<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.132220.4</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>The altered sputum microbiome profile in patients with moderate and severe COPD exacerbations, compared to the healthy group in the Indian population</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 4; peer review: 2 approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Hazra</surname>
                        <given-names>Druti</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>SM</surname>
                        <given-names>Fayaz</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Chawla</surname>
                        <given-names>Kiran</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-4010-4088</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Sintchenko</surname>
                        <given-names>Vitali</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Martinez</surname>
                        <given-names>Elena</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Magazine</surname>
                        <given-names>Rahul</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Siddalingaiah</surname>
                        <given-names>Nayana</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Department of Microbiology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India</aff>
                <aff id="a2">
                    <label>2</label>Department of Biotechnology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India</aff>
                <aff id="a3">
                    <label>3</label>Centre for Infectious Diseases and Microbiology-Public Health, Westmead Hospital, Westmead, New South Wale, 2145, Australia</aff>
                <aff id="a4">
                    <label>4</label>Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, New South Wales, 2145, Australia</aff>
                <aff id="a5">
                    <label>5</label>Department of Respiratory Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:kiran.chawla@manipal.edu">kiran.chawla@manipal.edu</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>27</day>
                <month>10</month>
                <year>2023</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2023</year>
            </pub-date>
            <volume>12</volume>
            <elocation-id>528</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>25</day>
                    <month>10</month>
                    <year>2023</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Hazra D et al.</copyright-statement>
                <copyright-year>2023</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/12-528/pdf"/>
            <abstract>
                <p>
                    <bold>Background:</bold> Microbial culture-independent sequencing techniques have advanced our understanding of host-microbiome interactions in health and disease. The purpose of this study was to explore the dysbiosis of airway microbiota in patients with moderate or severe chronic obstructive pulmonary disease (COPD) and compare them with healthy controls.</p>
                <p>
                    <bold>Methods:</bold> The COPD patients were investigated for disease severity based on airflow limitations and divided into moderate (50%&#x2264;FEV1&lt;80% predicted) and severe groups (FEV1&lt;50% predicted). Spontaneous sputum samples were collected and, the V3-V4 regions of the 16S rRNA coding gene were sequenced to examine the microbiome profile of COPD and healthy participants.</p>
                <p>
                    <bold>Results:</bold> A total of 45 sputum samples were collected from 17 severe COPD, 12 moderate COPD cases, and 16 healthy volunteers. The bacterial alpha diversity (Shannon and Simpson&#x2019;s index) significantly decreased in the moderate and severe COPD groups, compared to healthy samples. A significantly higher proportion of Firmicutes and Actinobacteria were present in moderate COPD, and Proteobacteria numbers were comparatively increased in severe COPD. In healthy samples, Bacteroidetes and Fusobacteria were more abundant in comparison to both the COPD groups. Among the most commonly detected 20 bacterial genera, 
                    <italic toggle="yes">Streptococcus</italic> was predominant among the COPD sputum samples, whereas 
                    <italic toggle="yes">Prevotella</italic> was the top genus in healthy controls. Linear discriminant analysis (LDA&gt;2) revealed that marker genera like 
                    <italic toggle="yes">Streptococcus</italic> and 
                    <italic toggle="yes">Rothia</italic> were abundant in moderate COPD. For severe COPD, the genera 
                    <italic toggle="yes">Pseudomonas</italic>and 
                    <italic toggle="yes">Leptotrichia</italic> were most prevalent, whereas 
                    <italic toggle="yes">Fusobacterium</italic> and 
                    <italic toggle="yes">Prevotella</italic> were dominant in the healthy group.</p>
                <p>
                    <bold>Conclusions:</bold> Our findings suggest a significant dysbiosis of the respiratory microbiome in COPD patients. The decreased microbial diversity may influence the host immune response and provide microbiological biomarkers for the diagnosis and monitoring of COPD.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Microbiome</kwd>
                <kwd>chronic obstructive pulmonary disease</kwd>
                <kwd>respiratory pathology</kwd>
                <kwd>16S rRNA gene sequencing</kwd>
                <kwd>microbial populations</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
        <notes>
            <sec sec-type="version-changes">
                <label>Revised</label>
                <title>Amendments from Version 3</title>
                <p>We added&#x00a0;exacerbations in the title as per the reviewer's suggestion.</p>
            </sec>
        </notes>
    </front>
    <body>
