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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">2235-2988</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2024.1379831</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cellular and Infection Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The impact of Sangju Qingjie Decoction on the pulmonary microbiota in the prevention and treatment of chronic obstructive pulmonary disease</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Liu</surname>
<given-names>Zheng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1773140"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Huang</surname>
<given-names>Ying</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hu</surname>
<given-names>Chao</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liu</surname>
<given-names>Xiang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Clinical Pharmacy, Xiangtan Center Hospital</institution>, <addr-line>Xiangtan, Hunan</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Pulmonary and Critial Care Medicine, Zhongshan Hospital of Traditional Chinese Medicine</institution>, <addr-line>Zhongshan, Guangdong</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Pulmonary and Critial Care Medicine, Xiangtan Center Hospital</institution>, <addr-line>Xiangtan, Hunan</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Gang Ye, Sichuan Agricultural University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Dan Yang, Yibin Vocational and Technical College, China</p>
<p>Jianan Zhao, Shanghai Guanghua Rheumatology Hospital, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Xiang Liu, <email xlink:href="mailto:lcyx58214813@163.com">lcyx58214813@163.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>30</day>
<month>04</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>14</volume>
<elocation-id>1379831</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>01</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>03</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Liu, Huang, Hu and Liu</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Liu, Huang, Hu and Liu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Objective</title>
<p>Exploring the effect of SJQJD on the pulmonary microbiota of chronic obstructive pulmonary disease (COPD) rats through 16S ribosomal RNA (rRNA) sequencing.</p>
</sec>
<sec>
<title>Methods</title>
<p>A COPD rat model was constructed through smoking and lipopolysaccharide (LPS) stimulation, and the efficacy of SJQJD was evaluated by hematoxylin and eosin (H&amp;E) staining and Enzyme-Linked Immunosorbnent Assay (ELISA). The alveolar lavage fluid of rats was subjected to 16S rRNA sequencing. The diversity of lung microbiota composition and community structure was analyzed and differential microbiota were screened. Additionally, machine learning algorithms were used for screening biomarkers of each group of the microbiota.</p>
</sec>
<sec>
<title>Results</title>
<p>SJQJD could improve lung structure and inflammatory response in COPD rats. 16s rRNA sequencing analysis showed that SJQJD could significantly improve the abundance and diversity of bacterial communities in COPD rats. Through differential analysis and machine learning methods, potential microbial biomarkers were identified as <italic>Mycoplasmataceae</italic>, <italic>Bacillaceae</italic>, and <italic>Lachnospiraceae</italic>.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>SJQJD could improve tissue morphology and local inflammatory response in COPD rats, and its effect may be related to improve pulmonary microbiota.</p>
</sec>
</abstract>
<kwd-group>
<kwd>SJQJD</kwd>
<kwd>COPD</kwd>
<kwd>pulmonary microbiota</kwd>
<kwd>biomarker</kwd>
<kwd>machine learning</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="51"/>
<page-count count="10"/>
<word-count count="3983"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Intestinal Microbiome</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>COPD is a common respiratory disease in clinical practice, and its risk factors include advancing age, long-term smoke irritation, high incidence, and mortality, with continuous airflow restriction being the main pathological characteristic. Relevant statistics (<xref ref-type="bibr" rid="B9">Fang et&#xa0;al., 2018</xref>) show that there are approximately 100 million patients with COPD and increasing incidences of COPD in China. According to the World Health Organization, COPD may become the third leading cause of mortality worldwide by 2030 (<xref ref-type="bibr" rid="B17">Kim et&#xa0;al., 2021</xref>). Acute exacerbation of COPD (AECOPD) refers to a clinical event characterized by worsening of respiratory symptoms in patients with COPD, leading to changes in symptoms beyond the daily variation range and drug treatment regimens, which is critical for treating COPD disease. This results in reduced quality of life of patients, accelerated decline of lung function, and increased mortality rate of hospitalized patients (<xref ref-type="bibr" rid="B2">Baqdunes et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B5">Celli et&#xa0;al., 2021</xref>). Presently, there is no effective treatment for AECOPD; therefore, exploring effective prevention and treatment of COPD is one of the most urgent demands of the medical field worldwide.</p>
<p>The respiratory tract constantly exchanges gases with the environment; hence, it is also a system with bacterial colonization. Studies on respiratory microbiota remain in the initial stages. Reportedly, the pulmonary microbiota is closely related to the host&#x2019;s autoimmune function and participates in the regulation of the immune microenvironment (<xref ref-type="bibr" rid="B4">Cao et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B48">Wu et&#xa0;al., 2023</xref>). The lungs were presumed to be sterile in healthy individuals; however, owing to the continuous development of medical science and technology, 16S rRNA sequencing has revealed microbial communities detected in the lungs of healthy individuals (<xref ref-type="bibr" rid="B30">Ramsheh et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B49">Yagi et&#xa0;al., 2021</xref>). The human microbiome includes all forms of microorganisms and their genomes residing within the body of an individual at a specific time, such as in the gut and other mucosal surfaces including the skin, mouth, airways, and vagina (<xref ref-type="bibr" rid="B1">Anand and Mande, 2018</xref>, <xref ref-type="bibr" rid="B34">Shi et&#xa0;al., 2021</xref>). Ecological imbalance refers to any compositional changes in the microbiome compared with that of healthy individuals (<xref ref-type="bibr" rid="B34">Shi et&#xa0;al., 2021</xref>). The low diversity of microbial communities indicates ecological imbalance (<xref ref-type="bibr" rid="B41">Valdes et&#xa0;al., 2018</xref>), whereas high diversity is often associated with health and temporal stability (<xref ref-type="bibr" rid="B19">Leitao Filho et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B42">Vaughan et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B34">Shi et&#xa0;al., 2021</xref>).</p>
<p>SJQJD is a medicinal formulation composed of 30 g of <italic>mori cortex</italic>, 15 g of <italic>chrysanthemi indici flos</italic>, 40 g of <italic>semen benincasae</italic>, 20 g of <italic>trichosanthis pericarpium</italic>, 20 g of <italic>pheretima</italic>, 20 g of <italic>fritillariae cirrhosae bulbus</italic>, 50 g of <italic>phragmitis rhizoma</italic>, 150 g of <italic>plantaginis semen</italic>, 20 g of <italic>concretio silicea bambusae</italic>, and 10 g of <italic>glycyrrhizae radix et rhizoma</italic>. SJQJD exerts considerable clinical effects on patients with COPD presenting phlegm-heat obstructing lung (<xref ref-type="bibr" rid="B50">Yee et&#xa0;al., 2022</xref>); however, the specific mechanism underlying SJQJD-mediated treatment of COPD remains unclear. Herein, we constructed a COPD rat model and investigated the effects of SJQJD on the pulmonary microbiota of COPD rats through 16S rRNA sequencing. Modern pharmacology indicates that the extract of <italic>mori cortex</italic> has a regulatory effect on oxidative stress (<xref ref-type="bibr" rid="B51">Zhai et&#xa0;al., 2022</xref>), <italic>chrysanthemi indici flos, trichosanthis pericarpium, pheretima, fritillariae cirrhosae bulbus, phragmitis rhizoma</italic> all exhibit anti-inflammatory activity (<xref ref-type="bibr" rid="B29">Park et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B27">Liu et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B40">Tian et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B21">Li et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B25">Liu et&#xa0;al., 2024</xref>), <italic>plantaginis semen</italic> has the function of regulating lipid metabolism and immune response (<xref ref-type="bibr" rid="B38">Sun et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B31">Ren et&#xa0;al., 2021</xref>), <italic>glycyrrhizae radix et rhizoma</italic> has anti-inflammatory and detoxifying effects (<xref ref-type="bibr" rid="B22">Li et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B15">Jiang et&#xa0;al., 2022</xref>). These physiological processes are involved in various stages of physiological pathology. However, there is currently limited research by <italic>semen benincaae</italic> and <italic>concretio silicea bambusae</italic>.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>SJQJD preparation</title>
