Articles producció científicaBioquímica i Biotecnologia

Examining the Interaction of the Gut Microbiome with Host Metabolism and Cardiometabolic Health in Metabolic Syndrome

  • Identification data

    Identifier:  imarina:9242568
    Authors:  Galie, Serena; Papandreou, Christopher; Arcelin, Pierre; Garcia, David; Palau-Galindo, Antoni; Gutierrez-Tordera, Laia; Folch, Alex; Bullo, Monica
    Abstract:
    (1) Background: The microbiota-host cross-talk has been previously investigated, while its role in health is not yet clear. This study aimed to unravel the network of microbial-host interactions and correlate it with cardiometabolic risk factors. (2) Methods: A total of 47 adults with overweight/obesity and metabolic syndrome from the METADIET study were included in this cross-sectional analysis. Microbiota composition (151 genera) was assessed by 16S rRNA sequencing, fecal (m = 203) and plasma (m = 373) metabolites were profiled. An unsupervised sparse generalized canonical correlation analysis was used to construct a network of microbiota-metabolite interactions. A multi-omics score was derived for each cluster of the network and associated with cardiometabolic risk factors. (3) Results: Five multi-omics clusters were identified. Thirty-one fecal metabolites formed these clusters and were correlated with plasma sphingomyelins, lysophospholipids and medium to long-chain acylcarnitines. Seven genera from Ruminococcaceae and a member from the Desulfovibrionaceae family were correlated with fecal and plasma metabolites. Positive correlations were found between the multi-omics scores from two clusters with cholesterol and triglycerides levels. (4) Conclusions: We identified a correlated network between specific microbial genera and fecal/plasma metabolites in an adult population with metabolic syndrome, suggesting an interplay between gut microbiota and host lipid metabolism on cardiometabolic health.
  • Others:

    Author, as appears in the article.: Galie, Serena; Papandreou, Christopher; Arcelin, Pierre; Garcia, David; Palau-Galindo, Antoni; Gutierrez-Tordera, Laia; Folch, Alex; Bullo, Monica
    Department: Bioquímica i Biotecnologia
    URV's Author/s: Bulló Bonet, Mònica / Galiè, Serena
    Keywords: Rna, ribosomal, 16s; Risk; Randomized controlled trials as topic; Omics; Obesity; Middle aged; Microbial metabolites; Metagenomics; Metabolomics; Metabolites; Metabolism; Metabolic syndrome; Male; Lipids; Lipid metabolism; Humans; Host microbial interactions; Gut microbiota; Gastrointestinal microbiome; Female; Feces; Diet; Cross-talk; Cross-sectional studies; Cross-over studies; Cardiovascular risk; Cardiometabolic risk factors; Canonical correlation analysis; Association; Aged; Adult; Acid
    Abstract: (1) Background: The microbiota-host cross-talk has been previously investigated, while its role in health is not yet clear. This study aimed to unravel the network of microbial-host interactions and correlate it with cardiometabolic risk factors. (2) Methods: A total of 47 adults with overweight/obesity and metabolic syndrome from the METADIET study were included in this cross-sectional analysis. Microbiota composition (151 genera) was assessed by 16S rRNA sequencing, fecal (m = 203) and plasma (m = 373) metabolites were profiled. An unsupervised sparse generalized canonical correlation analysis was used to construct a network of microbiota-metabolite interactions. A multi-omics score was derived for each cluster of the network and associated with cardiometabolic risk factors. (3) Results: Five multi-omics clusters were identified. Thirty-one fecal metabolites formed these clusters and were correlated with plasma sphingomyelins, lysophospholipids and medium to long-chain acylcarnitines. Seven genera from Ruminococcaceae and a member from the Desulfovibrionaceae family were correlated with fecal and plasma metabolites. Positive correlations were found between the multi-omics scores from two clusters with cholesterol and triglycerides levels. (4) Conclusions: We identified a correlated network between specific microbial genera and fecal/plasma metabolites in an adult population with metabolic syndrome, suggesting an interplay between gut microbiota and host lipid metabolism on cardiometabolic health.
    Thematic Areas: Zootecnia / recursos pesqueiros; Saúde coletiva; Química; Psicología; Planejamento urbano e regional / demografia; Nutrition and dietetics; Nutrition & dietetics; Nutrição; Medicina veterinaria; Medicina iii; Medicina ii; Medicina i; Interdisciplinar; Food science; Farmacia; Engenharias iv; Engenharias ii; Enfermagem; Educação física; Economia; Ciências biológicas iii; Ciências biológicas ii; Ciências biológicas i; Ciências agrárias i; Ciência de alimentos; Biotecnología
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: monica.bullo@urv.cat
    Record's date: 2024-10-12
    Paper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.mdpi.com/2072-6643/13/12/4318
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Paper original source: Nutrients. 13 (12): 4318-
    APA: Galie, Serena; Papandreou, Christopher; Arcelin, Pierre; Garcia, David; Palau-Galindo, Antoni; Gutierrez-Tordera, Laia; Folch, Alex; Bullo, Monica (2021). Examining the Interaction of the Gut Microbiome with Host Metabolism and Cardiometabolic Health in Metabolic Syndrome. Nutrients, 13(12), 4318-. DOI: 10.3390/nu13124318
    Article's DOI: 10.3390/nu13124318
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2021
    Publication Type: Journal Publications
  • Keywords:

    Food Science,Nutrition & Dietetics,Nutrition and Dietetics
    Rna, ribosomal, 16s
    Risk
    Randomized controlled trials as topic
    Omics
    Obesity
    Middle aged
    Microbial metabolites
    Metagenomics
    Metabolomics
    Metabolites
    Metabolism
    Metabolic syndrome
    Male
    Lipids
    Lipid metabolism
    Humans
    Host microbial interactions
    Gut microbiota
    Gastrointestinal microbiome
    Female
    Feces
    Diet
    Cross-talk
    Cross-sectional studies
    Cross-over studies
    Cardiovascular risk
    Cardiometabolic risk factors
    Canonical correlation analysis
    Association
    Aged
    Adult
    Acid
    Zootecnia / recursos pesqueiros
    Saúde coletiva
    Química
    Psicología
    Planejamento urbano e regional / demografia
    Nutrition and dietetics
    Nutrition & dietetics
    Nutrição
    Medicina veterinaria
    Medicina iii
    Medicina ii
    Medicina i
    Interdisciplinar
    Food science
    Farmacia
    Engenharias iv
    Engenharias ii
    Enfermagem
    Educação física
    Economia
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Ciências agrárias i
    Ciência de alimentos
    Biotecnología
  • Documents:

  • Cerca a google

    Search to google scholar