        <sec id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>Chronic obstructive pulmonary disease (COPD) is a heterogenous lung pathology, manifesting with persistent and progressive respiratory symptoms, airway obstruction, and inflammation due to structural abnormalities.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> COPD is one of the leading causes of mortality and morbidity globally and its burden is predicted to rise further in the upcoming years due to constant exposure to air pollution, respiratory pathogens, and the growing elderly population.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> COPD is a treatable but incurable disease, and often switches between a stable to an exacerbated state disease.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> The frequent exacerbation and worsening of respiratory symptoms affect the individual quality of life with a significant socioeconomic burden and impose a huge healthcare management cost.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> The progression of COPD often leads to chronic inflammation and major destruction of the lung and airway, which disrupts pulmonary microbiome homeostasis. Commensal microbes play a crucial role in innate immune regulation, protecting against invading pathogens and maintaining epithelial integrity. The recent advancement of culture-independent next-generation sequencing techniques have uncovered the diverse microbial communities colonizing the respiratory mucosa and recognized their roles in health and disease.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup>
            </p>
            <p>In the past, several studies have evaluated lung microbiome composition and its association with COPD manifestations. The changes in bacterial diversity and several significant taxa have been identified in COPD patients, which play a role in disease progression. A high heterogeneity has been observed among these studies, potentially attributed to the underlying health conditions of selected populations and geographical variations. However, the changes in the sputum microbial profile in the Indian population with COPD are not well understood. This study aimed to evaluate the changes in lung microbiome diversity of patients with moderate or severe COPD and compare them with the microbiomes of healthy controls.</p>
        </sec>
        <sec id="sec2" sec-type="methods">
            <title>Methods</title>
            <sec id="sec3">
                <title>Ethical considerations</title>
                <p>This study was approved by the Kasturba Medical College and Kasturba Hospital Institutional Ethics Committee [IEC: 479/2019].</p>
            </sec>
            <sec id="sec4">
                <title>Consent to participate</title>
                <p>Written informed consent was obtained from all the participants.</p>
            </sec>
            <sec id="sec5">
                <title>Study design and population</title>
                <p>To conduct this prospective observational study, sputum samples were collected from eligible COPD participants, who presented to our hospital and were diagnosed with COPD in accordance with the 2019 Global Initiative for Chronic Obstructive Lung Disease (GOLD) guideline.
                    <sup>
                        <xref ref-type="bibr" rid="ref10">10</xref>
                    </sup> Their lung functions were measured using spirometry. The enrolled cases were regrouped into moderate COPD (50%&#x2264;FEV1&lt;80% predicted) and severe COPD (FEV1&lt;50% predicted). The exclusion criteria for COPD participants were: (a) age &#x2264;40 years, (b) patients diagnosed with other respiratory diseases or immunosuppression, and (c) history of antibiotic usage within four weeks prior to sample collection. Healthy controls include individuals &#x2265;40 years of age and those not having any apparent illness. There was no gender-based exclusions or restrictions for recruiting participants. Demographic and clinical information was obtained for the enrolled participants. This study was approved by the Kasturba Medical College and Kasturba Hospital Institutional Ethics Committee (IEC: 479/2019) and the participants were enrolled after providing written informed consent.</p>
            </sec>
            <sec id="sec6">
                <title>Sample collection, DNA isolation, and 16S rDNA sequencing</title>
                <p>The participants were instructed to cough up sputum into a sterile container and samples were transported on ice to the laboratory. All sputum samples were evaluated with routine conventional culturing and an aliquot of it was stored at &#x2212;80&#x00b0;C for the DNA extraction. The sputum samples were homogenized using an equal volume of 0.2% dithiothreitol (DTT) (Sigma Aldrich, USA), and lysozyme-based Qiagen DNA Mini kit (Qiagen, USA) was used to extract the genomic DNA according to the manufacturer&#x2019;s protocol. The Qubit 2.0 fluorometer (Thermo Fisher Scientific, USA) was used to measure the purity and concentration of the extracted DNA.</p>
                <p>The purified DNA was further processed for the 16S rRNA V3-V4 regions targeted amplification to uncover the bacterial community in sputum samples. Based on the Illumina protocol,
                    <sup>
                        <xref ref-type="bibr" rid="ref11">11</xref>
                    </sup> PCR amplification of V3-V4 hypervariable regions (~456 bp) were performed using the primer pair 341F/785R. Sequencing adapters and dual index barcodes were added with a limited cycle of PCR. After the quality assessment, multiplex amplified libraries were pooled equally and paired-end reads (2X300 bp) were generated using the MiSeq instrument (Illumina, San Diego, CA, United States).</p>
            </sec>
            <sec id="sec7">
                <title>Bioinformatics analysis</title>
                <p>The sequenced raw data were processed using the standard Mothur v1.46.1 pipeline.
                    <sup>
                        <xref ref-type="bibr" rid="ref12">12</xref>
                    </sup> A quality check of the reads was carried out and the low-quality reads and chimeras were removed. Contigs were created from the paired-end reads. Unique sequences were considered by removing the identical sequences. The quality reads were then aligned to the SILVA database and clustered into Operational Taxonomic Units (OTUs) at 97% similarity and taxa level 4, which is similar to the genus for Bacteria.
