Author, as appears in the article.: Atzeni, Alessandro; Bastiaanssen, Thomaz F S; Cryan, John F; Tinahones, Francisco J; Vioque, Jesus; Corella, Dolores; Fito, Montserrat; Vidal, Josep; Moreno-Indias, Isabel; Gomez-Perez, Ana M; Torres-Collado, Laura; Coltell, Oscar; Castaner, Olga; Bullo, Monica; Salas-Salvado, Jordi
Department: Bioquímica i Biotecnologia
URV's Author/s: Atzeni, Alessandro / Bulló Bonet, Mònica / Martínez Rodríguez, María Ángeles / Salas Salvadó, Jorge
Keywords: Overweight Obesity Microbiota Mediterranean diet adherence Insulin resistance Insulin resisitance Humans Homa-ir Gut metabolic modules Feces Fecal microbiota Aged 16s sequencing obesity modulation metabolic syndrome insulin resisitance impact homa-ir gut microbiota gut metabolic modules glucose butyrate 16s sequencing
Abstract: Objective: An altered gut microbiota has been associated with insulin resistance, a metabolic dysfunction consisting of cellular insulin signaling impairment. The aim of the present study is to determine the taxonomic and functional fecal microbiota signatures associated with HOMA-IR index in a population with high cardiovascular risk. Methods: A total of 279 non-diabetic individuals (55–75 years aged) with overweight/obesity and metabolic syndrome were stratified according to tertiles of HOMA-IR index. Blood biochemical parameters, anthropometric measurements and fecal samples were collected at baseline. Fecal microbial DNA extraction, 16S amplicon sequencing and bioinformatics analysis were performed. Results: Desulfovibrio, Odoribacter and Oscillospiraceae UCG-002 were negatively associated with HOMA-IR index, whereas predicted total functional abundances revealed gut metabolic modules mainly linked to amino acid degradation. Butyricicoccus, Erysipelotrichaceae UCG-003, Faecalibacterium were positively associated with HOMA-IR index, whereas predicted total functional abundances revealed gut metabolic modules mainly linked to saccharide degradation. These bacteria contribute differentially to the gut metabolic modules, being the degree of contribution dependent on insulin resistance. Both taxa and gut metabolic modules negatively associated to HOMA-IR index were linked to mechanisms involving sulfate reducing bacteria, improvement of intestinal gluconeogenesis and production of acetate. Furthermore, both taxa and gut metabolic modules positively associated to HOMA-IR index were linked to production and mechanisms of action of butyrate. Conclusions: Specific taxonomic and functional fecal microbiota signatures associated with insulin resistance were identified in a non-diabetic population with overweight/obesity at high cardiovascular risk. These findings suggest that tailoring therapies based on specific fecal microbiota profiles could be a potential strategy to improve insulin sensitivity.
Thematic Areas: Medicina veterinaria Medicina iii Medicina ii Medicina i Interdisciplinar Farmacia Endocrinology, diabetes and metabolism Endocrinology & metabolism Ciências biológicas ii Ciências biológicas i
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: alessandro.atzeni@urv.cat mangeles.martinez@urv.cat alessandro.atzeni@urv.cat monica.bullo@urv.cat jordi.salas@urv.cat
Author identifier: 0000-0002-1804-8606 0000-0001-8595-3772 0000-0002-1804-8606 0000-0002-0218-7046 0000-0003-2700-7459
Record's date: 2024-10-12
Papper version: info:eu-repo/semantics/publishedVersion
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Frontiers In Endocrinology. 13 804455-
APA: Atzeni, Alessandro; Bastiaanssen, Thomaz F S; Cryan, John F; Tinahones, Francisco J; Vioque, Jesus; Corella, Dolores; Fito, Montserrat; Vidal, Josep; (2022). Taxonomic and Functional Fecal Microbiota Signatures Associated With Insulin Resistance in Non-Diabetic Subjects With Overweight/Obesity Within the Frame of the PREDIMED-Plus Study. Frontiers In Endocrinology, 13(), 804455-. DOI: 10.3389/fendo.2022.804455
Entity: Universitat Rovira i Virgili
Journal publication year: 2022
Publication Type: Journal Publications
Repositori URV