Roles of the gut microbiota in human neurodevelopment and adult brain disorders

Abstract

Growing evidence demonstrates the connection between gut microbiota, neurodevelopment, and adult brain function. Microbial colonization occurs before the maturation of neural systems and its association with brain development. The early microbiome interactions with the gut-brain axis evolved to stimulate cognitive activities. Gut dysbiosis can lead to impaired brain development, growth, and function. Docosahexaenoic acid (DHA) is critically required for brain structure and function, modulates gut microbiota, and impacts brain activity. This review explores how gut microbiota influences early brain development and adult functions, encompassing the modulation of neurotransmitter activity, neuroinflammation, and blood-brain barrier integrity. In addition, it highlights processes of how the gut microbiome affects fetal neurodevelopment and discusses adult brain disorders.

Dysbiosis of the gut microbiota is linked to various brain disorders, including Alzheimer’s disease, Parkinson’s disease, multiple sclerosis, and depression. Maintaining gut microbiota homeostasis may help prevent these conditions.

Introduction

The adult gut microbiota is enriched with Firmicutes, Bacteroidetes, and Actinobacteria. Bifidobacterium and Firmicutes levels tend to decline in the elderly, with increased levels of Bacteroidetes and Proteobacterium (Sirisinha, 2016). Lactobacilli, Veillonella, and Helicobacter are the most common bacteria in the gut, while Bacilli, Streptococcaceae, Actinomycinaeae, and Corynebacteriaceae reside in the duodenum, jejunum, and ileum. The composition of the intestinal flora in the life course is affected by various factors, including anatomy, gestational age, mode of delivery, breastfeeding, age, antibiotic usage, diet, ethnicity, lifestyle, and environmental exposure (Van Ameringen et al., 2019). The gut microbiome impacts human physiology, including the nervous system (Sirisinha, 2016; Tremlett et al., 2017; Duttaroy, 2021; Adhikary et al., 2024). The gut microbiome is involved in neurogenesis, myelination, microglial maturation, blood-brain barrier (BBB) integrity, and hypothalamic-pituitary-adrenal (HPA)-axis development (Jiang et al., 2017; Basak et al., 2022).

During fetal development, the microbiome’s initial colonization coincides with the nervous system’s growth in a timely, coordinated manner. The gut microbiome and its metabolites regulate early processes of neurodevelopment (Rogers et al., 2016). With aging, a person loses the ability to maintain brain homeostasis because of gut dysbiosis and docosahexaenoic acid, 22:6n-3 (DHA) deficiency (Rogers et al., 2016; Basak et al., 2022). DHA and its metabolites are vital for functional brain development and maintenance (Mallick et al., 2019). The signaling pathways of DHA and its metabolites are involved in neurogenesis, anti-nociceptive effects, anti-apoptotic effects, synaptic plasticity, Ca²⁺ homeostasis in brain diseases, and the functioning of nigrostriatal activities. The evidence of age-associated dysbiosis of gut microbial composition and its contribution to neurocognition disorders is emerging (Dash et al., 2022; Garg and Mohajeri, 2024). Despite these data, unraveling the intricate modulators of the gut-brain axis in developing neurodegenerative diseases, disease onset, and progression could be beneficial in discovering clinically relevant biotherapies to combat the continuous rise in worldwide neurodegenerative diseases. Although several reviews highlighted the gut-brain axis, very few pointed to the impact of exposure to dietary risks and medicine (drug) on gut microbial balance and neuroinflammation in modulating brain development and brain degenerative diseases. This review summarizes recent evidence on how the gut microbiome can influence early human brain development and impaired brain disorders in age-associated dysbiosis.

Gut microbiota, early brain development and risks of brain dysfunctions

The maternal oral and gut microbiome can influence neurodevelopment during infancy, an essential and dynamic stage of brain growth whose characteristics can predict risk or resilience to neuropsychiatric disorders in childhood or later adulthood (Gomez-Arango et al., 2017). In fact, the connection between maternal gut microbial diversity, brain development, and its function is emerging (Basak et al., 2024). The most direct route of communication between the gut and the brain is the vagus nerve (De la Fuente-Nunez et al., 2018). The CNS interacts with the endocrine, immune, and enteric nervous systems (ENS) to have this intricate regulation. ENS is involved in interconnectivity via the gut-brain axis (GBA). The GBA communicates between the gut microbiome, the gastrointestinal tract, and the nervous system. The interplay between the brain and the gut is crucial as the GBA can modify and regulate cognitive functions and mood, and nutritional compounds transported by the gut that can affect brain development (Sharon et al., 2016; Muhammad et al., 2022). The gut microbiota produces hormones, metabolites, and neurotransmitters, creating a connection between the gut and the brain. Research indicates that diet-associated gut microbial metabolites regulate the relationship between gut microbes and CNS cells (Park and Kim, 2021; Basak et al., 2024). Therefore, dietary strategies centered on signaling molecules associated with gut-brain interaction, including supplementation of SCFAs and tryptophan metabolites, are promising therapeutic options for brain disorders (Gao et al., 2020; O’riordan et al., 2022). A more comprehensive understanding is needed regarding which cells in the brain are affected by gut microbial metabolites to enable the development of more tailored treatments.

Critical temporal control of brain circuit formation, immune cells, and hormone and neurotransmitter signaling pathways regulate neurodevelopment (Kelly et al., 2017; Krol and Feng, 2018). Neurotransmitters stimulate the vagus nerve, microRNA (miRNA), and small non-coding RNA (sncRNA), interacting with the gut microbiota and the CNS. The BBB and intestinal wall permeability regulate communication between the gut microbiota and the CNS.

The germ-free (GF) mice develop abnormal brain functions (Svensson et al., 2015; Tremlett et al., 2017). The colonization of gut microbiota begins before the maturation of neural systems. As a result, it impacts brain function in later life (Bauer et al., 2016). The microbiota interactions along the GBA may modulate brain development. The microbiota influences brain development either prenatally via the mother’s microbiome or postnatally, where factors such as delivery method, breastfeeding, and antibiotic usage. These can alter the healthy gut microbial composition and impact neurodevelopmental processes (Borre et al., 2014; Sharon et al., 2016; Cowan and Cryan, 2021). Perturbation to the mother’s microbiome can affect the development of the fetus via several mechanisms, including metabolic dysregulation (Krol and Feng, 2018; Muhammad et al., 2022). Antibiotic use in pregnant rats resulted in increased anxiety behaviors and reduced sociability in their offspring (Degroote et al., 2016; Tochitani et al., 2016). An association between changes in the vaginal microbiota and, consequently, metabolic processes was reported, a crucial relationship required for proper neurodevelopment (Jasarevic et al., 2015; Muhammad et al., 2022). Moreover, imbalanced microbial colonization leads to metabolic changes and promotes the invasion of opportunist pathogens. After birth, the infant microbiome is enriched with Lactobacillus and Bifidobacterium contributed by the mother. After weaning, foods change the infant’s gut’s microbial composition. Firmicutes are highly abundant in carbohydrate-rich foods, whereas Bacteroidetes are primarily present in foods from animal sources. At one year, the gut microbiota has a high quantity of Akkermansia, Veillonella, Bacteroides, and Clostridium. The diversity of the gut microbiota enriches and stabilizes into adulthood (Rinninella et al., 2019).

Table 1 describes the impacts of the microbiome on the neurotransmitters. The gut microbiota can synthesize dopamine, norepinephrine, gamma-aminobutyric acid (GABA), and serotonin, all of which can modulate the CNS (Borre et al., 2014; Socala et al., 2021; Liu et al., 2022). However, it is unclear if these compounds can cross the BBB and directly affect the brain; nevertheless, they can impact the local gut area by reducing proinflammatory cytokines and regulating gut motility, among others (Krol and Feng, 2018). Other metabolites synthesized by the microbiota are the SCFAs produced by the fermentation of dietary fibers (Dalile et al., 2019; Silva et al., 2020; Muhammad et al., 2022). SCFAs modulate the gut by maintaining the integrity of the intestinal barrier, and they can also affect brain development by modifying the BBB permeability via microglia activation and neuroinflammation regulation. Altered gut microbiota with impaired cognitive activity were associated with developmental disorders. For example, impaired rhythmic processing is associated with altered gut microbiota, which was observed in autism spectrum disorder (Lense et al., 2021; Dash et al., 2022).

Microbial metabolites such as SCFAs (butyric acid, propionic acid, and acetic acid) determine the neuronal, intestinal, and pancreatic differentiation via embryonic sensing mediated by G protein-coupled receptors, GPR43 and GPR41 (Kimura et al., 2020). The location-based alteration of neurotransmitter systems was reported in the brain of GF mice. Increased 5-hydroxytryptamine (5-HT) levels in the hippocampus were reported in the GF mice (Clarke et al., 2013). Upregulated expression of genes involved with brain plasticity and metabolism, including long-term synaptic potentiation and cyclic adenosine monophosphate (cAMP)-mediated signaling system in these mice, were observed (Diaz Heijtz et al., 2011). The microbiome modulates the serotonergic system in early life. There was a decreased hippocampal expression of the 5-HT_1A receptor gene in the dentate gyrus of female GF animals (Neufeld et al., 2011). Expression of the brain-derived neurotrophic factor (BDNF) gene was reduced in the cortex and amygdala in GF mice (Diaz Heijtz et al., 2011). However, the expression of BDNF levels in the hippocampus was inconsistent in GF mice (Clarke et al., 2013). The gut microbiome regulated post-natal neurogenesis in GF mice (Ogbonnaya et al., 2015). However, post-weaning microbiome colonization could not be reversed in these mice. The effect of maternal gut microbiota on embryonic development highlighted its role in shaping the neurometabolic system of the offspring.

The gut microbiome does not only affect brain development per se but also alters hippocampus and amygdala function as well. The amygdala is a critical brain region, a key node for gating anxiety, fear-related responses, and social behavior (Ledoux, 2007). GF mice brain shows increased amygdala volume and dendritic hypertrophy in the basolateral amygdala (BLA). The structural and functional alterations of the amygdala are associated with neuropsychiatric and developmental disorders ranging from anxiety (Janak and Tye, 2015) to autism spectrum disorder (Schumann and Amaral, 2006). GF mice endowed with normal microbiota had pyramidal BLA neurons characterized by stubby, thin, and mushroom spines (Janak and Tye, 2015). The amygdala of GF mice had differentially expressed genes, exon utilization, and RNA edits. Early response genes such as FosB (proto-oncogene), Fos, and early growth response 2 (Egr2) were increased in the amygdala with concomitant increased signaling of the transcription factor cAMP response element-binding protein (CREB) in the GF mice (Luczynski et al., 2016b). In GF mice, reduced expression of immune system genes was reported (Luczynski et al., 2016b). These findings indicate the presence of underdeveloped immune system and immature microglia in GF mice (Erny et al., 2015). Since the immune system plays a crucial role in mediating the microbiota’s effects on brain function, the immature immune system in GF may impact brain development.

The gut microbiome also critically regulates pre-frontal cortical myelination. GF mice had hypermyelination and upregulated expression of genes involved in myelination and myelin plasticity events in the pre-frontal cortex (Hoban et al., 2016). The administration of antibiotics during early development in rats did not affect cognitive function, immune or stress-related responses, or anxiety, but visceral hypersensitivity was observed in their later life (O’mahony et al., 2014). The latter was associated with changes in the spinal expression of pain-associated genes. The post-weaning depletion of the gut microbiota by antibiotics showed a relative change in anxiety and cognitive deficits, as observed in GF mice (Desbonnet et al., 2015). Moreover, the depletion reduced anxiety, induced cognitive deficits, changed tryptophan metabolic dynamics, and decreased BDNF, vasopressin, and oxytocin expression in the adult brain. The gut microbiota contributes to obesity as the specific bacteria can extract excessive energy and store it from the ingested nutrients (Turnbaugh et al., 2006; Gohir et al., 2015). In addition, gut microbiota modulates host lipid metabolism (Harris et al., 2012) and immunity (Myles et al., 2013) and thus may promote an aberrant and chronic low-grade inflammation, as observed in obesity .

