Association analysis of LHCGR variants and polycystic ovary syndrome in Punjab: a case-control approach

Advancement in early diagnosis of polycystic ovary syndrome: biomarker-driven innovative diagnostic sensor

Polycystic ovary syndrome (PCOS) is a heterogeneous multifactorial endocrine disorder that affects one in five women around the globe. The pathology suggests a strong polygenic and epigenetic correlation, along with hormonal and metabolic dysfunction, but the exact etiology is still a mystery. The current diagnosis is mostly based on Rotterdam criteria, which resulted in a delayed diagnosis in most of the cases, leading to unbearable lifestyle complications and infertility. PCOS is not new; thus, constant efforts are made in the field of biomarker discovery and advanced diagnostic techniques. A plethora of research has enabled the identification of promising PCOS diagnostic biomarkers across hormonal, metabolic, genetic, and epigenetic domains. Not only biomarker identification, but the utilization of biosensing platforms also renders effective point-of-care diagnostic devices. Artificial intelligence also shows its power in modifying existing image-based analysis, even developing symptom-based prediction systems for the early diagnosis of this multifaceted disorder. This approach could affect the future management and treatment direction of PCOS, decreasing its severity and improving the reproductive life of women. The rationale of the current review is to identify the advancements in understanding the pathophysiology through biomarker discovery and the implementation of modern analytical techniques for the early diagnosis of PCOS.

Genetic association between LHCGR variants and polycystic ovary syndrome: a meta-analysis

BACKGROUND

The luteinizing hormone/choriogonadotropin receptor (LHCGR) is mapped at the 2p16.3 region, which was identified as a PCOS-susceptible locus in the first genome-wide association study (GWAS). Since then, several variants of LHCGR have been documented as susceptible loci for the development of PCOS, with striking differences due to diverse racial backgrounds. The present meta-analysis was conducted to unravel the association between LHCGR variants and PCOS.

METHODS

Databases such as PubMed, PCOSkb, and Google Scholar were extensively searched to gather the relevant articles. To determine the heterogeneity, I2 statistic was used followed by fixed effect and random effect models depending on the degree of heterogeneity present. Different genetic models were used to assess the association between LHCGR variants and the risk of PCOS.

RESULTS

Out of the six studied variants, the rs2293275 and rs12470652 did not show an association with PCOS among any genetic models. The rs13405728 showed an association with all models in the overall analysis and after stratification it was associated but only in Asians. Only the recessive and additive models were found to be significantly associated with PCOS for the rs4539842 variant in the overall analysis. The rs4953616 variant displays an association under all models with the Asian and Indian populations during sub-group analysis. For the rs7371084 variant, dominant and allele models exhibited an association with PCOS during overall and sub-group analysis; however, in later only the Asians were significantly associated.

CONCLUSIONS

The rs4953616 variant exhibited the risk of PCOS in Indians however served as protective against the risk in Asians. The variants rs13405728, rs4539842, and rs7371084 were found to be acting as a protective factor against the development of PCOS.

A case of familial partial lipodystrophy type 2 masquerading as Cushing syndrome: Explaining an atypical phenotype by whole-exome sequencing

Familial partial lipodystrophy type 2 is a rare disease, particularly when it is caused by nonclassical gene variants. A high index of suspicion is essential for a timely diagnosis. We present the case of a 32-year-old woman, referred to evaluation of a possible Cushing syndrome, which was clinically and biochemically ruled out. Yet, due to the finding of a rather abnormal fat distribution during physical examination, the diagnosis of lipodystrophy was cogitated. Whole-exome sequencing revealed a missense variant of exon 11 R582H of the gene encoding Laminin A (rs57830985,c.1745G>A, p.Arg582His). The patient presented some clinical and biochemical characteristics discordant with those previously reported in patients harboring other classical variants of this gene.

Pharmacogenomic of LH and its receptor: are we ready for clinical practice?

