191;5-HTP</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B211">Tian et&#xa0;al., 2020</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>B. breve</italic> M-16V</td>
<td valign="top" align="left">CSDS male C57BL/6J mice 4 groups(n=11-22) each<break/>control,<break/>control with M-16V,<break/>CSDS,<break/>CSDS with M-16V</td>
<td valign="top" align="left">AIN-93G diet containing <italic>B.breve</italic> of 5.0&#xd7;10<sup>9</sup> nonviable cells/<break/>0.5 g daily</td>
<td valign="top" align="left">AIN-93G diet</td>
<td valign="top" align="left">33d</td>
<td valign="top" align="left">Suppress IL-1&#x3b2; increase in the PFC and HIP<break/>&#x2191;Time in the interaction zone;<break/>&#x2193;Time in the corner zone;<break/>&#x2193;Bacteroidia;<break/>&#x2191;<italic>Bifidobacterium</italic>
</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B116">Kosuge et&#xa0;al., 2021</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>A. muciniphila</italic>
</td>
<td valign="top" align="left">72 mice randomized to 8 groups<break/>donor CB (n= 10),<break/>donor CRS (n= 20),<break/>RE-CB (n = 6),<break/>RE-CRS (n = 6),<break/>RE-CRS-AKK (n= 6),<break/>RE-CB-DSS (n = 8),<break/>RE-CRS-DSS (n = 8),<break/>RE-CRS-AKK-DSS (n = 8)</td>
<td valign="top" align="left">100 &#x3bc;L of <italic>A. muciniphila</italic> containing 1&#xd7;10<sup>8</sup> bacteria daily</td>
<td valign="top" align="left">PBS</td>
<td valign="top" align="left">14d</td>
<td valign="top" align="left">Restore colonic mucus;<break/>Modify the gut microbiota;<break/>&#x2191;&#x3b1;-diversity;<break/>
<italic>&#x2191;</italic>Verrucomicrobia, <italic>Akkermansia</italic>, and <italic>Ruminiclostridium</italic>;<break/>&#x2193;Immobility time in the TST and FST;<break/>&#x2191;Movement distance in the OFT;<break/>&#x2191;Colon length;<break/>&#x2193;Histopathological scores</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B28">Chen T. et&#xa0;al., 2021</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>A. muciniphila</italic>
</td>
<td valign="top" align="left">24 C57BL/6J mice<break/>3 groups (n=8) each<break/>low-fat diet group,<break/>HFD group,<break/>HFD+P9 group<break/>28 C57BL/6J mice<break/>WT: HFD (n=8),<break/>HFD+P9 (n=8),<break/>IL-6-KO: HFD (n=6),<break/>HFD+P9 (n=6)</td>
<td valign="top" align="left">P9 from <italic>A.muciniphila</italic> (100&#x3bc;g per mouse) daily</td>
<td valign="top" align="left">PBS</td>
<td valign="top" align="left">8w</td>
<td valign="top" align="left">&#x2191;GLP-1;<break/>&#x2191;Uncoupling protein 1</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B231">Yoon et&#xa0;al., 2021</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>A. muciniphila</italic>
</td>
<td valign="top" align="left">Exp1: female C57BL/6 mice (each group n=3-5)<break/>PBS group,<break/>BAA-835 group<break/>Exp2: female Lgr5-EGFP mouse (each group n=3-5)<break/>PBS group,<break/>PBS+R+M group,<break/>BAA-835+R+M group</td>
<td valign="top" align="left">
<italic>A.muciniphila</italic> of 8 &#xd7; 10<sup>8</sup> CFU per dose daily</td>
<td valign="top" align="left">PBS</td>
<td valign="top" align="left">4w</td>
<td valign="top" align="left">Accelerate the proliferation of Lgr5+ ISCs;<break/>Promote the differentiation of paneth cells and goblet cells;<break/>&#x2191;Acetic and propionic acids;<break/>Reduce gut damage;<break/>&#x2191;Intestinal epithelial regeneration</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B114">Kim S. et&#xa0;al., 2021</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>A. muciniphila</italic>
</td>
<td valign="top" align="left">36 C57BL/6 male mice,<break/>6 groups (n=6) each<break/>CRS group,<break/>CRS+AKK group,<break/>AKK group,<break/>CRS+<italic>Lactobacillus</italic> L group,<break/>CRS+<italic>Lactobacillus</italic> H group, Control group</td>
<td valign="top" align="left">AKK (1&#xd7;10<sup>8</sup> CFU) <italic>via</italic> gavage</td>
<td valign="top" align="left">PBS</td>
<td valign="top" align="left">3w</td>
<td valign="top" align="left">&#x2193;GC;<break/>&#x2191;BDNF;<break/>&#x2191;DA;<break/>&#x2191;OFT;<break/>&#x2193;FST, TST;<break/>&#x2191;The total distance;<break/>&#x2191;&#x3b2;-alanyl-3-methyl-l-histidine;<break/>&#x2191;Edaravone;<break/>&#x2191;Verrucomicrobia;<break/>&#x2193;Epsilonbacteraeota, Patescibacteria, Chlorofexi, and Acidobacteria</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B60">Ding et&#xa0;al., 2021</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>C. butyricum</italic> RH2</td>
<td valign="top" align="left">28 male adult SD rats<break/>4 groups (n=7) each<break/>sham,<break/>stress,<break/>stress + RH2,<break/>positive control (Reserpine)</td>
<td valign="top" align="left">RH2 of 1 &#xd7; 10<sup>9</sup> CFU/ml/day/rat) by gastric<break/>gavage</td>
<td valign="top" align="left">vehicle</td>
<td valign="top" align="left">17d</td>
<td valign="top" align="left">&#x2193;ACTH;<break/>&#x2193;CORT;<break/>&#x2191;BDNF;<break/>&#x2193;PAI-1;<break/>&#x2193;FST;<break/>&#x2191;The central area distance, the total distance, and the average speed</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B238">Zhang W. et&#xa0;al., 2022</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>C. butyricum</italic> WZMC1018</td>
<td valign="top" align="left">30 male C57BL/6J mice,<break/>3 groups (n = 10) each<break/>control group,<break/>CUMS group,<break/>Cb group</td>
<td valign="top" align="left">Cb of 2.5&#xd7;10<sup>8</sup> CFU/day/mice</td>
<td valign="top" align="left">the equivalent milk</td>
<td valign="top" align="left">4w</td>
<td valign="top" align="left">&#x2191;5-HT;<break/>&#x2191;BDNF;<break/>&#x2191;GLP-1;<break/>&#x2191;GLP-1R</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B203">Sun et&#xa0;al., 2018</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>C. butyricum</italic> miyairi 588</td>
<td valign="top" align="left">66 male C57BL/6 mice<break/>CBM588/stress group (n=25),<break/>placebo/stress group (n =25)<break/>the mice not exposed to CSDS (n=7 in the probiotics group,<break/>n=9 in the placebo group)</td>
<td valign="top" align="left">sterile water containing miyairi 588 (&gt;5&#xd7;10<sup>6</sup>/CFU)</td>
<td valign="top" align="left">sterile water</td>
<td valign="top" align="left">28d</td>
<td valign="top" align="left">&#x2193;IL-1&#x3b2;, IL-6, and TNF-&#x3b1;;<break/>
<italic>&#x2191;</italic>Firmicutes;<break/>Relieve intestinal dysfunction and hippocampal microglial activation</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B213">Tian T. et&#xa0;al., 2019</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">EF2001</td>
<td valign="top" align="left">152 male ddY mice<break/>Sham group,<break/>OBX group,<break/>OBX+EF-2001 group</td>
<td valign="top" align="left">EF-2001 (250 mg/kg) once a day in a<break/>volume of 0.1 mL/10g mouse body weight</td>
<td valign="top" align="left">water</td>
<td valign="top" align="left">28d</td>
<td valign="top" align="left">&#x2191;Myelin and paranodal proteins;<break/>&#x2191;p-cAMP-CREB expression;<break/>&#x2191;p-NF&#x3ba;B p65 expression in astrocytes, p-signal transducer and activator of STAT3 expression;<break/>&#x2193;Immobile time;<break/>&#x2191;Grooming time;<break/>&#x2191;BDNF;<break/>&#x2191;LIF</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B205">Takahashi et&#xa0;al., 2022</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">EF2001</td>
<td valign="top" align="left">239 male ddY mice<break/>Exp1:<break/>Water group,<break/>DSS 1.5% group,<break/>DSS 1.5%+EF-2001 group,<break/>DSS 1.5%+DEX group<break/>Exp2:<break/>vehicle-treated water group,<break/>vehicle-treated DSS group</td>
<td valign="top" align="left">EF-2001 (250 mg/kg)</td>
<td valign="top" align="left">solvent</td>
<td valign="top" align="left">20d</td>
<td valign="top" align="left">&#x2193;TNF-&#x3b1;, IL-6;<break/>&#x2193;Caspase-3;<break/>&#x2191;Hippocampal neurogenesis<break/>&#x2191;NF-&#x3ba;B p65 expression<break/>&#x2191;XIAP</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B208">Takahashi et&#xa0;al., 2019</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">EC-12</td>
<td valign="top" align="left">Male C57BL/6J mice<break/>EC-12 group (n = 8),<break/>Control group (n = 8)</td>
<td valign="top" align="left">AIN-93M diet with heat-killed EC-12 at a concentration of 0.125%</td>
<td valign="top" align="left">AIN-93M basal diet</td>
<td valign="top" align="left">4w</td>
