<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="2.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2024.1406149</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Deciphering the shared mechanisms of Gegen Qinlian Decoction in treating type 2 diabetes and ulcerative colitis via bioinformatics and machine learning</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Hu</surname> <given-names>Faquan</given-names></name>
<xref ref-type="author-notes" rid="fn0007"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2405178/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Xiong</surname> <given-names>Liyuan</given-names></name>
<xref ref-type="author-notes" rid="fn0007"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2621384/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Zhengpin</given-names></name>
<uri xlink:href="https://loop.frontiersin.org/people/2295156/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Lingxiu</given-names></name>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Li</given-names></name>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Xinheng</given-names></name>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Zhou</surname> <given-names>Xuemei</given-names></name>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Zheng</surname> <given-names>Yujiao</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/877711/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff><institution>College of Traditional Chinese Medicine, Anhui University of Chinese Medicine</institution>, <addr-line>Hefei</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0008"><p>Edited by: Hari S. Sharma, Erasmus Medical Center, Netherlands</p></fn>
<fn fn-type="edited-by" id="fn0009"><p>Reviewed by: Anna Ermund, University of Gothenburg, Sweden</p>
<p>Jian Liang, Guangzhou University of Chinese Medicine, China</p></fn>
<corresp id="c001">&#x002A;Correspondence: Yujiao Zheng, <email>luoyuorz@163.com</email></corresp>
<corresp id="c002">Xuemei Zhou, <email>zhouxmei0868@sina.com</email></corresp>
<fn fn-type="equal" id="fn0007"><p><sup>&#x2020;</sup>These authors share first authorship</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>06</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>11</volume>
<elocation-id>1406149</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>03</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>06</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Hu, Xiong, Li, Li, Wang, Wang, Zhou and Zheng.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Hu, Xiong, Li, Li, Wang, Wang, Zhou and Zheng</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 id="sec1">
<title>Background</title>
<p>Although previous clinical studies and animal experiments have demonstrated the efficacy of Gegen Qinlian Decoction (GQD) in treating Type 2 Diabetes Mellitus (T2DM) and Ulcerative Colitis (UC), the underlying mechanisms of its therapeutic effects remain elusive.</p>
</sec>
<sec id="sec2">
<title>Purpose</title>
<p>This study aims to investigate the shared pathogenic mechanisms between T2DM and UC and elucidate the mechanisms through which GQD modulates these diseases using bioinformatics approaches.</p>
</sec>
<sec id="sec3">
<title>Methods</title>
<p>Data for this study were sourced from the Gene Expression Omnibus (GEO) database. Targets of GQD were identified using PharmMapper and SwissTargetPrediction, while targets associated with T2DM and UC were compiled from the DrugBank, GeneCards, Therapeutic Target Database (TTD), DisGeNET databases, and differentially expressed genes (DEGs). Our analysis encompassed six approaches: weighted gene co-expression network analysis (WGCNA), immune infiltration analysis, single-cell sequencing analysis, machine learning, DEG analysis, and network pharmacology.</p>
</sec>
<sec id="sec4">
<title>Results</title>
<p>Through GO and KEGG analysis of weighted gene co-expression network analysis (WGCNA) modular genes and DEGs intersection, we found that the co-morbidity between T2DM and UC is primarily associated with immune-inflammatory pathways, including IL-17, TNF, chemokine, and toll-like receptor signaling pathways. Immune infiltration analysis supported these findings. Three distinct machine learning studies identified IGFBP3 as a biomarker for GQD in treating T2DM, while BACE2, EPHB4, and EPHA2 emerged as biomarkers for GQD in UC treatment. Network pharmacology revealed that GQD treatment for T2DM and UC mainly targets immune-inflammatory pathways like Toll-like receptor, IL-17, TNF, MAPK, and PI3K-Akt signaling pathways.</p>
</sec>
<sec id="sec5">
<title>Conclusion</title>
<p>This study provides insights into the shared pathogenesis of T2DM and UC and clarifies the regulatory mechanisms of GQD on these conditions. It also proposes novel targets and therapeutic strategies for individuals suffering from T2DM and UC.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Gegen Qinlian Decoction</kwd>
<kwd>type 2 diabetes</kwd>
<kwd>ulcerative colitis</kwd>
<kwd>bioinformatics</kwd>
<kwd>network pharmacology</kwd>
<kwd>traditional Chinese medicine</kwd>
</kwd-group>
<counts>
<fig-count count="9"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="63"/>
<page-count count="18"/>
<word-count count="8223"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Precision Medicine</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec6">
<label>1</label>
<title>Introduction</title>
<p>Emerging research posits that chronic tissue inflammation is a central player in the pathogenesis of Type 2 Diabetes Mellitus (T2DM), characterized by a state of low-grade inflammation (<xref ref-type="bibr" rid="ref1">1</xref>). The disturbance in gut mucosal ecology in individuals with T2DM, combined with the active migration of intestinal flora to mesenteric adipose tissue (MAT) and the bloodstream, results in a continuous influx of inflammatory antigens (<xref ref-type="bibr" rid="ref2">2</xref>). Ulcerative colitis (UC) is a chronic, nonspecific inflammatory condition characterized by extensive mucosal inflammation in the colon (<xref ref-type="bibr" rid="ref3">3</xref>), typically arising from an imbalance between the gut flora and the immune system (<xref ref-type="bibr" rid="ref4">4</xref>). Although T2DM and UC share common features, such as disruptions in gut microbiota and intestinal mucosa inflammation, the precise mechanisms underlying their co-occurrence remain unclear.</p>
<p>Currently, there is no cure for Type 2 diabetes. Despite the recent successful development of numerous antidiabetic drugs, single-target treatments are increasingly seen as inadequate due to individual variations, diverse pathogenesis, and issues related to drug and body resistance (<xref ref-type="bibr" rid="ref5">5</xref>). Similarly, ulcerative colitis carries a heightened risk of adverse events, treatment resistance, and loss of response over time, highlighting the limitations of current therapies (<xref ref-type="bibr" rid="ref6">6</xref>). Thus, multi-target drugs offer greater potential advantages over single-target drugs, underscoring the need to continually identify new targets to develop effective and safe therapies. Traditional Chinese medicine formulations are characterized by their multi-component approach, targeting multiple pathways and targets simultaneously.</p>
<p>The venerable Chinese herbal prescription, Gegen Qinlian Decoction (GQD), traces its origins to the era of the Eastern Han Dynasty. This formulation, consisting of four vital herbs&#x2014;<italic>Radix puerariae</italic>, <italic>Radix scutellariae, Rhizoma coptidis</italic>, and <italic>Glycyrrhizae Radix,</italic> represents a traditional prescription deeply rooted in the principles of Traditional Chinese Medicine (TCM), specifically tailored for addressing intestinal damp-heat syndrome. A large-scale randomized controlled study (RCT) has demonstrated GQD&#x2019;s efficacy in significantly lowering HbA1c and fasting blood glucose (FBG) levels, offering relief in cases of T2DM (<xref ref-type="bibr" rid="ref7">7</xref>). Animal experiments suggest that GQD may mitigate systemic and local inflammation by promoting the enrichment of butyrate-producing intestinal flora, thereby ameliorating clinical manifestations associated with T2DM (<xref ref-type="bibr" rid="ref8">8</xref>). Meta-analyses have shown that GQD effectively alleviates symptoms in individuals with UC, resulting in decreased Ulcerative Colitis Endoscopic Index of Severity (UCEIS) scores and maintaining a low recurrence rate, all while exhibiting minimal adverse events (<xref ref-type="bibr" rid="ref9">9</xref>). Furthermore, additional animal studies have elucidated the mechanisms underlying GQD&#x2019;s therapeutic effects in alleviating ulcerative colitis, including the reduction of inflammation and oxidative stress, inhibition of the IL-6/JAK2/STAT3 signaling pathway, restoration of the balance between Treg and Th17 cells in colonic tissues, and enhancement of intestinal barrier function (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref11">11</xref>).</p>
<p>As bioinformatics advances and the widespread adoption of gene chips continue, their integration into the biomedical domain has become indispensable. The analysis of microarray data emerges as a transformative tool, offering fresh insights into the shared etiological underpinnings of both T2DM and UC. In this investigation, a comprehensive strategy merging bioinformatics and machine learning was employed, drawing upon datasets from the GEO database to unravel the intertwined comorbid mechanisms associated with T2DM and UC. Furthermore, our study delved into network pharmacology, shedding light on the intricate mechanisms governing the utilization of GQD across diverse diseases sharing a common treatment modality (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Workflow diagram illustrating the research strategy, encompassing five main components: database preparation, exploration of co-morbidity mechanisms in T2DM and UC, biomarker prediction for GQD treatment, and network pharmacology along with molecular docking analyses.</p>
</caption>
<graphic xlink:href="fmed-11-1406149-g001.tif"/>
</fig>
</sec>
<sec sec-type="methods" id="sec7">
<label>2</label>
<title>Methods</title>
<sec id="sec8">
<label>2.1</label>
<title>Datasets</title>
<p>We queried the GEO database<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref> to retrieve gene expression profiles of individuals diagnosed with Type 2 Diabetes Mellitus (T2DM) and Ulcerative Colitis (UC), using search terms such as &#x201C;type 2 diabetes&#x201D; and &#x201C;ulcerative colitis.&#x201D; For the subsequent phase of our investigation, we selected the following GEO datasets: GSE3365, GSE48958, GSE75214, GSE231993, GSE20966, GSE25724, GSE29221, and GSE220939 (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Data sets and their characteristics.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Dataset</th>
<th align="center" valign="top">Database</th>
<th align="center" valign="top">Platform</th>
<th align="left" valign="top">Sample</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">GSE3365</td>
<td align="center" valign="top">GEO</td>
<td align="center" valign="top">GPL96</td>
<td align="left" valign="top">26 cases of UC and 42 controls</td>
</tr>
<tr>
<td align="left" valign="top">GSE48958</td>
<td align="center" valign="top">GEO</td>
<td align="center" valign="top">GPL6244</td>
<td align="left" valign="top">13 cases of UC and 8 controls</td>
</tr>
<tr>
<td align="left" valign="top">GSE75214</td>
<td align="center" valign="top">GEO</td>
<td align="center" valign="top">GPL6244</td>
<td align="left" valign="top">97 cases of UC and 11 controls</td>
</tr>
<tr>
<td align="left" valign="top">GSE231993</td>
<td align="center" valign="top">GEO</td>
<td align="center" valign="top">GPL18573</td>
<td align="left" valign="top">4 cases of UC and 4 controls</td>
</tr>
<tr>
<td align="left" valign="top">GSE20966</td>
<td align="center" valign="top">GEO</td>
<td align="center" valign="top">GPL1352</td>
<td align="left" valign="top">10 cases of T2DM and 10 controls</td>
</tr>
<tr>
<td align="left" valign="top">GSE25724</td>
<td align="center" valign="top">GEO</td>
<td align="center" valign="top">GPL96</td>
<td align="left" valign="top">6 cases of T2DM and 7 controls</td>
</tr>
<tr>
<td align="left" valign="top">GSE29221</td>
<td align="center" valign="top">GEO</td>
<td align="center" valign="top">GPL6947</td>
<td align="left" valign="top">3 cases of T2DM and 3 controls</td>
</tr>
<tr>
<td align="left" valign="top">GSE220939</td>
<td align="center" valign="top">GEO</td>
<td align="center" valign="top">GPL11154</td>
<td align="left" valign="top">16 cases of T2DM and 6 controls</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec9">
<label>2.2</label>
<title>Construction of weighted gene co-expression networks</title>
<p>We leveraged Weighted Gene Co-Expression Network Analysis (WGCNA) to pinpoint clusters of closely linked genes. Applying WGCNA, we scrutinized the differential genes within the GEO datasets GSE20966 and GSE75214, unveiling co-expression modules and pivotal genes intricately linked to both T2DM and UC. In the dataset about T2DM, the outlier GSM524165 was omitted, and subsequent parameter selection involved R2&#x2009;=&#x2009;0.85 and &#x03B2;&#x2009;=&#x2009;9. In the case of the UC dataset, parameters R2&#x2009;=&#x2009;0.85 and &#x03B2;&#x2009;=&#x2009;8 were applied. The matrices undergo sequential transformation and derivation, ultimately yielding the Topological Overlap Matrix (TOM). Hierarchical clustering, with a minimum module size set at 30, is employed to identify modules. Subsequently, feature genes are computed, and hierarchical clustering is applied to the modules. Ultimately, we identified the common genes within the top three significantly ranked modules associated with both T2DM and UC. Subsequently, we subjected these intersecting genes to a thorough GO enrichment analysis.</p>
</sec>
<sec id="sec10">
<label>2.3</label>
<title>Acquisition of differentially expressed genes (DEGs)</title>
