The intestinal microbiota and obesity
Abstract
Obesity has been and continues to be an epidemic in the United States. Obesity has been addressed in multiple health initiatives, including Healthy People 2010, with no state meeting the proposed goal of a prevalence of obesity < 15% of the adult population. In contrast, obesity rates have continued to increase, with the self-reported prevalence of obesity among adults increasing by 1.1% from 2007 to the present. Indeed, since 2009, 33 states reported obesity prevalences of 25% or more with only 1 state reporting prevalence < 20%. There have been multiple approaches for the treatment of obesity, including fad diets, incentive-based exercise programs, and gastric bypass surgery; none of which have been optimal. In a murine model, it was shown that the majority of the intestinal microbiome consists of two bacterial phyla, the Bacteroidetes and the Firmicutes, and that the relative abundance of these two phyla differs among lean and obese mice; the obese mouse had a higher proportion of Firmicutes to Bacteroidetes (50% greater) than the lean mouse. The same results were appreciated in obese humans compared to lean subjects. The postulated explanation for this finding is that Firmicutes produce more complete metabolism of a given energy source than do Bacteroidetes, thus promoting more efficient absorption of calories and subsequent weight gain. Researchers were able to demonstrate that colonizing germ-free mice with the intestinal microbiome from obese mice led to an increased total body fat in the recipient mice despite a lack of change in diet. The converse, that, colonizing germ-free obese mice with the intestinal microbiome of thin mice causing a decreased total body fat in the recipient mice, has not yet been done. Other possible mechanisms by which the intestinal microbiome affects host obesity include induction of low-grade inflammation with lipopolysaccharide, regulation of host genes responsible for energy expenditure and storage, and hormonal communication between the intestinal microbiome and the host. The following review discusses the microbiome-obesity relationship and proposed mechanisms by which the intestinal microbiota is hypothesized to influence weight gain.
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The microbiome of obese individuals is capable of extracting more energy from the host diet compared with the microbiome of lean individuals.
“The majority of women with PCOS are overweight or obese and evidence indicates that the microbiome of obese individuals is capable of extracting more energy from the host diet compared with the microbiome of lean individuals [132].”
From Polycystic Ovary Syndrome: An Evolutionary Adaptation to Lifestyle and the Environment (2022) · cites this paper as [132]
Cites
Obesity is associated with macrophage accumulation in adipose tissue
Weisberg, S. P., McCann, D., Desai, M., Rosenbaum, M., Leibel, R. L., & Ferrante, A. W. (2003) · Journal of Clinical Investigation · doi:10.1172/jci200319246 · Cited by 10,041 · see citing works
The gut microbiota shapes intestinal immune responses during health and disease
Round, J. L., & Mazmanian, S. K. (2009) · Nature Reviews Immunology · doi:10.1038/nri2515 · Cited by 5,029 · see citing works
Cani, P. D., Bibiloni, R., Knauf, C., Waget, A., Neyrinck, A. M., Delzenne, N. M., & Burcelin, R. (2008) · Diabetes · doi:10.2337/db07-1403 · Cited by 4,819 · see citing works
Inflammation, stress, and diabetes
Wellen, K. E., & Hotamisligil, G. S. (2005) · Journal of Clinical Investigation · doi:10.1172/jci25102 · Cited by 4,143 · see citing works
The Effect of Diet on the Human Gut Microbiome: A Metagenomic Analysis in Humanized Gnotobiotic Mice
Turnbaugh, P. J., Ridaura, V. K., Faith, J. J., Rey, F. E., Knight, R., & Gordon, J. I. (2009) · Science Translational Medicine · doi:10.1126/scitranslmed.3000322 · Cited by 3,058 · see citing works
The gut flora as a forgotten organ
O'Hara, A. M., & Shanahan, F. (2006) · The EMBO Reports · doi:10.1038/sj.embor.7400731 · Cited by 2,791 · see citing works
Mechanisms underlying the resistance to diet-induced obesity in germ-free mice
Bäckhed, F., Manchester, J. K., Semenkovich, C. F., & Gordon, J. I. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0605374104 · Cited by 2,615 · see citing works
Microbiota and SCFA in lean and overweight healthy subjects
Schwiertz, A., Taras, D., Schäfer, K., Beijer, S., Bos, N. A., Donus, C., & Hardt, P. D. (2010) · Obesity · doi:10.1038/oby.2009.167 · Cited by 2,457 · see citing works
Molecular Analysis of Commensal Host-Microbial Relationships in the Intestine
Hooper, L. V., Wong, M. H., Thelin, A., Hansson, L., Falk, P. G., & Gordon, J. I. (2001) · Science · doi:10.1126/science.291.5505.881 · Cited by 2,202 · see citing works
