Effect of common pregnancy and perinatal complications on offspring metabolic traits across the life course: a multi-cohort study.

Autor: Elhakeem A; MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK. a.elhakeem@bristol.ac.uk.; Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK. a.elhakeem@bristol.ac.uk., Ronkainen J; Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland., Mansell T; Murdoch Children's Research Institute, Parkville, VIC, Australia.; Department of Paediatrics, University of Melbourne, Parkville, VIC, Australia., Lange K; Murdoch Children's Research Institute, Parkville, VIC, Australia.; Department of Paediatrics, University of Melbourne, Parkville, VIC, Australia., Mikkola TM; Folkhälsan Research Center, Helsinki, Finland.; Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland., Mishra BH; Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.; Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.; Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland., Wahab RJ; Department of Paediatrics, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, Netherlands.; The Generation R Study Group, Erasmus MC, University Medical Centre, Rotterdam, Netherlands., Cadman T; MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.; Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark., Yang T; Bradford Institute for Health Research, Bradford Teaching Hospitals National Health Service Foundation Trust, Bradford, UK., Burgner D; Murdoch Children's Research Institute, Parkville, VIC, Australia.; Department of Paediatrics, University of Melbourne, Parkville, VIC, Australia.; Department of Paediatrics, Monash University, Clayton, VIC, Australia., Eriksson JG; Folkhälsan Research Center, Helsinki, Finland.; Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.; Obstetrics & Gynecology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore.; Singapore Institute for Clinical Sciences (SICS), Agency for Science and Technology (A*STAR), Singapore, Singapore., Järvelin MR; Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland.; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK., Gaillard R; Department of Paediatrics, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, Netherlands.; The Generation R Study Group, Erasmus MC, University Medical Centre, Rotterdam, Netherlands., Jaddoe VWV; Department of Paediatrics, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, Netherlands.; The Generation R Study Group, Erasmus MC, University Medical Centre, Rotterdam, Netherlands., Lehtimäki T; Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.; Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.; Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland., Raitakari OT; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland.; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland., Saffery R; Murdoch Children's Research Institute, Parkville, VIC, Australia.; Department of Paediatrics, University of Melbourne, Parkville, VIC, Australia., Wake M; Murdoch Children's Research Institute, Parkville, VIC, Australia.; Department of Paediatrics, University of Melbourne, Parkville, VIC, Australia.; Liggins Institute, University of Auckland, Auckland, New Zealand., Wright J; Bradford Institute for Health Research, Bradford Teaching Hospitals National Health Service Foundation Trust, Bradford, UK., Sebert S; Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland., Lawlor DA; MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.; Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK.; NIHR Bristol Biomedical Research Centre, Bristol, UK.
Jazyk: angličtina
Zdroj: BMC medicine [BMC Med] 2023 Jan 18; Vol. 21 (1), pp. 23. Date of Electronic Publication: 2023 Jan 18.
DOI: 10.1186/s12916-022-02711-8
Abstrakt: Background: Common pregnancy and perinatal complications are associated with offspring cardiometabolic risk factors. These complications may influence multiple metabolic traits in the offspring and these associations might differ with offspring age.
Methods: We used data from eight population-based cohort studies to examine and compare associations of pre-eclampsia (PE), gestational hypertension (GH), gestational diabetes (GD), preterm birth (PTB), small (SGA) and large (LGA) for gestational age (vs. appropriate size for gestational age (AGA)) with up to 167 plasma/serum-based nuclear magnetic resonance-derived metabolic traits encompassing lipids, lipoproteins, fatty acids, amino acids, ketones, glycerides/phospholipids, glycolysis, fluid balance, and inflammation. Confounder-adjusted regression models were used to examine associations (adjusted for maternal education, parity age at pregnancy, ethnicity, pre/early pregnancy body mass index and smoking, and offspring sex and age at metabolic trait assessment), and results were combined using meta-analysis by five age categories representing different periods of the offspring life course: neonates (cord blood), infancy (mean ages: 1.1-1.6 years), childhood (4.2-7.5 years); adolescence (12.0-16.0 years), and adulthood (22.0-67.8 years).
Results: Offspring numbers for each age category/analysis varied from 8925 adults (441 PTB) to 1181 infants (135 GD); 48.4% to 60.0% were females. Pregnancy complications (PE, GH, GD) were each associated with up to three metabolic traits in neonates (P≤0.001) with some evidence of persistence to older ages. PTB and SGA were associated with 32 and 12 metabolic traits in neonates respectively, which included an adjusted standardised mean difference of -0.89 standard deviation (SD) units for albumin with PTB (95% CI: -1.10 to -0.69, P=1.3×10 -17 ) and -0.41 SD for total lipids in medium HDL with SGA (95% CI: -0.56 to -0.25, P=2.6×10 -7 ), with some evidence of persistence to older ages. LGA was inversely associated with 19 metabolic traits including lower levels of cholesterol, lipoproteins, fatty acids, and amino acids, with associations emerging in adolescence, (e.g. -0.11 SD total fatty acids, 95% CI: -0.18 to -0.05, P=0.0009), and attenuating with older age across adulthood.
Conclusions: These reassuring findings suggest little evidence of wide-spread and long-term impact of common pregnancy and perinatal complications on offspring metabolic traits, with most associations only observed for newborns rather than older ages, and for perinatal rather than pregnancy complications.
(© 2023. The Author(s).)
Databáze: MEDLINE
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