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High-Fat Diet Determines the Composition of the Murine Gut Microbiome Independently of Obesity
Open accessAbstract
Background & aims The composition of the gut microbiome is affected by host phenotype, genotype, immune function, and diet. Here, we used the phenotype of RELMbeta knockout (KO) mice to assess the influence of these factors.Methods Both wild-type and RELMbeta KO mice were lean on a standard chow diet, but, upon switching to a high-fat diet, wild-type mice became obese, whereas RELMbeta KO mice remained comparatively lean. To investigate the influence of diet, genotype, and obesity on microbiome composition, we used deep sequencing to characterize 25,790 16S rDNA sequences from uncultured bacterial communities from both genotypes on both diets.Results We found large alterations associated with switching to the high-fat diet, including a decrease in Bacteroidetes and an increase in both Firmicutes and Proteobacteria. This was seen for both genotypes (ie, in the presence and absence of obesity), indicating that the high-fat diet itself, and not the obese state, mainly accounted for the observed changes in the gut microbiota. The RELMbeta genotype also modestly influenced microbiome composition independently of diet. Metagenomic analysis of 537,604 sequence reads documented extensive changes in gene content because of a high-fat diet, including an increase in transporters and 2-component sensor responders as well as a general decrease in metabolic genes. Unexpectedly, we found a substantial amount of murine DNA in our samples that increased in proportion on a high-fat diet.Conclusions These results demonstrate the importance of diet as a determinant of gut microbiome composition and suggest the need to control for dietary variation when evaluating the composition of the human gut microbiome.
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“administration of an HFD to healthy subjects caused a decrease in Bacteroidetes levels with an increase in both Firmicutes and Proteobacteria levels of gut microbiota (Hildebrandt et al., 2009;Zhang et al., 2012a).”
From The Microbiota-Gut-Brain Axis (2019) · cites this paper as Hildebrandt et al., 2009
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“animal models fed an HFD demonstrated an alteration in their gut microbiota profile with a reduction in Bacteroidetes levels and an increase in both Proteobacteria and Firmicute levels (Hildebrandt et al., 2009).”
From The Microbiota-Gut-Brain Axis (2019) · cites this paper as Hildebrandt et al., 2009
In the citing paper
“Those with cystic fibrosis are recommended to consume a diet high in protein and fat (and therefore a comparative reduction in carbohydrates) which has been previously associated with an increase in Firmicutes to Bacteriodetes ratio in mice [96], though dietary data was not collected within the cystic fibrosis study [95].”
From Effect of Diet on the Gut Microbiota: Rethinking Intervention Duration (2019) · cites this paper as [96]
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“These changes were observed in mice resistant to weight gain, implying a direct effect of dietary lipids on the microbiota (26, 27).”
From The gut microbiota at the intersection of diet and human health (2018) · cites this paper as [26]
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“Experimental mice fed a high-fat diet (40 to 80% total caloric intake) exhibit decreases at the phyla-level in Bacteroidetes and increases in Firmicutes and Proteobacteria.”
From The gut microbiota at the intersection of diet and human health (2018) · cites this paper as [26]
In the citing paper
“a high-fat diet, independent of obesity, altered the composition of the intestinal microbiome (Hildebrandt, 2009).”
From Viral Infections, the Microbiome, and Probiotics (2021) · cites this paper as Hildebrandt, 2009
In the citing paper
“Similar to the Western diet, high-fat diets in animal studies reproducibly change gut microbial community structure, decreasing the overall microbiota diversity and beneficial bacteria (e.g., A. muciniphila, Bifidobacterium, Lactobacillus, and Lactococcus) and increasing the Firmicutes:Bacteroidetes ratio and the abundance of Enterobacteriales, Clostridium cluster XVIa, Mollicutes, and B. wadswort”
From Diet and the Microbiota–Gut–Brain Axis: Sowing the Seeds of Good Mental Health (2021) · cites this paper as [90]
In the citing paper
“To further isolate the solitary impact of sleep on the microbiota – separate from the previously documented impact of e.g. high-fat diet [32] – participants were provided with a non-sugar sweetened, low-fat diet throughout the three meals, the exception being the oral glucose tolerance (OGTT) test on day 2”
From Gut microbiota and glucometabolic alterations in response to recurrent partial sleep deprivation in normal-weight young individuals (2016) · cites this paper as [32]
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Unraveling the Role of the Human Gut Microbiome in Health and Diseases
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“Gut microbiota in T2D have been studied for years [15,16], and HFD could determine the composition of the murine gut microbiome [17].”