                    <sup>
                        <xref ref-type="bibr" rid="ref13">13</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec8">
                <title>Statistical analysis</title>
                <p>The microbial community diversity profiles among the moderate COPD, severe COPD, and healthy groups were analyzed using the alpha and beta-diversity metrics. The Shannon, Simpson, and Chao1 matrices were used to measure bacterial Alpha-diversity and an ANOVA test was done to estimate significant differences. Beta diversity was performed using the Principal Coordinate Analysis (PCoA) method along with the Bray-Curtis index as distance measure and permutational multivariate analysis of variance (PERMANOVA) for the significant measure. The genus biomarkers (discriminative genera among the groups) were identified using linear discriminant analysis effect size (LEfSe) and a cut-off linear discriminant analysis (LDA) score &gt;2.0.</p>
            </sec>
        </sec>
        <sec id="sec9" sec-type="results">
            <title>Results</title>
            <sec id="sec10">
                <title>Features of the study participants</title>
                <p>Sputum samples from COPD cases (12 moderate COPD and 17 severe COPD) and 16 healthy volunteers were included in the study. The participants&#x2019; clinical and demographic features like gender, age, BMI, pulmonary function tests (FEV1% predicted, FEV1 and FEV1/FVC values), mMRC dyspnoea score, and whether they were current smokers are summarized in 
                    <xref ref-type="table" rid="T1">Table 1</xref>. At the time of sampling, all COPD patients were in an exacerbated state of the disease and no significant growth of respiratory pathogens was detected in the sputum cultures.</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>Table 1. </label>
                    <caption>
                        <title>Clinical and demographic features of the study population.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Features</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Moderate COPD (n=12)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Severe COPD (n=17)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Healthy (n=16)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Age, years (mean&#x2009;&#x00b1;&#x2009;SD)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">66&#x2009;&#x00b1;&#x2009;5.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">64&#x2009;&#x00b1;&#x2009;5.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">58&#x2009;&#x00b1;&#x2009;5.3</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Gender</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Male (%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12 (100)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16 (94.1)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10 (62.5)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Female (%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1 (5.9)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6 (37.5)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">BMI (kg/m
                                    <sup>2</sup>) (mean&#x2009;&#x00b1;&#x2009;SD)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">25.4&#x2009;&#x00b1;&#x2009;5.6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">23.2&#x2009;&#x00b1;&#x2009;5.7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">24.2&#x2009;&#x00b1;&#x2009;4.4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Current Smoker (%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4 (30.8)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2 (11.8)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3 (18.7)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Post-bronchodilator FEV1, % predicted (mean&#x2009;&#x00b1;&#x2009;SD)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">75.1&#x2009;&#x00b1;&#x2009;16.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">30.8&#x2009;&#x00b1;&#x2009;8.6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Post-bronchodilator FEV1, L (mean&#x2009;&#x00b1;&#x2009;SD)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.4&#x2009;&#x00b1;&#x2009;0.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.8&#x2009;&#x00b1;&#x2009;0.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Post-bronchodilator FEV1/FVC ratio, % (mean&#x2009;&#x00b1;&#x2009;SD)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">64.7&#x2009;&#x00b1;&#x2009;5.6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">61&#x2009;&#x00b1;&#x2009;7.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">mMRC Dyspnoea scale (IQR)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2(2)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3 (3)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec id="sec11">
                <title>Bacterial diversity in sputum samples</title>
                <p>A total of 91,863 OTUs were recovered at a 97% sequence identity with 32,665 OTUs in the patients with moderate COPD, 40,842 OTUs in severe COPD, and 30,980 OTUs in the healthy group. A significantly lower bacterial alpha diversity (Simpson&#x2019;s and Shannon's index) was observed in moderate COPD and severe COPD samples compared to the healthy group (p&lt;0.05, ANOVA test). The Chao1 index measured the species richness within groups and exhibited no differences (p&gt;0.05) (
                    <xref ref-type="fig" rid="f1">Figure 1A</xref>). The Beta diversity represented by PCoA showed a significant difference in bacterial community clustering among the groups (p&lt;0.01, PERMANOVA test) (
                    <xref ref-type="fig" rid="f1">Figure 1B</xref>).</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>Figure 1. </label>
                    <caption>
                        <title>Bacterial diversity in sputum samples of moderate COPD, severe COPD, and healthy groups.</title>
                        <p>(A) The measures of alpha diversity indices showed a significant difference (*p &lt; 0.05 and **p &lt; 0.01, ANOVA test). (B) Principal coordinate analysis (PCoA) revealed a distinct bacterial community clustering among the groups (P&lt; 0.01, PERMANOVA). (C) Venn diagram of the core microbiota in tested samples.</p>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/158079/a354a52e-8626-49d0-ad85-576794c01de1_figure1.gif"/>
                </fig>
                <p>As the Venn diagram of the core sputum microbiota (
