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Effect of Environmental and Occupational Exposures on Human Telomere Length and Aging: A Review

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Innovations in Bio-Inspired Computing and Applications (IBICA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1180))

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Abstract

Today’s hectic and demanding lifestyle leaves no time for anyone to focus on the personal health aspects which in the long run is hazardous to one’s health. Environmental and occupational stresses are found to play a specific role in aging process. The purpose of this review is to highlight the role of telomeres as a possible biomarker of aging and to identify the potential exposures causing telomere length attrition. Better choice of these exposures can further help to increase lifespan. This paper reviews the published data on the effect of various work environment exposures on telomere length attrition. It also discusses future directions for telomere length related research.

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Authors and Affiliations

  1. Department of Life Sciences, University of Mumbai, Santacruz (E), Mumbai, 400 098, India

    Jasbir Kaur Chandani, Niketa Gandhi & Sanjay Deshmukh

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  1. Jasbir Kaur Chandani
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  2. Niketa Gandhi
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  3. Sanjay Deshmukh
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Correspondence to Sanjay Deshmukh .

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Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR), Auburn, WA, USA

    Ajith Abraham

  2. Utkal University, Bhubaneswar, Odisha, India

    Mrutyunjaya Panda

  3. Department of Electronics Engineering, GIET University, Gunupur, Odisha, India

    Subhrajit Pradhan

  4. Area of Project Engineering, University of Cordoba, Córdoba, Córdoba, Spain

    Laura Garcia-Hernandez

  5. School of Information Science and Engineering, University of Jinan, Jinan, Shandong, China

    Kun Ma

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Chandani, J.K., Gandhi, N., Deshmukh, S. (2021). Effect of Environmental and Occupational Exposures on Human Telomere Length and Aging: A Review. In: Abraham, A., Panda, M., Pradhan, S., Garcia-Hernandez, L., Ma, K. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2019. Advances in Intelligent Systems and Computing, vol 1180. Springer, Cham. https://doi.org/10.1007/978-3-030-49339-4_13

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