<p>The study analyzed the DEGs using the GSE25724 and GSE48958 datasets. The initial gene expression data undergoes thorough cleaning, with the Robust Multi-array Average (RMA) method employed to equalize sample differences. Subsequently, gene name normalization is necessary to eliminate empty columns and duplicate values, ensuring the acquisition of normalized expression data. Our analysis utilized the R limma package, employing a filtering criterion for DEGs set at |logFC|&#x2009;&#x2265;&#x2009;1 and a <italic>p</italic>-value threshold of &#x003C;0.05. We proceeded to identify the common genes between the two sets of DEGs and subjected this intersection to KEGG pathway enrichment analysis.</p>
</sec>
<sec id="sec11">
<label>2.4</label>
<title>Immune infiltration analysis</title>
<p>To precisely evaluate the composition of immune cells in UC compared to T2DM, we conducted calculations utilizing the CIBERSORT algorithm. We utilized the authentic CIBERSORT gene signature file that delineates 22 immune cell subtypes for analyzing the T2DM versus UC dataset. A significance level of <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05 denotes a meaningful difference. The datasets utilized were GSE3365 and GSE29221.</p>
</sec>
<sec id="sec12">
<label>2.5</label>
<title>Network pharmacology analysis</title>
<sec id="sec13">
<label>2.5.1</label>
<title>Acquisition of GQD active ingredients and target proteins</title>
<p>UPLC-Q-TOF/MS analysis revealed a comprehensive profile of 130 active chemical components, out of which 37 components met the criteria of Oral Bioavailability (OB)&#x2009;&#x2265;&#x2009;30% and Drug-Likeness (DL)&#x2009;&#x2265;&#x2009;0.18 (<xref ref-type="bibr" rid="ref12">12</xref>). Retrieve the 2D structure of the compound from the PubChem database.<xref ref-type="fn" rid="fn0002"><sup>2</sup></xref> Chemical targets were then predicted using PharmMapper and SwissTargetPrediction (<xref ref-type="bibr" rid="ref13">13</xref>).</p>
</sec>
<sec id="sec14">
<label>2.5.2</label>
<title>Predictive hub genes for GQD treatment</title>
<p>We employed three machine learning algorithms to systematically screen biomarker targets associated with GQDs for the treatment of T2DM and UC, respectively. LASSO logistic regression selectively assigns coefficients to significant variables by imposing an L1 penalty to remove less relevant ones, thus optimizing the classification model. SVM-RFE analysis, a supervised learning approach, identifies key genes by iteratively eliminating feature vectors derived from SVM. Random forest analysis, rooted in decision trees, evaluates variable importance by scoring each variable (<xref ref-type="bibr" rid="ref14">14</xref>). The seed was set to 123 for consistency in the analysis. The targets of GQD were compared with the DEGs of T2DM and modules from WGCNA that exhibited a positive correlation with T2DM at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05. The overlapping elements from these three sets were analyzed, and a parallel approach was applied to UC. To enhance diagnostic accuracy and prediction capabilities, diagnostic nomograms were created utilizing hub genes as the foundation.</p>
</sec>
<sec id="sec15">
<label>2.5.3</label>
<title>Common targets of GQD for the treatment of T2DM and UC</title>
<p>Disease-associated targets were queried in the DrugBank,<xref ref-type="fn" rid="fn0003"><sup>3</sup></xref> GeneCards,<xref ref-type="fn" rid="fn0004"><sup>4</sup></xref> TTD,<xref ref-type="fn" rid="fn0005"><sup>5</sup></xref> and DisGeNET<xref ref-type="fn" rid="fn0006"><sup>6</sup></xref> databases using the keywords &#x201C;Type 2 diabetes&#x201D; and &#x201C;Ulcerative colitis&#x201D; (<xref ref-type="bibr" rid="ref15">15</xref>, <xref ref-type="bibr" rid="ref16">16</xref>). Targets occurring in at least two instances across DrugBank, GeneCards, TTD, DisGeNET, and DEGs datasets are identified as disease targets. The ultimate selection comprises overlapping genes from the targets associated with T2DM, UC, and GQD, serving as potential common targets for GQD treatment of both T2DM and UC.</p>
</sec>
<sec id="sec16">
<label>2.5.4</label>
<title>Protein&#x2013;protein interaction (PPI) network</title>
<p>TSV files of PPI were obtained by uploading potential therapeutic target genes into the STRING database and constructing networks in Cytoscape 3.9.1. We employed the cytoHubba plugin and computed parameters such as Degree Centrality (DC), Betweenness Centrality (BC), Closeness Centrality (CC), and Maximal Clique Centrality (MCC). Central genes were identified through two methods: firstly, by calculating the top ten targets ranked by each of the four parameters and then determining the overlap among them; secondly, by utilizing the MCODE plugin for cluster analysis, generating a highly connected sub-network.</p>
</sec>
<sec id="sec17">
<label>2.5.5</label>
<title>The analysis of GO and KEGG</title>
<p>To comprehend the shared physiological mechanisms of GQD for both T2DM and UC, we conducted GO and KEGG enrichment analyses of therapeutic targets using the R language. Significance thresholds were set at <italic>p</italic>&#x2009;&#x2264;&#x2009;0.05 and <italic>q</italic>&#x2009;&#x2264;&#x2009;0.01, and the outcomes were visually presented for comprehensive understanding.</p>
</sec>
<sec id="sec18">
<label>2.5.6</label>
<title>Molecular docking</title>
<p>Key genes were selected from the PPI sub-network, and core chemicals were screened from the drug target network map for subsequent molecular docking analysis. The structures of the core active ingredients were sourced from online databases. Protein stereo structures were also retrieved from databases and subjected to dehydration, hydrogenation, and removal of impurity ligands using PYMOL software. Following that, molecular docking analysis was conducted using Autodock, and the results were graphically presented.</p>
</sec>
</sec>
<sec id="sec19">
<label>2.6</label>
<title>Single-cell sequencing analysis</title>
<p>Seurat objects were initialized by loading gene expression data from the GEO database via the read10X function. Cell curation involved preserving those with a gene count between &#x003E;200 and&#x2009;&#x003C;&#x2009;10,000, while filtering out those with mitochondrial and ribosomal gene proportions exceeding 20%. Following this, standardization and normalization procedures were applied for data uniformity. Spatial relationships between clusters were evaluated using the tSNE method, and subsequent cluster annotations were conducted using the celldex package. The reclassification of cell subpopulations was accomplished through the singleR annotation tool, concurrent with referencing the Thermofisher website to identify genes characterizing different immune cell types. Following observation of the expression patterns of these genes within the clustering results, a manual classification of immune cell classes was performed for annotation purposes. Finally, we have successfully visualized the expression patterns of GQD targets at the single-cell level and elucidated the distribution of the seven core targets.</p>
</sec>
<sec id="sec20">
<label>2.7</label>
<title>Statistical analysis</title>
<p>The R packages utilized in this study include WGCNA, GEOquery, reshape2, ggfortify, limma, pheatmap, ggplot2, org.Hs.eg.db, pathview, topGO, and Rgraphviz.</p>
</sec>
</sec>
<sec sec-type="results" id="sec21">
<label>3</label>
<title>Results</title>
<sec id="sec22">
<label>3.1</label>
<title>Construction of WGCNA network</title>
<p>WGCNA analysis revealed that in T2DM, higher independence and greater biological significance were observed at &#x03B2;&#x2009;=&#x2009;9. Similarly, for UC, the optimal fit was achieved at &#x03B2;&#x2009;=&#x2009;8 (<xref ref-type="fig" rid="fig2">Figures 2A</xref>,<xref ref-type="fig" rid="fig2">B</xref>). When reaching the optimal fit, a hierarchical clustering dendrogram was generated, allowing the classification of similar gene expressions into distinct modules. The expression profiles within each module were then summarized using modular eigengenes (MEs), and correlations between MEs and clinical features were subsequently calculated. In T2DM, a total of 24 modules were identified, with each color denoting a distinct module. Heat maps illustrating module-trait relationships were constructed based on Spearman correlation coefficients to evaluate the association between each module and the disease (<xref ref-type="fig" rid="fig2">Figures 2C</xref>,<xref ref-type="fig" rid="fig2">D</xref>, and <xref rid="SM1" ref-type="supplementary-material">Supplementary Table S1</xref>). In the heat map depicting module-trait relationships, cyan signifies a negative correlation, red indicates a positive correlation, and white denotes no correlation. Six modules, namely pale turquoise, turquoise, white, dark gray, pink, and violet, exhibit substantial positive correlations with T2DM, thus qualifying them as T2DM positively correlated modules (pale turquoise module: <italic>r</italic>&#x2009;=&#x2009;0.58, <italic>p</italic>&#x2009;=&#x2009;0.009; turquoise module: <italic>r</italic>&#x2009;=&#x2009;0.53, <italic>p</italic>&#x2009;=&#x2009;0.02; white module: <italic>r</italic>&#x2009;=&#x2009;0.59, <italic>p</italic>&#x2009;=&#x2009;0.008, dark gray module: <italic>r</italic>&#x2009;=&#x2009;0.52, p&#x2009;=&#x2009;0.02, pink module: <italic>r</italic>&#x2009;=&#x2009;0.67, <italic>p</italic>&#x2009;=&#x2009;0.002, violet module: <italic>r</italic>&#x2009;=&#x2009;0.66, p&#x2009;=&#x2009;0.002). Likewise, in UC, 22 modules were identified, among which lightsteelblue1, black, mediumpurple3, green, darkolivegreen, orange4, plum1, and thistle1 exhibited positive correlations with UC (lightsteelblue1 module: <italic>r</italic>&#x2009;=&#x2009;0.25, <italic>p</italic>&#x2009;=&#x2009;0.009; black module: <italic>r</italic>&#x2009;=&#x2009;0.40, <italic>p</italic>&#x2009;=&#x2009;2e-05; mediumpurple3 module: <italic>r</italic>&#x2009;=&#x2009;0.24, <italic>p</italic>&#x2009;=&#x2009;0.01, green module: <italic>r</italic>&#x2009;=&#x2009;0.24, <italic>p</italic>&#x2009;=&#x2009;0.01, darkolivegreen module: <italic>r</italic>&#x2009;=&#x2009;0.24, <italic>p</italic>&#x2009;=&#x2009;0.01, orange4 module: <italic>r</italic>&#x2009;=&#x2009;0.27, <italic>p</italic>&#x2009;=&#x2009;0.005, plum1 module: <italic>r</italic>&#x2009;=&#x2009;0.46, <italic>p</italic>&#x2009;=&#x2009;5e-07, thistle1 module: <italic>r</italic>&#x2009;=&#x2009;0.49, <italic>p</italic>&#x2009;=&#x2009;7e-08) (<xref ref-type="fig" rid="fig2">Figures 2E</xref>,<xref ref-type="fig" rid="fig2">F</xref>, and <xref rid="SM1" ref-type="supplementary-material">Supplementary Table S2</xref>). Biological process analysis indicates that the interacting genes are primarily engaged in regulating the immune system and activating immune cells, among other functions (<xref ref-type="fig" rid="fig2">Figure 2G</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Weighted gene co-expression networks. <bold>(A)</bold> Scale independence and average connectivity in GSE20966. <bold>(B)</bold> Scale independence and average connectivity in GSE75214. <bold>(C)</bold> Different modules obtained from GSE20966 are displayed in various colors, aggregating genes of high relevance within each module. <bold>(D)</bold> Correlation analysis between modules and T2DM. <bold>(E)</bold> Different modules obtained from GSE75214 are displayed in various colors, aggregating genes of high relevance within each module. <bold>(F)</bold> Correlation analysis between modules and UC. <bold>(G)</bold> Biological process analysis of T2DM and UC module intercourse genes.</p>
</caption>
<graphic xlink:href="fmed-11-1406149-g002.tif"/>
</fig>
</sec>
<sec id="sec23">
<label>3.2</label>
<title>Identification of DEGs</title>
<p>With the limma package, we identified 70 genes exhibiting high expression levels and 1,171 genes showing low expression levels associated with T2DM. Similarly, in UC, 236 genes were found to be highly expressed, while 168 genes exhibited low expression levels (<xref ref-type="fig" rid="fig3">Figures 3A</xref>&#x2013;<xref ref-type="fig" rid="fig3">D</xref>, and <xref rid="SM1" ref-type="supplementary-material">Supplementary Tables S3, S4</xref>). The KEGG enrichment analysis of overlapping genes predominantly focused on pathways involving IL-17, TNF, Chemokine, and Toll-like receptor signaling pathways, indicating that the shared mechanism between T2DM and UC may be linked to immunity and inflammation (<xref ref-type="fig" rid="fig3">Figures 3E</xref>&#x2013;<xref ref-type="fig" rid="fig3">H</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Acquisition of DEGs in T2DM and UC and KEGG enrichment analysis of genes intersecting both DEGs. <bold>(A)</bold> Volcano plot depicting the DEGs associated with T2DM (GSE25724). <bold>(B)</bold> Heatmap illustrating the DEGs associated with T2DM (GSE25724). <bold>(C)</bold> Volcano plot showing the DEGs associated with UC (GSE48958). <bold>(D)</bold> Heatmap displaying the DEGs associated with UC (GSE48958). <bold>(E)</bold> Chemokine signaling pathway. <bold>(F)</bold> Toll-like receptor signaling pathway. <bold>(G)</bold> IL-17 signaling pathway. <bold>(H)</bold> TNF signaling pathway. DEGs, Differentially Expressed Genes.</p>
</caption>
<graphic xlink:href="fmed-11-1406149-g003.tif"/>
</fig>
</sec>
<sec id="sec24">
<label>3.3</label>
<title>Immune infiltration analysis</title>
<p>The findings indicate a close association between the pathogenesis of T2DM and UC with the immune system (<xref ref-type="fig" rid="fig4">Figures 4A</xref>&#x2013;<xref ref-type="fig" rid="fig4">D</xref>). In the T2DM group, there were observed differences in both the T cell population and resting NK cells compared to the normal group (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). Compared to the normal group, significant differences (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) were observed in Plasma cells, T cells regulatory (Tregs), NK cells resting, Neutrophils, NK cells activated, Monocytes, and Dendritic cells activated in UC.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Immune infiltration analysis. <bold>(A)</bold> Boxplots for T2DM immune infiltration analysis. <bold>(B)</bold> Bar graph for T2DM immune infiltration analysis. <bold>(C)</bold> Boxplots for UC immune infiltration analysis. <bold>(D)</bold> Bar graph for UC immune infiltration analysis (&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05, &#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01, &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001).</p>