                    <xref ref-type="fig" rid="f1">Figure 1C</xref>) illustrates, out of the total 91863 OTUs 35.6%, 27.2%, and 26.3% OTUs were unique to severe COPD, moderate COPD, and healthy groups respectively. While 2,649 (2.9%) OTUs were shared by all three groups and 5,831 (6.3%) OTUs were shared between moderate and severe COPD groups, 4,447 (4.8%) OTUs were common for moderate COPD and healthy, and, 4,995 (5.4%) OTUs were common for severe COPD and healthy groups.</p>
            </sec>
            <sec id="sec12">
                <title>The taxonomic profiling of sputum microbiota among groups</title>
                <p>The most prevalent microbial phyla in the sputum samples of moderate COPD, severe COPD, and healthy were Firmicutes (46.3%, 35.6%, and 31.9%) followed by Bacteroidetes (20.0%, 26.8%, and 28.7%) Proteobacteria (12.9%, 17.4%, and 16.1%), Actinobacteria (14.0%, 8.5%, and 5.9%), and Fusobacteria (5.3%, 9.5%, and 13%) (
                    <xref ref-type="fig" rid="f2">Figure 2A</xref>). A significantly higher proportion of Firmicutes and Actinobacteria were present in respiratory samples from patients with moderate COPD and Proteobacteria was comparatively increased in severe COPD, whereas in healthy individuals, Bacteroidetes and Fusobacteria were present in a higher abundance compared to both COPD groups.</p>
                <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                    <label>Figure 2. </label>
                    <caption>
                        <title>The taxonomic profiling of sputum microbiota among moderate COPD, severe COPD, and healthy groups.</title>
                        <p>(A) Relative abundance at the Phyla level, (B) Relative abundance at the genus level, and (C) LEfSe analysis represent the discriminative genera among the groups (LDA&gt;2).</p>
                    </caption>
                    <graphic id="gr2" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/158079/a354a52e-8626-49d0-ad85-576794c01de1_figure2.gif"/>
                </fig>
                <p>In the cohort of patients with moderate COPD, the top five most commonly detected genera were 
                    <italic toggle="yes">Streptococcus</italic> (28.2%), 
                    <italic toggle="yes">Rothia</italic> (11.4%), 
                    <italic toggle="yes">Prevotella</italic> (8.3%), 
                    <italic toggle="yes">Porphyromonas</italic> (7.9%), and 
                    <italic toggle="yes">Gemella</italic> (6.2%). The dominant genera in severe COPD were 
                    <italic toggle="yes">Streptococcus</italic> (20.2%), 
                    <italic toggle="yes">Prevotella</italic> (11.7%), 
                    <italic toggle="yes">Porphyromonas</italic> (10.1%), 
                    <italic toggle="yes">Leptotrichia</italic> (5.9%), and 
                    <italic toggle="yes">Rothia</italic> (5.3%). In healthy individuals, 
                    <italic toggle="yes">Prevotella</italic> (16.5%) was the most prevalent genus, followed by 
                    <italic toggle="yes">Streptococcus</italic> (13.0%), 
                    <italic toggle="yes">Neisseria</italic> (7.1%), 
                    <italic toggle="yes">Fusobacteria</italic> (6.6%), and 
                    <italic toggle="yes">Velionella</italic> (6.2%). An increasing abundance of 
                    <italic toggle="yes">Streptococcus</italic> (p&lt;0.05), and 
                    <italic toggle="yes">Rothia</italic> was observed in moderate COPD samples, whereas 
                    <italic toggle="yes">Morexalla</italic> and 
                    <italic toggle="yes">Pseudomonas</italic> were relatively higher in severe COPD. Genera like 
                    <italic toggle="yes">Prevotella</italic>, and 
                    <italic toggle="yes">Fusobacteria</italic> were abundantly present in healthy individuals in comparison to moderate COPD. 
                    <xref ref-type="fig" rid="f2">Figure 2B</xref> demonstrates the top bacterial genera present in the sputum of patients with moderate or severe COPD, and healthy groups.</p>
                <p>The LEfSe analysis was performed to detect the discriminative genera among the groups (
                    <xref ref-type="fig" rid="f2">Figure 2C</xref>). In moderate COPD, six marker genera (LDA&gt;2) 
                    <italic toggle="yes">Streptococcus, Rothia, Gemella, Carnobacteriaceae, Capnocytophaga,</italic> and 
                    <italic toggle="yes">Weissella</italic> were identified. For the severe COPD, genera 
                    <italic toggle="yes">Pseudomonas</italic> and 
                    <italic toggle="yes">Leptotrichia</italic> were higher, whereas 
                    <italic toggle="yes">Fusobacterium, Bacteroidales, Peptostreptococcus, Prevotella, Porphyromonas, Alloprevotella</italic>, etc. were dominant in healthy individuals.</p>
            </sec>
        </sec>
        <sec id="sec13" sec-type="discussion">
            <title>Discussion</title>
            <p>The severity of COPD is often influenced by environmental exposures, host genetic makeup, and airway host-microbiome interactions. This study demonstrated the microbial alpha diversity of moderate and severe COPD groups decreased significantly in comparison to the healthy control group. Our findings added important evidence to the understanding of the microbial population dynamics in COPD. Su 
                <italic toggle="yes">et al.</italic> also reported a decreased bacterial diversity in the acute exacerbations of COPD compared to healthy controls, which was consistent with our findings.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> Ramsheh 
                <italic toggle="yes">et al.</italic> also found a higher Alpha diversity in healthy individuals than in COPD bronchial brush samples.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> The consistent results of these studies indicate the altered microbial diversity in COPD patients compared to healthy and its potential role as a disease marker.</p>
            <p>According to our findings, the alpha diversity of moderate COPD declined compared to the severe COPD group. However, Yang 
                <italic toggle="yes">et al.</italic> and Li 
                <italic toggle="yes">et al.</italic> did not observe any significant difference in microbial diversity between mild COPD and severe COPD groups, whereas Garcia-Nu&#x00f1;ez 
                <italic toggle="yes">et al.</italic> reported a decreased alpha diversity in advanced COPD compared to moderate-to-severe disease.
