Correlation between body mass index and gut concentrations of Lactobacillus reuteri, Bifidobacterium animalis, Methanobrevibacter smithii and Escherichia coli - PubMed (original) (raw)
Comparative Study
. 2013 Nov;37(11):1460-6.
doi: 10.1038/ijo.2013.20. Epub 2013 Mar 5.
Affiliations
- PMID: 23459324
- PMCID: PMC3826031
- DOI: 10.1038/ijo.2013.20
Free PMC article
Comparative Study
Correlation between body mass index and gut concentrations of Lactobacillus reuteri, Bifidobacterium animalis, Methanobrevibacter smithii and Escherichia coli
M Million et al. Int J Obes (Lond). 2013 Nov.
Free PMC article
Retraction in
- Retraction Note: Correlation between body mass index and gut concentrations of Lactobacillus reuteri, Bifidobacterium animalis, Methanobrevibacter smithii and Escherichia coli.
Million M, Angelakis E, Maraninchi M, Henry M, Giorgi R, Valero R, Vialettes B, Raoult D. Million M, et al. Int J Obes (Lond). 2024 Sep;48(9):1356. doi: 10.1038/s41366-024-01557-9. Int J Obes (Lond). 2024. PMID: 38906956 No abstract available.
Abstract
Background: Genus and species level analysis is the best way to characterize alterations in the human gut microbiota that are associated with obesity, because the clustering of obese and lean microbiotas increases with the taxonomic depth of the analysis. Bifidobacterium genus members have been associated with a lean status, whereas different Lactobacillus species are associated both with a lean and an obese status.
Objectives and methods: We analyzed the fecal concentrations of Bacteroidetes, Firmicutes, Methanobrevibacter smithii, the genus Lactobacillus, five other Lactobacillus species previously linked with lean or obese populations, Escherichia coli and Bifidobacterium animalis in 263 individuals, including 134 obese, 38 overweight, 76 lean and 15 anorexic subjects to test for the correlation between bacterial concentration and body mass index (BMI). Of these subjects, 137 were used in our previous study.
Findings: Firmicutes were found in >98.5%, Bacteroidetes in 67%, M. smithii in 64%, E. coli in 51%, Lactobacillus species between 17 and 25% and B. animalis in 11% of individuals. The fecal concentration of Lactobacillus reuteri was positively correlated with BMI (coefficient=0.85; 95% confidence interval (CI) 0.12-0.58; P=0.02) in agreement with what was reported for Lactobacillus sakei. As reported, B. animalis (coefficient=-0.84; 95% CI -1.61 to -0.07; P=0.03) and M. smithii (coefficient=-0.43, 95% CI -0.90 to 0.05; P=0.08) were negatively associated with the BMI. Unexpectedly, E. coli was found here for the first time to negatively correlate with the BMI (coefficient=-1.05; 95% CI -1.60 to -0.50; P<0.001).
Conclusion: Our findings confirm the specificity of the obese microbiota and emphasize the correlation between the concentration of certain Lactobacillus species and obesity.
Figures
Figure 1
Primary component analysis associating the gut microbial phylum and species to the BMI. Principal component analysis, including (a) BMI and phylum or (b) species found in the gut microbiota (Lactobacillus acidophilus was not included because it was not found by our quantitative PCR system). The preliminary analyses shown in this figure were performed on the whole population.
Figure 2
Scatter plots at the phylum and genus levels. Methanobrevibacter smithii is considered to be the leading representative of the Euryarchaeota phylum. *P<0.05, **P<0.005. The medians and the interquartile ranges are shown.
Figure 3
Scatter plots at the species level. *P<0.05, **P<0.005. The medians and the interquartile ranges are shown.
Figure 4
Correlation between the BMI and specific bacterial clades. Plots represent analyses performed only on the carriers for each bacterial clade studied. Spearman correlation test: _Methanobrevibacter smithii r_=−0.20, _P_=0.01. _Lactobacillus reuteri r_=0.44, _P_=0.004. No correlation was found in the patients positive for E. coli (_P_=0.80) or Bifidobacterium animalis (_P_=0.99).
Similar articles
- Obesity-associated gut microbiota is enriched in Lactobacillus reuteri and depleted in Bifidobacterium animalis and Methanobrevibacter smithii.