The maternal gut microbiome promotes fetal thalamocortical axonogenesis by signaling microbe-modulating metabolites to develop neurons in the brain (Vuong et al., 2020). The gut microbiome mediates adverse effects of maternal environments, such as high-fat diet, obesity, dysregulated immune activation, and stress, on the brain development of offspring. Dysbiosis of the maternal gut microbiota, in response to a high-fat diet (Buffington et al., 2016), stress (Jasarevic et al., 2018), and infection (Kim et al., 2017) during pregnancy, is associated with abnormal brain function and behavior in the offspring (Vuong et al., 2017). Manipulating the maternal microbiome and its metabolites during pregnancy produces offspring with altered tactile sensitivity in two aversive somatosensory behavioral tasks, with no overt differences in many other sensorimotor behaviors. The gut microbiota modulates numerous bioactive compounds impacting the intestine, blood, and other organs (Vernocchi et al., 2016). The maternal gut microbiota-regulated fetal brain metabolites can modulate axon outgrowth in thalamic explants of mice and promote fetal thalamocortical axonogenesis in offspring. Microbiome metabolites such as trimethylamine-N-oxide, imidazole propionate, N, N, N-trimethyl-5-aminovalerate, 3-indoxyl sulfate, and hippurate modulate the neurological status and neurite outgrowth (Vuong et al., 2020). However, the molecular mechanisms of these microbial metabolites’ actions are still unknown. A poorly developed maternal microbiome was associated with decreased brain white matter in the offspring (Keunen et al., 2015; Indrio et al., 2017; Lu et al., 2018). Inflammation-induced changes in the maternal gut microbiome disrupted somatosensory cortical architecture in adult mouse offspring (Shin Yim et al., 2017). The maternal gut microbiome modulates host responses to acute insults in the brain, but whether it impacts offspring brain development is unknown.

The microbiomes in malnourished children showed dysregulated expression of axonogenesis proteins, which were alleviated by treatment with microbiota-enriched diets (Gehrig et al., 2019). Epidemiological studies suggested an association between maternal infection and antibiotic use with a greater risk for neurodevelopmental complications in the offspring (Atladottir et al., 2012; Hamad et al., 2019). The interactions between the gut microbiome and fetal nervous system begin prenatally through influences of the maternal gut microbiota on fetal brain metabolomic profiles and gene expression. However, whether early to mid-gestation is a critical period during which the maternal microbiome promotes fetal neurodevelopment is unknown. The entero-mammary axis enables mothers to transfer microbes from the gut to the mammary gland. While breastmilk influences gut microbiota, gut mucosal immunity, and adipose development (Van Den Elsen and Verhasselt, 2021), no fetal brain development data is known.

Gut microbiota and brain health

The microbiome is an essential functional modulator of the brain and behavior (Vuong et al., 2017). Microbial colonization of the gastrointestinal (GI) tract starts early in birth and matures toward adult composition in three years, closely parallel with brain development. Major depressive disorder is thought to result from the complex interplay of multiple inherited genetic factors and subsequent exposure to a wide range of environmental variables throughout life (Aan Het Rot et al., 2009). There are several different reasons for developing depression; however, studying these ecological variables may be crucial for the prevention and treatment of depressive disorders. The connection between the gut and the brain has, for a long time, been postulated to influence mental health. The connection, the gut-brain axis, is a bidirectional network that links the enteric and central nervous systems (Appleton, 2018). There are now established pathways of the gut-brain axis: neurological, endocrine, humoral/metabolic, and immune. The neurological pathway includes nerves, the enteric nerve system, and neurotransmitters. The endocrine pathway consists of releasing active peptides or stimulating cortisol or norepinephrine, influenced by nutrient availability in the gut. Figure 1 describes the modulation of neuroinflammation and neurodegenerative diseases by gut microbiota.

FIGURE 1

The immune pathway is related to inflammation and cytokine release from the gut. The metabolic pathway consists of the bacterial metabolites, most notably SCFAs. Therefore, the gut-brain axis and its pathways demonstrate how the intestinal environment can influence brain activity. The gut environment is highly influenced by its microbiota, inducing both beneficial and disadvantageous effects. A balanced microbiota is associated with healthy state and maintenance (Bhattacharjee et al., 2022). Simultaneously with this argument, an unbalanced microbiota can give rise to disease and unhealthy precursors. There are many mechanisms behind probiotics’ beneficial effects, and several suggested theories exist. In the context of the gut-brain axis, one can observe a connection between probiotics and the neurological pathway. Tryptophan is a substrate for different neuroactive metabolites, and one of the main pathways for tryptophan catabolizing is the kynurenine pathway. Some probiotics can indirectly affect the tryptophan availability for serotonin synthesis by reducing the activity of enzymes in the kynurenine pathway located in the gut (Dantzer et al., 2011).

The gut microbiota affects brain function by producing compounds such as cytokines and other inflammatory mediators that target the CNS and ENS (Wood and Galligan, 2004). These ENS maintain intestinal activities. The ENS mediates the enteric neurons and connections to the CNS (Rao and Gershon, 2018). Studies on the gut-brain connection demonstrated a complex communication pathway maintaining the gastrointestinal system. It has various consequences on brain function, including higher cognitive function and motivation (Rhee et al., 2009). The GBA, which is a sophisticated bidirectional communication network between the intestine and the CNS, is where communication occurs between the CNS and intestine (Sudo et al., 2004; Skonieczna Zydecka et al., 2018). Communication routes involve the autonomic nervous system, the neuroendocrine system, the HPA axis, the immune system, and metabolic pathways (Duvallet et al., 2017; Blacher et al., 2019; Burberry et al., 2020). Several neurotransmitters (Yano et al., 2015; O’Keefe, 2016) and metabolites, including SCFAs, secondary bile acids, vitamins, and amino acids (Ellwardt et al., 2016; Engelhardt et al., 2016; Mittal et al., 2017), modulate many immunological pathways (Baj et al., 2019; Dalile et al., 2019), which in turn affect cognition, behavior, and learning, movement (Jenkins et al., 2016; Kennedy et al., 2017; Feng et al., 2021). The GBA regulates the immune system, digestive tract, behavior, stress response, and CNS activity (Savignac et al., 2011; Collins et al., 2012; De Palma et al., 2014; Fond et al., 2015; Pirbaglou et al., 2016; Rincel and Darnaudery, 2020). Notably, advancements in gut microbiota sequencing have revealed a strong relationship between the complex ecosystem and the CNS (Knight et al., 2018). In recent years, there has been increasing interest in studying interactions between the brain and gut microbiota and their bidirectional relationship. In addition, a sedentary lifestyle, obesity, stress, and smoking also lower the beneficial gut microbiota (Benjamin et al., 2012). Dietary composition significantly impacts gut complexity and diversity (Machate et al., 2020). For example, high-fat diets are linked to lower numbers of gram-negative and gram-positive bacteria in the intestine, including Bifidobacteria.

Docosahexaenoic acid, 22:6n-3 and gut microbiota: impacts on brain development and function

Dietary supplementation with DHA may have beneficial effects on behavioral and neurophysiological disorders not only via direct action on the brain structure and function but also due to the alteration of the microbial composition of the gut and an indirect action via the blood-gut axis (Jin et al., 2020). The maternal gut microbiota changes fetal brain metabolites and thus affects the brain development and function of the offspring. The critical role of DHA and the maternal microbiome in offspring neurodevelopment is increasingly appreciated. Higher circulating levels of DHA correlate with optimum microbiota diversity (Jin et al., 2020).

DHA is critically required for the structure and function of the brain (Mallick et al., 2019; Basak et al., 2021; Basak and Duttaroy, 2022). DHA is essential in fetal neurodevelopmental processes, including neuronal differentiation (Katakura et al., 2009), neuritogenesis (Dagai et al., 2009), synaptogenesis (Cao et al., 2009), neurite outgrowth (Calderon and Kim, 2004), and synthesis of neuroprotective metabolites (Kim and Spector, 2018). In utero, n-3 fatty acid deficiency alters fetal brain growth and maturation, reducing neuronal and behavioral plasticity in adulthood (Bhatia et al., 2011; Duttaroy and Basak, 2020; Basak and Duttaroy, 2022). A deficiency of DHA during brain development in the third trimester affects the maturation and plasticity of the brain and its functioning during adult life (Duttaroy, 2004; Mallick et al., 2019).

n-3 PUFA (polyunsaturated fatty acid) deficiency also increases tumor necrosis factor-alpha (TNF-α) and lowers glutamate receptors in the CNS (Kitajka et al., 2004). Moreover, low DHA levels and reduced telencephalon structure were observed in the hippocampus of n-3 PUFA-depleted mice (Coti Bertrand et al., 2006). Brain activities such as learning, motor skills, and monoamine transmission were affected during n-3 PUFA deficiency (Carrie et al., 2000). Maternal DHA deficiency may result in gender-specific offspring’s brain development since the efficiency of endogenous DHA conversion enzymes differs in males from females. Maternal DHA deficiency affects the offspring’s stress response, anxiety (Bondi et al., 2014), hippocampal neurogenesis (Srinivas et al., 2023) and brain reward activities (Auguste et al., 2018). The deficiency of the n-3 PUFAs induces hypomyelination in the developing brain, predisposing the offspring to acquire anxiety-related disorders (Bernardi et al., 2013; Bondi et al., 2014; Auguste et al., 2018).

Consequently, the placental and brain transport of LCPUFAs for fetal brain development during the last trimester is critical (Duttaroy, 2004; Duttaroy and Basak, 2021). The uptake of maternal fatty acids is mediated by intracellular and transmembrane proteins such as fatty acid translocase (FAT/CD36), fatty acid-transport proteins (FATPs), plasma membrane fatty acid-binding proteins (FABPpm), and cytoplasmic fatty acid-binding proteins (FABPs) in the placenta (Campbell et al., 1998; Crabtree et al., 1998; Dutta-Roy, 2000; Johnsen et al., 2009). These proteins are also involved in DHA uptake in the brain (Crabtree et al., 1998; Duttaroy, 2009). MFSD2a (major facilitator superfamily domain-containing protein 2a) a specific protein, can transport plasma lysophosphatidylcholine (LPC)-DHA, but not other DHA forms, across the BBB to the neuron (Basak et al., 2021; Duttaroy and Basak, 2021). Dysregulated placental fatty acid transport carries increased risks of impaired neurodevelopment (Sánchez-Campillo et al., 2020; Basak and Duttaroy, 2022) and cardiometabolic risks (Gómez-Vilarrubla et al., 2021) in the offspring.

DHA-fed rats showed increased BDNF, glutamate ionotropic receptor (GluR2), N-methyl D-aspartate receptor subtype 2B (NR2B), and Tropomyosin receptor kinase B (TrkB) expression in rat brains might promote enhanced memory in rats (Dyall et al., 2007; Bhatia et al., 2011). Collectively, evidence suggests DHA stimulates gene expression directly or by modulating transcription factors of several membrane-associated mediators in brains that may regulate learning and memory functions. In addition, the deficiency of n-3 PUFA resulted in altered dopamine transmission in the brain, probably deranged neurogenesis (Tang et al., 2018). The complex interaction between several brain disorders and intestinal microflora and emotional disorders such as depression, anxiety, and stress in n-3 PUFA deficiency has been demonstrated a relation with gut microbiota alterations (Yang et al., 2021). Bacterial colonization of different species can potentially alter brain functions, and in turn, the central nervous system is speculated to influence the gut microbial composition indirectly (Taylor and Holscher, 2020). Interestingly, the differences in prevalence of some mental disorders between the sexes may also be linked to differences in the microbiota. Studies in mice, for example, show that DHA can lead to reductions in symptoms of anxiety and depression in socially isolated males but not in females, and this is linked to the microbiome (Menni et al., 2017).

Chronic inflammation, aging and brain dysfunctions

The gut microbiota plays a crucial role in human aging, influencing neuroinflammation immune function, and neurodegenerative diseases (Thevaranjan et al., 2017). Chronic inflammation, marked by proinflammatory biomarkers, is linked to various diseases and aging (Furman et al., 2019), often associated with systemic chronic inflammation (SCI) and inflammaging. SCI is sustained by immune activation associated with chronic diseases, while inflammaging refers to low-grade inflammation in aging (Mou et al., 2022). Both processes involve changes in immune cells and the release of proinflammatory molecules. Recognizing SCI early may help delay aging-related health issues. The BBB and neurovascular unit (NVU) are crucial for brain health and disease (Mark and Miller, 1999). Chronic inflammation compromises BBB integrity, contributing to cerebrovascular disorders. Inflammatory cytokines disrupt endothelial junctions, increasing BBB permeability (Mark and Miller, 1999; Blecharz-Lang et al., 2018). Immune cell migration exacerbates BBB damage, facilitated by cytokines and matrix metalloproteinases. Maintaining BBB integrity involves various factors, including cytokines, vascular endothelial growth factor (VEGF), and reactive oxygen species (ROS). Chronic inflammation, driven by environmental or lifestyle factors, plays also a pivotal role in brain diseases. Strengthening BBB integrity may mitigate neurodegenerative disease progression (Huppert et al., 2010; Blecharz-Lang et al., 2018).

Immune surveillance in the brain parenchyma maintains neuronal homeostasis, with the deep cervical lymph nodes playing a role in priming adaptive immune responses against CNS antigens. The BBB regulates inflammation, and changes in BBB permeability contribute to neuroinflammatory diseases. Chemokines are crucial in BBB integrity and immune cell migration into the CNS. Pro-inflammatory cytokines are elevated in metabolic syndrome and other diseases, impacting BBB integrity and neuroinflammation. Microglia activation is a hallmark of neuroinflammation and can lead to BBB dysfunction. Multiple sclerosis (MS) exemplifies how chronic systemic inflammation affects neuroinflammation via BBB dysregulation. Th17 cells and IL-17 are implicated in multiple sclerosis pathogenesis (Huppert et al., 2010; Surendar et al., 2011; Ohman et al., 2013; Waisman et al., 2015). Understanding immune cell trafficking across the BBB could offer diagnostic insights into neuroinflammatory diseases.