Luteinizing hormone (LH) is fundamental to support development and reproduction. It acts through a receptor expressed in the gonads, modulating mitogenic, anti-apoptotic, and steroidogenic signals. LH is also marketed as a drug for controlled ovarian stimulation (COS), where it is administered to women to support the action of follicle-stimulating hormone and can lead to specific responses, depending on the individual genetic background. These concepts underline the relevance of a pharmacogenetic approach to COS, in the attempt to optimize clinical outcomes and avoid adverse events. However, knowledge is currently limited by the paucity of clinical studies. This review aims to provide a comprehensive overview of LH and its receptor activity, starting from the description of their molecular pathways from in vitro studies. Data on LH action from in vivo studies were described, as well as the impact of LH and LH/choriogonadotropin (hCG) receptor genetic variants on folliculogenesis and its association with infertility or polycystic ovarian syndrome. Finally, evidence from clinical studies evaluating genetic polymorphisms in the context of assisted reproductive technology treatments and its implications for a pharmacogenomic approach were discussed.

Evaluating the impact of LHCGR gene polymorphism on polycystic ovary syndrome: a comprehensive meta-analysis and power assessment

Objective

Polycystic ovary syndrome (PCOS) is prevalent among reproductive-aged women and is categorized by hormonal imbalances, irregular menstrual cycles, and challenges with fertility. PCOS affects approximately 3.6% of women globally, with prevalence varying by region. The luteinizing hormone/choriogonadotropin receptor (LHCGR) gene, which encodes the LHCGR, has been implicated in PCOS pathophysiology. This study investigated the association between the LHCGR gene polymorphism rs2293275 and PCOS through a meta-analysis.

Material and Methods

An extensive literature review was carried out using Embase, PubMed, and Google Scholar databases to identify research studies exploring the association between LHCGR gene variants and PCOS. The review was conducted based on the PRISMA checklist. Eligible case-control studies from 2016 to 2024 were chosen based on predefined criteria. Quantitative data analysis was performed using MetaGenyo software, employing a significance threshold of p<0.05. Odds ratios (OR) and confidence intervals (CI) were calculated to evaluate the relationships. G*Power 3.1 software was employed for statistical power analysis to assess the study's strength. The meta-analysis explored the link between LHCGR gene variant rs2293275 and PCOS across diverse ethnic groups and genetic models.

Results

Analyzing data from 10 studies involving 1,431 PCOS cases and 1,317 controls, the findings revealed no significant associations in most genetic models: allele (OR: 0.89, 95% CI: 0.54-1.49), dominant (OR: 0.74, 95% CI: 0.47-1.18), recessive (OR: 0.80, 95% CI: 0.41-1.57), and over-dominant (OR: 1.13, 95% CI: 0.69-1.85). Subgroup analyses by ethnicity (Arabs, Asians, Caucasians) consistently showed no significant correlations, except a protective effect in Caucasians (OR: 0.57, 95% CI: 0.34-0.95) in the AA vs. aa comparison. Sensitivity analyses confirmed robustness, and there was no indication of publication bias. Power analysis validated adequate sample sizes, and protein-protein interaction networks underscored biological relevance.

Conclusion

The meta-analysis concluded that no significant connection was observed between the LHCGR gene variant rs2293275 and the risk of PCOS among different populations. This suggests a complexity in PCOS etiology and indicating that LHCGR may not be a significant genetic marker for PCOS. Future research should explore other genetic and environmental factors contributing to PCOS, emphasizing the importance of genetic and ethnic variability in such studies.