</caption>
<graphic xlink:href="fmed-11-1406149-g004.tif"/>
</fig>
</sec>
<sec id="sec25">
<label>3.4</label>
<title>Predictive hub genes for GQD treatment</title>
<p>Potential targets for 37 core chemicals were identified through PharmMapper and SwissTargetPrediction. Afterward, the obtained results underwent the removal of identical values, culminating in a total of 444 targets (<xref rid="SM1" ref-type="supplementary-material">Supplementary Tables S5, S6</xref>). When employing the SVM-RFE method, we conducted 10-fold cross-validation. In the identification of core targets of GQD for treating T2DM, SVM-RFE achieved the highest accuracy of 95% with 73 features. LASSO identified 10 core targets, while RF identified one target. The intersection of core targets identified by the three models resulted in one core therapeutic target, IGFBP3 (<xref ref-type="fig" rid="fig5">Figures 5A</xref>&#x2013;<xref ref-type="fig" rid="fig5">D</xref>). Applying a similar approach to identify core targets for GQD treatment of UC, SVM-RFE identified 9 core targets, LASSO also identified 9 core targets, and RF identified 37 core targets. The final intersection yielded 3 core targets: BACE2, EPHB4, and EPHA2 (<xref ref-type="fig" rid="fig5">Figures 5E</xref>&#x2013;<xref ref-type="fig" rid="fig5">H</xref>). Nomograms and ROC curves depict the robust diagnostic potential of pivotal genes for both T2DM and UC (<xref ref-type="fig" rid="fig5">Figures 5I</xref>&#x2013;<xref ref-type="fig" rid="fig5">N</xref>).</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Predictive Biomarkers for GQD Treatment. <bold>(A)</bold> SVM-REF analysis of T2DM. <bold>(B)</bold> LASSO analysis of T2DM. <bold>(C,D)</bold> Random Forest analysis of T2DM. <bold>(E)</bold> SVM-REF analysis of UC. <bold>(F)</bold> LASSO analysis of UC. <bold>(G,H)</bold> Random Forest analysis of UC. <bold>(I)</bold> Nomograms of UC marker genes. <bold>(J&#x2013;L)</bold> ROC curves for UC marker genes. <bold>(M)</bold> Nomograms of T2DM marker genes. <bold>(N)</bold> ROC curves for T2DM marker genes.</p>
</caption>
<graphic xlink:href="fmed-11-1406149-g005a.tif"/>
<graphic xlink:href="fmed-11-1406149-g005b.tif"/>
</fig>
</sec>
<sec id="sec26">
<label>3.5</label>
<title>Common targets of GQD for the treatment of T2DM and UC</title>
<p>From the DrugBank database, we retrieved 150 targets associated with T2DM and 66 targets associated with UC. Additionally, GeneCard yielded 17,916 targets for T2DM and 5,282 targets for UC, while DisGeNET provided 2,359 targets for T2DM and 1,458 targets for UC. Furthermore, TTD identified 88 targets for T2DM and 48 targets for UC. After performing the process of removing duplicates, taking targets that appear at least twice in five databases&#x2014;DrugBank, GeneCards, TTD, DisGeNET, and DEGs&#x2014;and then intersecting them with the GQD target as a common target for GQD treatment of T2DM and UC. Subsequently, a total of 97 potential common targets were finalized (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table S7</xref>).</p>
</sec>
<sec id="sec27">
<label>3.6</label>
<title>PPI network</title>
<p>For the identification of common core targets of GQD for the treatment of T2DM and UC, we conducted an in-depth analysis of 97 targets using Cytoscape (<xref ref-type="fig" rid="fig6">Figure 6A</xref>). By considering the genes identified in the overlapping sections of the four algorithms, including DC, BC, CC, and NCC, we ultimately identified seven core target proteins of GQD for managing T2DM concomitant with UC (<xref ref-type="fig" rid="fig6">Figures 6B</xref>&#x2013;<xref ref-type="fig" rid="fig6">E</xref>). The application of the MCODE plugin in cluster analysis generated highly connected sub-networks. The highest-scoring network comprised a total of 30 targets, among which the seven core targets identified previously were also encompassed (<xref ref-type="fig" rid="fig6">Figure 6F</xref>).</p>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Protein-Protein interaction (PPI) network. <bold>(A)</bold> Analysis results of PPI network. <bold>(B)</bold> Betweenness centrality. <bold>(C)</bold> Closeness centrality. <bold>(D)</bold> Degree centrality. <bold>(E)</bold> Neighborhood Component Analysis. <bold>(F)</bold> MCODE plugin cluster analysis.</p>
</caption>
<graphic xlink:href="fmed-11-1406149-g006.tif"/>
</fig>
</sec>
<sec id="sec28">
<label>3.7</label>
<title>GO, KEGG enrichment analysis</title>
<p>GO enrichment analysis revealed significant enrichment (<italic>p</italic>-value &#x2264;0.05, <italic>q</italic>-value &#x003C;0.01) in 1784 biological processes (BP), 105 molecular functions (MF), and 50 cellular components (CC) (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table S8</xref>). Among these, BP mainly encompasses immune-inflammatory responses, oxidative stress, etc.; CC mainly involves membrane raft, and MF mainly includes tyrosine kinase activity, insulin receptor substrate binding, phosphatase binding, heme binding, etc. (<xref ref-type="fig" rid="fig7">Figures 7A</xref>&#x2013;<xref ref-type="fig" rid="fig7">C</xref>). The KEGG enrichment analysis of potential therapeutic targets for GQD revealed pathways related to immunoinflammation, among others, indicating a broader spectrum of pathways beyond just immunoinflammatory regulation (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table S9</xref>). We visualize the top 30 results, as well as results specifically related to immunization (<xref ref-type="fig" rid="fig7">Figures 7D</xref>,<xref ref-type="fig" rid="fig7">E</xref>).</p>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption>
<p>GO, KEGG enrichment analysis. <bold>(A)</bold> Biological process. <bold>(B)</bold> Cellular composition. <bold>(C)</bold> Molecular function. <bold>(D)</bold> Bubble plots of the first 30 pathways analyzed by KEGG enrichment. <bold>(E)</bold> KEGG enrichment analysis of immune-related pathways.</p>
</caption>
<graphic xlink:href="fmed-11-1406149-g007.tif"/>
</fig>
</sec>
<sec id="sec29">
<label>3.8</label>
<title>Molecular docking</title>
<p>To validate our findings, we assessed the interactions between the identified active drugs and targets through molecular docking analysis. Our PPI network analysis revealed 7 core targets (AKT1, BCL2, EGFR, ESR1, PTGS2, STAT3, and TNF). Additionally, through drug-component-target network mapping, we identified 7 core chemical components of GQD: Berlambine, Palmatine, Moslosooflavone, Quercetin, Moupinamide, Panicolin, and Baicalein. Before docking, we transformed the core components and targets into the required format (<xref ref-type="fig" rid="fig8">Figure 8A</xref> and <xref ref-type="table" rid="tab2">Table 2</xref>). The outcomes of the 49 docking combinations are represented through heatmaps and tables, highlighting the top 5 combinations exhibiting the strongest binding energy, which are then visualized in greater detail (<xref ref-type="fig" rid="fig8">Figures 8B</xref>&#x2013;<xref ref-type="fig" rid="fig8">G</xref> and <xref ref-type="table" rid="tab3">Table 3</xref>). In our molecular docking findings, it&#x2019;s evident that Berlambine and Palmatine exhibit the strongest binding affinity to the core target.</p>
<fig position="float" id="fig8">
<label>Figure 8</label>
<caption>
<p>Molecular docking results. <bold>(A)</bold> Drug-constituent-target network diagram (the larger the value of degree in the diagram, the larger the node). <bold>(B)</bold> Heat map of molecular docking (kcal/mol). Berlambine &#x2013; TNF <bold>(C)</bold>, Berlambine &#x2013; BCL2 <bold>(D)</bold>, Berlambine &#x2013; PTGS2 <bold>(E)</bold>, Palmatine &#x2013; TNF <bold>(F)</bold>, Berlambine &#x2013; EGFR <bold>(G)</bold>.</p>
</caption>
<graphic xlink:href="fmed-11-1406149-g008.tif"/>
</fig>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Proteins and chemicals information.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Molecule name</th>
<th align="center" valign="top">PubChem ID</th>
<th align="center" valign="top">Target</th>
<th align="center" valign="top">PDB ID</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Berlambine</td>
<td align="center" valign="top">11066</td>
<td align="center" valign="top">EGFR</td>
<td align="center" valign="top">2ITV</td>
</tr>
<tr>
<td align="left" valign="top">Palmatine</td>
<td align="center" valign="top">19009</td>
<td align="center" valign="top">TNF</td>
<td align="center" valign="top">7KP9</td>
</tr>
<tr>
<td align="left" valign="top">Moslosooflavone</td>
<td align="center" valign="top">188316</td>
<td align="center" valign="top">PTGS2</td>
<td align="center" valign="top">1PXX</td>
</tr>
<tr>
<td align="left" valign="top">Quercetin</td>
<td align="center" valign="top">5280343</td>
<td align="center" valign="top">STAT3</td>
<td align="center" valign="top">6NJS</td>
</tr>
<tr>
<td align="left" valign="top">Moupinamide</td>
<td align="center" valign="top">5280537</td>
<td align="center" valign="top">ESR1</td>
<td align="center" valign="top">4XI3</td>
</tr>
<tr>
<td align="left" valign="top">Panicolin</td>
<td align="center" valign="top">5320399</td>
<td align="center" valign="top">AKT1</td>
<td align="center" valign="top">5AAR</td>
</tr>
<tr>
<td align="left" valign="top">Baicalein</td>
<td align="center" valign="top">5281605</td>
<td align="center" valign="top">BCL2</td>
<td align="center" valign="top">1G5M</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Binding energy.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top">EGFR</th>
<th align="center" valign="top">TNF</th>
<th align="center" valign="top">PTGS2</th>
<th align="center" valign="top">STAT3</th>
<th align="center" valign="top">ESR1</th>
<th align="center" valign="top">AKT1</th>
<th align="center" valign="top">BCL2</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Berlambine</td>
<td align="center" valign="top">&#x2212;6.5</td>
<td align="center" valign="top">&#x2212;7.9</td>
<td align="center" valign="top">&#x2212;6.71</td>
<td align="center" valign="top">&#x2212;4.64</td>
<td align="center" valign="top">&#x2212;4.16</td>
<td align="center" valign="top">&#x2212;5.4</td>
<td align="center" valign="top">&#x2212;6.97</td>
</tr>
<tr>
<td align="left" valign="top">Palmatine</td>
<td align="center" valign="top">&#x2212;4.47</td>
<td align="center" valign="top">&#x2212;6.62</td>
<td align="center" valign="top">&#x2212;5.15</td>
<td align="center" valign="top">&#x2212;4.62</td>
<td align="center" valign="top">&#x2212;4.41</td>
<td align="center" valign="top">&#x2212;5.75</td>
<td align="center" valign="top">&#x2212;6.35</td>
</tr>
<tr>
<td align="left" valign="top">Moslosooflavone</td>
<td align="center" valign="top">&#x2212;5.05</td>
<td align="center" valign="top">&#x2212;5.91</td>
<td align="center" valign="top">&#x2212;5.03</td>
<td align="center" valign="top">&#x2212;3.83</td>
<td align="center" valign="top">&#x2212;4.66</td>
<td align="center" valign="top">&#x2212;5.26</td>
<td align="center" valign="top">&#x2212;5.47</td>
</tr>
<tr>
<td align="left" valign="top">Quercetin</td>
<td align="center" valign="top">&#x2212;2.81</td>
<td align="center" valign="top">&#x2212;6.42</td>
<td align="center" valign="top">&#x2212;4.18</td>
<td align="center" valign="top">&#x2212;3.6</td>
<td align="center" valign="top">&#x2212;3.22</td>
<td align="center" valign="top">&#x2212;4.49</td>
<td align="center" valign="top">&#x2212;4.78</td>
</tr>
<tr>
<td align="left" valign="top">Moupinamide</td>
<td align="center" valign="top">&#x2212;3.5</td>
<td align="center" valign="top">&#x2212;6.49</td>
<td align="center" valign="top">&#x2212;5.14</td>
<td align="center" valign="top">&#x2212;3.07</td>
<td align="center" valign="top">&#x2212;4.57</td>
<td align="center" valign="top">&#x2212;4.44</td>
<td align="center" valign="top">&#x2212;5.36</td>
</tr>
<tr>
<td align="left" valign="top">Panicolin</td>
<td align="center" valign="top">&#x2212;4.52</td>
<td align="center" valign="top">&#x2212;6.17</td>
<td align="center" valign="top">&#x2212;5.38</td>
<td align="center" valign="top">&#x2212;3.48</td>
<td align="center" valign="top">&#x2212;4.37</td>
<td align="center" valign="top">&#x2212;4.71</td>
<td align="center" valign="top">&#x2212;3.94</td>
</tr>
<tr>
<td align="left" valign="top">Baicalein</td>
<td align="center" valign="top">&#x2212;4.32</td>
<td align="center" valign="top">&#x2212;5.92</td>
<td align="center" valign="top">&#x2212;5.14</td>
<td align="center" valign="top">&#x2212;4.18</td>
<td align="center" valign="top">&#x2212;5.24</td>
<td align="center" valign="top">&#x2212;4.45</td>
<td align="center" valign="top">&#x2212;6.46</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec30">
<label>3.9</label>
<title>Single-cell sequencing analysis</title>
<p>The tSNE algorithm was utilized to cluster cells based on the GSE220939 and GSE231993 datasets, and subsequent labeling of each cluster was performed using SingleR. All cells from patients with T2DM were classified into seven groups: Epithelial Cells, Endothelial cells, Hepatocytes, Smooth Muscle Cells, Monocytes, B cells, and Natural Killer (NK) Cells (<xref ref-type="fig" rid="fig9">Figure 9A</xref>). Similarly, in UC, all cells were classified into eight classes: B cells, T cells, Epithelial cells, Monocytes, Fibroblasts, Endothelial cells, CMP, and Neurons (<xref ref-type="fig" rid="fig9">Figure 9B</xref>). The distribution of drug targets revealed that in T2DM, the primary cellular cluster targeted by GQD was Epithelial Cells, with subsequent impact on Hepatocytes (<xref ref-type="fig" rid="fig9">Figure 9C</xref>). In ulcerative colitis, GQD predominantly targets B cells, with subsequent involvement of T cells (<xref ref-type="fig" rid="fig9">Figure 9D</xref>). The seven core targets exhibit a broad distribution across various cell clusters (<xref ref-type="fig" rid="fig9">Figures 9E</xref>,<xref ref-type="fig" rid="fig9">F</xref>).</p>
<fig position="float" id="fig9">
<label>Figure 9</label>
<caption>
<p>Single-cell sequencing analysis. <bold>(A)</bold> Cellular subtypes of T2DM. <bold>(B)</bold> Cellular subtypes of UC. <bold>(C)</bold> GQD expression in various cell clusters of T2DM. <bold>(D)</bold> GQD expression in various cell clusters of UC. <bold>(E,F)</bold> Distribution of the seven core targets in cell clusters of T2DM and UC.</p>
