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Updated: May 21, 2026

Evaluation of Injury-induced Senescence and In Vivo Reprogramming in the Skeletal Muscle
Published on: October 26, 2017
Promises of reprogramming-induced rejuvenation
Daniel J Simpson1, Nida Arif2, Yossawat Suwanlikit3
1Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, USA; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Reprogramming-induced rejuvenation (RIR) can reverse cellular aging by resetting epigenetic markers without full dedifferentiation. This review explores RIR
Area of Science:
- Gerontology and Regenerative Medicine
- Epigenetics and Cellular Reprogramming
- Biotechnology and Therapeutic Development
Background:
- Cellular aging is a hallmark of many age-related diseases.
- Reprogramming-induced rejuvenation (RIR) offers a potential strategy to reverse aging.
- Current understanding of RIR mechanisms and applications is rapidly evolving.
Purpose of the Study:
- To review recent advancements in the molecular mechanisms of RIR.
- To examine novel technological approaches for implementing RIR.
- To discuss tissue-specific applications and future clinical translation challenges of RIR.
Main Methods:
- Review of current literature on reprogramming-induced rejuvenation.
- Analysis of molecular pathways and epigenetic responses involved in RIR.
- Evaluation of technological innovations in RIR delivery and factor identification.
- Assessment of tissue-specific functional restoration and clinical translation hurdles.
Main Results:
- RIR effectively reverses cellular aging markers across various tissues.
- New technologies like mRNA and CRISPRa enhance RIR modalities.
- Functional restoration observed in brain, liver, cardiovascular, and epithelial systems.
- Challenges remain in therapeutic window, mechanistic understanding, and biomarker standardization.
Conclusions:
- RIR shows significant promise for treating age-related diseases.
- Advancements in technology and mechanistic understanding are crucial for clinical translation.
- Future research directions include single-cell technologies and computational tools for RIR optimization.
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