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Hormesis, cell death, and regenerative medicine for neurodegenerative diseases

  • Guanghu Wang(corresponding author)
*Corresponding author for this work
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

Although the adult human brain has a small number of neural stem cells, they are insufficient to repair the damaged brain to achieve significant functional recovery for neurodegenerative diseases and stroke. Stem cell therapy, by either enhancing endogenous neurogenesis, or transplanting stem cells, has been regarded as a promising solution. However, the harsh environment of the diseased brain posts a severe threat to the survival and correct differentiation of those new stem cells. Hormesis (or preconditioning, stress adaptation) is an adaptation mechanism by which cells or organisms are potentiated to survive an otherwise lethal condition, such as the harsh oxidative stress in the stroke brain. Stem cells treated by low levels of chemical, physical, or pharmacological stimuli have been shown to survive better in the neurodegenerative brain. Thus combining hormesis and stem cell therapy might improve the outcome for treatment of these diseases. In addition, since the cell death patterns and their underlying molecular mechanism may vary in different neurodegenerative diseases, even in different progression stages of the same disease, it is essential to design a suitable and optimum hormetic strategy that is tailored to the individual patient.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 238-254 (17 pages)

Journal (Volume, Issue Number)

Dose-Response (Volume 11, Issue 2)

Publication milestones

  • Published - 2013

Publication status

Published - 2013

ISSN

1559-3258

Publication IDs

  • Scopus: 84878855816
  • PubMed: 23930104

Publication metrics

Metrics

SciVal
FWCI
0.41
SciVal
Author count
1
SciVal
citations
7
SciVal
Paper percentile
60
Fractional count
1
Fractional count
1
Fractional count
1
Fractional count
1
Scopus
citations

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