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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2022.1038876</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The associations of maternal and children&#x2019;s gut microbiota with the development of atopic dermatitis for children aged 2 years</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Fan</surname>
<given-names>Xiaoxiao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zang</surname>
<given-names>Tianzi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Dai</surname>
<given-names>Jiamiao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Ni</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hope</surname>
<given-names>Chloe</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bai</surname>
<given-names>Jinbing</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/99440"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liu</surname>
<given-names>Yanqun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1721573"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Wuhan University School of Nursing, Wuhan University</institution>, <addr-line>Wuhan</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Emory University Nell Hodgson Woodruff School of Nursing</institution>, <addr-line>Atlanta, GA</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: St&#xe9;phane Ranque, Aix-Marseille Universit&#xe9;, France</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Joana Vitte, INSERM UMRUA11 Institut Desbrest d&#x2019;&#xc9;pid&#xe9;miologie et de Sant&#xe9; Publique (IDESP), France; Kirsi Jarvinen-Seppo, University of Rochester, United States; Carina Venter, University of Colorado, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Yanqun Liu, <email xlink:href="mailto:liuyanqun1984@163.com">liuyanqun1984@163.com</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Microbial Immunology, a section of the journal Frontiers in Immunology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>17</day>
<month>11</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>1038876</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>09</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>11</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Fan, Zang, Dai, Wu, Hope, Bai and Liu</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Fan, Zang, Dai, Wu, Hope, Bai 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>Background</title>
<p>It is critical to investigate the underlying pathophysiological mechanisms in the development of atopic dermatitis. The microbiota hypothesis suggested that the development of allergic diseases may be attributed to the gut microbiota of mother-offspring pairs. The purpose of this study was to investigate the relationship among maternal-offspring gut microbiota and the subsequent development of atopic dermatitis in infants and toddlers at 2 years old.</p>
</sec>
<sec>
<title>Methods</title>
<p>A total of 36 maternal-offspring pairs were enrolled and followed up to 2 years postpartum in central China. Demographic information and stool samples were collected perinatally from pregnant mothers and again postpartum from their respective offspring at the following time intervals: time of birth, 6 months, 1 year and 2 years. Stool samples were sequenced with the 16S Illumina MiSeq platform. Logistic regression analysis was used to explore the differences in gut microbiota between the atopic dermatitis group and control group.</p>
</sec>
<sec>
<title>Results</title>
<p>Our results showed that mothers of infants and toddlers with atopic dermatitis had higher abundance of <italic>Candidatus_Stoquefichus</italic> and <italic>Pseudomonas</italic> in pregnancy and that infants and toddlers with atopic dermatitis had higher abundance of <italic>Eubacterium_xylanophilum_group</italic> at birth, <italic>Ruminococcus_gauvreauii_group</italic> at 1 year and <italic>UCG-002</italic> at 2 years, and lower abundance of <italic>Gemella</italic> and <italic>Veillonella</italic> at 2 years. Additionally, the results demonstrated a lower abundance of <italic>Prevotella</italic> in mothers of infants and toddlers with atopic dermatitis compared to mothers of the control group, although no statistical difference was found in the subsequent analysis.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The results of this study support that gut microbiota status among mother-offspring pairs appears to be associated with the pathophysiological development of pediatric atopic dermatitis.</p>
</sec>
</abstract>
<kwd-group>
<kwd>gut microbiota</kwd>
<kwd>atopic dermatitis</kwd>
<kwd>eczema</kwd>
<kwd>pregnancy</kwd>
<kwd>offspring</kwd>
</kwd-group>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<counts>
<fig-count count="5"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="50"/>
<page-count count="14"/>
<word-count count="6348"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>There has been an increased incidence in allergic diseases, including allergic asthma, allergic rhinitis, and food allergies in the last 40 years (<xref ref-type="bibr" rid="B1">1</xref>). Atopic dermatitis is defined as chronic inflammatory disease of the integumentary system characterized by recurring symptoms, including pruritus, dryness, peeling, blistering, bleeding, and risk for secondary bacterial infection (<xref ref-type="bibr" rid="B2">2</xref>). Epidemiological survey has reported 60% of atopic dermatitis occurs in the first year of life (infantile eczema) (<xref ref-type="bibr" rid="B3">3</xref>). Previous study (<xref ref-type="bibr" rid="B4">4</xref>) indicated that the prevalence of atopic dermatitis in children was as high as 30%. In China, the prevalence of atopic dermatitis in infants was estimated as 64.8% (<xref ref-type="bibr" rid="B5">5</xref>). Furthermore, the literature indicated that atopic dermatitis may present as an initial manifestation of an underlying allergic disease process in infants and toddlers. Of note, up to 80% of infants and toddlers diagnosed with atopic dermatitis eventually develop allergic rhinitis or asthma later in childhood (<xref ref-type="bibr" rid="B6">6</xref>). Therefore, it is imperative to identify factors that may influence the pathophysiological development of pediatric atopic dermatitis.</p>
<p>Epidemiological studies have identified a number of environmental risk factors that may play a role in the development of atopic dermatitis, such as mode of delivery, breastfeeding status, urban living factors, pet exposure, tobacco exposure, antibiotic therapy and dietary habits (<xref ref-type="bibr" rid="B7">7</xref>). Recent research surrounding the &#x201c;microbiota hypothesis&#x201d; has acquired increased attention suggesting that allergic processes may stem from an underlying imbalance within the gut microbiota (<xref ref-type="bibr" rid="B8">8</xref>). Prior studies indicated that the composition of the gut microbiota was an important factor in the normal development of immune system functioning (<xref ref-type="bibr" rid="B9">9</xref>) and that certain gut microbiota and microbial metabolites may promote the production of regulatory peripheral T cells, providing a protective effect against inflammatory processes that drive allergic and autoimmune disease processes (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>). Moreover, these studies indicate that gut microbiota is an important regulator in the pathogenesis of atopic dermatitis (<xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>Low diversity of gut microbiota and alternative gut microbial composition were associated with the development of atopic dermatitis in infants and toddlers compared to healthy children (<xref ref-type="bibr" rid="B16">16</xref>). Children with atopic dermatitis exhibit a higher abundance of <italic>Bacillariophyceae, Clostridium</italic> and <italic>Enterobacteriaceae</italic>, and a lower relative abundance of <italic>Bifidobacterium and Lactobacillus</italic> (<xref ref-type="bibr" rid="B16">16</xref>). Wang et&#xa0;al. (<xref ref-type="bibr" rid="B15">15</xref>) found that a decrease in gut microbiota diversity at one week of age was strongly associated with developing atopic dermatitis within the first 18 months of life postpartum. Recently, studies (<xref ref-type="bibr" rid="B17">17</xref>&#x2013;<xref ref-type="bibr" rid="B19">19</xref>) also revealed that the maternal gut microbiota during pregnancy was crucial in the development of healthy infantile immune system functioning. Lange et&#xa0;al. (<xref ref-type="bibr" rid="B20">20</xref>) reported that higher counts of maternal total <italic>aerobes</italic> and <italic>Enterococci</italic> were associated with an increased risk for asthma-like symptoms among infants. Comprehensive analysis of both the maternal and offspring&#x2019;s gut microbiota may provide insight into establishing key biomarkers for the prediction of subsequent pediatric allergic disease states, including atopic dermatitis, within the first two years of life postpartum. Interpretation of these results may provide a fulcrum on which the development of target-specific pharmaceutical therapies and interventions hinge upon.</p>
<p>However, some inconsistencies were noted regarding the role of gut microbiota in the development of atopic dermatitis in infants and toddlers, which may be explained by time discrepancies in stool sample collection, variable microbiological profiling methods, and poor control of potential confounding variables that may indirectly affect gut microbiota composition (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B16">16</xref>). Currently, many studies exploring the relationship between gut microbiota and atopic dermatitis are cross-sectional studies with a tendency toward reverse causality, including changes in microbiota composition due to disease manifestations. Few studies have included longitudinal cohort studies linking infant microbiota status to the subsequent development of pediatric atopic dermatitis (<xref ref-type="bibr" rid="B21">21</xref>). Additionally, previous literature on the gut microbiota and allergic diseases have solely focused on the postnatal period, but recent findings suggest that maternal gut microbiota status during pregnancy plays a pivotal role in fetal immune development (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>) and may drive the evolution of allergic diseases in respective offspring (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B24">24</xref>).</p>
<p>There remain few relevant population studies to investigate the important relationship between maternal gut microbiota during pregnancy and the risk for infantile atopic dermatitis. Therefore, this study was a 2-year prospective cohort study to investigate the relationships between maternal-offspring&#x2019;s gut microbiota during pregnancy and the subsequent risk for development of atopic dermatitis in offspring up to two years postpartum.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Study design and participants</title>
<p>This was a prospective cohort study. Sixty-two pregnant women were recruited from March 2017 to November 2017 in Central China and followed until two years of age. The inclusion criteria were (1): pregnant women in the third trimester, (2) pregnant women who planned to give birth in a tertiary hospital in central China, and (3) pregnant women without pregnancy complications. The exclusion criteria were: (1) pregnant women receiving antibiotic treatment, and (2) those with cognitive impairment. A total of 62 pregnant women were recruited in our study, and 21 mother-offspring pairs could not be reached by phone or email at follow-up, leaving 41 mother-offspring pairs in this cohort. Of these 41 mother-offspring pairs, one infant had asthma and four participants of sample were not collected at 6 months, 1 year, or 2 years, therefore, 36 participants were included in the final analysis of this study. This study was approved by the Research Ethics Boards of Medical School of Wuhan University (JKHL2017-03-03). Informed consent was obtained for all participants.</p>
