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Association of pre-pregnancy body mass index with offspring metabolic profile: Analyses of 3 European prospective birth cohorts.
Santos Ferreira, Diana L; Williams, Dylan M; Kangas, Antti J; Soininen, Pasi; Ala-Korpela, Mika; Smith, George Davey; Jarvelin, Marjo-Riitta; Lawlor, Debbie A.
Afiliação
  • Santos Ferreira DL; MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom.
  • Williams DM; School of Social and Community Medicine, University of Bristol, United Kingdom.
  • Kangas AJ; Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom.
  • Soininen P; Department of Medical Epidemiology & Biostatistics, Karolinska Institutet, Stockholm.
  • Ala-Korpela M; Computational Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland.
  • Smith GD; Biocenter Oulu, University of Oulu, Oulu, Finland.
  • Jarvelin MR; Computational Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland.
  • Lawlor DA; Biocenter Oulu, University of Oulu, Oulu, Finland.
PLoS Med ; 14(8): e1002376, 2017 Aug.
Article em En | MEDLINE | ID: mdl-28829768
BACKGROUND: A high proportion of women start pregnancy overweight or obese. According to the developmental overnutrition hypothesis, this could lead offspring to have metabolic disruption throughout their lives and thus perpetuate the obesity epidemic across generations. Concerns about this hypothesis are influencing antenatal care. However, it is unknown whether maternal pregnancy adiposity is associated with long-term risk of adverse metabolic profiles in offspring, and if so, whether this association is causal, via intrauterine mechanisms, or explained by shared familial (genetic, lifestyle, socioeconomic) characteristics. We aimed to determine if associations between maternal body mass index (BMI) and offspring systemic cardio-metabolic profile are causal, via intrauterine mechanisms, or due to shared familial factors. METHODS AND FINDINGS: We used 1- and 2-stage individual participant data (IPD) meta-analysis, and a negative-control (paternal BMI) to examine the association between maternal pre-pregnancy BMI and offspring serum metabolome from 3 European birth cohorts (offspring age at blood collection: 16, 17, and 31 years). Circulating metabolic traits were quantified by high-throughput nuclear magnetic resonance metabolomics. Results from 1-stage IPD meta-analysis (N = 5327 to 5377 mother-father-offspring trios) showed that increasing maternal and paternal BMI was associated with an adverse cardio-metabolic profile in offspring. We observed strong positive associations with very-low-density lipoprotein (VLDL)-lipoproteins, VLDL-cholesterol (C), VLDL-triglycerides, VLDL-diameter, branched/aromatic amino acids, glycoprotein acetyls, and triglycerides, and strong negative associations with high-density lipoprotein (HDL), HDL-diameter, HDL-C, HDL2-C, and HDL3-C (all P < 0.003). Slightly stronger magnitudes of associations were present for maternal compared with paternal BMI across these associations; however, there was no strong statistical evidence for heterogeneity between them (all bootstrap P > 0.003, equivalent to P > 0.05 after accounting for multiple testing). Results were similar in each individual cohort, and in the 2-stage analysis. Offspring BMI showed similar patterns of cross-sectional association with metabolic profile as for parental pre-pregnancy BMI associations but with greater magnitudes. Adjustment of parental BMI-offspring metabolic traits associations for offspring BMI suggested the parental associations were largely due to the association of parental BMI with offspring BMI. Limitations of this study are that inferences cannot be drawn about the role of circulating maternal fetal fuels (i.e., glucose, lipids, fatty acids, and amino acids) on later offspring metabolic profile. In addition, BMI may not reflect potential effects of maternal pregnancy fat distribution. CONCLUSION: Our findings suggest that maternal BMI-offspring metabolome associations are likely to be largely due to shared genetic or familial lifestyle confounding rather than to intrauterine mechanisms.
Assuntos

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Índice de Massa Corporal / Metaboloma / Saúde Materna / Herança Materna / Lipídeos Tipo de estudo: Observational_studies / Risk_factors_studies Aspecto: Equity_inequality Limite: Adolescent / Adult / Female / Humans / Male Idioma: En Revista: PLoS Med Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Índice de Massa Corporal / Metaboloma / Saúde Materna / Herança Materna / Lipídeos Tipo de estudo: Observational_studies / Risk_factors_studies Aspecto: Equity_inequality Limite: Adolescent / Adult / Female / Humans / Male Idioma: En Revista: PLoS Med Ano de publicação: 2017 Tipo de documento: Article