iMeta最新文献

{"title":"Age-specific reference intervals for plasma amino acids and their associations with nutrient intake in the Chinese pediatric population","authors":"Yang Wen,&nbsp;Qing Liu,&nbsp;Hongbo Zeng,&nbsp;Lina Lyu,&nbsp;Xuezhen He,&nbsp;Xin Zhang,&nbsp;Wentao Lyu,&nbsp;Weijun Chen,&nbsp;Yingping Xiao","doi":"10.1002/imt2.70051","DOIUrl":"https://doi.org/10.1002/imt2.70051","url":null,"abstract":"<p>A total of 2901 healthy Chinese children aged 0–12 years were enrolled in the reference group; 102 confirmed Phenylketonuria cases were included as validation individuals. Establishing the age-specific reference intervals of 42 plasma amino acids in Chinese pediatric populations. Profiling dynamic interactions between multiple nutrient intake and amino acid change patterns.\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":73342,"journal":{"name":"iMeta","volume":"4 3","pages":""},"PeriodicalIF":23.7,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/imt2.70051","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144197595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A multi-centered prospective birth cohort study in Western China","authors":"Xiangyu Li,&nbsp;Ying Wu,&nbsp;Bin Yi,&nbsp;Mengjie Chen,&nbsp;Gang Zhang,&nbsp;Xiaoshan Shao,&nbsp;Xiulian Jiang,&nbsp;Yuxia Cui,&nbsp;Li Chen,&nbsp;Xiaojing Dong,&nbsp;Shu Zhang,&nbsp;Yao Zhao,&nbsp;Yuebi Deng,&nbsp;Xueqi Li,&nbsp;Yang Wang,&nbsp;Lei Wu,&nbsp;Yu Fu,&nbsp;Dan Ran,&nbsp;Chen Peng,&nbsp;Xiao Yang,&nbsp;Lan Zhang,&nbsp;Yanxia Wang,&nbsp;Yi Zhu,&nbsp;Dina Sun,&nbsp;Yuchen Ran,&nbsp;Dan Zheng,&nbsp;Xuan Yin,&nbsp;Yufen Chen,&nbsp;Yu Long,&nbsp;Wenjing Wang,&nbsp;Xiaodong Zhao,&nbsp;Enmei Liu,&nbsp;Tao Xu,&nbsp;Qiu Li,&nbsp;Wen Zhong","doi":"10.1002/imt2.70049","DOIUrl":"https://doi.org/10.1002/imt2.70049","url":null,"abstract":"<p>The Western China Birth Cohort (WCBC) is a large-scale, multi-centered, prospective birth cohort study designed to address critical gaps in maternal and child health research in Western China, a region with diverse altitudes, ethnic groups, and unique environmental exposures. WCBC had enrolled 15,093 pregnant women across eight clinical centers in five provinces (Qinghai, Gansu, Guizhou, Chongqing, and Sichuan), spanning from the high-altitude Qinghai-Tibet Plateau to lowland regions. WCBC has collected over 220,000 medical records, 80,000 questionnaires, and 12 different types of biological samples, including peripheral blood, cord blood, dried blood spots, placenta, umbilical cord, decidua, saliva, feces, throat and nasal swabs, vaginal swabs, and breast milk. By integrating advanced multi-omics measurement, including genomics, proteomics, exosome profiling, metabolomics, spatial transcriptomics, single-cell RNA sequencing, culturome, metagenomics, and virosome analysis, WCBC provides a valuable platform to explore gene-environment interplay, early-life determinants of health, and long-term disease risks in diverse populations in Western China.\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":73342,"journal":{"name":"iMeta","volume":"4 3","pages":""},"PeriodicalIF":23.7,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/imt2.70049","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144197003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gut-derived Lactobacillus from exceptional responders mitigates chemoradiotherapy-induced intestinal injury through methionine-driven epigenetic modulation","authors":"Lu Yu,&nbsp;Zhenhui Chen,&nbsp;Shengqi Yin,&nbsp;Qiqing Guo,&nbsp;Yuchuan Chen,&nbsp;Jiaying Li,&nbsp;Yafang Wang,&nbsp;Xiangqiang Liu,&nbsp;Zi Xu,&nbsp;Yaowei Zhang,&nbsp;Yuqin Zhang,&nbsp;Zhihao Zheng,&nbsp;Keli Chen,&nbsp;Yanqing Ding,&nbsp;Hongying Fan,&nbsp;Zhifeng Liu,&nbsp;Yi Ding","doi":"10.1002/imt2.70043","DOIUrl":"https://doi.org/10.1002/imt2.70043","url":null,"abstract":"<p>Acute chemoradiotherapy-induced intestinal injury (ACRIII) is a common