Preliminary Investigation of Potential Early Biomarkers for Gestational Diabetes Mellitus: Insights from PTRPG and IGKV2D-28 Expression Analysis

• Published in: International journal of molecular sciences 2024-10, Vol.25 (19), p.10527
• Main Authors: Payot, Mariejim Diane, Villavieja, Adrian, Pineda-Cortel, Maria Ruth
• Format: Article
• Language: English
• Subjects: Adult; B cells; Biological markers; biomarker; Biomarkers; Biomarkers - blood; Dextrose; Diabetes in pregnancy; Diabetes therapy; Diabetes, Gestational - blood; Diabetes, Gestational - diagnosis; Diabetes, Gestational - genetics; Diabetes, Gestational - metabolism; diagnosis; Female; Gene expression; Gestational diabetes; gestational diabetes mellitus; Glucose; Health aspects; Humans; Metabolism; Pathophysiology; Phosphatase; Pregnancy; Proteins; Receptor-Like Protein Tyrosine Phosphatases, Class 5 - genetics; Receptor-Like Protein Tyrosine Phosphatases, Class 5 - metabolism; ROC Curve; Signal transduction; Type 2 diabetes; Womens health
• ISSN: 1422-0067; 1661-6596; 1422-0067
• DOI: 10.3390/ijms251910527

Gestational diabetes mellitus (GDM) poses significant health risks to both mothers and infants, emphasizing the need for early detection strategies to mitigate its impact. However, the existing diagnostic methods, particularly the oral glucose tolerance test (OGTT) administered in the second or third trimester, show limitations in the detection of GDM during its early stages. This study aimed to explore the potential of the genes Protein Tyrosine Phosphatase Receptor-type Gamma ( ) and Immunoglobulin Kappa Variable 2D-28 ( ) as early indicators for GDM among Filipino pregnant women. Utilizing reverse transcription-quantitative polymerase chain reaction (RT-qPCR), the gene expressions were analyzed in first-trimester blood samples obtained from 24 GDM and 36 non-GDM patients. The diagnostic performance of and was analyzed and evaluated using receiver operating characteristic (ROC) curves. The findings revealed elevated expression levels of and within the GDM cohort. Remarkably, exhibited a sensitivity of 83%, while demonstrated a specificity of 94% at determined cut-off values. Combining both genes yielded an improved but limited diagnostic accuracy with an area under the curve (AUC) of 0.63. This preliminary investigation of and sheds light on novel avenues for early GDM detection. While these findings are promising, further validation studies in larger cohorts are necessary to confirm these results and explore additional biomarkers to enhance diagnostic precision in GDM pregnancies and, ultimately, to improve maternal and fetal outcomes.