GFAP as a biomarker in frontotemporal dementia and primary psychiatric disorders: diagnostic and prognostic performance
Abstract
Background Frontotemporal lobar degeneration (FTLD) and primary psychiatric disorders (PPD) are characterised by overlapping clinical features but different aetiologies. Here, we assessed for the first time the potential of blood glial fibrillar acidic protein (GFAP), marker of astrogliosis, as a discriminative and prognostic tool in FTLD and PPD. Methods The levels of GFAP in serum (sGFAP) of patients with FTLD (N=107) and PPD (N=44) and GFAP in whole blood samples (bGFAP) from FTLD (N=10), PPD (N=10) and healthy controls (N=18) were measured. We evaluated whether the sGFAP levels associate with C9orf72 repeat expansion, survival of FTLD and PPD patients, and brain atrophy assessed cross-sectionally and longitudinally by structural T1W MRI. We also examined the correlation between sGFAP and bGFAP levels in a subset of patients. Results sGFAP and bGFAP levels were elevated in the FTLD group compared with the PPD or control groups. Receiver operating characteristic analysis indicated an excellent diagnostic performance between FTLD and PPD (the area under the curve (AUC)=0.820, 95% CI 0.745 to 0.896). sGFAP and bGFAP levels showed a strong correlation and elevated sGFAP levels significantly associated with atrophy rate in the temporal cortex and predicted shorter survival time in patients with FTLD. No association with C9orf72 repeat expansion was detected. Conclusions sGFAP enabled differentiation of patients with FTLD and PPD and associated with shorter survival and more severe brain atrophy rate in patients with FTLD. These results suggest that blood-based GFAP represents a minimally invasive and useful biomarker in the differential diagnostics between patients with FTLD and PPD and in evaluating disease progression and astrogliosis in FTLD.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Some studies reported elevated blood GFAP in participants with FTD compared to controls.
“Indeed, some studies reported elevated blood GFAP in participants with FTD compared to controls [8–18] but others observed no such GFAP increase in FTD [19–22].”
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 [12]
Cites
Neurotoxic reactive astrocytes are induced by activated microglia
Liddelow, S. A., Guttenplan, K. A., Clarke, L. E., Bennett, F. C., Bohlen, C. J., Schirmer, L., Bennett, M. L., Münch, A. E., Chung, W.-S., Peterson, T. C., et al. (2017) · Nature · doi:10.1038/nature21029 · Cited by 7,971 · see citing works
Ducharme, S., Dols, A., Laforce, R., Devenney, E., Kumfor, F., van den Stock, J., Dallaire-Théroux, C., Seelaar, H., Gossink, F., Vijverberg, E., et al. (2020) · Brain · doi:10.1093/brain/awaa018 · Cited by 320 · see citing works
The genetics and neuropathology of frontotemporal lobar degeneration
Sieben, A., Van Langenhove, T., Engelborghs, S., Martin, J.-J., Boon, P., Cras, P., De Deyn, P.-P., Santens, P., Van Broeckhoven, C., & Cruts, M. (2012) · Acta Neuropathologica · doi:10.1007/s00401-012-1029-x · Cited by 280 · see citing works
Ishiki, A., Kamada, M., Kawamura, Y., Terao, C., Shimoda, F., Tomita, N., Arai, H., & Furukawa, K. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13399 · Cited by 156 · see citing works
Al Shweiki, M. R., Steinacker, P., Oeckl, P., Hengerer, B., Danek, A., Fassbender, K., Diehl-Schmid, J., Jahn, H., Anderl-Straub, S., Ludolph, A. C., et al. (2019) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2019.03.019 · Cited by 131 · see citing works
Benussi, A., Ashton, N. J., Karikari, T. K., Gazzina, S., Premi, E., Benussi, L., Ghidoni, R., Rodriguez, J. L., Emeršič, A., Binetti, G., et al. (2020) · Journal of Alzheimer’s Disease · doi:10.3233/jad-200608 · Cited by 113 · see citing works
Marelli, C., Hourregue, C., Gutierrez, L.-A., Paquet, C., Menjot de Champfleur, N., De Verbizier, D., Jacob, M., Dubois, J., Maleska, A. M., Hirtz, C., et al. (2020) · Journal of Alzheimer's Disease · doi:10.3233/jad-190378 · Cited by 21 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Zhu, N., Santos-Santos, M., Illán-Gala, I., Montal, V., Estellés, T., Barroeta, I., Altuna, M., Arranz, J., Muñoz, L., Belbin, O., et al. (2021) · Translational Neurodegeneration · doi:10.1186/s40035-021-00275-w · Cited by 86 · see citing works
Sheth, U., Öijerstedt, L., Heckman, M. G., White, L. J., Heuer, H. W., Lario Lago, A., Forsberg, L. K., Faber, K. M., Foroud, T. M., Rademakers, R., et al. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00821-4 · Cited by 20 · see citing works
“Consistent with our findings, some studies found higher blood GFAP [12] and NfL [54, 55] to predict shorter survival in participants with FTD, whereas another study found no association of GFAP with risk of death [11].”