</sec>
<sec id="s2_2">
<title>Variables and measures</title>
<p>At the time of recruitment, pregnant women in the third trimester completed a demographic questionnaire and diet questionnaire. Newborn general demographic data, including gender, height, weight, and mode of delivery, were obtained <italic>via</italic> hospital medical records at the time of birth. Moreover, data collection was performed regarding pertinent perinatal and postnatal environmental exposures, including alcohol exposure, pet dander exposure, feeding modalities, and use of antibiotics up to postpartum two years.</p>
<p>Stool samples were collected perinatally from pregnant women in the third trimester and again postpartum from their respective offspring at the following time intervals: time of birth, 6 months, 1 year, and 2 years. Sample collection was performed by trained personnel at the participant&#x2019;s home. Samples obtained consisted of formed stool or residual fecal matter collected from infant diapers in accordance to the Human Microbiota Project (HMP) protocol. Following immediate collection, all stool samples were transported to the laboratory in an incubator (+4 &#xb0;C) and then were stored at -80 &#xb0;C in a freezer at our laboratory. DNA extraction, polymerase chain reaction (PCR) amplification, and Illumina MiSeq sequencing about stool samples have been elaborated on our previous study (<xref ref-type="bibr" rid="B25">25</xref>). The V3-V4 highly variable region of the bacterial 16S rRNA gene was amplified with primers 338F (5&#x2019;-ACTCCTACGGGAGGCAGCAG-3&#x2019;) and 806R (5&#x2019; - ggactachvgggtwtctaat -3&#x2019;) by a thermocycling PCR system (GeneAmp 9700, ABI, Walthma, MA, USA).</p>
<p>In this study, pediatrician used the Williams&#x2019; criteria (<xref ref-type="bibr" rid="B26">26</xref>) for the diagnosis of atopic dermatitis in infants and toddlers between the ages of 1 and 2 years. The Williams&#x2019; criteria were as follows: primary criteria: pruritus; secondary criteria: (1) history of flexor side dermatitis eczema, including elbow fossa, rouge fossa, anterior ankle, and neck (children under 10 years old including buccal rash); (2) history of asthma or allergic rhinitis (or history of atopic disease in first-degree relatives of children under 4 years of age); (3) history of dry skin all over the body in recent years; (4) presence of flexor side eczema (eczema of the cheeks/forehead and extremities in children under 4 years of age); (5) onset before 2 years of age (for patients over 4 years of age). Atopic dermatitis was diagnosed when there was pruritus with three or more secondary criteria in infants and toddlers.</p>
</sec>
<sec id="s2_3">
<title>Statistical analysis</title>
<p>Descriptive statistics were used to summarize the general demographic characteristics of all participants. Mean (standard deviation [SD]) was used for continuous variables and frequency (%) was implemented for categorical variables. Independent t-tests, Mann-Whitney U test, Chi-square test and Fisher exact tests were utilized to compare the relationship between variables, including demographics, environmental factors and diet during pregnancy and the subsequent risk for development of atopic dermatitis in infants and toddlers.</p>
<p>For the microbiota data, raw 16S rRNA sequencing data were spliced together, with quality control and filtering conducted by FLASH (<uri xlink:href="https://ccb.jhu.edu/software/FLASH/index.shtml">https://ccb.jhu.edu/software/FLASH/index.shtml</uri>). The UPARSE version 7.0.1090 (<uri xlink:href="http://drive5.com/uparse/">http://drive5.com/uparse/</uri>) was used to cluster the smallest operational classification units (OTUs) based on highly similar sequences (&gt;97%). Chimeric sequences were identified and removed using UCHIME in the process of clustering. The RDP classifier bayesian algorithm version 2.11 (<uri xlink:href="http://sourceforge.net/projects/rdp-classifier/">http://sourceforge.net/projects/rdp-classifier/</uri>) was used on the QIIME (QIIME version 1.9.1) platform for classification analysis of representative sequences of OTUs from the sliva138/16S bacterial classification database with a default confidence threshold of 0.7. Core species analysis was used to indicate that the sample size was sufficient (<xref ref-type="bibr" rid="B27">27</xref>). The fecal alpha diversity among the two groups was evaluated <italic>via</italic> Sobs, Shannon and Simpson indices. Principal coordinates analysis (PCoA) based on Bray-Curtis distance matrix was used to evaluate the beta diversity at the OTU level, and analysis of similarities (ANOSIM) was used to compare differences in beta diversity between groups. Wilcoxon rank-sum test was used to analyze the difference between the two groups for phylum and genus. After adjusting confounders (mothers: maternal age, mother&#x2019;s educational level, alcohol intake during pregnancy and frequency of maternal soy products consumption; infants and toddlers: mode of delivery, breastfeeding mode, maternal alcohol intake during breastfeeding, antibiotics exposure and pet exposure), logistics regression analysis was used to further explore the differential genera among atopic dermatitis and control groups.</p>
<p>The p-values for multiple analyses were adjusted using the Benjamini-Hochberg false discovery rate (FDR). The significant level and FDR threshold were both at 0.05. SPSS 23.0 (IBM, Chicago, IL, USA) and R 4.0.2. were used for all data analyses.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>General characteristics and factors affecting the development of atopic dermatitis</title>
<p>Characteristics and medical history of the mother and offspring pairs were displayed in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. Mean age of the pregnant women was 29.83 (SD = 3.14) years. More than half of the pregnant women for both groups had a bachelor&#x2019;s degree or higher. Infants of both groups were full-term with a mean weight of 3.40 (SD = 0.36) kg and a mean height of 50.41 (SD = 1.35) cm. The cesarean delivery rate was 61.1%, with a breastfeeding rate of 58.3% for the first 6 months postpartum. Comparatively, although there was no significant different of breastfeeding between control group and the atopic dermatitis group, the breastfeeding rate for the atopic dermatitis group was lower than that of the control group (30.8% vs. 69.2%). There were no statistical differences in baseline characteristics of the mother and offspring among atopic dermatitis and control groups. The results did not demonstrate any significant associations between environmental variables, diet during pregnancy, and subsequent risk of atopic dermatitis in infants and toddlers (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> and <xref ref-type="supplementary-material" rid="SM6">
<bold>Supplemental Table&#xa0;1</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Demographic and environmental variables characteristics of the participants.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Characteristics</th>
<th valign="top" align="center"/>
<th valign="top" colspan="2" align="center">Atopic dermatitis</th>
<th valign="top" align="center">P value</th>
</tr>
<tr>
<th valign="top" align="center">
</th>
<th valign="top" align="center">All</th>
<th valign="top" align="center">No (n=26)</th>
<th valign="top" align="center">Yes (n=10)</th>
<th valign="top" align="center">
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" colspan="5" align="left">
<bold>Demographic variables</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Mother&#x2019;s age (years)*</td>
<td valign="top" align="center">29.83 &#xb1; 3.14</td>
<td valign="top" align="center">29.42 &#xb1; 2.64</td>
<td valign="top" align="center">30.90 &#xb1; 4.15</td>
<td valign="top" align="center">0.211</td>
</tr>
<tr>
<td valign="top" align="left">Mother&#x2019;s educational level</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;college degree or below</td>
<td valign="top" align="center">12 (33.3%)</td>
<td valign="top" align="center">8 (34.8%)</td>
<td valign="top" align="center">4 (40.0%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;bachelor&#x2019;s degree</td>
<td valign="top" align="center">20 (55.6%)</td>
<td valign="top" align="center">14 (60.9%)</td>
<td valign="top" align="center">6 (60.0%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;master degree or above</td>
<td valign="top" align="center">1 (2.8%)</td>
<td valign="top" align="center">1 (4.3%)</td>
<td valign="top" align="center">0 (0%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Gestational age (weeks)*</td>
<td valign="top" align="center">39.4 &#xb1; 0.914</td>
<td valign="top" align="center">39.40 &#xb1; 0.87</td>
<td valign="top" align="center">39.40 &#xb1; 1.08</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">Gender of the infant</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.454</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female</td>
<td valign="top" align="center">25 (69.4%)</td>
<td valign="top" align="center">19 (73.1%)</td>
<td valign="top" align="center">6 (60.0%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male</td>
<td valign="top" align="center">11 (30.6%)</td>
<td valign="top" align="center">7 (26.9%)</td>
<td valign="top" align="center">4 (40.0%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Birth Weight of the infant (kg)*</td>
<td valign="top" align="center">3.40 &#xb1; 0.36</td>
<td valign="top" align="center">3.38 &#xb1; 0.39</td>
<td valign="top" align="center">3.47 &#xb1; 0.27</td>
<td valign="top" align="center">0.481</td>
</tr>
<tr>
<td valign="top" align="left">Birth Height of the infant (cm)*</td>
<td valign="top" align="center">50.41 &#xb1; 1.35</td>
<td valign="top" align="center">50.50 &#xb1; 1.44</td>
<td valign="top" align="center">50.20 &#xb1; 1.13</td>
<td valign="top" align="center">0.565</td>
</tr>
<tr>
<td valign="top" align="left">The infant is the first child</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.673</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="center">25 (69.4%)</td>
<td valign="top" align="center">18 (78.3%)</td>
<td valign="top" align="center">7 (70.0%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="center">8 (22.2%)</td>
<td valign="top" align="center">5 (21.7%)</td>
<td valign="top" align="center">3 (30.0%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" colspan="5" align="left">
<bold>Environmental variables</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Mode of delivery</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.462</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Cesarian section</td>
<td valign="top" align="center">22 (61.1%)</td>
<td valign="top" align="center">17 (65.4%)</td>
<td valign="top" align="center">5 (50.0%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Vaginal</td>
<td valign="top" align="center">14 (38.9%)</td>
<td valign="top" align="center">9 (34.6%)</td>
<td valign="top" align="center">5 (50.0%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Breastfeeding in first 6 months</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.058</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="center">21 (58.3%)</td>
<td valign="top" align="center">18 (69.2%)</td>
<td valign="top" align="center">3 (30.0%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="center">15 (41.7%)</td>
<td valign="top" align="center">8 (30.8%)</td>
<td valign="top" align="center">7 (70.0%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Alcohol intake during pregnancy</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.193</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="center">9 (25.0%)</td>
<td valign="top" align="center">5 (19.2%)</td>
<td valign="top" align="center">4 (40.0%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="center">27 (75.0%)</td>
<td valign="top" align="center">21 (80.8%)</td>