<p>SJQJD is an internal preparation of Zhongshan Traditional Chinese Medicine Hospital (specific lot number: Guangdong Medicine Preparation Z20071015). All traditional Chinese medicine decoction pieces are provided by the Chinese Pharmacy of Zhongshan Traditional Chinese Medicine Hospital, and identified as qualified authentic products by Deputy Chief Pharmacist He Jianhong. The abovementioned 10 herbs were soaked in water for 30 minutes, and the decoction treatment was performed twice for 1.5 hours. Both decoctions were combined, filtered, concentrated, and added with 200 g of sugar, 3 g of sodium benzoate, and 0.5 g of hydroxyethyl ester. The mixture was boiled and brought to a constant volume of 1 L. Following this, it was allowed to stand for 1 day, and the supernatant was isolated and packaged to complete the preparation.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Animal experiments</title>
<p>Experimental grouping: Specific pathogen free grade 10 week old Wistar male rats (250 &#xb1; 20), purchased from Spelford Beijing Biotechnology Co., Ltd. In total, 30 rats were randomly divided into the following five groups (n = 6): control, model, model + SJQJD (high-dose [H]: 1.2 g/mL), model + SJQJD (medium-dose [M]: 0.8 g/mL), and model + SJQJD (low-dose [L]: 0.6 g/mL) groups.</p>
<p>Animal model construction: Both cigarette smoke exposure and lipopolysaccharide (LPS) intratracheal instillation were used to establish the COPD model, as follows: (1) LPS intratracheal instillation: 0.2 mL of LPS solution (1 mg/mL) was instilled into the airway on the 1<sup>st</sup> and 14<sup>th</sup> day of modeling; and (2) smoking: from day 2 to 28, rats were transferred to a dedicated disinfection box and exposed to smoke daily (except for day 14), 10 cigarettes per time for 30 minutes, twice a day in the morning and afternoon.</p>
<p>Medication intervention: The control group was not subjected to LPS intratracheal instillation and smoking procedures and was administered 2.5 mL of physiological saline by gavage every day; the model group was administered 2.5 mL of physiological saline by gavage every day; the administration groups were orally administered 2.5 mL of SJQJD (H, M, and L) every day. The alveolar lavage fluids and lung tissues of rats were retrieved after administration for subsequent experiments.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>H&amp;E staining experiment</title>
<p>The retrieved lung tissues were fixed with 10% formaldehyde solution. Following this, the tissues were cut into 2-mm thick tissue blocks, which were then dehydrated using gradient ethanol, made transparent using xylene, and embedded in paraffin. Next, the tissue blocks were cut into 5-&#x3bc;m thick slices, stained with H&amp;E, and sealed with neutral gum. The morphology of the lung tissues was observed under a microscope and their photos were captured.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>ELISA testing</title>
<p>The alveolar lavage fluids of rats were centrifuged at 4&#xb0;C at 1800 r/min for 5 minutes, and the supernatants were collected for detection. Next, ELISA was performed to detect interleukin (IL)-6, IL-8, matrix metallopeptidase (MMP)-2, MMP-3, secretory immunoglobulin (sIg)A, and tumor necrosis factor (TNF)-&#x3b1; in the supernatant of the alveolar lavage fluid according to the instructions of the kit (JiangLai, China).</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>16S rRNA sequencing and bioinformatics analyses</title>
<p>The 16s rRNA sequencing was performed by Shenzhen Weikemeng Technology Group Co., Ltd. using the experimental alveolar lavage fluid, including DNA extraction, polymerase chain reaction-mediated amplification, and Illumina high-throughput sequencing. Bioinformatics analyses were performed using the Wekemo Bioincloud (<ext-link ext-link-type="uri" xlink:href="https://www.bioincloud.tech">https://www.bioincloud.tech</ext-link>). Operational taxonomic units (OTUs) were clustered with 97% consistency, and the sequences of OTUs were annotated with species to obtain the corresponding species information and species-based abundance distribution. Additionally, &#x3b1;-diversity analysis was performed utilizing the following evaluation indexes: Chao1 index for evaluating microbial abundance, and Shannon and Simpson indexes for evaluating microbial evenness and abundance. Furthermore, &#x3b2;-diversity was analyzed to compare the diversity among different ecosystems, and cluster analysis was performed on the sample distance matrix to construct a hierarchical visualization of differences among samples. Linear discriminant analysis effect size (LEfSe) analysis was performed to test the significance of differences in species composition and community structure of the grouped samples, further analyzing the microbiome composition of the two groups at the phylum and genus levels, and determining the species abundances with significant differences. Finally, the characteristic microbial communities of each group were screened using machine-learning methods.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Statistic analyses</title>
<p>The GraphPad Prism 9.0 software was used to process data and visualize the data. The comparison between two groups was conducted using t-test method, the comparison between three groups was conducted using one-way ANOVA test method, and the comparison between three groups that did not follow a normal distribution was conducted using Kruskal Wallis test. The <italic>P</italic>-value of &lt; 0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>SJQJD improves the lung tissue morphology in COPD rats</title>
<p>The tissue morphology of the control group was intact with no notable inflammatory cell infiltration (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>); however, that of the COPD model group was disordered, with considerable detectable inflammatory cell infiltration and epithelial goblet cell proliferation, indicating the successful establishment of the model. In the SJQJD-H group of rats, a few inflammatory cells were observed in the lung tissue, along with an enlargement of the alveolar spaces. The SJQJD-M group of rats showed reduced aggregation of inflammatory cells in the lung tissue, with some increase in the alveolar septa and inflammatory cell infiltration. The SJQJD-L group of rats demonstrated moderate interstitial inflammatory changes in the lung tissue, along with the widening of the alveolar septa and inflammatory cell infiltration.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>SJQJD improved COPD in rats.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-14-1379831-g001.tif"/>
</fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>SJQJD inhibited the release of inflammatory factors in COPD rats</title>
<p>ELISA was performed to detect the content of inflammatory factors in the alveolar lavage fluid. The results showed that compared with the control group, the levels of IL-6 (<italic>P</italic> &lt; 0.0001), IL-8 (<italic>P</italic> &lt; 0.0001), MMP-2 (<italic>P</italic> &lt; 0.0001), MMP-3 (<italic>P</italic> &lt; 0.0001), sIgA (<italic>P</italic> &lt; 0.0001), and TNF-&#x3b1; (<italic>P</italic> &lt; 0.0001) in the model group increased considerably, whereas SJQJD (H, M, and L) suppressed their increase in a concentration-dependent manner (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>SJQJD improved pulmonary inflammatory response. The level of <bold>(A)</bold> IL-6, <bold>(B)</bold> IL-8, <bold>(C)</bold> MMP-2, <bold>(D)</bold> MMP-3, <bold>(E)</bold> sIgA, and <bold>(F)</bold> TNF- &#x3b1; in rat alveolar lavage fluid. The data was displayed as the mean &#xb1; SD (n=6). # <italic>P</italic> &lt; 0.05, ## <italic>P</italic> &lt; 0.01, ### <italic>P</italic> &lt; 0.001, #### <italic>P</italic> &lt; 0.0001, * <italic>P</italic> &lt; 0.05, ** <italic>P</italic> &lt; 0.01, ***&#xa0;<italic>P</italic> &lt; 0.001, **** <italic>P</italic> &lt; 0.0001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-14-1379831-g002.tif"/>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Analysis of the effects of SJQJD on the pulmonary microbiota</title>
<p>The composition structures of the lung microbiota of each group of rats were analyzed at the phylum and genus levels through 16S RNA high-throughput sequencing to explore the effects of SJQJD. At the phylum level, the composition of <italic>Tenericutes</italic> notably increased in the model group and considerably decreased in the control and SJQJD groups. In contrast, the compositions of <italic>Proteobacteria, Actinobacteria, Unspecified_Bacteria</italic>, and <italic>Firmicutes</italic> considerably decreased in the model group and markedly increased in the control and SJQJD groups (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A, B</bold>
</xref>). At the genus level, the composition of <italic>Mycoplasmataceae</italic> considerably increased in the model group and markedly decreased in the control and SJQJD groups. In contrast, the composition of <italic>Streptomycetaceae, Enterobacteriaceae, Microbacteriaceae</italic>, and <italic>Bacillaceae</italic> markedly decreased in the model group and notably increased in the control and SJQJD groups (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3C, D</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Stacking diagram of the relative abundance of microbial communities. <bold>(A)</bold> The relative abundance of microbial communities at the phylum level in each sample. <bold>(B)</bold> The relative abundance of microbial communities at the phylum level in each group. <bold>(C)</bold> The relative abundance of microbial communities at the genus level in each sample. <bold>(D)</bold> The relative abundance of microbial communities at the genus level in each group.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-14-1379831-g003.tif"/>
</fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Analyses of &#x3b1;- and &#x3b2;-diversities</title>
<p>Compared with the control rats, the &#x3b1;-diversity indexes, namely Chao1 (<italic>P</italic> = 0.0397), Shannon (<italic>P</italic> = 0.0030), and Simpson (<italic>P</italic> = 0.0021) indexes, of COPD rats were markedly reduced (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4A&#x2013;C</bold>
</xref>), suggesting a decrease in both microbial abundance and diversity under COPD conditions. SJQJD reversed the decrease in the aforementioned three indexes, demonstrating its therapeutic effects on COPD rats. &#x3b2;-diversity distance measurements, performed to study the structural changes of the pulmonary microbiota among samples, showed notable differences in the microbial communities of control and COPD rats (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4D</bold>
</xref>). However, the SJQJD administration reversed this phenomenon.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>SJQJD improved the diversity of lung microbiota. <bold>(A)</bold> Chao1 index. <bold>(B)</bold> Shannon index. <bold>(C)</bold> Simpson index. <bold>(D)</bold> NMDS. * <italic>P</italic> &lt; 0.05, ** <italic>P</italic> &lt; 0.01.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-14-1379831-g004.tif"/>
</fig>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Analysis of dominant microbial communities in each group</title>
<p>The bacterial taxa with statistically significant differences among the groups were identified based on the Linear Discriminant Analysis (LDA) value, and the results were visualized by creating a LefSe cladogram (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>) and a histogram of LDA values (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>). <italic>Actinobacteria, Phyllobacteriaceae</italic>, and <italic>Alphaproteobacteria</italic> were the dominant bacterial taxa in the control group, whereas <italic>Mycoplasmatales, Mycoplasmataceae, Tenericutes</italic>, and <italic>Mollicutes</italic> were the dominant taxa in the model group. <italic>Proteobacteria, Gammaproteobacteria, Weeksellaceae</italic>, and others were characteristic taxa for the SJQJD group.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Analysis results of the dominant microbial communities in each group. <bold>(A)</bold> The branch diagram was obtained through LEfSe analysis. <bold>(B)</bold> LDA effect size analysis of major biomarker taxonomic groups.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-14-1379831-g005.tif"/>
</fig>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Analysis of species differences in the pulmonary microbiota</title>
<p>The differences in bacterial communities among groups were analyzed at different levels, such as the family level. The results suggest that compared with the control group, the composition of families <italic>Peptostreptococcaceae, Mycoplasmataceae, Rikenellaceae, Listeriaceae</italic>, and <italic>Ruminococcaceae</italic> considerably increased in the model group, whereas that of <italic>Chthoniobacteraceae, Streptomycetaceae</italic>, and <italic>Enterococcaceae</italic> markedly reduced (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6A, B</bold>
</xref>). Compared with the model group, the composition of families such as <italic>Bacillaceae, Nocardiaceae</italic>, and <italic>Micrococcaceae</italic> notably increased in the SJQJD group, whereas that of <italic>Listeriaceae, Clostridiaceae, Campylobacteraceae</italic>, and <italic>Mycoplasmataceae</italic> considerably reduced (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6A, C</bold>
</xref>). Notably, the abundance of the family <italic>Mycoplasmataceae</italic> (<italic>P</italic> = 0.0021) was considerably increased in the model group, whereas it remained low in both the control and SJQJD groups, suggesting its potential as a therapeutic marker (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6D</bold>
</xref>). Although there were no statistically significant differences in <italic>Bacillaceae</italic> abundance among the groups, we observed that this family was almost absent in the model group but exhibited high abundances in both the control and SJQJD groups, suggesting its possible protective role in the disease (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6E</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Analysis results of species differences in pulmonary microbiota. <bold>(A)</bold> Heatmap of differential microbial communities among groups. <bold>(B)</bold> Volcano diagram of Model vs. Control. <bold>(C)</bold> Volcano diagram of SJQJD vs. Model. <bold>(D)</bold> The abundance of <italic>Mycoplasmataceae</italic> in three groups. <bold>(E)</bold> The abundance of <italic>Bacillaceae</italic> in the three groups. ** <italic>P</italic> &lt; 0.01, ns, no significant.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-14-1379831-g006.tif"/>
</fig>
</sec>
<sec id="s3_7">
<label>3.7</label>
<title>Machine-learning method-based screening of biomarkers</title>
<p>The markers in the microbiota of each group were further screened through machine learning. The results show that characteristic microbes of the control group obtained using the random forest algorithm included <italic>Lachnospiraceae, Enterococcaceae</italic>, and <italic>Staphylococcaceae</italic>, whereas the model group featured <italic>Mycoplasmataceae, Pasteurellaceae</italic>, and <italic>Aeromonadaceae</italic>. The characteristic microbes of the SJQJD group included Nocardiaceae, Lachnospiraceae, and <italic>Burkholderiaceae</italic> (<xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7A, B</bold>
</xref>; <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Additionally, the characteristic microbes of the control group obtained using the support vector machine algorithm included <italic>Rhodobacteraceae, Lachnospiraceae</italic>, and <italic>Moraxellaceae</italic>; those of the model group included Campylobacteraceae and <italic>Moraxellaceae</italic>, and those of the SJQJD group included <italic>Lachnospiraceae, Burkholderiaceae</italic>, and <italic>Phyllobacteriaceae</italic> (<xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7C, D</bold>
</xref>; <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). By intersecting the results, we found the family <italic>Lachnospiraceae</italic> to be a common marker between the control and SJQJD groups (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7E</bold>
</xref>).</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Machine learning screening of microbial biomarkers. <bold>(A, B)</bold> The results of RF method screening for characteristic microbial communities. <bold>(C, D)</bold> The results of SVM method screening for characteristic microbial communities. <bold>(E)</bold> Intersection results of feature microbial communities selected by machine learning.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-14-1379831-g007.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Machine learning screening of characteristic microbial communities in each group.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Group</th>
<th valign="top" align="left">RF</th>
<th valign="top" align="left">SVM</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Control</td>
<td valign="top" align="left">
<italic>Lachnospiraceae</italic>
<break/>
<italic>Enterococcaceae</italic>
<break/>
<italic>Staphylococcaceae</italic>
<break/>
<italic>Sphingomonadaceae</italic>
<break/>
<italic>Porphyromonadaceae</italic>
<break/>
<italic>Weeksellaceae</italic>
<break/>
<italic>Pseudoalteromonadaceae</italic>
<break/>
<italic>Nocardiaceae</italic>
<break/>
<italic>Comamonadaceae</italic>
<break/>
<italic>Microbacteriaceae</italic>
<break/>
<italic>Flavobacteriaceae</italic>
<break/>
<italic>Rhodobacteraceae</italic>
</td>
<td valign="top" align="left">
<italic>Rhodobacteraceae</italic>
<break/>
<italic>Lachnospiraceae</italic>
<break/>
<italic>Moraxellaceae</italic>
<break/>
<italic>Staphylococcaceae</italic>
<break/>
<italic>Carnobacteriaceae</italic>
<break/>
<italic>Flavobacteriaceae</italic>
<break/>
<italic>Enterococcaceae</italic>
<break/>
<italic>Erysipelotrichaceae</italic>
<break/>
<italic>Ruminococcaceae</italic>
<break/>
<italic>Brucellaceae</italic>
<break/>
<italic>Bacteroidaceae</italic>
<break/>
<italic>Chthoniobacteraceae</italic>
<break/>
<italic>Sinobacteraceae</italic>
<break/>
<italic>Prevotellaceae</italic>
</td>
</tr>
<tr>
<td valign="top" align="left">Model</td>
<td valign="top" align="left">
<italic>Mycoplasmataceae</italic>
<break/>
<italic>Pasteurellaceae</italic>
<break/>
<italic>Aeromonadaceae</italic>
<break/>
<italic>Desulfovibrionaceae</italic>
<break/>
<italic>Shewanellaceae</italic>
</td>
<td valign="top" align="left">
<italic>Campylobacteraceae</italic>
<break/>
<italic>Moraxellaceae</italic>
</td>
</tr>
<tr>
<td valign="top" align="left">SJQJD</td>
<td valign="top" align="left">
<italic>Nocardiaceae</italic>
<break/>
<italic>Lachnospiraceae</italic>
<break/>
<italic>Burkholderiaceae</italic>
<break/>
<italic>Chitinophagaceae</italic>
<break/>
<italic>Pseudomonadaceae</italic>
<break/>
<italic>Comamonadaceae</italic>
<break/>
<italic>Phyllobacteriaceae</italic>
<break/>
<italic>Caulobacteraceae</italic>
<break/>
<italic>Sphingomonadaceae</italic>
<break/>
<italic>Chromatiaceae</italic>
<break/>
<italic>Microbacteriaceae</italic>
<break/>
<italic>Promicromonosporaceae</italic>
</td>
