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Beneficial Effects of Low-Grade Mitochondrial Stress on Metabolic Diseases and Aging

Se Hee Min, Gil Myoung Kang, Jae-Woo Park, Min‐Seon Kim

Yonsei Medical Journal · 2024 · ▲ 19 citations

Abstract

Mitochondria function as platforms for bioenergetics, nutrient metabolism, intracellular signaling, innate immunity regulators, and modulators of stem cell activity. Thus, the decline in mitochondrial functions causes or correlates with diabetes mellitus and many aging-related diseases. Upon stress or damage, the mitochondria elicit a series of adaptive responses to overcome stress and restore their structural integrity and functional homeostasis. These adaptive responses to low-level or transient mitochondrial stress promote health and resilience to upcoming stress. Beneficial effects of low-grade mitochondrial stress, termed mitohormesis, have been observed in various organisms, including mammals. Accumulated evidence indicates that treatments boosting mitohormesis have therapeutic potential in various human diseases accompanied by mitochondrial stress. Here, we review multiple cellular signaling pathways and interorgan communication mechanisms through which mitochondrial stress leads to advantageous outcomes. We also discuss the relevance of mitohormesis in obesity, diabetes, metabolic liver disease, aging, and exercise.

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Provenance

Source
OpenAlex
DOI
10.3349/ymj.2023.0131
Canonical
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Fetched
2026-10-05 MST

Cite this

APA
Min, S.H., Kang, G.M., Park, J., &amp; Kim, M. (2024). Beneficial Effects of Low-Grade Mitochondrial Stress on Metabolic Diseases and Aging. <em>Yonsei Medical Journal</em>. https://doi.org/10.3349/ymj.2023.0131
Vancouver
Min SH, Kang GM, Park J, Kim M. Beneficial Effects of Low-Grade Mitochondrial Stress on Metabolic Diseases and Aging. Yonsei Medical Journal. 2024. doi:10.3349/ymj.2023.0131.
BibTeX
@article{se2024Benefi, title = {Beneficial Effects of Low-Grade Mitochondrial Stress on Metabolic Diseases and Aging}, author = {Se Hee Min and Gil Myoung Kang and Jae-Woo Park and Min‐Seon Kim}, journal = {Yonsei Medical Journal}, year = {2024}, doi = {10.3349/ymj.2023.0131}, }

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