Maternal Serum Catestatin Levels in Gestational Diabetes Mellitus: A Potential Biomarker for Risk Assessment and

Nazan Vanli Tonyali1, Gulsan Karabay1, Burak Arslan2

  • 1Department of Perinatology, Ankara Etlik City Hospital, Ankara 06170, Türkiye.

PubMed

Background/Objectives: Gestational diabetes mellitus (GDM) presents significant risks for both maternal and neonatal health, affecting fetal growth and increasing the likelihood of future diabetes mellitus (DM) development in affected women. The dysregulation of metabolic biomarkers, including catestatin, has been implicated in GDM pathophysiology. However, the clinical significance of catestatin in GDM remains poorly understood, particularly in the context of different therapeutic approaches. Methods: This observational, prospective, and cross-sectional study was conducted to evaluate maternal serum catestatin levels in gestational diabetes mellitus (GDM) patients and healthy controls. Data were collected at a single time point during the second trimester of pregnancy (24 to 28 weeks). Participants were categorized based on their glucose tolerance and GDM management strategies (diet regulation or insulin therapy). Results: Receiver Operating Characteristic (ROC) analysis demonstrated the diagnostic significance of serum catestatin levels in GDM, suggesting a cut-off value of >9.61 ng/mL for discriminating between women with and without GDM. However, further research is needed to elucidate the mechanistic role of catestatin in GDM and its utility in guiding therapeutic interventions. Conclusions: Our study highlights the potential of catestatin as a biomarker for GDM risk stratification and monitoring, complementing existing diagnostic tools. Integrating metabolic biomarkers like catestatin into clinical management approaches may optimize maternal and neonatal health outcomes in GDM. However, the limitations of our study, including its cross-sectional design and sample size, underscore the need for future multicenter studies to validate our findings comprehensively.

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