BackgroundThe Role of Gut Microbiome in Sleep Quality and Health: Dietary Strategies for Microbiota Support
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BackgroundPolyphenols and Intestinal Health
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“For example, high-fatfed mice (40), leptin gene-deficient obese mice (39), and leptin receptor-deficient obese rats (15) exhibit higher Firmicutes and reduced Bacteroidetes compared to lean, chow-fed animals.”
BackgroundDietary Influences on the Microbiota–Gut–Brain Axis
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BackgroundInfluentialDietary Selection Pressures and Their Impact on the Gut Microbiome
Ecklu-Mensah, G., Gilbert, J. A., & Devkota, S. (2021) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2021.07.009 · Cited by 79
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“…the USF+EtOH induced intestinal inflammation is the alterations of gut microbiota, which can occur in response to alcohol (Kirpich et al., 2008; Mutlu et al., 2009; Mutlu et al., 2012; Yan et al., 2011) as well as high fat diet (Cani et al., 2007; Hildebrandt et al., 2009; Turnbaugh et al., 2006).”
BackgroundOur Unindicted Coconspirators: Human Metabolism from a Microbial Perspective
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“The microbiota of RELMb knockout mice also changes its configuration in response to a high-fat diet, although the animals themselves are resistant to diet-induced obesity (Hildebrandt et al., 2009).”
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Bilberry Anthocyanins Ameliorate NAFLD by Improving Dyslipidemia and Gut Microbiome Dysbiosis
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Background
Metadata
- Authors
- Hildebrandt, M. A., Hoffmann, C., Sherrill–Mix, S. A., Keilbaugh, S. A., Hamady, M., Chen, Y., Knight, R., Ahima, R. S., Bushman, F., & Wu, G. D.
- Affiliations
- University of Pennsylvania (US)
- University of Colorado Boulder (US)
- Corresponding author
- Bushman, Frederic
- Wu, Gary D.
- Venue
- Gastroenterology
- Publisher
- Elsevier BV
- Published
- 2009-11
- Volume
- 137
- Issue
- 5
- Pages
- 1716-1724.e2
- ISSN
- 0016-5085 (ISSN-L)
- PMC
- PMC2770164
- OpenAlex
- W2158630697
- Cited by
- 1,576
- References
- 43
- Citations by year
- 2026: 40 · 2025: 61 · 2024: 96 · 2023: 76 · 2022: 130 · 2021: 117 · 2020: 158 · 2019: 148 · 2018: 115 · 2017: 94 · 2016: 104 · 2015: 96 · 2014: 87 · 2013: 82 · 2012: 71
- FWCI
- 22.84
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Gastroenterology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- University of Pennsylvania
- National Institutes of Health
- National Human Genome Research Institute (R01HG004872, HG004872)
- National Institute of General Medical Sciences (T32GM065103)
- National Institute of Allergy and Infectious Diseases (R01AI039368, AI39368)
- National Institute of Diabetes and Digestive and Kidney Diseases (DK-50306, DK078669, P01DK078669, DK-019525, DK062348, R01DK062348, R56DK062348, P30DK019525, P30DK050306)
- National Center for Research Resources (S10RR024525)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Keywords
- gut microbiota, high-fat diet, obesity, diet-induced obesity, Bacteroidetes, Firmicutes, Proteobacteria, gut microbiota composition, metagenomics, microbial gene content, 16S rRNA gene sequencing
- MeSH terms
- Animals, Diet, Dietary Fats, Female, Hormones, Ectopic, Intestines, Mice, Inbred C57BL, Obesity, RNA, Ribosomal, 16S, Mice, Knockout, Intercellular Signaling Peptides and Proteins, Mice, Metagenome
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