Gut Microbiome and Its Cofactors Are Linked to Lipoprotein Distribution Profiles
Increasing evidence indicates that the gut microbiome (GM) plays an important role in dyslipidemia. To date, however, no in-depth characterization of the associations between GM with lipoproteins distributions (LPD) among adult individuals with diverse BMI has been conducted. To determine such assoc...
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Published in | Microorganisms (Basel) Vol. 10; no. 11; p. 2156 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Basel
MDPI AG
31.10.2022
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Online Access | Get full text |
ISSN | 2076-2607 2076-2607 |
DOI | 10.3390/microorganisms10112156 |
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Abstract | Increasing evidence indicates that the gut microbiome (GM) plays an important role in dyslipidemia. To date, however, no in-depth characterization of the associations between GM with lipoproteins distributions (LPD) among adult individuals with diverse BMI has been conducted. To determine such associations, we studied blood-plasma LPD, fecal short-chain fatty acids (SCFA) and GM of 262 Danes aged 19–89 years. Stratification of LPD segregated subjects into three clusters displaying recommended levels of lipoproteins and explained by age and body-mass-index. Higher levels of HDL2a and HDL2b were associated with a higher abundance of Ruminococcaceae and Christensenellaceae. Increasing levels of total cholesterol and LDL-1 and LDL-2 were positively associated with Lachnospiraceae and Coriobacteriaceae, and negatively with Bacteroidaceae and Bifidobacteriaceae. Metagenome-sequencing showed a higher abundance of biosynthesis of multiple B-vitamins and SCFA metabolism genes among healthier LPD profiles. Metagenomic-assembled genomes (MAGs) affiliated to Eggerthellaceae and Clostridiales were contributors of these genes and their relative abundance correlated positively with larger HDL subfractions. The study demonstrates that differences in composition and metabolic traits of the GM are associated with variations in LPD among the recruited subjects. These findings provide evidence for GM considerations in future research aiming to shed light on mechanisms of the GM–dyslipidemia axis. |
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AbstractList | Increasing evidence indicates that the gut microbiome (GM) plays an important role in dyslipidemia. To date, however, no in-depth characterization of the associations between GM with lipoproteins distributions (LPD) among adult individuals with diverse BMI has been conducted. To determine such associations, we studied blood-plasma LPD, fecal short-chain fatty acids (SCFA) and GM of 262 Danes aged 19–89 years. Stratification of LPD segregated subjects into three clusters displaying recommended levels of lipoproteins and explained by age and body-mass-index. Higher levels of HDL2a and HDL2b were associated with a higher abundance of Ruminococcaceae and Christensenellaceae. Increasing levels of total cholesterol and LDL-1 and LDL-2 were positively associated with Lachnospiraceae and Coriobacteriaceae, and negatively with Bacteroidaceae and Bifidobacteriaceae. Metagenome-sequencing showed a higher abundance of biosynthesis of multiple B-vitamins and SCFA metabolism genes among healthier LPD profiles. Metagenomic-assembled genomes (MAGs) affiliated to Eggerthellaceae and Clostridiales were contributors of these genes and their relative abundance correlated positively with larger HDL subfractions. The study demonstrates that differences in composition and metabolic traits of the GM are associated with variations in LPD among the recruited subjects. These findings provide evidence for GM considerations in future research aiming to shed light on mechanisms of the GM–dyslipidemia axis. Increasing evidence indicates that the gut microbiome (GM) plays an important role in dyslipidemia. To date, however, no in-depth characterization of the associations between