<td valign="top" align="center">6 (60.0%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Alcohol intake during breastfeeding</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.658</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="center">8 (22.2%)</td>
<td valign="top" align="center">5 (19.2%)</td>
<td valign="top" align="center">3 (30.0%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="center">28 (77.8%)</td>
<td valign="top" align="center">21 (80.8%)</td>
<td valign="top" align="center">7 (70.0%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Antibiotics using in the first 6 months</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.269</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="center">8 (22.2%)</td>
<td valign="top" align="center">7(26.9%)</td>
<td valign="top" align="center">1 (10.0%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="center">28 (77.8%)</td>
<td valign="top" align="center">19 (73.1%)</td>
<td valign="top" align="center">9(90.0%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Antibiotics using in the first 1 years</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.092</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="center">19 (52.8%)</td>
<td valign="top" align="center">16 (61.5%)</td>
<td valign="top" align="center">3 (30.0%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="center">17 (47.2%)</td>
<td valign="top" align="center">10 (38.5%)</td>
<td valign="top" align="center">7 (70.0%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Antibiotics using in the first 2 years</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.269</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="center">26 (72.2%)</td>
<td valign="top" align="center">20 (76.9%)</td>
<td valign="top" align="center">6 (60.0%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="center">10 (27.8%)</td>
<td valign="top" align="center">6 (23.1%)</td>
<td valign="top" align="center">4 (40.0%)</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data marked with * are presented as mean (standard deviation), all others are presented as frequency (%);</p>
</fn>
<fn>
<p>Continuous and categorical variables were compared between the two groups using independent t-test and chi-square test or Fisher&#x2019;s exact test, respectively.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Descriptions of the gut microbiota and changes of maternal and children&#x2019;s gut microbiota</title>
<p>In total, 7,976,645 high-quality reads were obtained from the 169 stool samples. These reads were clustered into 2,673 OTUs. The flatness of the core species curve indicated that the sequencing sample size was sufficient (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplemental Figure&#xa0;1</bold>
</xref>).</p>
<p>We conducted a within-group comparison of alpha diversity and beta diversity in infants and toddlers and their mothers in the atopic dermatitis groups and control group, respectively. The results showed that alpha diversity (Sobs, Shannon and Simpson indices) of infants and toddlers increased with age and the trends were similar in both groups (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> and <xref ref-type="supplementary-material" rid="SM2">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>). It was found that in the control group, Sobs index was higher in infants at birth and lower at 6 months and 1 year in infants and toddlers compared to maternal Sobs index (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). In addition, in the atopic dermatitis group, Sobs index was higher at birth and lower at 6 months compared to maternal Sobs index (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). The results also revealed significant differences in beta diversity in the control group (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>) or in the atopic dermatitis group (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>) among different ages, and the maternal community composition was similar to the infants&#x2019; community composition at birth, while the maternal community composition was significantly different from that of infants and toddlers at 6 months, 1 year and 2 years (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>
<bold>(A)</bold> Changes of maternal and infant and toddler&#x2019;s microbial alpha diversity of in control group. <bold>(B)</bold> Changes of maternal and infant and toddler&#x2019;s microbial alpha diversity in atopic dermatitis group. <bold>(C)</bold> Principal coordinate analysis (PCoA) analysis of the OTU level at maternal and infants and toddlers in control group. <bold>(D)</bold> Principal coordinate analysis (PCoA) analysis of the OTU level at maternal and infants and toddlers in atopic dermatitis group. <bold>(A, B)</bold> P value for alpha diversity differences at atopic dermatitis groups and control group was determined by one-way ANOVA (analysis of variance) after adjusting for subject. The 95% confidence interval around the mean is displayed by the boxplots. <bold>(C, D)</bold> The X-axis and Y-axis in Figure&#xa0;1 represent the two selected principal axes, and the percentage represents the explanatory degree value of the principal axes to the sample composition difference; The scale of X axis and Y axis is relative distance and has no practical significance. Points with different colors or shapes represent samples of different groups. The more scattered the two sample points are, the greater the difference in species composition between the two samples. *0.01&lt;P&#x2264;0.05, **0.001&lt;P&#x2264;0.01, ***P&#x2264;0.001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-1038876-g001.tif"/>
</fig>
<p>In addition, we compared the differences in maternal alpha diversity and beta diversity between high or low frequency of different foods consumption (more than 3 days or 3 days/week vs less than 3 days/week). Our results didn&#x2019;t find the difference in maternal alpha diversity (Shannon and Simpson indices) and beta diversity between high or low frequency of different foods consumption (<xref ref-type="supplementary-material" rid="SM7">
<bold>Supplemental Table&#xa0;2</bold>
</xref> and <xref ref-type="supplementary-material" rid="SM8">
<bold>Supplemental Table&#xa0;3</bold>
</xref>). However, our results found mothers who consumed soy products less than 3 days/week had higher Sobs index (<xref ref-type="supplementary-material" rid="SM7">
<bold>Supplemental Table&#xa0;2</bold>
</xref>).</p>
</sec>
<sec id="s3_3">
<title>Associations between maternal gut microbiota and atopic dermatitis of infants and toddlers</title>
<p>We compared the diversity and composition of the gut microbiota perinatally in mothers of both groups. Surprisingly, this study indicated that the alpha diversity of maternal gut microbiota in control groups was higher than that of atopic dermatitis groups (Sob and Shannon indices all p &lt; 0.05, <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). It was noted that the Shannon index of maternal gut microbes between the atopic dermatitis group and control group was not statistically significant after controlling confounding factors (mother&#x2019;s age, mother&#x2019;s educational level, alcohol intake during pregnancy and frequency of maternal soy products consumption); however, the Sobs index still retains statistical significance. Based on the PCoA plot, there were no significant differences in the beta diversity of maternal gut microbiota between the atopic dermatitis group and control group (R=-0.0706, p=0.799, <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Differences of maternal and offspring&#x2019;s microbial alpha diversity between Atopic dermatitis group and Control group. <bold>(A)</bold> Wilcoxon rank-sum text for sobs index. <bold>(B)</bold> Wilcoxon rank-sum text for Shannon index. <bold>(C)</bold> Wilcoxon rank-sum text for Simpson index.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-1038876-g002.tif"/>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Principal coordinate analysis (PCoA) analysis of the OTU level at mother in atopic dermatitis group and control group. The X-axis and Y-axis in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> represent the two selected principal axes, and the percentage represents the explanatory degree value of the principal axes to the sample composition difference; The scale of X axis and Y axis is relative distance and has no practical significance. Points with different colors or shapes represent samples of different groups. The more scattered the two sample points are, the greater the difference in species composition between the two samples.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-1038876-g003.tif"/>
</fig>
<p>Compositions of maternal gut microbiota at the phylum and genus level were displayed in <xref ref-type="supplementary-material" rid="SM3">
<bold>Supplemental Figure&#xa0;3A</bold>
</xref> and <xref ref-type="supplementary-material" rid="SM3">
<bold>Supplemental Figure&#xa0;3B</bold>
</xref>. The predominant phyla in the atopic dermatitis group and control group were Firmicutes (59.94% vs. 59.74%) and Bacteroidetes (35.10% vs. 35.97%), respectively. Twenty-two genera accounting for more than 0.01% were identified in each group with the top five genera as follows: <italic>Bacteroides</italic> (26.9% vs. 18.9%), <italic>Faecalibacterium</italic> (11.36% vs. 14.45%), <italic>Prevotella</italic> (3.75% vs. 13.73%), <italic>Agathobacter</italic> (4.49% vs. 4.51%) and <italic>Phascolarctobacterium</italic> (4.53% vs. 3.15%). Following the interpretation of the aforementioned results, we discovered that the abundance of <italic>Bacteroides</italic> was higher in the atopic dermatitis group, while the abundance of <italic>Prevotella</italic> was higher in the control group, although no statistical difference was found in the subsequent analysis.</p>
<p>Wilcoxon rank-sum test was used to further investigate the differences in maternal gut microbiota composition between the atopic dermatitis group and the control group. The results found that at the phylum level, mothers in the atopic dermatitis group exhibited a lower abundance of <italic>Fusobacteriota</italic> compared to mothers in the control group, while <italic>Acidobacteriota</italic> was significantly higher in mothers of the atopic dermatitis group versus mothers in the control group (all p&lt;0.05, <xref ref-type="supplementary-material" rid="SM3">
<bold>Supplemental Figure&#xa0;3C</bold>
</xref>). In addition, maternal gut microbiota at the genus level in the atopic dermatitis group had higher abundance of <italic>Bacteroides, Megasphaera, Hungatella, Butyricimonas, Eisenbergiella, Acinetobacter, norank_f_Xanthobacteraceae, Paenarthrobacter, unclassified_o_Veillonellales-Selenomonadales, Candidatus_Stoquefichus, norank_f_Mitochondria, Anaerofilum, Pseudomonas, Dielma, norank_f_Xanthobacteraceae</italic> and <italic>Candidatus_Solibacter</italic> organisms than those in control group (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Differences of maternal gut microbiota of atopic dermatitis group and control group on genus level. Wilcoxon rank-sum test bar plot shows the differences of gut microbial composition between two groups on the genus level. The Y-axis represents different genera groupings, boxes of different colors represent two different groupings, and the X-axis represents the average relative abundance of genera in different groupings. * 0.01&lt;P&#x2a7d;0.05, **0.001 &lt;P&#x2a7d;0.01.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-1038876-g004.tif"/>
</fig>
</sec>
<sec id="s3_4">
<title>Associations between children&#x2019;s gut microbiota and atopic dermatitis of infants and toddlers</title>
<p>We performed group comparisons for infant and toddler microbial alpha diversity and beta diversity in both the atopic dermatitis group and the control group. This study did not demonstrate the difference in alpha diversity and beta diversity between the two groups in different ages (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref> and <xref ref-type="supplementary-material" rid="SM4">
