{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T04:55:58Z","timestamp":1790916958181,"version":"4.1.0"},"reference-count":55,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T00:00:00Z","timestamp":1790899200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Microbiol."],"abstract":"<jats:p>\n                    Type 2 diabetes and obesity commonly coexist, making glycemia and body weight both central treatment goals. Few trials have directly compared a high-fiber dietary intervention with metformin. The factors associated with individual responses to high-fiber diet also remain unclear. In this single-center, open-label, head-to-head clinical trial, 48 adults with newly diagnosed type 2 diabetes and overweight or obesity were randomized to a high-fiber dietary intervention without glucose-lowering medication (\n                    <jats:italic>n<\/jats:italic>\n                    \u202f=\u202f36) or metformin (\n                    <jats:italic>n<\/jats:italic>\n                    \u202f=\u202f12) monotherapy for 84\u202fdays; 46 completed the trial. Clinical outcomes and 184 fecal samples were assessed longitudinally using shotgun metagenomic and metabolite profiling. At Day 84, the high-fiber group had greater reductions in glycated hemoglobin and body mass index and lower glycemic variability than the metformin group. The diet altered gut microbiota by Day 28, enriching genomes from\n                    <jats:italic>Bifidobacterium<\/jats:italic>\n                    and\n                    <jats:italic>Lactobacillus<\/jats:italic>\n                    and depleting genomes from\n                    <jats:italic>Bilophila wadsworthia<\/jats:italic>\n                    , but metformin produced little detectable microbiota change. These changes included increased acetate-production functions and decreased hydrogen sulfide-production functions; fecal hydrogen sulfide was lower at Days 28 and 56, although short-chain fatty acid concentrations did not differ between groups at matched time points. Within the high-fiber group, participants with increased fecal acetate (25 of 34) had larger glycated hemoglobin reductions at Days 28 and 56, and baseline microbial features differed between acetate-response subgroups. These findings support high-fiber diet as a non-pharmacologic strategy for diabesity, with baseline microbial features as candidate markers of response.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Clinical trial registration:<\/jats:bold>\n                    ChiCTR-INR-17011752.\n                  <\/jats:p>","DOI":"10.3389\/fmicb.2026.1972983","type":"journal-article","created":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T04:41:35Z","timestamp":1790916095000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["High-fiber diet altered gut microbiota, improved glycemic control, and reduced body weight in newly diagnosed type 2 diabetes and obesity"],"prefix":"10.3389","volume":"17","author":[{"given":"Yan","family":"Li","sequence":"first","affiliation":[{"name":"State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University","place":["Shanghai, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yalei","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Endocrinology, Henan Provincial Key Medicine Laboratory of Intestinal Microecology and Diabetes, Diabetes Microecology Diagnosis and Treatment and Transformation Engineering Research Center of Henan Province, Henan Provincial People\u2019s Hospital, People\u2019s Hospital of Zhengzhou University","place":["Zhengzhou, China"]},{"name":"Henan Provincial People\u2019s Hospital","place":["Zhengzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yiqi","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Endocrinology, Henan Provincial Key Medicine Laboratory of Intestinal Microecology and Diabetes, Diabetes Microecology Diagnosis and Treatment and Transformation Engineering Research Center of Henan Province, Henan Provincial People\u2019s Hospital, People\u2019s Hospital of Zhengzhou University","place":["Zhengzhou, China"]},{"name":"Henan Provincial People\u2019s