Prevention, diagnosis, and understanding mechanisms of metabolic diseases using systems biology

Bhavani, Peddayelachagiri Venkataswamachari and Vinutha, B. and Basavaiah, Renuka and Borse, Babasaheb Bhaskarrao (2024) Prevention, diagnosis, and understanding mechanisms of metabolic diseases using systems biology. In: Systems Biology Approaches: Prevention, Diagnosis, and Understanding Mechanisms of Complex Diseases. Springer Nature, 561 - 588. ISBN 9789819994618; 9789819994625

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Abstract

Human metabolic diseases are typically network diseases. These diseases including cardiovascular diseases (CVDs), type 2 diabetes (T2D), obesity, diseases of kidney, liver, intestine, and neurological disorders to name a few. These metabolic diseases are noted as one of the most serious hazards to global health. Clearly, progress in multifactorial metabolic diseases requires an understanding of the control and regulation of the underlying metabolic networks. This could be achieved by application of systems biology as it offers powerful abstraction tools to simulate all known metabolic reactions in a cell, therefore providing a snapshot that is close to its observable phenotype. Collecting valuable information out of systems biology approach is a vital preventive measure, allowing us to remain one step ahead of this vicious condition. A systems biology approach to understand the metabolism in these organs will enable one to leverage recent advances in computational technology and methods to integrate diverse sets of data. Coupled with state-of-the-art machine learning methods, this will allow characterizing each patient's disease phenotype and delivering precision medicine solutions, therefore, leading to early diagnosis, preventative medicine, reduced treatment, and management of the diseases. With this background, recent developments in the application of systems biology will be discussed with specific relevance to diagnosis, treatment, prevention, and management. © 2024 Elsevier B.V., All rights reserved.

Item Type:	Book Section
Uncontrolled Keywords:	Cardiovascular disease; Diabetes; Metabolic diseases; Multi-organ disease; Nervous system; Obesity; System biology
Subjects:	500 Natural Sciences and Mathematics > 07 Life Sciences > 01 Biology 600 Technology > 01 Medical sciences
Divisions:	Plantation Products Spices and Flavour Technology
Depositing User:	Mr Pravi Raj
Date Deposited:	10 Dec 2025 11:42
Last Modified:	10 Dec 2025 11:42
URI:	http://ir.cftri.res.in/id/eprint/19972

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