Gut microbiota and diet in patients with different glucose tolerance

Endocrine Connections

Volumn 5, Issue 1, 2016, Pages 1-9

  Egshatyan, Lilit ^a   Kashtanova, Daria ^a   Popenko, Anna ^b   Tkacheva, Olga ^c   Tyakht, Alexander ^b   Alexeev, Dmitry ^b   Karamnova, Natalia ^a   Kostryukova, Elena ^a,b,d   Babenko, Vladislav ^b   Vakhitova, Maria ^a   Boytsov, Sergey ^a  

^a NATIONAL MEDICAL RESEARCH CENTER FOR THERAPY AND PREVENTIVE MEDICINE   (Russian Federation)

^b FEDERAL RESEARCH AND CLINICAL CENTER OF PHYSICAL CHEMICAL MEDICINE OF FEDERAL MEDICAL BIOLOGICAL AGENCY   (Russian Federation)

^c Russian Clinical Research Center for Gerontology   (Russian Federation)

^d MOSCOW INSTITUTE OF PHYSICS AND TECHNOLOGY   (Russian Federation)

Author keywords

16S rRNA; Dietary patterns; Gut microbiota; Impaired glucose metabolism; Insulin resistance; Type 2 diabetes

Indexed keywords

ADULT; ARTICLE; BACTEROIDES; BIFIDOBACTERIUM; BIOINFORMATICS; BLAUTIA; COMPUTER PROGRAM; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; DIET; DNA EXTRACTION; FEEDING BEHAVIOR; FEMALE; FOOD COMPOSITION; FOOD INTAKE; GLUCOSE METABOLISM; GLUCOSE TOLERANCE; HUMAN; IMPAIRED GLUCOSE TOLERANCE; INSULIN RESISTANCE; INTESTINE FLORA; MAJOR CLINICAL STUDY; MALE; METAGENOMICS; MIDDLE AGED; NON INSULIN DEPENDENT DIABETES MELLITUS; PREVOTELLA; PRIORITY JOURNAL; SEQUENCE ANALYSIS; SERRATIA; VERRUCOMICROBIA;

EID: 85011256099     PISSN: None     EISSN: 20493614     Source Type: Journal    
DOI: 10.1530/EC-15-0094     Document Type: Article

References (34)