GM with lipoproteins distributions (LPD) among adult individuals with diverse BMI has been conducted. To determine such associations, we studied blood-plasma LPD, fecal short-chain fatty acids (SCFA) and GM of 262 Danes aged 19-89 years. Stratification of LPD segregated subjects into three clusters displaying recommended levels of lipoproteins and explained by age and body-mass-index. Higher levels of HDL2a and HDL2b were associated with a higher abundance of Ruminococcaceae and Christensenellaceae. Increasing levels of total cholesterol and LDL-1 and LDL-2 were positively associated with Lachnospiraceae and Coriobacteriaceae, and negatively with Bacteroidaceae and Bifidobacteriaceae. Metagenome-sequencing showed a higher abundance of biosynthesis of multiple B-vitamins and SCFA metabolism genes among healthier LPD profiles. Metagenomic-assembled genomes (MAGs) affiliated to Eggerthellaceae and Clostridiales were contributors of these genes and their relative abundance correlated positively with larger HDL subfractions. The study demonstrates that differences in composition and metabolic traits of the GM are associated with variations in LPD among the recruited subjects. These findings provide evidence for GM considerations in future research aiming to shed light on mechanisms of the GM-dyslipidemia axis.Increasing evidence indicates that the gut microbiome (GM) plays an important role in dyslipidemia. To date, however, no in-depth characterization of the associations between GM with lipoproteins distributions (LPD) among adult individuals with diverse BMI has been conducted. To determine such associations, we studied blood-plasma LPD, fecal short-chain fatty acids (SCFA) and GM of 262 Danes aged 19-89 years. Stratification of LPD segregated subjects into three clusters displaying recommended levels of lipoproteins and explained by age and body-mass-index. Higher levels of HDL2a and HDL2b were associated with a higher abundance of Ruminococcaceae and Christensenellaceae. Increasing levels of total cholesterol and LDL-1 and LDL-2 were positively associated with Lachnospiraceae and Coriobacteriaceae, and negatively with Bacteroidaceae and Bifidobacteriaceae. Metagenome-sequencing showed a higher abundance of biosynthesis of multiple B-vitamins and SCFA metabolism genes among healthier LPD profiles. Metagenomic-assembled genomes (MAGs) affiliated to Eggerthellaceae and Clostridiales were contributors of these genes and their relative abundance correlated positively with larger HDL subfractions. The study demonstrates that differences in composition and metabolic traits of the GM are associated with variations in LPD among the recruited subjects. These findings provide evidence for GM considerations in future research aiming to shed light on mechanisms of the GM-dyslipidemia axis. Increasing evidence indicates that the gut microbiome (GM) plays an important role in dyslipidemia. To date, however, no in-depth characterization of the associations between GM with lipoproteins distributions (LPD) among adult individuals with diverse BMI has been conducted. To determine such associations, we studied blood-plasma LPD, fecal short-chain fatty acids (SCFA) and GM of 262 Danes aged 19–89 years. Stratification of LPD segregated subjects into three clusters displaying recommended levels of lipoproteins and explained by age and body-mass-index. Higher levels of HDL2a and HDL2b were associated with a higher abundance of Ruminococcaceae and Christensenellaceae . Increasing levels of total cholesterol and LDL-1 and LDL-2 were positively associated with Lachnospiraceae and Coriobacteriaceae , and negatively with Bacteroidaceae and Bifidobacteriaceae . Metagenome-sequencing showed a higher abundance of biosynthesis of multiple B-vitamins and SCFA metabolism genes among healthier LPD profiles. Metagenomic-assembled genomes (MAGs) affiliated to Eggerthellaceae and Clostridiales were contributors of these genes and their relative abundance correlated positively with larger HDL subfractions. The study demonstrates that differences in composition and metabolic traits of the GM are associated with variations in LPD among the recruited subjects. These findings provide evidence for GM considerations in future research aiming to shed light on mechanisms of the GM–dyslipidemia axis. |
