4.7 Article

Characterization of microbial communities from gut microbiota of hypercholesterolemic and control subjects

Journal

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fcimb.2022.943609

Keywords

gut microbiota; LDL cholesterol; LEfSe analysis; microbial signature; 16S rRNA sequencing

Funding

  1. FONDECYT-ANID [11160364, 1211731]
  2. FONDAP-ANID [15130011]
  3. ANID PhD fellowship [21181271]

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Our study revealed significant differences in weight, height, BMI, and serum lipid levels between hypercholesterolemic individuals and controls. LEfSe analysis identified differentially abundant prokaryotic taxa in the two groups. Phylogenetic Investigation of Communities by Reconstruction of Unobserved States 2 (PICRUSt2) showed different predominant metabolic pathways between the two groups.
IntroductionIn recent years, several studies have evidenced the importance of the microbiome to host physiology as metabolism regulator, along with its potential role in triggering various diseases. In this study, we analyzed the gut microbiota in hypercholesterolemic (cases) and normocholesterolemic (controls) individuals to identify characteristic microbial signature for each condition. MethodsStool samples were obtained from 57 adult volunteers (27 hypercholesterolemic and 30 controls). The taxonomic profiling of microbial communities was performed using high-throughput sequencing of 16S rRNA V3-V4 amplicons, followed by data analysis using Quantitative Insights Into Microbial Ecology 2 (QIIME2) and linear discriminant analysis (LDA) effect size (LEfSe). ResultsSignificant differences were observed in weight, height, body mass index (BMI) and serum levels of triglycerides, total cholesterol and low-density lipoprotein cholesterol (LDL-C) between the groups (p<0.05). LEfSe showed differentially abundant prokaryotic taxa (alpha=0.05, LDA score > 2.0) in the group of hypercholesterolemic individuals (Methanosphaera, Rothia, Chromatiales, Clostridiales, Bacillaceae and Coriobacteriaceae) and controls (Faecalibacterium, Victivallis and Selenomonas) at various taxonomic levels. In addition, through the application of Phylogenetic Investigation of Communities by Reconstruction of Unobserved States 2 (PICRUSt2), the predominance of pathways related to biosynthesis in hypercholesterolemic patients was established, compared to controls in which degradation pathways were predominant. Finally, in the analysis of co-occurrence networks, it was possible to identify associations between the microorganisms present in both studied groups. ConclusionOur results point out to unique microbial signatures, which likely play a role on the cholesterol metabolism in the studied population.

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