Hospital","place":["Zhengzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Baoyu","family":"Xiang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University","place":["Shanghai, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huaqing","family":"Fu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University","place":["Shanghai, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Han","family":"Pan","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University","place":["Shanghai, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ting","family":"Xu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University","place":["Shanghai, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhaojie","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University","place":["Shanghai, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yajie","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University","place":["Shanghai, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huijuan","family":"Yuan","sequence":"additional","affiliation":[{"name":"Department of Endocrinology, Henan Provincial Key Medicine Laboratory of Intestinal Microecology and Diabetes, Diabetes Microecology Diagnosis and Treatment and Transformation Engineering Research Center of Henan Province, Henan Provincial People\u2019s Hospital, People\u2019s Hospital of Zhengzhou University","place":["Zhengzhou, China"]},{"name":"Henan Provincial People\u2019s Hospital","place":["Zhengzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenhong","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University","place":["Shanghai, 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fibers","volume":"10","author":"Baxter","year":"2019","journal-title":"mBio"},{"key":"ref4","doi-asserted-by":"publisher","first-page":"446","DOI":"10.1136\/bmj.310.6977.446","article-title":"Calculating correlation coefficients with repeated observations: part 1--correlation within subjects","volume":"310","author":"Bland","year":"1995","journal-title":"BMJ"},{"key":"ref5","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1016\/j.diabet.2013.05.004","article-title":"Changes in body mass index following newly diagnosed type 2 diabetes and risk of cardiovascular mortality: a cohort study of 8486 primary-care patients","volume":"39","author":"Bodegard","year":"2013","journal-title":"Diabetes Metab."},{"key":"ref6","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1113\/JP272613","article-title":"Systemic availability and metabolism of colonic-derived short-chain fatty acids in healthy subjects: a stable isotope study","volume":"595","author":"Boets","year":"2017","journal-title":"J. Physiol."},{"key":"ref7","doi-asserted-by":"publisher","first-page":"2114","DOI":"10.1093\/bioinformatics\/btu170","article-title":"Trimmomatic: a flexible trimmer for Illumina sequence data","volume":"30","author":"Bolger","year":"2014","journal-title":"Bioinformatics"},{"key":"ref8","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1038\/nmeth.3176","article-title":"Fast and sensitive protein alignment using DIAMOND","volume":"12","author":"Buchfink","year":"2015","journal-title":"Nat. Methods"},{"key":"ref9","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1038\/s41574-019-0156-z","article-title":"Gut microbial metabolites in obesity, NAFLD and T2DM","volume":"15","author":"Canfora","year":"2019","journal-title":"Nat. Rev. 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Natl. Acad. Sci. U. S. A."},{"key":"ref37","doi-asserted-by":"publisher","first-page":"1601","DOI":"10.1038\/s42255-024-01068-x","article-title":"Hydrogen sulfide produced by the gut microbiota impairs host metabolism via reducing GLP-1 levels in male mice","volume":"6","author":"Qi","year":"2024","journal-title":"Nat. Metab."},{"key":"ref38","doi-asserted-by":"publisher","first-page":"571731","DOI":"10.3389\/fimmu.2020.571731","article-title":"Gut microbiota as a trigger for metabolic inflammation in obesity and type 2 diabetes","volume":"11","author":"Scheithauer","year":"2020","journal-title":"Front. Immunol."},{"key":"ref39","doi-asserted-by":"publisher","first-page":"2068","DOI":"10.1093\/bioinformatics\/btu153","article-title":"Prokka: rapid prokaryotic genome annotation","volume":"30","author":"Seemann","year":"2014","journal-title":"Bioinformatics"},{"key":"ref40","doi-asserted-by":"publisher","first-page":"e191","DOI":"10.1002\/imt2.191","article-title":"SeqKit2: a Swiss army knife for sequence and alignment processing","volume":"3","author":"Shen","year":"2024","journal-title":"Imeta"},{"key":"ref41","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1016\/b978-0-12-571129-6.50016-6","article-title":"Endocrine and metabolic effects of experimental obesity in man","volume":"29","author":"Sims","year":"1973","journal-title":"Recent Prog. Horm. Res."