GFAP, CHI3L1 and GCIPL Thickness as Baseline Predictors of Early Disability Progression in MS

Disability accumulation in multiple sclerosis often occurs independent of relapses and inflammatory activity, yet reliable predictors for early progression remain limited. Our aim was to evaluate the utility of baseline fluid and optical coherence tomography (OCT) biomarkers for predicting early disability progression in newly diagnosed relapsing-remitting MS (RRMS). We performed a monocentric observational cohort study on 72 RRMS patients that were enrolled within 6 months of diagnosis and followed for 2 years. Baseline serum and cerebrospinal fluid (CSF) samples were analyzed for neurofilament light chain (NfL), glial fibrillary acidic protein (GFAP) and chitinase-3-like protein 1 (CHI3L1). Confirmed disability progression at 1 year (1yCDP) was defined by either an increase in Expanded Disability Status Scale or a ≥20% worsening on Nine-Hole Peg Test or Timed 25-Foot Walk. Seventeen patients (23.6%) developed 1yCDP. Elevated baseline CSF GFAP (OR = 5.79, 95% CI 1.72-19.45; <i>p</i> = 0.005) and CSF CHI3L1 thickness (OR = 4.14, 95% CI 1.49-11.49; <i>p</i> = 0.006) and reduced ganglion cell-inner plexiform layer (GCIPL) thickness (OR = 0.90, 95% CI 0.84-0.97; <i>p</i> = 0.006) independently predicted 1yCDP. A multivariate model including age, CSF GFAP and GCIPL achieved AUC = 0.831, with a sensitivity of 87.5% and specificity of 61.5%. This study provides evidence that baseline patient profiling using CSF GFAP, CSF CHI3L1 and GCIPL thickness may help predict early disability progression in RRMS.

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Journal
International Journal of Molecular Sciences
Published
2025-12-05
DOI
https://doi.org/10.3390/ijms262411774
Primary Topic
Multiple Sclerosis Research Studies
Type
article
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article

GFAP, CHI3L1 and GCIPL Thickness as Baseline Predictors of Early Disability Progression in MS

Andrea Soricelli, Mihai Bostan, Cristina Tiu, Giovanni Smaldone et al.
International Journal of Molecular Sciences
Multiple Sclerosis Research Studies
article

GFAP, CHI3L1 and GCIPL Thickness as Baseline Predictors of Early Disability Progression in MS

Andrea Soricelli, Mihai Bostan, Cristina Tiu, Giovanni Smaldone, Vlad Eugen Tiu, C. Anghel, Irina Enache, A Balestrieri, Alina Popa‐Cherecheanu, Sonia Scippa
article en

Abstract

Disability accumulation in multiple sclerosis often occurs independent of relapses and inflammatory activity, yet reliable predictors for early progression remain limited. Our aim was to evaluate the utility of baseline fluid and optical coherence tomography (OCT) biomarkers for predicting early disability progression in newly diagnosed relapsing-remitting MS (RRMS). We performed a monocentric observational cohort study on 72 RRMS patients that were enrolled within 6 months of diagnosis and followed for 2 years. Baseline serum and cerebrospinal fluid (CSF) samples were analyzed for neurofilament light chain (NfL), glial fibrillary acidic protein (GFAP) and chitinase-3-like protein 1 (CHI3L1). Confirmed disability progression at 1 year (1yCDP) was defined by either an increase in Expanded Disability Status Scale or a ≥20% worsening on Nine-Hole Peg Test or Timed 25-Foot Walk. Seventeen patients (23.6%) developed 1yCDP. Elevated baseline CSF GFAP (OR = 5.79, 95% CI 1.72-19.45; <i>p</i> = 0.005) and CSF CHI3L1 thickness (OR = 4.14, 95% CI 1.49-11.49; <i>p</i> = 0.006) and reduced ganglion cell-inner plexiform layer (GCIPL) thickness (OR = 0.90, 95% CI 0.84-0.97; <i>p</i> = 0.006) independently predicted 1yCDP. A multivariate model including age, CSF GFAP and GCIPL achieved AUC = 0.831, with a sensitivity of 87.5% and specificity of 61.5%. This study provides evidence that baseline patient profiling using CSF GFAP, CSF CHI3L1 and GCIPL thickness may help predict early disability progression in RRMS.

International Journal of Molecular SciencesVol. 26(24)
Carol Davila University of Medicine and Pharmacy (RO), Clinical Emergency Hospital Bucharest (RO), Emergency University (US)
Openalex Percentile: Top 46%
Multiple Sclerosis Research Studies
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