<bold>Supplemental Figure&#xa0;4</bold>
</xref>).</p>
<p>The overall trend of change for each dominant gut microbiota in atopic dermatitis and control groups was similar from 0-2 years at the phylum level (<xref ref-type="supplementary-material" rid="SM5">
<bold>Supplemental Figure&#xa0;5</bold>
</xref>). To further investigate the differences in gut microbiota composition between atopic dermatitis and control groups, we performed analyses based on the Wilcoxon rank-sum test. At the phylum level, the results revealed that the abundance of <italic>Proteobacteria</italic> was significantly lower in the atopic dermatitis group than in the control group of infants aged 1 year (p &lt; 0.05). The results of the study revealed that the abundance of <italic>norank_f_norank_o_Clostridia_UCG-014, unclassified_o_Coriobacteriales, Aliterella, Eubacterium_xylanophilum_group, Defluviitaleaceae_UCG-011, unclassified_o_Bacteroidales and Meiothermus</italic> were significantly higher in the atopic dermatitis group than in the control group at birth (p &lt; 0.05). The results of the study also revealed a higher abundance of <italic>Klebsiella, Helicobacter, norank_f_ML635J-40_aquatic_group, Faecalibaculum, Anaeroglobus, UBA1819 and norank_f_norank_o_MBA03</italic> in the atopic dermatitis group than the control group in infants aged 6 months (p &lt; 0.05). The atopic dermatitis group of infants at 1 year demonstrated a significantly higher abundance of <italic>Parabacteroides, Anaerostignum, UBA1819, unclassified_o_Bacteroidale, Dialister and Ruminococcus_gauvreauii_group</italic> compared to the control group. Toddlers aged 2 years of the atopic dermatitis group demonstrated significantly higher levels of <italic>Eubacterium_siraeum_group, Candidatus_Soleaferrea, unclassified_f_Ruminococcaceae and Frisingicoccus</italic>, but exhibited lower levels of <italic>Veillonella, UCG-002</italic> and <italic>Gemella</italic> compared to the control group (p &lt; 0.05). Other relevant results are detailed in <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Difference of infant and toddler's gut microbiota of atopic dermatitis group and control group on genus level. <bold>(A)</bold> Wilcoxon rank-sum test on genus level at birth. <bold>(B)</bold> Wilcoxon rank-sum test on genus level at 6 months. <bold>(C)</bold> Wilcoxon rank-sum test on genus level at 1 year. <bold>(D)</bold> Wilcoxon rank-sum test on genus level at 2 years. Note: Wilcoxon rank-sum test bar plot shows the differences of gut microbial composition between two groups on the genus level. The Y-axis represents different genera groupings, boxes of different colors represent two different groupings, and the X-axis represents the average relative abundance of genera in different groupings. *0.01&lt;P&#x2a7d;0.05, **0.001&lt;P&#x2a7d;0.01.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-1038876-g005.tif"/>
</fig>
</sec>
<sec id="s3_5">
<title>Impacts of maternal and offspring&#x2019;s gut microbiota on atopic dermatitis</title>
<p>To further clarify the effect of differential genera on the development of atopic dermatitis in infants and toddlers, we classified the above differential genera into high and low abundance models based on the median of the total sample. These findings were then included in the logistic regression model. After adjusting for relevant covariates (mothers: maternal age, mother&#x2019;s educational level, alcohol intake during pregnancy and frequency of maternal soy products consumption; infants and toddlers: mode of delivery, breastfeeding mode, maternal alcohol intake during breastfeeding, antibiotics exposure and pet exposure), this study revealed that mothers in the atopic dermatitis group exhibited a higher abundance of <italic>Pseudomonas and Candidatus_Stoquefichus.</italic> Meanwhile, findings suggest that infants and toddlers in the atopic dermatitis group demonstrated a higher abundance of <italic>Eubacterium_xylanophilum_group</italic> at birth, <italic>Ruminococcus_gauvreauii_group</italic> at 1 year and <italic>UCG-002</italic> at 2 years, while exhibiting a lower abundance of <italic>Gemella</italic> and <italic>Veillonella</italic> at 2 years (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Logistics regression analysis to explore the impacts of maternal and offspring&#x2019;s gut microbiota on atopic dermatitis after controlling for confounding factors.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">&#x3b2;</th>
<th valign="top" align="center">S.E.</th>
<th valign="top" align="center">Wald</th>
<th valign="top" align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" colspan="5" align="left">
<bold>Gut microbiota in Pregnancy women</bold>
<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td valign="top" colspan="5" align="left">
<italic>Candidatus_Stoquefichus</italic>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Low (ref)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;High</td>
<td valign="top" align="center">2.842</td>
<td valign="top" align="center">1.158</td>
<td valign="top" align="center">6.025</td>
<td valign="top" align="center">0.014</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Pseudomonas</italic>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Low (ref)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;High</td>
<td valign="top" align="center">3.127</td>
<td valign="top" align="center">1.124</td>
<td valign="top" align="center">7.736</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" colspan="5" align="left">
<bold>Gut microbiota in infants and toddlers</bold>
</td>
</tr>
<tr>
<td valign="top" colspan="5" align="left">
<italic>Eubacterium_xylanophilum_group</italic> (at birth) <xref ref-type="table-fn" rid="fnT2_2">
<sup>b</sup>
</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Low(ref)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;High</td>
<td valign="top" align="center">2.041</td>
<td valign="top" align="center">0.966</td>
<td valign="top" align="center">4.462</td>
<td valign="top" align="center">0.035</td>
</tr>
<tr>
<td valign="top" colspan="5" align="left">
<italic>Ruminococcus_gauvreauii_group</italic> (one year) <xref ref-type="table-fn" rid="fnT2_3">
<sup>c</sup>
</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Low(ref)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;High</td>
<td valign="top" align="center">2.051</td>
<td valign="top" align="center">0.832</td>
<td valign="top" align="center">6.073</td>
<td valign="top" align="center">0.014</td>
</tr>
<tr>
<td valign="top" colspan="5" align="left">
<italic>Gemella</italic> (two years) <xref ref-type="table-fn" rid="fnT2_4">
<sup>d</sup>
</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Low(ref)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;High</td>
<td valign="top" align="center">-2.644</td>
<td valign="top" align="center">1.211</td>
<td valign="top" align="center">4.762</td>
<td valign="top" align="center">0.029</td>
</tr>
<tr>
<td valign="top" colspan="5" align="left">UCG-002 (two years) <xref ref-type="table-fn" rid="fnT2_4">
<sup>d</sup>
</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Low(ref)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;High</td>
<td valign="top" align="center">3.006</td>
<td valign="top" align="center">1.453</td>
<td valign="top" align="center">4.278</td>
<td valign="top" align="center">0.039</td>
</tr>
<tr>
<td valign="top" colspan="5" align="left">
<italic>Veillonella</italic> (two years) <xref ref-type="table-fn" rid="fnT2_4">
<sup>d</sup>
</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Low(ref)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;High</td>
<td valign="top" align="center">-3.175</td>
<td valign="top" align="center">1.351</td>
<td valign="top" align="center">5.522</td>
<td valign="top" align="center">0.019</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Ref, Reference group of the categorical variable.</p>
</fn>
<fn id="fnT2_1">
<label>a</label>
<p>Logistics regression analysis Model 1, adjusting covariates (mother&#x2019;s age, mother&#x2019;s educational level, alcohol intake during pregnancy and frequency of maternal soy products consumption).</p>
</fn>
<fn id="fnT2_2">
<label>b</label>
<p>Logistics regression analysis Model 2; adjusting covariates (mode of delivery).</p>
</fn>
<fn id="fnT2_3">
<label>c</label>
<p>Logistics regression analysis Model 3; adjusting covariates (mode of delivery, maternal alcohol intake during breastfeeding, breastfeeding in first 6 months, antibiotics using in the first 6 months and pet exposure).</p>
</fn>
<fn id="fnT2_4">
<label>d</label>
<p>Logistics regression analysis Model 3; adjusting covariates (mode of delivery,maternal alcohol intake during breastfeeding, breastfeeding in first 6 months, antibiotics using in the first 6 months and pet exposure).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>This was the first study to explore the effects of involving maternal-offspring microbiota status on the subsequent risk for development of atopic dermatitis in infants and toddlers up to two years. Our findings suggested that the enrichment and reduction of certain gut microbiota were strongly associated with the development of atopic dermatitis in infants and toddlers. These findings provide a basis for the development of interventions in the risk reduction and treatment of atopic dermatitis in infants and toddlers.</p>
<p>Our results indicated that there was a lower abundance of <italic>Prevotella</italic> in mothers assigned to the atopic dermatitis group versus the control group. But no statistical difference was noted in the subsequent analysis, likely due to the small sample size. However, these results reflected to some extent that the enrichment of <italic>Prevotella</italic> during pregnancy may serve as a protective factor against the development of pediatric allergic diseases. Vuillermin et&#xa0;al. (<xref ref-type="bibr" rid="B24">24</xref>) discovered that an increased abundance of <italic>Prevotella</italic> in pregnant women was associated with a decreased risk for the development of food allergies in respective offspring. <italic>Prevotella</italic> is a gram-negative anaerobic bacterium that ferments dietary fiber to produce metabolites, including short-chain fatty acids (SCFAs) and succinic acid (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>). SCFAs demonstrate significant anti-inflammatory effects and may influence fetal immune development through the production of interleukin-10 (IL-10) producing regulatory T cells (<xref ref-type="bibr" rid="B11">11</xref>). Additionally, succinic acid can stimulate the development, migration, and function of innate immune cells (<xref ref-type="bibr" rid="B30">30</xref>). In addition, <italic>Prevotella</italic> produces endotoxins that negatively affect fetal immune development and increase the risk for allergic outcomes <italic>via</italic> toll-like receptor-4-dependent pathways (<xref ref-type="bibr" rid="B31">31</xref>).</p>
<p>Previous work (<xref ref-type="bibr" rid="B32">32</xref>) indicated that an increased abundance of <italic>Bacteroides</italic>, an anaerobic bacterium belonging to the <italic>Bacteroidaceae</italic>, promoted the secretion of IL-6 and IL-23 in dendritic cells. IL-6 and IL-23 can promote the differentiation of Th17 cells and the secretion of IL-17. Th17 cells trigger inflammatory pathways that increase the risk for development of chronic autoimmune and allergic disease states (<xref ref-type="bibr" rid="B33">33</xref>). Therefore, the association between increased <italic>Bacteroides</italic> and the risk for atopic dermatitis is further understood by <italic>Bacteroides</italic>-associated cytokine production with notable systemic downstream effects. Our study further supports this finding in that a higher abundance of <italic>Bacteroides</italic> was noted in mothers of infants with atopic dermatitis, without adjusting for covariates. Our results also revealed maternal carrier with the higher abundance of <italic>Pseudomonas</italic> and <italic>Candidatus Stoquefichus</italic> during pregnancy was risk factor for atopic dermatitis in infants and toddlers after the adjustment of potential covariates. <italic>Pseudomonas</italic> belonging to the <italic>Proteobacteria</italic> phylum is an opportunistic pathogen, it has been shown to induce a type 2 immune response leading to the production of mucin, which is used as an energy source by pathogens (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). <italic>Candidatus Stoquefichus</italic> belongs to the class of <italic>Bacilli.</italic> Notably, there was limited data regarding the biological implications of these genera in atopic dermatitis. Further investigation of these genera as it relates to human application involving the gut microbiota should be considered in future studies.</p>