and debilitating complication in patients with colorectal cancer, significantly impairing both quality of life and treatment outcomes. This study aimed to investigate the role of the gut microbiome in mitigating ACRIII. Through bioinformatics analysis of clinical fecal samples and fecal microbiota transplantation (FMT) experiments in mice, we identified a strong association between a high abundance of <i>Lactobacillus</i> species and the absence of ACRIII. From the fecal samples of rectal cancer patients who achieved complete remission without experiencing ACRIII during chemoradiotherapy, 10 novel <i>Lactobacillus</i> strains were isolated and characterized. Among these, <i>Lacticaseibacillus rhamnosus</i> DY801 exhibited a robust capacity to synthesize methionine through metB. This microbial methionine production modulated methionine metabolism in host gut lymphoid tissue inducer (Lti) cells, without diminishing the therapeutic efficacy of chemoradiotherapy. Supplementation with methionine increased intracellular levels of S-adenosylmethionine and enhanced histone H3 lysine 4 trimethylation (H3K4me3) in Lti cells. These epigenetic modifications led to the suppression of pro-inflammatory cytokines interleukin-17A (IL-17A) and interleukin-22 (IL-22), ultimately reducing ACRIII severity. Our findings suggest that specific <i>Lactobacillus</i> strains derived from patients with exceptional treatment responses may offer a novel therapeutic avenue for preventing or alleviating ACRIII. This microbiome-based approach holds significant potential for improving patient outcomes and enhancing the tolerability of chemoradiotherapy in colorectal cancer.</p>","PeriodicalId":73342,"journal":{"name":"iMeta","volume":"4 3","pages":""},"PeriodicalIF":23.7,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/imt2.70043","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144196962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The microbiologist's guide to metaproteomics","authors":"Tim Van Den Bossche,&nbsp;Jean Armengaud,&nbsp;Dirk Benndorf,&nbsp;Jose Alfredo Blakeley-Ruiz,&nbsp;Madita Brauer,&nbsp;Kai Cheng,&nbsp;Marybeth Creskey,&nbsp;Daniel Figeys,&nbsp;Lucia Grenga,&nbsp;Timothy J. Griffin,&nbsp;Céline Henry,&nbsp;Robert L. Hettich,&nbsp;Tanja Holstein,&nbsp;Pratik D. Jagtap,&nbsp;Nico Jehmlich,&nbsp;Jonghyun Kim,&nbsp;Manuel Kleiner,&nbsp;Benoit J. Kunath,&nbsp;Xuxa Malliet,&nbsp;Lennart Martens,&nbsp;Subina Mehta,&nbsp;Bart Mesuere,&nbsp;Zhibin Ning,&nbsp;Alessandro Tanca,&nbsp;Sergio Uzzau,&nbsp;Pieter Verschaffelt,&nbsp;Jing Wang,&nbsp;Paul Wilmes,&nbsp;Xu Zhang,&nbsp;Xin Zhang,&nbsp;Leyuan Li,&nbsp;The Metaproteomics Initiative","doi":"10.1002/imt2.70031","DOIUrl":"https://doi.org/10.1002/imt2.70031","url":null,"abstract":"<p>Metaproteomics is an emerging approach for studying microbiomes, offering the ability to characterize proteins that underpin microbial functionality within diverse ecosystems. As the primary catalytic and structural components of microbiomes, proteins provide unique insights into the active processes and ecological roles of microbial communities. By integrating metaproteomics with other omics disciplines, researchers can gain a comprehensive understanding of microbial ecology, interactions, and functional dynamics. This review, developed by the Metaproteomics Initiative (www.metaproteomics.org), serves as a practical guide for both microbiome and proteomics researchers, presenting key principles, state-of-the-art methodologies, and analytical workflows essential to metaproteomics. Topics covered include experimental design, sample preparation, mass spectrometry techniques, data analysis strategies, and statistical approaches.