Audience | Academic |
Author | Paulová, Petronela Lind, Mads V. Hansen, Lars H. Khakimov, Bekzod Holm, Lars Castro-Mejía, Josué L. Aru, Violetta Nielsen, Dennis S. Garne, Eva Engelsen, Søren B. Smilde, Age K. Tavakkoli, Elnaz |
AuthorAffiliation | 5 Swammerdam Institute for Life Sciences, University of Amsterdam, Postbus 94215, 1090 GE Amsterdam, The Netherlands 6 Department of Plant and Environmental Sciences, University of Copenhagen, 1871 Frederiksberg C, Denmark 3 Department of Biomedical Sciences, University of Copenhagen, 2200 Copenhagen N, Denmark 4 Biomedical Research Center, Institute of Experimental Endocrinology, University Science Park for Biomedicine, Dúbravská cesta 9, 94505 Bratislava, Slovakia 1 Department of Food Science, University of Copenhagen, 1958 Frederiksberg C, Denmark 7 School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham B15 2TT, UK 2 Department of Nutrition, Exercise and Sports, University of Copenhagen, 1958 Frederiksberg C, Denmark |
AuthorAffiliation_xml | – name: 2 Department of Nutrition, Exercise and Sports, University of Copenhagen, 1958 Frederiksberg C, Denmark – name: 1 Department of Food Science, University of Copenhagen, 1958 Frederiksberg C, Denmark – name: 4 Biomedical Research Center, Institute of Experimental Endocrinology, University Science Park for Biomedicine, Dúbravská cesta 9, 94505 Bratislava, Slovakia – name: 6 Department of Plant and Environmental Sciences, University of Copenhagen, 1871 Frederiksberg C, Denmark – name: 7 School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham B15 2TT, UK – name: 3 Department of Biomedical Sciences, University of Copenhagen, 2200 Copenhagen N, Denmark – name: 5 Swammerdam Institute for Life Sciences, University of Amsterdam, Postbus 94215, 1090 GE Amsterdam, The Netherlands |
Author_xml | – sequence: 1 givenname: Josué L. surname: Castro-Mejía fullname: Castro-Mejía, Josué L. – sequence: 2 givenname: Bekzod orcidid: 0000-0002-6580-2034 surname: Khakimov fullname: Khakimov, Bekzod – sequence: 3 givenname: Violetta orcidid: 0000-0002-5719-4622 surname: Aru fullname: Aru, Violetta – sequence: 4 givenname: Mads V. orcidid: 0000-0002-4999-1218 surname: Lind fullname: Lind, Mads V. – sequence: 5 givenname: Eva surname: Garne fullname: Garne, Eva – sequence: 6 givenname: Petronela surname: Paulová fullname: Paulová, Petronela – sequence: 7 givenname: Elnaz surname: Tavakkoli fullname: Tavakkoli, Elnaz – sequence: 8 givenname: Lars H. surname: Hansen fullname: Hansen, Lars H. – sequence: 9 givenname: Age K. surname: Smilde fullname: Smilde, Age K. – sequence: 10 givenname: Lars surname: Holm fullname: Holm, Lars – sequence: 11 givenname: Søren B. orcidid: 0000-0003-4124-4338 surname: Engelsen fullname: Engelsen, Søren B. – sequence: 12 givenname: Dennis S. orcidid: 0000-0001-8121-1114 surname: Nielsen fullname: Nielsen, Dennis S. |
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SubjectTerms | 1H-NMR Abundance Apolipoproteins Atherosclerosis Biosynthesis Blood lipoproteins Cholesterol Cofactors Composition Development and progression Diabetes Dyslipidemia Dyslipidemias Fatty acids Feature selection Feces Genes Genomes gut microbiota HDL Health aspects High density lipoprotein Intestinal microflora Lipoproteins lipoproteins distribution Low density lipoprotein Measurement Metabolic disorders Metabolism Metagenomics Microbiomes Microbiota (Symbiotic organisms) NMR Nuclear magnetic resonance Plasma Proteins Proteolipids Relative abundance Risk factors SCFAs Spectrum analysis Vitamins Womens health |
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Title | Gut Microbiome and Its Cofactors Are Linked to Lipoprotein Distribution Profiles |
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