Brain aging, a key indicator of cognitive decline, adds complexity to the pathogenesis of neuroinflammation and neurodegenerative disease (NF&ND) (Cornejo and Von Bernhardi, 2016; Senatorov et al., 2019). Aging and inflammaging negatively affect brain function, with accelerated NF&ND accompanying brain aging. Dysfunctional microglia contribute to chronic neurodegeneration, characterized by hyperactivated transforming growth factor beta (TGFβ) signaling in astrocytes. Microglia activation is a hallmark of NF&ND and aging, with aged microglia showing compromised migration, heightened proinflammatory responses, and altered sensing abilities (Cornejo and Von Bernhardi, 2016). Peripheral T-helper 17 (Th17) lymphocytes play a role in inflammatory disease pathogenesis and can transmigrate across the BBB, contributing to CNS inflammation. BBB dysfunction and energy metabolism disturbances may initiate NF&ND, suggesting potential targets for prevention.

The breakdown of the BBB occurs in aging humans and rodents, starting in middle age and progressing throughout life (Montagne et al., 2019). BBB dysfunction is considered a hallmark of neurological diseases and an early biomarker of cognitive dysfunction. Preclinical studies suggest BBB disruption precedes neurodegeneration in Alzheimer’s disease (AD) (Lin et al., 2021). Changes in BBB permeability, even to small molecules, are associated with mild cognitive impairment. Advanced imaging techniques aid in detecting BBB permeability changes in neurodegenerative diseases. Microglia play a central role in neuroinflammation and BBB integrity (Lin et al., 2021). Dysregulation of microglial function and abnormal brain oxygen supply may contribute to BBB disruption and cognitive decline. BBB disruption is a hallmark of neuroinflammatory and neurodegenerative diseases, but establishing clinical criteria remains challenging.

The glycocalyx on BBB endothelial cells (BECs) prevents macromolecule extravasation and leukocyte adhesion. Chronic inflammation disrupts the glycocalyx, potentially contributing to neuroinflammation and brain aging (Sampei et al., 2021). Lower expression of pattern recognition and chemokine receptors in BECs helps mitigate neuroinflammation. Inflammasome activation in BECs responds to circulating cytokines, potentially influencing neuroinflammation. Inflammasome mechanisms exist in other neurovascular unit members, such as pericytes and astrocytes, suggesting a complex interplay in neuroinflammatory responses (Sampei et al., 2021; Mou et al., 2022). The NVU involves interactions among BECs, pericytes, astrocytes, microglia, and neurons to maintain brain homeostasis. These interactions are crucial for NVU stability, with cytokine crosstalk influencing NVU integrity (Nagyoszi et al., 2010; Haarmann et al., 2019). BECs, frontline defenders against neurotoxicants, interact with pericytes and astrocytes to maintain a low proinflammatory profile. Astrocytes actively contribute to BBB fortification through Sonic Hedgehog (SHH) secretion, regulating BECs and pericytes. Pericytes also play a central role in BBB maintenance and response to inflammation, potentially influencing neuroinflammatory diseases (Mou et al., 2022).

Chronic inflammation disrupts the NVU through various factors, including cytokines, gut microbiota metabolites, and immune cells, impacting BBB integrity. Cytokines like interleukin-1β (IL-1β) and TNF-α influence BBB permeability, while chemokines prime endothelial cells for leukocyte trafficking. Astrocytes and pericytes also respond to inflammation, affecting BBB stability (Nagyoszi et al., 2010). Additionally, aging exacerbates BBB changes, influencing brain microvessel permeability, and astrocyte characteristics (Mou et al., 2022) . Chronic inflammation disrupts the NVU by affecting signaling pathways like Wnt/β-catenin and Sonic Hedgehog (SHH). Inflammatory factors disturb BBB integrity by interfering with Wnt signaling, leading to increased immune cell transmigration. Similarly, IL-1β inhibits astrocyte SHH signaling, promoting BBB disruption and neuroinflammation. The interaction between inflammation and these pathways remains complex and requires further investigation.

Chronic brain diseases and gut dysbiosis

The human gut microbiota, a complex ecosystem of bacteria that live in the gastrointestinal tract, has received considerable interest for its role in many physiological activities, such as metabolism, immunology, and neurological health. Emerging evidence points to a bidirectional link between the gut microbiota and the CNS, influencing the etiology and progression of chronic brain diseases (Cryan and Dinan, 2015; Sharon et al., 2016). Due to disruption of the gut vascular barrier, inflammation can spread through lymphatic drainage and systemic circulation. Lymphatic fluid carries primed immune cells from the intestine to distant sites, including the brain (Thielke et al., 2003; Shale et al., 2013). The gut vascular unit function resembles the BBB, balancing nutrient absorption and barrier function. Disruption of the gut vascular barrier allows pathogens to enter circulation, contributing to systemic inflammation and the gut-liver-brain axis (Mou et al., 2022). The interaction between gut microbiota and immunity impacts inflammation spread. Dysbiosis can disrupt the intestinal barrier, intensifying inflammation locally and systemically (Chung et al., 2012; Mayassi et al., 2019; Al Bander et al., 2020). Gut virome alterations, dietary habits, and microbial metabolites further influence inflammation. Gut microbiota induces systemic inflammation and releases neurotoxic metabolites, affecting conditions like multiple sclerosis (Mou et al., 2022). Numerous studies have implicated alterations in gut microbiota composition, termed dysbiosis, in the pathophysiology of chronic brain disorders such as Alzheimer’s disease, Parkinson’s disease, multiple sclerosis, and mood disorders (Jiang et al., 2017). Dysbiosis is characterized by microbial diversity, abundance, and metabolic activity changes, leading to systemic inflammation, immune dysregulation, and neurotransmitter imbalances (Rogers et al., 2016). For instance, dysbiosis-induced inflammation and disruption of the gut-brain axis have been linked to neuroinflammation, neurodegeneration, and cognitive decline in Alzheimer’s disease and Parkinson’s disease (Sampson et al., 2016). Upon cell activation triggered by exposure to microbes, danger signals, or stress, the inflammasome complex assembles, producing pro-inflammatory cytokines (such as IL-1β and IL-18) and pyroptosis. Evidence indicates a reciprocal relationship between microbiota and inflammasome activation in the brain (Rutsch et al., 2020).

The gut microbiota and its metabolites play a significant role in neuroinflammatory and neurodegenerative diseases (Zhang et al., 2022). Various studies link gut microbiota alterations to the onset and progression of such diseases (Yacyshyn et al., 1996; Buscarinu et al., 2018). Dysbiosis, gut virome changes, dietary habits, and microbial metabolites influence inflammation and disease progression. Although the exact mechanisms remain unclear, interactions between gut microbiota and immune responses in the gut and brain are central to understanding the diseases pathogenesis. Studies show that disturbances in gut microbiota composition contribute to inflammaging, characterized by chronic low-grade inflammation. Centenarians exhibit a distinct gut microbiota associated with reduced inflammation and cognitive decline, while gut microbiota transplantation from elderly individuals exacerbates inflammation and cognitive dysfunction in animal models (Holzer et al., 2017; Thevaranjan et al., 2017). Gut microbiota-induced brain aging is linked to gut dysfunction and systemic inflammation, highlighting the GBA in aging and neurodegeneration (Kim and Jazwinski, 2018; Garcia-Duran et al., 2021). Aging-related changes in circulating immune cells further underscore the role of gut-immune interactions in brain aging (Mou et al., 2022). The bidirectional communication between the gut microbiota and the CNS occurs via various pathways, including the vagus nerve, immune signaling molecules, microbial metabolites, and the enteric nervous system (Sharon et al., 2016).

Preliminary evidence suggests that vagus nerve stimulation holds promise as an adjunctive therapy for treatment-resistant depression, post-traumatic stress disorder, and inflammatory bowel disease. Treatments targeting the vagus nerve elevate the vagal tone and suppress cytokine production, both crucial mechanisms for resilience. Stimulation of vagal afferent fibers in the gut affects monoaminergic brain systems in the brainstem, which are pivotal in mood and anxiety disorders. Additionally, initial evidence indicates that gut bacteria may positively impact mood and anxiety, partly by modulating vagus nerve activity. Given that vagal tone correlates with the ability to regulate stress responses and can be influenced by breathing, its enhancement through practices like meditation and yoga likely contributes to resilience and alleviates mood and anxiety symptoms (Breit et al., 2018). Metabolites such SCFAs, neurotransmitters (e.g., serotonin, dopamine), and neuroactive compounds (e.g., lipopolysaccharides) those are made by gut microbiota, can modulate neuronal activity, synaptic plasticity, and neuroinflammatory responses, thereby influencing brain function and behavior (Cryan and Dinan, 2012).

The bidirectional relationship between chronic brain disorders and gut microbiota dysbiosis underscores the importance of considering the gut-brain axis in the pathogenesis and management of neurological and psychiatric conditions. Disturbances in the simultaneous coordinated process of neuronal as well as gut-microbiome development due to overdoses of antibiotics in infants can lead to an inflammatory state at this critical phase of brain development (Neuman et al., 2018). Compositional alterations in the gut microbiome can result in systemic inflammation and neuroinflammation (Belkaid and Hand, 2014). Moreover, the microbiome also plays an essential role in microglial maturation. It can modulate glial activation in the CNS, which is also considered a regulating factor of neuroinflammation in the CNS (Abdel-Haq et al., 2019). All these events during the developmental process established a foundation for the onset of several brain disorders. Investigating intricate pathways of the microbiome-gut-brain-immune axis in developing neurodegenerative diseases, disease onset, and progression will be beneficial in discovering clinically relevant targeted biotherapies to combat the continuous rise in worldwide neurodegenerative diseases. Further studies are required to elucidate specific molecular signaling pathways that underlie neuronal development, this knowledge is essential for developing personalized microbiome therapeutics. Future investigations into the intricate interplay between the gut microbiota and the CNS not only promise to advance our understanding of disease mechanisms but also hold the potential to revolutionize patient care through innovative therapeutic strategies.

Effects of antibiotic or drugs on gut-microbiota-brain axis: impact on brain structure and function

Antibiotics impact on gut microbiota composition and diversity. Depending on their structure, dose, and exposure time, antibiotics reduce the diversity and abundance of the gut microbiome. The use of antibiotics in intrapartum increases the number of Bacteroides and Enterobacteria while decreasing Bacteroidetes in the newborn gut microbiota (Sanchorawala et al., 2017). Antibiotic-induced dysbiosis disturbs gut-brain communication and influences behavior in mice, demonstrating the influence of gut microbiota on brain function (Dahiya and Nigam, 2023; Wan et al., 2023). The antibiotic-induced dysbiosis and GF animals established the GBA’s relation with brain function. Antibiotics deplete the gut microbiota, resulting in decreased neurogenesis in adult animals. The antibiotic effect was reversed by physical activity and or consumption of a probiotic cocktail (Ogbonnaya et al., 2015). The use of antibiotics is negatively associated with the expression of hippocampal BDNF and the recognition memory of mice, as antibiotic use decreased the gut microbial diversity and population in infants (Fröhlich et al., 2016). The cognitive deficit was associated with reduced bacteria-derived metabolites in the colon, altered lipid composition, and changing the expression of neuronal signaling receptors such as N-methyl-D-aspartate (NMDA) 2B, tight junction protein, etc. Table 2 describes the impacts of antibiotics on the gut microbiota. GF mice studies highlighted the critical role of the gut microbiota in early brain development (Sampson and Mazmanian, 2015; Luczynski et al., 2016a).

Drug-induced gut dysbiosis can influence brain activity through the microorganisms present in the gut and their metabolites (Garg and Mohajeri, 2024). Almost 15,000 drugs are used for the treatment of various diseases worldwide. Many drugs may induce dysbiosis in addition to their intended pharmacological effects. However, one significant side effect of antibiotics is a severe alteration of gut microbial compositions. Therefore, in addition to their intended effect, these drugs have other effects via altered gut microbiota. Dysbiosis is observed in many different diseases, suggesting a link between the alteration of the microbiome with the disease and its treatments. Thus, drug-induced gut microbiota alterations could influence brain-related diseases. Table 3 shows the drug-induced dysbiosis and brain-disorder-related dysbiosis. Numerous studies showed a strong relationship between antibiotic-induced dysbiosis and impacting GBA. Many drugs, such as antidepressants, statins, and non-steroidal anti-inflammatory drugs etc., have gut-microbiome-altering effects (Lagadinou et al., 2020; Essmat et al., 2023; Zadori et al., 2023; Garg and Mohajeri, 2024). Therefore, there is a connection between the agents with “newly found” antimicrobial properties and their mechanisms of affecting the microbiota-gut-brain axis. Only a few studies exist combining non-antibiotic drug-induced alterations to the microbiota-gut-brain axis. Taking into account all relevant human data and supporting mechanistic data published in preclinical studies showed that metformin, statins, proton-pump inhibitors (PPIs), and nonsteroidal anti-inflammatory drugs (NSAIDs) may alter microbiota-gut-brain-axis and cause depression, multiple sclerosis, Parkinson’s, and Alzheimer’s as examples of neuronal diseases.