</caption>
<graphic xlink:href="fmed-11-1406149-g009.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec31">
<label>4</label>
<title>Discussion</title>
<p>An increasing body of research is corroborating the association between UC and T2DM. It has been demonstrated that diabetes is the most prevalent co-morbidity of UC (<xref ref-type="bibr" rid="ref17">17</xref>). A population-based cohort study reveals a significantly heightened risk of T2DM among individuals with UC (<xref ref-type="bibr" rid="ref18">18</xref>). The association between diabetes and UC holds significant implications across epidemiology, etiology, clinical practice, and therapeutic strategies, signaling profound implications for research and patient care alike (<xref ref-type="bibr" rid="ref19">19</xref>). Hence, investigating the mechanisms underlying the co-occurrence of UC and T2DM holds clinical significance, aiding in early disease detection and timely intervention. In this study, we conducted analyses on four microarray datasets related to UC and T2DM using diverse bioinformatics approaches. Based on our predictions, inflammatory and immune processes, along with Immunoinflammatory signaling pathways such as IL-17, TNF, chemokine, and Toll-like receptor, may represent potential mechanisms underlying the co-morbidity of T2DM with UC. Following subsequent network pharmacological analyses, pivotal targets of GQD for the concurrent treatment of T2DM and UC were identified, including AKT1, BCL2, EGFR, ESR1, PTGS2, STAT3, and TNF. Notably, GQD predominantly acts on immuno-inflammatory pathways, such as Toll-like receptors, IL-17, TNF, MAPK, and the PI3K-Akt signaling pathways, in the simultaneous treatment of T2DM and UC.</p>
<p>In recent years, the roles of intestinal flora, inflammation, and immune regulation in the pathogenesis of T2DM and UC have attracted increasing attention (<xref ref-type="bibr" rid="ref20">20</xref>, <xref ref-type="bibr" rid="ref21">21</xref>). Single-cell sequencing coupled with immune infiltration analysis underscored the pivotal role of immune cells in driving the pathogenesis of both UC and T2DM. The intestinal mucosal immune system, comprising lymph nodes, lamina propria, and epithelial cells, serves as a vital barrier safeguarding intestinal integrity. The symbiotic relationship between the microbiome and the intestinal immune system is crucial for preserving mucosal homeostasis (<xref ref-type="bibr" rid="ref22">22</xref>). However, deficiencies and dysbiosis in the intestinal flora can result in significant impairments to the intestinal mucosal immune system, precipitating the onset of T2DM alongside UC (<xref ref-type="bibr" rid="ref23">23</xref>, <xref ref-type="bibr" rid="ref24">24</xref>). UC&#x2019;s development involves various factors within the gut microbiome, immune system dysfunctions, and compromised intestinal barriers, resulting in abnormal immune reactions to typical gut bacteria (<xref ref-type="bibr" rid="ref25">25</xref>). UC is characterized by an imbalance between intestinal effector T cells and mucosal Treg, with effector T cells being overly active and Treg cells not expanding sufficiently (<xref ref-type="bibr" rid="ref26">26</xref>). Balancing the population of Th17 and Treg cells in the intestines of mice markedly improves symptoms and reduces pathological damage in ulcerative colitis (<xref ref-type="bibr" rid="ref27">27</xref>). In T2DM, disruptions in intestinal immunity and barrier function, alongside alterations in gut microbiota, foster heightened intestinal permeability. Consequently, intestinal bacterial components infiltrate circulation, fueling both local and systemic chronic inflammation, ultimately contributing to insulin resistance (<xref ref-type="bibr" rid="ref28">28</xref>, <xref ref-type="bibr" rid="ref29">29</xref>). Dendritic cells, functioning as autocrine or paracrine modulators, synthesize and release classical neurotransmitters crucial for maintaining intestinal immune balance. Their abundance is markedly elevated in the gut of patients with UC and T2DM (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref31">31</xref>). In ulcerative colitis, the usual equilibrium of intestinal B-cell reactions is disturbed, resulting in a notable decrease in regulatory B cells (<xref ref-type="bibr" rid="ref32">32</xref>, <xref ref-type="bibr" rid="ref33">33</xref>). In parallel, B cells modulate Th17 proliferation and the production of pro-inflammatory factors in the intestines of T2DM patients (<xref ref-type="bibr" rid="ref34">34</xref>). Research indicates that managing macrophage metabolism and polarization can alleviate symptoms in DSS-induced UC mice, hinting at the potential of targeting macrophage polarization to restore immune balance as a promising UC treatment strategy (<xref ref-type="bibr" rid="ref35">35</xref>). In individuals with T2DM, there is a reduction in the quantity of anti-inflammatory T-cell subsets, such as regulatory T-cells (Treg), M2-like macrophages, and IgM-producing B-1 cells, alongside an elevation in the number and/or ratio of inflammatory effector T-cells (<xref ref-type="bibr" rid="ref36">36</xref>). Individuals diagnosed with T2DM often exhibit irregularities in the frequency and functionality of B cells, potentially resulting in heightened inflammatory reactions and reduced insulin sensitivity. Moreover, the antibodies generated by B cells are pivotal in the progression of T2DM, notably contributing to neuroinflammation and cognitive deterioration (<xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref38">38</xref>). In individuals with T2DM, dendritic cells are implicated in vascular dysfunction. Research indicates an elevated accumulation of dendritic cells in the perivascular adipose tissue of diabetic mice, which consequently compromises their anticonstrictive and vasodilatory functions (<xref ref-type="bibr" rid="ref39">39</xref>). Likewise, macrophages emerge as the primary immune cell driving inflammation within pancreatic islets in T2DM, posing a threat to the insulin-secreting function of &#x03B2;-cells through multiple mechanisms (<xref ref-type="bibr" rid="ref40">40</xref>). In conclusion, the elevated permeability of intestinal mucosa caused by disturbances in intestinal flora and impairment of the intestinal mucosal immune system contributes to the onset of systemic chronic inflammatory responses, a shared mechanism underlying the development of UC and T2DM (<xref ref-type="bibr" rid="ref41">41</xref>).</p>
<p>Ulcerative colitis manifests as recurring mucosal inflammation with periods of remission, necessitating treatment to induce and sustain remission (<xref ref-type="bibr" rid="ref42">42</xref>). Concurrently, the incidence of T2DM is on the rise, contributing to escalating rates of disability and mortality, thereby compounding the burden on families (<xref ref-type="bibr" rid="ref43">43</xref>). Thus, there is an imperative to discover additional routine serum biomarkers for the early diagnosis and treatment of T2DM and UC. Three distinct machine learning studies identified IGFBP3 as a biomarker for GQD in treating T2DM, while BACE2, EPHB4, and EPHA2 emerged as biomarkers for GQD in UC treatment. IGFBP3 interacts with cellular proteins involved in glucose metabolism regulation, consequently inducing insulin resistance and diminishing glucose uptake in adipose tissue (<xref ref-type="bibr" rid="ref44">44</xref>). For every one-unit rise in genetically determined IGFBP3 levels, there&#x2019;s a 26 percent higher likelihood of developing T2DM (<xref ref-type="bibr" rid="ref45">45</xref>). The degradation of pancreatic &#x03B2;-cells is a pivotal aspect of T2DM, and IGFBP3 signaling contributes to this decline in &#x03B2;-cell function and viability. Suppressing IGFBP3 activity can protect &#x03B2;-cells, potentially delaying or preventing the onset of diabetes, making it a promising therapeutic avenue for diabetes treatment (<xref ref-type="bibr" rid="ref46">46</xref>). BACE2, a protease regulated by the JAK2/STAT5 signaling pathway, emerges as a pivotal contributor to UC development (<xref ref-type="bibr" rid="ref47">47</xref>). The activity of IL-1R2, linked to ulcerative colitis, is influenced by the BACE2 gene. Therefore, BACE2 assumes a significant role in the pathogenesis of UC (<xref ref-type="bibr" rid="ref48">48</xref>). The EphB/ephrin-B system has become a promising focus for tackling gut inflammatory diseases. Suppressing this system seems to provide a therapeutic benefit by regulating immune responses (<xref ref-type="bibr" rid="ref49">49</xref>). Eph/ephrin proteins are implicated in numerous chronic inflammatory conditions. Targeting EPHB4 to disrupt EphB/ephrin B signaling holds potential as a pharmacological strategy for treating UC (<xref ref-type="bibr" rid="ref50">50</xref>). In summary, the involvement of Eph/ephrin signaling in maintaining intestinal balance, managing inflammation, and regulating neuroimmune interactions offers exciting possibilities for future investigations and therapeutic advancements in gastrointestinal conditions (<xref ref-type="bibr" rid="ref51">51</xref>).</p>
<p>In China, GQD is extensively employed for the treatment of both T2DM and UC. Through degree-value analysis of the herbal-chemical-target-protein network, we pinpointed seven active ingredients&#x2014;Berlamine, Palmatine, Moslosooflavone, Quercetin, Moupinamide, Panicolin, and Baicalein&#x2014;as potential compounds for treating the combined condition of T2DM and UC. Berlambine accomplishes the alleviation of inflammatory response and intestinal epithelial barrier dysfunction by diminishing the protein levels of TLR4 and MyD88, inhibiting the phosphorylation of I-&#x03BA;B &#x03B1;, and obstructing the translocation of NF-&#x03BA;B p65 from the cytoplasm to the nucleus (<xref ref-type="bibr" rid="ref52">52</xref>). Concurrently, Berlambine notably increased the mRNA expression of the Nrf2 signaling pathway and elevated the activity of the pancreatic PI3K/Akt signaling pathway (<xref ref-type="bibr" rid="ref53">53</xref>). Palmatine, a naturally occurring compound known for its anti-inflammatory and antioxidant properties, reverses the dysfunction in the insulin signaling pathway by increasing the expression of IRS-1, PI3K, AKT2, and GLUT4 genes while decreasing the expression of PKC (<xref ref-type="bibr" rid="ref54">54</xref>). Furthermore, Palmatine alleviates ulcerative colitis symptoms by mitigating colon damage, preserving intestinal flora balance, and modulating tryptophan catabolism (<xref ref-type="bibr" rid="ref55">55</xref>). Moslosooflavone markedly decreased the concentrations of inflammatory mediators like TNF-&#x03B1;, IL-1&#x03B2;, and IL-6 in mice (<xref ref-type="bibr" rid="ref56">56</xref>). Quercetin&#x2019;s renowned anti-inflammatory properties position it as a promising natural remedy for various inflammatory conditions (<xref ref-type="bibr" rid="ref57">57</xref>). Quercetin ameliorates UC by restoring intestinal barrier function via the activation of AHR-mediated enhancement of tight junctions (<xref ref-type="bibr" rid="ref58">58</xref>). Additionally, quercetin provides therapeutic benefits in T2DM by inhibiting pancreatic iron accumulation and pancreatic &#x03B2;-cell death (<xref ref-type="bibr" rid="ref59">59</xref>). Panicolin exhibited strong anti-inflammatory properties by significantly suppressing the production of IL-6 induced by LPS (<xref ref-type="bibr" rid="ref60">60</xref>). Baicalein demonstrates anti-inflammatory properties by inhibiting T cell activation and suppressing the thioredoxin system to restrict NF-&#x03BA;B-dependent inflammatory responses (<xref ref-type="bibr" rid="ref61">61</xref>). Moreover, baicalein exhibits multifaceted effects on glucose metabolism, enhancing glucose uptake and glycolysis while inhibiting hepatocyte gluconeogenesis through modulation of the InsR/IRS-1/PI3K/AKT pathway (<xref ref-type="bibr" rid="ref62">62</xref>). Simultaneously, it enhances the integrity of the intestinal epithelial barrier via the AhR/IL-22 pathway in ILC3, thereby ameliorating ulcerative colitis (<xref ref-type="bibr" rid="ref63">63</xref>). The therapeutic efficacy of the active constituents within the herbal formulation GQD for both T2DM and UC has been substantiated.</p>
<p>Ultimately, the affinity between seven key target proteins and active compounds was assessed through molecular docking techniques. Berlambine and Palmatine exhibited promising binding activity to the target, implying their potential relevance to the therapeutic role of GQD in treating T2DM and UC.</p>
<p>It is worth noting that our study also has some limitations. At the outset, our dataset originates from various public databases, each with its own set of inclusion criteria. These distinctions could potentially impact the precision of our findings. Secondly, the sample size in the GEO database is relatively small, potentially contributing to some degree of error. Additionally, variations in algorithms and parameter selections could yield divergent outcomes and interpretations. Hence, although employing various bioinformatics and machine learning approaches, validating the results through clinical trials and animal studies is imperative.</p>
</sec>
<sec sec-type="conclusions" id="sec32">
<label>5</label>
<title>Conclusion</title>
<p>In summary, we delineated potential co-morbid mechanisms between T2DM and UC, primarily implicating pathways such as IL-17, TNF, chemokine, and Toll-like receptor signaling, alongside the involvement of immune-inflammatory pathways and various immune cells like T cells, B cells, and neutrophils. Three distinct machine learning studies identified IGFBP3 as a biomarker for GQD in treating T2DM, while BACE2, EPHB4, and EPHA2 emerged as biomarkers for GQD in UC treatment. Ultimately, our investigation identified Berlambine and Palmatine as key components of GQD, presenting promising therapeutic prospects for managing the concurrent occurrence of T2DM and UC. Additionally, our study clarifies the mechanisms underlying the therapeutic effects of GQD, employing strategies that involve multiple components, targets, and pathways. This highlights its capacity to regulate immune responses and inflammation, with a specific focus on targeting toll-like receptors, IL-17, TNF, MAPK, and PI3K-Akt signaling pathways. The therapeutic strategy involving multiple components, targets, and pathways plays a vital and effective role in enhancing treatment outcomes, mitigating drug resistance, customizing treatment plans, managing complications comprehensively, and minimizing therapeutic side effects. Consequently, this approach significantly benefits patients&#x2019; clinical progress and enhances their quality of life.</p>