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup> This inconsistency among studies could be due to distinct sampling methods, COPD states and exacerbations, and different geographic regions.</p>
            <p>In this study, the most dominant phylum was Firmicutes, predominantly present in all the groups, in concordance with previous reports.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> In healthy controls, we observed a higher proportion of Bacteroidetes and Fusobacteria, likewise reported by Ramsheh 
                <italic toggle="yes">et al.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> Proteobacteria was present in relatively higher proportions in patients with severe COPD, which is consistent with previous studies examining bronchoalveolar lavage (BAL)
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup> and sputum
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> samples. According to Wang 
                <italic toggle="yes">et al.</italic>, the increased abundance of Proteobacteria might trigger the pro-inflammatory mediators of the host, which leads to dysbiosis of lung microbiomes.
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup>
            </p>
            <p>
                <italic toggle="yes">Streptococcus</italic> was the predominant genus among the COPD sputum samples, whereas 
                <italic toggle="yes">Prevotella</italic> was significantly higher in healthy controls. A multi-centric study reported that 
                <italic toggle="yes">Prevotella</italic> promotes normal lung function and the severity of COPD increases with its decreasing abundance.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> A lung co-infection mouse model study conducted by Horn KJ 
                <italic toggle="yes">et al.</italic> suggested that an increased abundance of airway 
                <italic toggle="yes">Prevotella</italic> can accelerate the innate immune response and rapid pathogen clearance from the lung.
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup> In the moderate COPD group, we noted a higher abundance of 
                <italic toggle="yes">Streptococcus</italic> and 
                <italic toggle="yes">Rothia</italic>, which was similar to previously published studies of COPD samples.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup> Li W 
                <italic toggle="yes">et al.</italic> also observed a higher abundance of 
                <italic toggle="yes">Rothia</italic> in the mild COPD group compared with the severe group,
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup> which was negatively correlated with pro-inflammatory markers, which might reduce the disease severity and exacerbation frequency in COPD.
                <sup>
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup> Another genus, 
                <italic toggle="yes">Morexalla</italic>, which was abundant in severe COPD samples, was likewise reported by Wang 
                <italic toggle="yes">et al.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref26">26</xref>
                </sup> and Ramsheh 
                <italic toggle="yes">et al.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> According to Wang 
                <italic toggle="yes">et al.</italic>, the relative abundance of 
                <italic toggle="yes">Moraxella</italic> increased during COPD exacerbations and was also linked to the host interferon signaling pathway.
                <sup>
                    <xref ref-type="bibr" rid="ref26">26</xref>
                </sup> Ramsheh 
                <italic toggle="yes">et al.</italic> revealed that an increased abundance of 
                <italic toggle="yes">Moraxella</italic> was associated with the expression of the IL-17 and TNF inflammatory pathways, which elicit the severity of COPD.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> These studies indicate that patients might suffer an altered lung microbial diversity during COPD disease severity, which means microbiota is a potential marker to predict the prognosis in COPD cases and may change the disease management.</p>
            <p>There are a few limitations of our study. First, the population size of this study was small and the samples were collected from a single center. Second, the virome and mycobiome diversity of sputum were not evaluated. Future multi-centre studies in larger diverse populations are required to conclude the stability and alteration of microbiota in health and disease.</p>
        </sec>
        <sec id="sec14" sec-type="conclusions">
            <title>Conclusions</title>
            <p>Our findings suggested a significant loss of the sputum microbiome diversity in patients with COPD. This decrease is more pronounced in patients with severe disease. The dysbiosis of lung microbiota may cause an alteration of the mucosal immune system and further facilitate inflammation in the lung. Therefore, the improved understanding of the link between the respiratory microbiome and disease may offer new opportunities for an alternative management approach for COPD.</p>
        </sec>
        <sec id="sec15">
            <title>Author contributions</title>
            <p>Conceptualization: D.H., K. C.; Methodology: D. H., R. M., K. C.; Data analysis: F. SM., D. H., E. M.; Writing - original draft preparation: D. H.; Writing - review and editing: K. C., V. S., F. SM., N. S.; Supervision: K. C., V. S.</p>
        </sec>
    </body>
    <back>
        <sec id="sec18" sec-type="data-availability">
            <title>Data availability statement</title>
            <sec id="sec19">
                <title>Underlying data</title>
                <p>Zenodo: Sequenced Data COPD and healthy, 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.7697770">https://doi.org/10.5281/zenodo.7697770</ext-link>.
