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

Introduction: Hypertension is common in obesity and increases cardiovascular risk. Bariatric surgery improves metabolic health, but subgroup differences in blood pressure response remain unclear. This study examined 1-year changes in systolic blood pressure (SBP) and diastolic blood pressure (DBP) after bariatric surgery across sex, age group, and diabetes status. Methodology: This study included 32 obese adults undergoing bariatric surgery, with blood pressure measured at baseline, 6 and 12 months. Generalized estimating equation models were used to evaluate changes in SBP and DBP over time, adjusting for age, sex, surgery type, diabetes category, baseline body mass index, antihypertensive medication use, and baseline blood pressure. Interaction terms were tested to assess differences in blood pressure trajectories across subgroups. Results: Participants were predominantly female (67.4%), with a mean age of 36.9 ± 6.2 years and a mean body mass index of 40.7 ± 8.8 kg/m². Hypertension and diabetes were present in 40.6 and 31.3% of participants, respectively. There was a significant time effect for both SBP (p <0.001) and DBP (p = 0.004). At 12 months post-surgery, mean SBP decreased by 15 mmHg and DBP by 7.9 mmHg compared with baseline (both p <0.001). No significant interactions were observed between time and sex, diabetes category, or age category, indicating that blood pressure improvements were comparable across subgroups. Conclusion Bariatric surgery was associated with clinically meaningful reductions in both SBP and DBP, with similar improvement patterns observed across demographic and metabolic subgroups. These findings support the effectiveness of bariatric surgery as a strategy for blood pressure reduction and cardiovascular risk management in patients with obesity.
Blood Pressure ; Bariatric Surgery

Introduction: Polycystic ovarian syndrome (PCOS) is a complex endocrine disorder that significantly affects adolescent girls, particularly those with overweight or obesity. However, data examining the determinants and metabolic profiles of PCOS among adolescents with overweight and obesity remain limited, especially in Malaysia. This protocol describes a case-control study investigating the cardiometabolic, dietary, and psychosocial determinants of PCOS among adolescents with overweight and obesity. Methodology: This study is designed as a case-control study involving adolescent girls aged 13–16 years with a body mass index z-score >+1 standard deviation. Cases are defined as adolescent girls with a confirmed diagnosis of PCOS based on the recommendations of the 2017 International Consortium of Paediatric Endocrinology (ICPE), while controls are those who do not meet the diagnostic criteria for PCOS. A total sample size of 440 participants is required. Participants will be recruited from 22 secondary schools selected from a list of schools in Kuala Lumpur. Data on sociodemographic characteristics, psychosocial health, physical activity, and dietary intake will be collected using structured questionnaires. Blood samples will be obtained and analyzed for diagnostic testing (free testosterone), exclusion tests (thyroid-stimulating hormone, folliclestimulating hormone, luteinizing hormone, estradiol, prolactin, and dehydroepiandrosterone sulfate), and biochemical parameters (liver function tests, lipid profile, hemoglobin A1c, fasting glucose, fasting insulin, and inflammatory markers). Results: The study is expected to generate comprehensive data on the cardiometabolic, dietary, and psychosocial determinants of PCOS among adolescents with overweight and obesity. The findings will inform early screening strategies and targeted interventions aimed at reducing long-term reproductive and cardiometabolic complications. Conclusion This protocol outlines a structured approach to investigating PCOS in adolescence and addresses current gaps in early identification and risk stratification among highrisk populations.
Adolescent ; Humans ; Case-Control Studies ; Overweight ; Polycystic Ovary Syndrome ; Obesity

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.