<td valign="top" align="left">&#x2191;OFT;<break/>&#x2191;EPM;<break/>&#x2193;FST;<break/>&#x2191;Adrb3 and Avpr1a;<break/>&#x2191;<italic>Butyricicoccus</italic> and <italic>Enterococcus</italic>
</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B104">Kambe et&#xa0;al., 2020</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>5-HT, 5-hydroxytryptamine; 5-HTP, 5-hydroxytryptophan; A. muciniphila, Akkermansia muciniphila; ACTH, adrenocorticotropic hormone; B. dentium, Bifidobacterium dentium; C. butyricum, Clostridium butyricum; CBM588, Clostridium butyricum miyairi 588; CFSS, chronic foot shock stress; CLSTN1, Calsyntenin-1; CORT, corticosterone; CPE, Carboxypeptidase E; CRS, chronic restraint stress; CSDS, chronic social defeat stress; CUMS, chronic unpredictable mild stress; d, day; DA, dopamine; DAT, dopamine transporter; EC-12, Enterococcus faecalis EC-12; EF 2001, Enterococcus faecalis 2001; FOS/GOS, fructo-oligosaccharide and galactooligosaccharide; GABA, &#x3b3;-aminobutyric acid; GC, Glucocorticoid; GLP-1, glucagon-like peptide-1; GR, glucocorticoid receptor; HFD, high-fat-diet; HPA, hypothalamic-pituitary-adrenal; IL-10, interleukin 10; IL-4, interleukin 4; IL-5, interleukin 5; ISCs, intestinal stem cells; JAK/STAT, The Janus kinase/signal transducers and activators of transcription; Klf4, Kr&#xfc;ppel-like factor 4; LIF, leukemia inhibitory factor; LPS, lipopolysaccharide; m, month; MAPK, mitogen-activated protein kinase; miR, microRNAs; NA, noradrenaline; NE, noradrenaline; NMDAR, N-methyl-D-aspartic acid receptor 1; OFT, open field test; PAI-1, plasminogen activator inhibitor 1; pCREB, phosphorylated cAMP-response-element-binding; SCFA, short-chain fatty acid; Tff3, Trefoil factor 3; tNAA, total N-acetylaspartate; TNF-&#x3b1;, tumor necrosis factor-&#x3b1;; TrkB, tyrosine kinase receptor B; TST, tail suspension test; w, week; XIAP, X-linked inhibitor of apoptosis protein; ZO-1, zonula occludens 1.</p>
</fn>
<fn>
<p>/: no found; &#x2193;: downregulation; &#x2191;: upregulation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s4_1">
<label>4.1</label>
<title>
<italic>Lactobacillus</italic>
</title>
<p>
<italic>Lactobacillus</italic> is one of the most widely used and intensively studied probiotic bacteria in gut microbiota. <italic>Lactobacillus</italic> spp. are anaerobic, gram-positive, peroxidase-negative, non-spore-forming rods that grow better under the microaerobic condition. As one of the inhabitants of the healthy microbiota in the human gut, vagina, and oral cavity, <italic>Lactobacilli</italic> have been considered safe microorganisms for the host health, with low pathogenic potential, and lack the ability to transmit antibiotic resistance factors to pathogens (<xref ref-type="bibr" rid="B183">Saarela et&#xa0;al., 2000</xref>). Thus, <italic>Lactobacilli</italic> strains isolated from natural products have been proposed as promising probiotic candidates. Several <italic>Lactobacilli</italic> strains have been used as probiotics, including <italic>L. plantarum</italic>, <italic>L. fermentum</italic>, <italic>L. rhamnosus</italic> and <italic>L. casei</italic>, which are isolated from the gut and exert various benefits to the host, including attenuation of anxiety and cognitive improvement (<xref ref-type="bibr" rid="B83">Goldstein et&#xa0;al., 2015</xref>). Many previous studies have demonstrated the beneficial effects of these <italic>Lactobacilli</italic> strains on mood, anxiety, and cognition, which can be considered as potential psychobiotics.</p>
<p>Among these <italic>Lactobacilli</italic> strains, <italic>L. rhamnosus</italic> must be mentioned, which is acid- and bile-stable and has a strong affinity for human intestinal mucosal cells. Many animal studies have found that oral administration with one <italic>L. rhamnosus</italic> strain, <italic>L. rhamnosus</italic> JB-1 (JB-1), demonstrates psychoactive and neuroactive properties. JB-1 can change the levels of neurotransmitters in the brains of mice, which in turn reduces stress-induced anxiety- and depression-related behaviors (<xref ref-type="bibr" rid="B17">Bravo et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B101">Janik et&#xa0;al., 2016</xref>). JB-1 consistently regulates the expression of GABA<sub>A</sub> and GABA<sub>B</sub> receptors in a region-dependent manner in mice, restoring metabolites such as GABA and glutamate to normal levels and reducing corticosterone levels (<xref ref-type="bibr" rid="B209">Tette et&#xa0;al., 2022</xref>). Janik et&#xa0;al. reported that 25% of central GABA levels could be elevated by four weeks of treatment with the JB-1 strain in BALB/c mice (<xref ref-type="bibr" rid="B101">Janik et&#xa0;al., 2016</xref>). Interestingly, the antidepressant effects of JB-1 depend on the intact vagus nerve connection between the gut and brain (<xref ref-type="bibr" rid="B17">Bravo et&#xa0;al., 2011</xref>). Subphrenic vagotomy prevented this effect, suggesting that the modulatory effect of JB-1 on GABA proceeds through the vagus nerve. JB-1 can directly stimulate vagal afferent neurons in the gut, with signals uploaded to the solitary bundle nucleus, followed by projections to the paraventricular nucleus, ultimately activating the GABAergic system, creating negative feedback, and lowering cortisol levels (<xref ref-type="bibr" rid="B17">Bravo et&#xa0;al., 2011</xref>). In addition, JB-1 also results in modulating the immune system and induces regulatory T cells, which have been found to be both necessary and sufficient to mediate the behavioral effects of bacteria (<xref ref-type="bibr" rid="B135">Liu et&#xa0;al., 2020</xref>). However, JB-1 can attenuate stress-induced behavioral deficits successfully but fails to re-establish the diversity and richness of the gut microbiota or correct the relative abundances of specific bacteria that altered by stress. This suggests that the neuroactive properties of beneficial microbes may not be mediated by gut microbiota restoration, but be determined by their functional activity (bacterial metabolites) and direct modulation of host signaling pathways (<xref ref-type="bibr" rid="B15">Bharwani et&#xa0;al., 2017</xref>).</p>
<p>Another <italic>L. rhamnosus</italic> strain, <italic>L. rhamnosus</italic> GG (LGG), which originates indigenously in the human gut, became available for use as a probiotic in Finland in 1990. LGG colonization early in life increases tight junction protein expression and immunoglobulin A production, upregulates host immune responses, increases intestinal villus length and colonic crypt depth, and enriches beneficial bacteria such as <italic>Bifidobacterium</italic> and <italic>Akkermansia</italic> (<xref ref-type="bibr" rid="B243">Zhou et&#xa0;al., 2022</xref>). With its effects on the increase in SCFAs-producing bacteria such as <italic>Bifidobacterium</italic>, mice had significantly higher levels of acetate, which helped alleviate anxiety (<xref ref-type="bibr" rid="B200">Strati et&#xa0;al., 2016</xref>). LGG has been found to increase GABA concentrations in fermented adzuki bean milk under optimized culture conditions (<xref ref-type="bibr" rid="B198">Song and Yu, 2018</xref>). In addition, LGG implantation can also activate epithelial growth factor receptor expression, enhance serotonin transporter protein expression, modulate the serotonergic system in the gut, and increase the levels of BDNF and GABA receptors in the amygdala and hippocampus (<xref ref-type="bibr" rid="B44">Cui et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B103">Johnson and Foster, 2018</xref>), which can alleviate anxiety and depression symptoms (<xref ref-type="bibr" rid="B227">Xu J. et&#xa0;al., 2022</xref>). Neufeld et&#xa0;al. observed that dietary supplementation with the probiotic LGG alone or in combination with the prebiotics polydextrose and galactooligosaccharide can ameliorate stress-induced increases in anxiety-like behavior (<xref ref-type="bibr" rid="B151">Mcvey Neufeld et&#xa0;al., 2019</xref>). However, the anti-depressive benefits are dependent on live LGG, while treatment with the heat-inactivated form of LGG had no effect.</p>