</p>","PeriodicalId":73342,"journal":{"name":"iMeta","volume":"4 3","pages":""},"PeriodicalIF":23.7,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/imt2.70031","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144197164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to “Black rice diet alleviates colorectal cancer development through modulating tryptophan metabolism and activating AHR pathway”","authors":"","doi":"10.1002/imt2.70039","DOIUrl":"https://doi.org/10.1002/imt2.70039","url":null,"abstract":"<p>Wang, Ling, Yi-Xuan Tu, Lu Chen, Ke-Chun Yu, Hong-Kai Wang, Shu-Qiao Yang, Yuan Zhang, et al. 2024. “Black Rice Diet Alleviates Colorectal Cancer Development Through Modulating Tryptophan Metabolism and Activating AHR Pathway.” <i>iMeta 3</i>(1): e165. https://doi.org/10.1002/imt2.165</p><p>In Wang et al. [1], the content of C3G in Table S1 of Supporting Information should be corrected; the content of C3G (accounted for 6.59 μg/mg) should be 0.659 μg/mg.</p><p>The correct table should be as follows:\u0000\u0000 </p><p>We apologize for this error.</p><p><b>REFERENCE</b></p><p>1. Wang, Ling, Yi-Xuan Tu, Lu Chen, Ke-Chun Yu, Hong-Kai Wang, Shu-Qiao Yang, Yuan Zhang, et al. 2024. “Black Rice Diet Alleviates Colorectal Cancer Development Through Modulating Tryptophan Metabolism and Activating AHR Pathway.” <i>iMeta</i> 3, e165. https://doi.org/10.1002/imt2.165</p>","PeriodicalId":73342,"journal":{"name":"iMeta","volume":"4 3","pages":""},"PeriodicalIF":23.7,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/imt2.70039","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144197641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive analysis of multi-omics single-cell data using the single-cell analyst","authors":"Lu Pan,&nbsp;Bufu Tang,&nbsp;Xuan Zhang,&nbsp;Paolo Parini,&nbsp;Roman Tremmel,&nbsp;Joseph Loscalzo,&nbsp;Volker M. Lauschke,&nbsp;Bradley A. Maron,&nbsp;Paola Paci,&nbsp;Ingemar Ernberg,&nbsp;Nguan Soon Tan,&nbsp;Ákos Végvári,&nbsp;Zehuan Liao,&nbsp;Sundararaman Rengarajan,&nbsp;Roman Zubarev,&nbsp;Yuxuan Fan,&nbsp;Xu Zheng,&nbsp;Xinyue Jian,&nbsp;Ren Sheng,&nbsp;Zhenning Wang,&nbsp;Xuexin Li","doi":"10.1002/imt2.70038","DOIUrl":"https://doi.org/10.1002/imt2.70038","url":null,"abstract":"<p>The rapid advancement of multi-omics single-cell technologies has significantly enhanced our ability to investigate complex biological systems at unprecedented resolution. However, many existing analysis tools are complex, requiring substantial coding expertize, which can be a barrier for computationally less competent researchers. To address this challenge, we present single-cell analyst, a user-friendly, web-based platform to facilitate comprehensive multi-omics analysis. Single-cell analyst supports a wide range of data types, including six single-cell omics: single-cell RNA sequencing (scRNA-sequencing), single-cell assay for transposase accessible chromatin sequencing (scATAC-seq sequencing), single-cell immune profiling (scImmune profiling), single-cell copy number variation, cytometry by time-of-flight, and flow cytometry and spatial transcriptomics, and enables researchers to perform integrated analyses without requiring programming skills. The platform offers both online and offline modes, providing flexibility for various use cases. It automates critical analysis steps, such as quality control, data processing, and phenotype-specific analyses, while also offering interactive, publication-ready visualizations. With over 20 interactive tools for intermediate analysis, single cell analyst simplifies workflows and significantly reduces the learning curve typically associated with similar platforms. This robust tool accommodates datasets of varying sizes, completing analyses within minutes to hours depending on the data volume, and ensures efficient use of computational resources. By democratizing the complex process of multi-omics analysis, single-cell analyst serves as an accessible, all-encompassing solution for researchers of diverse technical backgrounds. The platform is freely accessible at www.singlecellanalyst.org.