Cheng HL, Medlow S, Steinbeck K. The health consequences of obesity in young adulthood. Curr Obes Rep. 2016;5:30–7.

Article  PubMed  Google Scholar 

Turnbaugh PJ, Ley RE, Mahowald MA, Magrini V, Mardis ER, Gordon JI. An obesity-associated gut microbiome with increased capacity for energy harvest. Nature. 2006;444:1027–31.

Article  PubMed  Google Scholar 

Cornejo-Pareja I, Munoz-Garach A, Clemente-Postigo M, Tinahones FJ. Importance of gut microbiota in obesity. Eur J Clin Nutr. 2019;72:26–37.

Article  CAS  PubMed  Google Scholar 

Lim YY, Lee YS, Ooi DSQ. Engineering the gut microbiome for treatment of obesity: a review of current understanding and progress. Biotechnol J. 2020;15:e2000013.

Article  PubMed  Google Scholar 

Qin J, Li Y, Cai Z, Li S, Zhu J, Zhang F, et al. A metagenome-wide association study of gut microbiota in type 2 diabetes. Nature. 2012;490:55–60.

Article  CAS  PubMed  Google Scholar 

Nuli R, Cai J, Kadeer A, Zhang Y, Mohemaiti P. Integrative analysis toward different glucose tolerance-related gut microbiota and diet. Front Endocrinol. 2019;10:295.

Article  Google Scholar 

Zhou W, Sailani MR, Contrepois K, Zhou Y, Ahadi S, Leopold SR, et al. Longitudinal multi-omics of host-microbe dynamics in prediabetes. Nature. 2019;569:663–71.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Forslund K, Hildebrand F, Nielsen T, Falony G, Le Chatelier E, Sunagawa S, et al. Disentangling type 2 diabetes and metformin treatment signatures in the human gut microbiota. Nature. 2015;528:262–6.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Allin KH, Tremaroli V, Caesar R, Jensen BAH, Damgaard MTF, Bahl MI, et al. Aberrant intestinal microbiota in individuals with prediabetes. Diabetologia. 2018;61:810–20.

Article  PubMed  PubMed Central  Google Scholar 

Wu H, Tremaroli V, Schmidt C, Lundqvist A, Olsson LM, Kramer M, et al. The gut microbiota in prediabetes and diabetes: a population-based cross-sectional study. Cell Metab. 2020;32:379–90.e3.

Article  CAS  PubMed  Google Scholar 

Tilg H, Moschen AR. Microbiota and diabetes: an evolving relationship. Gut. 2014;63:1513–21.

Article  CAS  PubMed  Google Scholar 

Zhang X, Shen D, Fang Z, Jie Z, Qiu X, Zhang C, et al. Human gut microbiota changes reveal the progression of glucose intolerance. PLoS ONE. 2013;8:e71108.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Bhute SS, Suryavanshi MV, Joshi SM, Yajnik CS, Shouche YS, Ghaskadbi SS. Gut microbial diversity assessment of Indian type-2-diabetics reveals alterations in Eubacteria, Archaea, and Eukaryotes. Front Microbiol. 2017;8:214.

Article  PubMed  PubMed Central  Google Scholar 

Zhao L, Lou H, Peng Y, Chen S, Zhang Y, Li X. Comprehensive relationships between gut microbiome and faecal metabolome in individuals with type 2 diabetes and its complications. Endocrine. 2019;66:526–37.

Article  CAS  PubMed  Google Scholar 

Zhong H, Ren H, Lu Y, Fang C, Hou G, Yang Z, et al. Distinct gut metagenomics and metaproteomics signatures in prediabetics and treatment-naive type 2 diabetics. EBioMedicine. 2019;47:373–83.

Article  PubMed  PubMed Central  Google Scholar 

Wang L, Yu X, Xu X, Ming J, Wang Z, Gao B, et al. The fecal microbiota is already altered in normoglycemic individuals who go on to have type 2 diabetes. Front Cell Infect Microbiol. 2021;11:598672.

Article  PubMed  PubMed Central  Google Scholar 

Letchumanan G, Abdullah N, Marlini M, Baharom N, Lawley B, Omar MR, et al. Gut microbiota composition in prediabetes and newly diagnosed type 2 diabetes: a systematic review of observational studies. Front Cell Infect Microbiol. 2022;12:943427.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Gaike AH, Paul D, Bhute S, Dhotre DP, Pande P, Upadhyaya S, et al. The gut microbial diversity of newly diagnosed diabetics but not of prediabetics is significantly different from that of healthy nondiabetics. mSystems. 2020;5:e00578-19.

Article  PubMed  PubMed Central  Google Scholar 

Li L, Li C, Lv M, Hu Q, Guo L, Xiong D. Correlation between alterations of gut microbiota and miR-122-5p expression in patients with type 2 diabetes mellitus. Ann Transl Med. 2020;8:1481.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Karlsson FH, Tremaroli V, Nookaew I, Bergstrom G, Behre CJ, Fagerberg B, et al. Gut metagenome in European women with normal, impaired and diabetic glucose control. Nature. 2013;498:99–103.

