| Literature DB >> 35327342 |
Himani Nautiyal1, Syed Sarim Imam2, Sultan Alshehri2, Mohammed M Ghoneim3, Muhammad Afzal4, Sami I Alzarea4, Emine Güven5, Fahad A Al-Abbasi6, Imran Kazmi6.
Abstract
Polycystic ovarian syndrome (PCOS) is a complex endocrine disorder affecting females in their reproductive age. The early diagnosis of PCOS is complicated and complex due to overlapping symptoms of this disease. The most accepted diagnostic approach today is the Rotterdam Consensus (2003), which supports the positive diagnosis of PCOS when patients present two out of the following three symptoms: biochemical and clinical signs of hyperandrogenism, oligo, and anovulation, also polycystic ovarian morphology on sonography. Genetic variance, epigenetic changes, and disturbed lifestyle lead to the development of pathophysiological disturbances, which include hyperandrogenism, insulin resistance, and chronic inflammation in PCOS females. At the molecular level, different proteins and molecular and signaling pathways are involved in disease progression, which leads to the failure of a single genetic diagnostic approach. The genetic approach to elucidate the mechanism of pathogenesis of PCOS was recently developed, whereby four phenotypic variances of PCOS categorize PCOS patients into classic, ovulatory, and non-hyperandrogenic types. Genetic studies help to identify the root cause for the development of this PCOS. PCOS genetic inheritance is autosomal dominant but the latest investigations revealed it as a multigene origin disease. Different genetic loci and specific genes have been identified so far as being associated with this disease. Genome-wide association studies (GWAS) and related genetic studies have changed the scenario for the diagnosis and treatment of this reproductive and metabolic condition known as PCOS. This review article briefly discusses different genes associated directly or indirectly with disease development and progression.Entities:
Keywords: biochemical; hyperandrogenism; multigene; ovulatory; polycystic
Year: 2022 PMID: 35327342 PMCID: PMC8945152 DOI: 10.3390/biomedicines10030540
Source DB: PubMed Journal: Biomedicines ISSN: 2227-9059
Diagnostic Criteria for PCOS.
| S.N | Diagnosis Criteria | Symptoms | Recommendations |
|---|---|---|---|
| 1. | National Institute of Health (1990) |
Biochemical and clinical signs of hyperandrogenism Chronic anovulation | Both criteria are required |
| 2. | Rotterdam Consensus (2003) |
Biochemical and clinical signs of hyperandrogenism Oligo and anovulation Polycystic ovaries morphology | Two of three criteria required |
| 3. | Androgen Excess Society (2006) |
Biochemical and clinical signs of hyperandrogenism Ovarian dysfunction (oligo anovulation, polycystic ovaries morphology) | Both criteria required |
Figure 1Diagrammatic Representation of Polycystic Ovary Syndrome.
Figure 2(a) Pathophysiologic features of polycystic ovary syndrome. PCOS is a multifactorial disorder that develops due to the combined effects of impaired genetic, epigenetic, and lifestyle factors. All these factors lead to disturbed pathophysiology (insulin resistance, hyperandrogenism, and low grade inflammation, which further result in complex symptoms of PCOS (Clinical, Reproductive, Metabolic, and Psychological). (b) Genetic influences and complications of polycystic ovarian syndrome. Different genetic polymorphism influences the pathophysiology of PCOS. Genetic influence alters different hormonal levels—androgen, insulin, AMH, SHBG, LH, FSH, testosterone, and different other hormonal levels, which further contribute to disease progression.
Phenotypic Difference Based on Diagnostic Criteria. - explains the difference in phenotype symptoms based on diagnostic criteria.
| Phenotype | Hyperandrogenism | Chronic Anovulation | Polycystic Ovaries | NIH 1990 | Rotterdam | AE-PCOS 2006 |
|---|---|---|---|---|---|---|
| Phenotype A | Yes | Yes | Yes | - | - | - |
| Phenotype B | Yes | Yes | No | - | - | - |
| Phenotype C | Yes | No | Yes | - | - | |
| Phenotype D | No | Yes | Yes | - |
Single Nucleotide Polymorphism Identified by Different GWAS Studies in Women.
| S.N | Diagnostic Criteria | Gene Locus | SNPs | Nearest Gene | Study |
|---|---|---|---|---|---|
| 1. | Rotterdam | 2p16.3 | rs13405728 | LHCGHR | Chen et al., 2011 [ |
| 2p21 | rs12468394 | ||||
| rs13429458 | THADA | ||||
| rs12478601 | |||||
| 9q33.3 | rs10818854 | DENND1A | |||
| rs10986105 | |||||
| rs24779106 | |||||
| 2. | NIH | 8p32.1 | rs804279 | NEIL2, GATA4 | Hayes et al., 2015 [ |
| 9q22.32 | rs10993397 | C9orf3 | |||
| 11p14.1 | rs11031006 | ARL14EP, FSHB | |||
| 3 | Rotterdam | 12p12.2 | rs10841843 | GYS2 | Hwang et al., 2012 [ |
| rs6487237 | |||||
| rs7485509 | |||||
| 4 | NIH | 2q.34 | rs1351592 | ERBB4 | Day et at., 2015 [ |
| 11q22.1 | rs11225154 | YAP1 | |||
| 2q21 | rs7563201 | THADA | |||
| 11p14.1 | rs11031006 | FSHB | |||
| 5q31.1 | rs13164856 | RAD50 | |||
| 12q21.2 | rs1275468 | KRR1 | |||
| 5. | Rotterdam | 8q24.2 | rs10505648 | KHDRBS3 | Lee et al., 2012 [ |
Different Genes Involved in Pathogenesis of PCOS.
| S.N | Different Gene Categories Involved in PCOS | Genes under Categories |
|---|---|---|
| 1. | Genes involved in ovarian and adrenal steroidogenesis |
CYP19 CYP17 CYP21 CYP11a |
| 2. | Epigenetics of PCOS |
NCOR1 PPARG1 |
| 3. | Gene involved in insulin action and secretion |
CAPN10 IRS-1 IRS-2 INS INS |
| 4. | Gene involved in steroid hormone effect |
AR SHBG |
| 5. | Gene involved in gonadotropin |
LH AMH FSHR |
| 6. | Other genes |
FTO PCO SRD5A SRD5B |
Polymorphism Associated with Calpain 10 gene.
| S.N | Gene | Type of Polymorphism | Genetic Marker | Physiological Function | Type of Study with Study Population | Reference |
|---|---|---|---|---|---|---|
| 1 | C | UCSNP-43 | UCSNP-43, 19 and 63 | Calcium medium, intracellular signaling, insulin secretion | Case control study on Chilean women | [ |
| 2 | UCSNP43 | UCSNP-43, 19 and 63 | Cross sectional study on Brazilian women | [ | ||
| 3 | UCSNP44 | CAPN10 haplotypes | Haplotype phenotype correlation study on Spanish women | [ | ||
| 4 | UCSNP-19,45, and 63 | SNPs | Meta-analysis on Asian women | [ | ||
| 5 | UCSNP-19, 43, and 44 | UCSNP-19, 43, 44 and 63 | Cross sectional study on Spanish women | [ | ||
| 6 | UCSNP-19,63 | UCSNP-19, 63, 43 and 44 | Meta-analysis Different population | [ | ||
| 7 | - | UCSNP-43, rs 3792267 | Case control on Indian women | [ |