<td valign="top" align="left">
<italic>Lachnospiraceae</italic>
<break/>
<italic>Burkholderiaceae</italic>
<break/>
<italic>Phyllobacteriaceae</italic>
<break/>
<italic>Aurantimonadaceae</italic>
<break/>
<italic>unclassified</italic>
<break/>
<italic>Chitinophagaceae</italic>
<break/>
<italic>Nocardiaceae</italic>
</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>COPD is a chronic inflammatory disease characterized by persistent restriction of the small airways, and it often affects multiple systems. Studies predict that because of the increasing number of smokers and population aging, the annual COPD-associated mortality and number of patients may exceed 5.4 million (<xref ref-type="bibr" rid="B10">GBD 2017 Causes of Death Collaborators, 2018</xref>) by the 2060s. Acute exacerbation, leading to frequent medical visits, hospitalizations, and changes in medication regimens, is a major cause of mortality in patients with COPD (<xref ref-type="bibr" rid="B47">Wu et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B43">Vogelmeier et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B12">Hua et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B20">Li et&#xa0;al., 2021</xref>). Microbial cultures indicate that the lung microbiota is related to COPD pathogenesis (<xref ref-type="bibr" rid="B34">Shi et&#xa0;al., 2021</xref>), and the advances in metagenomic technologies have further validated this conclusion (<xref ref-type="bibr" rid="B16">Karakasidis et&#xa0;al., 2023</xref>).</p>
<p>SJQJD is a hospital-prepared medication formulation reviewed by the drug regulatory authority. Clinical studies have shown the good therapeutic effects of SJQJD when used in combination with Western medicine to treat phlegm-heat obstructed lung-type community-acquired pneumonia. Reportedly, the combined treatment of SJQJD with Western medicine for bronchiectasis can effectively improve the lung function, forced vital capacity (FVC), forced expiratory volume in the 1<sup>st</sup> second (FEV1), and FEV1/FVC levels of the patients, with a total effective rate of 97.50%, compared with 85.00% in the control group (<italic>P</italic> &lt; 0.05) (<xref ref-type="bibr" rid="B7">Dong et&#xa0;al., 2018</xref>). Additionally, clinical research on patients with phlegm-heat congested lung-type AECOPD has shown (<xref ref-type="bibr" rid="B13">Huang et&#xa0;al., 2021</xref>) that after treatment with SJQJD in combination with Western medicine, the T lymphocyte subgroup cluster of differentiation (CD)4<sup>+</sup> and the CD4<sup>+</sup>/CD8<sup>+</sup> ratio increased, compared with those before the treatment, and CD8<sup>+</sup> reduced, indicating the significantly better optimization in the combined treatment group than that in the Western medicine control group (<italic>P</italic> &lt; 0.05). This suggested that SJQJD might improve the immune function of patients, thereby enhancing their resistance. These findings imply that SJQJD may exert its therapeutic effect on COPD by altering the lung microenvironment and consequently modulating the lung microbiota.</p>
<p>Herein, a COPD rat model was constructed through a combined approach of cigarette smoke exposure and intratracheal LPS instillation, which is a widely used model for COPD. The COPD model group showed structural disorder with considerable inflammatory cell infiltration and epithelial goblet cell proliferation. However, the SJQJD administration reversed these phenomena, indicating its interventional effects on COPD. Moreover, SJQJD improved pulmonary inflammation.</p>
<p>The lung microbiome plays an important role in maintaining stability within the lungs. The airways of patients with COPD often harbor <italic>Haemophilus influenzae</italic>, <italic>Streptococcus pneumoniae</italic>, and <italic>Moraxella catarrhalis</italic>, which in severe cases can be colonized by <italic>Klebsiella pneumoniae</italic>, <italic>Pseudomonas aeruginosa</italic>, and other <italic>Gram-negative bacteria</italic>. Various factors affect the composition of the respiratory microbiota, including the anatomy of the airways, gender, age, and the immune function of the host (<xref ref-type="bibr" rid="B45">Whiteside et&#xa0;al., 2021</xref>). In healthy individuals, the lung microbiota is transient and can be regulated by normal lung defense mechanisms, such as bronchial epithelial cilia movements, coughing, and the immune function of the host. Under healthy conditions, the regional growth conditions generally do not support the extensive proliferation of bacteria, resulting in relatively fewer bacteria. However, inflammatory responses increase the vascular permeability of the airways, providing abundant nutrients, such as amino acids, vitamins, carbon sources, and iron, for bacterial reproduction. Inflammation damages epithelial cells, exposing the basement membrane matrix and promoting bacterial adhesion. Similar to the gut microbiota, dysbiosis of the lung microbiota promotes the persistent progression of COPD (<xref ref-type="bibr" rid="B3">Bowerman et&#xa0;al., 2020</xref>). Reduced microbial diversity has been associated with COPD exacerbation events (<xref ref-type="bibr" rid="B39">Sze et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B44">Wang et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B8">Enaud et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B37">Su et&#xa0;al., 2022</xref>). Herein, the results showed that the microbial abundance and diversity in the COPD model group were significantly reduced, and SJQJD could considerably reverse this phenomenon, suggesting its role in improving the lung microbiota.</p>
<p>The family <italic>Mycoplasmataceae</italic> includes prokaryotic bacteria such as <italic>Mycoplasma</italic> and <italic>genital Ureaplasma</italic> that are pathogenic to humans (<xref ref-type="bibr" rid="B46">Wood et&#xa0;al., 2021</xref>). Reportedly, <italic>mycoplasmas</italic> are one of the common pathogens in patients with COPD (14%) (<xref ref-type="bibr" rid="B23">Lieberman et&#xa0;al., 2001</xref>, <xref ref-type="bibr" rid="B24">2002</xref>). <italic>Mycoplasmas</italic> can evade the host immune system, induce apoptosis, generate free radicals, and cause oxidative-reductive imbalance in the cellular glutathione potential through pro-inflammatory cytokines, thus leading to AECOPD (<xref ref-type="bibr" rid="B33">Sessa et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B28">Papaetis et&#xa0;al., 2010</xref>). The family <italic>Bacillaceae</italic> includes <italic>rod-shaped, endospore-forming, Gram-positive bacteria</italic> (<xref ref-type="bibr" rid="B26">Liu et&#xa0;al., 2015</xref>). They are widely found in nature, including both pathogenic and beneficial strains (<xref ref-type="bibr" rid="B11">Hathout et&#xa0;al., 2000</xref>). However, their specific role in COPD remains unelucidated. Reportedly, the increase of <italic>Bacillus</italic> in the mouse lungs can aggravate local inflammatory response, resulting in more severe pulmonary emphysema (<xref ref-type="bibr" rid="B32">Richmond et&#xa0;al., 2018</xref>), which suggests that <italic>Bacillus</italic> may be a risk factor for COPD. Moreover, a considerably higher population of <italic>Bacillaceae</italic> has been reported in the rat lungs treated with particulate matter 2.5, a COPD-inducing factor, compared with that in the control (<xref ref-type="bibr" rid="B18">Laiman et&#xa0;al., 2023</xref>). Furthermore, lower levels of <italic>Bacillus</italic> have been detected in the sputum of patients with COPD (<xref ref-type="bibr" rid="B35">Simpson et&#xa0;al., 2016</xref>), indicating that <italic>Bacillus</italic> may play a protective role in COPD. The results of this study indicated a low abundance of <italic>Bacillaceae</italic> in the COPD model, whereas it was considerably higher in the control and SJQJD treatment groups, suggesting that <italic>Bacillaceae</italic> may have a role in combating COPD. Reportedly, most members of the <italic>Lachnospiraceae</italic> family in the gut are associated with decreased lung function; however, the abundances of some members are markedly reduced in COPD (<xref ref-type="bibr" rid="B3">Bowerman et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B6">Chiu et&#xa0;al., 2021</xref>). To date, only a few studies are on the distribution and role of <italic>Lachnospiraceae</italic> in the lungs. Herein, we discovered <italic>Lachnospiraceae</italic> to be a marker of the microbiota, with a high abundance in the control and SJQJD groups and a low abundance in the model group, suggesting the regulatory role of its members in COPD in the lungs. <italic>Lachnospiraceae</italic> members can metabolize dietary fiber into short-chain fatty acids (SCFAs), and the SCFA levels are positively correlated with the severity of COPD because of their participation in the maturation process of immune cells, which then exert local and systemic anti-inflammatory effects (<xref ref-type="bibr" rid="B14">Jang et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B36">Song et&#xa0;al., 2023</xref>). The above evidence suggests that <italic>Lachnospiraceae</italic> likely regulate the pulmonary microenvironment and local immune function through their metabolic products.</p>
