The Effect of General Adiposity and Central Body Fat Distribution on the Circulating Metabolome: a Multi-Cohort Non-Targeted Metabolomics Observational and Mendelian Randomization StudyShow others and affiliations
2022 (English)In: Diabetes, ISSN 0012-1797, E-ISSN 1939-327X, Vol. 71, no 2, p. 329-339Article in journal (Refereed) Published
Abstract [en]
Obesity is associated with adverse health outcomes, but the metabolic effects have not yet been fully elucidated. We aimed to investigate the association between adiposity with circulating metabolites and to address causality with Mendelian randomization (MR). Metabolomics data was generated by non-targeted ultra-performance liquid-chromatography coupled to time-of-flight mass-spectrometry in plasma and serum from three population-based Swedish cohorts: ULSAM (N=1,135), PIVUS (N=970), and TwinGene (N=2,059). We assessed associations between general adiposity measured as body mass index (BMI) and central body fat distribution measured as waist-to-hip ratio adjusted for BMI (WHRadjBMI) with 210 annotated metabolites. We employed MR analysis to assess causal effects. Lastly, we attempted to replicate the MR findings in the KORA and TwinsUK cohorts (N=7,373), the CHARGE consortium (N=8,631), the Framingham Heart Study (N=2,076) and the DIRECT consortium (N=3,029). BMI was associated with 77 metabolites, while WHRadjBMI was associated with 11 and 3 metabolites in women and men, respectively. The MR analyses in the Swedish cohorts suggested a causal association (p-value <0.05) of increased general adiposity and reduced levels of arachidonic acid, dodecanedioic acid and lysophosphatidylcholine (P-16:0) as well as with increased creatine levels. The replication effort provided support for a causal association of adiposity on reduced levels of arachidonic acid (p-value 0.03). Adiposity is associated with variation of large parts of the circulating metabolome, however causality needs further investigation in well-powered cohorts.
Place, publisher, year, edition, pages
American Diabetes Association , 2022. Vol. 71, no 2, p. 329-339
National Category
Endocrinology and Diabetes
Identifiers
URN: urn:nbn:se:oru:diva-95508DOI: 10.2337/db20-1120ISI: 000891579900013PubMedID: 34785567Scopus ID: 2-s2.0-85123813601OAI: oai:DiVA.org:oru-95508DiVA, id: diva2:1612497
Funder
Swedish Research Council, 2015-03477 2018-02784 2017-00641Göran Gustafsson Foundation for Research in Natural Sciences and MedicineEuropean Commission, GUTSY -801965Uppsala UniversitySwedish Heart Lung Foundation, 20170988The Royal Swedish Academy of SciencesSwedish Research Council Formas, 2020-00989
Note
Funding agency:
Swedish National Infrastructure for Computing (SNIC) through Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX) SNIC sens2017131 sens2018587
2021-11-182021-11-182022-12-13Bibliographically approved