Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김승현 | - |
dc.date.accessioned | 2021-03-30T00:41:26Z | - |
dc.date.available | 2021-03-30T00:41:26Z | - |
dc.date.issued | 2020-01 | - |
dc.identifier.citation | NEUROBIOLOGY OF AGING, v. 83, page. 42-53 | en_US |
dc.identifier.issn | 0197-4580 | - |
dc.identifier.issn | 1558-1497 | - |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0197458019303185?via%3Dihub | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/160942 | - |
dc.description.abstract | Alzheimer's disease (AD) neuropathology is extremely heterogeneous, and the evolution from preclinical to mild cognitive impairment until dementia is driven by interacting genetic/biological mechanisms not fully captured by current clinical/research criteria. We characterized the heterogeneous "construct" of AD through a cerebrospinal fluid biomarker-guided stratification approach. We analyzed 5 validated pathophysiological cerebrospinal fluid biomarkers (A beta(1-42), t-tau, -p-tau(181), NFL, YKL-40) in 113 participants (healthy controls [N = 20], subjective memory complainers [N = 36], mild cognitive impairment [N = 20], and AD dementia [N = 37], age: 66.7 +/- 10.4, 70.4 +/- 7.7, 71.7 +/- 8.4, 76.2 +/- 3.5 years [mean +/- SD], respectively) using Density-Based Spatial Clustering of Applications with Noise, which does not require a priori determination of the number of clusters. We found 5 distinct clusters (sizes: N = 38, 16, 24, 14, and 21) whose composition was independent of phenotypical groups. Two clusters showed biomarker profiles linked to neurodegenerative processes not associated with classical AD-related pathophysiology. One cluster was characterized by the neuroinflammation biomarker YKL-40. Combining nonlinear data aggregation with informative biomarkers can generate novel patient strata which are representative of cellular/molecular pathophysiology and may aid in predicting disease evolution and mechanistic drug response. (C) 2019 The Authors. Published by Elsevier Inc. | en_US |
dc.description.sponsorship | This research benefited from the support of the Program "PHOENIX" led by the Sorbonne University Foundation and sponsored by la Fondation pour la Recherche sur Alzheimer. The study was promoted by INSERM in collaboration with ICM, IHU-A-ICM, and Pfizer and has received support within the "Investissement d'Avenir" (ANR-10-AIHU-06) program. The study was promoted in collaboration with the "CHU de Bordeaux" (coordination CIC EC7), the promoter of Memento cohort, funded by the Foundation Plan-Alzheimer. The study was further supported by AVID/Lilly. CATI is a French neuroimaging platform funded by the French Plan Alzheimer (available at http://cati-neuroimaging.com).HZ is a Wallenberg Academy Fellow and holds grants from the Swedish and European Research Councils as well as the Medical Research Council (UK). KB holds the Torsten Soderberg Professorship of Medicine and is supported by the Swedish Research Council (#2017-00915), the Swedish Alzheimer Foundation (#AF-742881), Hjarnfonden, Sweden (#F02017-0243), and a grant (#ALFGBG-715986) from the Swedish state under the agreement between the Swedish government and the County Councils, the ALF agreement. HH is an employee of Eisai Inc. During part of this work, he was supported by the AXA Research Fund, the "Fondation partenariale Sorbonne Universite" and the "Fondation pour la Recherche sur Alzheimer", Paris, France. | en_US |
dc.language.iso | en | en_US |
dc.publisher | ELSEVIER SCIENCE INC | en_US |
dc.subject | Alzheimer's disease | en_US |
dc.subject | Biomarker-guided categorization | en_US |
dc.subject | Clustering | en_US |
dc.subject | Pathophysiology | en_US |
dc.subject | Precision medicine | en_US |
dc.title | Biomarker-guided clustering of Alzheimer’s disease clinical syndromes | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1016/j.neurobiolaging.2019.08.032 | - |
dc.relation.page | 1-10 | - |
dc.relation.journal | NEUROBIOLOGY OF AGING | - |
dc.contributor.googleauthor | Toschi, Nicola | - |
dc.contributor.googleauthor | Lista, Simone | - |
dc.contributor.googleauthor | Baldacci, Filippo | - |
dc.contributor.googleauthor | Cavedo, Enrica | - |
dc.contributor.googleauthor | Zetterberg, Henrik | - |
dc.contributor.googleauthor | Blennow, Kaj | - |
dc.contributor.googleauthor | Kilimann, Ingo | - |
dc.contributor.googleauthor | Teipel, Stefan J. | - |
dc.contributor.googleauthor | dos Santos, Antonio Melo | - |
dc.contributor.googleauthor | KIM, Seung H. | - |
dc.relation.code | 2020049865 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF MEDICINE[S] | - |
dc.sector.department | DEPARTMENT OF MEDICINE | - |
dc.identifier.pid | kimsh1 | - |
dc.identifier.researcherID | T-5133-2017 | - |
dc.identifier.orcid | http://orcid.org/0000-0001-9644-9598 | - |
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