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Proteomic Markers and Early Prediction of Alzheimer's Disease. | LitMetric

AI Article Synopsis

  • Alzheimer's disease (AD) is a major neurodegenerative disorder affecting over 30 million elderly people worldwide, with projections suggesting this number could rise to 115 million by 2050.
  • Current diagnostic methods include clinical assays for amyloid markers in cerebrospinal fluid (CSF), brain MRI, and PET scans, but predicting AD at asymptomatic stages remains a challenge.
  • There is a growing interest in developing less invasive methods for early detection, focusing on specific proteomic changes in blood plasma, which could pave the way for identifying risk factors and pathways involved in AD progression.

Article Abstract

Alzheimer's disease (AD) is the most common socially significant neurodegenerative pathology, which currently affects more than 30 million elderly people worldwide. Since the number of patients grows every year and may exceed 115 million by 2050, and due to the lack of effective therapies, early prediction of AD remains a global challenge, solution of which can contribute to the timely appointment of a preventive therapy in order to avoid irreversible changes in the brain. To date, clinical assays for the markers of amyloidosis in cerebrospinal fluid (CSF) have been developed, which, in conjunction with the brain MRI and PET studies, are used either to confirm the diagnosis based on obligate clinical criteria or to predict the risk of AD developing at the stage of mild cognitive impairment (MCI). However, the problem of predicting AD at the asymptomatic stage remains unresolved. In this regard, the search for new protein markers and studies of proteomic changes in CSF and blood plasma are of particular interest and may consequentially identify particular pathways involved in the pathogenesis of AD. Studies of specific proteomic changes in blood plasma deserve special attention and are of increasing interest due to the much less invasive method of sample collection as compared to CSF, which is important when choosing the object for large-scale screening. This review briefly summarizes the current knowledge on proteomic markers of AD and considers the prospects of developing reliable methods for early identification of AD risk factors based on the proteomic profile.

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Source
http://dx.doi.org/10.1134/S0006297922080089DOI Listing

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