<p>Initially, our findings indicated a higher alpha diversity of the gut microbiota in mothers of the atopic dermatitis group compared to mothers in the control group. However, the relationship between maternal Shannon index and infantile atopic dermatitis was not significant after controlling for relevant covariates, consistent with findings of previous work (<xref ref-type="bibr" rid="B36">36</xref>). Hiromi Tanabe et&#xa0;al. (<xref ref-type="bibr" rid="B36">36</xref>) reported an increase in the total diversity of maternal gut microbiota during pregnancy in the atopic dermatitis group compared to mothers in control group, however, this difference was not statistically significant. Although the relationship between maternal gut microbiota during pregnancy, and the risk for development of atopic dermatitis in respective offspring remains controversial, our results indicated that enrichment and reduction of certain maternal gut microbiota during pregnancy were associated with the subsequent development of atopic dermatitis in infants and toddlers. This data provided a new perspective for preventative and interventional measures to minimize the development of allergic diseases in infants and toddlers.</p>
<p>Our study included postpartum analysis involving the examination of offspring gut microbiota status up to two years of age, and the potential pathophysiological impact involving the microbiota-immune axis and risk for pediatric atopic dermatitis. Hong et&#xa0;al. (<xref ref-type="bibr" rid="B2">2</xref>) noted a higher abundance of <italic>Klebsiella</italic> in infants with documented atopic dermatitis (<xref ref-type="bibr" rid="B2">2</xref>). Rhoads et&#xa0;al. (<xref ref-type="bibr" rid="B37">37</xref>) reported a higher abundance of <italic>Klebsiella</italic> in infants with colic, further substantiating the potential systemic inflammatory effects of <italic>Klebsiella</italic>. A prior study (<xref ref-type="bibr" rid="B38">38</xref>) demonstrated an increased abundance of <italic>Parabacteroides</italic> in infants presenting with atopic dermatitis. Our study further supports this finding in that a higher abundance of <italic>Parabacteroides</italic> and <italic>Klebsiella</italic> was noted in infants with atopic dermatitis, without adjusting for covariates. Our results showed that infants and toddlers in the atopic dermatitis group presented with a higher abundance of <italic>Eubacterium xylanophilum group</italic> at birth<italic>, Ruminococcus gauvreauii group</italic> at 1 year <italic>and UCG-002</italic> at 2 years after adjusting for covariates. <italic>Eubacterium xylanophilum group</italic> and <italic>Ruminococcus gauvreauii group</italic> belong to the family of <italic>Lachnospiraceae</italic>. Previous study (<xref ref-type="bibr" rid="B39">39</xref>) noted a significant increase in the abundance of <italic>Lachnospiraceae</italic> in infants and toddlers presenting with atopic dermatitis. Additionally, Xu et&#xa0;al. (<xref ref-type="bibr" rid="B40">40</xref>) discovered that <italic>Ruminococcus gauvreauii group</italic> was positively associated with systemic immune response mechanisms mediated <italic>via</italic> pro-inflammatory cytokines including tumor necrosis factor-&#x3b1; (TNF-&#x3b1;), IL-1&#x3b2;, and IL-6. Therefore, <italic>Ruminococcus gauvreauii group</italic> can initiate an inflammatory signaling cascade that may facilitate the pathophysiological development of allergic disease processes, including pediatric atopic dermatitis. However, there was no direct association between the above genera and risk for the development of atopic dermatitis in infants and toddlers in previous study (<xref ref-type="bibr" rid="B16">16</xref>). Particularly, the role of the genus <italic>UCG-002</italic> in the development of atopic dermatitis in infants and toddlers was unclear. Further studies involving the above three genera would be needed to explore its role in mechanisms of allergic disease.</p>
<p>Our study demonstrated an important association involving reduced abundance of <italic>Gemella</italic> and <italic>Veillonella</italic> with an increased risk for atopic dermatitis in infants and toddlers. However, it is important to note that our findings were not entirely consistent with previous studies. Los-R et&#xa0;al. (<xref ref-type="bibr" rid="B41">41</xref>) discovered a positive correlation between the development of allergic disease in infants and presence of <italic>Gemella</italic>. Moreover, Huang et&#xa0;al. (<xref ref-type="bibr" rid="B42">42</xref>) noted a higher abundance of <italic>Gemella</italic> in infants presenting with asthma, while Simonyte et&#xa0;al. (<xref ref-type="bibr" rid="B43">43</xref>) indicated that reduced abundance of <italic>Veillonella</italic> in infancy was associated with an increased risk of asthma. Despite the notable discrepancies in previous literature findings, the anti-allergic effects of <italic>Gemella</italic> and <italic>Veillonella</italic> should be explored and considered in future applications<italic>. Veillonella</italic>, an anaerobic gram-negative coccus, can ferment lactic acid to propionate and acetate (<xref ref-type="bibr" rid="B44">44</xref>). <italic>Gemella</italic> is obligatory fermentative, producing either a mixture of acetic and lactic acids or an equimolar molar mixture of acetic acid and CO<sub>2</sub> depending on the abundance of oxygen (<xref ref-type="bibr" rid="B45">45</xref>). Therefore, both <italic>Gemella</italic> and <italic>Veillonella</italic> can produce SCFAs. SCFAs, such as butyrate, propionate, and acetate, are primary energy sources with anti-inflammatory and immunomodulatory effects (<xref ref-type="bibr" rid="B46">46</xref>). Previous studies also found lower levels of fecal SCFAs (i.e., acetate, butyrate and valerate) were associated with the development of atopic dermatitis in infants (<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B48">48</xref>). These findings cannot be generalized at this time as they require further investigation in studies involving larger sample sizes.</p>
<p>Our findings couldn&#x2019;t determine significant differences in the gut microbiota diversity between atopic dermatitis and control children involving infants and toddlers at different ages, inconsistent with other relevant studies (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B21">21</xref>). We suspected that these inconsistencies may be a result of variable dietary habits of both maternal and infant origin. Differences in breastfeeding rates and maternal diet may affect the gut microbiota composition of infants and toddlers across different populations. Other plausible causes of discrepancy include individual environmental influences and underreported perinatal/postnatal factors. Therefore, a comprehensive analysis of all potential variables must be considered when exploring the complex relationship between gut microbiota and the development of pediatric atopic dermatitis.</p>
<p>While our findings did not indicate an association between exogenous influences and subsequent development of atopic dermatitis in infants and toddlers, prior studies have indicated otherwise (<xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B50">50</xref>). A possible limitation influencing the overall results of our study includes our small sample size, which proved to be insufficient in detecting any statistical significance in exogenous influence and the development of pediatric atopic dermatitis. Therefore, it is imperative that we consider a larger sample size to control for these variables in an effort to elucidate the relationship among exogenous influences that may pose an indirect effect on infantile gut-microbiota status in the development of atopic dermatitis and other allergic processes.</p>
<p>Our study presents with strengths and weaknesses. Our study was a longitudinal cohort study allowing us to explore the relationship between gut microbiota in the first two years of life and risk for pediatric atopic dermatitis. Additionally, this served as a pilot study to investigate the relationship between changes in maternal gut microbiota during pregnancy and the development of atopic dermatitis in infants and toddlers, closing the gap in current research on maternal gut microbiota and subsequent atopic dermatitis of infants and toddlers in China. However, there were some distinct limitations of our study that require rectification for future applications. Principally, the sample size was insufficient for generalization of the data obtained. Moreover, we did not collect a complete medical history of both maternal and paternal subjects which is necessary for determining additional genetic components that may contribute to the development of pediatric atopic dermatitis. 16S rRNA sequencing was also a limitation of this study as it cannot provide sequences in a resolution like shotgun sequencing and provides no information about the functional capacity of the gut microbiota. Additionally, a further genetic function prediction or the measurements of SCFAs are suggested to be conducted to explore the clinical relevance to the changes in fecal microbiota in future studies.</p>
<p>Results of this study supported that enrichment and reduction of certain gut microbiota in mother-offspring pairs were associated with an increased risk of atopic dermatitis in infants and toddlers. The enrichment of <italic>Gemella</italic> and <italic>Veillonella</italic> in the microbiota of offspring appear to exhibit protective properties against the development of atopic dermatitis. Moreover, the results indicated that the enrichment of <italic>Prevotella</italic> during pregnancy may serve as a protective factor in the development of allergic diseases in offspring. The enrichment of <italic>Pseudomonas</italic>, <italic>Candidatus Stoquefichus</italic> during pregnancy and <italic>Ruminococcus gauvreauii group, Eubacterium xylanophilum group</italic> and <italic>UCG-002</italic> in offspring were risk factors for the development of atopic dermatitis in the offspring. Collectively, these findings provide a basis for continued research involving the gut-microbiota-immune axis and for the development of target-specific interventions in the prevention of pediatric atopic dermatitis.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: <uri xlink:href="https://www.ncbi.nlm.nih.gov/">https://www.ncbi.nlm.nih.gov/</uri>, PRJNA482931.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by the Research Ethics Boards of Medical School of Wuhan University (JKHL2017-03-03). Written informed consent to participate in this study was provided by the participants&#x2019; legal guardian/next of kin.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>XF wrote all sections of the manuscript and performed the analysis. XF and YL contributed to the conception and design of the study. TZ, JD, and NW contributed to data collection. CH, JB, and YL contributed to the manuscript revisions. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the National Natural Science Foundation of China (grant number 81903334).</p>
</sec>