<p>Two other strains of <italic>Lactobacillus</italic>, <italic>L. rhamnosus</italic> CCFM1228 and <italic>L. paracasei</italic> CCFM1229, can alleviate anxiety- and depression-related behaviors in animal models, which may be achieved by regulating the activity of xanthine oxidase (XO) in brain (<xref ref-type="bibr" rid="B228">Xu M. et&#xa0;al., 2022</xref>). In fact, several anxiety- and depression-related indicators such as immobility time in the forced swimming test (FST), serum corticosterone level, and hippocampal BDNF concentration were significantly associated with XO activity in the cerebral cortex. XO activity is significantly increased in patients with depression, and xanthine and XO produce superoxide anions and free radicals that generate oxidative stress, leading to cellular damage and death. Xanthines synthesized <italic>via</italic> the pentose phosphate pathway can cross the BBB easily to the amygdala and act on oligodendrocytes <italic>via</italic> purine receptors on the cell surface, causing abnormal activation and proliferation of oligodendrocytes, leading to local neuronal hyperactivation in the fear center. <italic>L. paracasei</italic> CCFM1229 significantly upregulated the expression of Grin1, Grin2a, and Grin2b, and enhanced synaptic plasticity in depressed mice (<xref ref-type="bibr" rid="B228">Xu M. et&#xa0;al., 2022</xref>). It could also maintain the structural and functional stability of myelin by upregulating Mbp mRNA expression. Myelin loss and oligodendrocyte dysfunction may be involved in depression pathogenesis. In contrast to LGG, both live and heat-killed <italic>L. paracasei</italic> PS23 can reverse chronic corticosterone-induced anxiety- and depression-like behaviors (<xref ref-type="bibr" rid="B222">Wei et&#xa0;al., 2019</xref>). <italic>L. rhamnosus</italic> CCFM1228 can enhance astrocyte function in depressed mice by upregulating Gfap mRNA expression significantly. <italic>L. rhamnosus</italic> CCFM1228 significantly downregulates CD36 mRNA expression, which is upregulated in depressed mice, and CD36 deficiency may influence depression-like behavior by altering the gut microbiota and inflammatory pathways (<xref ref-type="bibr" rid="B228">Xu M. et&#xa0;al., 2022</xref>). In addition, taurine deficiency may lead to oxidative stress as well as reduced total N-acetylaspartate levels in neurodegenerative diseases, which can be restored by supplementation with <italic>L. rhamnosus</italic> JB-1 (<xref ref-type="bibr" rid="B56">Devkota et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B115">Kochalska et&#xa0;al., 2020</xref>). Of course, other <italic>Lactobacillus</italic> strains, alone or in combination with other microorganisms, have also been investigated for their roles and possible mechanisms in anti-depressive behavior.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>
<italic>Bifidobacterium</italic>
</title>
<p>Like <italic>Lactobacillus</italic>, <italic>Bifidobacterium</italic> is a commonly used probiotic bacterium. <italic>Bifidobacterium</italic> spp. is a genus of gram-positive, non-motile, rod-shaped, sometimes bifurcated at one end, strictly anaerobic bacteria that are widely found in the human and animal digestive tract. Most probiotic <italic>Bifidobacterium</italic> strains have shown positive effects on human health. <italic>Bifidobacterium</italic> inhibits the proliferation of harmful bacteria, ameliorates the function of the gastrointestinal mucosal barrier, and protects against pathogens. With the growing recognition of the existence of the MGB axis, recent studies have identified that <italic>Bifidobacterium</italic> can affect the functioning of the brain and CNS, leading to alterations in behavior, and cognitive abilities of humans and animals. Aizawa et&#xa0;al. found that lower fecal counts of <italic>Bifidobacterium</italic> in depressed patients than that in healthy controls, suggesting that <italic>Bifidobacterium</italic> plays an important role in the pathogenesis of depression (<xref ref-type="bibr" rid="B2">Aizawa et&#xa0;al., 2016</xref>). In GF rats, <italic>Bifidobacterium</italic> can successfully inhibit elevated HPA axis and depression-like behaviors (<xref ref-type="bibr" rid="B153">Messaoudi et&#xa0;al., 2011</xref>). Kazem et&#xa0;al. demonstrated that a significant improvement in depression and well-being status was obtained after the administration of probiotic <italic>Bifidobacterium</italic> spp. for 8 weeks (<xref ref-type="bibr" rid="B106">Kazem et&#xa0;al., 2021</xref>).</p>
<p>Several strains of <italic>Bifidobacterium</italic> such as <italic>B. adolescentis</italic>, <italic>B. dentium</italic>, and <italic>B. infantis</italic> exert beneficial effects in reducing anxiety- and depression-like behaviors, which are related with the production of GABA. These GABA producers can bioconvert monosodium glutamate to GABA (<xref ref-type="bibr" rid="B11">Barrett et&#xa0;al., 2012</xref>). <italic>Bifidobacterium</italic> can biosynthesize GABA from glutamate by the action of glutamate decarboxylase, and then transport it extracellularly by the action of the glutamate GABA antiporter. One efficient GABA producer, <italic>B. adolescentis</italic> 150, can attenuate depression-like behavior during the FST conducted on BALB/c mice (<xref ref-type="bibr" rid="B235">Yunes et&#xa0;al., 2020</xref>). Guo et&#xa0;al. also found that <italic>B. adolescentis</italic> exhibits antidepressant and anxiolytic effects, which are associated with a reduction in inflammatory cytokines and re-establishment the gut microbiota (<xref ref-type="bibr" rid="B86">Guo et&#xa0;al., 2019</xref>). Another <italic>Bifidobacterium</italic> strain, <italic>B. breve</italic> CCFM1025, exerts an antidepressant-like effect by reshaping the gut microbiota, increasing the production of beneficial metabolites, attenuating the HPA axis and inflammation, upregulating BDNF expression, and downregulating c-Fos expression in the brain (<xref ref-type="bibr" rid="B211">Tian et&#xa0;al., 2020</xref>). In one RCT, Tian et&#xa0;al. observed that <italic>B. breve</italic> CCFM1025 can attenuate depression and associated gastrointestinal disorders by altering the gut microbiota and gut tryptophan metabolism (<xref ref-type="bibr" rid="B210">Tian et&#xa0;al., 2022</xref>), suggesting that <italic>B. breve</italic> CCFM1025 is a promising psychobiotic candidate. Interestingly, <italic>B. breve</italic> CCFM1025 can normalize the abundance of SCFA-producing species such as <italic>Heterobacterium</italic> spp., <italic>Clostridium faecium</italic>, and <italic>Clostridium tumefaciens</italic> in patients with depression, whereas <italic>B. longum</italic> subsp. <italic>infantis</italic> E41 significantly reduced the elevated abundance of Veillonellaceae and <italic>Desulfovibrio</italic> (<xref ref-type="bibr" rid="B210">Tian et&#xa0;al., 2022</xref>). 5-hydroxytryptophan (5-HTP), a precursor substance of 5-HT and a key neurotransmitter that can cross the BBB, links bidirectional gut-brain communication, making it possible for the brain and gut to maintain a host&#x2019;s health jointly. Intestinal and serum 5-HTP were positively correlated with brain 5-HT levels. Tian also found that <italic>B. breve</italic> M2CF22M7 and <italic>B. longum</italic> subsp. <italic>infantis</italic> E41 have antidepressant effects in mice, partly by improving the secretion of 5-HTP, reversing the deficits in hippocampal 5-HT, and increasing BDNF levels in the prefrontal cortex (<xref ref-type="bibr" rid="B212">Tian P. et&#xa0;al., 2019</xref>). A previous study also found that chronic stress impaired the negative feedback of corticosterone in the HPA axis by down-regulating the glucocorticoid receptors (Nr3c1), leading to glucocorticoid resistance, which is also coincident with a high level of inflammation. <italic>B. breve</italic> CCFM1025 normalizes the expression of Nr3c1 to reduce cortisol levels (<xref ref-type="bibr" rid="B211">Tian et&#xa0;al., 2020</xref>). In addition, the presence of glutamate decarboxylase genes in <italic>Bifidobacteria</italic> may mediate GABA production, which can complement GABA levels and enhance the negative feedback regulatory mechanism of cortisol, as exemplified by <italic>B. adolescentum</italic> (<xref ref-type="bibr" rid="B64">Duranti et&#xa0;al., 2020</xref>). Higher levels of pro-inflammatory cytokines lead to the onset and progression of depression-related behaviors, whereas <italic>Bifidobacteria</italic> are known for their ability to counter inflammation (<xref ref-type="bibr" rid="B65">Dyakov et&#xa0;al., 2020</xref>). An increase in pro-inflammatory cytokines, namely IL-6, IL-1&#x3b2;, tumor necrosis factor &#x3b1;, and C-reactive protein (CRP), participate actively in the development of depression. <italic>B. bifidum</italic> TMC3115 suppresses the stress-induced increase in IL-6 levels and reduces inflammation, which can alleviate stress-induced inflammatory responses (<xref ref-type="bibr" rid="B229">Yoda et&#xa0;al., 2022</xref>). In addition, <italic>Bifidobacterium</italic> can promote the production of Foxp3<sup>+</sup> Tregs mediated by SCFAs to limit the inflammatory response in peripheral tissues (<xref ref-type="bibr" rid="B6">Arpaia et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B195">Smith et&#xa0;al., 2013</xref>). In contrast to the findings in LGG, Kosuge et&#xa0;al. observed that heat-sterilized <italic>B. breve</italic> M-16V can prevent depression-like behavior and IL-1&#x3b2; expression induced by chronic social defeat stress through modulation of gut microbiota composition in mice (<xref ref-type="bibr" rid="B116">Kosuge et&#xa0;al., 2021</xref>). These findings suggest that <italic>Bifidobacterium</italic> could be used as a potential psychobiotics for the prevention and treatment of depression.</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>
