Untangling Complexity: Gut Microbiota, Metabolites, and Fiber Intake in Type 2 Diabetes

HomeCirculation ResearchVol. 134, No. 7Untangling Complexity: Gut Microbiota, Metabolites, and Fiber Intake in Type 2 Diabetes No AccessEditorialRequest AccessFull TextAboutView Full TextView PDFView EPUBSections ToolsAdd to favoritesDownload citationsTrack citationsPermissions ShareShare onFacebookTwitterLinked InMendeleyReddit Jump toNo AccessEditorialRequest AccessFull TextUntangling Complexity: Gut Microbiota, Metabolites, and Fiber Intake in Type 2 Diabetes Nathan T. Greenberg and Vienna E. Brunt Nathan T. GreenbergNathan T. Greenberg https://orcid.org/0000-0001-5174-3195 Department of Integrative Physiology, University of Colorado Boulder, CO (N.T.G.). Department of Integrative Physiology, University of Colorado Boulder, CO (N.T.G.). and Vienna E. BruntVienna E. Brunt Correspondence to: Vienna E. Brunt, PhD, Division of Renal Diseases and Hypertension, Department of Medicine, University of Colorado Anschutz Medical Campus, 12700 E 19th Ave, Aurora, CO 80045. Email E-mail Address: [email protected] https://orcid.org/0000-0002-1941-7936 Department of Integrative Physiology, University of Colorado Boulder, CO (N.T.G.). Division of Renal Diseases and Hypertension, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO (V.E.B.). Originally published28 Mar 2024https://doi.org/10.1161/CIRCRESAHA.124.324333Circulation Research. 2024;134:855–857This article is a commentary on the followingGut Microbiota and Blood Metabolites Related to Fiber Intake and Type 2 DiabetesFootnotesThe opinions expressed in this article are not necessarily those of the editors or of the American Heart Association.For Sources of Funding and Disclosures, see page 857.Correspondence to: Vienna E. Brunt, PhD, Division of Renal Diseases and Hypertension, Department of Medicine, University of Colorado Anschutz Medical Campus, 12700 E 19th Ave, Aurora, CO 80045. Email vienna.brunt@cuanschutz.eduREFERENCES1. Arnold JW, Roach J, Azcarate-Peril MA. Emerging technologies for gut microbiome research.Trends Microbiol. 2016; 24:887–901. doi: 10.1016/j.tim.2016.06.008CrossrefMedlineGoogle Scholar2. Shaffer M, Armstrong AJS, Phelan VV, Reisdorph N, Lozupone CA. Microbiome and metabolome data integration provides insight into health and disease.Trans Res. 2017; 189:51–64. doi: 10.1016/j.trsl.2017.07.001CrossrefGoogle Scholar3. Wang Z, Peters B, Yu B, Grove M, Wang T, Xue X, Thyagarajan B, Daviglus M, Boerwinkle E, Hu G, et al. Gut microbiota and circulating metabolites associated with dietary fiber intake and type 2 diabetes.Circ Res. 2024; 134:842–854. doi: 10.1161/CIRCRESAHA.123.323634LinkGoogle Scholar4. McRae MP. Dietary fiber intake and type 2 diabetes mellitus: an umbrella review of meta-analyses.J Chiropr Med. 2018; 17:44–53. doi: 10.1016/j.jcm.2017.11.002CrossrefMedlineGoogle Scholar5. Jenkins DJA, Kendall CWC, McKeown-Eyssen G, Josse RG, Silverberg J, Booth GL, Vidgen E, Josse AR, Nguyen TH, Corrigan S, et al. Effect of a low-glycemic index or a high-cereal fiber diet on type 2 diabetes: a randomized trial.JAMA. 2008; 300:2742–2753. doi: 10.1001/jama.2008.808CrossrefMedlineGoogle Scholar6. Xian C, Zhang J, Zhao S, Li XG. Gut-on-a-chip for disease models.J Tissue Eng. 2023; 14:20417314221149882. doi: 10.1177/20417314221149882CrossrefGoogle Scholar7. Valiei A, Aminian-Dehkordi J, Mofrad MRK. Gut-on-a-chip models for dissecting the gut microbiology and physiology.APL Bioeng. 2023; 7:011502. doi: 10.1063/5.0126541CrossrefMedlineGoogle Scholar8. Thomas DP, Zhang J, Nguyen NT, Ta HT. Microfluidic gut-on-a-chip: fundamentals and challenges.Biosensors (Basel). 2023; 13:136. doi: 10.3390/bios13010136CrossrefMedlineGoogle Scholar9. Ning L, Zhou YL, Sun H, Zhang Y, Shen C, Wang Z, Xuan B, Zhao Y, Ma Y, Yan Y, et al. Microbiome and metabolome features in inflammatory bowel disease via multi-omics integration analyses across cohorts.Nat Commun. 2023; 14:7135. doi: 10.1038/s41467-023-42788-0CrossrefMedlineGoogle Scholar10. Chen F, Dai X, Zhou C, Li K, Zhang Y, Lou X, Zhu Y, Sun Y, Peng B, Cui W. Integrated analysis of the faecal metagenome and serum metabolome reveals the role of gut microbiome-associated metabolites in the detection of colorectal cancer and adenoma.Gut. 2022; 71:1315–1325. doi: 10.1136/gutjnl-2020-323476CrossrefMedlineGoogle Scholar11. Turnbaugh PJ, Gordon JI. An invitation to the marriage of metagenomics and metabolomics.Cell. 2008; 134:708–713. doi: 10.1016/j.cell.2008.08.025CrossrefMedlineGoogle Scholar eLetters(0)eLetters should relate to an article recently published in the journal and are not a forum for providing unpublished data. Comments are reviewed for appropriate use of tone and language. Comments are not peer-reviewed. Acceptable comments are posted to the journal website only. Comments are not published in an issue and are not indexed in PubMed. Comments should be no longer than 500 words and will only be posted online. References are limited to 10. Authors of the article cited in the comment will be invited to reply, as appropriate.Comments and feedback on AHA/ASA Scientific Statements and Guidelines should be directed to the AHA/ASA Manuscript Oversight Committee via its Correspondence page.Sign In to Submit a Response to This Article Previous Back to top Next FiguresReferencesRelatedDetailsRelated articlesGut Microbiota and Blood Metabolites Related to Fiber Intake and Type 2 DiabetesZheng Wang, et al. Circulation Research. 2024;134:842-854 March 29, 2024Vol 134, Issue 7 Advertisement Article InformationMetrics © 2024 American Heart Association, Inc.https://doi.org/10.1161/CIRCRESAHA.124.324333PMID: 38547248 Originally publishedMarch 28, 2024 KeywordsEditorialscomputational biologydiabetes mellitus, type 2gastrointestinal microbiomehumansmetabolomicsPDF download Advertisement