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A multivariant recall-by-genotype study of the metabolomic signature of BMI.
Fang, Si; Wade, Kaitlin H; Hughes, David A; Fitzgibbon, Sophie; Yip, Vikki; Timpson, Nicholas J; Corbin, Laura J.
Afiliação
  • Fang S; MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.
  • Wade KH; Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK.
  • Hughes DA; MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.
  • Fitzgibbon S; Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK.
  • Yip V; MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.
  • Timpson NJ; Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK.
  • Corbin LJ; Bristol Bioresource Laboratories, Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK.
Obesity (Silver Spring) ; 30(6): 1298-1310, 2022 06.
Article em En | MEDLINE | ID: mdl-35598895
ABSTRACT

OBJECTIVE:

This study estimated the effect of BMI on circulating metabolites in young adults using a recall-by-genotype study design.

METHODS:

A recall-by-genotype study was implemented in the Avon Longitudinal Study of Parents and Children. Samples from 756 participants were selected for untargeted metabolomics analysis based on low versus high genetic liability for higher BMI defined by a genetic risk score (GRS). Regression analyses were performed to investigate associations between BMI GRS group and relative abundance of 973 metabolites.

RESULTS:

After correction for multiple testing, 29 metabolites were associated with BMI GRS group. Bilirubin was among the most strongly associated metabolites, with reduced levels measured in individuals in the high-BMI GRS group (ß = -0.32, 95% CI -0.46 to -0.18, Benjamini-Hochberg adjusted p = 0.005). This study observed associations between BMI GRS group and the levels of several potentially diet-related metabolites, including hippurate, which had lower mean abundance in individuals in the high-BMI GRS group (ß = -0.29, 95% CI -0.44 to -0.15, Benjamini-Hochberg adjusted p = 0.008).

CONCLUSIONS:

Together with existing literature, these results suggest that a genetic predisposition to higher BMI captures differences in metabolism leading to adiposity gain. In the absence of prospective data, separating these effects from the downstream consequences of weight gain is challenging.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Predisposição Genética para Doença / Polimorfismo de Nucleotídeo Único Tipo de estudo: Etiology_studies / Observational_studies / Risk_factors_studies Limite: Adult / Child / Humans Idioma: En Revista: Obesity (Silver Spring) Assunto da revista: CIENCIAS DA NUTRICAO / FISIOLOGIA / METABOLISMO Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Predisposição Genética para Doença / Polimorfismo de Nucleotídeo Único Tipo de estudo: Etiology_studies / Observational_studies / Risk_factors_studies Limite: Adult / Child / Humans Idioma: En Revista: Obesity (Silver Spring) Assunto da revista: CIENCIAS DA NUTRICAO / FISIOLOGIA / METABOLISMO Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido