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

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.