Biomarkers for cognitive impairment in alpha-synucleinopathies: an overview of systematic reviews and meta-analyses

被引：0
作者：
Mantovani, Elisa [1 ]
Martini, Alice [2 ,3 ]
Dinoto, Alessandro [1 ]
Zucchella, Chiara [4 ]
Ferrari, Sergio [4 ]
Mariotto, Sara [1 ]
Tinazzi, Michele [1 ]
Tamburin, Stefano [1 ]
机构：
[1] Univ Verona, Dept Neurosci Biomed & Movement Sci, Verona, Italy
[2] Keele Univ, Sch Psychol, Newcastle, England
[3] ASFO Azienda Sanit Friuli Occidentale, Addict Dept, Pordenone, Italy
[4] Verona Univ Hosp, Dept Neurosci, Sect Neurol, Verona, Italy
来源：
NPJ PARKINSONS DISEASE | 2024年 / 10卷 / 01期
关键词：
PARKINSONS-DISEASE; PLASMA HOMOCYSTEINE; TASK-FORCE; DEMENTIA; ATROPHY; NEURODEGENERATION; ASSOCIATION; PROPAGATION; DYSFUNCTION; POPULATION;
D O I：
10.1038/s41531-024-00823-x
中图分类号：
Q189 [神经科学];
学科分类号：
071006 ;
摘要：
Cognitive impairment (CI) is common in alpha-synucleinopathies, i.e., Parkinson's disease, Lewy bodies dementia, and multiple system atrophy. We summarize data from systematic reviews/meta-analyses on neuroimaging, neurophysiology, biofluid and genetic diagnostic/prognostic biomarkers of CI in alpha-synucleinopathies. Diagnostic biomarkers include atrophy/functional neuroimaging brain changes, abnormal cortical amyloid and tau deposition, and cerebrospinal fluid (CSF) Alzheimer's disease (AD) biomarkers, cortical rhythm slowing, reduced cortical cholinergic and glutamatergic and increased cortical GABAergic activity, delayed P300 latency, increased plasma homocysteine and cystatin C and decreased vitamin B12 and folate, increased CSF/serum albumin quotient, and serum neurofilament light chain. Prognostic biomarkers include brain regional atrophy, cortical rhythm slowing, CSF amyloid biomarkers, Val66Met polymorphism, and apolipoprotein-E epsilon 2 and epsilon 4 alleles. Some AD/amyloid/tau biomarkers may diagnose/predict CI in alpha-synucleinopathies, but single, validated diagnostic/prognostic biomarkers lack. Future studies should include large consortia, biobanks, multi-omics approach, artificial intelligence, and machine learning to better reflect the complexity of CI in alpha-synucleinopathies.
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页数：17
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