                    <sup>

                        <xref ref-type="bibr" rid="ref27">27</xref>
</sup>
                </p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International license</ext-link> (CC-BY 4.0).</p>
            </sec>
        </sec>
        <ack>
            <title>Acknowledgments</title>
            <p>The authors gratefully acknowledge the Indian Council of Medical Research (ICMR) for providing a Senior Research Fellowship (SRF) for the study.</p>
        </ack>
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    <sub-article article-type="reviewer-report" id="report218779">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.158079.r218779</article-id>
            <title-group>
                <article-title>Reviewer response for version 4</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Monso</surname>
                        <given-names>Eduard</given-names>
                    </name>
                    <xref ref-type="aff" rid="r218779a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r218779a1">
                    <label>1</label>Airway Inflammation Research Group, Parc Taul&#x00ed; Research and Innovation Institute - I3PT - Parc Taul&#x00ed; Foundation, Barcelona, Spain</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>3</day>
                <month>11</month>
                <year>2023</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Monso E</copyright-statement>
                <copyright-year>2023</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport218779" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.132220.4"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The authors have introduced all required changes and specifications. The current version of the manuscript is approved from my side.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Respiratory diseases / COPD / Lung Cancer / Respiratory microbiome</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report212696">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.157003.r212696</article-id>
            <title-group>
                <article-title>Reviewer response for version 3</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Monso</surname>
                        <given-names>Eduard</given-names>
                    </name>
                    <xref ref-type="aff" rid="r212696a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r212696a1">
                    <label>1</label>Airway Inflammation Research Group, Parc Taul&#x00ed; Research and Innovation Institute - I3PT - Parc Taul&#x00ed; Foundation, Barcelona, Spain</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>24</day>
                <month>10</month>
                <year>2023</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Monso E</copyright-statement>
                <copyright-year>2023</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport212696" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.132220.3"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>reject</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The authors have addressed satisfactorily the questions raised. The have specified that the samples of COPD patients had been obtained at admission for an exacerbation before the use of any antibiotic. Then, it is clear that they are assessing exacerbation samples, that were compared among them according with the severity pattern, and compared also with samples from healthy subjects. This is important because the title suggests that the authors are studying samples from COPD in stable situation. I think that it would be necessary to specify in the title that the authors are focusing on COPD patients in exacerbation, not in stability, to avoid misunderstandings.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Respiratory diseases / COPD / Lung Cancer / Respiratory microbiome</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report192939">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.153873.r192939</article-id>
            <title-group>
                <article-title>Reviewer response for version 2</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Monso</surname>
                        <given-names>Eduard</given-names>
                    </name>
                    <xref ref-type="aff" rid="r192939a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r192939a1">
                    <label>1</label>Airway Inflammation Research Group, Parc Taul&#x00ed; Research and Innovation Institute - I3PT - Parc Taul&#x00ed; Foundation, Barcelona, Spain</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>1</day>
                <month>9</month>
                <year>2023</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Monso E</copyright-statement>
                <copyright-year>2023</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport192939" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.132220.2"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>reject</meta-value>
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            </custom-meta-group>
        </front-stub>
        <body>
            <p>The authors have addressed satisfactorily most of the corrections pointed in the previous review. However, there are a couple of them that still need to be managed.</p>
            <p> </p>
            <p> 1.- (Introduction) The sentence "
                <italic>Although a high heterogeneity has been observed among the studies, potentially attributed to the&#x00a0;underlying health conditions in different populations and the dynamics of microbial ecology in the COPD Indian&#x00a0;population, it remains poorly understood</italic>" is misspelled, and needs to be corrected.</p>
            <p> </p>
            <p> 2.- (Results) The sentence "
                <italic>At the time of sampling, all COPD patients were in an exacerbated state of the disease and no&#x00a0;significant growth of respiratory pathogens was detected in the sputum cultures</italic>" specifies that the patients are exacerbated, but the study is restricted to patients that have not used antibiotics recently, suggesting that all them must be stable. This is a main point, because the paper is presented as a stability study. However, is part of the patients were exacerbated the results would be more difficult to be interpreted. This point needs to be clearly specified, and the upper sentence corrected, if misspelled.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Respiratory diseases / COPD / Lung Cancer / Respiratory microbiome</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above.</p>
        </body>
        <sub-article article-type="response" id="comment10162-192939">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Chawla</surname>
                            <given-names>Kiran</given-names>
                        </name>
                        <aff>Microbiologt, Manipal Academy of Higher Education, Manipal, Karnataka, India</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>We declare no competing interests.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>4</day>
                    <month>9</month>
                    <year>2023</year>
                </pub-date>
            </front-stub>
            <body>
                <p>We value your kind suggestions and thank you for your valuable input.</p>
                <p> 
                    <bold>Query 1</bold>: &#x00a0;(Introduction) The sentence "Although a high heterogeneity has been observed among the studies, potentially attributed to the underlying health conditions in different populations and the dynamics of microbial ecology in the COPD Indian population, it remains poorly understood" is misspelled, and needs to be corrected.</p>
                <p> </p>
                <p> 
                    <bold>Response:</bold>&#x00a0;For a better understanding of this sentence, we can split the sentence into the following</p>
