Situation analysis, cultural beliefs, lifestyle, and the psychological impact of polycystic ovary syndrome in Europe

Kamran, Hafiz Sohail; Saeed, Tamar

doi:10.1016/b978-0-323-87932-3.00037-2

Cited by 3 publications

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In our previous survey, we discovered that the majority of the population is unaware of their menstrual health while experiencing a few symptoms such as irregular menstruation, dysmenorrhea, and so on [14]. The condition stays the same in both developing and developed nations, and this could be related to traditional and cultural views [15][16][17]. Over the last 2 decades, the global burden of PCOS-related infertility has grown dramatically [18].…”

Section: P a G E |mentioning

confidence: 99%

Clinical-Exome Sequencing Unveils the Genetic Landscape of Polycystic Ovarian Syndrome (PCOS) Focusing on Lean and Obese Phenotypes: Implications for Cost-Effective Diagnosis and Personalized Treatment

Dhar,

Bhattacharjee

2024

Preprint

View full text Add to dashboard Cite

Background: Polycystic ovarian syndrome (PCOS) is a serious endocrine disorder that affects 15-20% of fertile women globally. It is classed as a syndrome rather than a disease because to its wide range of symptoms, which include hyperandrogenism, acne, obesity, infertility, and hair loss. Understanding the aetiology and pathophysiology of PCOS is difficult due to its multiple causes, which include environmental factors, genetic predisposition, and epigenetic modifications. Despite research supporting the role of familial aggregations in PCOS outcomes, the inheritance pattern remains unknown. The disorder has an impact on several signal transduction pathways, including steroidogenesis, steroid hormone activity, gonadotrophin regulation, insulin secretion, energy balance, and chronic inflammation. Over the last two decades, the global burden of PCOS-related infertility has risen significantly. Detecting PCOS early in youth or before puberty is critical for quick diagnosis. Objective(s): This study investigates the genetic basis behind obesity-mediated PCOS, focusing on both obese and lean individuals. It uses a comprehensive bioinformatics methodology to depict pathways and functionality enrichment, allowing for cost-effective risk prediction and management. Study design: In the present research, the study participants were chosen from a cross-sectional epidemiological survey, based on their anthropometric parameters and confirmation of PCOS. Upon voluntary participation and written consent, biological fluids (whole-blood and buccal swab) were taken from where DNA was extracted. The Clinical-exome sequencing was performed by Next-generation Illumina platform using the Twist Human Comprehensive Exome Kit. A comprehensive bioinformatics methodology was employed to identify most important unique and common genes. Results: A total of 26,550 variants were identified in clinically important exomes from two samples, with 5170 common and 2232 and 2322 unique among PCOS lean and obese phenotypes, respectively. Only 262 and 94 variants were PCOS-specific in lean and obese PCOS. Three filters were applied to shortlist the most potent variants, with 4 unique variants in lean PCOS, 2 unique variants in obese PCOS, and 5 common variants in both. The study found that leptin signalling impairment and insulin resistance, as well as mutations in CYP1A1, CYP19A1, ESR1, AR, AMH, AdipoR1, NAMPT, NPY, PTEN, EGFR, and Akt, all play significant roles in PCOS in the studied group. Conclusions: Young women in West Bengal, India, are more likely to have co-occurring PCOS, which includes estrogen resistance, leptin receptor insufficiency, folate deficiency, T2DM, and acanthosis, with obesity being a common phenotypic expression.

show abstract

Section: P a G E |mentioning

confidence: 99%

Clinical-Exome Sequencing Unveils the Genetic Landscape of Polycystic Ovarian Syndrome (PCOS) Focusing on Lean and Obese Phenotypes: Implications for Cost-Effective Diagnosis and Personalized Treatment

Dhar,

Bhattacharjee

2024

Preprint

View full text Add to dashboard Cite

show abstract

SmartScanPCOS: A feature-driven approach to cutting-edge prediction of Polycystic Ovary Syndrome using Machine Learning and Explainable Artificial Intelligence

2024

Heliyon

View full text Add to dashboard Cite

Clinical-exome sequencing unveils the genetic landscape of polycystic ovarian syndrome (PCOS) focusing on lean and obese phenotypes: implications for cost-effective diagnosis and personalized treatment

Dhar,

Bhattacharjee

2024

Sci Rep

View full text Add to dashboard Cite

Situation analysis, cultural beliefs, lifestyle, and the psychological impact of polycystic ovary syndrome in Europe

Cited by 3 publications

References 6 publications

Clinical-Exome Sequencing Unveils the Genetic Landscape of Polycystic Ovarian Syndrome (PCOS) Focusing on Lean and Obese Phenotypes: Implications for Cost-Effective Diagnosis and Personalized Treatment

Clinical-Exome Sequencing Unveils the Genetic Landscape of Polycystic Ovarian Syndrome (PCOS) Focusing on Lean and Obese Phenotypes: Implications for Cost-Effective Diagnosis and Personalized Treatment

SmartScanPCOS: A feature-driven approach to cutting-edge prediction of Polycystic Ovary Syndrome using Machine Learning and Explainable Artificial Intelligence

Clinical-exome sequencing unveils the genetic landscape of polycystic ovarian syndrome (PCOS) focusing on lean and obese phenotypes: implications for cost-effective diagnosis and personalized treatment

Contact Info

Product

Resources

About