795
Views
4
CrossRef citations to date
0
Altmetric
ORIGINAL RESEARCH

Gut Microbiota Signature of Obese Adults Across Different Classifications

, , , , , ORCID Icon, , , & ORCID Icon show all
Pages 3933-3947 | Received 25 Aug 2022, Accepted 28 Oct 2022, Published online: 29 Dec 2022

References

  • Pan X-F, Wang L, Pan A. Epidemiology and determinants of obesity in China. Lancet Diabetes Endocrinol. 2021;9(6):373–392. doi:10.1016/S2213-8587(21)00045-0
  • Qin X, Pan J. The Medical Cost Attributable to Obesity and Overweight in China: estimation Based on Longitudinal Surveys. Health Econ. 2016;25(10):1291–1311. doi:10.1002/hec.3217
  • WHO. Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organ Tech Rep Ser. 2000;894:i–xii, 1–253.
  • de Vos WM, Tilg H, Van Hul M, Cani PD. Gut microbiome and health: mechanistic insights. Gut. 2022;71(5):1020–1032. doi:10.1136/gutjnl-2021-326789
  • Fan Y, Pedersen O. Gut microbiota in human metabolic health and disease. Nat Rev Microbiol. 2021;19(1):55–71. doi:10.1038/s41579-020-0433-9
  • Manor O, Dai CL, Kornilov SA, et al. Health and disease markers correlate with gut microbiome composition across thousands of people. Nat Commun. 2020;11(1):5206. doi:10.1038/s41467-020-18871-1
  • Bervoets L, Van Hoorenbeeck K, Kortleven I, et al. Differences in gut microbiota compos between obese and lean children. Gut Pathog. 2013;5:10. doi:10.1186/1757-4749-5-10
  • Koliada A, Syzenko G, Moseiko V, et al. Association between body mass index and Firmicutes/Bacteroidetes ratio in an adult Ukrainian population. BMC Microbiol. 2017;17(1):120. doi:10.1186/s12866-017-1027-1
  • Yun Y, Kim HN, Kim SE, et al. Comparative analysis of gut microbiota associated with body mass index in a large Korean cohort. BMC Microbiol. 2017;17(1):151. doi:10.1186/s12866-017-1052-0
  • Bolyen E, Rideout JR, Dillon MR, et al. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat Biotechnol. 2019;37(8):852–857. doi:10.1038/s41587-019-0209-9
  • Liu C, Cui Y, Li X, Yao M. microeco: an R package for data mining in microbial community ecology. FEMS Microbiol Ecol. 2021;97:2. doi:10.1093/femsec/fiaa255
  • 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(7):581–583. doi:10.1038/nmeth.3869
  • Katoh K, Misawa K, Kuma K, Miyata T. MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform. Nucleic Acids Res. 2002;30(14):3059–3066. doi:10.1093/nar/gkf436
  • Price MN, Dehal PS, Arkin AP. FastTree 2--approximately maximum-likelihood trees for large alignments. PLoS One. 2010;5(3):e9490. doi:10.1371/journal.pone.0009490
  • Kaehler BD, Bokulich NA, McDonald D, Knight R, Caporaso JG, Huttley GA. Species abundance information improves sequence taxonomy classification accuracy. Nat Commun. 2019;10(1):4643. doi:10.1038/s41467-019-12669-6
  • Bokulich NA, Kaehler BD, Rideout JR, et al. Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin. Microbiome. 2018;6(1):90. doi:10.1186/s40168-018-0470-z
  • Douglas GM, Maffei VJ, Zaneveld JR, et al. PICRUSt2 for prediction of metagenome functions. Nat Biotechnol. 2020;38(6):685–688. doi:10.1038/s41587-020-0548-6
  • Bastian M, Heymann S, Jacomy M. Gephi: an Open Source Software for Exploring and Manipulating Networks. Int AAAI Conf Weblogs Soc Media. 2009;3(1):548.