Samuel, B. S., Shaito, A., Motoike, T., Rey, F. E., Backhed, F., Manchester, J. K., Hammer, R. E., Williams, S. C., Crowley, J., Yanagisawa, M., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0808567105 · Cited by 1,564 · see citing works
Nutrient sensing and inflammation in metabolic diseases
Hotamisligil, G. S., & Erbay, E. (2008) · Nature Reviews Immunology · doi:10.1038/nri2449 · Cited by 1,040 · see citing works
Stark, P. L., & Lee, A. (1982) · Journal of Medical Microbiology · doi:10.1099/00222615-15-2-189 · Cited by 616 · see citing works
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Minireview: Gut microbiota: The neglected endocrine organ
Clarke, G., Stilling, R. M., Kennedy, P. J., Stanton, C., Cryan, J. F., & Dinan, T. G. (2014) · Molecular Endocrinology · doi:10.1210/me.2014-1108 · Cited by 1,192 · see citing works
Feeding the microbiota–gut–brain axis: Diet, microbiome, and neuropsychiatry
Sandhu, K. V., Sherwin, E., Schellekens, H., Stanton, C., Dinan, T. G., & Cryan, J. F. (2017) · Translational Research · doi:10.1016/j.trsl.2016.10.002 · Cited by 491 · see citing works
Dietary effects on human gut microbiome diversity
Xu, Z., & Knight, R. (2015) · British Journal Of Nutrition · doi:10.1017/s0007114514004127 · Cited by 456 · see citing works
The Human Gut Microbiome and Body Metabolism: Implications for Obesity and Diabetes
Devaraj, S., Hemarajata, P., & Versalovic, J. (2013) · Clinical Chemistry · doi:10.1373/clinchem.2012.187617 · Cited by 321 · see citing works
Lee, D. M., Battson, M. L., Jarrell, D. K., Hou, S., Ecton, K. E., Weir, T. L., & Gentile, C. L. (2018) · Cardiovascular Diabetology · doi:10.1186/s12933-018-0708-x · Cited by 246 · see citing works
Ringel-Kulka, T., Cheng, J., Ringel, Y., Salojärvi, J., Carroll, I., Palva, A., de Vos, W. M., & Satokari, R. (2013) · PLoS ONE · doi:10.1371/journal.pone.0064315 · Cited by 230 · see citing works
Seganfredo, F. B., Blume, C. A., Moehlecke, M., Giongo, A., Casagrande, D. S., Spolidoro, J. V. N., Padoin, A. V., Schaan, B. D., & Mottin, C. C. (2017) · Obesity Reviews · doi:10.1111/obr.12541 · Cited by 228 · see citing works
Scheepers, L. E. J. M., Penders, J., Mbakwa, C. A., Thijs, C., Mommers, M., & Arts, I. C. W. (2015) · International Journal of Obesity · doi:10.1038/ijo.2014.178 · Cited by 162 · see citing works
Microbial Reprogramming Inhibits Western Diet-Associated Obesity
Poutahidis, T., Kleinewietfeld, M., Smillie, C., Levkovich, T., Perrotta, A., Bhela, S., Varian, B. J., Ibrahim, Y. M., Lakritz, J. R., Kearney, S. M., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068596 · Cited by 164 · see citing works
Luisi, M. L. E., Lucarini, L., Biffi, B., Rafanelli, E., Pietramellara, G., Durante, M., Vidali, S., Provensi, G., Madiai, S., Gheri, C. F., et al. (2019) · Frontiers in Pharmacology · doi:10.3389/fphar.2019.01366 · Cited by 115 · see citing works
Polycystic Ovary Syndrome: An Evolutionary Adaptation to Lifestyle and the Environment
Parker, J., O’Brien, C., Hawrelak, J., & Gersh, F. L. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19031336 · Cited by 114 · see citing works
Polycystic Ovary Syndrome: An Evolutionary Adaptation to Lifestyle and the Environment
parker, J., O'Brien, C., Hawrelak, J., & Gersh, F. (2021) · doi:10.20944/preprints202112.0088.v1 · Cited by 113 · see citing works
The financial costs, behaviour and psychology of obesity: A one health analysis
Bomberg, E., Birch, L., Endenburg, N., German, A. J., Neilson, J., Seligman, H., Takashima, G., & Day, M. J. (2017) · Journal of Comparative Pathology · doi:10.1016/j.jcpa.2017.03.007 · Cited by 71 · see citing works
- Authors
- Kallus, S. J., & Brandt, L. J.
- Affiliations
- Georgetown University (US)
- Albert Einstein College of Medicine (US)
- Corresponding author
- Kallus, Samuel J.
- Venue
- Journal of Clinical Gastroenterology
- Published
- 2012-01
- Volume
- 46
- Issue
- 1
- Pages
- 16-24
- ISSN
- 0192-0790 (ISSN-L)
- OpenAlex
- W2045458218
- Cited by
- 210
- References
- 12
- Citations by year
- 2026: 5 · 2025: 2 · 2024: 12 · 2023: 9 · 2022: 20 · 2021: 27 · 2020: 16 · 2019: 15 · 2018: 16 · 2017: 18 · 2016: 19 · 2015: 19 · 2014: 12 · 2013: 14 · 2012: 6
- FWCI
- 0.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Clinical Gastroenterology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Regulation of Appetite and Obesity
- Keywords
- gut microbiota, obesity, Firmicutes, Bacteroidetes, germ-free mice, microbial colonization, low-grade inflammation, lipopolysaccharide, energy metabolism, host-microbe communication, obesity prevalence
- MeSH terms
- Adipose Tissue, Adult, Animals, Humans, Intestines, Obesity, United States, Weight Gain, Mice, Metagenome
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