The emerging role of the melatonin-cortisol axis: Bridging aging-related biomarkers to environment-driven aging research.

Xiong Chen, Dapeng Wang, Junyan Tao, Aihua Zhang

The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Department of Toxicology, Guizhou Medical University, Guizhou 561113, China. Electronic address: [email protected] Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Department of Toxicology, Guizhou Medical University, Guizhou 561113, China. Electronic address: [email protected]. · pubmed

Paper

Abstract

The aging process is predominantly influenced by genetic and environmental factors. Environmental factors that accelerate biological aging, known as gerontogens, increase organismal vulnerability and susceptibility to disease, thereby elevating the risks of multiple aging-related disease onset and mortality. However, there is a notable deficiency in effective biomarkers for predicting aging-related phenotypes accelerated by gerontogens. Melatonin and cortisol serve as markers of the circadian system and are hormones that undergo significant alterations during the aging process. Imbalances in the melatonin-cortisol axis are closely linked to this aging process. This review summarizes the mediating effects and underlying mechanisms of melatonin-cortisol axis in gerontogen-induced aging, and discusses the feasibility of melatonin and cortisol as biomarkers for predicting aging-related phenotypes induced by gerontogens. This review evaluates the application value of melatonin and cortisol as biomarkers for the screening and risk assessment of potential gerontogens, as well as the intervention research of aging-related phenotypes induced by gerontogens.

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Research summary

The paper claims that melatonin and cortisol can serve as biomarkers for predicting aging-related phenotypes induced by environmental factors. This research is relevant as it explores the hormonal interactions that may influence the aging process and identifies potential biomarkers for assessing the impact of environmental gerontogens on aging.

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