Article  CAS  PubMed  Google Scholar 

Diener C, Reyes-Escogido ML, Jimenez-Ceja LM, Matus M, Gomez-Navarro CM, Chu ND, et al. Progressive shifts in the gut microbiome reflect prediabetes and diabetes development in a treatment-naive Mexican cohort. Front Endocrinol. 2020;11:602326.

Article  Google Scholar 

Ghaemi F, Fateh A, Sepahy AA, Zangeneh M, Ghanei M, Siadat SD. Intestinal microbiota composition in Iranian diabetic, pre-diabetic and healthy individuals. J Diabetes Metab Disord. 2020;19:1199–203.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Chen PC, Chien YW, Yang SC. The alteration of gut microbiota in newly diagnosed type 2 diabetic patients. Nutrition. 2019;63-64:51–6.

Article  PubMed  Google Scholar 

Prochazkova M, Budinska E, Kuzma M, Pelantova H, Hradecky J, Heczkova M, et al. Vegan diet is associated with favorable effects on the metabolic performance of intestinal microbiota: a cross-sectional multi-omics study. Front Nutr. 2021;8:783302.

Article  PubMed  Google Scholar 

Colantonio AG, Werner SL, Brown M. The effects of prebiotics and substances with prebiotic properties on metabolic and inflammatory biomarkers in individuals with type 2 diabetes mellitus: a systematic review. J Acad Nutr Diet. 2020;120:587–607.e2.

Article  PubMed  Google Scholar 

Davis LM, Martinez I, Walter J, Goin C, Hutkins RW. Barcoded pyrosequencing reveals that consumption of galactooligosaccharides results in a highly specific bifidogenic response in humans. PLoS ONE. 2011;6:e25200.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Zhao L, Zhang F, Ding X, Wu G, Lam YY, Wang X, et al. Gut bacteria selectively promoted by dietary fibers alleviate type 2 diabetes. Science. 2018;359:1151–6.

Article  CAS  PubMed  Google Scholar 

Wareham NJ. Personalised prevention of type 2 diabetes. Diabetologia. 2022;65:1796–1803.

Le DS, Brookshire T, Krakoff J, Bunt JC. Repeatability and reproducibility of the hyperinsulinemic-euglycemic clamp and the tracer dilution technique in a controlled inpatient setting. Metabolism. 2009;58:304–10.

Article  CAS  PubMed  PubMed Central  Google Scholar 

DeFronzo RA, Tobin JD, Andres R. Glucose clamp technique: a method for quantifying insulin secretion and resistance. Am J Physiol. 1979;237:E214–23.

CAS  PubMed  Google Scholar 

Callahan BJ, McMurdie PJ, Rosen MJ, Han AW, Johnson AJ, Holmes SP. DADA2: high-resolution sample inference from Illumina amplicon data. Nat Methods. 2016;13:581–3.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Han J, Lin K, Sequeira C, Borchers CH. An isotope-labeled chemical derivatization method for the quantitation of short-chain fatty acids in human feces by liquid chromatography-tandem mass spectrometry. Anal Chim Acta. 2015;854:86–94.

Article  CAS  PubMed  Google Scholar 

Dieterle F, Ross A, Schlotterbeck G, Senn H. Probabilistic quotient normalization as robust method to account for dilution of complex biological mixtures. Application in 1H NMR metabonomics. Anal Chem. 2006;78:4281–90.

Article  CAS  PubMed  Google Scholar 

R Core Team. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. 2017.

Sam QH, Ling H, Yew WS, Tan Z, Ravikumar S, Chang MW, et al. The divergent immunomodulatory effects of short chain fatty acids and medium chain fatty acids. Int J Mol Sci. 2021;22:6453.

Le Chatelier E, Nielsen T, Qin J, Prifti E, Hildebrand F, Falony G, et al. Richness of human gut microbiome correlates with metabolic markers. Nature. 2013;500:541–6.

Article  PubMed  Google Scholar 

Nissen L, Samaei SP, Babini E, Gianotti A. Gluten free sourdough bread enriched with cricket flour for protein fortification: Antioxidant improvement and Volatilome characterization. Food Chem. 2020;333:127410.

Article  CAS  PubMed  Google Scholar 

Luscombe VB, Lucy D, Bataille CJR, Russell AJ, Greaves DR. 20 years an orphan: is GPR84 a plausible medium-chain fatty acid-sensing receptor? DNA Cell Biol. 2020;39:1926–37.

Article  CAS  PubMed  Google Scholar 

Saresella M, Marventano I, Barone M, La Rosa F, Piancone F, Mendozzi L, et al. Alterations in circulating fatty acid are associated with gut microbiota dysbiosis and inflammation in multiple sclerosis. Front Immunol. 2020;11:1390.

Article  CAS  PubMed