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Unraveling the Molecular Jam: How Crowding Shapes Protein Aggregation in Neurodegenerative Disorders
Shashi Prakash Patel1, Tejas Nikam1, Bhargavi Sreepathi1
1Department of Biotechnology, National Institute of Pharmaceutical Education and Research, Raebareli (NIPER-R), Lucknow-226002, Uttar Pradesh, India.
ACS Chemical Biology
|October 7, 2024
Summary
Macromolecular crowding significantly impacts protein aggregation in neurodegenerative diseases. Understanding these effects is key to developing new therapeutic targets for conditions like Alzheimer's and Parkinson's.
Area of Science:
- Biochemistry
- Cell Biology
- Neuroscience
Background:
- Protein misfolding and aggregation are central to neurodegenerative diseases.
- The cellular environment, or macromolecular crowding, influences protein aggregation.
- This crowding affects pathological protein aggregation in diseases like Alzheimer's, Parkinson's, and Huntington's.
Purpose of the Study:
- To review recent studies on the effects of macromolecular crowding on protein aggregation.
- To summarize how crowding agents alter aggregation kinetics, stability, and morphology.
- To discuss the molecular mechanisms by which crowding influences amyloidogenic aggregation.
Main Methods:
- Review of existing literature on macromolecular crowding and protein aggregation.
- Analysis of studies using various crowding agents (polysaccharides, PEG, BSA, lysozyme).
- Examination of aggregation of amyloidogenic peptides and proteins (amylin, huntingtin, tau, α-synuclein, prion, amyloid-β).
Main Results:
- Crowding agents significantly alter aggregation kinetics, thermodynamic stability, and fibril morphology.
- Changes in protein conformation and nucleation mechanisms are observed under crowded conditions.
- Crowding influences the aggregation pathways of key proteins implicated in neurodegeneration.
Conclusions:
- Macromolecular crowding plays a critical role in modulating protein aggregation in neurodegenerative diseases.
- Understanding crowding effects is essential for elucidating disease pathologies.
- This knowledge can guide the identification of novel therapeutic targets for neurodegenerative disorders.
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