Serum adipocytokines and adiposity as predictive indices of preeclampsia

Ahmed Tijani Bawah1, Francis Agyemang Yeboah2, Salifu Nanga3

  • 1Department of Medical Laboratory Science, School of Allied Health Sciences, University of Health and Allied Health Sciences, PMB 31, Ho, Ghana.

Clinical Hypertension
|October 5, 2020
PubMed

Insights

Serum adipokines like adiponectin, leptin, resistin, and visfatin can predict preeclampsia (PE) in early pregnancy. Resistin and adiponectin showed the strongest predictive capabilities, even after adjusting for risk factors.

Area of Science:

  • Reproductive Endocrinology
  • Biochemistry
  • Clinical Diagnostics

Background:

  • Preeclampsia (PE) is a significant complication of pregnancy.
  • Adipokines (adiponectin, leptin, resistin, visfatin) and lipids are implicated in PE pathogenesis.
  • Biomarker identification for early PE prediction is crucial.

Purpose of the Study:

  • To determine first-trimester serum levels of adiponectin, leptin, resistin, visfatin, and lipids in pregnant women.
  • To evaluate the association between these biochemical markers and the development of preeclampsia.
  • To assess the predictive potential of these adipokines for preeclampsia.

Main Methods:

  • A case-control study comparing pregnant women who developed PE with those who did not.
  • Measurement of first-trimester serum adipokines and lipid profiles.
  • Assessment of anthropometric parameters, blood pressure, and urine protein after 20 weeks of gestation.

Main Results:

  • No significant difference in most lipid profiles, except for lower HDL cholesterol in the PE group.
  • Significant differences observed in serum adipokine levels between PE and normotensive groups.
  • Adipokines demonstrated predictive ability for PE, even after adjusting for BMI and family history of hypertension.

Conclusions:

  • Adiponectin, leptin, resistin, and visfatin are significant predictors of preeclampsia.
  • Resistin emerged as a strong predictor after controlling for BMI.
  • Adiponectin proved to be the best predictor when accounting for BMI, age, parity, and family history.
Abstract

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