Introduction: Gestational diabetes mellitus (GDM) is a common pregnancy complication associated with adverse maternal and neonatal outcomes, including hypertensive disorders, caesarean delivery, macrosomia, and increased lifetime risk of type 2 diabetes. Despite its clinical importance, considerable international variation exists in GDM screening and diagnostic criteria. Multiple frameworks are currently used, including those from the World Health Organization (WHO), International Association of Diabetes and Pregnancy Study Groups, Carpenter and Coustan, and the National Diabetes Data Group. Differences in glucose thresholds, testing protocols (one-step versus two-step), and universal versus risk-based screening contribute to heterogeneity in reported prevalence and healthcare burden. In multi-ethnic, middle-income settings such as Malaysia, identifying an evidence-informed and contextappropriate diagnostic approach is critical. Methodology: This scoping review follows the Joanna Briggs Institute methodology and will be reported in accordance with the PRISMA Extension for Scoping Reviews (PRISMA-ScR). PubMed, Scopus, and ScienceDirect will be searched for English-language studies, reviews, guidelines, and consensus statements reporting GDM diagnostic criteria. Two reviewers will independently screen and select studies. Results: Data will be charted on country, study type, diagnostic criteria, gestational age at screening, and reported challenges. Findings will be synthesized descriptively and presented in tables and figures. No formal risk-of-bias assessment will be conducted. Conclusion This review will provide a comprehensive overview of global diagnostic practices, highlight variations and gaps, and support evidence-based selection of a suitable GDM screening and diagnostic strategy for Malaysia.
Diabetes, Gestational ; Malaysia ; Policy ; Review Literature as Topic

Background: The detection and analysis of microsatellites is very important for the mapping of genetic diseases because they are commonly used as genetic markers. Microsatellite marker D19S884 has been associated with polycystic ovary syndrome (PCOS), the most common reproductive endocrine disease of women in their childbearing years. It is responsible for an estimated 70% of cases of anovulatory infertility. In this work, we detected microsatellites in DNA extracted from the blood of PCOS patients. Methods: DNA microsatellites were amplified by polymerase chain reaction (PCR) using a pair of specific primers tagged with fluorescence to yield products of 160–200 base pairs in length. Alleles were separated on 4% low-melting agarose gels; stained with a safe gel staining, GelRed™, which is an alternative to ethidium bromide; and visualised by ultraviolet illumination. Results: Bands were observed, but their base-pairs differences were difficult to distinguish. To identify each allele clearly, the PCR products were also analysed using capillary gel electrophoresis for fragment analysis where it was possible to discriminate even in case of difference between two pairs of bases between the alleles. Conclusion: In this article, we present a protocol that combines the use of gel electrophoresis and fragment analysis in the identification of genetic biomarkers for PCOS.