Weight Change and Its Association with Cardiometabolic Risk Markers in Overweight and Obese Women.

Objectives: To examine the association of weight loss magnitude with changes in cardiometabolic risk markers in overweight and obese women from low socioeconomic areas engaged in a lifestyle intervention. Methods: Analyses were performed on 243 women (mean body mass index 31.27 ± 4.14 kg/m2) who completed a 12-month lifestyle intervention in low socioeconomic communities in Klang Valley, Malaysia. Analysis of covariance (ANCOVA) was used to compare changes of cardiometabolic risk factors across weight change categories (2% gain, ±2% maintain, >2 to <5% loss, and 5 to 20% loss) within intervention and control group. Results: A graded association for changes in waist circumference, fasting insulin, and total cholesterol (p=0.002, for all variables) across the weight change categories were observed within the intervention group at six months postintervention. Participants who lost 5 to 20% of weight had the greatest improvements in those risk markers (-5.67 cm CI: -7.98 to -3.36, -4.27 µU/mL CI: -7.35, -1.19, and -0.59 mmol/L CI: -.99, -0.19, respectively) compared to those who did not. Those who lost >2% to <5% weight reduced more waist circumference (-4.24 cm CI: -5.44 to -3.04) and fasting insulin (-0.36 µU/mL CI: -1.95 to 1.24) than those who maintained or gained weight. No significant association was detected in changes of risk markers across the weight change categories within the control group except for waist circumference and adiponectin. Conclusion: Weight loss of >2 to <5% obtained through lifestyle intervention may represent a reasonable initial weight loss target for women in the low socioeconomic community as it led to improvements in selected risk markers, particularly of diabetes risk.

Electrophoretic Techniques for the Detection of Human Microsatellite D19S884.

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.