ArticleMicrobial cell factories2020
Metatranscriptomic analysis to define the Secrebiome, and 16S rRNA profiling of the gut microbiome in obesity and metabolic syndrome of Mexican children.
Article in Microbial cell factories, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 2 of them syntheses that pooled it.
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Who cites it
89 citing papers in PubMed, 2 syntheses or guidelines pooled it, 146 citations in OpenAlex.
- Comparison of the gut microbiota in older people with and without sarcopenia: a systematic review and meta-analysis.Frontiers in cellular and infection microbiology · 2025Pooled it
- Pooled it
- Lifestyle modifications result in alterations in the gut microbiota in obese children.BMC microbiology · 2021Trial
- Trial
- Microbiota-Derived Metabolites in Developmental Programming: Bridging Early-Life Gut Microbiota to Childhood Metabolic Disorders.Current medical science · 2026Review
- Gut Microbiome Dysbiosis in Metabolic Syndrome: Current Evidence and Emerging Perspectives.Nutrients · 2026Review
- Gut microbiota and metabolic disease risk in youth.Cell reports. Medicine · 2026Review
- Influence of the Gut Microbiome on Body Composition and Metabolic Risk in Indian Children with Type 1 Diabetes Mellitus (T1dm).Journal of pharmacy & bioallied sciences · 2026Article
- Gut Microbiota Differences in Down Syndrome Are Most Pronounced in Childhood and Diminish With Age.International journal of microbiology · 2026Article
- Depletion ofFrontiers in microbiology · 2026Article
- Bioactive Plasmid- and Phage-Encoded Antimicrobial Peptides (AMPs) in the Human Gut: A Metatranscriptome-Virome Profiling Reveals Exploratory Links to Metabolic Human Diseases.Microbial ecology · 2025Article
- Gut Microbiota and Short-Chain Fatty Acids: Key Factors in Pediatric Obesity and Therapeutic Targets.International journal of molecular sciences · 2025Review
- Changes in microbiota associated with the use of intragastric balloons.Scientific reports · 2025Article
- Association between gut microbiota composition and physical functioning in patients with knee osteoarthritis: a machine learning study.Scientific reports · 2025Article
- The Bacterial Composition of the Gut Microbiota of Mexicans with Overweight and Obesity: A Systematic Review.Microorganisms · 2025Review
- Parabacteroides as a promising target for disease intervention: current stage and pending issues.NPJ biofilms and microbiomes · 2025Review
- Article
- Phenome-wide investigation of dietary and health outcomes associated with bitter taste receptor gene TAS2R38.European journal of nutrition · 2025Article
- Integrated muti-omics data and machine learning reveal CD151 as a key biomarker inducing chemoresistance in metabolic syndrome-related early-onset left-sided colorectal cancer.Functional & integrative genomics · 2025Article
- Causal association between gut microbiota composition and the risk of atrial fibrillation.Journal of translational internal medicine · 2025Article
29 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundIn 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.
resultsOut 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 obesity with metabolic syndrome such as increased Coriobacteraceae, Collinsela, and Collinsella aerofaciens; Erysipelotrichaceae, Catenibacterium and Catenibacterium sp., and decreased Parabacteroides distasonis, which correlated with clinical and anthropometric parameters associated to obesity and metabolic syndrome. Related to the Secrebiome, 16 genes, homologous to F. prausniitzi, were overexpressed for the obese and 15 genes homologous to Bacteroides, were overexpressed in the obesity with metabolic syndrome. Furthermore, a significant enrichment of CAZy enzymes was found in the Secrebiome. Additionally, significant differences in the antigenic density of the Secrebiome were found between normal weight and obesity groups.
conclusionsThese findings show, for the first time, the role of the Secrebiome in the functional human-microbiota interaction. Our results highlight the importance of metatranscriptomics to provide novel information about the gut microbiome's functions that could help us understand the impact of the Secrebiome on the homeostasis of its human host. Furthermore, the metatranscriptome and 16S profiling confirmed the importance of treating obesity and obesity with metabolic syndrome as separate conditions to better understand the interplay between microbiome and disease.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.