  • Pinart M, Dotsch A, Schlicht K, et al. Gut Microbiome Composition in Obese and Non-Obese Persons: a Systematic Review and Meta-Analysis. Nutrients. 2021;14:1. doi:10.3390/nu14010012
  • Magne F, Gotteland M, Gauthier L, et al. The Firmicutes/Bacteroidetes Ratio: a Relevant Marker of Gut Dysbiosis in Obese Patients? Nutrients. 2020;12:5. doi:10.3390/nu12051474
  • Depommier C, Everard A, Druart C, et al. Supplementation with Akkermansia muciniphila in overweight and obese human volunteers: a proof-of-concept exploratory study. Nat Med. 2019;25(7):1096–1103. doi:10.1038/s41591-019-0495-2
  • Plovier H, Everard A, Druart C, et al. A purified membrane protein from Akkermansia muciniphila or the pasteurized bacterium improves metabolism in obese and diabetic mice. Nat Med. 2017;23(1):107–113. doi:10.1038/nm.4236
  • Brahe LK, Le Chatelier E, Prifti E, et al. Specific gut microbiota features and metabolic markers in postmenopausal women with obesity. Nutr Diabetes. 2015;5(6):e159–e159. doi:10.1038/nutd.2015.9
  • Cani PD, Depommier C, Derrien M, Everard A, de Vos WM. Akkermansia muciniphila: paradigm for next-generation beneficial microorganisms. Nat Rev Gastroenterol Hepatol. 2022.
  • Tett A, Pasolli E, Masetti G, Ercolini D, Segata N. Prevotella diversity, niches and interactions with the human host. Nat Rev Microbiol. 2021;19(9):585–599. doi:10.1038/s41579-021-00559-y
  • De Filippo C, Cavalieri D, Di Paola M, et al. Impact of diet in shaping gut microbiota revealed by a comparative study in children from Europe and rural Africa. Proc Natl Acad Sci U S A. 2010;107(33):14691–14696. doi:10.1073/pnas.1005963107
  • Smits SA, Leach J, Sonnenburg ED, et al. Seasonal cycling in the gut microbiome of the Hadza hunter-gatherers of Tanzania. Science. 2017;357(6353):802–806. doi:10.1126/science.aan4834
  • Yatsunenko T, Rey FE, Manary MJ, et al. Human gut microbiome viewed across age and geography. Nature. 2012;486(7402):222–227. doi:10.1038/nature11053
  • Asnicar F, Berry SE, Valdes AM, et al. Microbiome connections with host metabolism and habitual diet from 1098 deeply phenotyped individuals. Nat Med. 2021;27(2):321–332. doi:10.1038/s41591-020-01183-8
  • Rakoff-Nahoum S, Foster KR, Comstock LE. The evolution of cooperation within the gut microbiota. Nature. 2016;533(7602):255–259. doi:10.1038/nature17626
  • Horvath TD, Ihekweazu FD, Haidacher SJ, et al. Bacteroides ovatus colonization influences the abundance of intestinal short chain fatty acids and neurotransmitters. iScience. 2022;25(5):104158. doi:10.1016/j.isci.2022.104158
  • Yang C, Mogno I, Contijoch EJ, et al. Fecal IgA Levels Are Determined by Strain-Level Differences in Bacteroides ovatus and Are Modifiable by Gut Microbiota Manipulation. Cell Host Microbe. 2020;27(3):467–475 e466. doi:10.1016/j.chom.2020.01.016
  • Companys J, Gosalbes MJ, Pla-Paga L, et al. Gut Microbiota Profile and Its Association with Clinical Variables and Dietary Intake in Overweight/Obese and Lean Subjects: a Cross-Sectional Study. Nutrients. 2021;13:6. doi:10.3390/nu13062032
  • Xin FZ, Zhao ZH, Liu XL, et al. Escherichia fergusonii Promotes Nonobese Nonalcoholic Fatty Liver Disease by Interfering With Host Hepatic Lipid Metabolism Through Its Own msRNA 23487. Cell Mol Gastroenterol Hepatol. 2022;13(3):827–841. doi:10.1016/j.jcmgh.2021.12.003
  • Wang B, Yu H, He Y, et al. Effect of soybean insoluble dietary fiber on prevention of obesity in high-fat diet fed mice via regulation of the gut microbiota. Food Funct. 2021;12(17):7923–7937. doi:10.1039/D1FO00078K
