Abstract

AbstractBackgroundDementia with Lewy bodies (DLB), the second most prevalent form of degenerative dementia, is characterized by pathological α‐synuclein (αSyn) protein aggregation in neurons. Pathological αSyn shows a protein‐seeding phenomenon that may result in aggregation years before clinical symptoms. Studies using Real‐time quaking‐induced conversion (RT‐QuIC) assay show αSyn seeding from peripheral tissue including skin and cerebrospinal Fluid (CSF). Identifying early biomarkers for DLB is essential for accurate diagnosis, and developing effective treatments to slow progression. Herein, we investigate αSyn seeding activities in CSF from patients with mild cognitive impairment with Lewy bodies (MCI‐LB) phenoconverting to DLB.MethodCSF samples were obtained from 3 MCI‐LB and 2 DLB patients at baseline and two‐year follow‐up appointments. CSF samples were tested for their potential to seed α‐synuclein aggregation using an RT‐QuIC assay. CSF samples were tested by seeding 2 μl of CSF in 98 ul of RT‐QuIC reaction mixture with human recombinant αSyn protein, analyzed on a FLUOstar Omega plate reader. Results were recorded every 30 minutes over a period of 45 hours analyzed based on the reaction kinetics to determine the seeding ability of the α‐synuclein in the CSF samples.ResultWe observed seed amplification at first visit for both DLB patients and one MCI‐LB patient. The absolute quantification of aggregation increased at second visit (2 years apart) for one DLB patient and one MCI‐LB. The other two MCI‐LB patients showed no amplification at baseline visit but showed signal at two‐year visit, by which time all three had phenoconverted to DLB. Interestingly the second DLB patient showed a decline at two‐year follow‐up. The medical and neuroimaging records of that patient indicate that the patient’s cognitive decline began as early‐onset disease (first symptoms at age 50 years).ConclusionWe demonstrate that measures of seed aggregation in CSF with RT‐QuIC are informative in MCI‐LB and DLB, and may also reflect changes in disease progression and dynamics.

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