Title:Next-generation Approaches in Targeting Polycystic Ovarian
Syndrome: Innovative Strategies
Volume: 33
Issue: 1
Author(s): Pavithra Lakshmi Narayanan, Subalakshmi Sugumar, Rapura Rushendran and Chitra Vellapandian*
Affiliation:
- Department of Pharmacology, SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur,
603203, Chengalpattu District, Tamil Nadu, India
Keywords:
Bioinformatics, innovative research, machine learning, polycystic ovarian syndrome, therapeutic strategies, molecular docking.
Abstract: Polycystic Ovary Syndrome (PCOS) is a complex endocrine disorder that affects
millions of women worldwide and is characterized by ovarian dysfunction, hyperandrogenism,
and metabolic abnormalities. The traditional diagnostic and therapeutic
approaches often fail to address the multifaceted nature of PCOS. Recent advancements
in next-generation sequencing (NGS), bioinformatics, and precision medicine have
paved the way for innovative research and therapeutic strategies that promise to revolutionize
PCOS management. This review focuses on exploring the genetic and molecular
mechanisms of PCOS using innovative methodologies, such as genome-wide association
studies (GWAS), transcriptomics, and computational approaches. Integrating big data
analytics and machine learning algorithms enhances the predictive accuracy of PCOS
diagnoses and treatment outcomes. In addition, the emergence of personalized medicine
has enabled tailored therapeutic interventions based on individual genetic profiles and
phenotypic expression. Furthermore, we explored the development of novel pharmacological
agents and combinational therapies to enhance the understanding of PCOS pathophysiology.
These approaches also focus on reducing inflammation, improving insulin
sensitivity, and optimizing hormonal balance to achieve optimal health outcomes. The
potential of digital health tools, including mobile applications and wearable technologies,
to support self-monitoring and patient engagement in PCOS management is also
highlighted. In conclusion, the integration of next-generation technologies and innovative
research is necessary to transform the field of PCOS diagnosis and treatment, offering
hope for more effective and individualized care. These underscore the importance of
continued investment in advanced research methodologies and the adoption of personalized
therapeutic strategies to address the complexities of PCOS.