<sec id="s9" sec-type="acknowledgement">
<title>Acknowledgments</title>
<p>We were grateful for the technical support from Shanghai Majorbio Bio-pharm Technology Co., Ltd.</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>
</body>
<back>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2022.1038876/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2022.1038876/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image_1.jpeg" id="SM1" mimetype="image/jpeg"/>
<supplementary-material xlink:href="Image_2.jpeg" id="SM2" mimetype="image/jpeg"/>
<supplementary-material xlink:href="Image_3.jpeg" id="SM3" mimetype="image/jpeg"/>
<supplementary-material xlink:href="Image_4.jpeg" id="SM4" mimetype="image/jpeg"/>
<supplementary-material xlink:href="Image_5.jpeg" id="SM5" mimetype="image/jpeg"/>
<supplementary-material xlink:href="Table_1.docx" id="SM6" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table_2.docx" id="SM7" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table_3.docx" id="SM8" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Platts-Mills</surname> <given-names>T</given-names>
</name>
</person-group>. <article-title>The allergy epidemics: 1870-2010</article-title>. <source>J Allergy Clin Immunol</source> (<year>2015</year>) <volume>136</volume>(<issue>1</issue>):<fpage>3</fpage>&#x2013;<lpage>13</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jaci.2015.03.048</pub-id>
</citation>
</ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hong</surname> <given-names>P</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>B</given-names>
</name>
<name>
<surname>Aw</surname> <given-names>M</given-names>
</name>
<name>
<surname>Shek</surname> <given-names>L</given-names>
</name>
<name>
<surname>Yap</surname> <given-names>G</given-names>
</name>
<name>
<surname>Chua</surname> <given-names>K</given-names>
</name>
<etal/>
</person-group>. <article-title>Comparative analysis of fecal microbiota in infants with and without eczema</article-title>. <source>PloS One</source> (<year>2010</year>) <volume>5</volume>(<issue>4</issue>):<elocation-id>e9964</elocation-id>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0009964</pub-id>
</citation>
</ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bieber</surname> <given-names>T</given-names>
</name>
</person-group>. <article-title>Mechanisms of disease: Atopic dermatitis</article-title>. <source>N Engl J Med</source> (<year>2008</year>) <volume>358</volume>(<issue>14</issue>):<page-range>1483&#x2013;94</page-range>. doi: <pub-id pub-id-type="doi">10.1056/NEJMra074081</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Myers</surname> <given-names>JMB</given-names>
</name>
<name>
<surname>Hershey</surname> <given-names>GKK</given-names>
</name>
</person-group>. <article-title>Eczema in early life: Genetics, the skin barrier, and lessons learned from birth cohort studies</article-title>. <source>J Pediatr</source> (<year>2010</year>) <volume>157</volume>(<issue>5</issue>):<page-range>704&#x2013;14</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.jpeds.2010.07.009</pub-id>
</citation>
</ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mei</surname> <given-names>F</given-names>
</name>
<name>
<surname>Yizhu</surname> <given-names>X</given-names>
</name>
<name>
<surname>Xiaoyan</surname> <given-names>L</given-names>
</name>
<name>
<surname>Yan</surname> <given-names>H</given-names>
</name>
</person-group>. <article-title>Investigation of environmental risk factors of eczema in different genetic background infants</article-title>. <source>Chinese Journal of Child Health Care</source> (<year>2015</year>) <volume>23</volume>(<issue>10</issue>):<fpage>1070&#x2013;3</fpage>. doi: <pub-id pub-id-type="doi">10.11852/zgetbizz2015-23-10-19</pub-id>
</citation>
</ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pl&#xf6;tz</surname> <given-names>S</given-names>
</name>
<name>
<surname>Wiesender</surname> <given-names>M</given-names>
</name>
<name>
<surname>Todorova</surname> <given-names>A</given-names>
</name>
<name>
<surname>Ring</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>What is new in atopic dermatitis/eczema</article-title>? <source>Expert Opin emerging Drugs</source> (<year>2014</year>) <volume>19</volume>(<issue>4</issue>):<page-range>441&#x2013;58</page-range>. doi: <pub-id pub-id-type="doi">10.1517/14728214.2014.953927</pub-id>
</citation>
</ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Flohr</surname> <given-names>C</given-names>
</name>
<name>
<surname>Mann</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>New insights into the epidemiology of childhood atopic dermatitis</article-title>. <source>Allergy</source> (<year>2014</year>) <volume>69</volume>(<issue>1</issue>):<fpage>3</fpage>&#x2013;<lpage>16</lpage>. doi: <pub-id pub-id-type="doi">10.1111/all.12270</pub-id>
</citation>
</ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Penders</surname> <given-names>J</given-names>
</name>
<name>
<surname>Stobberingh</surname> <given-names>E</given-names>
</name>
<name>
<surname>van den Brandt</surname> <given-names>P</given-names>
</name>
<name>
<surname>Thijs</surname> <given-names>C</given-names>
</name>
</person-group>. <article-title>The role of the intestinal microbiota in the development of atopic disorders</article-title>. <source>Allergy</source> (<year>2007</year>) <volume>62</volume>(<issue>11</issue>):<page-range>1223&#x2013;36</page-range>. doi: <pub-id pub-id-type="doi">10.1111/j.1398-9995.2007.01462.x</pub-id>
</citation>
</ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Belkaid</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Hand</surname> <given-names>TW</given-names>
</name>
</person-group>. <article-title>Role of the microbiota in immunity and inflammation</article-title>. <source>Cell</source> (<year>2014</year>) <volume>157</volume>(<issue>1</issue>):<page-range>121&#x2013;41</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.cell.2014.03.011</pub-id>
</citation>
</ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Arpaia</surname> <given-names>N</given-names>
</name>
<name>
<surname>Campbell</surname> <given-names>C</given-names>
</name>
<name>
<surname>Fan</surname> <given-names>X</given-names>
</name>
<name>
<surname>Dikiy</surname> <given-names>S</given-names>
</name>
<name>
<surname>van der Veeken</surname> <given-names>J</given-names>
</name>
<name>
<surname>deRoos</surname> <given-names>P</given-names>
</name>
<etal/>
</person-group>. <article-title>Metabolites produced by commensal bacteria promote peripheral regulatory T-cell generation</article-title>. <source>Nature</source> (<year>2013</year>) <volume>504</volume>(<issue>7480</issue>):<page-range>451&#x2013;5</page-range>. doi: <pub-id pub-id-type="doi">10.1038/nature12726</pub-id>
</citation>
</ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Furusawa</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Obata</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Fukuda</surname> <given-names>S</given-names>
</name>
<name>
<surname>Endo</surname> <given-names>T</given-names>
</name>
<name>
<surname>Nakato</surname> <given-names>G</given-names>
</name>
<name>
<surname>Takahashi</surname> <given-names>D</given-names>
</name>
<etal/>
</person-group>. <article-title>Commensal microbe-derived butyrate induces the differentiation of colonic regulatory T cells</article-title>. <source>Nature</source> (<year>2013</year>) <volume>504</volume>(<issue>7480</issue>):<page-range>446&#x2013;50</page-range>. doi: <pub-id pub-id-type="doi">10.1038/nature12721</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Trompette</surname> <given-names>A</given-names>
</name>
<name>
<surname>Gollwitzer</surname> <given-names>E</given-names>
</name>
<name>
<surname>Yadava</surname> <given-names>K</given-names>
</name>
<name>
<surname>Sichelstiel</surname> <given-names>A</given-names>
</name>
<name>
<surname>Sprenger</surname> <given-names>N</given-names>
</name>
<name>
<surname>Ngom-Bru</surname> <given-names>C</given-names>
</name>
<etal/>
</person-group>. <article-title>Gut microbiota metabolism of dietary fiber influences allergic airway disease and hematopoiesis</article-title>. <source>Nat Med</source> (<year>2014</year>) <volume>20</volume>(<issue>2</issue>):<page-range>159&#x2013;66</page-range>. doi: <pub-id pub-id-type="doi">10.1038/nm.3444</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Forno</surname> <given-names>E</given-names>
</name>
<name>
<surname>Onderdonk</surname> <given-names>A</given-names>
</name>
<name>
<surname>McCracken</surname> <given-names>J</given-names>
</name>
<name>
<surname>Litonjua</surname> <given-names>A</given-names>
</name>
<name>
<surname>Laskey</surname> <given-names>D</given-names>
</name>
<name>
<surname>Delaney</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Diversity of the gut microbiota and eczema in early life</article-title>. <source>Clin Mol Allergy</source> (<year>2008</year>) <volume>6</volume>:<fpage>11</fpage>. doi: <pub-id pub-id-type="doi">10.1186/1476-7961-6-11</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sj&#xf6;gren</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Jenmalm</surname> <given-names>M</given-names>
</name>
<name>
<surname>B&#xf6;ttcher</surname> <given-names>M</given-names>
</name>
<name>
<surname>Bj&#xf6;rkst&#xe9;n</surname> <given-names>B</given-names>
</name>
<name>
<surname>Sverremark-Ekstr&#xf6;m</surname> <given-names>E</given-names>
</name>
</person-group>. <article-title>Altered early infant gut microbiota in children developing allergy up to 5 years of age</article-title>. <source>Clin Exp Allergy</source> (<year>2009</year>) <volume>39</volume>(<issue>4</issue>):<page-range>518&#x2013;26</page-range>. doi: <pub-id pub-id-type="doi">10.1111/j.1365-2222.2008.03156.x</pub-id>
</citation>
</ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>M</given-names>
</name>
<name>
<surname>Karlsson</surname> <given-names>C</given-names>
</name>
<name>
<surname>Olsson</surname> <given-names>C</given-names>
</name>
<name>
<surname>Adlerberth</surname> <given-names>I</given-names>
</name>
<name>
<surname>Wold</surname> <given-names>A</given-names>
</name>
<name>
<surname>Strachan</surname> <given-names>D</given-names>
</name>
<etal/>
</person-group>. <article-title>Reduced diversity in the early fecal microbiota of infants with atopic eczema</article-title>. <source>J Allergy Clin Immunol</source> (<year>2008</year>) <volume>121</volume>(<issue>1</issue>):<page-range>129&#x2013;34</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.jaci.2007.09.011</pub-id>
</citation>
</ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zimmermann</surname> <given-names>P</given-names>
</name>
<name>
<surname>Messina</surname> <given-names>N</given-names>
</name>
<name>
<surname>Mohn</surname> <given-names>W</given-names>
</name>
<name>
<surname>Finlay</surname> <given-names>B</given-names>
</name>
<name>
<surname>Curtis</surname> <given-names>N</given-names>
</name>
</person-group>. <article-title>Association between the intestinal microbiota and allergic sensitization, eczema, and asthma: A systematic review</article-title>. <source>J Allergy Clin Immunol</source> (<year>2019</year>) <volume>143</volume>(<issue>2</issue>):<page-range>467&#x2013;85</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.jaci.2018.09.025</pub-id>
</citation>
</ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jenmalm</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Childhood immune maturation and allergy development: regulation by maternal immunity and microbial exposure</article-title>. <source>Am J Reprod Immunol</source> (<year>2011</year>) <volume>66</volume>(suppl.1):<fpage>75</fpage>&#x2013;<lpage>80</lpage>. doi: <pub-id pub-id-type="doi">10.1111/j.1600-0897.2011.01036.x</pub-id>
</citation>
</ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jenmalm</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>The mother-offspring dyad: microbial transmission, immune interactions and allergy development</article-title>. <source>J Intern Med</source> (<year>2017</year>) <volume>282</volume>(<issue>6</issue>):<page-range>484&#x2013;95</page-range>. doi: <pub-id pub-id-type="doi">10.1111/joim.12652</pub-id>