Structural changes in amide I and amide II regions of PCOS women analyzed by ATR-FTIR spectroscopy

The etiology of PCOS is complex and frequently mis or undiagnosed, which may enhance morbidity and reduce the quality of life. Attenuated total reflection- Fourier transform infrared (ATR-FTIR) spectroscopy examines the structural fingerprints of the biochemical compounds and can provide distinct FTIR spectra of the PCOS cases and controls. The present study recruited 61 PCOS cases and 38 control women. The student's t-test was used to compare BMI, WHR, and lipid profile. The FTIR spectral region was compared among both groups using the Mann-Whitney U test and multivariate analysis involved principal component analysis (PCA) and hierarchical cluster analysis (HCA). FTIR spectra of different phenotypes of PCOS were also analyzed using multivariate analysis. In univariate analysis, PCOS women had significantly higher WHR (p = 0.007), BMI (p = 0.04), triglycerides (p = 0.04), and VLDL (p = 0.02) than the controls. The spectral regions of amide I (1700-1600 cm-1) and amide II (1580-1480 cm-1), were significantly greater in the PCOS group than in the controls (p < 0.01 and p < 0.001, respectively). The PCA and HCA revealed a distinct molecular fingerprint for phenotype A (PCOM + OA + HA) and phenotype B (HA + OA). Our study postulated that the spectral regions of amide I and amide II can distinguish between PCOS cases and control women and it may be used for the diagnosis of cases.

Genetic and Epigenetic Landscape for Drug Development in Polycystic Ovary Syndrome

The treatment of polycystic ovary syndrome (PCOS) faces challenges as all known treatments are merely symptomatic. The US Food and Drug Administration has not approved any drug specifically for treating PCOS. As the significance of genetics and epigenetics rises in drug development, their pivotal insights have greatly enhanced the efficacy and success of drug target discovery and validation, offering promise for guiding the advancement of PCOS treatments. In this context, we outline the genetic and epigenetic advancement in PCOS, which provide novel insights into the pathogenesis of this complex disease. We also delve into the prospective method for harnessing genetic and epigenetic strategies to identify potential drug targets and ensure target safety. Additionally, we shed light on the preliminary evidence and distinctive challenges associated with gene and epigenetic therapies in the context of PCOS.

The melatonin receptor genes are linked and associated with the risk of polycystic ovary syndrome

Polycystic ovarian syndrome (PCOS) is a genetically complex disorder that involves the interplay of multiple genes and environmental factors. It is characterized by anovulation and irregular menses and is associated with type 2 diabetes. Neuroendocrine pathways and ovarian and adrenal dysfunctions are possibly implicated in the disorder pathogenesis. The melatonin system plays a role in PCOS. Melatonin receptors are expressed on the surface of ovarian granulosa cells, and variations in the melatonin receptor genes have been associated with increased risk of PCOS in both familial and sporadic cases. We have recently reported the association of variants in MTNR1A and MTNR1B genes with familial type 2 diabetes. In this study, we aimed to investigate whether MTNR1A and MTNR1B contribute to PCOS risk in peninsular families. In 212 Italian families phenotyped for PCOS, we amplified by microarray 14 variants in the MTNR1A gene and 6 variants in the MTNR1B gene and tested them for linkage and linkage disequilibrium with PCOS. We detected 4 variants in the MTNR1A gene and 2 variants in the MTNR1B gene significantly linked and/or in linkage disequilibrium with the risk of PCOS (P < 0.05). All variants are novel and have not been reported before with PCOS or any of its related phenotypes, except for 3 variants previously reported by us to confer risk for type 2 diabetes and 1 variant for type 2 diabetes-depression comorbidity. These findings implicate novel melatonin receptor genes' variants in the risk of PCOS with potential functional roles.

Significance of LHCGR polymorphisms in polycystic ovary syndrome: an association study

