Metatranscriptomic analysis to define the Secrebiome, and 16S rRNA profiling of the gut microbiome in obesity and metabolic syndrome of Mexican children

Microbial Cell Factories
Luigui Gallardo-BecerraAdrián Ochoa-Leyva

Abstract

In the last decade, increasing evidence has shown that changes in human gut microbiota are associated with diseases, such as obesity. The excreted/secreted proteins (secretome) of the gut microbiota affect the microbial composition, altering its colonization and persistence. Furthermore, it influences microbiota-host interactions by triggering inflammatory reactions and modulating the host's immune response. The metatranscriptome is essential to elucidate which genes are expressed under diseases. In this regard, little is known about the expressed secretome in the microbiome. Here, we use a metatranscriptomic approach to delineate the secretome of the gut microbiome of Mexican children with normal weight (NW) obesity (O) and obesity with metabolic syndrome (OMS). Additionally, we performed the 16S rRNA profiling of the gut microbiota. Out of the 115,712 metatranscriptome genes that codified for proteins, 30,024 (26%) were predicted to be secreted, constituting the Secrebiome of the gut microbiome. The 16S profiling confirmed an increased abundance in Firmicutes and decreased in Bacteroidetes in the obesity groups, and a significantly higher richness and diversity than the normal weight group. We found novel biomarkers for obesi...Continue Reading

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Citations

Apr 25, 2020·Nutrients·Yolanda Gálvez-OntiverosAna Rivas
Jan 5, 2021·AIDS and Behavior·Bryce K PerlerPhilip A Chan
Feb 12, 2021·Journal of Personalized Medicine·Carolina Gutiérrez-RepisoFrancisco J Tinahones
Mar 1, 2021·Microbial Cell Factories·Xin YuanXiaohong Yang
Jun 15, 2021·Frontiers in Cellular and Infection Microbiology·Karina Ferreira RizzardiThaís Manzano Parisotto
Oct 7, 2021·FASEB Journal : Official Publication of the Federation of American Societies for Experimental Biology·Qiang-Jun WangZhong-Hong Wu

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Datasets Mentioned

BETA
PRJNA354235
PRJNA188481
GSE143207

Methods Mentioned

BETA
RNA-seq
RNAseq
amplicon sequencing
PCR

Software Mentioned

HMMER
house
LEfSe Galaxy
FastQC
Secrebiome
R package
Ribopicker
in
TransDecoder
AAR

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