Adult endogenous dopaminergic neuroregeneration against parkinson’s disease: Ideal animal models?

Vijayanathan, Yuganthini and Lim, Siong Meng and Tan, Maw Pin and Lim, Fei Ting and Majeed, Abu Bakar Abdul and Ramasamy, Kalavathy (2021) Adult endogenous dopaminergic neuroregeneration against parkinson’s disease: Ideal animal models? Neurotoxicity Research, 39 (2). pp. 504-532. ISSN 1029-8428, DOI

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Parkinson's disease (PD) is the second most common neurodegenerative disease. The etiology of PD remains an enigma with no available disease modifying treatment or cure. Pharmacological compensation is the only quality of life improving treatments available. Endogenous dopaminergic neuroregeneration has recently been considered a plausible therapeutic strategy for PD. However, researchers have to first decipher the complexity of adult endogenous neuroregeneration. This raises the need of animal models to understand the underlying molecular basis. Mammalian models with highly conserved genetic homology might aid researchers to identify specific molecular mechanisms. However, the scarcity of adult neuroregeneration potential in mammals obfuscates such investigations. Nowadays, non-mammalian models are gaining popularity due to their explicit ability to neuroregenerate naturally without the need of external enhancements, yet these non-mammals have a much diverse gene homology that critical molecular signals might not be conserved across species. The present review highlights the advantages and disadvantages of both mammalian and non-mammalian animal models that can be essentially used to study the potential of endogenous DpN regeneration against PD.

Item Type: Article
Uncontrolled Keywords: Parkinson’s disease; Endogenous neuroregeneration; Dopaminergic neurons; Mammalian models; Non-mammalian models
Subjects: R Medicine > R Medicine (General)
R Medicine > R Medicine (General) > Medical technology
Divisions: Faculty of Medicine > School of Medicine
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 16 Feb 2022 07:50
Last Modified: 16 Feb 2022 07:50

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