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Maternal obesity and metabolic (dysfunction) associated fatty liver disease in pregnancy: a comprehensive narrative review

  • Bianca M. Leca
  • , Lukasz Lagojda
  • , Chris Kite
  • , Emmanouil Karteris
  • , Eva Kassi
  • , Harpal S. Randeva
  • , Ioannis Kyrou
    • University of Warwick
    • University Hospitals Coventry and Warwickshire NHS Trust
    • University of Chester
    • Brunel University
    • Laiko Hospital
    • National and Kapodistrian University of Athens
    • University of Wolverhampton
    • Agricultural University of Athens
    • Aston University
    • University of Derby

    Research output: Contribution to journalReview articlepeer-review

    74 Downloads (Pure)

    Abstract

    Introduction: Obesity and metabolic-associated fatty liver disease (MAFLD) during pregnancy constitute significant problems for routine antenatal care, with increasing prevalence globally. Similar to obesity, MAFLD is associated with a higher risk for maternal complications (e.g. pre-eclampsia and gestational diabetes) and long-term adverse health outcomes for the offspring. However, MAFLD during pregnancy is often under-recognized, with limited management/treatment options. Areas covered: PubMed/MEDLINE, EMBASE, and Scopus were searched based on a search strategy for obesity and/or MAFLD in pregnancy to identify relevant papers up to 2024. This review summarizes the pertinent evidence on the relationship between maternal obesity and MAFLD during pregnancy. Key mechanisms implicated in the underlying pathophysiology linking obesity and MAFLD during pregnancy (e.g. insulin resistance and dysregulated adipokine secretion) are highlighted. Moreover, a diagnostic approach for MAFLD diagnosis during pregnancy and its complications are presented. Finally, promising relevant areas for future research are covered. Expert opinion: Research progress regarding maternal obesity, MAFLD, and their impact on maternal and fetal/offspring health is expected to improve the relevant diagnostic methods and lead to novel treatments. Thus, routine practice could apply more personalized management strategies, incorporating individualized algorithms with genetic and/or multi-biomarker profiling to guide prevention, early diagnosis, and treatment.

    Original languageEnglish
    Pages (from-to)335-348
    Number of pages14
    JournalExpert review of endocrinology & metabolism
    Volume19
    Issue number4
    Early online date11 Jun 2024
    DOIs
    Publication statusPublished - 3 Jul 2024

    Bibliographical note

    This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/),which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Maternal obesity
    • metabolic-associated fatty liver disease (MAFLD)
    • metabolic dysfunction-associated steatotic liver disease (MASLD)
    • nonalcoholic fatty liver disease (NAFLD)
    • pregnancy
    • gestational diabetes mellitus (GDM)
    • antenatal care

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