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A Multi-Dimensional Comparison of Alzheimer's Disease Neurodegenerative Biomarkers.
Liu, Ying; Han, Pei-Ran; Hu, Hao; Wang, Zuo-Teng; Guo, Yu; Ou, Ya-Nan; Cao, Xi-Peng; Tan, Lan; Yu, Jin-Tai.
Afiliação
  • Liu Y; Department of Neurology, Qingdao Municipal Hospital, Nanjing Medical University, Nanjing, China.
  • Han PR; Clinical Research Center, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
  • Hu H; Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
  • Wang ZT; Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
  • Guo Y; Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.
  • Ou YN; Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
  • Cao XP; Clinical Research Center, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
  • Tan L; Department of Neurology, Qingdao Municipal Hospital, Nanjing Medical University, Nanjing, China.
  • Yu JT; Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
J Alzheimers Dis ; 87(1): 197-209, 2022.
Article em En | MEDLINE | ID: mdl-35275546
ABSTRACT

BACKGROUND:

In the 2018 AT(N) framework, neurodegenerative (N) biomarkers plays an essential role in the research and staging of Alzheimer's disease (AD); however, the different choice of N may result in discordances.

OBJECTIVE:

We aimed to compare different potential N biomarkers.

METHODS:

We examined these N biomarkers among 1,238 participants from Alzheimer's Disease Neuroimaging Initiative (ADNI) in their 1) diagnostic utility, 2) cross-sectional and longitudinal correlations between different N biomarkers and clinical variables, and 3) the conversion risk of different N profiles.

RESULTS:

Six neurodegenerative biomarkers changed significantly from preclinical AD, through prodromal AD to AD dementia stage, thus they were chosen as the candidate N biomarkers hippocampal volume (HV), 18F-fluorodeoxyglucose-positron emission tomography (FDG-PET), cerebrospinal fluid (CSF), total tau (T-tau), plasma neurofilament light chain (NFL), CSF NFL, and CSF neurogranin (Ng). Results indicated that FDG-PET not only had the greatest diagnostic utility in differentiating AD from controls (area under the curve FDG-PET, 0.922), but also had the strongest association with cognitive scores. Furthermore, FDG-PET positive group showed the fastest memory decline (hazard ratio FDG-PET, 3.45), which was also true even in the presence of amyloidpathology. Moreover, we observed great discordances between three valuable N biomarkers (FDG-PET, HV, and T-tau).

CONCLUSION:

These results underline the importance of using FDG-PET as N in terms of cognitive decline and AD conversion, followed by HV, and could be a great complement to the AT(N) framework.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Alzheimer / Disfunção Cognitiva Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Alzheimers Dis Assunto da revista: GERIATRIA / NEUROLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Alzheimer / Disfunção Cognitiva Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Alzheimers Dis Assunto da revista: GERIATRIA / NEUROLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China
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