</p>","PeriodicalId":73342,"journal":{"name":"iMeta","volume":"4 3","pages":""},"PeriodicalIF":23.7,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/imt2.70038","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144197655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ggClusterNet 2: An R package for microbial co-occurrence networks and associated indicator correlation patterns","authors":"Tao Wen,&nbsp;Yong-Xin Liu,&nbsp;Lanlan Liu,&nbsp;Guoqing Niu,&nbsp;Zhexu Ding,&nbsp;Xinyang Teng,&nbsp;Jie Ma,&nbsp;Ying Liu,&nbsp;Shengdie Yang,&nbsp;Penghao Xie,&nbsp;Tianjiao Zhang,&nbsp;Lei Wang,&nbsp;Zhanyuan Lu,&nbsp;Qirong Shen,&nbsp;Jun Yuan","doi":"10.1002/imt2.70041","DOIUrl":"https://doi.org/10.1002/imt2.70041","url":null,"abstract":"<p>Since its initial release in 2022, <i>ggClusterNet</i> has become a vital tool for microbiome research, enabling microbial co-occurrence network analysis and visualization in over 300 studies. To address emerging challenges, including multi-factor experimental designs, multi-treatment conditions, and multi-omics data, we present a comprehensive upgrade with four key components: (1) A microbial co-occurrence network pipeline integrating network computation (Pearson/Spearman/SparCC correlations), visualization, topological characterization of network and node properties, multi-network comparison with statistical testing, network stability (robustness) analysis, and module identification and analysis; (2) Network mining functions for multi-factor, multi-treatment, and spatiotemporal-scale analysis, including <i>Facet.Network()</i> and <i>module.compare.m.ts()</i>; (3) Transkingdom network construction using microbiota, multi-omics, and other relevant data, with diverse visualization layouts such as <i>MatCorPlot2()</i> and <i>cor_link3()</i>; and (4) Transkingdom and multi-omics network analysis, including <i>corBionetwork.st()</i> and visualization algorithms tailored for complex network exploration, including <i>model_maptree2()</i>, <i>model_Gephi.3()</i>, and <i>cir.squ()</i>. The updates in <i>ggClusterNet 2</i> enable researchers to explore complex network interactions, offering a robust, efficient, user-friendly, reproducible, and visually versatile tool for microbial co-occurrence networks and indicator correlation patterns. The <i>ggClusterNet 2</i>R package is open-source and available on GitHub (https://github.com/taowenmicro/ggClusterNet).</p>","PeriodicalId":73342,"journal":{"name":"iMeta","volume":"4 3","pages":""},"PeriodicalIF":23.7,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/imt2.70041","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144197650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Serum metabolic and microbial profiling yields insights into promoting effect of tryptophan-related metabolites for health longevity in centenarians","authors":"Xiaorou Qiu,&nbsp;Chao Mu,&nbsp;Jie Hu,&nbsp;Jiaxin Yu,&nbsp;Wenbo Tang,&nbsp;Yueli Liu,&nbsp;Yongmei Huang,&nbsp;Yixian Lu,&nbsp;Peihua Tang,&nbsp;Jingzhen Wu,&nbsp;Zixuan Huang,&nbsp;Xianlin Mei,&nbsp;Huaguo Xiang,&nbsp;Hao Lin,&nbsp;Yi Qi,&nbsp;Hui Luo,&nbsp;Xuemeng Li","doi":"10.1002/imt2.70025","DOIUrl":"https://doi.org/10.1002/imt2.70025","url":null,"abstract":"<p>A better understanding of the characteristic serum metabolites and microbiota from the gut and oral cavity in centenarians could contribute to elucidating the mutual connections among them and would help provide information to achieve healthy longevity. Here, we have recruited a total of 425 volunteers, including 145 centenarians in Suixi county — the first certified “International Longevity and Health Care Base” in China. An integrative analysis for the serum metabolites, gut, and oral microbiota of centenarians (aged 100–120) was compared with those of centenarians' lineal relatives (aged 24–86), the elderly (aged 65–88) and young (aged 23–54). Strikingly distinct metabolomic and microbiological profiles were observed within the centenarian