Statin therapy is associated with lower prevalence of gut microbiota dysbiosis.
Bacteroides
/ isolation & purification
Cohort Studies
Cross-Sectional Studies
Dysbiosis
/ epidemiology
Faecalibacterium
/ isolation & purification
Feces
/ microbiology
Female
Gastrointestinal Microbiome
/ drug effects
Humans
Hydroxymethylglutaryl-CoA Reductase Inhibitors
/ administration & dosage
Inflammatory Bowel Diseases
/ microbiology
Male
Obesity
/ microbiology
Prevalence
Journal
Nature
ISSN: 1476-4687
Titre abrégé: Nature
Pays: England
ID NLM: 0410462
Informations de publication
Date de publication:
05 2020
05 2020
Historique:
received:
05
08
2019
accepted:
03
04
2020
pubmed:
21
5
2020
medline:
1
7
2020
entrez:
21
5
2020
Statut:
ppublish
Résumé
Microbiome community typing analyses have recently identified the Bacteroides2 (Bact2) enterotype, an intestinal microbiota configuration that is associated with systemic inflammation and has a high prevalence in loose stools in humans
Identifiants
pubmed: 32433607
doi: 10.1038/s41586-020-2269-x
pii: 10.1038/s41586-020-2269-x
doi:
Substances chimiques
Hydroxymethylglutaryl-CoA Reductase Inhibitors
0
Types de publication
Journal Article
Observational Study
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
310-315Investigateurs
Renato Alves
(R)
Chloe Amouyal
(C)
Ehm Astrid Andersson Galijatovic
(EAA)
Olivier Barthelemy
(O)
Jean-Paul Batisse
(JP)
Magalie Berland
(M)
Randa Bittar
(R)
Hervé Blottière
(H)
Frederic Bosquet
(F)
Rachid Boubrit
(R)
Olivier Bourron
(O)
Mickael Camus
(M)
Dominique Cassuto
(D)
Cecile Ciangura
(C)
Jean-Philippe Collet
(JP)
Maria-Carlota Dao
(MC)
Jean Debedat
(J)
Morad Djebbar
(M)
Angélique Doré
(A)
Line Engelbrechtsen
(L)
Soraya Fellahi
(S)
Sebastien Fromentin
(S)
Philippe Giral
(P)
Marianne Graine
(M)
Agnes Hartemann
(A)
Bolette Hartmann
(B)
Gerard Helft
(G)
Serge Hercberg
(S)
Malene Hornbak
(M)
Richard Isnard
(R)
Sophie Jaqueminet
(S)
Niklas Rye Jørgensen
(NR)
Hanna Julienne
(H)
Johanne Justesen
(J)
Judith Kammer
(J)
Mathieu Kerneis
(M)
Jean Khemis
(J)
Nikolaj Krarup
(N)
Michael Kuhn
(M)
Aurélie Lampuré
(A)
Véronique Lejard
(V)
Florence Levenez
(F)
Lea Lucas-Martini
(L)
Robin Massey
(R)
Nicolas Maziers
(N)
Jonathan Medina-Stamminger
(J)
Lucas Moitinho-Silva
(L)
Gilles Montalescot
(G)
Sandrine Moutel
(S)
Laetitia Pasero Le Pavin
(LP)
Christine Poitou-Bernert
(C)
Francoise Pousset
(F)
Laurence Pouzoulet
(L)
Sebastian Schmidt
(S)
Johanne Silvain
(J)
Mathilde Svendstrup
(M)
Timothy Swartz
(T)
Thierry Vanduyvenboden
(T)
Camille Vatier
(C)
Eric Verger
(E)
Stefanie Walther
(S)
Commentaires et corrections
Type : CommentIn
Type : CommentIn
Type : CommentIn
Références
Vandeputte, D. et al. Quantitative microbiome profiling links gut community variation to microbial load. Nature 551, 507–511 (2017).
pubmed: 29143816
Vieira-Silva, S. et al. Quantitative microbiome profiling disentangles inflammation- and bile duct obstruction-associated microbiota alterations across PSC/IBD diagnoses. Nat. Microbiol. 4, 1826–1831 (2019).
pubmed: 31209308
Probert, C. S., Emmett, P. M. & Heaton, K. W. Some determinants of whole-gut transit time: a population-based study. QJM 88, 311–315 (1995).
pubmed: 7796084
Ford, E. S. Body mass index, diabetes, and C-reactive protein among U.S. adults. Diabetes Care 22, 1971–1977 (1999).
pubmed: 10587828
Turnbaugh, P. J. et al. An obesity-associated gut microbiome with increased capacity for energy harvest. Nature 444, 1027–1031 (2006).
