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Review Article | OPEN ACCESS

Evolving landscape of obesity from genetic predisposition to public health intervention

Uzma Asif ,

Department of Biochemistry, Medicine Program, Batterjee Medical College, Jeddah, 21442, Saudi Arabia;

For correspondence:-     Email: uzma.aasif1@gmail.com   Tel:+966565299124

Received: 22 February 2025        Accepted: 22 August 2025        Published: 31 August 2025

Citation: Asif U, Evolving landscape of obesity from genetic predisposition to public health intervention. Trop J Pharm Res 2025; 24(8):1057-1067 doi: https://dx.doi.org/10.4314/tjpr.v24i8.11

© 2025 The authors.
This is an Open Access article that uses a funding model which does not charge readers or their institutions for access and distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0) and the Budapest Open Access Initiative (http://www.budapestopenaccessinitiative.org/read), which permit unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited..

Abstract

Obesity is a global problem affecting billions of people worldwide and has increased substantially across the world. Researchers are trying to figure out its causes and possible interventions to control this problem. This review explores the genetic factors contributing to obesity, discusses challenges and treatment options associated with this condition, and provides a multidisciplinary perspective on this complex problem by thoroughly assessing genetic insights, challenges and therapeutic options associated with obesity. Furthermore, this review aims to support current techniques and advancements to combat obesity by improving the multimodal disease burden on society and healthcare. By understanding the various facets of this condition, it is possible to work towards developing effective solutions and improving the health of individuals worldwide.

Keywords: Obesity, Genes, Complications, Fat mass and obesity-associated gene (FTO), Proopiomelanocortin (POMC)

Impact Factor
Thompson Reuters (ISI): 0.6 (2023)
H-5 index (Google Scholar): 49 (2023)

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