  • Iebba V, Guerrieri F, Di Gregorio V, et al. Combining amplicon sequencing and metabolomics in cirrhotic patients highlights distinctive microbiota features involved in bacterial translocation, systemic inflammation and hepatic encephalopathy. Sci Rep. 2018;8(1):8210. doi:10.1038/s41598-018-26509-y
  • Loomba R, Seguritan V, Li W, et al. Gut Microbiome-Based Metagenomic Signature for Non-invasive Detection of Advanced Fibrosis in Human Nonalcoholic Fatty Liver Disease. Cell Metab. 2017;25(5):1054–1062.e1055. doi:10.1016/j.cmet.2017.04.001
  • Oh TG, Kim SM, Caussy C, et al. A Universal Gut-Microbiome-Derived Signature Predicts Cirrhosis. Cell Metab. 2020;32(5):878–888 e876. doi:10.1016/j.cmet.2020.06.005
  • Zeybel M, Arif M, Li X, et al. Multiomics Analysis Reveals the Impact of Microbiota on Host Metabolism in Hepatic Steatosis. Adv Sci. 2022;9(11):2104373. doi:10.1002/advs.202104373
  • Fetissov SO. Role of the gut microbiota in host appetite control: bacterial growth to animal feeding behaviour. Nat Rev Endocrinol. 2017;13(1):11–25. doi:10.1038/nrendo.2016.150
  • Han H, Yi B, Zhong R, et al. From gut microbiota to host appetite: gut microbiota-derived metabolites as key regulators. Microbiome. 2021;9(1):162. doi:10.1186/s40168-021-01093-y
  • Ebaid H, Bashandy SA, Alhazza IM, Rady A, El-Shehry S. Folic acid and melatonin ameliorate carbon tetrachloride-induced hepatic injury, oxidative stress and inflammation in rats. Nutr Metab. 2013;10(1):20. doi:10.1186/1743-7075-10-20
  • Ojeda ML, Rua RM, Nogales F, Díaz-Castro J, Murillo ML, Carreras O. The Benefits of Administering Folic Acid in Order to Combat the Oxidative Damage Caused by Binge Drinking in Adolescent Rats. Alcohol Alcoholism. 2016;51(3):235–241. doi:10.1093/alcalc/agv111
  • Xin FZ, Zhao ZH, Zhang RN, et al. Folic acid attenuates high-fat diet-induced steatohepatitis via deacetylase SIRT1-dependent restoration of PPARalpha. World j Gastroenterol. 2020;26(18):2203–2220. doi:10.3748/wjg.v26.i18.2203
  • Balabanova L, Averianova L, Marchenok M, Son O, Tekutyeva L. Microbial and Genetic Resources for Cobalamin (Vitamin B12) Biosynthesis: from Ecosystems to Industrial Biotechnology. Int J Mol Sci. 2021;22:9. doi:10.3390/ijms22094522
  • Li S, Li N, Wang C, et al. Gut Microbiota and Immune Modulatory Properties of Human Breast Milk Streptococcus salivarius and S. parasanguinis Strains. Front Nutr. 2022;9:798403. doi:10.3389/fnut.2022.798403
  • Kwong WK, Zheng H, Moran NA. Convergent evolution of a modified, acetate-driven TCA cycle in bacteria. Nat Microbiol. 2017;2:17067. doi:10.1038/nmicrobiol.2017.67
  • Gevrekci A. The roles of polyamines in microorganisms. World J Microbiol Biotechnol. 2017;33(11):204. doi:10.1007/s11274-017-2370-y
  • Hao S, Avraham Y, Bonne O, Berry EM. Separation-induced body weight loss, impairment in alternation behavior, and autonomic tone: effects of tyrosine. Pharmacol Biochem Behav. 2001;68(2):273–281. doi:10.1016/S0091-3057(00)00448-2
  • Liu X, Tong X, Zou Y, et al. Mendelian randomization analyses support causal relationships between blood metabolites and the gut microbiome. Nat Genet. 2022;54(1):52–61. doi:10.1038/s41588-021-00968-y
  • Zhang S, Wu P, Tian Y, et al. Gut Microbiota Serves a Predictable Outcome of Short-Term Low-Carbohydrate Diet (LCD) Intervention for Patients with Obesity. Microbiology Spectrum. 2021;9(2):e0022321. doi:10.1128/Spectrum.00223-21