Neurofilament light and GFAP predict survival in frontotemporal dementia spectrum: A population-based study

BACKGROUND: Survival estimates for frontotemporal lobar degeneration (FTLD)-related syndromes by incorporating fluid biomarkers are essential to better assess their prognostic value and explore how they might inform long-term outcomes in FTLD. Population-based registries provide valuable data for these predictions. The aim of the present study was to assess whether NfL and GFAP levels correlate with mortality risk in a population-based registry of incident FTLD. METHODS: Incident cases with FTLD-spectrum, occurring between 2018 and 2020, were followed for up to six years. Survival and hazard analysis according to biomarkers levels were conducted. RESULTS: Median survival was 6 years from symptom onset and 3 years from diagnosis. While FTD-ALS phenotype showed significantly shorter survival, no differences were observed among bvFTD, PPAs, and CBS/PSP. Biomarkers were significantly associated with survival. Higher plasma GFAP (HR = 1.006, 95%CIs 1.001-1.012; p = 0.026) and plasma NfL (HR = 1.027, 95%CIs 1.003-1.053; p = 0.025) were associated with increased mortality risk in bvFTD, PPAs, and CBS/PSP. CONCLUSIONS: These results highlight the potential of NfL and GFAP as valuable biomarkers for assessing prognosis in FTLD and underscore the importance of incorporating biomarker analysis into clinical practice for more accurate patient management. Further studies are needed to refine prognostic models for FTLD.

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Publication Details

Journal
Neurobiology of Disease
Published
2026-04-30
DOI
https://doi.org/10.1016/j.nbd.2026.107421
Primary Topic
Amyotrophic Lateral Sclerosis Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Neurofilament light and GFAP predict survival in frontotemporal dementia spectrum: A population-based study

Eleonora Rollo, Francesco Borlizzi, Giancarlo Logroscino, Chiara Zecca et al.
Neurobiology of Disease
Amyotrophic Lateral Sclerosis Research
article

Neurofilament light and GFAP predict survival in frontotemporal dementia spectrum: A population-based study

Eleonora Rollo, Francesco Borlizzi, Giancarlo Logroscino, Chiara Zecca, Daniele Urso, Maria Teresa Dell'Abate
article en

Abstract

BACKGROUND: Survival estimates for frontotemporal lobar degeneration (FTLD)-related syndromes by incorporating fluid biomarkers are essential to better assess their prognostic value and explore how they might inform long-term outcomes in FTLD. Population-based registries provide valuable data for these predictions. The aim of the present study was to assess whether NfL and GFAP levels correlate with mortality risk in a population-based registry of incident FTLD. METHODS: Incident cases with FTLD-spectrum, occurring between 2018 and 2020, were followed for up to six years. Survival and hazard analysis according to biomarkers levels were conducted. RESULTS: Median survival was 6 years from symptom onset and 3 years from diagnosis. While FTD-ALS phenotype showed significantly shorter survival, no differences were observed among bvFTD, PPAs, and CBS/PSP. Biomarkers were significantly associated with survival. Higher plasma GFAP (HR = 1.006, 95%CIs 1.001-1.012; p = 0.026) and plasma NfL (HR = 1.027, 95%CIs 1.003-1.053; p = 0.025) were associated with increased mortality risk in bvFTD, PPAs, and CBS/PSP. CONCLUSIONS: These results highlight the potential of NfL and GFAP as valuable biomarkers for assessing prognosis in FTLD and underscore the importance of incorporating biomarker analysis into clinical practice for more accurate patient management. Further studies are needed to refine prognostic models for FTLD.

Neurobiology of DiseaseVol. 225
University Hospital of Geneva (CH), University of Bari Aldo Moro (IT)
Regione Puglia
Good health and well-being
Openalex Percentile: Top 11%
Amyotrophic Lateral Sclerosis Research
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Neurofilament light and GFAP predict survival in frontotemporal dementia spectrum: A population-based study — Eleonora Rollo, Francesco Borlizzi, et al. · Neurobiology of Disease (2026) | TGRS Research Map | TGRS