</sec>
<sec sec-type="data-availability" id="sec33">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref rid="SM1" ref-type="supplementary-material">Supplementary material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="author-contributions" id="sec34">
<title>Author contributions</title>
<p>FH: Data curation, Formal analysis, Software, Visualization, Writing &#x2013; original draft. LX: Data curation, Formal analysis, Software, Visualization, Writing &#x2013; original draft. ZL: Investigation, Validation, Writing &#x2013; review &#x0026; editing. LL: Investigation, Validation, Writing &#x2013; review &#x0026; editing. LW: Validation, Writing &#x2013; review &#x0026; editing. XW: Validation, Writing &#x2013; review &#x0026; editing. XZ: Conceptualization, Funding acquisition, Methodology, Project administration, Supervision, Writing &#x2013; review &#x0026; editing. YZ: Conceptualization, Funding acquisition, Methodology, Project administration, Supervision, Writing &#x2013; review &#x0026; editing.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec36">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by Key Project of Anhui Provincial Education Department (2022AH050486) and 2021 High-level Talent Introduction Scientific Project of Anhui University of Chinese Medicine (2022rczd005) and Open Subjects of the Key Laboratory of the Ministry of Education of Xin&#x2019;an Medicine (2022XAYX10).</p>
</sec>
<sec sec-type="COI-statement" id="sec37">
<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 sec-type="disclaimer" id="sec38">
<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>
<sec sec-type="supplementary-material" id="sec39">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fmed.2024.1406149/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fmed.2024.1406149/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Presentation_1.zip" id="SM1" mimetype="application/zip" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<fn-group>
<fn id="fn0001"><p><sup>1</sup><ext-link xlink:href="https://www.ncbi.nlm.nih.gov/geo/" ext-link-type="uri">https://www.ncbi.nlm.nih.gov/geo/</ext-link>
</p></fn>
<fn id="fn0002"><p><sup>2</sup><ext-link xlink:href="https://pubchem.ncbi.nlm.nih.gov/" ext-link-type="uri">https://pubchem.ncbi.nlm.nih.gov/</ext-link>
</p></fn>
<fn id="fn0003"><p><sup>3</sup><ext-link xlink:href="https://go.drugbank.com/" ext-link-type="uri">https://go.drugbank.com/</ext-link>
</p></fn>
<fn id="fn0004"><p><sup>4</sup><ext-link xlink:href="https://www.genecards.org/" ext-link-type="uri">https://www.genecards.org/</ext-link>
</p></fn>
<fn id="fn0005"><p><sup>5</sup><ext-link xlink:href="https://idrblab.net/ttd/" ext-link-type="uri">https://idrblab.net/ttd/</ext-link>
</p></fn>
<fn id="fn0006"><p><sup>6</sup><ext-link xlink:href="https://www.disgenet.org/" ext-link-type="uri">https://www.disgenet.org/</ext-link>
</p></fn>
</fn-group>
<ref-list>
<title>References</title>
<ref id="ref1"><label>1.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Miao</surname> <given-names>L</given-names></name> <name><surname>Liu</surname> <given-names>C</given-names></name> <name><surname>Cheong</surname> <given-names>MS</given-names></name> <name><surname>Zhong</surname> <given-names>R</given-names></name> <name><surname>Tan</surname> <given-names>Y</given-names></name> <name><surname>Rengasamy</surname> <given-names>KRR</given-names></name> <etal/></person-group>. <article-title>Exploration of natural flavones' bioactivity and bioavailability in chronic inflammation induced-type-2 diabetes mellitus</article-title>. <source>Crit Rev Food Sci Nutr</source>. (<year>2023</year>) <volume>63</volume>:<fpage>11640</fpage>&#x2013;<lpage>67</lpage>. doi: <pub-id pub-id-type="doi">10.1080/10408398.2022.2095349</pub-id>, PMID: <pub-id pub-id-type="pmid">35821658</pub-id></citation></ref>
<ref id="ref2"><label>2.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Amar</surname> <given-names>J</given-names></name> <name><surname>Chabo</surname> <given-names>C</given-names></name> <name><surname>Waget</surname> <given-names>A</given-names></name> <name><surname>Klopp</surname> <given-names>P</given-names></name> <name><surname>Vachoux</surname> <given-names>C</given-names></name> <name><surname>Berm&#x00FA;dez-Humar&#x00E1;n</surname> <given-names>LG</given-names></name> <etal/></person-group>. <article-title>Intestinal mucosal adherence and translocation of commensal bacteria at the early onset of type 2 diabetes: molecular mechanisms and probiotic treatment</article-title>. <source>EMBO Mol Med</source>. (<year>2011</year>) <volume>3</volume>:<fpage>559</fpage>&#x2013;<lpage>72</lpage>. doi: <pub-id pub-id-type="doi">10.1002/emmm.201100159</pub-id>, PMID: <pub-id pub-id-type="pmid">21735552</pub-id></citation></ref>
<ref id="ref3"><label>3.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dubinsky</surname> <given-names>M</given-names></name> <name><surname>Bleakman</surname> <given-names>AP</given-names></name> <name><surname>Panaccione</surname> <given-names>R</given-names></name> <name><surname>Hibi</surname> <given-names>T</given-names></name> <name><surname>Schreiber</surname> <given-names>S</given-names></name> <name><surname>Rubin</surname> <given-names>D</given-names></name> <etal/></person-group>. <article-title>Bowel urgency in ulcerative colitis: current perspectives and future directions</article-title>. <source>Am J Gastroenterol</source>. (<year>2023</year>) <volume>118</volume>:<fpage>1940</fpage>&#x2013;<lpage>53</lpage>. doi: <pub-id pub-id-type="doi">10.14309/ajg.0000000000002404</pub-id>, PMID: <pub-id pub-id-type="pmid">37436151</pub-id></citation></ref>
<ref id="ref4"><label>4.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Franzosa</surname> <given-names>EA</given-names></name> <name><surname>Sirota-Madi</surname> <given-names>A</given-names></name> <name><surname>Avila-Pacheco</surname> <given-names>J</given-names></name> <name><surname>Fornelos</surname> <given-names>N</given-names></name> <name><surname>Haiser</surname> <given-names>HJ</given-names></name> <name><surname>Reinker</surname> <given-names>S</given-names></name> <etal/></person-group>. <article-title>Gut microbiome structure and metabolic activity in inflammatory bowel disease</article-title>. <source>Nat Microbiol</source>. (<year>2019</year>) <volume>4</volume>:<fpage>293</fpage>&#x2013;<lpage>305</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41564-018-0306-4</pub-id>, PMID: <pub-id pub-id-type="pmid">30531976</pub-id></citation></ref>
<ref id="ref5"><label>5.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Su</surname> <given-names>J</given-names></name> <name><surname>Luo</surname> <given-names>Y</given-names></name> <name><surname>Hu</surname> <given-names>S</given-names></name> <name><surname>Tang</surname> <given-names>L</given-names></name> <name><surname>Ouyang</surname> <given-names>S</given-names></name></person-group>. <article-title>Advances in research on type 2 diabetes mellitus targets and therapeutic agents</article-title>. <source>Int J Mol Sci</source>. (<year>2023</year>) <volume>24</volume>:<fpage>2</fpage>&#x2013;<lpage>28</lpage>. doi: <pub-id pub-id-type="doi">10.3390/ijms241713381</pub-id>, PMID: <pub-id pub-id-type="pmid">37686185</pub-id></citation></ref>
<ref id="ref6"><label>6.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Paik</surname> <given-names>J</given-names></name></person-group>. <article-title>Ozanimod: a review in ulcerative colitis</article-title>. <source>Drugs</source>. (<year>2022</year>) <volume>82</volume>:<fpage>1303</fpage>&#x2013;<lpage>13</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s40265-022-01762-8</pub-id>, PMID: <pub-id pub-id-type="pmid">35994200</pub-id></citation></ref>
<ref id="ref7"><label>7.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tong</surname> <given-names>XL</given-names></name> <name><surname>Zhao</surname> <given-names>LH</given-names></name> <name><surname>Lian</surname> <given-names>FM</given-names></name> <name><surname>Zhou</surname> <given-names>Q</given-names></name> <name><surname>Xia</surname> <given-names>L</given-names></name> <name><surname>Zhang</surname> <given-names>JC</given-names></name> <etal/></person-group>. <article-title>Clinical observations on the dose-effect relationship of gegen qin lian decoction on 54 out-patients with type 2 diabetes</article-title>. <source>J Tradit Chin Med</source>. (<year>2011</year>) <volume>31</volume>:<fpage>56</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.1016/s0254-6272(11)60013-7</pub-id>, PMID: <pub-id pub-id-type="pmid">21563509</pub-id></citation></ref>
<ref id="ref8"><label>8.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xu</surname> <given-names>X</given-names></name> <name><surname>Gao</surname> <given-names>Z</given-names></name> <name><surname>Yang</surname> <given-names>F</given-names></name> <name><surname>Yang</surname> <given-names>Y</given-names></name> <name><surname>Chen</surname> <given-names>L</given-names></name> <name><surname>Han</surname> <given-names>L</given-names></name> <etal/></person-group>. <article-title>Antidiabetic effects of Gegen Qinlian decoction via the gut microbiota are attributable to its key ingredient Berberine</article-title>. <source>Genomics Proteomics Bioinformatics</source>. (<year>2020</year>) <volume>18</volume>:<fpage>721</fpage>&#x2013;<lpage>36</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.gpb.2019.09.007</pub-id>, PMID: <pub-id pub-id-type="pmid">33359679</pub-id></citation></ref>
<ref id="ref9"><label>9.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fan</surname> <given-names>Y</given-names></name> <name><surname>Yi</surname> <given-names>W</given-names></name> <name><surname>Huang</surname> <given-names>H</given-names></name> <name><surname>Mei</surname> <given-names>Z</given-names></name> <name><surname>Feng</surname> <given-names>Z</given-names></name></person-group>. <article-title>Efficacy of herbal medicine (Gegen Qinlian decoction) on ulcerative colitis: a systematic review of randomized controlled trials</article-title>. <source>Medicine (Baltimore)</source>. (<year>2019</year>) <volume>98</volume>:<fpage>e18512</fpage>. doi: <pub-id pub-id-type="doi">10.1097/md.0000000000018512</pub-id>, PMID: <pub-id pub-id-type="pmid">31876740</pub-id></citation></ref>
<ref id="ref10"><label>10.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>Y</given-names></name> <name><surname>Zhang</surname> <given-names>J</given-names></name> <name><surname>Zhang</surname> <given-names>B</given-names></name> <name><surname>Lu</surname> <given-names>M</given-names></name> <name><surname>Ma</surname> <given-names>J</given-names></name> <name><surname>Liu</surname> <given-names>Z</given-names></name> <etal/></person-group>. <article-title>Modified Gegen Qinlian decoction ameliorated ulcerative colitis by attenuating inflammation and oxidative stress and enhancing intestinal barrier function in vivo and in vitro</article-title>. <source>J Ethnopharmacol</source>. (<year>2023</year>) <volume>313</volume>:<fpage>116538</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jep.2023.116538</pub-id>, PMID: <pub-id pub-id-type="pmid">37086872</pub-id></citation></ref>
<ref id="ref11"><label>11.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhao</surname> <given-names>Y</given-names></name> <name><surname>Luan</surname> <given-names>H</given-names></name> <name><surname>Jiang</surname> <given-names>H</given-names></name> <name><surname>Xu</surname> <given-names>Y</given-names></name> <name><surname>Wu</surname> <given-names>X</given-names></name> <name><surname>Zhang</surname> <given-names>Y</given-names></name> <etal/></person-group>. <article-title>Gegen Qinlian decoction relieved DSS-induced ulcerative colitis in mice by modulating Th17/Treg cell homeostasis via suppressing IL-6/JAK2/STAT3 signaling</article-title>. <source>Phytomedicine</source>. (<year>2021</year>) <volume>84</volume>:<fpage>153519</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.phymed.2021.153519</pub-id>, PMID: <pub-id pub-id-type="pmid">33640781</pub-id></citation></ref>
<ref id="ref12"><label>12.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname> <given-names>J</given-names></name> <name><surname>Li</surname> <given-names>M</given-names></name> <name><surname>Chen</surname> <given-names>R</given-names></name> <name><surname>Xu</surname> <given-names>Z</given-names></name> <name><surname>Yang</surname> <given-names>X</given-names></name> <name><surname>Gu</surname> <given-names>H</given-names></name> <etal/></person-group>. <article-title>Gegen Qinlian standard decoction alleviated irinotecan-induced diarrhea via PI3K/AKT/NF-&#x03BA;B axis by network pharmacology prediction and experimental validation combination</article-title>. <source>Chin Med</source>. (<year>2023</year>) <volume>18</volume>:<fpage>46</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s13020-023-00747-3</pub-id>, PMID: <pub-id pub-id-type="pmid">37106406</pub-id></citation></ref>
<ref id="ref13"><label>13.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>X</given-names></name> <name><surname>Shen</surname> <given-names>Y</given-names></name> <name><surname>Wang</surname> <given-names>S</given-names></name> <name><surname>Li</surname> <given-names>S</given-names></name> <name><surname>Zhang</surname> <given-names>W</given-names></name> <name><surname>Liu</surname> <given-names>X</given-names></name> <etal/></person-group>. <article-title>PharmMapper 2017 update: a web server for potential drug target identification with a comprehensive target pharmacophore database</article-title>. <source>Nucleic Acids Res</source>. (<year>2017</year>) <volume>45</volume>:<fpage>W356</fpage>&#x2013;<lpage>w360</lpage>. doi: <pub-id pub-id-type="doi">10.1093/nar/gkx374</pub-id>, PMID: <pub-id pub-id-type="pmid">28472422</pub-id></citation></ref>