},{"key":"ref42","doi-asserted-by":"publisher","first-page":"1964","DOI":"10.1038\/s41564-024-01737-3","article-title":"Dietary fibre directs microbial tryptophan metabolism via metabolic interactions in the gut microbiota","volume":"9","author":"Sinha","year":"2024","journal-title":"Nat. Microbiol."},{"key":"ref43","doi-asserted-by":"publisher","first-page":"11506","DOI":"10.1038\/s41467-025-66498-x","article-title":"Gut microbiome predicts personalized responses to dietary fiber in prediabetes: a randomized, open-label trial","volume":"16","author":"Song","year":"2025","journal-title":"Nat. Commun."},{"key":"ref44","doi-asserted-by":"publisher","first-page":"1919","DOI":"10.1038\/s41591-018-0222-4","article-title":"Gut microbiota and intestinal FXR mediate the clinical benefits of metformin","volume":"24","author":"Sun","year":"2018","journal-title":"Nat. Med."},{"key":"ref45","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1038\/s41586-023-06466-x","article-title":"Gut microbial carbohydrate metabolism contributes to insulin resistance","volume":"621","author":"Takeuchi","year":"2023","journal-title":"Nature"},{"key":"ref46","doi-asserted-by":"publisher","first-page":"547","DOI":"10.1016\/j.cmet.2018.07.003","article-title":"Remission of human type 2 diabetes requires decrease in liver and pancreas fat content but is dependent upon capacity for beta cell recovery","volume":"28","author":"Taylor","year":"2018","journal-title":"Cell Metab."},{"key":"ref47","doi-asserted-by":"publisher","first-page":"364","DOI":"10.2337\/db11-1019","article-title":"Short-chain fatty acids stimulate glucagon-like peptide-1 secretion via the G-protein-coupled receptor FFAR2","volume":"61","author":"Tolhurst","year":"2012","journal-title":"Diabetes"},{"key":"ref48","doi-asserted-by":"publisher","first-page":"e02392-17","DOI":"10.1128\/mBio.02392-17","article-title":"Structural alteration of gut microbiota during the amelioration of human type 2 diabetes with hyperlipidemia by metformin and a traditional Chinese herbal formula: a multicenter, randomized, open label clinical trial","volume":"9","author":"Tong","year":"2018","journal-title":"MBio"},{"key":"ref49","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1186\/s40168-016-0178-x","article-title":"Variable responses of human microbiomes to dietary supplementation with resistant starch","volume":"4","author":"Venkataraman","year":"2016","journal-title":"Microbiome"},{"key":"ref50","doi-asserted-by":"publisher","first-page":"850","DOI":"10.1038\/nm.4345","article-title":"Metformin alters the gut microbiome of individuals with treatment-naive type 2 diabetes, contributing to the therapeutic effects of the drug","volume":"23","author":"Wu","year":"2017","journal-title":"Nat. Med."},{"key":"ref51","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1007\/s13679-019-00335-3","article-title":"Metformin: mechanisms in human obesity and weight loss","volume":"8","author":"Yerevanian","year":"2019","journal-title":"Curr. Obes. Rep."},{"key":"ref52","doi-asserted-by":"publisher","first-page":"1079","DOI":"10.1016\/j.cell.2015.11.001","article-title":"Personalized nutrition by prediction of glycemic responses","volume":"163","author":"Zeevi","year":"2015","journal-title":"Cell"},{"key":"ref53","doi-asserted-by":"publisher","first-page":"W95","DOI":"10.1093\/nar\/gky418","article-title":"dbCAN2: a meta server for automated carbohydrate-active enzyme annotation","volume":"46","author":"Zhang","year":"2018","journal-title":"Nucleic Acids Res."},{"key":"ref54","doi-asserted-by":"publisher","first-page":"1151","DOI":"10.1126\/science.aao5774","article-title":"Gut bacteria selectively promoted by dietary fibers alleviate type 2 diabetes","volume":"359","author":"Zhao","year":"2018","journal-title":"Science"},{"key":"ref55","doi-asserted-by":"publisher","first-page":"e132","DOI":"10.1093\/nar\/gkq275","article-title":"Ab initio gene identification in metagenomic sequences","volume":"38","author":"Zhu","year":"2010","journal-title":"Nucleic Acids Res."}],"container-title":["Frontiers in Microbiology"],"original-title":[],"link":[{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fmicb.2026.1972983\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T04:41:40Z","timestamp":1790916100000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fmicb.2026.1972983\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10,2]]},"references-count":55,"alternative-id":["10.3389\/fmicb.2026.1972983"],"URL":"https:\/\/doi.org\/10.3389\/fmicb.2026.1972983","relation":{},"ISSN":["1664-302X"],"issn-type":[{"value":"1664-302X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,10,2]]},"article-number":"1972983"}}