1. Grarup N, Sandholt C, Hansen T & Pedersen O. Genetic susceptibility to type 2 diabetes and obesity: from genome-wide association studies to rare variants and beyond. Diabetologia 2014 57 1528–1541. (doi:10.1007/s00125-014-3270-4).
2. Lyssenko V, Jonsson A, Almgren P, Pulizzi N, Isomaa B, Tuomi T et al. Clinical risk factors, DNA variants, and the development of type 2 diabetes. New England Journal of Medicine 2008 359 2220–2232. (doi:10.1056/NEJMoa0801869).
3. Buse JB. Progressive use medical therapies in type 2 diabetes. Diabetes Spectrum 2000 13 211–228.
4. American Diabetes Association. Economic Costs of Diabetes in the US in 2012. Diabetes Care 2013 36 1033–1046. (doi:10.2337/dc12-2625).
5. International Diabetes Federation. Diabetes atlas. 6th edn 2013. (available from: http://www.diabetesatlas.org/).
6. Eckburg PB, Bik EM, Bernstein CN, Purdom E, Dethlefsen L, Sargent M, Gill SR, Nelson KE & Relman DA. Diversity of the human intestinal microbialflora. Science20053081635–1638. (doi:10.1126/science.1110591).
7. Qin J, Li R, Raes J, Arumugam M, Burgdorf KS, Manichanh C, Nielsen T, Pons N, Levenez F, Yamada T et al. A human gut microbial gene catalogue established by metagenomic sequencing. Nature 2010 464 59–65. (doi:10.1038/nature08821).
8. Zoetendal E, Rajilic-Stojanovic M & de Vos WM. High-throughput diversity and functionality analysis of the gastrointestinal tract microbiota. Gut 2008 57 1605–1615. (doi:10.1136/gut.2007.133603).
9. Turnbaugh PJ, Ridaura VK, Faith JJ, Rey FE, Knight R & Gordon1 JI. The effect of diet on the human gut microbiome: a metagenomic analysis in humanized gnotobiotic mice. Science Translational Medicine 2009 1 6ra14. (doi:10.1126/scitranslmed.3000322).
10. Wu GD, Chen J, Hoffmann C, Bittinger K, Chen YY, Keilbaugh SA, Bewtra M, Knights D, Walters WA, Knight R et al. Linking long-term dietary patterns with gut microbial enterotypes. Science 2011 334 105–108. (doi:10.1126/science.1208344).
11. Madeira IR, Carvalho CN, Gazolla FM, de Matos HJ, Borges MA & Bordallo MA. Cut-off point for homeostatic model assessment for insulin resistance index established from receiver operating characteristic curve in the detection of metabolic syndrome in overweight pre-pubertal children. Arquivos Brasileiros de Endocrinologia and Metabologia 2008 52 9. (doi:10.1590/S0004-27302008000900010).
12. Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, Fierer N, Pena AG, Goodrich JK, Gordon JI et al. QIIME allows analysis of high-throughput community sequencing data. Nature Methods 2010 7 335–336. (doi:10.1038/nmeth.f.303).
13. Marschner IC. glm2: fitting generalized linear models with convergence problems. R Journal 2011 3(2) 12–15. (available at: https://journal.r-project.org/archive/2011-2/RJournal_2011-2_Marschner.pdf). Lozupone C, Hamady M & Knight R. UniFrac – an online tool for comparing microbial community diversity in a phylogenetic context. BMC Bioinformatics 2006 7 371. (doi:10.1186/1471-2105-7-371).
14. Human Microbiome Project Consortium. Structure, function and diversity of the healthy human microbiome. Nature 2012 486 207–214. (doi:10.1038/nature11234).
15. Bӓckhed F, Ding H, Wang T, Hooper LV, Koh GY, Nagy A, Semenkovich CF & Gordon JI. The gut microbiota as an environmental factor that regulates fat storage. PNAS 2004 101 15718–15723.
16. Arumugam M, Raes J, Pelletier E, Le Paslier D, Yamada T, Mende DR, Fernandes GR, Tap J, Bruls T, Batto JM et al. Enterotypes of the human gut microbiome. Nature 2011 473 174–180. (doi:10.1038/nature09944).
17. Dominianni C, Sinha R, Goedert JJ, Pei Z, Yang L, Hayes RB & Ahn J. Sex, body mass index, and dietary fiber intake influence the human gut microbiome. PLoS ONE 2015 10 e0124599. (doi:10.1371/journal.pone.0124599).
18. Gavini F, Cayuela C, Antoine J-M, Lecoq C, Lefebvre B, Membreá J-M & Neuta C. Differences in the distribution of bifidobacterial and enterobacterial species in human faecal microflora of three different (children, adults, elderly) age groups. Microbial Ecology in Health and Disease 2001 13 40–45. (doi:10.1080/089106001750071690).
