Literature DB >> 35040399

Drosophila: A Model to Study the Pathogenesis of Parkinson's Disease.

Yasir Hasan Siddique1.   

Abstract

Human Central Nervous System (CNS) is the complex part of the human body, which regulates multiple cellular and molecular events taking place simultaneously. Parkinsons Disease (PD) is the second most common neurodegenerative disease after Alzheimer's disease (AD). The pathological hallmarks of PD are loss of dopaminergic neurons in the substantianigra (SN) pars compacta (SNpc) and accumulation of misfolded α-synuclein, in intra-cytoplasmic inclusions called Lewy bodies (LBs). So far, there is no cure for PD, due to the complexities of molecular mechanisms and events taking place during the pathogenesis of PD. Drosophila melanogaster is an appropriate model organism to unravel the pathogenicity not only behind PD but also other NDs. In this context as numerous biological functions are preserved between Drosophila and humans. Apart from sharing 75% of human disease-causing genes homolog in Drosophila, behavioral responses like memory-based tests, negative geotaxis, courtship and mating are also well studied. The genetic, as well as environmental factors, can be studied in Drosophila to understand the geneenvironment interactions behind the disease condition. Through genetic manipulation, mutant flies can be generated harboring human orthologs, which can prove to be an excellent model to understand the effect of the mutant protein on the pathogenicity of NDs. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

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Keywords:  Neurodegenerative diseases; dopamine; parkinson’s disease; pathogenesis; serotonin; α-synuclein

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Year:  2022        PMID: 35040399     DOI: 10.2174/1871527320666210809120621

Source DB:  PubMed          Journal:  CNS Neurol Disord Drug Targets        ISSN: 1871-5273            Impact factor:   4.388


  1 in total

1.  Altered hydroxymethylome in the substantia nigra of Parkinson's disease.

Authors:  Shishi Min; Qian Xu; Lixia Qin; Yujing Li; Ziyi Li; Chao Chen; Hao Wu; Junhai Han; Xiongwei Zhu; Peng Jin; Beisha Tang
Journal:  Hum Mol Genet       Date:  2022-10-10       Impact factor: 5.121

  1 in total

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