Ruminococcus spp., an advantageous SCFA producer, is elevated in all the drug users and diseases mentioned above. Prevotella and Akkermansia muciniphila all have lipopolysaccharides (LPS) in their cell walls and produce beneficial SCFAs. Escherichia, also an LPS carrier, can metabolize 5-HT as a precursor for extracellular amyloids (Essmat et al., 2023; Garg and Mohajeri, 2024). Genus Clostridia has toxicogenic species such as Clostridium difficile and also SCFA-producer species. Depression has depleted levels of SCFAs and GABA. However, Bacteroides spp. are increased. They would be in abundance if the disease is correlated with the use of statins and NSAIDs. Bacteroides are GABA and SCFA producer and have LPS in their cell walls. These examples suggest that the relative abundances of the bacterial populations to each other and their interplay would influence the microbiota-gut-brain axis and not specific bacterial strains. In addition, the drugs discussed are frequently taken together in comorbid patients (Zadori et al., 2023). Thus, their effects may counteract each other or intensify the respective changes in bacterial populations and associate positively or negatively with dysbiosis in neurological diseases. Depending upon the study, the bacterial specimens were either from the upper, middle, or lower gastrointestinal tract or stool samples.

In addition, the fecal bacterial samples from humans in antibiotic-treated mice were transplanted to support their clinical studies’ results further. There was a link between using medicines and microbiota-gut-brain-axis and between microbiota-gut-brain-axis and neuronal diseases, respectively (Carabotti et al., 2015). Future studies could focus on the implications of medicinal drugs used to treat somatic diseases and their gut-altering effects on the microbiota-gut-brain axis influencing the onset or progression of brain-related disorders. Since the gut microbiome changes various environmental and lifestyle factors, comorbid elderly people should also be considered in such studies. While taking more than one medication and having a poor diet due to a lack of appetite, one might expect different changes in the gut microbiota of older people. However, the search for the correlation between daily prescribed drugs-induced dysbiosis and their implications on brain-related disorders via the microbiota-gut-brain axis is still a new topic (Loh et al., 2024). Enough data on these correlations does not exist to derive any definitive conclusions. Closing this knowledge gap may result in new critical perspectives for better understanding the bidirectional communication of the microbiota-gut-brain axis and treating patients with the respective individualized treatment with novel therapies.

Consuming pharmaceuticals affects the GBA. Moreover, proton pump inhibitors (PPIs) have been linked to changes in gut microbiota composition. PPI use was associated with changes in gut microbial diversity and increased abundance of potentially dangerous bacteria, indicating a possible mechanism by which PPIs may alter gut-brain communication (Jackson et al., 2016). Nonsteroidal anti-inflammatory medicines (NSAIDs) are also linked to gut microbiome dysbiosis. NSAID use was associated with changes in gut microbial composition and increased intestinal permeability in mice, indicating a possible relationship between NSAIDs, gut barrier function, and brain health (Maseda et al., 2019). These findings highlight the complex link between drug-induced alterations in gut microbiota and their potential effects on the gut-brain axis. Understanding these interactions is critical for creating strategies to reduce medicines’ adverse effects on gut and brain health and improve therapeutic outcomes.

Probiotics and brain health: human trials

The association between gut microbiota and brain functions and behavior has emerged as an important research area. The gut microbiota and its metabolites may impact the immune and CNS via substances such as SCFAs, serotonin, and GABA (Huang et al., 2016; Kelly et al., 2016; Mu et al., 2016). Correlations between human fecal microbiota and depression were reported (Naseribafrouei et al., 2014). An increased fecal bacterium was observed in the depressed compared with the control group (Jiang et al., 2015). The elevated HPA axis responses and depression were reversed in the rat model by administering Bifidobacterium infantis (Desbonnet et al., 2010). The Beck Depression Inventory (BDI) and State-Trait Anxiety Inventor (STAI) trait scores were significantly decreased in the probiotic group (Kazemi et al., 2019). However, the co-supplementation showed a significant decrease in BDI, STAI-trait, and STAI-state scores compared with placebo (Moludi et al., 2022). After adjusting for baseline levels and confounding factors, secondary outcomes showed a substantial reduction in inflammatory markers such as LPS and TNF-α levels in the probiotic group.

Supplementation containing Lactobacillus acidophilus, Lactobacillus casei, Bifidobacterium bifidum, and inulin significantly decreased anxiety, depression, and stress scores (Depression Anxiety Stress Scale-21) (Hadi et al., 2019). In another study compared with the probiotic group received Lactobacillus acidophilus, Bifidobacterium bifidum, Bifidobacterium lactis and Bifidobacterium longum, the synbiotic group [received the same strains with fructooligosaccharide (FOS), galactooligosaccharides (GOS), and inulin] had a significant decrease in Hospital Anxiety and Depression Scale (Haghighat et al., 2021). Venkataraman et al. (2021) investigated the effects of Bacillus coagulants, Lactobacillus rhamnosus, Bifidobacterium lactis, Lactobacillus Plantarum, Bifidobacterium breve, and Bifidobacterium infantis among students. There was a significant reduction in BDI and STAI scores in the probiotic group. Secondary outcomes included a decrease in the morning serum cortisol levels. The impact of probiotics on the HPA and mental health involving 75 participants was investigated (Mohammadi et al., 2016). The probiotic group received a daily yogurt containing strains from Lactobacillus acidophilus and Bifidobacterium lactis. In contrast, the probiotic capsule group received a daily capsule containing strains from Lactobacillus casei, Lactobacillus acidophilus, Lactobacillus rhamnosus, Lactobacillus bulgaricus, Bifidobacterium breve, Bifidobacterium longum, Streptococcus thermophilus in addition to a daily conventional yogurt. General health questionnaires (GHQ) and depression anxiety, and stress scores (DASS) significantly improved in both the probiotic yogurt and probiotic capsule groups. There were no significant improvements in kynurenine and kynurenine/tryptophan ratio in the probiotic yogurt or capsule groups. No effect was observed on the HPA, but a substantial improvement in mental health with probiotic supplementation was reported. The probiotic effect of vitamin D for 12 weeks was investigated on mental health in 60 type 2 diabetic patients with coronary heart disease (Raygan et al., 2018). The probiotic strains from Lactobacillus acidophilus, Bifidobacterium bifidum, Lactobacillus reuteri, and Lactobacillus fermentum, plus vitamin D, showed a significant improvement in BDI total score, Beck anxiety Inventory (BAI) score and GHQ compared with the placebo group. The serum hs-C-Reactive Protein (CRP) level was reduced in the probiotic group compared with the placebo. There was a significant decrease in the probiotic group’s mean break division inventory score. The study was conducted for 8 weeks in 40 patients with major depressive disorder who received one daily capsule containing Lactobacillus acidophilus, Lactobacillus casei, and Bifidobacterium bifidum (Akkasheh et al., 2016).

Conclusion

The gut microbiota-brain axis (GBA) communicates between the gut microbiome, the gastrointestinal tract, and the nervous system. The earliest data from germ-free models suggested the critical role of the gut microbiota in deciding early brain development. The influence of maternal gut microbiota on embryonic development suggested its role in shaping the neurometabolic axis and maturing the offspring’s immune system. Gut microbiota, consisting of diverse microbial communities, profoundly affects the CNS through the GBA. Maternal composition of the intestinal flora is affected by multiple factors, including gestational age, mode of delivery, breastfeeding, age, antibiotic usage, ethnicity, lifestyle, environment, and others. The maternal gut microbiome can modulate host responses differentially to acute insults, including malnourishment during in-utero brain development, which can result in a mark for altered brain performance and functions. Such changes in the gut microbiome can influence early human brain development and carry a risk for brain disorders in age-associated dysbiosis. Thus, the maternal microbiome can affect neurodevelopment during infancy, residency for the initial brain growth spurt that can predict risk or resilience to neuropsychiatric disorders later.

Dysbiosis increases susceptibility to brain disorders and neurocognitive function. Understanding the role of gut microbiota dysbiosis in chronic brain disorders holds therapeutic promise for developing novel interventions targeting the gut microbiome. Strategies in restoring microbial homeostasis, such as dietary modifications, prebiotics, probiotics, fecal microbiota transplantation, and microbial-based therapeutics, have shown potential in preclinical and clinical studies for mitigating neuroinflammation, improving cognitive function, and facilitating psychiatric symptoms. However, limited clinical data is available to elucidate the mechanisms underlying gut-brain interactions and optimize the efficacy and safety of microbiota-targeted interventions in diverse ethnicities and populations. Further research is warranted on the causality and mechanisms involved in tracing the gut-brain axis and how this connection can be used in the treatment of mental health disorders such as depression, anxiety, and stress.

References

• 1

  Aan Het Rot M. Mathew S. J. Charney D. S. (2009). Neurobiological mechanisms in major depressive disorder.CMAJ180305–313.

  • Google Scholar

• 2

  Abdel-Haq R. Schlachetzki J. C. M. Glass C. K. Mazmanian S. K. (2019). Microbiome-microglia connections via the gut-brain axis.J. Exp. Med.21641–59. 10.1084/jem.20180794

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 3

  Adhikary S. Esmeeta A. Dey A. Banerjee A. Saha B. Gopan P. et al (2024). Impacts of gut microbiota alteration on age-related chronic liver diseases.Dig. Liver Dis.56112–122. 10.1016/j.dld.2023.06.017

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 4

  Akkasheh G. Kashani-Poor Z. Tajabadi-Ebrahimi M. Jafari P. Akbari H. Taghizadeh M. et al (2016). Clinical and metabolic response to probiotic administration in patients with major depressive disorder: A randomized, double-blind, placebo-controlled trial.Nutrition32315–320. 10.1016/j.nut.2015.09.003

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 5

  Al Bander Z. Nitert M. D. Mousa A. Naderpoor N. (2020). The gut microbiota and inflammation: An overview.Int. J. Environ. Res. Public Health17:7618.

  • Google Scholar

• 6

  Appleton J. (2018). The gut-brain axis: Influence of microbiota on mood and mental health.Integr. Med. (Encinitas)1728–32.

  • Google Scholar

• 7

  Atladottir H. O. Henriksen T. B. Schendel D. E. Parner E. T. (2012). Autism after infection, febrile episodes, and antibiotic use during pregnancy: An exploratory study.Pediatrics130e1447–e1454. 10.1542/peds.2012-1107

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 8

  Auguste S. Sharma S. Fisette A. Fernandes M. F. Daneault C. Des Rosiers C. et al (2018). Perinatal deficiency in dietary omega-3 fatty acids potentiates sucrose reward and diet-induced obesity in mice.Int. J. Dev. Neurosci.648–13. 10.1016/j.ijdevneu.2017.09.003

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 9

  Baj A. Moro E. Bistoletti M. Orlandi V. Crema F. Giaroni C. (2019). Glutamatergic signaling along the microbiota-gut-brain axis.Int. J. Mol. Sci.20:1482. 10.3390/ijms20061482

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 10

  Basak S. Duttaroy A. K. (2022). Maternal PUFAs, placental epigenetics, and their relevance to fetal growth and brain development.Reprod. Sci.30408–427.

  • Google Scholar

• 11

  Basak S. Das R. K. Banerjee A. Paul S. Pathak S. Duttaroy A. K. (2022). Maternal obesity and gut microbiota are associated with fetal brain development.Nutrients14:4515.

  • Google Scholar

• 12

  Basak S. Mallick R. Banerjee A. Pathak S. Duttaroy A. K. (2021). Maternal supply of both arachidonic and docosahexaenoic acids is required for optimal neurodevelopment.Nutrients13:2061.

  • Google Scholar

• 13

  Basak S. Mallick R. Navya Sree B. Duttaroy A. K. (2024). Placental epigenome impacts fetal development: Effects of maternal nutrients and gut microbiota.Nutrients16:1860. 10.3390/nu16121860

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 14

  Bauer K. C. Huus K. E. Finlay B. B. (2016). Microbes and the mind: Emerging hallmarks of the gut microbiota-brain axis.Cell Microbiol.18632–644. 10.1111/cmi.12585

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 15

  Belkaid Y. Hand T. W. (2014). Role of the microbiota in immunity and inflammation.Cell157121–141.