</citation>
</ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>West</surname> <given-names>C</given-names>
</name>
<name>
<surname>Jenmalm</surname> <given-names>M</given-names>
</name>
<name>
<surname>Prescott</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>The gut microbiota and its role in the development of allergic disease: a wider perspective</article-title>. <source>Clin Exp Allergy</source> (<year>2015</year>) <volume>45</volume>(<issue>1</issue>):<fpage>43</fpage>&#x2013;<lpage>53</lpage>. doi: <pub-id pub-id-type="doi">10.1111/cea.12332</pub-id>
</citation>
</ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lange</surname> <given-names>N</given-names>
</name>
<name>
<surname>Celed&#xf3;n</surname> <given-names>J</given-names>
</name>
<name>
<surname>Forno</surname> <given-names>E</given-names>
</name>
<name>
<surname>Ly</surname> <given-names>N</given-names>
</name>
<name>
<surname>Onderdonk</surname> <given-names>A</given-names>
</name>
<name>
<surname>Bry</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>Maternal intestinal flora and wheeze in early childhood</article-title>. <source>Clin Exp Allergy</source> (<year>2012</year>) <volume>42</volume>(<issue>6</issue>):<page-range>901&#x2013;8</page-range>. doi: <pub-id pub-id-type="doi">10.1111/j.1365-2222.2011.03950.x</pub-id>
</citation>
</ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Stokholm</surname> <given-names>J</given-names>
</name>
<name>
<surname>Blaser</surname> <given-names>M</given-names>
</name>
<name>
<surname>Thorsen</surname> <given-names>J</given-names>
</name>
<name>
<surname>Rasmussen</surname> <given-names>M</given-names>
</name>
<name>
<surname>Waage</surname> <given-names>J</given-names>
</name>
<name>
<surname>Vinding</surname> <given-names>R</given-names>
</name>
<etal/>
</person-group>. <article-title>Maturation of the gut microbiome and risk of asthma in childhood</article-title>. <source>Nat Commun</source> (<year>2018</year>) <volume>9</volume>(<issue>1</issue>):<fpage>141</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41467-017-02573-2</pub-id>
</citation>
</ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gao</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Nanan</surname> <given-names>R</given-names>
</name>
<name>
<surname>Macia</surname> <given-names>L</given-names>
</name>
<name>
<surname>Tan</surname> <given-names>J</given-names>
</name>
<name>
<surname>Sominsky</surname> <given-names>L</given-names>
</name>
<name>
<surname>Quinn</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>The maternal gut microbiome during pregnancy and offspring allergy and asthma</article-title>. <source>J Allergy Clin Immunol</source> (<year>2021</year>) <volume>148</volume>(<issue>3</issue>):<page-range>669&#x2013;78</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.jaci.2021.07.011</pub-id>
</citation>
</ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Vuillermin</surname> <given-names>P</given-names>
</name>
<name>
<surname>Macia</surname> <given-names>L</given-names>
</name>
<name>
<surname>Nanan</surname> <given-names>R</given-names>
</name>
<name>
<surname>Tang</surname> <given-names>M</given-names>
</name>
<name>
<surname>Collier</surname> <given-names>F</given-names>
</name>
<name>
<surname>Brix</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>The maternal microbiome during pregnancy and allergic disease in the offspring</article-title>. <source>Semin Immunopathol</source> (<year>2017</year>) <volume>39</volume>(<issue>6</issue>):<page-range>669&#x2013;75</page-range>. doi: <pub-id pub-id-type="doi">10.1007/s00281-017-0652-y</pub-id>
</citation>
</ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Vuillermin</surname> <given-names>P</given-names>
</name>
<name>
<surname>O'Hely</surname> <given-names>M</given-names>
</name>
<name>
<surname>Collier</surname> <given-names>F</given-names>
</name>
<name>
<surname>Allen</surname> <given-names>K</given-names>
</name>
<name>
<surname>Tang</surname> <given-names>M</given-names>
</name>
<name>
<surname>Harrison</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>Maternal carriage of prevotella during pregnancy associates with protection against food allergy in the offspring</article-title>. <source>Nat Commun</source> (<year>2020</year>) <volume>11</volume>(<issue>1</issue>):<fpage>1452</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41467-020-14552-1</pub-id>
</citation>
</ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Bai</surname> <given-names>J</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>X</given-names>
</name>
</person-group>. <article-title>The effect of maternal postpartum practices on infant gut microbiota: A Chinese cohort study</article-title>. <source>Microorganisms</source> (<year>2019</year>) <volume>7</volume>(<issue>11</issue>):<fpage>511</fpage>. doi: <pub-id pub-id-type="doi">10.3390/microorganisms7110511</pub-id>
</citation>
</ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Williams</surname> <given-names>H</given-names>
</name>
<name>
<surname>Burney</surname> <given-names>P</given-names>
</name>
<name>
<surname>Hay</surname> <given-names>R</given-names>
</name>
<name>
<surname>Archer</surname> <given-names>C</given-names>
</name>
<name>
<surname>Shipley</surname> <given-names>M</given-names>
</name>
<name>
<surname>Hunter</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>The U.K. working party's diagnostic criteria for atopic dermatitis. i. derivation of a minimum set of discriminators for atopic dermatitis</article-title>. <source>Br J Dermatol</source> (<year>1994</year>) <volume>131</volume>(<issue>3</issue>):<page-range>383&#x2013;96</page-range>. doi: <pub-id pub-id-type="doi">10.1111/j.1365-2133.1994.tb08530.x</pub-id>
</citation>
</ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>XX</given-names>
</name>
<name>
<surname>Zou</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zou</surname> <given-names>X</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>ZG</given-names>
</name>
<name>
<surname>Nan</surname> <given-names>XN</given-names>
</name>
<name>
<surname>Han</surname> <given-names>CX</given-names>
</name>
</person-group>. <article-title>DNA Metabarcoding uncovers the diet of subterranean rodents in China</article-title>. <source>PloS One</source> (<year>2022</year>) <volume>17</volume>(<issue>4</issue>):e0258078. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0258078</pub-id>
</citation>
</ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Franke</surname> <given-names>T</given-names>
</name>
<name>
<surname>Deppenmeier</surname> <given-names>U</given-names>
</name>
</person-group>. <article-title>Physiology and central carbon metabolism of the gut bacterium prevotella copri</article-title>. <source>Mol Microbiol</source> (<year>2018</year>) <volume>109</volume>(<issue>4</issue>):<page-range>528&#x2013;40</page-range>. doi: <pub-id pub-id-type="doi">10.1111/mmi.14058</pub-id>
</citation>
</ref>
<ref id="B29">
<label>29</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kovatcheva-Datchary</surname> <given-names>P</given-names>
</name>
<name>
<surname>Nilsson</surname> <given-names>A</given-names>
</name>
<name>
<surname>Akrami</surname> <given-names>R</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>Y</given-names>
</name>
<name>
<surname>De Vadder</surname> <given-names>F</given-names>
</name>
<name>
<surname>Arora</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>Dietary fiber-induced improvement in glucose metabolism is associated with increased abundance of prevotella</article-title>. <source>Cell Metab</source> (<year>2015</year>) <volume>22</volume>(<issue>6</issue>):<page-range>971&#x2013;82</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.cmet.2015.10.001</pub-id>
</citation>
</ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rubic</surname> <given-names>T</given-names>
</name>
<name>
<surname>Lametschwandtner</surname> <given-names>G</given-names>
</name>
<name>
<surname>Jost</surname> <given-names>S</given-names>
</name>
<name>
<surname>Hinteregger</surname> <given-names>S</given-names>
</name>
<name>
<surname>Kund</surname> <given-names>J</given-names>
</name>
<name>
<surname>Carballido-Perrig</surname> <given-names>N</given-names>
</name>
<etal/>
</person-group>. <article-title>Triggering the succinate receptor GPR91 on dendritic cells enhances immunity</article-title>. <source>Nat Immunol</source> (<year>2008</year>) <volume>9</volume>(<issue>11</issue>):<page-range>1261&#x2013;9</page-range>. doi: <pub-id pub-id-type="doi">10.1038/ni.1657</pub-id>
</citation>
</ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gomez de Ag&#xfc;ero</surname> <given-names>M</given-names>
</name>
<name>
<surname>Ganal-Vonarburg</surname> <given-names>S</given-names>
</name>
<name>
<surname>Fuhrer</surname> <given-names>T</given-names>
</name>
<name>
<surname>Rupp</surname> <given-names>S</given-names>
</name>
<name>
<surname>Uchimura</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Li</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>The maternal microbiota drives early postnatal innate immune development</article-title>. <source>Sci (New York NY)</source> (<year>2016</year>) <volume>351</volume>(<issue>6279</issue>):<page-range>1296&#x2013;302</page-range>. doi: <pub-id pub-id-type="doi">10.1126/science.aad2571</pub-id>
</citation>
</ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kamada</surname> <given-names>N</given-names>
</name>
<name>
<surname>Seo</surname> <given-names>S</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>G</given-names>
</name>
<name>
<surname>N&#xfa;&#xf1;ez</surname> <given-names>G</given-names>
</name>
</person-group>. <article-title>Role of the gut microbiota in immunity and inflammatory disease</article-title>. <source>Nat Rev Immunol</source> (<year>2013</year>) <volume>13</volume>(<issue>5</issue>):<page-range>321&#x2013;35</page-range>. doi: <pub-id pub-id-type="doi">10.1038/nri3430</pub-id>
</citation>
</ref>
<ref id="B33">
<label>33</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yurkovetskiy</surname> <given-names>L</given-names>
</name>
<name>
<surname>Pickard</surname> <given-names>J</given-names>
</name>
<name>
<surname>Chervonsky</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>Microbiota and autoimmunity: exploring new avenues</article-title>. <source>Cell Host Microbe</source> (<year>2015</year>) <volume>17</volume>(<issue>5</issue>):<page-range>548&#x2013;52</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.chom.2015.04.010</pub-id>
</citation>
</ref>
<ref id="B34">
<label>34</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Agaronyan</surname> <given-names>K</given-names>
</name>
<name>
<surname>Sharma</surname> <given-names>L</given-names>
</name>
<name>
<surname>Vaidyanathan</surname> <given-names>B</given-names>
</name>
<name>
<surname>Glenn</surname> <given-names>K</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>S</given-names>
</name>
<name>
<surname>Annicelli</surname> <given-names>C</given-names>
</name>
<etal/>
</person-group>. <article-title>Tissue remodeling by an opportunistic pathogen triggers allergic inflammation</article-title>. <source>Immunity</source> (<year>2022</year>) <volume>55</volume>(<issue>5</issue>):<fpage>895</fpage>&#x2013;<lpage>911.e10</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.immuni.2022.04.001</pub-id>
</citation>
</ref>
<ref id="B35">
<label>35</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Caminero</surname> <given-names>A</given-names>
</name>
<name>
<surname>Galipeau</surname> <given-names>H</given-names>
</name>
<name>
<surname>McCarville</surname> <given-names>J</given-names>
</name>
<name>
<surname>Johnston</surname> <given-names>C</given-names>
</name>
<name>
<surname>Bernier</surname> <given-names>S</given-names>
</name>
<name>
