Literature DB >> 27068280

CSF and blood biomarkers for the diagnosis of Alzheimer's disease: a systematic review and meta-analysis.

Bob Olsson1, Ronald Lautner2, Ulf Andreasson2, Annika Öhrfelt2, Erik Portelius2, Maria Bjerke3, Mikko Hölttä2, Christoffer Rosén2, Caroline Olsson4, Gabrielle Strobel5, Elizabeth Wu5, Kelly Dakin5, Max Petzold6, Kaj Blennow2, Henrik Zetterberg7.   

Abstract

BACKGROUND: Alzheimer's disease biomarkers are important for early diagnosis in routine clinical practice and research. Three core CSF biomarkers for the diagnosis of Alzheimer's disease (Aβ42, T-tau, and P-tau) have been assessed in numerous studies, and several other Alzheimer's disease markers are emerging in the literature. However, there have been no comprehensive meta-analyses of their diagnostic performance. We systematically reviewed the literature for 15 biomarkers in both CSF and blood to assess which of these were most altered in Alzheimer's disease.
METHODS: In this systematic review and meta-analysis, we screened PubMed and Web of Science for articles published between July 1, 1984, and June 30, 2014, about CSF and blood biomarkers reflecting neurodegeneration (T-tau, NFL, NSE, VLP-1, and HFABP), APP metabolism (Aβ42, Aβ40, Aβ38, sAPPα, and sAPPβ), tangle pathology (P-tau), blood-brain-barrier function (albumin ratio), and glial activation (YKL-40, MCP-1, and GFAP). Data were taken from cross-sectional cohort studies as well as from baseline measurements in longitudinal studies with clinical follow-up. Articles were excluded if they did not contain a cohort with Alzheimer's disease and a control cohort, or a cohort with mild cognitive impairment due to Alzheimer's disease and a stable mild cognitive impairment cohort. Data were extracted by ten authors and checked by two for accuracy. For quality assessment, modified QUADAS criteria were used. Biomarker performance was rated by random-effects meta-analysis based on the ratio between biomarker concentration in patients with Alzheimer's disease and controls (fold change) or the ratio between biomarker concentration in those with mild cognitive impariment due to Alzheimer's disease and those with stable mild cognitive impairment who had a follow-up time of at least 2 years and no further cognitive decline.
FINDINGS: Of 4521 records identified from PubMed and 624 from Web of Science, 231 articles comprising 15 699 patients with Alzheimer's disease and 13 018 controls were included in this analysis. The core biomarkers differentiated Alzheimer's disease from controls with good performance: CSF T-tau (average ratio 2·54, 95% CI 2·44-2·64, p<0·0001), P-tau (1·88, 1·79-1·97, p<0·0001), and Aβ42 (0·56, 0·55-0·58, p<0·0001). Differentiation between cohorts with mild cognitive impairment due to Alzheimer's disease and those with stable mild cognitive impairment was also strong (average ratio 0·67 for CSF Aβ42, 1·72 for P-tau, and 1·76 for T-tau). Furthermore, CSF NFL (2·35, 1·90-2·91, p<0·0001) and plasma T-tau (1·95, 1·12-3·38, p=0·02) had large effect sizes when differentiating between controls and patients with Alzheimer's disease, whereas those of CSF NSE, VLP-1, HFABP, and YKL-40 were moderate (average ratios 1·28-1·47). Other assessed biomarkers had only marginal effect sizes or did not differentiate between control and patient samples.
INTERPRETATION: The core CSF biomarkers of neurodegeneration (T-tau, P-tau, and Aβ42), CSF NFL, and plasma T-tau were strongly associated with Alzheimer's disease and the core biomarkers were strongly associated with mild cognitive impairment due to Alzheimer's disease. Emerging CSF biomarkers NSE, VLP-1, HFABP, and YKL-40 were moderately associated with Alzheimer's disease, whereas plasma Aβ42 and Aβ40 were not. Due to their consistency, T-tau, P-tau, Aβ42, and NFL in CSF should be used in clinical practice and clinical research. FUNDING: Swedish Research Council, Swedish State Support for Clinical Research, Alzheimer's Association, Knut and Alice Wallenberg Foundation, Torsten Söderberg Foundation, Alzheimer Foundation (Sweden), European Research Council, and Biomedical Research Forum.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27068280     DOI: 10.1016/S1474-4422(16)00070-3

