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Changes in protein structure and function, alteration in protein-protein interaction, and significant
difference in protein concentration inside the body could play an important role in indicating the
pathological evidence of abnormalities before the development of clinical symptoms and act as a critical
detection and diagnostic tool commonly known as biomarkers. Biomarkers play important roles in the
diagnosis of various chronic diseases including cancer. Neurodegenerative disorders including
Parkinson's, Alzheimer's, Huntington's, prion, and multiple sclerosis are well characterized by neuronal
deterioration, resulting in precise modifications of neuronal proteins. Nowadays, the diagnosis of
neurological disorders is based on protein or biomarker. These biomarkers may be found in the
cerebrospinal fluid, blood, serum, plasma, saliva, or urine sample. Early diagnosis is urgently needed
to prevent further circumstances. For early diagnosis, identifying the changes in novel protein levels
and their functions under the disease conditions is necessary. These can be used as specific proteomic
biomarkers for diseases, and they can be possibly identified using neuroproteomics. Neuroproteomics
is an emerging tool to corroborate disease-associated protein profiles. It also gives an idea about how
these proteins interact with other proteins and undergo post-translational modifications.
Neuroproteomics is based on bioinformatics, which provides functional characteristics and advances in
technology such as mass spectroscopy, and can help in the discovery of various disease-specific
biomarkers. This review gives a complete idea about the types of biomarkers, sources of biomarkers,
and techniques involved in the discovery of biomarkers for early diagnosis of neurodegenerative
diseases.