  • Google Scholar

• 16

  Benjamin J. L. Hedin C. R. Koutsoumpas A. Ng S. C. Mccarthy N. E. Prescott N. J. et al (2012). Smokers with active Crohn’s disease have a clinically relevant dysbiosis of the gastrointestinal microbiota.Inflamm. Bowel Dis.181092–1100. 10.1002/ibd.21864

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 17

  Bernardi J. R. Ferreira C. F. Senter G. Krolow R. De Aguiar B. W. Portella A. K. et al (2013). Early life stress interacts with the diet deficiency of omega-3 fatty acids during the life course increasing the metabolic vulnerability in adult rats.PLoS One8e62031–e62042. 10.1371/journal.pone.0062031

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 18

  Bhatia H. S. Agrawal R. Sharma S. Huo Y. X. Ying Z. Gomez-Pinilla F. (2011). Omega-3 fatty acid deficiency during brain maturation reduces neuronal and behavioral plasticity in adulthood.PLoS One6:e28451. 10.1371/journal.pone.0028451

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 19

  Bhattacharjee G. Khambhati K. Gohil N. Singh P. Gohil J. Gautam H. et al (2022). Gut microbiota in gastrointestinal diseases.Prog. Mol. Biol. Transl. Sci.191141–151.

  • Google Scholar

• 20

  Blacher E. Bashiardes S. Shapiro H. Rothschild D. Mor U. Dori-Bachash M. et al (2019). Potential roles of gut microbiome and metabolites in modulating ALS in mice.Nature572474–480. 10.1038/s41586-019-1443-5

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 21

  Blecharz-Lang K. G. Wagner J. Fries A. Nieminen-Kelha M. Rosner J. Schneider U. C. et al (2018). Interleukin 6-mediated endothelial barrier disturbances can be attenuated by blockade of the IL6 receptor expressed in brain microvascular endothelial cells.Transl. Stroke Res.9631–642. 10.1007/s12975-018-0614-2

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 22

  Bondi C. O. Taha A. Y. Tock J. L. Totah N. K. Cheon Y. Torres G. E. et al (2014). Adolescent behavior and dopamine availability are uniquely sensitive to dietary omega-3 fatty acid deficiency.Biol. Psychiatry7538–46. 10.1016/j.biopsych.2013.06.007

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 23

  Borre Y. E. O’keeffe G. W. Clarke G. Stanton C. Dinan T. G. Cryan J. F. (2014). Microbiota and neurodevelopmental windows: Implications for brain disorders.Trends Mol. Med.20509–518.

  • Google Scholar

• 24

  Breit S. Kupferberg A. Rogler G. Hasler G. (2018). Vagus nerve as modulator of the brain-gut axis in psychiatric and inflammatory disorders.Front. Psychiatry9:44.

  • Google Scholar

• 25

  Bryrup T. Thomsen C. W. Kern T. Allin K. H. Brandslund I. Jorgensen N. R. et al (2019). Metformin-induced changes of the gut microbiota in healthy young men: Results of a non-blinded, one-armed intervention study.Diabetologia621024–1035. 10.1007/s00125-019-4848-7

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 26

  Buffington S. A. Di Prisco G. V. Auchtung T. A. Ajami N. J. Petrosino J. F. Costa-Mattioli M. (2016). Microbial reconstitution reverses maternal diet-induced social and synaptic deficits in offspring.Cell1651762–1775. 10.1016/j.cell.2016.06.001

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 27

  Burberry A. Wells M. F. Limone F. Couto A. Smith K. S. Keaney J. et al (2020). C9orf72 suppresses systemic and neural inflammation induced by gut bacteria.Nature58289–94. 10.1038/s41586-020-2288-7

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 28

  Buscarinu M. C. Romano S. Mechelli R. Pizzolato Umeton R. Ferraldeschi M. Fornasiero A. et al (2018). Intestinal permeability in relapsing-remitting multiple sclerosis.Neurotherapeutics1568–74.

  • Google Scholar

• 29

  Calderon F. Kim H. Y. (2004). Docosahexaenoic acid promotes neurite growth in hippocampal neurons.J. Neurochem.90979–988.

  • Google Scholar

• 30

  Campbell F. M. Gordon M. J. Dutta-Roy A. K. (1998). Placental membrane fatty acid-binding protein preferentially binds arachidonic and docosahexaenoic acids.Life Sci.63235–240.

  • Google Scholar

• 31

  Cao D. Kevala K. Kim J. Moon H. S. Jun S. B. Lovinger D. et al (2009). Docosahexaenoic acid promotes hippocampal neuronal development and synaptic function.J. Neurochem.111510–521.

  • Google Scholar

• 32

  Carabotti M. Scirocco A. Maselli M. A. Severi C. (2015). The gut-brain axis: Interactions between enteric microbiota, central and enteric nervous systems.Ann. Gastroenterol.28203–209.

  • Google Scholar

• 33

  Carrie I. Clement M. De Javel D. Frances H. Bourre J. M. (2000). Specific phospholipid fatty acid composition of brain regions in mice. Effects of n-3 polyunsaturated fatty acid deficiency and phospholipid supplementation.J. Lipid Res.41465–472.

  • Pubmed Abstract
  • Google Scholar

• 34

  Chee W. J. Y. Chew S. Y. Than L. T. L. (2020). Vaginal microbiota and the potential of Lactobacillus derivatives in maintaining vaginal health.Microb. Cell Fact.19:203.

  • Google Scholar

• 35

  Chung H. Pamp S. J. Hill J. A. Surana N. K. Edelman S. M. Troy E. B. et al (2012). Gut immune maturation depends on colonization with a host-specific microbiota.Cell1491578–1593. 10.1016/j.cell.2012.04.037

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 36

  Clarke G. Grenham S. Scully P. Fitzgerald P. Moloney R. D. Shanahan F. et al (2013). The microbiome-gut-brain axis during early life regulates the hippocampal serotonergic system in a sex-dependent manner.Mol. Psychiatry18666–673. 10.1038/mp.2012.77

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 37

  Clooney A. G. Bernstein C. N. Leslie W. D. Vagianos K. Sargent M. Laserna-Mendieta E. J. et al (2016). A comparison of the gut microbiome between long-term users and non-users of proton pump inhibitors.Aliment. Pharmacol. Ther.43974–984. 10.1111/apt.13568

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 38

  Collins S. M. Surette M. Bercik P. (2012). The interplay between the intestinal microbiota and the brain.Nat. Rev. Microbiol.10735–742. 10.1038/nrmicro2876

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 39

  Cornejo F. Von Bernhardi R. (2016). Age-dependent changes in the activation and regulation of microglia.Adv. Exp. Med. Biol.949205–226.

  • Google Scholar

• 40

  Coti Bertrand P. O’kusky J. R. Innis S. M. (2006). Maternal dietary (n-3) fatty acid deficiency alters neurogenesis in the embryonic rat brain.J. Nutr.1361570–1575. 10.1093/jn/136.6.1570

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 41

  Cowan C. S. M. Cryan J. F. (2021). The microbiome-gut-brain axis in neurocognitive development and decline.Mod. Trends Psychiatry3212–25.

  • Google Scholar

• 42

  Crabtree J. T. Gordon M. J. Campbell F. M. Dutta-Roy A. K. (1998). Differential distribution and metabolism of arachidonic acid and docosahexaenoic acid by human placental choriocarcinoma (BeWo) cells.Mol. Cell. Biochem.185191–198. 10.1023/a:1006852230337

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 43

  Cryan J. F. Dinan T. G. (2012). Mind-altering microorganisms: The impact of the gut microbiota on brain and behaviour.Nat. Rev. Neurosci.13701–712. 10.1038/nrn3346

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 44

  Cryan J. F. Dinan T. G. (2015). Gut microbiota: Microbiota and neuroimmune signalling-Metchnikoff to microglia.Nat. Rev. Gastroenterol. Hepatol.12494–496. 10.1038/nrgastro.2015.127

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 45

  Dagai L. Peri-Naor R. Birk R. Z. (2009). Docosahexaenoic acid significantly stimulates immediate early response genes and neurite outgrowth.Neurochem. Res.34867–875. 10.1007/s11064-008-9845-z

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 46

  Dahiya D. Nigam P. S. (2023). Antibiotic-therapy-induced gut dysbiosis affecting gut microbiota-brain axis and cognition: Restoration by intake of probiotics and synbiotics.Int. J. Mol. Sci.24:3074. 10.3390/ijms24043074

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 47

  Dalile B. Van Oudenhove L. Vervliet B. Verbeke K. (2019). The role of short-chain fatty acids in microbiota-gut-brain communication.Nat. Rev. Gastroenterol. Hepatol.16461–478.

  • Google Scholar

• 48

  Dantzer R. O’connor J. C. Lawson M. A. Kelley K. W. (2011). Inflammation-associated depression: From serotonin to kynurenine.Psychoneuroendocrinology36426–436.

  • Google Scholar

• 49

  Dash S. Syed Y. A. Khan M. R. (2022). Understanding the role of the gut microbiome in brain development and its association with neurodevelopmental psychiatric disorders.Front. Cell Dev. Biol.10:880544.

  • Google Scholar

• 50

  De la Fuente-Nunez C. Meneguetti B. T. Franco O. L. Lu T. K. (2018). Neuromicrobiology: How microbes influence the brain.ACS Chem. Neurosci.9141–150. 10.1021/acschemneuro.7b00373

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 51

  De Palma G. Collins S. M. Bercik P. Verdu E. F. (2014). The microbiota-gut-brain axis in gastrointestinal disorders: Stressed bugs, stressed brain or both?J. Physiol. (London)5922989–2997. 10.1113/jphysiol.2014.273995

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 52

  Degroote S. Hunting D. J. Baccarelli A. A. Takser L. (2016). Maternal gut and fetal brain connection: Increased anxiety and reduced social interactions in Wistar rat offspring following peri-conceptional antibiotic exposure.Prog. Neuropsychopharmacol. Biol. Psychiatry7176–82. 10.1016/j.pnpbp.2016.06.010

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 53

  Desbonnet L. Clarke G. Traplin A. O’sullivan O. Crispie F. Moloney R. D. et al (2015). Gut microbiota depletion from early adolescence in mice: Implications for brain and behaviour.Brain Behav. Immun.48165–173.

  • Google Scholar

• 54

  Desbonnet L. Garrett L. Clarke G. Kiely B. Cryan J. F. Dinan T. G. (2010). Effects of the probiotic Bifidobacterium infantis in the maternal separation model of depression.Neuroscience1701179–1188. 10.1016/j.neuroscience.2010.08.005

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 55

  Diaz Heijtz R. Wang S. Anuar F. Qian Y. Bjorkholm B. Samuelsson A. et al (2011). Normal gut microbiota modulates brain development and behavior.Proc. Natl. Acad. Sci. U.S.A.1083047–3052.

  • Google Scholar

• 56

  Dutta-Roy A. K. (2000). Transport mechanisms for long-chain polyunsaturated fatty acids in the human placenta.Am. J. Clin. Nutr.71315S–322S.

  • Google Scholar

• 57

  Duttaroy A. K. (2004). Fetal growth and development: Roles of fatty acid transport proteins and nuclear transcription factors in human placenta.Indian J. Exp. Biol.42747–757.

  • Google Scholar

• 58

  Duttaroy A. K. (2009). Transport of fatty acids across the human placenta: A review.Prog. Lipid Res.4852–61.

  • Google Scholar

• 59

  Duttaroy A. K. (2021). Role of gut microbiota and their metabolites on atherosclerosis, hypertension and human blood platelet function: A review.Nutrients13:144.

  • Google Scholar

• 60

  Duttaroy A. K. Basak S. (2020). Maternal dietary fatty acids and their roles in human placental development.Prostaglandins Leukot. Essent. Fatty Acids155102080–102088.

  • Google Scholar

• 61

  Duttaroy A. K. Basak S. (2021). Maternal fatty acid metabolism in pregnancy and its consequences in the feto-placental development.Front. Physiol.12:787848. 10.3389/fphys.2021.787848

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 62

  Duvallet C. Gibbons S. M. Gurry T. Irizarry R. A. Alm E. J. (2017). Meta-analysis of gut microbiome studies identifies disease-specific and shared responses.Nat. Commun.81–10. 10.1038/s41467-017-01973-8

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 63

  Dyall S. C. Michael G. J. Whelpton R. Scott A. G. Michael-Titus A. T. (2007). Dietary enrichment with omega-3 polyunsaturated fatty acids reverses age-related decreases in the GluR2 and NR2B glutamate receptor subunits in rat forebrain.Neurobiol. Aging28424–439. 10.1016/j.neurobiolaging.2006.01.002

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 64

  Ellwardt E. Walsh J. T. Kipnis J. Zipp F. (2016). Understanding the role of T cells in CNS homeostasis.Trends Immunol.37154–165. 10.1016/j.it.2015.12.008

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 65

  Engelhardt B. Carare R. O. Bechmann I. Laman J. D. Weller R. O. (2016). Vascular, glial, and lymphatic immune gateways of the central nervous system.Acta Neuropathol.132317–338. 10.1007/s00401-016-1606-5

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 66

  Erny D. Hrabe De Angelis A. L. Jaitin D. Wieghofer P. Staszewski O. David E. (2015). Host microbiota constantly control maturation and function of microglia in the CNS.Nat. Neurosci.18965–977. 10.1038/nn.4030

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 67

  Essmat N. Karadi D. A. Zador F. Kiraly K. Furst S. Al-Khrasani M. (2023). Insights into the current and possible future use of opioid antagonists in relation to opioid-induced constipation and dysbiosis.Molecules28:7766. 10.3390/molecules28237766

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 68

  Feng Y. Zhou Z. Zheng C. Feng F. Xie F. Wu Z. (2021). Interleukin 17-producing′ T-cell induced demyelination of the brain in angiostrongylus cantonensis infection.Mol. Neurobiol.583968–3982. 10.1007/s12035-021-02366-1

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 69

  Fond G. Boukouaci W. Chevalier G. Regnault A. Eberl G. Hamdani N. et al (2015). The “psychomicrobiotic”: Targeting microbiota in major psychiatric disorders: A systematic review.Pathol. Biol.6335–42. 10.1016/j.patbio.2014.10.003

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 70

  Forslund K. Hildebrand F. Nielsen T. Falony G. Le Chatelier E. Sunagawa S. et al (2015). Disentangling type 2 diabetes and metformin treatment signatures in the human gut microbiota.Nature528262–266.

