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Title

A systematic review on the association of metabolic syndrome with telomere length and telomerase activity

 

Authors

Ipsita Dash1, Bibhu Prasad Behera2, Gaurav Gupta3, Om Padarabinda Dash4, Pratima Kumari Sahu1,*

 

Affiliation

1Department of Biochemistry, Sahed Rendo Majhi Medical College, Kalahandi, Odisha, India; 2Department of Internal Medicine, Saheed Rendo Majhi Medical College, Kalahandi, Odisha, India; 3Department of Pediatrics, All India Institute of Medical Sciences, Guwahati, Assam, India; 4Department of Pulmonary Medicine, Sahed Rendo Majhi Medical College, Kalahandi, Odisha, India; *Corresponding author

 

Email

Ipsita Dash - E-mail: ipsitadash71@gmail.com
Bibhu Prasad Behera - E-mail: drbibhu1111@yahoo.com

Gaurav Gupta - E-mail: drgaurav.amu@gmail.com Om

Padarabinda Dash - E-mail: drompadarabindadash@gmail.com
Pratima Kumari Sahu - E-mail: sahoopratema@rediffmail.com

 

Article Type

Review

 

Date

Received September 1, 2025; Revised September 30, 2025; Accepted September 30, 2025, Published September 30, 2025

 

Abstract

Metabolic syndrome (MetS) is a cluster of conditions that increases the risk of cardiovascular disease and type 2 diabetes and has been linked to accelerate cellular aging. MetS participants exhibited shorter telomeres and disrupted telomerase activity, suggesting increased biological aging. Lifestyle interventions, particularly high-intensity interval training (HIIT) and mindfulness practices, were associated with telomere elongation and improved telomerase activity, whereas pharmacological approaches showed inconsistent results. Thus, we show the protective role of lifestyle modification, large-scale randomized controlled trials across diverse populations are needed to validate long-term benefits on cellular aging and disease outcomes.

 

Keywords

Metabolic syndrome, telomere length, telomerase activity, cellular aging, oxidative stress, biomarkers

 

Citation

Dash et al. Bioinformation 21(9): 3047-3050 (2025)

 

Edited by

A Prashanth

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.