Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2016 Feb 26:6:21618.
doi: 10.1038/srep21618.

Correlations of Fecal Metabonomic and Microbiomic Changes Induced by High-fat Diet in the Pre-Obesity State

Hong Lin  1 , Yanpeng An  2 , Fuhua Hao  1 , Yulan Wang  1   3 , Huiru Tang  2
Affiliations

Correlations of Fecal Metabonomic and Microbiomic Changes Induced by High-fat Diet in the Pre-Obesity State

Hong Lin et al. Sci Rep. .

Abstract

Obesity resulting from interactions of genetic and environmental factors becomes a serious public health problem worldwide with alterations of the metabolic phenotypes in multiple biological matrices involving multiple metabolic pathways. To understand the contributions of gut microbiota to obesity development, we analyzed dynamic alterations in fecal metabonomic phenotype using NMR and fecal microorganism composition in rats using pyrosequencing technology during the high-fat diet (HFD) feeding for 81 days (pre-obesity state). Integrated analysis of these two phenotypic datasets was further conducted to establish correlations between the altered rat fecal metabonome and gut microbiome. We found that one-week HFD feeding already caused significant changes in rat fecal metabonome and such changes sustained throughout 81-days feeding with the host and gut microbiota co-metabolites clearly featured. We also found that HFD caused outstanding decreases in most fecal metabolites implying enhancement of gut absorptions. We further established comprehensive correlations between the HFD-induced changes in fecal metabonome and fecal microbial composition indicating contributions of gut microbiota in pathogenesis and progression of the HFD-induced obesity. These findings provided essential information about the functions of gut microbiota in pathogenesis of metabolic disorders which could be potentially important for developing obesity prevention and treatment therapies.

PubMed Disclaimer

Figures

Figure 1
Figure 1. HFD-induced dynamic changes in the fecal metabonome against controls with the Pearson correlation coefficients from OPLS-DA color-coded.
The red cells indicated the HFD-induced significant metabolite level increases whereas blue ones indicated decreases. UDPG: uridine diphosphate glucose; TMA: trimethylamine; DMA: dimethylamine; D-GlcNAc: N-Acetyl-D-glucosamine; 4-HPA: 4-hydroxyphenylacetate.
Figure 2
Figure 2. HFD-induced significant gut microbial changes against controls in the (a) family and (b) genus levels, respectively, at day 7, 28, 56 and 81 post treatments.
The changes at each time-point were color-coded with values of 1-p where p-values were from the Student’s t-test or Kruskal-Wallis test. The red cells indicated the HFD-induced significant elevations of microbes whereas the blue ones indicated decreases. The white cells indicate the microbes with no significant inter-group differences.
Figure 3
Figure 3. Correlations for the significantly changed fecal metabolites and microbial genera with the respective hierarchical clustering.
The correlation coefficients between specific fecal metabolites and certain bacterial genera were color-coded with hot color (e.g., red) denoting positive correlations whereas the cool one (e.g., green) indicating negative ones. 4-HPA: 4-Hydroxyphenylacetate; TMA: Trimethylamine; DMA: Dimethylamine; UDPG: Uridine diphosphate glucose; D-GlcNAc: N-Acetyl-D-glucosamine.
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

See all "Cited by" articles

References

    1. Ogden C. L., Carroll M. D., Kit B. K. & Flegal K. M. Prevalence of obesity in the United States, 2009–2010. NCHS data brief. 1–8 (2012). - PubMed
    1. Finkelstein E., Fiebelkorn I. C. & Wang G. J. The costs of obesity among full-time employees. Am J Health Promot 20, 45–51 (2005). - PubMed
    1. Yu Z. B. et al. Trends in overweight and obesity among children and adolescents in China from 1981 to 2010: A Meta-Analysis. PLoS One 7, doi: 10.1371/journal.pone.0051949 (2012). - DOI - PMC - PubMed
    1. Zhao W. et al. Economic burden of obesity-related chronic diseases in Mainland China. Obes Rev 9, 62–67 (2008). - PubMed
    1. Flegal K. M., Graubard B. I., Williamson D. F. & Gail M. H. Excess deaths associated with underweight, overweight, and obesity. J Am Med Inform Assoc 293, 1861–1867 (2005). - PubMed

Publication types