TY - JOUR
T1 - Relationship between gut microbiota and circulating metabolites in population-based cohorts
AU - Vojinovic, Dina
AU - Radjabzadeh, Djawad
AU - Kurilshikov, Alexander
AU - Amin, Najaf
AU - Wijmenga, Cisca
AU - Franke, Lude
AU - Ikram, M Arfan
AU - Uitterlinden, Andre G
AU - Zhernakova, Alexandra
AU - Fu, Jingyuan
AU - Kraaij, Robert
AU - van Duijn, Cornelia M
PY - 2019/12/20
Y1 - 2019/12/20
N2 - Gut microbiota has been implicated in major diseases affecting the human population and has also been linked to triglycerides and high-density lipoprotein levels in the circulation. Recent development in metabolomics allows classifying the lipoprotein particles into more details. Here, we examine the impact of gut microbiota on circulating metabolites measured by Nuclear Magnetic Resonance technology in 2309 individuals from the Rotterdam Study and the LifeLines-DEEP cohort. We assess the relationship between gut microbiota and metabolites by linear regression analysis while adjusting for age, sex, body-mass index, technical covariates, medication use, and multiple testing. We report an association of 32 microbial families and genera with very-low-density and high-density subfractions, serum lipid measures, glycolysis-related metabolites, ketone bodies, amino acids, and acute-phase reaction markers. These observations provide insights into the role of microbiota in host metabolism and support the potential of gut microbiota as a target for therapeutic and preventive interventions.
AB - Gut microbiota has been implicated in major diseases affecting the human population and has also been linked to triglycerides and high-density lipoprotein levels in the circulation. Recent development in metabolomics allows classifying the lipoprotein particles into more details. Here, we examine the impact of gut microbiota on circulating metabolites measured by Nuclear Magnetic Resonance technology in 2309 individuals from the Rotterdam Study and the LifeLines-DEEP cohort. We assess the relationship between gut microbiota and metabolites by linear regression analysis while adjusting for age, sex, body-mass index, technical covariates, medication use, and multiple testing. We report an association of 32 microbial families and genera with very-low-density and high-density subfractions, serum lipid measures, glycolysis-related metabolites, ketone bodies, amino acids, and acute-phase reaction markers. These observations provide insights into the role of microbiota in host metabolism and support the potential of gut microbiota as a target for therapeutic and preventive interventions.
KW - DENSITY-LIPOPROTEIN
KW - HOST GENETICS
KW - RISK
KW - DISEASE
KW - GLYCOPROTEINS
KW - ROTTERDAM
KW - PARTICLES
KW - RELEVANCE
KW - PROFILES
KW - DATABASE
U2 - 10.1038/s41467-019-13721-1
DO - 10.1038/s41467-019-13721-1
M3 - Article
C2 - 31862950
VL - 10
JO - Nature Communications
JF - Nature Communications
SN - 2041-1723
IS - 1
M1 - 5813
ER -