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Cited 14 time in webofscience Cited 15 time in scopus
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Plasma amyloid-beta oligomerization assay as a pre-screening test for amyloid status

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dc.contributor.authorMofrad, Rosha Babapour-
dc.contributor.authorScheltens, Philip-
dc.contributor.authorKim, SangYun-
dc.contributor.authorKang, Sungmin-
dc.contributor.authorYoun, Young Chul-
dc.contributor.authorAn, Seong Soo A.-
dc.contributor.authorTomassen, Jori-
dc.contributor.authorvan Berckel, Bart N. M.-
dc.contributor.authorVisser, Pieter Jelle-
dc.contributor.authorvan Der Flier, Wiesje M.-
dc.contributor.authorTeunissen, Charlotte E.-
dc.date.accessioned2021-08-05T02:40:47Z-
dc.date.available2021-08-05T02:40:47Z-
dc.date.created2021-08-05-
dc.date.issued2021-07-
dc.identifier.issn1758-9193-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/81830-
dc.description.abstractObjective: We assessed the performance of plasma amyloid oligomerization tendency (OA beta) as a marker for abnormal amyloid status. Additionally, we examined long-term storage effects on plasma OA beta. Methods: We included 399 subjects regardless of clinical diagnosis from the Amsterdam Dementia Cohort and European Medical Information Framework for AD project (age, 63.8 +/- 6.6; 44% female). Amyloid status was determined by visual read on positron emission tomography (PET; n(abnormal) = 206). Plasma OA beta was measured using the multimer detection system (MDS). Long-term storage effects on MDS-OA beta were assessed using general linear models. Associations between plasma MDS-OA beta and A beta-PET status were assessed using logistic regression and receiver operating characteristics analyses. Correlations between plasma MDS-OAP and CSF biomarker levels were evaluated using Pearson correlation analyses. Results: MDS-OA beta was higher in individuals with abnormal amyloid, and it identified abnormal A beta-PET with an area under the curve (AUC) of 0.74 (95% CI, 0.67-0.81), especially in samples with a storage duration < 4 years. Combining APOEe4 and age with plasma MDS-OA beta revealed an AUC of 81% for abnormal amyloid PET status (95% CI, 74-87%). Plasma MDS-OA beta correlated negatively with MMSE (r = - 0.29, p < .01) and CSF A beta 42 (r = - 0.20, p < 0.05) and positively with CSF Tau (r = 0.20, p = 0.01). Conclusions: Plasma MDS-OA beta combined with APOEe4 and age accurately identifies brain amyloidosis in a large A beta-confirmed population. Using plasma MDS-OA beta as a screener reduced the costs and number of PET scans needed to screen for amyloidosis, which is relevant for clinical trials. Additionally, plasma MDS-OA beta levels appeared affected by long-term storage duration, which could be of interest for others measuring plasma A beta biomarkers.-
dc.language영어-
dc.language.isoen-
dc.publisherBMC-
dc.relation.isPartOfALZHEIMERS RESEARCH & THERAPY-
dc.titlePlasma amyloid-beta oligomerization assay as a pre-screening test for amyloid status-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.wosid000677747400001-
dc.identifier.doi10.1186/s13195-021-00873-w-
dc.identifier.bibliographicCitationALZHEIMERS RESEARCH & THERAPY, v.13, no.1-
dc.description.isOpenAccessN-
dc.identifier.scopusid2-s2.0-85111307558-
dc.citation.titleALZHEIMERS RESEARCH & THERAPY-
dc.citation.volume13-
dc.citation.number1-
dc.contributor.affiliatedAuthorAn, Seong Soo A.-
dc.type.docTypeArticle-
dc.subject.keywordAuthorBlood-based biomarker-
dc.subject.keywordAuthorPlasma A beta oligomer-
dc.subject.keywordAuthorAmyloid status-
dc.subject.keywordAuthorMultimer detection system-
dc.subject.keywordAuthorLong-term storage-
dc.subject.keywordPlusALZHEIMERS-DISEASE-
dc.subject.keywordPlusDIAGNOSTIC-CRITERIA-
dc.subject.keywordPlusPROTEIN OLIGOMERS-
dc.subject.keywordPlusDEMENTIA-
dc.subject.keywordPlusBIOMARKER-
dc.subject.keywordPlusPERFORMANCE-
dc.subject.keywordPlusHYPOTHESIS-
dc.subject.keywordPlusCONSENSUS-
dc.subject.keywordPlusFLUID-
dc.relation.journalResearchAreaNeurosciences & Neurology-
dc.relation.journalWebOfScienceCategoryClinical Neurology-
dc.relation.journalWebOfScienceCategoryNeurosciences-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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