Fibrinogen isoforms as potential blood-based biomarkers of Alzheimer's disease using a proteomics approach.
Siti Hajar RehimanSiong Meng LimFei Tieng LimAi-Vyrn ChinMaw Pin TanShahrul Bahyah KamaruzzamanKalavathy RamasamyAbu Bakar Abdul MajeedPublished in: The International journal of neuroscience (2020)
Objective: Alzheimer's disease (AD), the commonest form of dementia which is characterized by progressive decline in cognitive function, can only be definitively diagnosed after death. Although biomarkers may aid diagnosis, currently available AD biomarkers, which are predominantly based on cerebrospinal fluid and neuroimaging facilities, are either invasive or costly. Blood-based biomarkers for AD diagnosis are highly sought after due to its practicality at the clinic. This study was undertaken to determine the differential protein expression in plasma amongst Malaysian AD, mild cognitive impairment (MCI) and non-AD individuals. Methods: A proteomic approach which utilized two-dimensional differential in gel electrophoresis (2 D DIGE) was performed for blood samples from 15 AD, 14 MCI and 15 non-AD individuals. Results: Mass spectrometry (MS)-based protein identification via MALDI ToF/ToF showed that fibrinogen-β-chain (spot 64) and fibrinogen-γ-chain (spot 91) with differential expression ratio >1.5 were significantly upregulated (p < 0.05) in AD patients when compared to non-AD individuals. Further data analysis using Pearson correlation found that the upregulated fibrinogen-γ-chain was weakly but significantly (p < 0.05) and inversely correlated with cognitive decline. Conclusion: Fibrinogen isoforms may play important roles in the vascular pathology of AD as well as neuroinflammation. As such, fibrinogen appears to be a promising blood-based biomarker for AD. Further validation of the present findings in larger population is now warranted.
Keyphrases
- mild cognitive impairment
- cognitive decline
- mass spectrometry
- ms ms
- multiple sclerosis
- cerebrospinal fluid
- end stage renal disease
- machine learning
- chronic kidney disease
- high resolution
- small molecule
- cognitive impairment
- risk assessment
- blood brain barrier
- high performance liquid chromatography
- artificial intelligence
- peritoneal dialysis
- lipopolysaccharide induced
- deep learning
- capillary electrophoresis
- african american
- hyaluronic acid
- human health