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Review
. 2020 Apr;52(4):556-568.
doi: 10.1038/s12276-020-0418-9. Epub 2020 Apr 13.

New fluid biomarkers tracking non-amyloid-β and non-tau pathology in Alzheimer's disease

Affiliations
Review

New fluid biomarkers tracking non-amyloid-β and non-tau pathology in Alzheimer's disease

Sun Ah Park et al. Exp Mol Med. 2020 Apr.

Abstract

Cerebrospinal fluid (CSF) biomarkers based on the core pathological proteins associated with Alzheimer's disease (AD), i.e., amyloid-β (Aβ) and tau protein, are widely regarded as useful diagnostic biomarkers. However, a lack of biomarkers for monitoring the treatment response and indexing clinical severity has proven to be problematic in drug trials targeting Aβ. Therefore, new biomarkers are needed to track non-Aβ and non-tau pathology. Many proteins involved in the pathophysiological progression of AD have shown promise as new biomarkers. Neurodegeneration- and synapse-related biomarkers in CSF (e.g., neurofilament light polypeptide [NFL], neurogranin, and visinin-like protein 1) and blood (e.g., NFL) aid prediction of AD progress, as well as early diagnosis. Neuroinflammation, lipid dysmetabolism, and impaired protein clearance are considered important components of AD pathophysiology. Inflammation-related proteins in the CSF, such as progranulin, intercellular adhesion molecule 1, and chitinase-3-like protein 1 (YKL-40), are useful for the early detection of AD and can represent clinical severity. Several lipid metabolism-associated biomarkers and protein clearance-linked markers have also been suggested as candidate AD biomarkers. Combinations of subsets of new biomarkers enhance their utility in terms of broadly characterizing AD-associated pathological changes, thereby facilitating precise selection of susceptible patients and comprehensive monitoring of the treatment response. This approach could facilitate the development of effective treatments for AD.

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Conflict of interest statement

The authors declare that they have no conflict of interest.

Figures

Fig. 1
Fig. 1. Overview of the pathophysiological process in Alzheimer’s disease.
BBB, blood–brain barrier; CSF, cerebrospinal fluid.
Fig. 2
Fig. 2
Overview of candidate non-Aβ and non-tau fluid biomarkers.
Fig. 3
Fig. 3. Perspectives on future clinical utility of new biomarkers.
AD, Alzheimer’s disease; MCI, mild cognitive impairment.

References

    1. Hyman BT, et al. National Institute on Aging-Alzheimer’s Association guidelines for the neuropathologic assessment of Alzheimer’s disease. Alzheimers Dement. 2012;8:1–13. - PMC - PubMed
    1. McKhann GM, et al. The diagnosis of dementia due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement. 2011;7:263–269. - PMC - PubMed
    1. Dubois B, et al. Advancing research diagnostic criteria for Alzheimer’s disease: the IWG-2 criteria. Lancet Neurol. 2014;13:614–629. - PubMed
    1. Jack CR, Jr., et al. NIA-AA research framework: toward a biological definition of Alzheimer’s disease. Alzheimers Dement. 2018;14:535–562. - PMC - PubMed
    1. Mattsson N, et al. Revolutionizing Alzheimer’s disease and clinical trials through biomarkers. Alzheimers Dement. 2015;1:412–419. - PMC - PubMed

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