<italic>Akkermansia muciniphila</italic>
</title>
<p>
<italic>A. muciniphila</italic> is a gram-negative anaerobic bacterium, representative of the phylum Verrucomicrobia, a symbiotic bacterium widely distributed in the mucus layer of the human intestine, which lives by breaking down mucin (<xref ref-type="bibr" rid="B54">Derrien et&#xa0;al., 2008</xref>). Due to its beneficial effects in many diseases, it has attracted much attention and research from the academic community and has become a new generation of probiotics. Several studies have shown that <italic>A. muciniphila</italic> can influence glucose and lipid metabolism, and intestinal immunity, while certain food ingredients, like polyphenols, can increase the abundance of <italic>A. muciniphila</italic> in the gut. The abundance of <italic>A. muciniphila</italic> is significantly reduced under certain medical conditions. <italic>A. muciniphila</italic> is negatively associated with DM and obesity. Recent studies indicate that several neurological disorders, including amyotrophic lateral sclerosis, depression, AD, and ASD, disrupt the abundance of <italic>A. muciniphila</italic> (<xref ref-type="bibr" rid="B220">Wang et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B16">Blacher et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B125">Li B. et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B150">Mcgaughey et&#xa0;al., 2019</xref>). <italic>A. muciniphila</italic> has emerged as the &#x201c;sentinel of the gut&#x201d;, which can promote gut barrier integrity, enrich butyrate-producing bacteria modulate immune responses, and inhibit inflammation (<xref ref-type="bibr" rid="B167">Ouyang et&#xa0;al., 2020</xref>). Given its higher abundance in healthy mucosa, <italic>Akkermansia</italic> has been suggested as biomarker of healthy intestines (<xref ref-type="bibr" rid="B150">Mcgaughey et&#xa0;al., 2019</xref>).</p>
<p>
<italic>A. muciniphila</italic> feeds on mucin in the mucus layer of the intestine, thereby settling in the intestine and protecting it from pathogens <italic>via</italic> competitive rejection (<xref ref-type="bibr" rid="B179">Remely et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B113">Kim et&#xa0;al., 2022</xref>). Colonic mucus is heavily dependent on the release of MUC2, a hydrated glycosylated protein produced by cupped cells that adheres to the colonic surface to prevent invasion by luminal microbes and pathogens (<xref ref-type="bibr" rid="B150">Mcgaughey et&#xa0;al., 2019</xref>). <italic>A. muciniphila</italic> can improve MUC2 expression and increase the number of cupped and MUC2 cells to strengthen the colonic mucosal barrier in recipient mice (<xref ref-type="bibr" rid="B28">Chen T. et&#xa0;al., 2021</xref>). At the same time, <italic>A. muciniphila</italic> breaks down mucin to produce SCFAs, such as acetate and propionate, to play a regulatory role. SCFAs can alleviate oxidative stress and inflammatory responses through the GLP-1 pathway, as well as act in intestinal Treg homeostasis or directly through the BBB to increase the levels of neurotransmitters such as glutamine, glutamate, and GABA in the hypothalamus of mice, exerting an antidepressant effect (<xref ref-type="bibr" rid="B236">Zhai et&#xa0;al., 2019</xref>). In socially defeated animals, the decrease of <italic>Akkermansia</italic> spp. was correlated with the behavioral metrics of both anxiety and depression positively. McGaughey et&#xa0;al. found that reduction of fecal <italic>Akkermansia</italic> spp. in mice exhibited decreased center time during the open field test (OFT), indicating increased anxiety-like behavior, as well as decreased sucrose preference, suggesting increased anhedonia (<xref ref-type="bibr" rid="B150">Mcgaughey et&#xa0;al., 2019</xref>). Generally, supplementation with <italic>A. muciniphila</italic> may improve gut dysbiosis due to depression. Ding et&#xa0;al. found that <italic>A. muciniphila</italic> reduces depression-like behaviors induced by chronic stress by regulating gut dysbiosis and metabolic disorders related to the gut microbiota (<xref ref-type="bibr" rid="B60">Ding et&#xa0;al., 2021</xref>). <italic>A. muciniphila</italic> increases the level of <italic>Akkermansia</italic> and decreases the relative abundance of <italic>Helicobacter</italic>, <italic>Lachnoclostridium</italic>, <italic>Candidatus_Saccharimonas</italic>, and <italic>Eubacterium_brachy</italic>, promoting the re-establishment of gut microbiota (<xref ref-type="bibr" rid="B60">Ding et&#xa0;al., 2021</xref>). Increased <italic>Clostridium tumefaciens</italic> abundance after <italic>A. muciniphila</italic> treatment is negatively correlated with the number of microglia, which may exert an anti-neuroinflammatory effect. In addition to gut microbiota modulation, the antidepressant effect of <italic>A. muciniphila</italic> positively correlates with an increase in metabolites, such as edaravone and &#x3b2;-alanyl-3-methyl-l-histidine (<xref ref-type="bibr" rid="B60">Ding et&#xa0;al., 2021</xref>). Edaravone increased serotonin concentrations significantly, whereas &#x3b2;-alanyl-3-methyl-l-histidine increased the levels of dopamine (<xref ref-type="bibr" rid="B60">Ding et&#xa0;al., 2021</xref>). <italic>A. muciniphila</italic> administration may also reduce the degradation of geraniol, which has neuroprotective and anti-inflammatory activities and may alleviate depression (<xref ref-type="bibr" rid="B53">Deng et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B60">Ding et&#xa0;al., 2021</xref>). In addition, Amuc_1100, the outer membrane protein of <italic>A. muciniphila</italic>, also plays an important and direct role in the crosstalk between <italic>A. muciniphila</italic> and its host. Cheng et&#xa0;al. found that Amuc_1100 can improve chronic unpredictable mild stress (CUMS)-induced depression-like behavior and CUMS-induced downregulation of serotonin in the serum and colon of mice, restore gut dysbiosis, upregulate BDNF, and inhibit inflammation in the hippocampus (<xref ref-type="bibr" rid="B31">Cheng et&#xa0;al., 2021</xref>). Recently, they also found that the Amuc_1100<sup>&#x394;80</sup>, a truncated protein with 80 amino acids truncated at the N-terminus of Amuc_1100, shows a better antidepressant effect on modifying CUMS-induced depression-like behavior in mice than Amuc_1100 does (<xref ref-type="bibr" rid="B32">Cheng R. et&#xa0;al., 2022</xref>). Taken together, both human and animal studies have consistently reported that increasing <italic>A. muciniphila</italic> abundance can be a potential method for treating depression- and anxiety-like behaviors. Direct and compelling evidence from future comprehensive pre-clinical analyses and well-designed clinical studies is necessary to explore the therapeutic potential of <italic>A. muciniphila</italic> in depression.</p>
</sec>
<sec id="s4_4">
<label>4.4</label>
<title>
<italic>Clostridium butyricum</italic>
</title>
<p>
<italic>Clostridium butyricum</italic> is a gram-positive anaerobic bacterium that can generate SCFAs by consuming undigested dietary fiber, mainly butyrate and acetate. It has a strong ability to survive independently of stomach and bile acids. <italic>C. butyricum</italic> plays an important role in regulating the gut microbiota, which has been safely used as a probiotic for decades. It is increasingly utilized in the treatment of various human diseases, including intestinal injury, gut-acquired infection, IBS, IBD, neurodegenerative diseases, metabolic diseases, and colorectal cancer (<xref ref-type="bibr" rid="B142">Lynch and Pedersen, 2016</xref>). Generally, <italic>C. butyricum</italic> promotes the proliferation of beneficial <italic>Bifidobacteria</italic>, <italic>Lactobacilli</italic>, and anthropoid bacteria, reducing pathogens and providing benefits to the intestinal microbial ecosystem (<xref ref-type="bibr" rid="B89">Hagihara et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B155">Miao et&#xa0;al., 2018</xref>).</p>
