» Articles » PMID: 24009397

Gut Microbiota from Twins Discordant for Obesity Modulate Metabolism in Mice

Abstract

The role of specific gut microbes in shaping body composition remains unclear. We transplanted fecal microbiota from adult female twin pairs discordant for obesity into germ-free mice fed low-fat mouse chow, as well as diets representing different levels of saturated fat and fruit and vegetable consumption typical of the U.S. diet. Increased total body and fat mass, as well as obesity-associated metabolic phenotypes, were transmissible with uncultured fecal communities and with their corresponding fecal bacterial culture collections. Cohousing mice harboring an obese twin's microbiota (Ob) with mice containing the lean co-twin's microbiota (Ln) prevented the development of increased body mass and obesity-associated metabolic phenotypes in Ob cage mates. Rescue correlated with invasion of specific members of Bacteroidetes from the Ln microbiota into Ob microbiota and was diet-dependent. These findings reveal transmissible, rapid, and modifiable effects of diet-by-microbiota interactions.

Citing Articles

Human gut microbial aromatic amino acid and related metabolites prevent obesity through intestinal immune control.

Jiang Z, He L, Li D, Zhuo L, Chen L, Shi R Nat Metab. 2025; .

PMID: 40087408 DOI: 10.1038/s42255-025-01246-5.


Upper and lower airway microbiota across infancy and childhood.

Hernandez-Leyva A, Rosen A, Tomera C, Lin E, Akaho E, Blatz A Pediatr Res. 2025; .

PMID: 40075175 DOI: 10.1038/s41390-025-03942-0.


Gut microbiota as a new target for anticancer therapy: from mechanism to means of regulation.

Sun J, Song S, Liu J, Chen F, Li X, Wu G NPJ Biofilms Microbiomes. 2025; 11(1):43.

PMID: 40069181 PMC: 11897378. DOI: 10.1038/s41522-025-00678-x.


Differential effects of high-fat diet on salivary and gut microbiota.

Bai J, Tian Y, Lu Y, Chen Y, Yu M, Gao X Front Cell Infect Microbiol. 2025; 15:1547555.

PMID: 40066066 PMC: 11891374. DOI: 10.3389/fcimb.2025.1547555.


Using gut microbiome metagenomic hypervariable features for diabetes screening and typing through supervised machine learning.

Chavarria X, Park H, Oh S, Kang D, Choi J, Kim M Microb Genom. 2025; 11(3).

PMID: 40063675 PMC: 11893737. DOI: 10.1099/mgen.0.001365.


References
1.
Kuczynski J, Costello E, Nemergut D, Zaneveld J, Lauber C, Knights D . Direct sequencing of the human microbiome readily reveals community differences. Genome Biol. 2010; 11(5):210. PMC: 2898070. DOI: 10.1186/gb-2010-11-5-210. View

2.
Benhamed F, Denechaud P, Lemoine M, Robichon C, Moldes M, Bertrand-Michel J . The lipogenic transcription factor ChREBP dissociates hepatic steatosis from insulin resistance in mice and humans. J Clin Invest. 2012; 122(6):2176-94. PMC: 3366390. DOI: 10.1172/JCI41636. View

3.
Zhou J, Martin R, Tulley R, Raggio A, McCutcheon K, Shen L . Dietary resistant starch upregulates total GLP-1 and PYY in a sustained day-long manner through fermentation in rodents. Am J Physiol Endocrinol Metab. 2008; 295(5):E1160-6. PMC: 2584810. DOI: 10.1152/ajpendo.90637.2008. View

4.
Horner-Devine M, Bohannan B . Phylogenetic clustering and overdispersion in bacterial communities. Ecology. 2006; 87(7 Suppl):S100-8. DOI: 10.1890/0012-9658(2006)87[100:pcaoib]2.0.co;2. View

5.
Koves T, Ussher J, Noland R, Slentz D, Mosedale M, Ilkayeva O . Mitochondrial overload and incomplete fatty acid oxidation contribute to skeletal muscle insulin resistance. Cell Metab. 2008; 7(1):45-56. DOI: 10.1016/j.cmet.2007.10.013. View