<ref id="ref14"><label>14.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xu</surname> <given-names>M</given-names></name> <name><surname>Zhou</surname> <given-names>H</given-names></name> <name><surname>Hu</surname> <given-names>P</given-names></name> <name><surname>Pan</surname> <given-names>Y</given-names></name> <name><surname>Wang</surname> <given-names>S</given-names></name> <name><surname>Liu</surname> <given-names>L</given-names></name> <etal/></person-group>. <article-title>Identification and validation of immune and oxidative stress-related diagnostic markers for diabetic nephropathy by WGCNA and machine learning</article-title>. <source>Front Immunol</source>. (<year>2023</year>) <volume>14</volume>:<fpage>2</fpage>&#x2013;<lpage>25</lpage>. doi: <pub-id pub-id-type="doi">10.3389/fimmu.2023.1084531</pub-id>, PMID: <pub-id pub-id-type="pmid">36911691</pub-id></citation></ref>
<ref id="ref15"><label>15.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Stelzer</surname> <given-names>G</given-names></name> <name><surname>Rosen</surname> <given-names>N</given-names></name> <name><surname>Plaschkes</surname> <given-names>I</given-names></name> <name><surname>Zimmerman</surname> <given-names>S</given-names></name> <name><surname>Twik</surname> <given-names>M</given-names></name> <name><surname>Fishilevich</surname> <given-names>S</given-names></name> <etal/></person-group>. <article-title>The GeneCards suite: from gene data mining to disease genome sequence analyses</article-title>. <source>Curr Protoc Bioinformatics</source>. (<year>2016</year>) <volume>54</volume>:<fpage>1.30.1</fpage>&#x2013;<lpage>1.30.33</lpage>. doi: <pub-id pub-id-type="doi">10.1002/cpbi.5</pub-id>, PMID: <pub-id pub-id-type="pmid">27322403</pub-id></citation></ref>
<ref id="ref16"><label>16.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wishart</surname> <given-names>DS</given-names></name> <name><surname>Feunang</surname> <given-names>YD</given-names></name> <name><surname>Guo</surname> <given-names>AC</given-names></name> <name><surname>Lo</surname> <given-names>EJ</given-names></name> <name><surname>Marcu</surname> <given-names>A</given-names></name> <name><surname>Grant</surname> <given-names>JR</given-names></name> <etal/></person-group>. <article-title>DrugBank 5.0: a major update to the DrugBank database for 2018</article-title>. <source>Nucleic Acids Res</source>. (<year>2018</year>) <volume>46</volume>:<fpage>D1074</fpage>&#x2013;<lpage>d1082</lpage>. doi: <pub-id pub-id-type="doi">10.1093/nar/gkx1037</pub-id>, PMID: <pub-id pub-id-type="pmid">29126136</pub-id></citation></ref>
<ref id="ref17"><label>17.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lan</surname> <given-names>YZ</given-names></name> <name><surname>Bai</surname> <given-names>YL</given-names></name> <name><surname>Zhu</surname> <given-names>XD</given-names></name></person-group>. <article-title>Integrated traditional Chinese and Western medicine for ulcerative colitis with diabetes: a protocol for systematic review and meta-analysis</article-title>. <source>Medicine (Baltimore)</source>. (<year>2021</year>) <volume>100</volume>:<fpage>e24444</fpage>. doi: <pub-id pub-id-type="doi">10.1097/md.0000000000024444</pub-id>, PMID: <pub-id pub-id-type="pmid">33530250</pub-id></citation></ref>
<ref id="ref18"><label>18.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jess</surname> <given-names>T</given-names></name> <name><surname>Jensen</surname> <given-names>BW</given-names></name> <name><surname>Andersson</surname> <given-names>M</given-names></name> <name><surname>Villumsen</surname> <given-names>M</given-names></name> <name><surname>Allin</surname> <given-names>KH</given-names></name></person-group>. <article-title>Inflammatory bowel diseases increase risk of type 2 diabetes in a Nationwide Cohort Study</article-title>. <source>Clin Gastroenterol Hepatol</source>. (<year>2020</year>) <volume>18</volume>:<fpage>881</fpage>&#x2013;<lpage>888.e1</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cgh.2019.07.052</pub-id>, PMID: <pub-id pub-id-type="pmid">31394285</pub-id></citation></ref>
<ref id="ref19"><label>19.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Maconi</surname> <given-names>G</given-names></name> <name><surname>Furfaro</surname> <given-names>F</given-names></name> <name><surname>Sciurti</surname> <given-names>R</given-names></name> <name><surname>Bezzio</surname> <given-names>C</given-names></name> <name><surname>Ardizzone</surname> <given-names>S</given-names></name> <name><surname>de Franchis</surname> <given-names>R</given-names></name></person-group>. <article-title>Glucose intolerance and diabetes mellitus in ulcerative colitis: pathogenetic and therapeutic implications</article-title>. <source>World J Gastroenterol</source>. (<year>2014</year>) <volume>20</volume>:<fpage>3507</fpage>&#x2013;<lpage>15</lpage>. doi: <pub-id pub-id-type="doi">10.3748/wjg.v20.i13.3507</pub-id>, PMID: <pub-id pub-id-type="pmid">24707133</pub-id></citation></ref>
<ref id="ref20"><label>20.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Geremia</surname> <given-names>A</given-names></name> <name><surname>Biancheri</surname> <given-names>P</given-names></name> <name><surname>Allan</surname> <given-names>P</given-names></name> <name><surname>Corazza</surname> <given-names>GR</given-names></name> <name><surname>Di Sabatino</surname> <given-names>A</given-names></name></person-group>. <article-title>Innate and adaptive immunity in inflammatory bowel disease</article-title>. <source>Autoimmun Rev</source>. (<year>2014</year>) <volume>13</volume>:<fpage>3</fpage>&#x2013;<lpage>10</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.autrev.2013.06.004</pub-id></citation></ref>
<ref id="ref21"><label>21.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Postler</surname> <given-names>TS</given-names></name> <name><surname>Peng</surname> <given-names>V</given-names></name> <name><surname>Bhatt</surname> <given-names>DM</given-names></name> <name><surname>Ghosh</surname> <given-names>S</given-names></name></person-group>. <article-title>Metformin selectively dampens the acute inflammatory response through an AMPK-dependent mechanism</article-title>. <source>Sci Rep</source>. (<year>2021</year>) <volume>11</volume>:<fpage>18721</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41598-021-97441-x</pub-id>, PMID: <pub-id pub-id-type="pmid">34548527</pub-id></citation></ref>
<ref id="ref22"><label>22.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shi</surname> <given-names>N</given-names></name> <name><surname>Li</surname> <given-names>N</given-names></name> <name><surname>Duan</surname> <given-names>X</given-names></name> <name><surname>Niu</surname> <given-names>H</given-names></name></person-group>. <article-title>Interaction between the gut microbiome and mucosal immune system</article-title>. <source>Mil Med Res</source>. (<year>2017</year>) <volume>4</volume>:<fpage>14</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s40779-017-0122-9</pub-id>, PMID: <pub-id pub-id-type="pmid">28465831</pub-id></citation></ref>
<ref id="ref23"><label>23.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Frank</surname> <given-names>DN</given-names></name> <name><surname>St Amand</surname> <given-names>AL</given-names></name> <name><surname>Feldman</surname> <given-names>RA</given-names></name> <name><surname>Boedeker</surname> <given-names>EC</given-names></name> <name><surname>Harpaz</surname> <given-names>N</given-names></name> <name><surname>Pace</surname> <given-names>NR</given-names></name></person-group>. <article-title>Molecular-phylogenetic characterization of microbial community imbalances in human inflammatory bowel diseases</article-title>. <source>Proc Natl Acad Sci USA</source>. (<year>2007</year>) <volume>104</volume>:<fpage>13780</fpage>&#x2013;<lpage>5</lpage>. doi: <pub-id pub-id-type="doi">10.1073/pnas.0706625104</pub-id>, PMID: <pub-id pub-id-type="pmid">17699621</pub-id></citation></ref>
<ref id="ref24"><label>24.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Qin</surname> <given-names>J</given-names></name> <name><surname>Li</surname> <given-names>Y</given-names></name> <name><surname>Cai</surname> <given-names>Z</given-names></name> <name><surname>Li</surname> <given-names>S</given-names></name> <name><surname>Zhu</surname> <given-names>J</given-names></name> <name><surname>Zhang</surname> <given-names>F</given-names></name> <etal/></person-group>. <article-title>A metagenome-wide association study of gut microbiota in type 2 diabetes</article-title>. <source>Nature</source>. (<year>2012</year>) <volume>490</volume>:<fpage>55</fpage>&#x2013;<lpage>60</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nature11450</pub-id>, PMID: <pub-id pub-id-type="pmid">23023125</pub-id></citation></ref>
<ref id="ref25"><label>25.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xavier</surname> <given-names>RJ</given-names></name> <name><surname>Podolsky</surname> <given-names>DK</given-names></name></person-group>. <article-title>Unravelling the pathogenesis of inflammatory bowel disease</article-title>. <source>Nature</source>. (<year>2007</year>) <volume>448</volume>:<fpage>427</fpage>&#x2013;<lpage>34</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nature06005</pub-id></citation></ref>
<ref id="ref26"><label>26.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Voskens</surname> <given-names>C</given-names></name> <name><surname>Stoica</surname> <given-names>D</given-names></name> <name><surname>Rosenberg</surname> <given-names>M</given-names></name> <name><surname>Vitali</surname> <given-names>F</given-names></name> <name><surname>Zundler</surname> <given-names>S</given-names></name> <name><surname>Ganslmayer</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Autologous regulatory T-cell transfer in refractory ulcerative colitis with concomitant primary sclerosing cholangitis</article-title>. <source>Gut</source>. (<year>2023</year>) <volume>72</volume>:<fpage>49</fpage>&#x2013;<lpage>53</lpage>. doi: <pub-id pub-id-type="doi">10.1136/gutjnl-2022-327075</pub-id>, PMID: <pub-id pub-id-type="pmid">35428657</pub-id></citation></ref>
<ref id="ref27"><label>27.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xu</surname> <given-names>M</given-names></name> <name><surname>Duan</surname> <given-names>XY</given-names></name> <name><surname>Chen</surname> <given-names>QY</given-names></name> <name><surname>Fan</surname> <given-names>H</given-names></name> <name><surname>Hong</surname> <given-names>ZC</given-names></name> <name><surname>Deng</surname> <given-names>SJ</given-names></name> <etal/></person-group>. <article-title>Effect of compound sophorae decoction on dextran sodium sulfate (DSS)-induced colitis in mice by regulating Th17/Treg cell balance</article-title>. <source>Biomed Pharmacother</source>. (<year>2019</year>) <volume>109</volume>:<fpage>2396</fpage>&#x2013;<lpage>408</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.biopha.2018.11.087</pub-id>, PMID: <pub-id pub-id-type="pmid">30551499</pub-id></citation></ref>
<ref id="ref28"><label>28.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tilg</surname> <given-names>H</given-names></name> <name><surname>Zmora</surname> <given-names>N</given-names></name> <name><surname>Adolph</surname> <given-names>TE</given-names></name> <name><surname>Elinav</surname> <given-names>E</given-names></name></person-group>. <article-title>The intestinal microbiota fuelling metabolic inflammation</article-title>. <source>Nat Rev Immunol</source>. (<year>2020</year>) <volume>20</volume>:<fpage>40</fpage>&#x2013;<lpage>54</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41577-019-0198-4</pub-id>, PMID: <pub-id pub-id-type="pmid">31388093</pub-id></citation></ref>
<ref id="ref29"><label>29.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Winer</surname> <given-names>DA</given-names></name> <name><surname>Luck</surname> <given-names>H</given-names></name> <name><surname>Tsai</surname> <given-names>S</given-names></name> <name><surname>Winer</surname> <given-names>S</given-names></name></person-group>. <article-title>The intestinal immune system in obesity and insulin resistance</article-title>. <source>Cell Metab</source>. (<year>2016</year>) <volume>23</volume>:<fpage>413</fpage>&#x2013;<lpage>26</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cmet.2016.01.003</pub-id></citation></ref>
<ref id="ref30"><label>30.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pergolizzi</surname> <given-names>S</given-names></name> <name><surname>Rizzo</surname> <given-names>G</given-names></name> <name><surname>Favaloro</surname> <given-names>A</given-names></name> <name><surname>Alesci</surname> <given-names>A</given-names></name> <name><surname>Pallio</surname> <given-names>S</given-names></name> <name><surname>Melita</surname> <given-names>G</given-names></name> <etal/></person-group>. <article-title>Expression of VAChT and 5-HT in ulcerative colitis dendritic cells</article-title>. <source>Acta Histochem</source>. (<year>2021</year>) <volume>123</volume>:<fpage>151715</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.acthis.2021.151715</pub-id>, PMID: <pub-id pub-id-type="pmid">33940317</pub-id></citation></ref>
<ref id="ref31"><label>31.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Qiao</surname> <given-names>Z</given-names></name> <name><surname>Wang</surname> <given-names>X</given-names></name> <name><surname>Zhang</surname> <given-names>H</given-names></name> <name><surname>Han</surname> <given-names>J</given-names></name> <name><surname>Feng</surname> <given-names>H</given-names></name> <name><surname>Wu</surname> <given-names>Z</given-names></name></person-group>. <article-title>Single-cell Transcriptomics reveals that metabolites produced by Paenibacillus bovis sp. nov. BD3526 ameliorate type 2 diabetes in GK rats by downregulating the inflammatory response</article-title>. <source>Front Microbiol</source>. (<year>2020</year>) <volume>11</volume>:<fpage>568805</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fmicb.2020.568805</pub-id>, PMID: <pub-id pub-id-type="pmid">33424779</pub-id></citation></ref>