<p>Previous studies have found that exposure to chronic or acute psychosocial stress decreases the level of <italic>Clostridium</italic> spp. in the cecum (<xref ref-type="bibr" rid="B8">Bailey et&#xa0;al., 2011</xref>), while mental stress increases the levels of peripheral IL-6 and chemokine CCL2, and the expression of TLR3 and TLR4 in the prefrontal cortex of suicidal patients with depression, leading to hyperactivation of microglia (<xref ref-type="bibr" rid="B75">Garc&#xed;a Bueno et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B169">Park et&#xa0;al., 2018</xref>). Recently, many preclinical studies have shown that <italic>Clostridium</italic> spp. alone or in combination with other antidepressants can be used to treat depression (<xref ref-type="bibr" rid="B203">Sun et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B213">Tian T. et&#xa0;al., 2019</xref>). Liu et&#xa0;al. found that <italic>C. butyricum</italic> can be considered as a safe and economical therapeutic option to treat mental disorders, which can influence the gut microbiota-butyrate-brain axis in mice (<xref ref-type="bibr" rid="B137">Liu et&#xa0;al., 2015</xref>). A specific phenotype of <italic>C. butyricum</italic>, <italic>C. butyricum</italic> MIYAIRI 588 (CBM588), was isolated from the feces of a Japanese person firstly. CBM588 has been used as a probiotic in humans and domestic animals, exerting a variety of beneficial health effects. Hagihara et&#xa0;al. first reported that the administration of CBM588 improved the ecosystem of the gastrointestinal tract in mice significantly, modulating the gut microbiota composition, increasing the numbers of <italic>Bifidobacterium</italic>, <italic>Coprococcus</italic>, and <italic>Bacteroides</italic>, enhancing butyrate production, and reducing epithelial damage (<xref ref-type="bibr" rid="B89">Hagihara et&#xa0;al., 2018</xref>). They also found that CBM588 treatment caused a functional shift of the gut microbiota toward increased carbohydrate metabolism (<xref ref-type="bibr" rid="B88">Hagihara et&#xa0;al., 2019</xref>). Tian et&#xa0;al. found that 28-day preventive treatment with CBM588 improved depression-like behaviors in mice with chronic social defeat stress (<xref ref-type="bibr" rid="B213">Tian T. et&#xa0;al., 2019</xref>). CBM588 can alter the composition of the gut microbiota, induce a higher abundance of <italic>C. perfringens</italic>, and produce more butyrate, exerting a regulatory effect of SCFAs on the MGB axis and reducing depression-like behavior. Simultaneously, CBM588 prevents stress-induced activation of hippocampal inflammatory microglia by reducing cytokines, including IL-1&#x3b2;, IL-6, and TNF-&#x3b1; (<xref ref-type="bibr" rid="B213">Tian T. et&#xa0;al., 2019</xref>). In a model of CUMS-induced depression, Sun et&#xa0;al. observed that the administration of <italic>C. butyricum</italic> CGMCC 9830 reversed depression-like behavior, increased hippocampal BDNF and 5-HT levels, and improved intestinal GLP-1 levels (<xref ref-type="bibr" rid="B203">Sun et&#xa0;al., 2018</xref>). GLP-1 is secreted by intestinal L cells distributed in the ileum and colon, and changes in the gut microbiota can affect GLP-1 levels, which are closely related to CNS function (<xref ref-type="bibr" rid="B178">Reimann et&#xa0;al., 2008</xref>). By producing metabolic butyrate, <italic>Clostridium</italic> spp. has been implicated in depression through HPA-axis perturbation and damage to intestinal permeability by combining G-protein receptor 43 (GPR43) and GPR41 and regulating NF-&#x3ba;B and PPAR&#x3b3; signaling (<xref ref-type="bibr" rid="B141">L&#xfc;hrs et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B217">Van De Wouw et&#xa0;al., 2018</xref>). In a recent prospective open-label trial, Miyaoka et&#xa0;al. found that subjects with treatment-resistant major depressive disorder (MDD) receiving CBM588 (60 mg/d) in combination with antidepressants (flvoxamine, paroxetine, escitalopram, duroxetine, and sertraline) reported significantly lower median scores across several indices (BDI, HAMD-17, and BAI scores) than those in the control group (<xref ref-type="bibr" rid="B159">Miyaoka et&#xa0;al., 2018</xref>). Although these preclinical and clinical studies have shown the efficacy and safety of <italic>C. butyricum</italic> in depression, future larger-scale RCT on depression should be conducted to provide clearer recommendations for <italic>C. butyricum</italic> application and evaluate its possible mechanisms.</p>
</sec>
<sec id="s4_5">
<label>4.5</label>
<title>
<italic>Enterococcus faecalis</italic>
</title>
<p>
<italic>Enterococcus faecalis</italic> is a gram-positive, facultative anaerobic, lactic acid bacterium belonging to the phylum Firmicutes. <italic>E. faecalis</italic> is a normal resident of the gut in many hosts (<xref ref-type="bibr" rid="B76">Garc&#xed;a-Solache and Rice, 2019</xref>) and is generally believed to be harmless. Some strains of <italic>E. faecalis</italic> with beneficial effects are used as probiotics and starter cultures in the dairy industry, whereas other strains of <italic>E. faecalis</italic> contribute to the development of nosocomial infections and cause bacteremia, endocarditis, or urinary tract infections. Strain-specific differences in probiotic, pathogenic, and commensal <italic>E. faecalis</italic> may depend on their interaction with the host. Thus, <italic>E. faecalis</italic> has received substantial attention owing to its &#x2018;dualistic&#x2019; behavior toward human health.</p>
<p>
<italic>E. faecalis</italic> 2001 (EF-2001), one biogenic lactic acid bacterium, has been used as a probiotic to improve immunity and exert antitumor activity in mice (<xref ref-type="bibr" rid="B34">Choi et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B84">Gu et&#xa0;al., 2017</xref>). Takahashi et&#xa0;al. demonstrated that 20-day administration of EF-2001 can prevent colitis-induced depression-like behavior <italic>via</italic> the MGB axis in mice, which can reduce rectal and hippocampal inflammatory cytokines such as TNF-&#x3b1; and IL-6 and facilitate the NF-&#x3ba;B p65/XIAP pathway in the hippocampus (<xref ref-type="bibr" rid="B208">Takahashi et&#xa0;al., 2019</xref>). Olfactory bulbectomized (OBX) mice is a valuable experimental animal model for MDD, which expresses various depression-like behaviors such as anhedonia, memory impairment, and reduction in sexual contact (<xref ref-type="bibr" rid="B207">Takahashi et&#xa0;al., 2018</xref>). Recently, EF-2001 was shown to prevent OBX-induced depression-like behaviors through the regulation of prefrontal cortical myelination <italic>via</italic> the enhancement of CREB/BDNF and NF-&#x3ba;B p65/LIF/STAT3 pathways (<xref ref-type="bibr" rid="B205">Takahashi et&#xa0;al., 2022</xref>). In addition, this group also found that the anti-dementia effects of EF-2001 in OBX mice are associated with the enhancement of hippocampal neurogenesis <italic>via</italic> the ERK-CREB-BDNF pathway (<xref ref-type="bibr" rid="B206">Takahashi et&#xa0;al., 2020</xref>). Another Japanese group observed that male mice fed a diet supplemented with heat-killed <italic>E. faecalis</italic> strain EC-12 showed decreased anxiety-like behavior in OFT and elevated plus-maze test, which can increase the expression of neurotransmitter receptor genes such as Adrb3, Avpr1a, and Drd5, and improve the gut dysbiosis (<xref ref-type="bibr" rid="B104">Kambe et&#xa0;al., 2020</xref>). These findings suggest that some strains of <italic>E. faecalis</italic> have the potential to alleviate depressive symptoms. Future studies are required to explore the antidepressant effects and the exact mechanism of action of <italic>E. faecalis</italic> in the human brain.</p>
</sec>
</sec>
<sec id="s5">
<label>5</label>
<title>Probiotic treatment for depression-related comorbidities</title>