19. Karlsson FH, Tremaroli V, Nookaew I, Bergström G, Behre CJ, Fagerberg B, Nielsen J & Bӓckhed F. Gut metagenome in European women with normal, impaired and diabetic glucose control. Nature 2013 498 99–103. (doi:10.1038/nature12198).
20. Qin J, Li Y, Cai Z, Li S, Zhu J, Zhang F, Liang S, Zhang W, Guan Y, Shen D et al. A metagenome-wide association study of gut microbiota in type 2 diabetes. Nature 2012 490 55–60. (doi:10.1038/nature11450).
21. Le Chatelier E, Nielsen T, Qin J, Prifti E, Hildebrand F, Falony G, Almeida M, Almeida M, Arumugam M, Batto J-M et al. Richness of human gut microbiome correlates with metabolic markers. Nature 2013 500 541–546. (doi:10.1038/nature12506).
22. Liu C, Finegold SM, Song Y & Lawson PA. Reclassification of Clostridium coccoides, Ruminococcus hansenii, Ruminococcus hydrogenotrophicus, Ruminococcus luti, Ruminococcus productus and Ruminococcus schinkii as Blautia coccoides gen. nov., comb. nov., Blautia hansenii comb. nov., Blautia hydrogenotrophica comb. nov., Blautia luti comb. nov., Blautia producta comb. nov., Blautia schinkii comb. nov. and description of Blautia wexlerae sp. nov., isolated from human faeces. International Journal of Systematic and Evolutionary Microbiology 2008 58 1896–1902. (doi:10.1099/ijs.0.65208-0).
23. Tuovinen E, Keto J, Nikkilӓ J, Mӓttö J & Lӓhteenmӓki K. Cytokine response of human mononuclear cells induced by intestinal Clostridium species. Anaerobe 2013 19 70–76. (doi:10.1016/j.anaerobe.2012.11.002).
24. Barcenilla A, Pryde SE, Martin JC, Duncan SH, Stewart CS, Henderson C & Flint HJ. Phylogenetic relationships of butyrate-producing bacteria from the human gut. Applied and Environmental Microbiology 2000 66 1654–1661. (doi:10.1128/AEM.66.4.1654-1661.2000).
25. Simunek J, Brandysova V, Koppova I & Simunek J Jr. The antimicrobial action of chitosan, low molar mass chitosan, and chitooligosaccharides on human colonic bacteria. Folia Microbiologica 2012 57 341–345. (doi:10.1007/s12223-012-0138-1).
26. Larsen N, Vogensen FK, van den Berg FW, Nielsen DS, Andreasen AS, Pedersen BK, Al-Soud WA, Sørensen SJ, Hansen LH & Jakobsen M. Gut microbiota in human adults with type 2 diabetes differs from nondiabetic adults. PLoS ONE 2010 5 9085. (doi:10.1371/journal.pone.0009085).
27. Xu X, Hui H & Cai D. Differences in fecal Bifidobacterium species between patients with type 2 diabetes and healthy individuals. Nan fang yi ke da xue xue bao 2012 32 531–533, 564.
28. Stenman LK, Waget A, Garret C, Klopp P, Burcelin R & Lahtinen S. Potential probiotic Bifidobacterium animalis ssp. lactis 420 prevents weight gain and glucose intolerance in diet-induced obese mice. Beneficial Microbes 2014 5 437–445. (doi:10.3920/BM2014.0014).
29. Wei P, Yang Y, Li T, Ding Q & Sunet H. An engineered Bifidobacterium longum secreting a bioative penetratin-Glucagon-like peptide 1 fusion protein enhances Glucagon-like peptide 1 absorption in the intestine. Journal of Microbiology and Biotechnology 2015 8 603–605.
30. Belzer C & de Vos WM. Microbes inside – from diversity to function: the case of Akkermansia. ISME Journal 2012 6 1449–1458. (doi:10.1038/ismej.2012.6).
31. Turnbaugh P, Bӓckhed F, Fulton L & Gordon J. Diet induced obesity is linked to marked but reversible alterations in the mouse distal gut microbiome. Cell Host and Microbe 2008 3 213–223. (doi:10.1016/j.chom.2008.02.015).
32. Rampelli S, Candela M, Turroni S, Biagi E, Collino S, Franceschi C, O’Toole PW & Brigidi P. Functional metagenomic profiling of intestinal microbiome in extreme ageing. Aging 2013 5 902–912.
33. Jeffery IB & O’Toole PW. Diet-microbiota interactions and their implications for healthy living. Nutrients 2013 17 234–252. (doi:10.3390/nu5010234).
34. Durban A, Abellan JJ, Latorre A & Moya A. Effect of dietary carbohydrate restriction on an obesity-related prevotella-dominated human fecal microbiota. Ashdin Publishing Metagenomics 2013 2 4.