<p>Furthermore, our study only presented the above results at the animal level. The identification of biomarkers still needs further validation in clinical human specimens. In addition, this article also has certain limitations, as it only observed changes in lung microbiota and did not further verify whether these changes will be involved in the occurrence and development of COPD, as well as the specific mechanisms involved in the process. These are the topics that we need to delve deeper into in the future.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>The findings of this study show that SJQJD can improve COPD in rats. Pulmonary microbiome analysis combined with machine learning identified <italic>Mycoplasmataceae, Bacillaceae</italic>, and <italic>Lachnospiraceae</italic> as potential key biomarkers for SJQJD intervention in COPD; however, more in-depth studies are required to elucidate their specific mechanisms and clinical significance.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The 16S sequencing data involved in this article has been uploaded to the figshare database, which can be obtained through the link: <uri xlink:href="https://figshare.com/articles/dataset/16s_sequencing_data_of_Sangju_Qingjie_Detection_SJQJD_on_pulmonary_microbiota_in_COPD_rats/25156670">https://figshare.com/articles/dataset/16s_sequencing_data_of_Sangju_Qingjie_Detection_SJQJD_on_pulmonary_microbiota_in_COPD_rats/25156670</uri>.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The animal study was approved by Experimental Animal Ethics Committee of Nankai Hospital in Tianjin. The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>ZL: Conceptualization, Data curation, Visualization, Writing &#x2013; original draft. YH: Conceptualization, Data curation, Project administration, Writing &#x2013; review &amp; editing. CH: Writing &#x2013; original draft. XL: Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by projects SF-YB20231022 and SF-YB20211018 from the Science and Technology Bureau of Xiangtan City, Scientific Research Program of Health Commission of Hunan Province, (No. B2017166).</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<fn-group>
<title>Abbreviation</title>
<fn fn-type="abbr">
<p>SJQJD, Sangju Qingjie Decoction; COPD, Chronic Obstructive Pulmonary Disease; AECOPD, Acute Exacerbation of Chronic Obstructive Pulmonary Diseases; LPS, Lipopolysaccharide; H&amp;E, Hematoxylin and Eosin; IL-6, Interleukin 6; IL-8, Interleukin 8; MMP-2, Matrix Metallopeptidase 2; MMP-3, Matrix Metallopeptidase 3; sIgA, secretory Immunoglobulin A; TNF-&#x3b1;, Tumor Necrosis Factor &#x3b1;; OTUs, Operational Taxonomic Units; LEfSe, Linear discriminant analysis effect size; ELISA, Enzyme-Linked Immunosorbnent Assay; LDA, Linear Discriminant Analysis; FVC, Forced Vital Capacity; FEV1, Forced Expiratory Volume in the 1<sup>st</sup> second; SCFAs, Short-Chain Fatty Acids.</p>
</fn>
</fn-group>
<ref-list>
<title>References</title>
<ref id="B1">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Anand</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Mande</surname> <given-names>S. S.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Diet, microbiota and gut-lung connection</article-title>. <source>Front. Microbiol.</source> <volume>9</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fmicb.2018.02147</pub-id>
</citation>
</ref>
<ref id="B2">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Baqdunes</surname> <given-names>M. W.</given-names>
</name>
<name>
<surname>Leap</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Young</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Kaura</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Cheema</surname> <given-names>T.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Acute exacerbation of chronic obstructive pulmonary disease</article-title>. <source>Crit. Care Nurs. Q</source> <volume>44</volume>, <fpage>74</fpage>&#x2013;<lpage>90</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1097/CNQ.0000000000000341</pub-id>
</citation>
</ref>
<ref id="B3">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bowerman</surname> <given-names>K. L.</given-names>
</name>
<name>
<surname>Rehman</surname> <given-names>S. F.</given-names>
</name>
<name>
<surname>Vaughan</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Lachner</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Budden</surname> <given-names>K. F.</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>R. Y.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>Disease-associated gut microbiome and metabolome changes in patients with chronic obstructive pulmonary disease</article-title>. <source>Nat. Commun.</source> <volume>11</volume>, <fpage>5886</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41467-020-19701-0</pub-id>
</citation>
</ref>
<ref id="B4">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cao</surname> <given-names>Q.</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Wei</surname> <given-names>Q.</given-names>
</name>
<name>
<surname>You</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Qiang</surname> <given-names>Y.</given-names>
</name>
<etal/>
</person-group>. (<year>2023</year>). <article-title>The impact of concurrent bacterial lung infection on immunotherapy in patients with non-small cell lung cancer: a retrospective cohort study</article-title>. <source>Front. Cell Infect. Microbiol.</source> <volume>13</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fcimb.2023.1257638</pub-id>
</citation>
</ref>
<ref id="B5">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Celli</surname> <given-names>B. R.</given-names>
</name>
<name>
<surname>Fabbri</surname> <given-names>L. M.</given-names>
</name>
<name>
<surname>Aaron</surname> <given-names>S. D.</given-names>
</name>
<name>
<surname>Agusti</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Brook</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Criner</surname> <given-names>G. J.</given-names>
</name>
<etal/>
</person-group>. (<year>2021</year>). <article-title>An updated definition and severity classification of chronic obstructive pulmonary disease exacerbations: the Rome proposal</article-title>. <source>Am. J. Respir. Crit. Care Med.</source> <volume>204</volume>, <fpage>1251</fpage>&#x2013;<lpage>1258</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1164/rccm.202108-1819PP</pub-id>
</citation>
</ref>
<ref id="B6">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chiu</surname> <given-names>Y. C.</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>S. W.</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>C. W.</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>R. C.</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>Y. C.</given-names>
</name>
<name>
<surname>Lan</surname> <given-names>T. Y.</given-names>
</name>
<etal/>
</person-group>. (<year>2021</year>). <article-title>Comprehensive profiling of the gut microbiota in patients with chronic obstructive pulmonary disease of varying severity</article-title>. <source>PloS One</source> <volume>16</volume>, <elocation-id>e0249944</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pone.0249944</pub-id>
</citation>
</ref>
<ref id="B7">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dong</surname> <given-names>Z. Q.</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>Y. Z.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Clinical observation of Sangju Qingjie soup in treatment of bronchiectasis</article-title>. <source>China Med. Pharm.</source> <volume>8</volume>, <fpage>60</fpage>&#x2013;<lpage>62</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3969/j.issn.2095-0616.2018.07.018</pub-id>
</citation>
</ref>
<ref id="B8">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Enaud</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Prevel</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Ciarlo</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Beaufils</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Wie&#xeb;rs</surname> <given-names>G.</given-names>
</name>
<name>
<surname>Guery</surname> <given-names>B.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>The gut-lung axis in health and respiratory diseases: A place for inter-organ and inter-kingdom crosstalks</article-title>. <source>Front. Cell Infect. Microbiol.</source> <volume>10</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fcimb.2020.00009</pub-id>
</citation>
</ref>
<ref id="B9">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fang</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Gao</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Bao</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Tang</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Feng</surname> <given-names>Y.</given-names>
</name>
<etal/>
</person-group>. (<year>2018</year>). <article-title>Chronic obstructive pulmonary disease in China: a nationwide prevalence study</article-title>. <source>Lancet Respir. Med.</source> <volume>6</volume>, <fpage>421</fpage>&#x2013;<lpage>430</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S2213-2600(18)30103-6</pub-id>
</citation>
</ref>
<ref id="B10">
<citation citation-type="journal">
<person-group person-group-type="author">
<collab>GBD 2017 Causes of Death Collaborators</collab>
</person-group>. (<year>2018</year>). <article-title>Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017</article-title>. <source>Lancet</source> <volume>392</volume>, <fpage>1736</fpage>&#x2013;<lpage>1788</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/s0140-6736(18)32203-7</pub-id>
</citation>
</ref>
<ref id="B11">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hathout</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Ho</surname> <given-names>Y. P.</given-names>
</name>
<name>
<surname>Ryzhov</surname> <given-names>V.</given-names>
</name>
<name>
<surname>Demirev</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Fenselau</surname> <given-names>C.</given-names>
</name>