<p>A large body of evidence has demonstrated that depression is not only more common with other psychiatric disorders; for example, up to 90% of patients with anxiety disorders present with co-morbid depression (<xref ref-type="bibr" rid="B214">Tiller, 2013</xref>), but it is also highly comorbid and occurs together with many physical diseases, such as IBS, IBD, and metabolic syndromes such as DM and obesity. A common pathological mechanism of co-morbidity is a prerequisite for the administration of the same drug to achieve common remission. To understand if probiotics have this potential, we have addressed recent advances in the application of probiotics in depression-related disorders, which will provide novel therapeutic options for these co-morbid disorders associated with depression.</p>
<sec id="s5_1">
<label>5.1</label>
<title>Irritable bowel syndrome</title>
<p>IBS is a chronic dysfunction of the gastrointestinal system characterized by altered bowel habits and abdominal pain in the absence of biochemical or structural abnormalities, primarily manifesting as diarrhea, constipation, or both. IBS affects approximately 7% to 21% of the global population (<xref ref-type="bibr" rid="B33">Chey et&#xa0;al., 2015</xref>). Based on the Rome IV criteria, which was updated in June 2016, the gold standard for the diagnosis of IBS is the exclusion of other diseases (<xref ref-type="bibr" rid="B152">Mearin et&#xa0;al., 2016</xref>). Patients with IBS are categorized into four subtypes based on their predominant stool habits: IBS-C (constipation, 20-30%), IBS-D (diarrhea, 38-50%), IBS-M (mixed type, 6-16%), and IBS-U (unclassified, 24-60%). The pathophysiology of IBS is not fully understood, but evidence suggested that abnormalities in the composition or metabolic activity of the gut microbiota are associated with its progression (<xref ref-type="bibr" rid="B90">Han et&#xa0;al., 2022</xref>). Increasing studies have suggested that the MGB axis plays a role in IBS.</p>
<p>IBS is frequently associated with psychiatric comorbidities such as depression and gut-brain crosstalk is thought to contribute to its development (<xref ref-type="bibr" rid="B177">Ray, 2017</xref>). A significant association between IBS and MDD has been reported previously, and most patients with IBS identify stress and anxiety as symptom aggravators (<xref ref-type="bibr" rid="B118">Lacy et&#xa0;al., 2007</xref>). Lee et&#xa0;al. reported significantly higher levels of depression and anxiety in patients with IBS than in healthy controls (<xref ref-type="bibr" rid="B121">Lee et&#xa0;al., 2017</xref>). Midenfjord et&#xa0;al. also found that patients with IBS who suffered from psychological distress reported more severe gastrointestinal symptoms (<xref ref-type="bibr" rid="B156">Midenfjord et&#xa0;al., 2019</xref>). Recent evidence suggests that gut dysbiosis can be considered one of the fundamental theories that can explain both physical and mental symptoms in patients with IBS. Alterations in the gut microbiota, MGB axis, and neuro-immune system may be the cornerstone of the association between IBS and depression (<xref ref-type="bibr" rid="B161">Mudyanadzo et&#xa0;al., 2018</xref>). A systematic review identified that patients with comorbid IBS and anxiety/depression had lower &#x3b1;-diversity, higher levels of Proteobacteria, Prevotella/Prevotellaceae, and Bacteroides, and lower abundance of Lachnospiraceae than the controls (<xref ref-type="bibr" rid="B193">Simpson et&#xa0;al., 2020</xref>). This suggests that microbiota modulation with specific probiotics or other microecological regulators may be a useful therapeutic approach for depression-related disorders, such as IBS.</p>
<p>In fact, recent findings suggest that probiotics may improve host health in patients with IBS both physically and mentally (<xref ref-type="bibr" rid="B123">Le Morvan De Sequeira et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B239">Zhang T. et&#xa0;al., 2022</xref>). The safety and efficacy of probiotics in the treatment of IBS are supported by numerous clinical studies. A systematic review and network meta-analysis of 43 RCTs involving 5,531 IBS patients provided data regarding the best probiotic species used in the treatment of IBS (<xref ref-type="bibr" rid="B239">Zhang T. et&#xa0;al., 2022</xref>). Several probiotic strains, such as <italic>B. bifidum</italic>, <italic>B. infantis</italic>, <italic>L. casei</italic>, <italic>L. acidophilus</italic>, <italic>L. plantarum</italic>, <italic>Bacillus coagulans</italic>, <italic>C. butyricum</italic>, and <italic>Saccharomyces boulardii</italic> alone or in combination, have been used to treat depression in patients with IBS. Among these probiotic strains, <italic>B. coagulans</italic> exhibited the highest probability of being the optimal probiotic species for improving IBS symptom relief rate, as well as global symptoms, bloating, abdominal pain, and straining scores. <italic>L. plantarum</italic> ranked first in improving the QoL of patients with IBS and had the lowest incidence of adverse events. <italic>B. coagulans</italic> can promote intestinal digestion, maintain host microbiota homeostasis, and regulate the host immune system, and has been studied in the treatment of several human diseases. Recently, a double-blind RCT reported that <italic>B. coagulans</italic> MTCC 5856 as a single probiotic agent at a dose of 2 &#xd7; 10<sup>9</sup> spores (CFU) per day showed robust efficacy in the treatment of patients with IBS symptoms and MDD (<xref ref-type="bibr" rid="B143">Majeed et&#xa0;al., 2018</xref>). <italic>B. coagulans</italic> MTCC 5856 could improve the Montgomery-Asberg Depression Rating Scale (MADRS), and Hamilton Rating Scale for Depression (HAM-D) scores, indicating that it may be a new optional approach for the management of depression in patients with IBS. <italic>B. coagulans</italic> MTCC 5856 can produce SCFAs (such as acetic, propionic, and butyric acid), neurotransmitters, and antimicrobial and anti-inflammatory substances, which could be the possible mechanism of action in alleviating depression symptoms. In addition, this probiotic significantly reduced the level of myeloperoxidase (an inflammatory biomarker), which is responsible for the production of free radicals. Another placebo-controlled trial observed that the probiotic <italic>B. longum</italic> NCC3001 reduced depression, but not anxiety scores, and increased the QoL in patients with IBS (<xref ref-type="bibr" rid="B174">Pinto-Sanchez et&#xa0;al., 2017</xref>). These improvements were associated with changes in the brain activation patterns, indicating that this probiotic reduces limbic reactivity. Despite these promising findings, there is still limited evidence for the efficacy of probiotic intervention in patients with IBS and depression, as the benefit of probiotics tends to be symptom- and strain-specific. Further prospective, larger-scale trials with extended follow-up durations, as well as a detailed assessment of the therapeutic effects of specific probiotic supplementation, are critical prior to managing depression in patients with IBS with probiotics in clinical practice.</p>
</sec>
<sec id="s5_2">
<label>5.2</label>
<title>Inflammatory bowel disease</title>
<p>IBD, including Crohn&#x2019;s disease (CD) and ulcerative colitis (UC), is an idiopathic, lifelong, and destructive chronic inflammatory condition of the gastrointestinal tract that affects tens of millions of people worldwide (<xref ref-type="bibr" rid="B162">Mulder et&#xa0;al., 2014</xref>). The pathogenesis of IBD is incompletely understood, although the major factors influencing IBD may include genetic, environmental, and microbial determinants (<xref ref-type="bibr" rid="B96">Jakubczyk et&#xa0;al., 2020</xref>). Recently, gut microbiota has been increasingly recognized as a critical and central factor in IBD. There is a growing consensus that inappropriate activation of the immune system by commensal bacteria underlies IBD.</p>
<p>The disease burden of IBD includes not only the physiological manifestations of the disease but also psychological and social burdens. Although the link between IBD and psychological disorders remains unclear, patients with IBD have a high prevalence of depression and anxiety. Psychological symptoms appear to be more prevalent in active disease states, with no difference in prevalence between CD and UC. The comorbid prevalence of depressive symptoms was 25.2%, and 38.9% of patients with active IBD had depression (<xref ref-type="bibr" rid="B10">Barberio et&#xa0;al., 2021</xref>). Compared to those who do not show psychiatric symptoms, patients with IBD suffering from depression have a decreased remission, and patients demonstrating depression show a more severe illness over a longer period of time (<xref ref-type="bibr" rid="B199">Stasi and Orlandelli, 2008</xref>). Chen et&#xa0;al. have summarized that depression in IBD may arise through an &#x201c;IBD-inflammation-kynurenine pathway-depression&#x201d; association (<xref ref-type="bibr" rid="B25">Chen LM. et&#xa0;al., 2021</xref>). Thus, encouraging screening and treatment of these comorbid psychiatric disorders may improve the prognosis of patients with IBD.</p>
