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

Journal
Frontiers in Cellular and Infection Microbiology
ISSN
2235-2988
Date Issued
2022
Author(s)
Cristian Morales
Gabriel Rojas
Camilo Rebolledo
Marcelo Rojas-Herrera
Raúl Arias-Carrasco
Sara Cuadros-Orellana
Vinicius Maracaja-Coutinho
Kathleen Saavedra
Pamela Leal
Fernando Lanas
Luis A. Salazar
Nicolás Saavedra
Type
Resource Types::text::journal::journal article
Scopus ID
2-s2.0-85143885867
WoS ID
WOS:000897854100001
DOI
URL
URL Institutional Repository
Abstract
<jats:sec><jats:title>Introduction</jats:title><jats:p>In 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.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>Stool 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).</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Significant 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&lt;0.05). LEfSe showed differentially abundant prokaryotic taxa (α=0.05, LDA score &gt; 2.0) in the group of hypercholesterolemic individuals (<jats:italic>Methanosphaera</jats:italic>, <jats:italic>Rothia</jats:italic>, Chromatiales, Clostridiales, Bacillaceae and Coriobacteriaceae) and controls (<jats:italic>Faecalibacterium</jats:italic>, <jats:italic>Victivallis</jats:italic> and <jats:italic>Selenomonas)</jats:italic> 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.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>Our results point out to unique microbial signatures, which likely play a role on the cholesterol metabolism in the studied population.</jats:p></jats:sec>
Dataset(s)
Subjects
16s rrna sequencing

; 

gut microbiota

; 

ldl cholesterol

; 

lefse analysis

; 

microbial signature

; 

adult

; 

cholesterol

; 

gastrointestinal microbiome

; 

humans

; 

microbiota

; 

phylogeny

; 

rna, ribosomal, 16s

; 

high density lipoprotein cholesterol

; 

low density lipoprotein cholesterol

; 

rna 16s

; 

triacylglycerol

; 

cholesterol

; 

rna 16s

; 

actinobacteria

; 

adult

; 

amplicon

; 

anthropometric parameters

; 

article

; 

bacillaceae

; 

bacteroidaceae

; 

bacteroidetes

; 

bifidobacteriaceae

; 

biosynthesis

; 

blood sampling

; 

body height

; 

body mass

; 

body weight

; 

case control study

; 

cholesterol blood level

; 

cholesterol metabolism

; 

chromatiales

; 

clinical article

; 

clostridiaceae

; 

clostridiales

; 

comamonadaceae

; 

controlled study

; 

coriobacteriaceae

; 

cyanobacterium

; 

diastolic blood pressure

; 

dna extraction

; 

dna isolation

; 

effect size

; 

faecalibacterium

; 

feces analysis

; 

firmicutes

; 

fusobacteria

; 

gene frequency

; 

gene sequence

; 

glucose blood level

; 

high density lipoprotein cholesterol level

; 

high throughput sequencing

; 

human

; 

hypercholesterolemia

; 

intestine flora

; 

low density lipoprotein cholesterol level

; 

methanosphaera

; 

microbial community

; 

microbial diversity

; 

microbiome

; 

middle aged

; 

molecular genetics

; 

phylogenetic tree

; 

polymerase chain reaction

; 

proteobacteria

; 

pyrosequencing

; 

quantitative analysis

; 

rna sequencing

; 

rothia

; 

selenomonas

; 

sequence analysis

; 

structure analysis

; 

systolic blood pressure

; 

triacylglycerol blood level

; 

verrucomicrobia

; 

genetics

; 

microflora

; 

phylogeny