</person-group> (<year>2000</year>). <article-title>Kurstakins: a new class of lipopeptides isolated from Bacillus thuringiensis</article-title>. <source>J. Nat. Prod</source> <volume>63</volume>, <fpage>1492</fpage>&#x2013;<lpage>1496</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1021/np000169q</pub-id>
</citation>
</ref>
<ref id="B12">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hua</surname> <given-names>J. L.</given-names>
</name>
<name>
<surname>Hu</surname> <given-names>W. P.</given-names>
</name>
<name>
<surname>Zuo</surname> <given-names>Y. H.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>J.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Prevention of acute exacerbation in subjects with moderate-to-very severe COPD by modulating lower respiratory microbiome: protocol of a prospective, multicenter, randomized controlled trial</article-title>. <source>Int. J. Chron Obstruct Pulmon Dis.</source> <volume>15</volume>, <fpage>2985</fpage>&#x2013;<lpage>2990</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2147/COPD.S274005</pub-id>
</citation>
</ref>
<ref id="B13">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Huang</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Dong</surname> <given-names>Z. Q.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>S. F.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>J. F.</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>Z. ,. Y.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Effect of sangju qingjie decoction on chronic obstructive pulmonary disease with phlegm-heat accumulation and its influence on immune function</article-title>. <source>Chin. Arch. Tradit. Chin. Med.</source> <volume>39</volume>, <fpage>184</fpage>&#x2013;<lpage>187</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.13193/j.issn.1673-7717.2021.07.046</pub-id>
</citation>
</ref>
<ref id="B14">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jang</surname> <given-names>Y. O.</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>S. H.</given-names>
</name>
<name>
<surname>Choi</surname> <given-names>J. J.</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>D. H.</given-names>
</name>
<name>
<surname>Choi</surname> <given-names>J. M.</given-names>
</name>
<name>
<surname>Kang</surname> <given-names>M. J.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>Fecal microbial transplantation and a high fiber diet attenuates emphysema development by suppressing inflammation and apoptosis</article-title>. <source>Exp. Mol. Med.</source> <volume>52</volume>, <fpage>1128</fpage>&#x2013;<lpage>1139</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s12276-020-0469-y</pub-id>
</citation>
</ref>
<ref id="B15">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jiang</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Yuan</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Lang</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>J.</given-names>
</name>
<etal/>
</person-group>. (<year>2022</year>). <article-title>Identification of potential anti-pneumonia pharmacological components of Glycyrrhizae Radix et Rhizoma after the treatment with Gan An He Ji oral liquid</article-title>. <source>J. Pharm. Anal.</source> <volume>12</volume>, <fpage>839</fpage>&#x2013;<lpage>851</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jpha.2022.07.004</pub-id>
</citation>
</ref>
<ref id="B16">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Karakasidis</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Kotsiou</surname> <given-names>O. S.</given-names>
</name>
<name>
<surname>Gourgoulianis</surname> <given-names>K. I.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Lung and gut microbiome in COPD</article-title>. <source>J. Pers. Med.</source> <volume>13</volume>, <page-range>1&#x2013;16</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/jpm13050804</pub-id>
</citation>
</ref>
<ref id="B17">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kim</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Bak</surname> <given-names>S. H.</given-names>
</name>
<name>
<surname>Oh</surname> <given-names>Y. M.</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>W. J.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>A comparative study of chest CT findings regarding the effects of regional dust exposure on patients with COPD living in urban areas and rural areas near cement plants</article-title>. <source>Respir. Res.</source> <volume>22</volume>, <fpage>43</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12931-021-01649-4</pub-id>
</citation>
</ref>
<ref id="B18">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Laiman</surname> <given-names>V.</given-names>
</name>
<name>
<surname>Lo</surname> <given-names>Y. C.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>H. C.</given-names>
</name>
<name>
<surname>Yuan</surname> <given-names>T. H.</given-names>
</name>
<name>
<surname>Hsiao</surname> <given-names>T. C.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>J. K.</given-names>
</name>
<etal/>
</person-group>. (<year>2023</year>). <article-title>Data on lung and intestinal microbiome after air pollution exposure in ageing rats</article-title>. <source>Data Brief</source> <volume>47</volume>, <elocation-id>109004</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.dib.2023.109004</pub-id>
</citation>
</ref>
<ref id="B19">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Leitao Filho</surname> <given-names>F. S.</given-names>
</name>
<name>
<surname>Alotaibi</surname> <given-names>N. M.</given-names>
</name>
<name>
<surname>Ngan</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Tam</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Hollander</surname> <given-names>Z.</given-names>
</name>
<etal/>
</person-group>. (<year>2019</year>). <article-title>Sputum microbiome is associated with 1-year mortality after chronic obstructive pulmonary disease hospitalizations</article-title>. <source>Am. J. Respir. Crit. Care Med.</source> <volume>199</volume>, <fpage>1205</fpage>&#x2013;<lpage>1213</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1164/rccm.201806-1135OC</pub-id>
</citation>
</ref>
<ref id="B20">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Mao</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Bian</surname> <given-names>Q.</given-names>
</name>
<name>
<surname>Xuan</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>T.</given-names>
</name>
<etal/>
</person-group>. (<year>2021</year>). <article-title>Combination of chinese and western medicine optimizes the intestinal microbiota of exacerbated chronic obstructive pulmonary disease in rats</article-title>. <source>Evid Based Complement Alternat Med.</source> <volume>2021</volume>, <elocation-id>9975407</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1155/2021/9975407</pub-id>
</citation>
</ref>
<ref id="B21">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>Q.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Tian</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Huo</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Meng</surname> <given-names>Y.</given-names>
</name>
<etal/>
</person-group>. (<year>2022</year>). <article-title>The antifibrotic effect of pheretima protein is mediated by the TGF-&#x3b2;1/Smad2/3 pathway and attenuates inflammation in bleomycin-induced idiopathic pulmonary fibrosis</article-title>. <source>J. Ethnopharmacol</source> <volume>286</volume>, <elocation-id>114901</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jep.2021.114901</pub-id>
</citation>
</ref>
<ref id="B22">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>Q.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>J. Q.</given-names>
</name>
<etal/>
</person-group>. (<year>2019</year>). <article-title>Pharmacokinetic mechanisms underlying the detoxification effect of Glycyrrhizae&#xa0;Radix et Rhizoma (Gancao): drug metabolizing enzymes, transporters, and beyond</article-title>. <source>Expert Opin. Drug Metab. Toxicol.</source> <volume>15</volume>, <fpage>167</fpage>&#x2013;<lpage>177</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/17425255.2019.1563595</pub-id>
</citation>
</ref>
<ref id="B23">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lieberman</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Lieberman</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Ben-Yaakov</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Lazarovich</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Hoffman</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Ohana</surname> <given-names>B.</given-names>
</name>
<etal/>
</person-group>. (<year>2001</year>). <article-title>Infectious etiologies in acute exacerbation of COPD</article-title>. <source>Diagn. Microbiol. Infect. Dis.</source> <volume>40</volume>, <fpage>95</fpage>&#x2013;<lpage>102</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S0732-8893(01)00255-3</pub-id>
</citation>
</ref>
<ref id="B24">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lieberman</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Lieberman</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Ben-Yaakov</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Shmarkov</surname> <given-names>O.</given-names>
</name>
<name>
<surname>Gelfer</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Varshavsky</surname> <given-names>R.</given-names>
</name>
<etal/>
</person-group>. (<year>2002</year>). <article-title>Serological evidence of Mycoplasma pneumoniae infection in acute exacerbation of COPD</article-title>. <source>Diagn. Microbiol. Infect. Dis.</source> <volume>44</volume>, <fpage>1</fpage>&#x2013;<lpage>6</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S0732-8893(02)00421-2</pub-id>
