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GFAP as a Potential Biomarker for Alzheimer’s Disease: A Systematic Review and Meta-Analysis
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Blood biomarkers have been considered tools for the diagnosis, prognosis, and monitoring of Alzheimer's disease (AD). Although amyloid-β peptide (Aβ) and tau are primarily blood biomarkers, recent studies have identified other reliable candidates that can serve as measurable indicators of pathological conditions. One such candidate is the glial fibrillary acidic protein (GFAP), an astrocytic cytoskeletal protein that can be detected in blood samples. Increasing evidence suggests that blood GFAP levels can be used to detect early-stage AD. In this systematic review and meta-analysis, we aimed to evaluate GFAP in peripheral blood as a biomarker for AD and provide an overview of the evidence regarding its utility. Our analysis revealed that the GFAP level in the blood was higher in the Aβ-positive group than in the negative groups, and in individuals with AD or mild cognitive impairment (MCI) compared to the healthy controls. Therefore, we believe that the clinical use of blood GFAP measurements has the potential to accelerate the diagnosis and improve the prognosis of AD.
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“Given that plasma GFAP and NfL are elevated not only in FTD but also in other neurological diseases such as Alzheimer disease [7], stroke [50, 51], and TBI [6], these biomarkers are not anticipated to serve as FTD-specific diagnostic markers.”
From Comprehensive cross-sectional and longitudinal comparisons of plasma glial fibrillary acidic protein and neurofilament light across FTD spectrum disorders (2025) · cites this paper as [7]
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Metadata
- Authors
- Kim, K. Y., Shin, K. Y., & Chang, K.-A.
- Affiliations
- Gachon University (KR)
- Seoul National University (KR)
- Corresponding author
- Shin, Ki Young
- Chang, Keun-A
- Venue
- Cells
- Publisher
- MDPI AG
- Published
- 2023-05-04
- Volume
- 12
- Issue
- 9
- Pages
- 1309
- ISSN
- 2073-4409 (ISSN-L)
- PMC
- PMC10177296
- OpenAlex
- W4376630140
- Cited by
- 309
- References
- 91
- Citations by year
- 2026: 93 · 2025: 126 · 2024: 80 · 2023: 10
- FWCI
- 14.11
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Cells (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Research Foundation of Korea (NRF) (2022R1A2C1092597, 2020R1I1A1A01070793)
- Basic Science Research Program through the NRF of Korea (2022R1A2C1092597, 2020R1I1A1A01070793)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- glial fibrillary acidic protein, Alzheimer's disease, blood biomarkers, peripheral blood, amyloid-beta, mild cognitive impairment, early diagnosis, prognosis, astrocytes
- MeSH terms
- Alzheimer Disease, Glial Fibrillary Acidic Protein, Humans, Biomarkers, Amyloid beta-Peptides, Cognitive Dysfunction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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