pubmed: 17183312
Sze, M. A. & Schloss, P. D. Looking for a signal in the noise: revisiting obesity and the microbiome. MBio 7, e01018-16 (2016).
pubmed: 27555308
pmcid: 4999546
Walters, W. A., Xu, Z. & Knight, R. Meta-analyses of human gut microbes associated with obesity and IBD. FEBS Lett. 588, 4223–4233 (2014).
pubmed: 25307765
pmcid: 5050012
Le Chatelier, E. et al. Richness of human gut microbiome correlates with metabolic markers. Nature 500, 541–546 (2013).
pubmed: 23985870
Karlsson, F. H. et al. Symptomatic atherosclerosis is associated with an altered gut metagenome. Nat. Commun. 3, 1245 (2012).
pubmed: 23212374
pmcid: 3538954
Falony, G. et al. Population-level analysis of gut microbiome variation. Science 352, 560–564 (2016).
pubmed: 27126039
Vieira-Silva, S. et al. Species-function relationships shape ecological properties of the human gut microbiome. Nat. Microbiol. 1, 16088 (2016).
pubmed: 27573110
Alberti, K. G. M. M., Zimmet, P. & Shaw, J. Metabolic syndrome—a new world-wide definition. A consensus statement from the International Diabetes Federation. Diabet. Med. 23, 469–480 (2006).
pubmed: 16681555
Depommier, C. et al. Supplementation with Akkermansia muciniphila in overweight and obese human volunteers: a proof-of-concept exploratory study. Nat. Med. 25, 1096–1103 (2019).
pubmed: 31263284
pmcid: 6699990
Yun, Y. et al. Comparative analysis of gut microbiota associated with body mass index in a large Korean cohort. BMC Microbiol. 17, 151 (2017).
pubmed: 28676106
pmcid: 5497371
Quévrain, E. et al. Identification of an anti-inflammatory protein from Faecalibacterium prausnitzii, a commensal bacterium deficient in Crohn’s disease. Gut 65, 415–425 (2016).
pubmed: 26045134
Louis, P. et al. Restricted distribution of the butyrate kinase pathway among butyrate-producing bacteria from the human colon. J. Bacteriol. 186, 2099–2106 (2004).
pubmed: 15028695
pmcid: 374397
Litvak, Y., Byndloss, M. X. & Bäumler, A. J. Colonocyte metabolism shapes the gut microbiota. Science 362, eaat9076 (2018).
pubmed: 30498100
pmcid: 6296223
Kriss, M., Hazleton, K. Z., Nusbacher, N. M., Martin, C. G. & Lozupone, C. A. Low diversity gut microbiota dysbiosis: drivers, functional implications and recovery. Curr. Opin. Microbiol. 44, 34–40 (2018).
pubmed: 30036705
pmcid: 6435260
Ding, T. & Schloss, P. D. Dynamics and associations of microbial community types across the human body. Nature 509, 357–360 (2014).
pubmed: 24739969
pmcid: 4139711
Gardiner, B. J. et al. Clinical and microbiological characteristics of Eggerthella lenta bacteremia. J. Clin. Microbiol. 53, 626–635 (2015).
pubmed: 25520446
pmcid: 4298500
Mazmanian, S. K., Liu, C. H., Tzianabos, A. O. & Kasper, D. L. An immunomodulatory molecule of symbiotic bacteria directs maturation of the host immune system. Cell 122, 107–118 (2005).
Wexler, H. M. Bacteroides: the good, the bad, and the nitty-gritty. Clin. Microbiol. Rev. 20, 593–621 (2007).
pubmed: 17934076
pmcid: 2176045
Ridker, P. M. et al. Reduction in C-reactive protein and LDL cholesterol and cardiovascular event rates after initiation of rosuvastatin: a prospective study of the JUPITER trial. Lancet 373, 1175–1182 (2009).
pubmed: 19329177
Muscogiuri, G. et al. The good and bad effects of statins on insulin sensitivity and secretion. Endocr. Res. 39, 137–143 (2014).
pubmed: 25208056
Khan, T. J. et al. Effect of atorvastatin on the gut microbiota of high fat diet-induced hypercholesterolemic rats. Sci. Rep. 8, 662 (2018).
pubmed: 29330433
pmcid: 5766553
Maier, L. et al. Extensive impact of non-antibiotic drugs on human gut bacteria. Nature 555, 623–628 (2018).
pubmed: 29555994
pmcid: 6108420
Forslund, K. et al. Disentangling type 2 diabetes and metformin treatment signatures in the human gut microbiota. Nature 528, 262–266 (2015).
pubmed: 26633628
pmcid: 4681099
Zeiser, R. Immune modulatory effects of statins. Immunology 154, 69–75 (2018).