</citation>
</ref>
<ref id="B25">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Tan</surname> <given-names>X. Y.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>H. Q.</given-names>
</name>
<name>
<surname>Su</surname> <given-names>K. L.</given-names>
</name>
<name>
<surname>Shang</surname> <given-names>E. X.</given-names>
</name>
<name>
<surname>Xiao</surname> <given-names>Q. L.</given-names>
</name>
<etal/>
</person-group>. (<year>2024</year>). <article-title>Optimal compatibility proportional screening of Trichosanthis Pericarpium &#x2013; Trichosanthis Radix and its anti &#x2013; Inflammatory components effect on experimental zebrafish and coughing mice</article-title>. <source>J. Ethnopharmacol</source> <volume>319</volume>, <elocation-id>117096</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jep.2023.117096</pub-id>
</citation>
</ref>
<ref id="B26">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Du</surname> <given-names>Q.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>Q.</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>P.</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>Jilinibacillus soli gen. nov., sp. nov., a novel member of the family Bacillaceae</article-title>. <source>Arch. Microbiol.</source> <volume>197</volume>, <fpage>11</fpage>&#x2013;<lpage>16</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00203-014-1032-9</pub-id>
</citation>
</ref>
<ref id="B27">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Ming</surname> <given-names>T. W.</given-names>
</name>
<name>
<surname>Gaun</surname> <given-names>T. K. W.</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>S.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>Isosteroid alkaloids with different chemical structures from Fritillariae cirrhosae bulbus alleviate LPS-induced inflammatory response in RAW 264.7 cells by MAPK signaling pathway</article-title>. <source>Int. Immunopharmacol</source> <volume>78</volume>, <elocation-id>106047</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.intimp.2019.106047</pub-id>
</citation>
</ref>
<ref id="B28">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Papaetis</surname> <given-names>G. S.</given-names>
</name>
<name>
<surname>Anastasakou</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Tselou</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Sotiriou</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Rarra</surname> <given-names>V. C.</given-names>
</name>
<name>
<surname>Roussou</surname> <given-names>P.</given-names>
</name>
<etal/>
</person-group>. (<year>2010</year>). <article-title>Serological evidence of Mycoplasma pneumoniae infection in patients with acute exacerbation of COPD: analysis of 100 hospitalizations</article-title>. <source>Adv. Med. Sci.</source> <volume>55</volume>, <fpage>235</fpage>&#x2013;<lpage>241</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2478/v10039-010-0031-6</pub-id>
</citation>
</ref>
<ref id="B29">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Park</surname> <given-names>S. J.</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>Y. W.</given-names>
</name>
<name>
<surname>Park</surname> <given-names>M. K.</given-names>
</name>
<name>
<surname>Byun</surname> <given-names>S. H.</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>S. C.</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>J. R.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Anti-inflammatory steroid from phragmitis rhizoma modulates LPS-mediated signaling through inhibition of NF-&#x3ba;B pathway</article-title>. <source>Inflammation</source> <volume>39</volume>, <fpage>727</fpage>&#x2013;<lpage>734</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s10753-015-0299-6</pub-id>
</citation>
</ref>
<ref id="B30">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ramsheh</surname> <given-names>M. Y.</given-names>
</name>
<name>
<surname>Haldar</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Esteve-Codina</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Purser</surname> <given-names>L. F.</given-names>
</name>
<name>
<surname>Richardson</surname> <given-names>M.</given-names>
</name>
<name>
<surname>M&#xfc;ller-Quernheim</surname> <given-names>J.</given-names>
</name>
<etal/>
</person-group>. (<year>2021</year>). <article-title>Lung microbiome composition and bronchial epithelial gene expression in patients with COPD versus healthy individuals: a bacterial 16S rRNA gene sequencing and host transcriptomic analysis</article-title>. <source>Lancet Microbe</source> <volume>2</volume>, <fpage>e300</fpage>&#x2013;<lpage>e310</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S2666-5247(21)00035-5</pub-id>
</citation>
</ref>
<ref id="B31">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ren</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Meng</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>T.</given-names>
</name>
<etal/>
</person-group>. (<year>2021</year>). <article-title>Spiky titanium dioxide nanoparticles-loaded Plantaginis Semen polysaccharide as an adjuvant to enhance immune responses</article-title>. <source>Int. J. Biol. Macromol</source> <volume>191</volume>, <fpage>1096</fpage>&#x2013;<lpage>1104</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ijbiomac.2021.09.184</pub-id>
</citation>
</ref>
<ref id="B32">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Richmond</surname> <given-names>B. W.</given-names>
</name>
<name>
<surname>Du</surname> <given-names>R. H.</given-names>
</name>
<name>
<surname>Han</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Benjamin</surname> <given-names>J. T.</given-names>
</name>
<name>
<surname>van der Meer</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Gleaves</surname> <given-names>L.</given-names>
</name>
<etal/>
</person-group>. (<year>2018</year>). <article-title>Bacterial-derived neutrophilic inflammation drives lung remodeling in a mouse model of chronic obstructive pulmonary disease</article-title>. <source>Am. J. Respir. Cell Mol. Biol.</source> <volume>58</volume>, <fpage>736</fpage>&#x2013;<lpage>744</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1165/rcmb.2017-0329OC</pub-id>
</citation>
</ref>
<ref id="B33">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sessa</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Di Pietro</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Schiavoni</surname> <given-names>G.</given-names>
</name>
<name>
<surname>Macone</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Maras</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Fontana</surname> <given-names>M.</given-names>
</name>
<etal/>
</person-group>. (<year>2009</year>). <article-title>Chlamydia pneumoniae induces T cell apoptosis through glutathione redox imbalance and secretion of TNF-alpha</article-title>. <source>Int. J. Immunopathol. Pharmacol.</source> <volume>22</volume>, <fpage>659</fpage>&#x2013;<lpage>668</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1177/039463200902200311</pub-id>
</citation>
</ref>
<ref id="B34">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shi</surname> <given-names>C. Y.</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>C. H.</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>W. Y.</given-names>
</name>
<name>
<surname>Ying</surname> <given-names>H. Z.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Gut-lung microbiota in chronic pulmonary diseases: evolution, pathogenesis, and therapeutics</article-title>. <source>Can. J. Infect. Dis. Med. Microbiol.</source> <volume>2021</volume>, <elocation-id>9278441</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1155/2021/9278441</pub-id>
</citation>
</ref>
<ref id="B35">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Simpson</surname> <given-names>J. L.</given-names>
</name>
<name>
<surname>Baines</surname> <given-names>K. J.</given-names>
</name>
<name>
<surname>Horvat</surname> <given-names>J. C.</given-names>
</name>
<name>
<surname>Essilfie</surname> <given-names>A. T.</given-names>
</name>
<name>
<surname>Brown</surname> <given-names>A. C.</given-names>
</name>
<name>
<surname>Tooze</surname> <given-names>M.</given-names>
</name>
<etal/>
</person-group>. (<year>2016</year>). <article-title>COPD is characterized by increased detection of Haemophilus influenzae, Streptococcus pneumoniae and a deficiency of Bacillus species</article-title>. <source>Respirology</source> <volume>21</volume>, <fpage>697</fpage>&#x2013;<lpage>704</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/resp.12734</pub-id>
</citation>
</ref>
<ref id="B36">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Song</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Yue</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>Q.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Imbalance of gut microbiota is involved in the development of chronic obstructive pulmonary disease: A review</article-title>. <source>BioMed. Pharmacother.</source> <volume>165</volume>, <elocation-id>115150</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.biopha.2023.115150</pub-id>
</citation>
</ref>
<ref id="B37">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Su</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Qiao</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Luo</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>H.</given-names>
</name>
<etal/>
</person-group>. (<year>2022</year>). <article-title>Characteristics of the sputum microbiome in COPD exacerbations and correlations between clinical indices</article-title>. <source>J. Transl. Med.</source> <volume>20</volume>, <fpage>76</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12967-022-03278-x</pub-id>