signature, longevity family signature, and aging signature, underscoring the metabolic and microbiological diversity among centenarians and their lineal relatives. Within the centenarian between healthy and frail individuals, significant differences in metabolite profiles and microbiota compositions are observed, suggesting that healthy longevity is associated with unique metabolic and microbiota patterns. Through an integrative analysis, the tryptophan pathway has been revealed to be an important potential mechanism for individuals to achieve healthy longevity. Specifically, a key tryptophan metabolite, 5-methoxyindoleacetic acid (5-MIAA), was revealed to be associated with the genus <i>Christensenellaceae</i> R-7 group, and it exhibited effects of delaying cell senescence, promoting lifespan, and alleviating inflammation. Our characterization of the extensive metabolomic and microbiota remodeling in centenarians may offer new scientific insights for achieving healthy longevity.</p>","PeriodicalId":73342,"journal":{"name":"iMeta","volume":"4 3","pages":""},"PeriodicalIF":23.7,"publicationDate":"2025-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/imt2.70025","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144197642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Potential pitfalls in claiming novel taxa","authors":"Rashidin Abdugheni,&nbsp;Shuang-Jiang Liu","doi":"10.1002/imt2.70036","DOIUrl":"https://doi.org/10.1002/imt2.70036","url":null,"abstract":"<p>Prokaryotic taxonomy based on short 16S rRNA sequences may lead to an overestimation of microbial diversity. In addition, a lack of sufficient coverage of previously reported taxa may lead to repetition or overestimation of novel taxa. In light of a recent study published in iMeta, we have issued a comment to remind microbial taxonomists of the importance of maintaining rigor and precision when delineating microbial species, urging researchers to avoid imprecise approaches.\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":73342,"journal":{"name":"iMeta","volume":"4 3","pages":""},"PeriodicalIF":23.7,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/imt2.70036","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144197097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gut microbiota-derived butyrate mediates the anticolitic effect of indigo supplementation through regulating CD4+ T cell differentiation","authors":"Yunqi Xing,&nbsp;Muyuan Wang,&nbsp;Yali Yuan,&nbsp;Jiayan Hu,&nbsp;Zhibin Wang,&nbsp;Zhongmei Sun,&nbsp;Mengyu Zheng,&nbsp;Lei Shi,&nbsp;Junxiang Li,&nbsp;Tangyou Mao","doi":"10.1002/imt2.70040","DOIUrl":"https://doi.org/10.1002/imt2.70040","url":null,"abstract":"<p>This study explored the effect of plant-derived indigo supplementation on intestinal inflammation using in vivo, in vitro, and clinical sample analyses. Our results showed that indigo decreased mucosal inflammation by regulating CD4⁺ T cell differentiation in a gut microbiota-dependent manner. Microbes transferred from indigo-treated mice, indigo-induced enrichment of <i>Roseburia intestinalis</i>, and its metabolite butyrate played a role in Th17/Treg immunity similar to that of indigo in intestinal inflammation, which was involved in mTORC1/HIF-1α signal-mediated reprogrammed glucose metabolism. We further showed that patients with ulcerative colitis exhibited significant gut dysbiosis and CD4⁺ T cell differentiation abnormalities. Our findings provide new insights into the gut-immune axis in ulcerative colitis, offering a novel microbial-based immunotherapy for the treatment of inflammatory bowel disease.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":73342,"journal":{"name":"iMeta","volume":"4 3","pages":""},"PeriodicalIF":23.7,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/imt2.70040","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144197098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}