E-ISSN 2231-3206 | ISSN 2320-4672
 

Review Article

Online Publishing Date:
25 / 04 / 2024

 


Metabolomics approach for the etiopathogenesis of polycystic ovarian syndrome

Sukanti Bhattacharyya, Sukumar Barik, Siddhartha Gupta, Sudarsan Saha, Madhuri Mandal Goswami, Utpal Goswami, Samashaptak.


Abstract
Polycystic ovary syndrome (PCOS) is a complex and multifaceted disorder that has been extensively studied from various angles, including genomics, metabolomics, and other multiomics approaches. This narrative review seeks to provide an updated understanding of PCOS, with a particular focus on metabolomics. PCOS encompasses four primary phenotypes: Classic PCOS with or without polycystic ovary morphology, ovulatory PCOS, and non-hyperandrogenic PCOS. Each phenotype exhibits distinct clinical and biochemical characteristics. Classic PCOS, characterized by hyperinsulinemia, insulin resistance (IR), and metabolic complications, has garnered significant attention in recent studies. In the pursuit of unraveling PCOS’s pathophysiology, researchers have embraced a multiomics approach, exploring the genome, epigenome, transcriptome, exosomes, proteome, and metabolome. The genomic landscape of PCOS includes genes related to androgen synthesis, regulation, insulin receptors, and growth factors, among others. Epigenetic mechanisms have also been investigated, revealing the roles of non-coding RNA, histone acetylation, and deacetylation. Transcriptomic biomarkers and mitochondrial RNAs targets, such as miR-9 and miR-32, have been explored in granulosa cells of PCOS patients. Metabolomics studies have identified various biomarkers and metabolic pathways that differentiate PCOS from healthy individuals. A diverse range of alterations in carbohydrate and lipid metabolism has been observed, shedding light on the underpinnings of PCOS-related metabolic dysfunction. These studies have uncovered numerous biomolecules with potential relevance to PCOS, including kininogen 1, cytoketatin 9, and many others. In addition, the intricate relationships between IR, inflammation, and metabolic factors have been elucidated. Recent research extends beyond high-end research centers, even using urine samples to identify metabolomic markers for PCOS. This approach has led to the discovery of distinct biomarker panels related to metabolic pathways that differentiate PCOS from healthy subjects. In summary, PCOS is a complex and heterogeneous condition, with multiomics studies offering promising avenues for a deeper understanding of its pathophysiology. These studies may ultimately provide valuable insights that can revolutionize the diagnosis and treatment of PCOS, ending a centurylong scientific expedition with a crescendo of discoveries.

Key words: Metabolomics; Multiomics; Polycystic Ovary Syndrome


 
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How to Cite this Article
Pubmed Style

Bhattacharyya S, Barik S, Gupta S, Saha S, Goswami MM, Goswami U, Samashaptak . Metabolomics approach for the etiopathogenesis of polycystic ovarian syndrome. Natl J Physiol Pharm Pharmacol. Online First: 25 Apr, 2024. doi:10.5455/njppp.2024.14.04160202419042024


Web Style

Bhattacharyya S, Barik S, Gupta S, Saha S, Goswami MM, Goswami U, Samashaptak . Metabolomics approach for the etiopathogenesis of polycystic ovarian syndrome. https://www.njppp.com/?mno=197013 [Access: April 28, 2024]. doi:10.5455/njppp.2024.14.04160202419042024


AMA (American Medical Association) Style

Bhattacharyya S, Barik S, Gupta S, Saha S, Goswami MM, Goswami U, Samashaptak . Metabolomics approach for the etiopathogenesis of polycystic ovarian syndrome. Natl J Physiol Pharm Pharmacol. Online First: 25 Apr, 2024. doi:10.5455/njppp.2024.14.04160202419042024



Vancouver/ICMJE Style

Bhattacharyya S, Barik S, Gupta S, Saha S, Goswami MM, Goswami U, Samashaptak . Metabolomics approach for the etiopathogenesis of polycystic ovarian syndrome. Natl J Physiol Pharm Pharmacol, [cited April 28, 2024]; Online First: 25 Apr, 2024. doi:10.5455/njppp.2024.14.04160202419042024



Harvard Style

Bhattacharyya, S., Barik, . S., Gupta, . S., Saha, . S., Goswami, . M. M., Goswami, . U. & Samashaptak, . (2024) Metabolomics approach for the etiopathogenesis of polycystic ovarian syndrome. Natl J Physiol Pharm Pharmacol, Online First: 25 Apr, 2024. doi:10.5455/njppp.2024.14.04160202419042024



Turabian Style

Bhattacharyya, Sukanti, Sukumar Barik, Siddhartha Gupta, Sudarsan Saha, Madhuri Mandal Goswami, Utpal Goswami, and Samashaptak. 2024. Metabolomics approach for the etiopathogenesis of polycystic ovarian syndrome. National Journal of Physiology, Pharmacy and Pharmacology, Online First: 25 Apr, 2024. doi:10.5455/njppp.2024.14.04160202419042024



Chicago Style

Bhattacharyya, Sukanti, Sukumar Barik, Siddhartha Gupta, Sudarsan Saha, Madhuri Mandal Goswami, Utpal Goswami, and Samashaptak. "Metabolomics approach for the etiopathogenesis of polycystic ovarian syndrome." National Journal of Physiology, Pharmacy and Pharmacology Online First: 25 Apr, 2024. doi:10.5455/njppp.2024.14.04160202419042024



MLA (The Modern Language Association) Style

Bhattacharyya, Sukanti, Sukumar Barik, Siddhartha Gupta, Sudarsan Saha, Madhuri Mandal Goswami, Utpal Goswami, and Samashaptak. "Metabolomics approach for the etiopathogenesis of polycystic ovarian syndrome." National Journal of Physiology, Pharmacy and Pharmacology Online First: 25 Apr, 2024. Web. 28 Apr 2024 doi:10.5455/njppp.2024.14.04160202419042024



APA (American Psychological Association) Style

Bhattacharyya, S., Barik, . S., Gupta, . S., Saha, . S., Goswami, . M. M., Goswami, . U. & Samashaptak, . (2024) Metabolomics approach for the etiopathogenesis of polycystic ovarian syndrome. National Journal of Physiology, Pharmacy and Pharmacology, Online First: 25 Apr, 2024. doi:10.5455/njppp.2024.14.04160202419042024