</citation>
</ref>
<ref id="B38">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sun</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Lan</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Tong</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Xiong</surname> <given-names>A.</given-names>
</name>
<etal/>
</person-group>. (<year>2019</year>). <article-title>An integrative investigation on the efficacy of Plantaginis semen based on UPLC-QTOF-MS metabolomics approach in hyperlipidemic mice</article-title>. <source>BioMed. Pharmacother.</source> <volume>115</volume>, <elocation-id>108907</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.biopha.2019.108907</pub-id>
</citation>
</ref>
<ref id="B39">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sze</surname> <given-names>M. A.</given-names>
</name>
<name>
<surname>Dimitriu</surname> <given-names>P. A.</given-names>
</name>
<name>
<surname>Hayashi</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Elliott</surname> <given-names>W. M.</given-names>
</name>
<name>
<surname>McDonough</surname> <given-names>J. E.</given-names>
</name>
<name>
<surname>Gosselink</surname> <given-names>J. V.</given-names>
</name>
<etal/>
</person-group>. (<year>2012</year>). <article-title>The lung tissue microbiome in chronic obstructive pulmonary disease</article-title>. <source>Am. J. Respir. Crit. Care Med.</source> <volume>185</volume>, <fpage>1073</fpage>&#x2013;<lpage>1080</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1164/rccm.201111-2075OC</pub-id>
</citation>
</ref>
<ref id="B40">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tian</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Han</surname> <given-names>Z. Z.</given-names>
</name>
<name>
<surname>Wei</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>H. W.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>Anti-inflammatory chemical constituents of Flos Chrysanthemi Indici determined by UPLC-MS/MS integrated with network pharmacology</article-title>. <source>Food Funct.</source> <volume>11</volume>, <fpage>6340</fpage>&#x2013;<lpage>6351</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1039/D0FO01000F</pub-id>
</citation>
</ref>
<ref id="B41">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Valdes</surname> <given-names>A. M.</given-names>
</name>
<name>
<surname>Walter</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Segal</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Spector</surname> <given-names>T. D.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Role of the gut microbiota in nutrition and health</article-title>. <source>Bmj</source> <volume>361</volume>, <elocation-id>k2179</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1136/bmj.k2179</pub-id>
</citation>
</ref>
<ref id="B42">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Vaughan</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Frazer</surname> <given-names>Z. A.</given-names>
</name>
<name>
<surname>Hansbro</surname> <given-names>P. M.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>I. A.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>COPD and the gut-lung axis: the therapeutic potential of fiber</article-title>. <source>J. Thorac. Dis.</source> <volume>11</volume>, <fpage>S2173</fpage>&#x2013;<lpage>s2180</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.21037/jtd.2019.10.40</pub-id>
</citation>
</ref>
<ref id="B43">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Vogelmeier</surname> <given-names>C. F.</given-names>
</name>
<name>
<surname>Criner</surname> <given-names>G. J.</given-names>
</name>
<name>
<surname>Martinez</surname> <given-names>F. J.</given-names>
</name>
<name>
<surname>Anzueto</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Barnes</surname> <given-names>P. J.</given-names>
</name>
<name>
<surname>Bourbeau</surname> <given-names>J.</given-names>
</name>
<etal/>
</person-group>. (<year>2017</year>). <article-title>Global strategy for the diagnosis, management, and prevention of chronic obstructive lung disease 2017 report. GOLD executive summary</article-title>. <source>Am. J. Respir. Crit. Care Med.</source> <volume>195</volume>, <fpage>557</fpage>&#x2013;<lpage>582</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1164/rccm.201701-0218PP</pub-id>
</citation>
</ref>
<ref id="B44">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Maschera</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Lea</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Kolsum</surname> <given-names>U.</given-names>
</name>
<name>
<surname>Michalovich</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Van Horn</surname> <given-names>S.</given-names>
</name>
<etal/>
</person-group>. (<year>2019</year>). <article-title>Airway host-microbiome interactions in chronic obstructive pulmonary disease</article-title>. <source>Respir. Res.</source> <volume>20</volume>, <fpage>113</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12931-019-1085-z</pub-id>
</citation>
</ref>
<ref id="B45">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Whiteside</surname> <given-names>S. A.</given-names>
</name>
<name>
<surname>McGinniss</surname> <given-names>J. E.</given-names>
</name>
<name>
<surname>Collman</surname> <given-names>R. G.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>The lung microbiome: progress and promise</article-title>. <source>J. Clin. Invest.</source> <volume>131</volume>, <page-range>1&#x2013;10</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1172/JCI150473</pub-id>
</citation>
</ref>
<ref id="B46">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wood</surname> <given-names>A. M.</given-names>
</name>
<name>
<surname>Tang</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Truong</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Feldman</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Pieper</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Murtha</surname> <given-names>A. P.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Vaginal Mycoplasmataceae colonization and association with immune mediators in pregnancy</article-title>. <source>J. Matern Fetal Neonatal Med.</source> <volume>34</volume>, <fpage>2295</fpage>&#x2013;<lpage>2302</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/14767058.2019.1663820</pub-id>
</citation>
</ref>
<ref id="B47">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wu</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Hou</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Lu</surname> <given-names>X.</given-names>
</name>
<etal/>
</person-group>. (<year>2014</year>). <article-title>Analysis of the bacterial community in chronic obstructive pulmonary disease sputum samples by denaturing gradient gel electrophoresis and real-time PCR</article-title>. <source>BMC Pulm Med.</source> <volume>14</volume>, <elocation-id>179</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/1471-2466-14-179</pub-id>
</citation>
</ref>
<ref id="B48">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wu</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Cao</surname> <given-names>Q.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Gong</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>Q.</given-names>
</name>
<etal/>
</person-group>. (<year>2023</year>). <article-title>Reprogramming of Treg cells in the inflammatory microenvironment during immunotherapy: a literature review</article-title>. <source>Front. Immunol.</source> <volume>14</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2023.1268188</pub-id>
</citation>
</ref>
<ref id="B49">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yagi</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Huffnagle</surname> <given-names>G. B.</given-names>
</name>
<name>
<surname>Lukacs</surname> <given-names>N. W.</given-names>
</name>
<name>
<surname>Asai</surname> <given-names>N.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>The lung microbiome during health and disease</article-title>. <source>Int. J. Mol. Sci.</source> <volume>22</volume>, <page-range>1&#x2013;13</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/ijms221910872</pub-id>
</citation>
</ref>
<ref id="B50">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yee</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Cha</surname> <given-names>Y. H.</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Cho</surname> <given-names>N. E.</given-names>
</name>
<etal/>
</person-group>. (<year>2022</year>). <article-title>Effects of sangju honey on oral squamous carcinoma cells</article-title>. <source>J. Cancer Prev.</source> <volume>27</volume>, <fpage>239</fpage>&#x2013;<lpage>246</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.15430/JCP.2022.27.4.239</pub-id>
</citation>
</ref>
<ref id="B51">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhai</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Shao</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Yin</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>W.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Cortex mori radicis attenuates streptozotocin-induced diabetic renal injury in mice via regulation of transient receptor potential canonical channel 6</article-title>. <source>Endocr. Metab. Immune Disord. Drug Targets</source> <volume>22</volume>, <fpage>862</fpage>&#x2013;<lpage>873</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2174/1871530322666220110161458</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>