Astrocyte Biomarkers in Alzheimer Disease: A Systematic Review and Meta-analysis
Posted on
Neurology | May 5, 2021
Bellaver B, Ferrari-Souza JP, Uglione da Ros L, Carter SF, Rodriguez-Vieitez E, Nordberg A, Pellerin L, Rosa-Neto P, Leffa DT and Zimmer ER
Neurology. 2021
DOI: https://doi.org/10.1212/WNL.0000000000012109
Abstract
Objective: To perform a systematic review and meta-analysis to determine whether fluid and imaging astrocyte biomarkers are altered in Alzheimer’s disease (AD).
Methods: PubMed and Web of Science databases were searched for articles reporting fluid or imaging astrocyte biomarkers in AD. Pooled effect sizes were determined with mean differences (SMD) using the Hedge’s G method with random-effects to determine biomarker performance. Adapted questions from QUADAS-2 were applied for quality assessment. A protocol for this study has been previously registered in PROSPERO (registration number: CRD42020192304).
Results: The initial search identified 1,425 articles. After exclusion criteria were applied, 33 articles (a total of 3,204 individuals) measuring levels of GFAP, S100B, YKL-40 and AQP4 in the blood and cerebrospinal fluid (CSF), as well as MAO-B, indexed by positron emission tomography 11C-deuterium-L-deprenyl ([11C]-DED), were included. GFAP (SMD = 0.94; 95% CI = 0.71-1.18) and YKL-40 (SMD = 0.76; CI 95% = 0.63-0.89) levels in the CSF, S100B levels in the blood (SMD = 2.91; CI 95% = 1.01-4.8) were found significantly increased in AD patients.
Conclusions: Despite significant progress, applications of astrocyte biomarkers in AD remain in their early days. The meta-analysis demonstrated that astrocyte biomarkers are consistently altered in AD and supports further investigation for their inclusion in the AD clinical research framework for observational and interventional studies.
Share This Post
Related Posts
Neurology
Comparative Spatial Analyses of the Tumor Immune Landscape in Mouse Models of Glioblastoma Using the PhenoCode Discovery Mouse Neuro Panel and Customized Markers
Poster Background Developing effective therapies for glioblastoma (GBM) relies on robust preclinical animal models that enable detailed investigation of tumor biology, discovery of therapeutic targets, and evaluation of new treatment…
Oncology
Development of a Spatial Metabolic Map of Immunotherapy Sensitive and Resistant Cutaneous Skin Carcinoma
Poster Background Ultrahigh-Plex Single-cell Spatial Phenotyping has revealed valuable insights into the tumor immune microenvironment (TiME) for biomarker discovery and stratification of clinical responses. Metabolic reprogramming is a key hallmark…
Spatial Immunometabolic Profiling of Non-Small Cell Lung Cancer Reveals Distinct Immune Exclusion Patterns and Functional Niches
Analytical validation of a multiplex immunofluorescence 7-Biomarker Immunoprint® assay on the Akoya PhenoImager HT platform for stage I/II Melanoma
Neurology
Neurodegenerative biomarkers in different chambers of the eye relative to plasma: an agreement validation study
Alzheimer’s Research and Therapy | August 26, 2024 Sampani K, Ness S, Tuz-Zahra F, Aytan N, Spurlock EE, Alluri S, Chen X, Siegel NH, Alosco ML, Xia W, Tripodis Y,…
Neurology
Clinical validation of the LucentAD p-Tau 217 as a lab developed test (LDT) for clinical use
Poster The intersection of new therapeutic options for Alzheimer’s disease (AD), the emergence of accurate blood-based tests for AD, and the anticipated health system log jam for confirmatory diagnostic testing…
Neurology
Development of thresholds and a visualization tool for use of a blood test in routine clinical dementia practice
Alzheimer’s & Dementia | August 3, 2024 Verberk IMW, Jutte J, Kingma MY, Vigneswaran S, Gouda MMTEE, van Engelen MP, Alcolea D, Arranz J, Fortea J, Lleó A, Chevalier C,…
Neurology
Discovering novel plasma biomarkers for ischemic stroke: Lipidomic and metabolomic analyses in an aged mouse model
Journal of Lipid Research | August 2, 2024 Becktel DA, Frye JB, Le EH, Whitman SA, Schnellmann RG, Morrison HW, Doyle KP. J Lipid Res. 2024 https://doi.org/10.1016/j.jlr.2024.100614 Abstract Ischemic stroke…