Source DB:  PubMed          Journal:  Lancet Neurol        ISSN: 1474-4422            Impact factor:   44.182


  519 in total

1.  Proteomics for Target Identification in Psychiatric and Neurodegenerative Disorders.

Authors:  André S L M Antunes; Valéria de Almeida; Fernanda Crunfli; Victor C Carregari; Daniel Martins-de-Souza
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

2.  Association of Cerebrospinal Fluid Neurofilament Light Protein Levels With Cognition in Patients With Dementia, Motor Neuron Disease, and Movement Disorders.

Authors:  Bob Olsson; Erik Portelius; Nicholas C Cullen; Åsa Sandelius; Henrik Zetterberg; Ulf Andreasson; Kina Höglund; David J Irwin; Murray Grossman; Daniel Weintraub; Alice Chen-Plotkin; David Wolk; Leo McCluskey; Lauren Elman; Leslie M Shaw; Jon B Toledo; Jennifer McBride; Pilar Hernandez-Con; Virginia M-Y Lee; John Q Trojanowski; Kaj Blennow
Journal:  JAMA Neurol       Date:  2019-03-01       Impact factor: 18.302

Review 3.  Biomarkers for neurodegenerative diseases.

Authors:  Oskar Hansson
Journal:  Nat Med       Date:  2021-06-03       Impact factor: 53.440

4.  Ultrasensitive Detection of Attomolar Protein Concentrations by Dropcast Single Molecule Assays.

Authors:  Connie Wu; Padric M Garden; David R Walt
Journal:  J Am Chem Soc       Date:  2020-06-30       Impact factor: 15.419

Review 5.  Clearance of Amyloid Beta and Tau in Alzheimer's Disease: from Mechanisms to Therapy.

Authors:  Shu-Hui Xin; Lin Tan; Xipeng Cao; Jin-Tai Yu; Lan Tan
Journal:  Neurotox Res       Date:  2018-04-07       Impact factor: 3.911

6.  Plasma phospho-tau181 increases with Alzheimer's disease clinical severity and is associated with tau- and amyloid-positron emission tomography.

Authors:  Michelle M Mielke; Clinton E Hagen; Jing Xu; Xiyun Chai; Prashanthi Vemuri; Val J Lowe; David C Airey; David S Knopman; Rosebud O Roberts; Mary M Machulda; Clifford R Jack; Ronald C Petersen; Jeffrey L Dage
Journal:  Alzheimers Dement       Date:  2018-04-05       Impact factor: 21.566

Review 7.  [New biomarkers for Alzheimer's disease in cerebrospinal fluid and blood].

Authors:  Jonathan Vogelgsang; Jens Wiltfang
Journal:  Nervenarzt       Date:  2019-09       Impact factor: 1.214

Review 8.  Cerebrospinal Fluid Biomarkers of Alzheimer's Disease: Current Evidence and Future Perspectives.

Authors:  Donovan A McGrowder; Fabian Miller; Kurt Vaz; Chukwuemeka Nwokocha; Cameil Wilson-Clarke; Melisa Anderson-Cross; Jabari Brown; Lennox Anderson-Jackson; Lowen Williams; Lyndon Latore; Rory Thompson; Ruby Alexander-Lindo
Journal:  Brain Sci       Date:  2021-02-10

Review 9.  CREB signals as PBMC-based biomarkers of cognitive dysfunction: A novel perspective of the brain-immune axis.

Authors:  Nancy Bartolotti; Orly Lazarov
Journal:  Brain Behav Immun       Date:  2019-01-12       Impact factor: 7.217

Review 10.  Late-onset Alzheimer Disease.

Authors:  Gil D Rabinovici
Journal:  Continuum (Minneap Minn)       Date:  2019-02
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.