The role of neurofilament light in genetic frontotemporal lobar degeneration
Zetterberg, H., Teunissen, C., van Swieten, J., Kuhle, J., Boxer, A., Rohrer, J. D., Mitic, L., Nicholson, A. M., Pearlman, R., McCaughey, S. M., et al. (2022) · Brain Communications · doi:10.1093/braincomms/fcac310 · Cited by 19 · see citing works
- Authors
- Katisko, K., Cajanus, A., Huber, N., Jääskeläinen, O., Kokkola, T., Kärkkäinen, V., Rostalski, H., Hartikainen, P., Koivisto, A. M., Hannonen, S., Lehtola, J.-M., Korhonen, V. E., Helisalmi, S., Koivumaa-Honkanen, H., Herukka, S.-K., Remes, A. M., Solje, E., & Haapasalo, A.
- Affiliations
- University of Eastern Finland (FI)
- Kuopio University Hospital (FI)
- University of Helsinki (FI)
- Oulu University Hospital (FI)
- Corresponding author
- Solje, Eino
- ORCID
- Venue
- Journal of Neurology, Neurosurgery & Psychiatry
- Publisher
- BMJ
- Published
- 2021-06-29
- Volume
- 92
- Issue
- 12
- Pages
- 1305-1312
- ISSN
- 0022-3050 (ISSN-L)
- 1468-330X
- OpenAlex
- W3176477588
- Cited by
- 65
- References
- 7
- Citations by year
- 2026: 8 · 2025: 16 · 2024: 18 · 2023: 8 · 2022: 10 · 2021: 5
- FWCI
- 7.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Neurology Neurosurgery & Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Sigrid Juséliuksen Säätiö (No grant number)
- Päivikki ja Sakari Sohlbergin Säätiö (No grant number)
- Yrjö Jahnssonin Säätiö (No grant number)
- Suomen Aivosäätiö (No grant number)
- Suomen Akatemia (315459, 315460)
- EU Horizon 2020, Marie Skłodowska-Curie grant agreement (740264)
- Suomen Lääketieteen Säätiö (3764)
- Maire Taposen Säätiö (No grant number)
- OLVI-Säätiö (No grant number)
- Instrumentariumin Tiedesäätiö (No grant number)
- Orionin Tutkimussäätiö (No grant number)
- Oulun Yliopisto (No grant number)
- Pohjois-Savon Rahasto (No grant number)
- Kuopion Yliopistollinen Sairaala (No grant number)
- Maud Kuistilan Muistosäätiö (No grant number)
- Academy of Finland (325022)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Neurology › Amyotrophic Lateral Sclerosis Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- glial fibrillary acidic protein, blood-based biomarkers, frontotemporal lobar degeneration, primary psychiatric disorders, differential diagnosis, astrocyte activation, C9orf72 repeat expansion, brain atrophy, survival prediction, disease progression
- MeSH terms
- Aged, Atrophy, Brain, Female, Glial Fibrillary Acidic Protein, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Prognosis, Sensitivity and Specificity, Biomarkers, Survival Rate, Disease Progression, Frontotemporal Dementia
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 ›
Are you an author, or do you see a problem with this page? Request a review