<surname>Russell</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>Duodenal bacteria from patients with celiac disease and healthy subjects distinctly affect gluten breakdown and immunogenicity</article-title>. <source>Gastroenterology</source> (<year>2016</year>) <volume>151</volume>(<issue>4</issue>):<page-range>670&#x2013;83</page-range>. doi: <pub-id pub-id-type="doi">10.1053/j.gastro.2016.06.041</pub-id>
</citation>
</ref>
<ref id="B36">
<label>36</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tanabe</surname> <given-names>H</given-names>
</name>
<name>
<surname>Sakurai</surname> <given-names>K</given-names>
</name>
<name>
<surname>Kato</surname> <given-names>T</given-names>
</name>
<name>
<surname>Kawasaki</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Nakano</surname> <given-names>T</given-names>
</name>
<name>
<surname>Yamaide</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>Association of the maternal microbiome in Japanese pregnant women with the cumulative prevalence of dermatitis in early infancy: A pilot study from the Chiba study of mother and child health birth cohort</article-title>. <source>World Allergy Organ J</source> (<year>2019</year>) <volume>12</volume>(<issue>10</issue>):<fpage>100065</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.waojou.2019.100065</pub-id>
</citation>
</ref>
<ref id="B37">
<label>37</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rhoads</surname> <given-names>J</given-names>
</name>
<name>
<surname>Fatheree</surname> <given-names>N</given-names>
</name>
<name>
<surname>Norori</surname> <given-names>J</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Lucke</surname> <given-names>J</given-names>
</name>
<name>
<surname>Tyson</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Altered fecal microflora and increased fecal calprotectin in infants with colic</article-title>. <source>J pediatr</source> (<year>2009</year>) <volume>155</volume>(<issue>6</issue>):<fpage>823</fpage>&#x2013;<lpage>8.e1</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jpeds.2009.05.012</pub-id>
</citation>
</ref>
<ref id="B38">
<label>38</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ye</surname> <given-names>S</given-names>
</name>
<name>
<surname>Yan</surname> <given-names>F</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Mo</surname> <given-names>X</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Diversity analysis of gut microbiota between healthy controls and those with atopic dermatitis in a Chinese population</article-title>. <source>J Dermatol</source> (<year>2021</year>) <volume>48</volume>(<issue>2</issue>):<page-range>158&#x2013;67</page-range>. doi: <pub-id pub-id-type="doi">10.1111/1346-8138.15530</pub-id>
</citation>
</ref>
<ref id="B39">
<label>39</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zheng</surname> <given-names>H</given-names>
</name>
<name>
<surname>Liang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Miao</surname> <given-names>M</given-names>
</name>
<name>
<surname>Shi</surname> <given-names>T</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>Altered gut microbiota composition associated with eczema in infants</article-title>. <source>PloS One</source> (<year>2016</year>) <volume>11</volume>(<issue>11</issue>):<fpage>e0166026</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0166026</pub-id>
</citation>
</ref>
<ref id="B40">
<label>40</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xu</surname> <given-names>T</given-names>
</name>
<name>
<surname>Ge</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Du</surname> <given-names>H</given-names>
</name>
<name>
<surname>Li</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>X</given-names>
</name>
<name>
<surname>Yi</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>Berberis kansuensis extract alleviates type 2 diabetes in rats by regulating gut microbiota composition</article-title>. <source>J Ethnopharmacol</source> (<year>2021</year>) <volume>273</volume>:<fpage>113995</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jep.2021.113995</pub-id>
</citation>
</ref>
<ref id="B41">
<label>41</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Los-Rycharska</surname> <given-names>E</given-names>
</name>
<name>
<surname>Golebiewski</surname> <given-names>M</given-names>
</name>
<name>
<surname>Sikora</surname> <given-names>M</given-names>
</name>
<name>
<surname>Grzybowski</surname> <given-names>T</given-names>
</name>
<name>
<surname>Gorzkiewicz</surname> <given-names>M</given-names>
</name>
<name>
<surname>Popielarz</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>A combined analysis of gut and skin microbiota in infants with food allergy and atopic dermatitis: A pilot study</article-title>. <source>Nutrients</source> (<year>2021</year>) <volume>13</volume>(<issue>5</issue>):<fpage>1682</fpage>. doi: <pub-id pub-id-type="doi">10.3390/nu13051682</pub-id>
</citation>
</ref>
<ref id="B42">
<label>42</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Huang</surname> <given-names>C</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Du</surname> <given-names>W</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Dai</surname> <given-names>R</given-names>
</name>
<name>
<surname>Tang</surname> <given-names>W</given-names>
</name>
<etal/>
</person-group>. <article-title>Fungal and bacterial microbiome dysbiosis and imbalance of trans-kingdom network in asthma</article-title>. <source>Clin Transl Allergy</source> (<year>2020</year>) <volume>10</volume>:<fpage>42</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s13601-020-00345-8</pub-id>
</citation>
</ref>
<ref id="B43">
<label>43</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Simonyte Sjodin</surname> <given-names>K</given-names>
</name>
<name>
<surname>Vidman</surname> <given-names>L</given-names>
</name>
<name>
<surname>Ryden</surname> <given-names>P</given-names>
</name>
<name>
<surname>West</surname> <given-names>CE</given-names>
</name>
</person-group>. <article-title>Emerging evidence of the role of gut microbiota in the development of allergic diseases</article-title>. <source>Curr Opin Allergy Clin Immunol</source> (<year>2016</year>) <volume>16</volume>(<issue>4</issue>):<page-range>390&#x2013;5</page-range>. doi: <pub-id pub-id-type="doi">10.1097/ACI.0000000000000277</pub-id>
</citation>
</ref>
<ref id="B44">
<label>44</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>van den Bogert</surname> <given-names>B</given-names>
</name>
<name>
<surname>Erkus</surname> <given-names>O</given-names>
</name>
<name>
<surname>Boekhorst</surname> <given-names>J</given-names>
</name>
<name>
<surname>de Goffau</surname> <given-names>M</given-names>
</name>
<name>
<surname>Smid</surname> <given-names>EJ</given-names>
</name>
<name>
<surname>Zoetendal</surname> <given-names>EG</given-names>
</name>
<etal/>
</person-group>. <article-title>Diversity of human small intestinal streptococcus and veillonella populations</article-title>. <source>FEMS Microbiol Ecol</source> (<year>2013</year>) <volume>85</volume>(<issue>2</issue>):<page-range>376&#x2013;88</page-range>. doi: <pub-id pub-id-type="doi">10.1111/1574-6941.12127</pub-id>
</citation>
</ref>
<ref id="B45">
<label>45</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Constantinos</surname> <given-names>M</given-names>
</name>
<name>
<surname>Marios</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>Gemella morbillorum tricuspid valve endocarditis resulting in septic pulmonary emboli in a patient with intracranial hemorrhage</article-title>. <source>Int J Cardiol</source> (<year>2015</year>) <volume>184</volume>:<page-range>769&#x2013;71</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.ijcard.2015.02.094</pub-id>
</citation>
</ref>
<ref id="B46">
<label>46</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Smith</surname> <given-names>PM</given-names>
</name>
<name>
<surname>Howitt</surname> <given-names>MR</given-names>
</name>
<name>
<surname>Panikov</surname> <given-names>N</given-names>
</name>
<name>
<surname>Michaud</surname> <given-names>M</given-names>
</name>
<name>
<surname>Gallini</surname> <given-names>CA</given-names>
</name>
<name>
<surname>Bohlooly</surname> <given-names>YM</given-names>
</name>
<etal/>
</person-group>. <article-title>The microbial metabolites, short-chain fatty acids, regulate colonic treg cell homeostasis</article-title>. <source>Science</source> (<year>2013</year>) <volume>341</volume>(<issue>6145</issue>):<page-range>569&#x2013;73</page-range>. doi: <pub-id pub-id-type="doi">10.1126/science.1241165</pub-id>
</citation>
</ref>
<ref id="B47">
<label>47</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Park</surname> <given-names>YM</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>SY</given-names>
</name>
<name>
<surname>Kang</surname> <given-names>MJ</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>BS</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>MJ</given-names>
</name>
<name>
<surname>Jung</surname> <given-names>SS</given-names>
</name>
<etal/>
</person-group>. <article-title>Imbalance of gut streptococcus, clostridium, and akkermansia determines the natural course of atopic dermatitis in infant</article-title>. <source>Allergy Asthma Immunol Res</source> (<year>2020</year>) <volume>12</volume>(<issue>2</issue>):<page-range>322&#x2013;37</page-range>. doi: <pub-id pub-id-type="doi">10.4168/aair.2020.12.2.322</pub-id>
</citation>
</ref>
<ref id="B48">
<label>48</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kim</surname> <given-names>HK</given-names>
</name>
<name>
<surname>Rutten</surname> <given-names>NB</given-names>
</name>
<name>
<surname>Besseling-van der Vaart</surname> <given-names>I</given-names>
</name>
<name>
<surname>Niers</surname> <given-names>LE</given-names>
</name>
<name>
<surname>Choi</surname> <given-names>YH</given-names>
</name>
<name>
<surname>Rijkers</surname> <given-names>GT</given-names>
</name>
<etal/>
</person-group>. <article-title>Probiotic supplementation influences faecal short chain fatty acids in infants at high risk for eczema</article-title>. <source>Benef Microbes</source> (<year>2015</year>) <volume>6</volume>(<issue>6</issue>):<page-range>783&#x2013;90</page-range>. doi: <pub-id pub-id-type="doi">10.3920/BM2015.0056</pub-id>
</citation>
</ref>
<ref id="B49">
<label>49</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chan</surname> <given-names>CWH</given-names>
</name>
<name>
<surname>Leung</surname> <given-names>TF</given-names>
</name>
<name>
<surname>Choi</surname> <given-names>KC</given-names>
</name>
<name>
<surname>Tsui</surname> <given-names>SKW</given-names>
</name>
<name>
<surname>Wong</surname> <given-names>CL</given-names>
</name>
<name>
<surname>Chow</surname> <given-names>KM</given-names>
</name>
<etal/>
</person-group>. <article-title>Association of early-life gut microbiome and lifestyle factors in the development of eczema in Hong Kong infants</article-title>. <source>Exp Dermatol</source> (<year>2021</year>) <volume>30</volume>(<issue>6</issue>):<page-range>859&#x2013;64</page-range>. doi: <pub-id pub-id-type="doi">10.1111/exd.14280</pub-id>
</citation>
</ref>
<ref id="B50">
<label>50</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chan</surname> <given-names>CWH</given-names>
</name>
<name>
<surname>Yuet Wa Chan</surname> <given-names>J</given-names>
</name>
<name>
<surname>Leung</surname> <given-names>TF</given-names>
</name>
<name>
<surname>Choi</surname> <given-names>KC</given-names>
</name>
<name>
<surname>Tsui</surname> <given-names>SKW</given-names>
</name>
<name>
<surname>Wong</surname> <given-names>CL</given-names>
</name>
<etal/>
</person-group>. <article-title>Altered gut microbiome and environmental factors associated with development of eczema in Hong Kong infants: A 4-month pilot study</article-title>. <source>Int J Environ Res Public Health</source> (<year>2020</year>) <volume>17</volume>(<issue>20</issue>):<page-range>7634</page-range>. doi: <pub-id pub-id-type="doi">10.3390/ijerph17207634</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>