  • Google Scholar

• 71

  Fröhlich E. E. Farzi A. Mayerhofer R. Reichmann F. Jačan A. Wagner B. et al (2016). Cognitive impairment by antibiotic-induced gut dysbiosis: Analysis of gut microbiota-brain communication.Brain Behav. Immun.56140–155. 10.1016/j.bbi.2016.02.020

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 72

  Furman D. Campisi J. Verdin E. Carrera-Bastos P. Targ S. Franceschi C. et al (2019). Chronic inflammation in the etiology of disease across the life span.Nat. Med.251822–1832.

  • Google Scholar

• 73

  Gao K. Mu C. L. Farzi A. Zhu W. Y. (2020). Tryptophan metabolism: A link between the gut microbiota and brain.Adv. Nutr.11709–723.

  • Google Scholar

• 74

  Garcia-Duran C. Martinez-Lopez R. Zapico I. Perez E. Romeu E. Arroyo J. et al (2021). Distinct human gut microbial taxonomic signatures uncovered with different sample processing and microbial cell disruption methods for metaproteomic analysis.Front. Microbiol.12:618566. 10.3389/fmicb.2021.618566

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 75

  Garg K. Mohajeri M. H. (2024). Potential effects of the most prescribed drugs on the microbiota-gut-brain-axis: A review.Brain Res. Bull.207:110883.

  • Google Scholar

• 76

  Gehrig J. L. Venkatesh S. Chang H. W. Hibberd M. C. Kung V. L. Cheng J. et al (2019). Effects of microbiota-directed foods in gnotobiotic animals and undernourished children.Science365:eaau4732.

  • Google Scholar

• 77

  Gohir W. Ratcliffe E. M. Sloboda D. M. (2015). Of the bugs that shape us: Maternal obesity, the gut microbiome, and long-term disease risk.Pediatr. Res.77196–204. 10.1038/pr.2014.169

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 78

  Gomez-Arango L. F. Barrett H. L. Mcintyre H. D. Callaway L. K. Morrison M. Nitert M. D. (2017). Contributions of the maternal oral and gut microbiome to placental microbial colonization in overweight and obese pregnant women.Sci. Rep.7:2860. 10.1038/s41598-017-03066-4

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 79

  Gómez-Vilarrubla A. Mas-Parés B. Díaz M. Xargay-Torrent S. Carreras-Badosa G. Jové M. et al (2021). Fatty acids in the placenta of appropiate- versus small-for-gestational-age infants at term birth.Placenta1094–10. 10.1016/j.placenta.2021.04.009

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 80

  Haarmann A. Schuhmann M. K. Silwedel C. Monoranu C. M. Stoll G. Buttmann M. (2019). Human brain endothelial CXCR2 is inflammation-inducible and mediates CXCL5- and CXCL8-triggered paraendothelial barrier breakdown.Int. J. Mol. Sci.20:602. 10.3390/ijms20030602

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 81

  Hadi A. Sepandi M. Marx W. Moradi S. Parastouei K. (2019). Clinical and psychological responses to synbiotic supplementation in obese or overweight adults: A randomized clinical trial.Complement. Ther. Med.47:102216.

  • Google Scholar

• 82

  Haghighat N. Rajabi S. Mohammadshahi M. (2021). Effect of synbiotic and probiotic supplementation on serum brain-derived neurotrophic factor level, depression and anxiety symptoms in hemodialysis patients: A randomized, double-blinded, clinical trial.Nutr. Neurosci.24490–499. 10.1080/1028415X.2019.1646975

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 83

  Hamad A. F. Alessi-Severini S. Mahmud S. M. Brownell M. Kuo I. F. (2019). Prenatal antibiotics exposure and the risk of autism spectrum disorders: A population-based cohort study.PLoS One14:e0221921.

  • Google Scholar

• 84

  Harris K. Kassis A. Major G. Chou C. J. (2012). Is the gut microbiota a new factor contributing to obesity and its metabolic disorders?J. Obes.2012:879151.

  • Google Scholar

• 85

  Hoban A. E. Stilling R. M. Ryan F. J. Shanahan F. Dinan T. G. Claesson M. J. et al (2016). Regulation of prefrontal cortex myelination by the microbiota.Transl. Psychiatry6:e774.

  • Google Scholar

• 86

  Holzer P. Farzi A. Hassan A. M. Zenz G. Jacan A. Reichmann F. (2017). Visceral inflammation and immune activation stress the brain.Front. Immunol.8:1613.

  • Google Scholar

• 87

  Horn R. Robson H. G. (2001). Susceptibility of the Bacteroides fragilis group to newer quinolones and other standard anti-anaerobic agents.J. Antimicrob. Chemother.48127–130. 10.1093/jac/48.1.127

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 88

  Huang R. Wang K. Hu J. (2016). Effect of probiotics on depression: A systematic review and meta-analysis of randomized controlled trials.Nutrients8:483.

  • Google Scholar

• 89

  Huppert J. Closhen D. Croxford A. White R. Kulig P. Pietrowski E. et al (2010). Cellular mechanisms of IL-17-induced blood-brain barrier disruption.FASEB J.241023–1034.

  • Google Scholar

• 90

  Indrio F. Martini S. Francavilla R. Corvaglia L. Cristofori F. Mastrolia S. A. et al (2017). Epigenetic matters: The link between early nutrition, microbiome, and long-term health development.Front. Pediatr.5:178. 10.3389/fped.2017.00178

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 91

  Jackson M. A. Goodrich J. K. Maxan M. E. Freedberg D. E. Abrams J. A. Poole A. C. et al (2016). Proton pump inhibitors alter the composition of the gut microbiota.Gut65749–756.

  • Google Scholar

• 92

  Jakobsson T. Forsum U. (2007). Lactobacillus iners: A marker of changes in the vaginal flora?J. Clin. Microbiol.45:3145. 10.1128/JCM.00558-07

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 93

  Janak P. H. Tye K. M. (2015). From circuits to behaviour in the amygdala.Nature517284–292.

  • Google Scholar

• 94

  Jasarevic E. Howard C. D. Morrison K. Misic A. Weinkopff T. Scott P. et al (2018). The maternal vaginal microbiome partially mediates the effects of prenatal stress on offspring gut and hypothalamus.Nat. Neurosci.211061–1071. 10.1038/s41593-018-0182-5

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 95

  Jasarevic E. Howerton C. L. Howard C. D. Bale T. L. (2015). Alterations in the vaginal microbiome by maternal stress are associated with metabolic reprogramming of the offspring gut and brain.Endocrinology1563265–3276. 10.1210/en.2015-1177

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 96

  Jenkins T. A. Nguyen J. C. D. Polglaze K. E. Bertrand P. P. (2016). Influence of tryptophan and serotonin on mood and cognition with a possible role of the gut-brain axis.Nutrients8:56. 10.3390/nu8010056

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 97

  Jiang C. Li G. Huang P. Liu Z. Zhao B. (2017). The gut microbiota and Alzheimer’s disease.J. Alzheimers Dis.581–15.

  • Google Scholar

• 98

  Jiang H. Ling Z. Zhang Y. Mao H. Ma Z. Yin Y. et al (2015). Altered fecal microbiota composition in patients with major depressive disorder.Brain Behav. Immun.48186–194.

  • Google Scholar

• 99

  Jin J. Jin Q. Wang X. Akoh C. C. (2020). High Sn-2 docosahexaenoic acid lipids for brain benefits, and their enzymatic syntheses: A review.Engineering6424–431.

  • Google Scholar

• 100

  Johnsen G. M. Weedon-Fekjaer M. S. Tobin K. R. Staff A. C. Duttaroy A. K. (2009). Long-chain polyunsaturated fatty acids stimulate cellular fatty acid uptake in human placental choriocarcinoma (BeWo) cells.Placenta301037–1044.

  • Google Scholar

• 101

  Kanoh S. Rubin B. K. (2010). Mechanisms of action and clinical application of macrolides as immunomodulatory medications.Clin. Microbiol. Rev.23590–615.

  • Google Scholar

• 102

  Katakura M. Hashimoto M. Shahdat H. M. Gamoh S. Okui T. Matsuzaki K. et al (2009). Docosahexaenoic acid promotes neuronal differentiation by regulating basic helix–loop–helix transcription factors and cell cycle in neural stem cells.Neuroscience160651–660. 10.1016/j.neuroscience.2009.02.057

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 103

  Kazemi A. Noorbala A. A. Azam K. Eskandari M. H. Djafarian K. (2019). Effect of probiotic and prebiotic vs placebo on psychological outcomes in patients with major depressive disorder: A randomized clinical trial.Clin. Nutr.38522–528. 10.1016/j.clnu.2018.04.010

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 104

  Kelly J. R. Clarke G. Cryan J. F. Dinan T. G. (2016). Brain-gut-microbiota axis: Challenges for translation in psychiatry.Ann. Epidemiol.26366–372. 10.1016/j.annepidem.2016.02.008

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 105

  Kelly J. R. Minuto C. Cryan J. F. Clarke G. Dinan T. G. (2017). Cross talk: The microbiota and neurodevelopmental disorders.Front. Neurosci.11:490.

  • Google Scholar

• 106

  Kennedy P. J. Cryan J. F. Dinan T. G. Clarke G. (2017). Kynurenine pathway metabolism and the microbiota-gut-brain axis.Neuropharmacology112399–412. 10.1016/j.neuropharm.2016.07.002

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 107

  Keunen K. Van Elburg R. M. Van Bel F. Benders M. J. (2015). Impact of nutrition on brain development and its neuroprotective implications following preterm birth.Pediatr. Res.77148–155. 10.1038/pr.2014.171

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 108

  Khan T. J. Ahmed Y. M. Zamzami M. A. Siddiqui A. M. Khan I. Mehanna M. G. et al (2018). Atorvastatin treatment modulates the gut microbiota of the hypercholesterolemic patients.OMICS22154–163. 10.1089/omi.2017.0130

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 109

  Kim H. Y. Spector A. A. (2018). N-Docosahexaenoylethanolamine: A neurotrophic and neuroprotective metabolite of docosahexaenoic acid.Mol. Aspects Med.6434–44.

  • Google Scholar

• 110

  Kim S. Jazwinski S. M. (2018). The gut microbiota and healthy aging: A mini-review.Gerontology64513–520.

  • Google Scholar

• 111

  Kim S. Kim H. Yim Y. S. Ha S. Atarashi K. Tan T. G. et al (2017). Maternal gut bacteria promote neurodevelopmental abnormalities in mouse offspring.Nature549528–532.

  • Google Scholar

• 112

  Kimura I. Miyamoto J. Ohue-Kitano R. Watanabe K. Yamada T. Onuki M. (2020). Maternal gut microbiota in pregnancy influences offspring metabolic phenotype in mice.Science367:eaaw8429.

  • Google Scholar

• 113

  Kitajka K. Sinclair A. J. Weisinger R. S. Weisinger H. S. Mathai M. Jayasooriya A. P. et al (2004). Effects of dietary omega-3 polyunsaturated fatty acids on brain gene expression.Proc. Natl. Acad. Sci. U.S.A.10110931–10936.

  • Google Scholar

• 114

  Knight R. Vrbanac A. Taylor B. C. Aksenov A. Callewaert C. Debelius J. et al (2018). Best practices for analysing microbiomes.Nat. Rev. Microbiol.16410–422. 10.1038/s41579-018-0029-9

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 115

  Krol A. Feng G. (2018). Windows of opportunity: Timing in neurodevelopmental disorders.Curr. Opin. Neurobiol.4859–63.