                <p> &#x201c;A high heterogeneity has been observed among these studies, potentially attributed to the health conditions in different study populations. However, the changes in microbial ecology in the COPD Indian population still remain unclear.&#x201d;</p>
                <p> </p>
                <p> 
                    <bold>Query 2:</bold>&#x00a0;(Results) The sentence "At the time of sampling, all COPD patients were in an exacerbated state of the disease and no significant growth of respiratory pathogens was detected in the sputum cultures" specifies that the patients are exacerbated, but the study is restricted to patients that have not used antibiotics recently, suggesting that all them must be stable. This is a main point because the paper is presented as a stability study. However, is part of the patients were exacerbated the results would be more difficult to be interpreted.</p>
                <p> </p>
                <p> 
                    <bold>Response:&#x00a0;</bold>The enrolled participants were the known cases of COPD, admitted to our hospital for the management of their latest or new exacerbation state. After the collection of sputum samples, patients were given the proper medical management/antibiotics based on the severity of the COPD.</p>
                <p> We would like to clarify that in our study, we excluded the patients with a prior history of antibiotics for 4 weeks before the sample collection because, in our tertiary care hospital, many patients come after getting initial antibiotic treatment from the primary health-care centers.</p>
                <p> </p>
                <p> We hope we are able to clarify your concerns and look for your positive response.</p>
            </body>
        </sub-article>
        <sub-article article-type="response" id="comment10332-192939">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Chawla</surname>
                            <given-names>Kiran</given-names>
                        </name>
                        <aff>Microbiologt, Manipal Academy of Higher Education, Manipal, Karnataka, India</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>We declare no competing interests</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>3</day>
                    <month>10</month>
                    <year>2023</year>
                </pub-date>
            </front-stub>
            <body>
                <p>Dear Reviewer,</p>
                <p> We value your suggestions and thank you for your valuable input.</p>
                <p> </p>
                <p> 
                    <bold>Response to query 1</bold>: To better understand this sentence, we have split the sentence into the following &#x201c;A high heterogeneity has been observed among these studies, potentially attributed to the underlying health conditions of selected populations and geographical variations.&#x00a0; However, the changes in the sputum microbial profile in the Indian population with COPD are not well understood.&#x201d;</p>
                <p> </p>
                <p> 
                    <bold>Response to query 2:</bold> The enrolled participants were the known cases of COPD, admitted to our hospital to manage their latest or new exacerbation state. After the collection of sputum samples, patients were given the proper medical management/antibiotics based on the severity of the COPD.</p>
                <p> </p>
                <p> We want to clarify that in our study, we excluded the patients with a prior history of antibiotics for 4 weeks before the sample collection. Because, in our tertiary care hospital, many patients come after getting initial antibiotics.</p>
            </body>
        </sub-article>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report182958">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.145128.r182958</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Ueckermann</surname>
                        <given-names>Veronica</given-names>
                    </name>
                    <xref ref-type="aff" rid="r182958a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-4419-3583</uri>
                </contrib>
                <aff id="r182958a1">
                    <label>1</label>Department of Internal Medicine, University of Pretoria, Pretoria, Gauteng, South Africa</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>28</day>
                <month>7</month>
                <year>2023</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Ueckermann V</copyright-statement>
                <copyright-year>2023</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport182958" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.132220.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The manuscript explores loss of microbial diversity in the sputum samples of patients with moderate and severe COPD, and compares the results with a healthy control group. The healthy control group included some smokers and the study population was dominated by males.</p>
            <p> </p>
            <p> The methodology was well described and both the methods and analysis were appropriate for work in the lung microbiome. The quality of the sputum samples voluntary produced were not discussed and a degree of oropharyngeal contamination is likely.</p>
            <p> </p>
            <p> Findings are consistent with previously published work and highlight once again signals of dysbiosis in the lung microbiome of patients with COPD. Had the sample size allowed, a comparison between current and previous smokers may have provided additional insights.&#x00a0;&#x00a0;</p>
            <p> </p>
            <p> The limitations of the study were acknowledged - both the small sample size and the fact that the virome (which is becoming increasingly important in COPD) was not evaluated.&#x00a0;&#x00a0;</p>
            <p> </p>
            <p> Although the findings of the study were not completely novel, the differences by disease severity was interesting and the study does add to a growing body of literature that enhances the understanding of the lung microbiome in respiratory disease. The methodology was sound and the discussion well written.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>No</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Infectious diseases, Critical care, lung microbime, Tuberculosis</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report175709">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.145128.r175709</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Monso</surname>
                        <given-names>Eduard</given-names>
                    </name>
                    <xref ref-type="aff" rid="r175709a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r175709a1">
                    <label>1</label>Airway Inflammation Research Group, Parc Taul&#x00ed; Research and Innovation Institute - I3PT - Parc Taul&#x00ed; Foundation, Barcelona, Spain</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>20</day>
                <month>7</month>
                <year>2023</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Monso E</copyright-statement>
                <copyright-year>2023</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport175709" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.132220.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>reject</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The authors described the respiratory microbiome in healthy subjects and COPD patients with different levels of severity, confirming with their study the characteristics of the COPD microbiome previously reported in other communities. The main value of the paper, accordingly, is the analysis of a community living in a specific geographic area, not previously focused. There are some concerns that need to be raised, however, as followed. 