<ref id="ref32"><label>32.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Uzzan</surname> <given-names>M</given-names></name> <name><surname>Martin</surname> <given-names>JC</given-names></name> <name><surname>Mesin</surname> <given-names>L</given-names></name> <name><surname>Livanos</surname> <given-names>AE</given-names></name> <name><surname>Castro-Dopico</surname> <given-names>T</given-names></name> <name><surname>Huang</surname> <given-names>R</given-names></name> <etal/></person-group>. <article-title>Ulcerative colitis is characterized by a plasmablast-skewed humoral response associated with disease activity</article-title>. <source>Nat Med</source>. (<year>2022</year>) <volume>28</volume>:<fpage>766</fpage>&#x2013;<lpage>79</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41591-022-01680-y</pub-id>, PMID: <pub-id pub-id-type="pmid">35190725</pub-id></citation></ref>
<ref id="ref33"><label>33.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>X</given-names></name> <name><surname>Zhu</surname> <given-names>Y</given-names></name> <name><surname>Zhang</surname> <given-names>M</given-names></name> <name><surname>Wang</surname> <given-names>H</given-names></name> <name><surname>Jiang</surname> <given-names>Y</given-names></name> <name><surname>Gao</surname> <given-names>P</given-names></name></person-group>. <article-title>Ulcerative colitis is characterized by a decrease in regulatory B cells</article-title>. <source>J Crohns Colitis</source>. (<year>2016</year>) <volume>10</volume>:<fpage>1212</fpage>&#x2013;<lpage>23</lpage>. doi: <pub-id pub-id-type="doi">10.1093/ecco-jcc/jjw074</pub-id>, PMID: <pub-id pub-id-type="pmid">26980839</pub-id></citation></ref>
<ref id="ref34"><label>34.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhou</surname> <given-names>T</given-names></name> <name><surname>Hu</surname> <given-names>Z</given-names></name> <name><surname>Yang</surname> <given-names>S</given-names></name> <name><surname>Sun</surname> <given-names>L</given-names></name> <name><surname>Yu</surname> <given-names>Z</given-names></name> <name><surname>Wang</surname> <given-names>G</given-names></name></person-group>. <article-title>Role of adaptive and innate immunity in type 2 diabetes mellitus</article-title>. <source>J Diabetes Res</source>. (<year>2018</year>) <volume>2018</volume>:<fpage>1</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.1155/2018/7457269</pub-id>, PMID: <pub-id pub-id-type="pmid">30533447</pub-id></citation></ref>
<ref id="ref35"><label>35.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wu</surname> <given-names>MM</given-names></name> <name><surname>Wang</surname> <given-names>QM</given-names></name> <name><surname>Huang</surname> <given-names>BY</given-names></name> <name><surname>Mai</surname> <given-names>CT</given-names></name> <name><surname>Wang</surname> <given-names>CL</given-names></name> <name><surname>Wang</surname> <given-names>TT</given-names></name> <etal/></person-group>. <article-title>Dioscin ameliorates murine ulcerative colitis by regulating macrophage polarization</article-title>. <source>Pharmacol Res</source>. (<year>2021</year>) <volume>172</volume>:<fpage>105796</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.phrs.2021.105796</pub-id>, PMID: <pub-id pub-id-type="pmid">34343656</pub-id></citation></ref>
<ref id="ref36"><label>36.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>SantaCruz-Calvo</surname> <given-names>S</given-names></name> <name><surname>Bharath</surname> <given-names>L</given-names></name> <name><surname>Pugh</surname> <given-names>G</given-names></name> <name><surname>SantaCruz-Calvo</surname> <given-names>L</given-names></name> <name><surname>Lenin</surname> <given-names>RR</given-names></name> <name><surname>Lutshumba</surname> <given-names>J</given-names></name> <etal/></person-group>. <article-title>Adaptive immune cells shape obesity-associated type 2 diabetes mellitus and less prominent comorbidities</article-title>. <source>Nat Rev Endocrinol</source>. (<year>2022</year>) <volume>18</volume>:<fpage>23</fpage>&#x2013;<lpage>42</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41574-021-00575-1</pub-id>, PMID: <pub-id pub-id-type="pmid">34703027</pub-id></citation></ref>
<ref id="ref37"><label>37.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhai</surname> <given-names>X</given-names></name> <name><surname>Qian</surname> <given-names>G</given-names></name> <name><surname>Wang</surname> <given-names>Y</given-names></name> <name><surname>Chen</surname> <given-names>X</given-names></name> <name><surname>Lu</surname> <given-names>J</given-names></name> <name><surname>Zhang</surname> <given-names>Y</given-names></name> <etal/></person-group>. <article-title>Elevated B cell activation is associated with type 2 diabetes development in obese subjects</article-title>. <source>Cell Physiol Biochem</source>. (<year>2016</year>) <volume>38</volume>:<fpage>1257</fpage>&#x2013;<lpage>66</lpage>. doi: <pub-id pub-id-type="doi">10.1159/000443073</pub-id>, PMID: <pub-id pub-id-type="pmid">26982979</pub-id></citation></ref>
<ref id="ref38"><label>38.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhan</surname> <given-names>J</given-names></name> <name><surname>Huang</surname> <given-names>L</given-names></name> <name><surname>Ma</surname> <given-names>H</given-names></name> <name><surname>Chen</surname> <given-names>H</given-names></name> <name><surname>Yang</surname> <given-names>Y</given-names></name> <name><surname>Tan</surname> <given-names>S</given-names></name> <etal/></person-group>. <article-title>Reduced inflammatory responses of follicular helper T cell promote the development of regulatory B cells after roux-en-Y gastric bypass</article-title>. <source>Clin Exp Pharmacol Physiol</source>. (<year>2017</year>) <volume>44</volume>:<fpage>556</fpage>&#x2013;<lpage>65</lpage>. doi: <pub-id pub-id-type="doi">10.1111/1440-1681.12740</pub-id>, PMID: <pub-id pub-id-type="pmid">28222218</pub-id></citation></ref>
<ref id="ref39"><label>39.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Qiu</surname> <given-names>T</given-names></name> <name><surname>Li</surname> <given-names>M</given-names></name> <name><surname>Tanner</surname> <given-names>MA</given-names></name> <name><surname>Yang</surname> <given-names>Y</given-names></name> <name><surname>Sowers</surname> <given-names>JR</given-names></name> <name><surname>Korthuis</surname> <given-names>RJ</given-names></name> <etal/></person-group>. <article-title>Depletion of dendritic cells in perivascular adipose tissue improves arterial relaxation responses in type 2 diabetic mice</article-title>. <source>Metabolism</source>. (<year>2018</year>) <volume>85</volume>:<fpage>76</fpage>&#x2013;<lpage>89</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.metabol.2018.03.002</pub-id>, PMID: <pub-id pub-id-type="pmid">29530798</pub-id></citation></ref>
<ref id="ref40"><label>40.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ying</surname> <given-names>W</given-names></name> <name><surname>Fu</surname> <given-names>W</given-names></name> <name><surname>Lee</surname> <given-names>YS</given-names></name> <name><surname>Olefsky</surname> <given-names>JM</given-names></name></person-group>. <article-title>The role of macrophages in obesity-associated islet inflammation and &#x03B2;-cell abnormalities</article-title>. <source>Nat Rev Endocrinol</source>. (<year>2020</year>) <volume>16</volume>:<fpage>81</fpage>&#x2013;<lpage>90</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41574-019-0286-3</pub-id>, PMID: <pub-id pub-id-type="pmid">31836875</pub-id></citation></ref>
<ref id="ref41"><label>41.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>B</given-names></name> <name><surname>Liu</surname> <given-names>K</given-names></name> <name><surname>Yang</surname> <given-names>H</given-names></name> <name><surname>Jin</surname> <given-names>Z</given-names></name> <name><surname>Ding</surname> <given-names>Q</given-names></name> <name><surname>Zhao</surname> <given-names>L</given-names></name></person-group>. <article-title>Gut microbiota: the potential key target of TCM's therapeutic effect of treating different diseases using the same method-UC and T2DM as examples</article-title>. <source>Front Cell Infect Microbiol</source>. (<year>2022</year>) <volume>12</volume>:<fpage>1</fpage>&#x2013;<lpage>19</lpage>. doi: <pub-id pub-id-type="doi">10.3389/fcimb.2022.855075</pub-id>, PMID: <pub-id pub-id-type="pmid">35433500</pub-id></citation></ref>
<ref id="ref42"><label>42.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ungaro</surname> <given-names>R</given-names></name> <name><surname>Mehandru</surname> <given-names>S</given-names></name> <name><surname>Allen</surname> <given-names>PB</given-names></name> <name><surname>Peyrin-Biroulet</surname> <given-names>L</given-names></name> <name><surname>Colombel</surname> <given-names>JF</given-names></name></person-group>. <article-title>Ulcerative colitis</article-title>. <source>Lancet</source>. (<year>2017</year>) <volume>389</volume>:<fpage>1756</fpage>&#x2013;<lpage>70</lpage>. doi: <pub-id pub-id-type="doi">10.1016/s0140-6736(16)32126-2</pub-id>, PMID: <pub-id pub-id-type="pmid">27914657</pub-id></citation></ref>
<ref id="ref43"><label>43.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dugani</surname> <given-names>SB</given-names></name> <name><surname>Mielke</surname> <given-names>MM</given-names></name> <name><surname>Vella</surname> <given-names>A</given-names></name></person-group>. <article-title>Burden and management of type 2 diabetes in rural United States</article-title>. <source>Diabetes Metab Res Rev</source>. (<year>2021</year>) <volume>37</volume>:<fpage>e3410</fpage>. doi: <pub-id pub-id-type="doi">10.1002/dmrr.3410</pub-id>, PMID: <pub-id pub-id-type="pmid">33021052</pub-id></citation></ref>
<ref id="ref44"><label>44.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rajpathak</surname> <given-names>SN</given-names></name> <name><surname>He</surname> <given-names>M</given-names></name> <name><surname>Sun</surname> <given-names>Q</given-names></name> <name><surname>Kaplan</surname> <given-names>RC</given-names></name> <name><surname>Muzumdar</surname> <given-names>R</given-names></name> <name><surname>Rohan</surname> <given-names>TE</given-names></name> <etal/></person-group>. <article-title>Insulin-like growth factor axis and risk of type 2 diabetes in women</article-title>. <source>Diabetes</source>. (<year>2012</year>) <volume>61</volume>:<fpage>2248</fpage>&#x2013;<lpage>54</lpage>. doi: <pub-id pub-id-type="doi">10.2337/db11-1488</pub-id>, PMID: <pub-id pub-id-type="pmid">22554827</pub-id></citation></ref>
<ref id="ref45"><label>45.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pigeyre</surname> <given-names>M</given-names></name> <name><surname>Sjaarda</surname> <given-names>J</given-names></name> <name><surname>Mao</surname> <given-names>S</given-names></name> <name><surname>Chong</surname> <given-names>M</given-names></name> <name><surname>Hess</surname> <given-names>S</given-names></name> <name><surname>Yusuf</surname> <given-names>S</given-names></name> <etal/></person-group>. <article-title>Identification of novel causal blood biomarkers linking metabolically favorable adiposity with type 2 diabetes risk</article-title>. <source>Diabetes Care</source>. (<year>2019</year>) <volume>42</volume>:<fpage>1800</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.2337/dc18-2444</pub-id>, PMID: <pub-id pub-id-type="pmid">31235487</pub-id></citation></ref>
<ref id="ref46"><label>46.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>D'Addio</surname> <given-names>F</given-names></name> <name><surname>Maestroni</surname> <given-names>A</given-names></name> <name><surname>Assi</surname> <given-names>E</given-names></name> <name><surname>Ben Nasr</surname> <given-names>M</given-names></name> <name><surname>Amabile</surname> <given-names>G</given-names></name> <name><surname>Usuelli</surname> <given-names>V</given-names></name> <etal/></person-group>. <article-title>The IGFBP3/TMEM219 pathway regulates beta cell homeostasis</article-title>. <source>Nat Commun</source>. (<year>2022</year>) <volume>13</volume>:<fpage>684</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41467-022-28360-2</pub-id>, PMID: <pub-id pub-id-type="pmid">35115561</pub-id></citation></ref>
<ref id="ref47"><label>47.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cardinale</surname> <given-names>CJ</given-names></name> <name><surname>March</surname> <given-names>ME</given-names></name> <name><surname>Lin</surname> <given-names>X</given-names></name> <name><surname>Liu</surname> <given-names>Y</given-names></name> <name><surname>Spruce</surname> <given-names>LA</given-names></name> <name><surname>Bradfield</surname> <given-names>JP</given-names></name> <etal/></person-group>. <article-title>Regulation of Janus kinase 2 by an inflammatory bowel disease causal non-coding single nucleotide polymorphism</article-title>. <source>J Crohns Colitis</source>. (<year>2020</year>) <volume>14</volume>:<fpage>646</fpage>&#x2013;<lpage>53</lpage>. doi: <pub-id pub-id-type="doi">10.1093/ecco-jcc/jjz213</pub-id>, PMID: <pub-id pub-id-type="pmid">32271392</pub-id></citation></ref>
<ref id="ref48"><label>48.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Madore</surname> <given-names>AM</given-names></name> <name><surname>Vaillancourt</surname> <given-names>VT</given-names></name> <name><surname>Bouzigon</surname> <given-names>E</given-names></name> <name><surname>Sarnowski</surname> <given-names>C</given-names></name> <name><surname>Monier</surname> <given-names>F</given-names></name> <name><surname>Dizier</surname> <given-names>MH</given-names></name> <etal/></person-group>. <article-title>Genes involved in Interleukin-1 receptor type II activities are associated with asthmatic phenotypes</article-title>. <source>Allergy Asthma Immunol Res</source>. (<year>2016</year>) <volume>8</volume>:<fpage>466</fpage>&#x2013;<lpage>70</lpage>. doi: <pub-id pub-id-type="doi">10.4168/aair.2016.8.5.466</pub-id>, PMID: <pub-id pub-id-type="pmid">27334786</pub-id></citation></ref>
