Background: Peroxisome proliferator-activated receptor (PPAR)-gamma2 Pro12Ala polymorphism has been suggested as a protective factor for polycystic ovary syndrome (PCOS). In this study, we aimed to investigate metabolic features and reproductive hormones in women with PCOS and compare these features with control women on the basis of Pro12Ala genotype.
Methods: This study involved 60 randomly selected women with PCOS and 60 controls. Main outcome measures were anthropometric measures, variables of glucose metabolism and reproductive hormones. All the patients were genotyped for Pro12Ala variant of PPAR-gamma2 gene.
Results: Patients with Pro12Ala polymorphism were more obese in both groups. Furthermore, they had lower fasting insulin levels, were less insulin-resistant and were less glucose-intolerant as demonstrated by 2 h glucose concentrations. However, there was no difference in reproductive hormone levels on the basis of Pro12Ala genotype.
Conclusions: Both control women and women with PCOS had significant differences in glucose metabolism on the basis of PPAR-gamma2 Pro12Ala polymorphism. Pro12Ala variant may break the process that leads to PCOS in susceptible women, instead of being a direct causal relationship between Pro12Ala polymorphism and PCOS.
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http://dx.doi.org/10.1093/humrep/deh769 | DOI Listing |
BMC Nephrol
November 2024
Department of Biomedical Sciences, School of Medicine, Nazarbayev University, Astana, Kazakhstan.
Background: Globally, diabetic kidney disease (DKD) has become the leading cause of end-stage renal disease, imposing substantial social and economic costs. This meta-analysis was designed to provide valuable insights into gene-disease interactions by investigating the potential association between lipid metabolism gene polymorphisms and the risk of DKD.
Methods: An electronic literature search was conducted on MEDLINE Complete, Web of Science, Embase, and PubMed.
Biomolecules
December 2023
Facultad de Medicina y Ciencias Biomédicas, Universidad Autónoma de Chihuahua, Campus II. Circuito Universitario S/N, Chihuahua 31109, CP, Mexico.
Unlabelled: Glucose and lipid metabolism regulation by the peroxisome proliferator-activated receptors (PPARs) has been extensively reported. However, the role of their polymorphisms remains unclear.
Objective: To determine the relation between PPAR-γ2 rs1801282 (Pro12Ala) and PPAR-β/δ rs2016520 (+294T/C) polymorphisms and metabolic biomarkers in adults with type 2 diabetes (T2D).
Bioinformation
September 2023
Department of Physiology, Government Medical College, Rajanna Sircilla, Telangana - 505 301, India.
Peroxisome Proliferator-Activated Receptor gamma 2 (PPARγ2) belongs to nuclear receptor superfamily and plays a role in adipocyte differentiation and inflammation. Evidences suggest that inflammatory processes hold key to insulin resistance and PPARγ2 has also been implicated. PPARγ2 exhibits gene polymorphism.
View Article and Find Full Text PDFPharmaceutics
June 2023
College of Pharmacy and Graduate School of Pharmaceutical Sciences, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Republic of Korea.
Thiazolidinediones (TZDs) are a type of oral drug that are utilized for the treatment of type 2 diabetes mellitus (T2DM). They function by acting as agonists for a nuclear transcription factor known as peroxisome proliferator-activated receptor-gamma (PPAR-γ). TZDs, such as pioglitazone and rosiglitazone, help enhance the regulation of metabolism in individuals with T2DM by improving their sensitivity to insulin.
View Article and Find Full Text PDFIndian J Endocrinol Metab
April 2023
Department of Endocrinology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.
Background: Peroxisome proliferator-activated receptors (PPAR) α and γ genes play an important role in dyslipidaemia of T2DM.
Aims: To estimate the frequency distribution of PPAR α and γ gene polymorphisms in South Indian T2DM patients with dyslipidaemia compared to healthy controls. Normative frequencies of SNPs were established and compared with data for 1000 genome populations.
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