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Targeting NAD Metabolism for the Therapy of Age-Related Neurodegenerative Diseases

Feifei Li, Chou Wu, Gelin Wang

Neuroscience Bulletin · 2023 · ▲ 28 citations

Abstract

As the aging population continues to grow rapidly, age-related diseases are becoming an increasing burden on the healthcare system and a major concern for the well-being of elderly individuals. While aging is an inevitable process for all humans, it can be slowed down and age-related diseases can be treated or alleviated. Nicotinamide adenine dinucleotide (NAD) is a critical coenzyme or cofactor that plays a central role in metabolism and is involved in various cellular processes including the maintenance of metabolic homeostasis, post-translational protein modifications, DNA repair, and immune responses. As individuals age, their NAD levels decline, and this decrease has been suggested to be a contributing factor to the development of numerous age-related diseases, such as cancer, diabetes, cardiovascular diseases, and neurodegenerative diseases. In pursuit of healthy aging, researchers have investigated approaches to boost or maintain NAD levels. Here, we provide an overview of NAD metabolism and the role of NAD in age-related diseases and summarize recent progress in the development of strategies that target NAD metabolism for the treatment of age-related diseases, particularly neurodegenerative diseases.

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Provenance

Source
OpenAlex
DOI
10.1007/s12264-023-01072-3
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2026-06-16 MST

Cite this

APA
Li, F., Wu, C., &amp; Wang, G. (2023). Targeting NAD Metabolism for the Therapy of Age-Related Neurodegenerative Diseases. <em>Neuroscience Bulletin</em>. https://doi.org/10.1007/s12264-023-01072-3
Vancouver
Li F, Wu C, Wang G. Targeting NAD Metabolism for the Therapy of Age-Related Neurodegenerative Diseases. Neuroscience Bulletin. 2023. doi:10.1007/s12264-023-01072-3.
BibTeX
@article{feifei2023Target, title = {Targeting NAD Metabolism for the Therapy of Age-Related Neurodegenerative Diseases}, author = {Feifei Li and Chou Wu and Gelin Wang}, journal = {Neuroscience Bulletin}, year = {2023}, doi = {10.1007/s12264-023-01072-3}, }

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