<p>Gut dysbiosis is commonly observed in IBD patients with depression, generally with increased Firmicutes and reduced Proteobacteria (<xref ref-type="bibr" rid="B26">Chen DL. et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B233">Yuan et&#xa0;al., 2021</xref>). Weis et&#xa0;al. also observed that disorganized gut microbiota and disturbed metabolism were found in patients with active UC accompanied by depression and anxiety, which could increase systematic inflammation (<xref ref-type="bibr" rid="B224">Weis et&#xa0;al., 2019</xref>). The altered gut microbiota in patients with IBD can disturb bidirectional communication in the gut-brain axis, which might be associated with potential consequences for the CNS. The gut dysbiosis in IBD patients with depression represents a potential therapeutic target. The modulation of the gut microbiota using probiotics can alter the behavioral response in IBD, which has been increasingly studied in mouse models. Mice subjected to dextran sodium sulfate (DSS)-induced acute IBD-like colitis demonstrate behavioral changes, including anxiety-like behaviors and cognitive deficits. In DSS-induced animal models, probiotics, such as <italic>B. longum</italic> NCC3001, can reduce anxiety-like behaviors induced in rats in response to DSS-induced colitis (<xref ref-type="bibr" rid="B13">Bercik et&#xa0;al., 2011b</xref>). The probiotic <italic>B. longum</italic> NCC3001 normalizes behavior by decreasing the excitability of enteric neurons, but does not affect MPO activity, histological scores, or BDNF levels. In another previously mentioned behavioral study, Emge et&#xa0;al. found that recognition memory deficits and anxiety-like behavior during acute inflammation in murine IBD were improved by the administration of a probiotic mixture containing <italic>L. rhamnosus</italic> R0011 and <italic>L. helveticus</italic> R0052 (<xref ref-type="bibr" rid="B67">Emge et&#xa0;al., 2016</xref>). The improvements in behavior after probiotic administration were broadly correlated with the restoration of the microbiota and modulated hippocampal c-Fos expression. Inflammation may serve as a common trigger for the altered cognitive function observed in these models. Yoo et&#xa0;al. found that oral administration of a probiotic mixture containing <italic>L. plantarum</italic> NK151, <italic>B. longum</italic> NK173, and <italic>B. bifidum</italic> NK175 could also alleviate stress-induced fatigue, depression, and IBD by modulating inflammatory cytokines and gut microbiota byproducts such as LPS (<xref ref-type="bibr" rid="B230">Yoo et&#xa0;al., 2022</xref>). A previous study found that <italic>E. coli</italic> K1 significantly caused psychiatric disorders, such as depression and memory impairment, and IBD-like colitis in SPF and GF mice (<xref ref-type="bibr" rid="B100">Jang et&#xa0;al., 2018</xref>). Yun et&#xa0;al. observed that oral gavage of <italic>L. gasseri</italic> NK109 significantly alleviated <italic>E. coli</italic> K1-induced depression-like behaviors in GF and SPF mice by regulating the immune response through NF-&#x3ba;B-mediated BDNF expression, IL-1&#x3b2; expression, and vagus nerve-mediated gut-brain signaling (<xref ref-type="bibr" rid="B234">Yun et&#xa0;al., 2020</xref>). In addition, this group demonstrated that <italic>L. reuteri</italic> NK33 and <italic>B. adolescentis</italic> NK98 synergistically improved the occurrence and development of anxiety/depression and colitis by regulating gut immune responses and microbiota composition (<xref ref-type="bibr" rid="B99">Jang et&#xa0;al., 2019</xref>). However, <italic>E. faecium</italic> and <italic>Pediococcus acidilactici</italic>, known as probiotic strains, deteriorated Enterobacteriaceae-induced depression and colitis in mice (<xref ref-type="bibr" rid="B98">Jang et&#xa0;al., 2022</xref>). Another probiotic strain, <italic>Weissella paramesenteroides</italic> WpK4, can reduce anxiety-like and depression-like behaviors in murine models of ulcerative colitis by regulating the MGB axis and reducing gut permeability (<xref ref-type="bibr" rid="B187">Sandes et&#xa0;al., 2020</xref>). One Chinese group also observed that <italic>L. plantarum</italic> DMDL 9010 intake could reduce colitis and depression-like behavior in mice with DSS-induced colitis by upregulating the levels of neurotransmitters (especially 5-HT, DA, NE, and 5-HIAA) and SCFAs (such as butyric acid and propionic acid) (<xref ref-type="bibr" rid="B95">Huang et&#xa0;al., 2022</xref>). Considering these encouraging data from preclinical trials, microbiota modulation with probiotics might offer a novel therapeutic approach to combat behavioral comorbidities, such as depression, in patients suffering from IBD. However, the benefits of these treatments are limited because of the scarcity of interventional studies. Further well-designed clinical trials should be conducted to confirm the benefits of these probiotics in patients with IBD and comorbid depression.</p>
</sec>
<sec id="s5_3">
<label>5.3</label>
<title>Metabolic syndrome</title>
<p>Metabolic syndrome is defined as a cluster of obesity, hypertension, dyslipidemia, and dysglycemia. Over the past few decades, the prevalence of metabolic syndrome has increased markedly worldwide, which may be explained by urbanization, aging, lifestyle changes, and nutritional transition. Metabolic syndrome has become a serious public health problem, highlighting the urgent need to tackle metabolic syndrome in China and other populations (<xref ref-type="bibr" rid="B129">Li et&#xa0;al., 2018</xref>). Obesity is defined as abnormal or excessive fat accumulation that presents a risk to health and is a well-known cause of cardiovascular disease burden and premature death. DM is a chronic disease caused by an inherited or acquired lack of insulin produced by the pancreas or the inability of the body to fully utilize the insulin produced. A growing body of evidence suggests that co-morbid metabolic syndrome and depression are common and are often considered &#x201c;metabolic depression&#x201d; (<xref ref-type="bibr" rid="B52">Demakakos et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B72">Forsythe et&#xa0;al., 2010</xref>). Major depression and the exacerbation of depression symptoms have been reported in 11% and 31% of patients with DM, respectively (<xref ref-type="bibr" rid="B191">Semenkovich et&#xa0;al., 2015</xref>). The lifetime prevalence of major depression is approximately 28.5%. It has been reported that the prevalence of depression in patients with diabetes is higher than in the normal population (<xref ref-type="bibr" rid="B5">Anderson et&#xa0;al., 2001</xref>). In a meta-analysis of 17 community-based studies with 204,507 participants, there was a significant association between depression and obesity (<xref ref-type="bibr" rid="B57">De Wit et&#xa0;al., 2010</xref>). There is evidence of a dose-response effect of obesity severity on the odds of depression (<xref ref-type="bibr" rid="B164">Onyike et&#xa0;al., 2003</xref>). Obesity increases the incidence of depression as a function of metabolic dysfunction (<xref ref-type="bibr" rid="B165">Opel et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B51">Delgado et&#xa0;al., 2018</xref>). Depression is linked to a higher rate of complications in metabolic syndrome, to more disability, and to loss of years of life. Depression worsens glycemic control and causes greater severity of DM complications, resulting in poorer adherence to DM self-care (adherence to diet, checking blood sugar level), increased risk of retinopathy and macrovascular complications, decreased QoL, and increased disability burden (<xref ref-type="bibr" rid="B49">De Groot et&#xa0;al., 2016</xref>). Obesity leads to poorer performance in diverse cognitive tasks, and these deficits are exacerbated in instances of comorbid depressive disorder (<xref ref-type="bibr" rid="B180">Restivo et&#xa0;al., 2017</xref>). Thus, a better understanding of the link between comorbid depression and metabolic syndrome is critical to inform appropriate preventive and intervention strategies. Simultaneous therapeutic option for depression and metabolic syndrome is merited to enhance treatment outcomes in both conditions.</p>
