Exploring Piperine as a Potential Treatment for Polycystic Ovarian Syndrome: Insights from In-silico Docking Studies

Author:

Francis Rahul1,Kalyanaraman Ramanathan1,Boominathan Vasuki1,Parthasarathy Sudharsan2,Chavaan Ashajyothi3,Ansari Irfan Aamer4,Ansari Siddique Akber5,Alkahtani Hamad M5,Chandran Janani1,Tharumasivam Siva Vijayakumar6

Affiliation:

1. Srimad Andavan Arts and Science College (Autonomous)

2. Nagaland University

3. Vijayanagara Sri Krishnadevaraya University

4. University of Turin

5. King Saud University

6. Dhanalakshmi Srinivasan University

Abstract

Abstract

Polycystic Ovarian Syndrome (PCOS) is a multifaceted metabolic and hormonal condition that impacts women in their procreative ages, identified by ovarian dysfunction, hyperandrogenaemiaoverweight and insulin insensitivity.The piperine, an important alkaloid compound of black pepper has shown promise in modulating various physiological processes. In this work, employed computational docking studies to explore the potential of piperine as a treatment for PCOS. Utilizing computational methods, we analyzed the binding interactions between piperine and key molecular targets implicated in PCOS pathogenesis, including hyperandrogenism, and "oligomenorrhea. The network pharmacology analysis report found 988 PCOS-related genes, 108 hyperandrogenism-related genes, and 377 oligomenorrhea-related genes, and we finally shortlisted 5 common genes in PCOS, hyperandrogenism, and "oligomenorrhea": NR3C1, PPARG, FOS, CYP17A1, and H6PD. Our results reveal favorable binding affinities with PPARG (-8.34 Kcal/mol) and H6PD (-8.70 Kcal/mol) and interaction patterns, suggesting the potential of piperine to modulate these targets. Moreover, the reliabilityof the piperine-target interactions was revealed by molecular simulations studies. These findings support further experimental investigations to validate the therapeutic efficacy of piperine in PCOS management. The integration of computational approaches withexperimental studies has the potential to lay the groundwork for the creation of new therapies specifically targeting PCOS and related endocrine disorders.

Publisher

Research Square Platform LLC

Reference51 articles.

1. Bozdag G,et al. The prevalence and phenotypic features of polycystic ovary syndrome: a systematic review and meta-analysis. Hum. Reprod. Open. 1;31(12):2841-55 (2016).

2. Polycystic ovary syndrome;Azziz R;Nat. Rev. Dis. Primers,2016

3. Al Wattar BH, et al. Clinical practice guidelines on the diagnosis and management of polycystic ovary syndrome: a systematic review and quality assessment study. The J Clin Endocrinol Metab.. 1;106(8):2436-46 (2021).

4. Tiwari A, et al. Network pharmacology-based strategic prediction and target identification of apocarotenoids and carotenoids from standardized Kashmir saffron (Crocus sativus L.) extract against polycystic ovary syndrome. Medicine. 11;102(32):e34514 (2023).

5. Daniel N, et al. Phytochemical, cytotoxicity and antioxidant activities of the stem bark of Piper arborescens. MJFAS. 1;13(4):840-5 (2017).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3