  • Google Scholar

• 116

  Lagadinou M. Onisor M. O. Rigas A. Musetescu D. V. Gkentzi D. Assimakopoulos S. F. et al (2020). Antimicrobial properties on non-antibiotic drugs in the era of increased bacterial resistance.Antibiotics (Basel)9:107.

  • Google Scholar

• 117

  Ledoux J. (2007). The amygdala.Curr. Biol.17R868–R874.

  • Google Scholar

• 118

  Lense M. D. Ladanyi E. Rabinowitch T. C. Trainor L. Gordon R. (2021). Rhythm and timing as vulnerabilities in neurodevelopmental disorders.Philos. Trans. R. Soc. Lond. B Biol. Sci.376:20200327.

  • Google Scholar

• 119

  Li M. Wang M. Donovan S. M. (2014). Early development of the gut microbiome and immune-mediated childhood disorders.Semin. Reprod. Med.3274–86.

  • Google Scholar

• 120

  Lin Z. Sur S. Liu P. Li Y. Jiang D. Hou X. et al (2021). Blood-brain barrier breakdown in relationship to Alzheimer and vascular disease.Ann. Neurol.90227–238.

  • Google Scholar

• 121

  Liu L. Huh J. R. Shah K. (2022). Microbiota and the gut-brain-axis: Implications for new therapeutic design in the CNS.EBioMedicine77:103908.

  • Google Scholar

• 122

  Loh J. S. Mak W. Q. Tan L. K. S. Ng C. X. Chan H. H. Yeow S. H. et al (2024). Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases.Signal Trans. Targeted Ther.9:37.

  • Google Scholar

• 123

  Lu J. Synowiec S. Lu L. Yu Y. Bretherick T. Takada S. et al (2018). Microbiota influence the development of the brain and behaviors in C57BL/6J mice.PLoS One13:e0201829.

  • Google Scholar

• 124

  Luczynski P. Mcvey Neufeld K. A. Oriach C. S. Clarke G. Dinan T. G. Cryan J. F. (2016a). Growing up in a bubble: Using germ-free animals to assess the influence of the gut microbiota on brain and behavior.Int. J. Neuropsychopharmacol.19:pyw020. 10.1093/ijnp/pyw020

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 125

  Luczynski P. Whelan S. O. O’sullivan C. Clarke G. Shanahan F. Dinan T. G. et al (2016b). Adult microbiota-deficient mice have distinct dendritic morphological changes: Differential effects in the amygdala and hippocampus.Eur. J. Neurosci.442654–2666. 10.1111/ejn.13291

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 126

  Machate D. J. Figueiredo P. S. Marcelino G. Guimaraes R. C. A. Hiane P. A. Bogo D. et al (2020). Fatty acid diets: Regulation of gut microbiota composition and obesity and its related metabolic dysbiosis.Int. J. Mol. Sci.21:4093.

  • Google Scholar

• 127

  Mallick R. Basak S. Duttaroy A. K. (2019). Docosahexaenoic acid,22:6n-3: Its roles in the structure and function of the brain.Int. J. Dev. Neurosci.7921–31.

  • Google Scholar

• 128

  Mark K. S. Miller D. W. (1999). Increased permeability of primary cultured brain microvessel endothelial cell monolayers following TNF-alpha exposure.Life Sci.641941–1953.

  • Google Scholar

• 129

  Maseda D. Ricciotti E. (2020). NSAID-gut microbiota interactions.Front. Pharmacol.11:1153. 10.3389/fphar.2020.01153

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 130

  Maseda D. Zackular J. P. Trindade B. Kirk L. Roxas J. L. Rogers L. M. et al (2019). Nonsteroidal Anti-inflammatory drugs alter the microbiota and exacerbate Clostridium difficile colitis while dysregulating the inflammatory response.mBio10:e02282-18. 10.1128/mBio.02282-18

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 131

  Mayassi T. Ladell K. Gudjonson H. Mclaren J. E. Shaw D. G. Tran M. T. et al (2019). Chronic inflammation permanently reshapes tissue-resident immunity in celiac disease.Cell176967–981 e919. 10.1016/j.cell.2018.12.039

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 132

  Menni C. Zierer J. Pallister T. Jackson M. A. Long T. Mohney R. P. et al (2017). Omega-3 fatty acids correlate with gut microbiome diversity and production of N-carbamylglutamate in middle aged and elderly women.Sci. Rep.7:11079. 10.1038/s41598-017-10382-2

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 133

  Mittal R. Debs L. H. Patel A. P. Nguyen D. Patel K. O’Connor G. et al (2017). Neurotransmitters: The critical modulators regulating gut-brain axis.J. Cell. Physiol.2322359–2372. 10.1002/jcp.25518

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 134

  Mohammadi A. A. Jazayeri S. Khosravi-Darani K. Solati Z. Mohammadpour N. Asemi Z. et al (2016). The effects of probiotics on mental health and hypothalamic-pituitary-adrenal axis: A randomized, double-blind, placebo-controlled trial in petrochemical workers.Nutr. Neurosci.19387–395.

  • Google Scholar

• 135

  Moludi J. Khedmatgozar H. Nachvak S. M. Abdollahzad H. Moradinazar M. Sadeghpour Tabaei A. (2022). The effects of co-administration of probiotics and prebiotics on chronic inflammation, and depression symptoms in patients with coronary artery diseases: A randomized clinical trial.Nutr. Neurosci.251659–1668. 10.1080/1028415X.2021.1889451

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 136

  Montagne A. Huuskonen M. T. Rajagopal G. Sweeney M. D. Nation D. A. Sepehrband F. et al (2019). Undetectable gadolinium brain retention in individuals with an age-dependent blood-brain barrier breakdown in the hippocampus and mild cognitive impairment.Alzheimers Dement.151568–1575. 10.1016/j.jalz.2019.07.012

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 137

  Mou Y. Du Y. Zhou L. Yue J. Hu X. Liu Y. et al (2022). Gut microbiota interact with the brain through systemic chronic inflammation: Implications on neuroinflammation, neurodegeneration, and aging.Front. Immunol.13796288. 10.3389/fimmu.2022.796288

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 138

  Mu C. Yang Y. Zhu W. (2016). Gut microbiota: The brain peacekeeper.Front. Microbiol.7:345. 10.3389/fmicb.2016.00345

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 139

  Mueller N. T. Differding M. K. Zhang M. Maruthur N. M. Juraschek S. P. Miller E. R. III et al (2021). Metformin affects gut microbiome composition and function and circulating short-chain fatty acids: A randomized trial.Diab. Care441462–1471. 10.2337/dc20-2257

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 140

  Muhammad F. Fan B. Wang R. Ren J. Jia S. Wang L. et al (2022). The molecular gut-brain axis in early brain development.Int. J. Mol. Sci.23:15389.

  • Google Scholar

• 141

  Myles I. A. Fontecilla N. M. Janelsins B. M. Vithayathil P. J. Segre J. A. Datta S. K. (2013). Parental dietary fat intake alters offspring microbiome and immunity.J. Immunol.1913200–3209.

  • Google Scholar

• 142

  Nagyoszi P. Wilhelm I. Farkas A. E. Fazakas C. Dung N. T. Hasko J. et al (2010). Expression and regulation of toll-like receptors in cerebral endothelial cells.Neurochem. Int.57556–564.

  • Google Scholar

• 143

  Naito Y. Kashiwagi K. Takagi T. Andoh A. Inoue R. (2018). Intestinal dysbiosis secondary to proton-pump inhibitor use.Digestion97195–204.

  • Google Scholar

• 144

  Naseribafrouei A. Hestad K. Avershina E. Sekelja M. Linlokken A. Wilson R. et al (2014). Correlation between the human fecal microbiota and depression.Neurogastroenterol. Motil.261155–1162.

  • Google Scholar

• 145

  Neufeld K. M. Kang N. Bienenstock J. Foster J. A. (2011). Reduced anxiety-like behavior and central neurochemical change in germ-free mice.Neurogastroenterol. Motil.23255–264 e119. 10.1111/j.1365-2982.2010.01620.x

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 146

  Neuman H. Forsythe P. Uzan A. Avni O. Koren O. (2018). Antibiotics in early life: Dysbiosis and the damage done.FEMS Microbiol. Rev.42489–499.

  • Google Scholar

• 147

  Ogbonnaya E. S. Clarke G. Shanahan F. Dinan T. G. Cryan J. F. O’leary O. F. (2015). Adult hippocampal neurogenesis is regulated by the microbiome.Biol. Psychiatry78e7–e9.

  • Google Scholar

• 148

  Ohman L. Dahlen R. Isaksson S. Sjoling A. Wick M. J. Sjovall H. et al (2013). Serum IL-17A in newly diagnosed treatment-naive patients with ulcerative colitis reflects clinical disease severity and predicts the course of disease.Inflamm. Bowel Dis.192433–2439. 10.1097/MIB.0b013e3182a563cb

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 149

  O’Keefe S. J. D. (2016). Diet, microorganisms and their metabolites, and colon cancer.Nat. Rev. Gastroenterol. Hepatol.13691–706. 10.1038/nrgastro.2016.165

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 150

  O’mahony S. M. Felice V. D. Nally K. Savignac H. M. Claesson M. J. Scully P. et al (2014). Disturbance of the gut microbiota in early-life selectively affects visceral pain in adulthood without impacting cognitive or anxiety-related behaviors in male rats.Neuroscience277885–901.

  • Google Scholar

• 151

  O’riordan K. J. Collins M. K. Moloney G. M. Knox E. G. Aburto M. R. Fülling C. et al (2022). Short chain fatty acids: Microbial metabolites for gut-brain axis signalling.Mol. Cell Endocrinol.546:111572.

  • Google Scholar

• 152

  Park J. Kim C. H. (2021). Regulation of common neurological disorders by gut microbial metabolites.Exp. Mol. Med.531821–1833.

  • Google Scholar

• 153

  Pauwels I. Versporten A. Drapier N. Vlieghe E. Goossens H. Global P. P. S. N. (2021). Hospital antibiotic prescribing patterns in adult patients according to the WHO Access, Watch and Reserve classification (AWaRe): Results from a worldwide point prevalence survey in 69 countries.J. Antimicrob. Chemother.761614–1624. 10.1093/jac/dkab050

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 154

  Pirbaglou M. Katz J. de Souza R. J. Stearns J. C. Motamed M. Ritvo P. (2016). Probiotic supplementation can positively affect anxiety and depressive symptoms: A systematic review of randomized controlled trials.Nutr. Res.36889–898. 10.1016/j.nutres.2016.06.009

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 155

  Rao M. Gershon M. D. (2018). Enteric nervous system development: What could possibly go wrong?Nat. Rev. Neurosci.19552–565. 10.1038/s41583-018-0041-0

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 156

  Raygan F. Ostadmohammadi V. Bahmani F. Asemi Z. (2018). The effects of vitamin D and probiotic co-supplementation on mental health parameters and metabolic status in type 2 diabetic patients with coronary heart disease: A randomized, double-blind, placebo-controlled trial.Prog. Neuropsychopharmacol. Biol. Psychiatry8450–55. 10.1016/j.pnpbp.2018.02.007

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 157

  Rhee S. H. Pothoulakis C. Mayer E. A. (2009). Principles and clinical implications of the brainngut enteric microbiota axis.Nat. Rev. Gastroenterol. Hepatol.6306–314. 10.1038/nrgastro.2009.35

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 158

  Rincel M. Darnaudery M. (2020). Maternal separation in rodents: A journey from gut to brain and nutritional perspectives.Proc. Nutr. Soc.79113–132. 10.1017/S0029665119000958

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 159

  Rinninella E. Raoul P. Cintoni M. Franceschi F. Miggiano G. D. Gasbarrini A. et al (2019). What is the healthy gut microbiota composition? A changing ecosystem across age, environment, diet, and diseases.Microorganisms7:14.

  • Google Scholar

• 160

  Rogers G. B. Keating D. J. Young R. L. Wong M. L. Licinio J. Wesselingh S. (2016). From gut dysbiosis to altered brain function and mental illness: Mechanisms and pathways.Mol. Psychiatry21738–748.

  • Google Scholar

• 161

  Rogers M. M. Aronoff D. M. (2016). The influence of non-steroidal anti-inflammatory drugs on the gut microbiome.Clin. Microbiol. Infect.22178 e171–178 e179.

  • Google Scholar

• 162

  Roubaud-Baudron C. Ruiz V. E. Swan A. M. Jr. Vallance B. A. Ozkul C. Pei Z. et al (2019). Long-term effects of early-life antibiotic exposure on resistance to subsequent bacterial infection.mBio10e2820–e2819.

  • Google Scholar

• 163

  Rutsch A. Kantsjo J. B. Ronchi F. (2020). The gut-brain axis: How microbiota and host inflammasome influence brain physiology and pathology.Front. Immunol.11:604179. 10.3389/fimmu.2020.604179

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 164

  Sampei S. Okada H. Tomita H. Takada C. Suzuki K. Kinoshita T. et al (2021). Endothelial glycocalyx disorders may be associated with extended inflammation during endotoxemia in a diabetic mouse Model.Front. Cell Dev. Biol.9:623582. 10.3389/fcell.2021.623582

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 165

  Sampson T. R. Mazmanian S. K. (2015). Control of brain development, function, and behavior by the microbiome.Cell Host Microbe17565–576.