<p>The exact mechanisms underlying the association between depression and metabolic syndrome are poorly understood, and possible pathophysiological overlap has been proposed. However, whether there is a causal relationship between both diseases and the nature of that causal relationship is still unclear. Recent advances have reported that both depression and these metabolic diseases are related to chronic low-grade inflammation and gut dysbiosis (<xref ref-type="bibr" rid="B23">Chan et&#xa0;al., 2019</xref>). The gut microbiota plays a vital role in regulating both the metabolic and brain functions of the host by reducing inflammatory activation and affecting the regulation of energy balance and release of neurotransmitters, suggesting that the gut microbiota can be considered a promising target to treat metabolic depression. To date, there have been no specific pharmacotherapies for metabolic depression. Current therapies for both depression and metabolic syndrome remain suboptimal for many patients, thus making improvements and advances in intervention options in high demand. Increasing evidence indicates that probiotics play a promising role in the management of these comorbidities. Probiotics appear to be effective in reducing depressive symptoms and can improve some of the clinical components of metabolic syndrome, making it a potential new therapeutic option or patient-specific strategy to treat both metabolic and depressive disorders.</p>
<p>Numerous animal and clinical studies have provided evidence for the treatment of metabolic depression with different probiotics. Patterson et&#xa0;al. found that daily administration of GABA-producing <italic>L. brevis</italic> DSM32386 and <italic>L. brevis</italic> DPC6108 ameliorated both metabolic abnormalities and depression-like behavior associated with metabolic syndrome in mice (<xref ref-type="bibr" rid="B172">Patterson et&#xa0;al., 2019</xref>). Specifically, <italic>L. brevis</italic> attenuated various abnormalities associated with metabolic dysfunction, causing a reduction in the accumulation of mesenteric adipose tissue, increased insulin secretion following glucose challenge, improved plasma cholesterol clearance, and reduced despair-like behavior and basal corticosterone production during FST. This exploratory study suggested that increased microbial GABA production could affect both host metabolism and behavior. Another study found that <italic>A. muciniphila</italic> subtype improves olanzapine-induced glucose homeostasis in mice by downregulating G6Pase and phosphoenolpyruvate carboxykinase overexpression, attenuating insulin resistance, and reducing systemic inflammation by restoring intestinal barrier function (<xref ref-type="bibr" rid="B40">Corb Aron et&#xa0;al., 2021</xref>). In addition, one recent ongoing RCT conducted by Gawlik-Kotelnicka et&#xa0;al. found that probiotic administration (including <italic>L. casei</italic>, <italic>L. acidophilus</italic>, and <italic>B. bifidum</italic>) in patients with depression for eight weeks had beneficial effects on the Beck Depression Inventory score, insulin, hs-CRP, and glutathione concentrations (<xref ref-type="bibr" rid="B77">Gawlik-Kotelnicka et&#xa0;al., 2021</xref>). They also evaluated the influence of supplementation with a probiotic mixture including <italic>B. longum</italic> Rosell<sup>&#xae;</sup>-175 and <italic>L. helveticus</italic> Rosell<sup>&#xae;</sup>-52 on depressive symptoms, QoL, inflammation, oxidative stress indices, and fecal microbiota in patients with depression, depending on the metabolic syndrome comorbidity (<xref ref-type="bibr" rid="B77">Gawlik-Kotelnicka et&#xa0;al., 2021</xref>). If successful, the trial will establish an easy-to-use and safe treatment option (probiotic supplement) as an adjunctive therapy in patients who are only partially responsive to pharmacological treatment. In a 2-month clinical trial, treatment with a synbiotic formula of <italic>L. acidophilus</italic> PBS066, <italic>L. plantarum</italic> PBS067, and <italic>L. reuteri</italic> PBS072 with active prebiotics could decrease the prevalence of metabolic syndrome and several cardiovascular risk factors and markers of insulin resistance in older patients, which improved their QoL (<xref ref-type="bibr" rid="B35">Cicero et&#xa0;al., 2021</xref>). The above-mentioned evidence suggests that some specific probiotics could be used as adjunctive treatment options to treat the comorbidity of depression and metabolic syndrome. Thus, future probiotic intervention studies in large cohorts of patients with comorbid depression and metabolic syndrome and more rigorous RCTs are needed to determine whether probiotics can provide benefits for comorbidity treatment in clinical practice.</p>
</sec>
</sec>
<sec id="s6">
<label>6</label>
<title>Summary</title>
<p>Accumulating evidence has identified that the gut microbiota actively participates in bidirectional gut-brain communication, which is considered the &#x201c;second brain&#x201d; of the human body. The gut microbiota has significant impact on the immune system, brain development, and behavior, and its alterations lead to the onset and progression of several neuropsychiatric disorders, including depression. The exact mechanisms by which the gut microbiota causes or alters depression are not fully understood, although current evidence demonstrates that the gut microbiota can affect the development of depression, mainly through the HPA axis, and inflammation, and modify the level of BDNF. Based on the present scientific discoveries, the gut microbiota may be a novel therapeutic target for the prevention and treatment of depression, with pre-clinical and clinical studies suggesting that several strains of probiotics can provide critical benefits for preventing and treating depression. Due to the lack of direct clinical evidence, it still cannot be recommended that probiotics can replace antidepressant medications as the primary treatment for patients with depression. In addition, depression often coexists with IBS, IBD, and metabolic syndromes, further increasing the risk of mortality. The pathophysiological overlap between depression and its comorbidity makes it feasible to treat these diseases with specific probiotics, which can improve both depressive symptoms and comorbid abnormalities. However, it is noteworthy that these benefits are strain-specific, while other influencing factors, including the type of intervention (add-on versus standalone), intervention content (strain combinations and dosing), delivery modes (tablets, capsules, powders, and freeze-dried formulations), patient population, and disease severity threshold for inclusion should also be considered. There is an urgent need to identify safe and effective novel probiotic strains to prevent and treat depression and its comorbidities. In the future, more rigorous RCTs in larger samples of patients diagnosed with depression with/without comorbidity should explore the optimal probiotic supplement content and dosage, long-term safety, and efficacy, along with an appropriate follow-up to assess relapse rates. Probiotic supplementation may serve as a simple and effective dietary intervention to promote mental well-being among patients with depression and depressed comorbidities.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>ZL, and WX conceived and designed the review. JG, LZ, YC, ZL, and WX analyzed the data. JG, LZ, YC, WL, YW, XL, NZ, LS, XC, YS, ZL, and WX discussed the contents, wrote, reviewed, and edited the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This present work was funded by the grants of Key R&amp;D Program of Zhejiang (2022C03060), Zhejiang Basic Public Welfare Research Project (LGF19H010001), Lishui Basic Public Welfare Research Project (2023GYX03), the Research Project of Jinan Microecological Biomedicine Shandong Laboratory (JNL-2022033C), the Taishan Scholar Foundation of Shandong Province (tsqn202103119), the Fundamental Research Funds for the Central Universities (2022ZFJH003) and the Foundation of China&#x2019;s State Key Laboratory for Diagnosis and Treatment of Infectious Diseases.</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
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