Batoul Hojeij
Periconceptional biomarkers for maternal obesity: a systematic review
Hojeij, Batoul; Rousian, Melek; Sinclair, Kevin D.; Dinnyes, Andras; Steegers-Theunissen, Régine P. M.; Schoenmakers, Sam
Authors
Melek Rousian
KEVIN SINCLAIR kevin.sinclair@nottingham.ac.uk
Professor of Developmental Biology
Andras Dinnyes
Régine P. M. Steegers-Theunissen
Sam Schoenmakers
Abstract
Periconceptional maternal obesity is linked to adverse maternal and neonatal outcomes. Identifying periconceptional biomarkers of pathways affected by maternal obesity can unravel pathophysiologic mechanisms and identify individuals at risk of adverse clinical outcomes. The literature was systematically reviewed to identify periconceptional biomarkers of the endocrine, inflammatory and one-carbon metabolic pathways influenced by maternal obesity. A search was conducted in Embase, Ovid Medline All, Web of Science Core Collection and Cochrane Central Register of Controlled Trials databases, complemented by manual search in PubMed until December 31st, 2020. Eligible studies were those that measured biomarker(s) in relation to maternal obesity, overweight/obesity or body mass index (BMI) during the periconceptional period (14 weeks preconception until 14 weeks post conception). The ErasmusAGE score was used to assess the quality of included studies. Fifty-one articles were included that evaluated over 40 biomarkers. Endocrine biomarkers associated with maternal obesity included leptin, insulin, thyroid stimulating hormone, adiponectin, progesterone, free T4 and human chorionic gonadotropin. C-reactive protein was associated with obesity as part of the inflammatory pathway, while the associated one-carbon metabolism biomarkers were folate and vitamin B12. BMI was positively associated with leptin, C-reactive protein and insulin resistance, and negatively associated with Free T4, progesterone and human chorionic gonadotropin. Concerning the remaining studied biomarkers, strong conclusions could not be established due to limited or contradictory data. Future research should focus on determining the predictive value of the optimal set of biomarkers for their use in clinical settings. The most promising biomarkers include leptin, adiponectin, human chorionic gonadotropin, insulin, progesterone and CRP.
Citation
Hojeij, B., Rousian, M., Sinclair, K. D., Dinnyes, A., Steegers-Theunissen, R. P. M., & Schoenmakers, S. (2023). Periconceptional biomarkers for maternal obesity: a systematic review. Reviews in Endocrine and Metabolic Disorders, 24, 139-175. https://doi.org/10.1007/s11154-022-09762-5
Journal Article Type | Article |
---|---|
Acceptance Date | Oct 1, 2022 |
Online Publication Date | Dec 15, 2022 |
Publication Date | 2023-04 |
Deposit Date | May 15, 2024 |
Publicly Available Date | May 15, 2024 |
Journal | Reviews in Endocrine and Metabolic Disorders |
Print ISSN | 1389-9155 |
Electronic ISSN | 1573-2606 |
Publisher | Springer Verlag |
Peer Reviewed | Peer Reviewed |
Volume | 24 |
Pages | 139-175 |
DOI | https://doi.org/10.1007/s11154-022-09762-5 |
Keywords | Endocrinology; Endocrinology, Diabetes and Metabolism |
Public URL | https://nottingham-repository.worktribe.com/output/14895047 |
Publisher URL | https://link.springer.com/article/10.1007/s11154-022-09762-5 |
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Periconceptional biomarkers for maternal obesity: a systematic review
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Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
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