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
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 popula...
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Frontiers Media S.A.
2022-04-01
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| Series: | Frontiers in Endocrinology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2022.804455/full |
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| author | Alessandro Atzeni Alessandro Atzeni Alessandro Atzeni Thomaz F. S. Bastiaanssen John F. Cryan Francisco J. Tinahones Francisco J. Tinahones Jesús Vioque Jesús Vioque Dolores Corella Dolores Corella Montserrat Fitó Montserrat Fitó Josep Vidal Josep Vidal Isabel Moreno-Indias Isabel Moreno-Indias Ana M. Gómez-Pérez Ana M. Gómez-Pérez Laura Torres-Collado Laura Torres-Collado Oscar Coltell Oscar Coltell Olga Castañer Olga Castañer Monica Bulló Monica Bulló Monica Bulló Jordi Salas-Salvadó Jordi Salas-Salvadó Jordi Salas-Salvadó |
| author_facet | Alessandro Atzeni Alessandro Atzeni Alessandro Atzeni Thomaz F. S. Bastiaanssen John F. Cryan Francisco J. Tinahones Francisco J. Tinahones Jesús Vioque Jesús Vioque Dolores Corella Dolores Corella Montserrat Fitó Montserrat Fitó Josep Vidal Josep Vidal Isabel Moreno-Indias Isabel Moreno-Indias Ana M. Gómez-Pérez Ana M. Gómez-Pérez Laura Torres-Collado Laura Torres-Collado Oscar Coltell Oscar Coltell Olga Castañer Olga Castañer Monica Bulló Monica Bulló Monica Bulló Jordi Salas-Salvadó Jordi Salas-Salvadó Jordi Salas-Salvadó |
| author_sort | Alessandro Atzeni |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T03:40:09Z |
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| id | doaj.art-4a1cc03779584d05b802dadd33306d5f |
| institution | Directory Open Access Journal |
| issn | 1664-2392 |
| language | English |
| last_indexed | 2024-04-13T03:40:09Z |
| publishDate | 2022-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Endocrinology |
| spelling | doaj.art-4a1cc03779584d05b802dadd33306d5f2022-12-22T03:04:10ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922022-04-011310.3389/fendo.2022.804455804455Taxonomic and Functional Fecal Microbiota Signatures Associated With Insulin Resistance in Non-Diabetic Subjects With Overweight/Obesity Within the Frame of the PREDIMED-Plus StudyAlessandro Atzeni0Alessandro Atzeni1Alessandro Atzeni2Thomaz F. S. Bastiaanssen3John F. Cryan4Francisco J. Tinahones5Francisco J. Tinahones6Jesús Vioque7Jesús Vioque8Dolores Corella9Dolores Corella10Montserrat Fitó11Montserrat Fitó12Josep Vidal13Josep Vidal14Isabel Moreno-Indias15Isabel Moreno-Indias16Ana M. Gómez-Pérez17Ana M. Gómez-Pérez18Laura Torres-Collado19Laura Torres-Collado20Oscar Coltell21Oscar Coltell22Olga Castañer23Olga Castañer24Monica Bulló25Monica Bulló26Monica Bulló27Jordi Salas-Salvadó28Jordi Salas-Salvadó29Jordi Salas-Salvadó30Department of Biochemistry and Biotechnology, Universitat Rovira i Virgili, Reus, SpainInstitut D’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari de Sant Joan de Reus, Reus, SpainCentro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, SpainAPC Microbiome Ireland, Department of Anatomy and Neuroscience, University College Cork, Cork, IrelandAPC Microbiome Ireland, Department of Anatomy and Neuroscience, University College Cork, Cork, IrelandCentro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, SpainUnidad de Gestión Clínica de Endocrinología y Nutrición, Instituto de Investigación Biomédica de Málaga (IBIMA), Hospital Universitario Virgen de la Victoria, Málaga, SpainInstituto de Investigación Sanitaria y Biomédica de Alicante, ISABIAL-Universidad Miguel Hernández (UMH), Alicante, SpainCentro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, SpainCentro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, SpainDepartment of Preventive Medicine, University of Valencia, Valencia, SpainCentro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, SpainCardiovascular Risk and Nutrition (Regicor Study Group), Hospital del Mar Research Institute (IMIM), Barcelona, Spain0Endocrinology and Nutrition Department, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic Universitari, Barcelona, Spain1Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, SpainCentro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, SpainUnidad de Gestión Clínica de Endocrinología y Nutrición, Instituto de Investigación Biomédica de Málaga (IBIMA), Hospital Universitario Virgen de la Victoria, Málaga, SpainCentro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, SpainUnidad de Gestión Clínica de Endocrinología y Nutrición, Instituto de Investigación Biomédica de Málaga (IBIMA), Hospital Universitario Virgen de la Victoria, Málaga, SpainInstituto de Investigación Sanitaria y Biomédica de Alicante, ISABIAL-Universidad Miguel Hernández (UMH), Alicante, SpainCentro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, SpainCentro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain2Department of Computer Languages and Systems, University Jaume I, Castelló de la Plana, SpainCentro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, SpainCardiovascular Risk and Nutrition (Regicor Study Group), Hospital del Mar Research Institute (IMIM), Barcelona, SpainDepartment of Biochemistry and Biotechnology, Universitat Rovira i Virgili, Reus, SpainInstitut D’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari de Sant Joan de Reus, Reus, SpainCentro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, SpainDepartment of Biochemistry and Biotechnology, Universitat Rovira i Virgili, Reus, SpainInstitut D’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari de Sant Joan de Reus, Reus, SpainCentro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, SpainObjectiveAn 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.https://www.frontiersin.org/articles/10.3389/fendo.2022.804455/fullfecal microbiotainsulin resisitanceHOMA-IR16S sequencinggut metabolic modules |
| spellingShingle | Alessandro Atzeni Alessandro Atzeni Alessandro Atzeni Thomaz F. S. Bastiaanssen John F. Cryan Francisco J. Tinahones Francisco J. Tinahones Jesús Vioque Jesús Vioque Dolores Corella Dolores Corella Montserrat Fitó Montserrat Fitó Josep Vidal Josep Vidal Isabel Moreno-Indias Isabel Moreno-Indias Ana M. Gómez-Pérez Ana M. Gómez-Pérez Laura Torres-Collado Laura Torres-Collado Oscar Coltell Oscar Coltell Olga Castañer Olga Castañer Monica Bulló Monica Bulló Monica Bulló Jordi Salas-Salvadó Jordi Salas-Salvadó Jordi Salas-Salvadó 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 fecal microbiota insulin resisitance HOMA-IR 16S sequencing gut metabolic modules |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | fecal microbiota insulin resisitance HOMA-IR 16S sequencing gut metabolic modules |
| url | https://www.frontiersin.org/articles/10.3389/fendo.2022.804455/full |
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