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Biochemical Purification and Proteomic Characterization of Amyloid Fibril Cores from the Brain
Published on: April 28, 2022
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Protein aggregate formation permits millennium-old brain preservation.
Axel Petzold1,2,3,4, Ching-Hua Lu5,6, Mike Groves7
1Department of Neuroinflammation and National Hospital for Neurology and Neurosurgery, UCL Institute of Neurology, UCLH, Queen Square, London WC1N 3BG, UK.
Journal of the Royal Society, Interface
|January 9, 2020
Summary
Ancient brain proteins, including glial fibrillary acidic protein (GFAP) and neurofilaments (Nfs), were discovered remarkably preserved for 2600 years. This suggests protein aggregates allow brain proteins to survive for millennia.
Area of Science:
- Paleoproteomics
- Neuroscience
- Biochemistry
Background:
- Human proteins typically degrade rapidly after death due to autolysis and putrefaction.
- The long-term preservation of brain proteins in natural environments has been poorly understood.
Purpose of the Study:
- To investigate the long-term stability of human brain proteins.
- To explore the potential for protein aggregate preservation over extended periods.
Main Methods:
- Radiocarbon dating of a 2600-year-old human brain.
- Immunoelectron microscopy to assess neurocytoarchitecture.
- Immunoassays and mass spectrometry to identify and analyze brain proteins.
- Antibody generation to test protein immunogenicity.
Main Results:
- Discovery of 2600-year-old brain proteins, including glial fibrillary acidic protein (GFAP) and neurofilaments (Nfs).
- Preserved protein topography and immunogenicity of ancient brain proteins.
- Neurocytoarchitecture showed remarkable preservation despite tissue shrinkage.
- DNA quality was poor, preventing reliable sequencing.
Conclusions:
- Non-amyloid protein aggregates facilitate extraordinary long-term stability of brain proteins.
- Protein aggregate formation allows for the preservation of brain proteins for millennia.
- This finding has implications for understanding ancient biological materials and neurodegenerative diseases.