                <list list-type="order">
                    <list-item>
                        <p>The title state that the study focus on the lung microbiome dynamics. However, considering that the studied sample is the sputum, it can only be representative of the bronchial microbiome, not the lung. Furthermore, because there has been a single sampling in the studied population, the study cannot be considered "dynamic".</p>
                    </list-item>
                    <list-item>
                        <p>In the description of the features of the study participants, it is said that they are exacerbated. I think that this is a typewriting mistake, because all the text suggests that the participants are stable (they have not used antibiotics the previous months).</p>
                    </list-item>
                    <list-item>
                        <p>In the table, moderate COPD patients have an average FEV1/FVC of 90. If that is the case, most of them do not suffer from COPD, and probably have only chronic bronchitis. This is a main point that needs to be clarified.</p>
                    </list-item>
                    <list-item>
                        <p>The comparisons would have been much more clear if all COPD patients are compared with healthy subjects, and later, excluding healthy subjects, severe and moderate COPD patients were compared.&#x00a0;</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Respiratory diseases / COPD / Lung Cancer / Respiratory microbiome</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above.</p>
        </body>
        <sub-article article-type="response" id="comment9957-175709">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Chawla</surname>
                            <given-names>Kiran</given-names>
                        </name>
                        <aff>Microbiologt, Manipal Academy of Higher Education, Manipal, Karnataka, India</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>No competing interests.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>26</day>
                    <month>7</month>
                    <year>2023</year>
                </pub-date>
            </front-stub>
            <body>
                <p>
                    <bold>Response to the Reviewer Comments:</bold>
                </p>
                <p> </p>
                <p> 
                    <bold>Query 1.</bold> The title state that the study focus on the lung microbiome dynamics. However, considering that the studied sample is the sputum, it can only be representative of the bronchial microbiome, not the lung. Furthermore, because there has been a single sampling in the studied population, the study cannot be considered "dynamic".</p>
                <p> 
                    <bold>Response:</bold>&#x00a0;Thank you for your valuable suggestions. In this study, we characterized sputum, an easily obtainable non-invasive sampling method that represents a mix of upper and lower respiratory tracts, used for routine diagnosis of lower-respiratory tract infection.</p>
                <p> The term dynamics have been used here to refer to the changes in microbiome composition among the groups</p>
                <p> </p>
                <p> 
                    <bold>Query 2.</bold> In the description of the features of the study participants, it is said that they are exacerbated. I think that this is a typewriting mistake, because all the text suggests that the participants are stable (they have not used antibiotics the previous months).</p>
                <p> 
                    <bold>Response:</bold> The enrolled participants were the known cases of COPD, admitted to our hospital for the management of the latest exacerbation state, and a sample was collected before administrating antibiotics. So the patients have not used antibiotics in the previous months. Also, one of our exclusion criteria is antibiotic usage within four weeks prior to sample collection since antibiotics can alter the microbiome compositions.&#x00a0;</p>
                <p> </p>
                <p> 
                    <bold>Query 3.</bold> In the table, moderate COPD patients have an average FEV1/FVC of 90. If that is the case, most of them do not suffer from COPD, and probably have only chronic bronchitis. This is a main point that needs to be clarified.</p>
                <p> 
                    <bold>Response: </bold>Thank you, Sir, for mentioning this point. This was a typewriting error, which we didn&#x2019;t notice earlier. We rechecked our data and there was an error in that particular row of that table. It should be the moderate COPD average FEV1/FVC was 64.7 &#x00b1; 5.6 and Severe COPD 61 &#x00b1; 7.4</p>
                <p> </p>
                <p> 
                    <bold>Query 4.&#x00a0;</bold>The comparisons would have been much more clear if all COPD patients are compared with healthy subjects, and later, excluding healthy subjects, severe and moderate COPD patients were compared.</p>
                <p> 
                    <bold>Response:</bold> We compared the sputum microbiome in healthy, severe, and moderate COPD patients as per the objective. We admire your valuable suggestions and we will consider them for our future studies.</p>
            </body>
        </sub-article>
    </sub-article>
</article>
