期刊
FRONTIERS IN ENDOCRINOLOGY
卷 13, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fendo.2022.804455
关键词
fecal microbiota; insulin resisitance; HOMA-IR; 16S sequencing; gut metabolic modules
资金
- European Union [713679]
- Universitat Rovira i Virgili (URV)
- CIBER Fisiopatologia de la Obesidad y Nutricion (CIBEROBN)
- Instituto de Salud Carlos III (ISCIII), through the Fondo de Investigacion para la Salud (FIS)
- European Regional Development Fund [PI13/00462, PI16/00501, PI19/00576]
- Especial Action Project [2013ACUP00194]
- Fondo de Investigaciones Sanitarias of the Instituto de Salut Carlos III [PI17/00215]
- Generalitat Valenciana [PROMETEO 17/2017, PROMETEO 21/2021]
- ICREA under the ICREA Academia programme
This study identified specific taxonomic and functional fecal microbiota signatures associated with insulin resistance in a non-diabetic population with overweight/obesity at high cardiovascular risk. The findings suggest that tailoring therapies based on specific fecal microbiota profiles could be a potential strategy to improve insulin sensitivity.
ObjectiveAn 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. MethodsA 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. ResultsDesulfovibrio, 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. ConclusionsSpecific 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.
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