pubmed: 29392731
pmcid: 5904709
Grip, O., Janciauskiene, S. & Bredberg, A. Use of atorvastatin as an anti-inflammatory treatment in Crohn’s disease. Br. J. Pharmacol. 155, 1085–1092 (2008).
pubmed: 18806816
pmcid: 2597264
Ungaro, R. et al. Statins associated with decreased risk of new onset inflammatory bowel disease. Am. J. Gastroenterol. 111, 1416–1423 (2016).
pubmed: 27296939
Valles-Colomer, M. et al. The neuroactive potential of the human gut microbiota in quality of life and depression. Nat. Microbiol. 4, 623–632 (2019).
pubmed: 30718848
Touch, S. et al. Mucosal-associated invariant T (MAIT) cells are depleted and prone to apoptosis in cardiometabolic disorders. FASEB J. 32, 5078–5089 (2018).
Criscuolo, A. & Brisse, S. AlienTrimmer: a tool to quickly and accurately trim off multiple short contaminant sequences from high-throughput sequencing reads. Genomics 102, 500–506 (2013).
pubmed: 23912058
Li, J. et al. An integrated catalog of reference genes in the human gut microbiome. Nat. Biotechnol. 32, 834–841 (2014).
pubmed: 24997786
Cotillard, A. et al. Dietary intervention impact on gut microbial gene richness. Nature 500, 585–588 (2013).
pubmed: 23985875
Prifti, E. & Le Chatelier, E. MetaOMineR: a quantitative metagenomics data analyses pipeline. R package v.1.1 (2015).
Kultima, J. R. et al. MOCAT2: a metagenomic assembly, annotation and profiling framework. Bioinformatics 32, 2520–2523 (2016).
pubmed: 27153620
pmcid: 4978931
Nielsen, H. B. et al. Identification and assembly of genomes and genetic elements in complex metagenomic samples without using reference genomes. Nat. Biotechnol. 32, 822–828 (2014).
pubmed: 24997787
Prest, E. I., Hammes, F., Kötzsch, S., van Loosdrecht, M. C. M. & Vrouwenvelder, J. S. Monitoring microbiological changes in drinking water systems using a fast and reproducible flow cytometric method. Water Res. 47, 7131–7142 (2013).
pubmed: 24183559
Kultima, J. R. et al. MOCAT: a metagenomics assembly and gene prediction toolkit. PLoS ONE 7, e47656 (2012).
pubmed: 23082188
pmcid: 3474746
Falony, G., Vieira-Silva, S. & Raes, J. Microbiology meets big data: the case of gut microbiota-derived trimethylamine. Annu. Rev. Microbiol. 69, 305–321 (2015).
pubmed: 26274026
Darzi, Y., Falony, G., Vieira-Silva, S. & Raes, J. Towards biome-specific analysis of meta-omics data. ISME J. 10, 1025–1028 (2016).
pubmed: 26623543
Oksanen, J. et al. vegan: Community Ecology Package. R package v.2.2-1 (2015).
McMurdie, P. J. & Holmes, S. phyloseq: an R package for reproducible interactive analysis and graphics of microbiome census data. PLoS ONE 8, e61217 (2013).
pubmed: 23630581
pmcid: 3632530
Ogle, D. H. FSA: Fisheries Stock Analysis. R package v.0.8.13. (2017).
Hothorn, T., Hornik, K., van de Wiel, M. A. & Zeileis, A. A Lego system for conditional inference. Am. Stat. 60, 257–263 (2006).
Morgan, M. DirichletMultinomial: Dirichlet-multinomial mixture model machine learning for microbiome data. R package v.1.18.0 (2017).
Harrell, F. E. Hmisc: Harrell Miscellaneous. R package v.4.1-1 (2018).
Fox, J. & Weisberg, S. An R Companion to Applied Regression. (Sage, 2011).
Lüdecke, D. sjstats: Statistical Functions for Regression Models v.0.17.5 (2019).
Venables, W. N. & Ripley, B. D. Modern Applied Statistics with S. (Springer, 2002).
Holmes, I., Harris, K. & Quince, C. Dirichlet multinomial mixtures: generative models for microbial metagenomics. PLoS ONE 7, e30126 (2012).
pubmed: 22319561
pmcid: 3272020
Duvallet, C., Gibbons, S. M., Gurry, T., Irizarry, R. A. & Alm, E. J. Meta-analysis of gut microbiome studies identifies disease-specific and shared responses. Nat. Commun. 8, 1784 (2017).
pubmed: 29209090
pmcid: 5716994
Grant, R. L. Converting an odds ratio to a range of plausible relative risks for better communication of research findings. Br. Med. J. 348, f7450 (2014).