This study was conducted to analyze the association of Luteinizing Hormone/Choriogonadotropin Receptor (LHCGR) gene rs4953616 and rs7371084 polymorphisms with the risk of polycystic ovary syndrome (PCOS) in Punjab, India. A total of 823 women (443 PCOS cases and 380 healthy controls) were enrolled in the present study. The polymerase chain reaction-restriction fragment length polymorphism technique (PCR-RFLP) was used for genotyping. Anthropometric parameters, lipid and hormonal profiles, were compared between the two groups. Demographic features were compared using Mann Whitney U test while the Chi-square test and odds ratios (ORs) were used to assess the genetic association and risk towards PCOS, respectively. A one-way analysis of variance (ANOVA) test was employed to analyze the correlation of genotypes with baseline parameters in PCOS cases. A statistically significant difference was revealed in the genotypic and allelic frequencies of rs4953616 polymorphism between PCOS cases and controls (p = 0.01 and p = 0.004, respectively). The mutant genotype (TT), mutant allele (T), and recessive model of rs4953616 polymorphism conferred 1.77, 1.3, and 1.5 times risk towards PCOS, respectively. No significant distribution for genotypes and alleles was found for rs7371084 in both groups (p = 0.25 and p = 0.26, respectively). In addition to dyslipidemia, PCOS women also had significantly higher body mass index (BMI) and waist-to-hip ratio (WHR), testosterone (T), and luteinizing hormone (LH). Upon haplotype analysis, the TT haplotype was found to be significantly associated with the increased risk of PCOS. Our results demonstrated a significant role of LHCGR rs4953616 polymorphism in the development of PCOS.

Luteinizing Hormone/Human Chorionic Gonadotropin Receptor N312S Single-Nucleotide Polymorphism and Its Impact on Clinical and Reproductive Outcomes in Assisted Reproductive Technology: A Prospective Cohort Study

Objective The aim of this study was to determine the genotypic distribution of luteinizing hormone/human chorionic gonadotropin receptor (LHCGR) N312S single-nucleotide polymorphism (SNP) and to investigate its impact on clinical and reproductive outcomes in infertile Indian women undergoing assisted reproductive technology (ART). Study design and settings This was a prospective cohort study conducted at a tertiary care university hospital. Subjects and methods Infertile women aged between 21 and 40 years undergoing ART with an antagonist protocol were enrolled in this study. A 2-ml sample of peripheral venous blood was collected from each woman and genotyped for the LHCGR N312S SNP. Participants were divided into three groups based on their SNP: NN, NS, and SS. All subjects underwent controlled ovarian hyperstimulation (COH) through a gonadotropin-releasing hormone (GnRH) antagonist protocol and intracytoplasmic sperm injection (ICSI). Of the 140 women recruited based on selection criteria, 128 underwent embryo transfer. We compared the genotypic distribution of the LHCGR N312S SNP, baseline characteristics, clinical outcomes, and reproductive outcomes in ART among the three groups. Data were analyzed using IBM SPSS Statistics for Windows, Version 29 (Released 2022; IBM Corp., Armonk, New York, United States). The chi-square test and Fisher-Irwin test were employed to evaluate significant differences among the qualitative categorical variables. A p-value of less than 0.05 was considered statistically significant. Results Among the test subjects, 19.3% were homozygous for the LHCGR N312 SNP (NN group), 38.6% were heterozygous (NS group), and 42.1% were homozygous for the LHCGR S312 SNP (SS group). Baseline characteristics were similar among the three groups. In terms of ovarian reserve tests, significantly lower anti-Müllerian hormone (AMH) levels were observed in the SS group compared to the NS and NN groups (2.8 ± 2.1 vs. 3.2 ± 2.5 vs. 4.3 ± 3.3; p=0.03). No significant differences were observed in COH outcomes such as duration of stimulation, total gonadotropin requirement, oocyte yield, or the number of good-quality embryos among the three groups. The cumulative pregnancy rate (82.9% vs. 50.0% vs. 38.2%, p=0.0005), cumulative clinical pregnancy rate (78.8% vs. 44.7% vs. 34.5%, p = 0.0005), and cumulative live birth rate (50.0% vs. 20.2% vs. 20.0%, p=0.005) were significantly higher in the NN group than in the NS and SS groups. Conclusion The study's findings suggest that LHCGR N312 may help predict reproductive outcomes in ART, which may aid in providing better counseling to infertile couples. We need more studies on individualized/personalized COH using pharmacogenomics for follicle-stimulating hormone (FSH) and luteinizing hormone (LH) supplementation based on combined FSH and LH receptor SNP and to assess their effects on ART outcomes.