<ref id="ref49"><label>49.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Grandi</surname> <given-names>A</given-names></name> <name><surname>Zini</surname> <given-names>I</given-names></name> <name><surname>Palese</surname> <given-names>S</given-names></name> <name><surname>Giorgio</surname> <given-names>C</given-names></name> <name><surname>Tognolini</surname> <given-names>M</given-names></name> <name><surname>Marchesani</surname> <given-names>F</given-names></name> <etal/></person-group>. <article-title>Targeting the Eph/Ephrin system as anti-inflammatory strategy in IBD</article-title>. <source>Front Pharmacol</source>. (<year>2019</year>) <volume>10</volume>:<fpage>1</fpage>&#x2013;<lpage>16</lpage>. doi: <pub-id pub-id-type="doi">10.3389/fphar.2019.00691</pub-id>, PMID: <pub-id pub-id-type="pmid">31297055</pub-id></citation></ref>
<ref id="ref50"><label>50.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Qiao</surname> <given-names>Z</given-names></name> <name><surname>Liao</surname> <given-names>M</given-names></name> <name><surname>Xiao</surname> <given-names>M</given-names></name> <name><surname>Luo</surname> <given-names>S</given-names></name> <name><surname>Wang</surname> <given-names>K</given-names></name> <name><surname>Niu</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Ephrin B3 exacerbates colitis and colitis-associated colorectal cancer</article-title>. <source>Biochem Pharmacol</source>. (<year>2024</year>) <volume>220</volume>:<fpage>116004</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.bcp.2023.116004</pub-id>, PMID: <pub-id pub-id-type="pmid">38142837</pub-id></citation></ref>
<ref id="ref51"><label>51.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Qiu</surname> <given-names>P</given-names></name> <name><surname>Li</surname> <given-names>D</given-names></name> <name><surname>Xiao</surname> <given-names>C</given-names></name> <name><surname>Xu</surname> <given-names>F</given-names></name> <name><surname>Chen</surname> <given-names>X</given-names></name> <name><surname>Chang</surname> <given-names>Y</given-names></name> <etal/></person-group>. <article-title>The Eph/ephrin system symphony of gut inflammation</article-title>. <source>Pharmacol Res</source>. (<year>2023</year>) <volume>197</volume>:<fpage>106976</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.phrs.2023.106976</pub-id>, PMID: <pub-id pub-id-type="pmid">38032293</pub-id></citation></ref>
<ref id="ref52"><label>52.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>C</given-names></name> <name><surname>Ai</surname> <given-names>G</given-names></name> <name><surname>Wang</surname> <given-names>Y</given-names></name> <name><surname>Lu</surname> <given-names>Q</given-names></name> <name><surname>Luo</surname> <given-names>C</given-names></name> <name><surname>Tan</surname> <given-names>L</given-names></name> <etal/></person-group>. <article-title>Oxyberberine, a novel gut microbiota-mediated metabolite of berberine, possesses superior anti-colitis effect: impact on intestinal epithelial barrier, gut microbiota profile and TLR4-MyD88-NF-&#x03BA;B pathway</article-title>. <source>Pharmacol Res</source>. (<year>2020</year>) <volume>152</volume>:<fpage>104603</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.phrs.2019.104603</pub-id>, PMID: <pub-id pub-id-type="pmid">31863867</pub-id></citation></ref>
<ref id="ref53"><label>53.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dou</surname> <given-names>Y</given-names></name> <name><surname>Huang</surname> <given-names>R</given-names></name> <name><surname>Li</surname> <given-names>Q</given-names></name> <name><surname>Liu</surname> <given-names>Y</given-names></name> <name><surname>Li</surname> <given-names>Y</given-names></name> <name><surname>Chen</surname> <given-names>H</given-names></name> <etal/></person-group>. <article-title>Oxyberberine, an absorbed metabolite of berberine, possess superior hypoglycemic effect via regulating the PI3K/Akt and Nrf2 signaling pathways</article-title>. <source>Biomed Pharmacother</source>. (<year>2021</year>) <volume>137</volume>:<fpage>111312</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.biopha.2021.111312</pub-id>, PMID: <pub-id pub-id-type="pmid">33524788</pub-id></citation></ref>
<ref id="ref54"><label>54.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nwabueze</surname> <given-names>OP</given-names></name> <name><surname>Sharma</surname> <given-names>M</given-names></name> <name><surname>Balachandran</surname> <given-names>A</given-names></name> <name><surname>Gaurav</surname> <given-names>A</given-names></name> <name><surname>Abdul Rani</surname> <given-names>AN</given-names></name> <name><surname>Ma&#x0142;gorzata</surname> <given-names>J</given-names></name> <etal/></person-group>. <article-title>Comparative studies of Palmatine with metformin and glimepiride on the modulation of insulin dependent signaling pathway in vitro, in vivo &#x0026; ex vivo</article-title>. <source>Pharmaceuticals (Basel)</source>. (<year>2022</year>) <volume>15</volume>:<fpage>2</fpage>&#x2013;<lpage>16</lpage>. doi: <pub-id pub-id-type="doi">10.3390/ph15111317</pub-id>, PMID: <pub-id pub-id-type="pmid">36355489</pub-id></citation></ref>
<ref id="ref55"><label>55.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>XJ</given-names></name> <name><surname>Yuan</surname> <given-names>ZW</given-names></name> <name><surname>Qu</surname> <given-names>C</given-names></name> <name><surname>Yu</surname> <given-names>XT</given-names></name> <name><surname>Huang</surname> <given-names>T</given-names></name> <name><surname>Chen</surname> <given-names>PV</given-names></name> <etal/></person-group>. <article-title>Palmatine ameliorated murine colitis by suppressing tryptophan metabolism and regulating gut microbiota</article-title>. <source>Pharmacol Res</source>. (<year>2018</year>) <volume>137</volume>:<fpage>34</fpage>&#x2013;<lpage>46</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.phrs.2018.09.010</pub-id>, PMID: <pub-id pub-id-type="pmid">30243842</pub-id></citation></ref>
<ref id="ref56"><label>56.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>J</given-names></name> <name><surname>Zhao</surname> <given-names>T</given-names></name> <name><surname>Zhang</surname> <given-names>P</given-names></name> <name><surname>Shi</surname> <given-names>Z</given-names></name> <name><surname>Da</surname> <given-names>Q</given-names></name> <name><surname>Ma</surname> <given-names>H</given-names></name> <etal/></person-group>. <article-title>Moslosooflavone protects against brain injury induced by hypobaric hypoxic via suppressing oxidative stress, neuroinflammation, energy metabolism disorder, and apoptosis</article-title>. <source>J Pharm Pharmacol</source>. (<year>2024</year>) <volume>76</volume>:<fpage>44</fpage>&#x2013;<lpage>56</lpage>. doi: <pub-id pub-id-type="doi">10.1093/jpp/rgad109</pub-id>, PMID: <pub-id pub-id-type="pmid">37991718</pub-id></citation></ref>
<ref id="ref57"><label>57.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rogerio</surname> <given-names>AP</given-names></name> <name><surname>Dora</surname> <given-names>CL</given-names></name> <name><surname>Andrade</surname> <given-names>EL</given-names></name> <name><surname>Chaves</surname> <given-names>JS</given-names></name> <name><surname>Silva</surname> <given-names>LF</given-names></name> <name><surname>Lemos-Senna</surname> <given-names>E</given-names></name> <etal/></person-group>. <article-title>Anti-inflammatory effect of quercetin-loaded microemulsion in the airways allergic inflammatory model in mice</article-title>. <source>Pharmacol Res</source>. (<year>2010</year>) <volume>61</volume>:<fpage>288</fpage>&#x2013;<lpage>97</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.phrs.2009.10.005</pub-id></citation></ref>
<ref id="ref58"><label>58.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>X</given-names></name> <name><surname>Xie</surname> <given-names>X</given-names></name> <name><surname>Li</surname> <given-names>Y</given-names></name> <name><surname>Xie</surname> <given-names>X</given-names></name> <name><surname>Huang</surname> <given-names>S</given-names></name> <name><surname>Pan</surname> <given-names>S</given-names></name> <etal/></person-group>. <article-title>Quercetin ameliorates ulcerative colitis by activating aryl hydrocarbon receptor to improve intestinal barrier integrity</article-title>. <source>Phytother Res</source>. (<year>2024</year>) <volume>38</volume>:<fpage>253</fpage>&#x2013;<lpage>64</lpage>. doi: <pub-id pub-id-type="doi">10.1002/ptr.8027</pub-id>, PMID: <pub-id pub-id-type="pmid">37873559</pub-id></citation></ref>
<ref id="ref59"><label>59.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>D</given-names></name> <name><surname>Jiang</surname> <given-names>C</given-names></name> <name><surname>Mei</surname> <given-names>G</given-names></name> <name><surname>Zhao</surname> <given-names>Y</given-names></name> <name><surname>Chen</surname> <given-names>L</given-names></name> <name><surname>Liu</surname> <given-names>J</given-names></name> <etal/></person-group>. <article-title>Quercetin alleviates ferroptosis of pancreatic &#x03B2; cells in type 2 diabetes</article-title>. <source>Nutrients</source>. (<year>2020</year>) <volume>12</volume>:<fpage>2</fpage>&#x2013;<lpage>15</lpage>. doi: <pub-id pub-id-type="doi">10.3390/nu12102954</pub-id>, PMID: <pub-id pub-id-type="pmid">32992479</pub-id></citation></ref>
<ref id="ref60"><label>60.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chandrasekaran</surname> <given-names>CV</given-names></name> <name><surname>Thiyagarajan</surname> <given-names>P</given-names></name> <name><surname>Deepak</surname> <given-names>HB</given-names></name> <name><surname>Agarwal</surname> <given-names>A</given-names></name></person-group>. <article-title>In vitro modulation of LPS/calcimycin induced inflammatory and allergic mediators by pure compounds of <italic>Andrographis paniculata</italic> (king of bitters) extract</article-title>. <source>Int Immunopharmacol</source>. (<year>2011</year>) <volume>11</volume>:<fpage>79</fpage>&#x2013;<lpage>84</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.intimp.2010.10.009</pub-id>, PMID: <pub-id pub-id-type="pmid">21034865</pub-id></citation></ref>
<ref id="ref61"><label>61.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Patwardhan</surname> <given-names>RS</given-names></name> <name><surname>Sharma</surname> <given-names>D</given-names></name> <name><surname>Thoh</surname> <given-names>M</given-names></name> <name><surname>Checker</surname> <given-names>R</given-names></name> <name><surname>Sandur</surname> <given-names>SK</given-names></name></person-group>. <article-title>Baicalein exhibits anti-inflammatory effects via inhibition of NF-&#x03BA;B transactivation</article-title>. <source>Biochem Pharmacol</source>. (<year>2016</year>) <volume>108</volume>:<fpage>75</fpage>&#x2013;<lpage>89</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.bcp.2016.03.013</pub-id>, PMID: <pub-id pub-id-type="pmid">27019135</pub-id></citation></ref>
<ref id="ref62"><label>62.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname> <given-names>Z</given-names></name> <name><surname>Huang</surname> <given-names>W</given-names></name> <name><surname>Zhang</surname> <given-names>J</given-names></name> <name><surname>Xie</surname> <given-names>M</given-names></name> <name><surname>Wang</surname> <given-names>X</given-names></name></person-group>. <article-title>Baicalein improves glucose metabolism in insulin resistant HepG2 cells</article-title>. <source>Eur J Pharmacol</source>. (<year>2019</year>) <volume>854</volume>:<fpage>187</fpage>&#x2013;<lpage>93</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ejphar.2019.04.005</pub-id>, PMID: <pub-id pub-id-type="pmid">30970232</pub-id></citation></ref>
<ref id="ref63"><label>63.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>YY</given-names></name> <name><surname>Wang</surname> <given-names>XJ</given-names></name> <name><surname>Su</surname> <given-names>YL</given-names></name> <name><surname>Wang</surname> <given-names>Q</given-names></name> <name><surname>Huang</surname> <given-names>SW</given-names></name> <name><surname>Pan</surname> <given-names>ZF</given-names></name> <etal/></person-group>. <article-title>Baicalein ameliorates ulcerative colitis by improving intestinal epithelial barrier via AhR/IL-22 pathway in ILC3s</article-title>. <source>Acta Pharmacol Sin</source>. (<year>2022</year>) <volume>43</volume>:<fpage>1495</fpage>&#x2013;<lpage>507</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41401-021-00781-7</pub-id>, PMID: <pub-id pub-id-type="pmid">34671110</pub-id></citation></ref>
</ref-list>
<glossary>
<def-list>
<title>Glossary</title>
<def-item>
<term>GQD</term>
<def><p>Gegen Qinlian Decoction</p></def>
</def-item>
<def-item>
<term>T2DM</term>
<def><p>Type 2 diabetes</p></def>
</def-item>
<def-item>
<term>UC</term>
<def><p>Ulcerative colitis</p></def>
</def-item>
<def-item>
<term>DEGs</term>
<def><p>differentially expressed genes</p></def>
</def-item>
<def-item>
<term>GEO</term>
<def><p>Gene Expression Omnibus</p></def>
</def-item>
<def-item>
<term>GO</term>
<def><p>Gene Ontology</p></def>
</def-item>
<def-item>
<term>KEGG</term>
<def><p>Kyoto Encyclopedia of Genes and Genomes</p></def>
</def-item>
<def-item>
<term>PPI</term>
<def><p>Protein&#x2013;protein interaction</p></def>
</def-item>
<def-item>
<term>DC</term>
<def><p>degree centrality</p></def>
</def-item>
<def-item>
<term>BC</term>
<def><p>betweenness centrality</p></def>
</def-item>
<def-item>
<term>CC</term>
<def><p>closeness centrality</p></def>
</def-item>
<def-item>
<term>TCM</term>
<def><p>traditional Chinese medicine</p></def>
</def-item>
<def-item>
<term>DL</term>
<def><p>drug-likeness</p></def>
</def-item>
<def-item>
<term>OB</term>
<def><p>Oral bioavailability</p></def>
</def-item>
<def-item>
<term>WGCNA</term>
<def><p>Weighted Gene Co-Expression Network Analysis</p></def>
</def-item>
<def-item>
<term>FBG</term>
<def><p>fasting blood glucose</p></def>
</def-item>
<def-item>
<term>UCEIS</term>
<def><p>ulcerative colitis endoscopic index of severity</p></def>
</def-item>
<def-item>
<term>TOM</term>
<def><p>Topological Overlap Matrix</p></def>
</def-item>
<def-item>
<term>LASSO</term>
<def><p>Least Absolute Shrinkage and Selection Operator</p></def>
</def-item>
<def-item>
<term>SVM-RFE</term>
<def><p>Support Vector Machine-Recursive Feature Elimination</p></def>
</def-item>
<def-item>
<term>RF</term>
<def><p>Random Forest</p></def>
</def-item>
</def-list>
</glossary>
</back>
</article>