  • Google Scholar

• 166

  Sampson T. R. Debelius J. W. Thron T. Janssen S. Shastri G. G. Ilhan Z. E. et al (2016). Gut microbiota regulate motor deficits and neuroinflammation in a model of Parkinson’s disease.Cell1671469–1480 e1412. 10.1016/j.cell.2016.11.018

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 167

  Sánchez-Campillo M. Ruiz-Palacios M. Ruiz-Alcaraz A. J. Prieto-Sánchez M. T. Blanco-Carnero J. E. Zornoza M. et al (2020). Child head circumference and placental MFSD2a expression are associated to the level of MFSD2a in maternal blood during pregnancy.Front. Endocrinol.111–11. 10.3389/fendo.2020.00038

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 168

  Sanchorawala V. Palladini G. Kukreti V. Zonder J. A. Cohen A. D. Seldin D. C. et al (2017). A phase 1/2 study of the oral proteasome inhibitor ixazomib in relapsed or refractory AL amyloidosis.Blood130597–605.

  • Google Scholar

• 169

  Savignac H. M. Dinan T. G. Cryan J. F. (2011). Resistance to early-life stress in mice: Effects of geneticbackground and stress duration.Front. Behav. Neurosci.5:13. 10.3389/fnbeh.2011.00013

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 170

  Schumann C. M. Amaral D. G. (2006). Stereological analysis of amygdala neuron number in autism.J. Neurosci.267674–7679.

  • Google Scholar

• 171

  Senatorov V. V. Jr. Friedman A. R. Milikovsky D. Z. Ofer J. Saar-Ashkenazy R. Charbash A. et al (2019). Blood-brain barrier dysfunction in aging induces hyperactivation of TGFbeta signaling and chronic yet reversible neural dysfunction.Sci. Transl. Med.11:eaaw8283. 10.1126/scitranslmed.aaw8283

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 172

  Shale M. Schiering C. Powrie F. (2013). CD4(+) T-cell subsets in intestinal inflammation.Immunol. Rev.252164–182.

  • Google Scholar

• 173

  Sharon G. Sampson T. R. Geschwind D. H. Mazmanian S. K. (2016). The central nervous system and the gut microbiome.Cell167915–932.

  • Google Scholar

• 174

  Shin Yim Y. Park A. Berrios J. Lafourcade M. Pascual L. M. Soares N. et al (2017). Reversing behavioural abnormalities in mice exposed to maternal inflammation.Nature549482–487. 10.1038/nature23909

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 175

  Silva Y. P. Bernardi A. Frozza R. L. (2020). The role of short-chain fatty acids from gut microbiota in gut-brain communication.Front. Endocrinol. (Lausanne)11:25.

  • Google Scholar

• 176

  Sirisinha S. (2016). The potential impact of gut microbiota on your health: Current status and future challenges.Asian Pac. J. Allergy Immunol.34249–264. 10.12932/AP0803

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 177

  Skonieczna Zydecka K. Marlicz W. Misera A. Koulaouzidis A. Aoniewski I. (2018). Microbiome the missing link in the gut-brain axis: Focus on its role in gastrointestinal and mental health.J. Clin. Med.7:521. 10.3390/jcm7120521

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 178

  Socala K. Doboszewska U. Szopa A. Serefko A. Wlodarczyk M. Zielinska A. et al (2021). The role of microbiota-gut-brain axis in neuropsychiatric and neurological disorders.Pharmacol. Res.172:105840.

  • Google Scholar

• 179

  Sokol H. Pigneur B. Watterlot L. Lakhdari O. Bermudez-Humaran L. G. Gratadoux J. J. et al (2008). Faecalibacterium prausnitzii is an anti-inflammatory commensal bacterium identified by gut microbiota analysis of Crohn disease patients.Proc. Natl. Acad. Sci. U.S.A.10516731–16736.

  • Google Scholar

• 180

  Sokol H. Seksik P. Furet J. P. Firmesse O. Nion-Larmurier I. Beaugerie L. et al (2009). Low counts of Faecalibacterium prausnitzii in colitis microbiota.Inflamm. Bowel. Dis.151183–1189.

  • Google Scholar

• 181

  Srinivas V. Varma S. Kona S. R. Ibrahim A. Duttaroy A. K. Basak S. (2023). Dietary omega-3 fatty acid deficiency from pre-pregnancy to lactation affects expression of genes involved in hippocampal neurogenesis of the offspring.Prostagl. Leukotrienes Essent. Fatty Acids191:102566. 10.1016/j.plefa.2023.102566

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 182

  Sudo N. Chida Y. Aiba Y. Sonoda J. Oyama N. Yu X. N. et al (2004). Postnatal microbial colonization programs the hypothalamic pituitary adrenal system for stress response in mice.J. Physiol.558263–275. 10.1113/jphysiol.2004.063388

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 183

  Surendar J. Aravindhan V. Rao M. M. Ganesan A. Mohan V. (2011). Decreased serum interleukin-17 and increased transforming growth factor-beta levels in subjects with metabolic syndrome (Chennai Urban Rural Epidemiology Study-95).Metabolism60586–590. 10.1016/j.metabol.2010.06.003

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 184

  Svensson E. Horvath-Puho E. Thomsen R. W. Djurhuus J. C. Pedersen L. Borghammer P. et al (2015). Vagotomy and subsequent risk of Parkinson’s disease.Ann Neurol78522–529.

  • Google Scholar

• 185

  Tang M. Zhang M. Wang L. Li H. Cai H. Dang R. et al (2018). Maternal dietary of n-3 polyunsaturated fatty acids affects the neurogenesis and neurochemical in female rat at weaning.Prostagl. Leukot Essent. Fatty Acids12811–20. 10.1016/j.plefa.2017.11.001

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 186

  Taylor A. M. Holscher H. D. (2020). A review of dietary and microbial connections to depression, anxiety, and stress.Nutr. Neurosci.23237–250.

  • Google Scholar

• 187

  Thevaranjan N. Puchta A. Schulz C. Naidoo A. Szamosi J. C. Verschoor C. P. et al (2017). Age-associated microbial dysbiosis promotes intestinal permeability, systemic inflammation, and macrophage dysfunction.Cell Host Microbe21455–466.e454.

  • Google Scholar

• 188

  Thielke K. H. Hoffmann-Moujahid A. Weisser C. Waldkirch E. Pabst R. Holtmeier W. et al (2003). Proliferating intestinal gamma/delta T cells recirculate rapidly and are a major source of the gamma/delta T cell pool in the peripheral blood.Eur. J. Immunol.331649–1656. 10.1002/eji.200323442

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 189

  Tochitani S. Ikeno T. Ito T. Sakurai A. Yamauchi T. Matsuzaki H. (2016). Administration of non-absorbable antibiotics to pregnant mice to perturb the maternal gut microbiota is associated with alterations in offspring behavior.PLoS One11:e0138293. 10.1371/journal.pone.0138293

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 190

  Tong X. Xu J. Lian F. Yu X. Zhao Y. Xu L. et al (2018). Structural alteration of gut microbiota during the amelioration of human type 2 diabetes with hyperlipidemia by metformin and a traditional chinese herbal formula: A multicenter, randomized, open label clinical trial.mBio9e2392–e2317. 10.1128/mBio.02392-17

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 191

  Tremlett H. Bauer K. C. Appel-Cresswell S. Finlay B. B. Waubant E. (2017). The gut microbiome in human neurological disease: A review.Ann. Neurol.81369–382.

  • Google Scholar

• 192

  Turnbaugh P. J. Ley R. E. Mahowald M. A. Magrini V. Mardis E. R. Gordon J. I. (2006). An obesity-associated gut microbiome with increased capacity for energy harvest.Nature4441027–1031.

  • Google Scholar

• 193

  Van Ameringen M. Turna J. Patterson B. Pipe A. Mao R. Q. Anglin R. et al (2019). The gut microbiome in psychiatry: A primer for clinicians.Depress Anxiety361004–1025.

  • Google Scholar

• 194

  Van Den Elsen L. W. J. Verhasselt V. (2021). Human milk drives the intimate interplay between gut immunity and adipose tissue for healthy growth.Front. Immunol.12:645415. 10.3389/fimmu.2021.645415

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 195

  Venkataraman R. Madempudi R. S. Neelamraju J. Ahire J. J. Vinay H. R. Lal A. et al (2021). Effect of multi-strain probiotic formulation on students facing examination stress: A double-blind, placebo-controlled study.Probiotics Antimicrob. Proteins1312–18. 10.1007/s12602-020-09681-4

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 196

  Vernocchi P. Del Chierico F. Putignani L. (2016). Gut microbiota profiling: Metabolomics based approach to unravel compounds affecting human health.Front. Microbiol.7:1144.

  • Google Scholar

• 197

  Vieira-Silva S. Falony G. Belda E. Nielsen T. Aron-Wisnewsky J. Chakaroun R. et al (2020). Statin therapy is associated with lower prevalence of gut microbiota dysbiosis.Nature581310–315. 10.1038/s41586-020-2269-x

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 198

  Vuong H. E. Pronovost G. N. Williams D. W. Coley E. J. L. Siegler E. L. Qiu A. et al (2020). The maternal microbiome modulates fetal neurodevelopment in mice.Nature586281–286.

  • Google Scholar

• 199

  Vuong H. E. Yano J. M. Fung T. C. Hsiao E. Y. (2017). The microbiome and host behavior.Annu. Rev. Neurosci.4021–49.

  • Google Scholar

• 200

  Waisman A. Hauptmann J. Regen T. (2015). The role of IL-17 in CNS diseases.Acta Neuropathol.129625–637.

  • Google Scholar

• 201

  Wan X. Eguchi A. Sakamoto A. Fujita Y. Yang Y. Qu Y. et al (2023). Impact of broad-spectrum antibiotics on the gut-microbiota-spleen-brain axis.Brain Behav. Immun. Health27:100573. 10.1016/j.bbih.2022.100573

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 202

  Warren A. Nyavor Y. Zarabian N. Mahoney A. Frame L. A. (2024). The microbiota-gut-brain-immune interface in the pathogenesis of neuroinflammatory diseases: A narrative review of the emerging literature.Front. Immunol.15:1365673. 10.3389/fimmu.2024.1365673

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 203

  Wauters L. Tito R. Y. Ceulemans M. Lambaerts M. Accarie A. Rymenans L. et al (2021). Duodenal dysbiosis and relation to the efficacy of proton pump inhibitors in functional dyspepsia.Int. J. Mol. Sci.22:13609. 10.3390/ijms222413609

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 204

  Wood J. D. Galligan J. J. (2004). Function of opioids in the enteric nervous system.Neurogastroenterol. Motilit.1617–28. 10.1111/j.1743-3150.2004.00554.x

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 205

  Wu H. Esteve E. Tremaroli V. Khan M. T. Caesar R. Manneras-Holm L. et al (2017). Metformin alters the gut microbiome of individuals with treatment-naive type 2 diabetes, contributing to the therapeutic effects of the drug.Nat. Med.23850–858. 10.1038/nm.4345

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 206

  Xu H. Li H. (2019). Acne, the skin microbiome, and antibiotic treatment.Am. J. Clin. Dermatol.20335–344.

  • Google Scholar

• 207

  Yacyshyn B. Meddings J. Sadowski D. Bowen-Yacyshyn M. B. (1996). Multiple sclerosis patients have peripheral blood CD45RO+ B cells and increased intestinal permeability.Dig. Dis. Sci.412493–2498. 10.1007/BF02100148

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 208

  Yang C. Qiao Z. Xu Z. Wang X. Deng Q. Chen W. et al (2021). Algal Oil rich in docosahexaenoic acid alleviates intestinal inflammation induced by antibiotics associated with the modulation of the gut microbiome and metabolome.J. Agric. Food Chem.699124–9136. 10.1021/acs.jafc.0c07323

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 209

  Yano J. M. Yu K. Donaldson G. P. Shastri G. G. Ann P. Ma L. et al (2015). Indigenous bacteria from the gut microbiota regulate host serotonin biosynthesis.Cells161264–276. 10.1016/j.cell.2015.02.047

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 210

  Zadori Z. S. Kiraly K. Al-Khrasani M. Gyires K. (2023). Interactions between NSAIDs, opioids and the gut microbiota - future perspectives in the management of inflammation and pain.Pharmacol. Ther.241:108327. 10.1016/j.pharmthera.2022.108327

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 211

  Zhang H. Chen Y. Wang Z. Xie G. Liu M. Yuan B. et al (2022). Implications of gut microbiota in neurodegenerative diseases.Front. Immunol.13:785644.

  • Google Scholar