Million M, Maraninchi M, Henry M, Armougom F, Richet H, Carrieri P, Valero R, Raccah D, Vialettes B, Raoult D. Million M, et al. Int J Obes (Lond). 2012 Jun;36(6):817-25. doi: 10.1038/ijo.2011.153. Epub 2011 Aug 9. Int J Obes (Lond). 2012. PMID: 21829158 Free PMC article. Retracted. - Monitoring bacterial community of human gut microbiota reveals an increase in Lactobacillus in obese patients and Methanogens in anorexic patients.
Armougom F, Henry M, Vialettes B, Raccah D, Raoult D. Armougom F, et al. PLoS One. 2009 Sep 23;4(9):e7125. doi: 10.1371/journal.pone.0007125. PLoS One. 2009. PMID: 19774074 Free PMC article. - Lactobacillus reuteri and Escherichia coli in the human gut microbiota may predict weight gain associated with vancomycin treatment.
Million M, Thuny F, Angelakis E, Casalta JP, Giorgi R, Habib G, Raoult D. Million M, et al. Nutr Diabetes. 2013 Sep 9;3(9):e87. doi: 10.1038/nutd.2013.28. Nutr Diabetes. 2013. PMID: 24018615 Free PMC article. - Correlation between body mass index and faecal microbiota from children.
Ignacio A, Fernandes MR, Rodrigues VA, Groppo FC, Cardoso AL, Avila-Campos MJ, Nakano V. Ignacio A, et al. Clin Microbiol Infect. 2016 Mar;22(3):258.e1-8. doi: 10.1016/j.cmi.2015.10.031. Epub 2015 Nov 10. Clin Microbiol Infect. 2016. PMID: 26551842 - Profile of the gut microbiota of adults with obesity: a systematic review.
Crovesy L, Masterson D, Rosado EL. Crovesy L, et al. Eur J Clin Nutr. 2020 Sep;74(9):1251-1262. doi: 10.1038/s41430-020-0607-6. Epub 2020 Mar 30. Eur J Clin Nutr. 2020. PMID: 32231226 Review.
Cited by
- Retraction: Development and Validation of a Microarray for the Investigation of the CAZymes Encoded by the Human Gut Microbiome.
PLOS ONE Editors. PLOS ONE Editors. PLoS One. 2024 Oct 14;19(10):e0312333. doi: 10.1371/journal.pone.0312333. eCollection 2024. PLoS One. 2024. PMID: 39401237 Free PMC article. No abstract available. - Relationship of Genetic Polymorphisms and Microbial Composition with Binge Eating Disorder: A Systematic Review.
Monserrat Hernández M, Jiménez-Rodríguez D. Monserrat Hernández M, et al. Healthcare (Basel). 2024 Jul 19;12(14):1441. doi: 10.3390/healthcare12141441. Healthcare (Basel). 2024. PMID: 39057584 Free PMC article. Review. - Unraveling the Microbiome-Human Body Axis: A Comprehensive Examination of Therapeutic Strategies, Interactions and Implications.
Olteanu G, Ciucă-Pană MA, Busnatu ȘS, Lupuliasa D, Neacșu SM, Mititelu M, Musuc AM, Ioniță-Mîndrican CB, Boroghină SC. Olteanu G, et al. Int J Mol Sci. 2024 May 20;25(10):5561. doi: 10.3390/ijms25105561. Int J Mol Sci. 2024. PMID: 38791599 Free PMC article. Review. - Relationships between Habitual Polyphenol Consumption and Gut Microbiota in the INCLD Health Cohort.
Vita AA, Roberts KM, Gundersen A, Farris Y, Zwickey H, Bradley R, Weir TL. Vita AA, et al. Nutrients. 2024 Mar 8;16(6):773. doi: 10.3390/nu16060773. Nutrients. 2024. PMID: 38542685 Free PMC article. - Exploring the Dynamic Relationship between the Gut Microbiome and Body Composition across the Human Lifespan: A Systematic Review.
Komodromou I, Andreou E, Vlahoyiannis A, Christofidou M, Felekkis K, Pieri M, Giannaki CD. Komodromou I, et al. Nutrients. 2024 Feb 26;16(5):660. doi: 10.3390/nu16050660. Nutrients. 2024. PMID: 38474787 Free PMC article.
References
- WHO Expert Consultation Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet. 2004;363:157–163. - PubMed
- Yanovski SZ, Yanovski JA. Obesity. N Engl J Med. 2002;346:591–602. - PubMed
- Ley RE, Turnbaugh PJ, Klein S, Gordon JI. Microbial ecology: human gut microbes associated with obesity. Nature. 2006;444:1022–1023. - PubMed
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
Research Materials