# Biomarker discovery using NUcleic Acid-Linked Immuno-Sandwich Assay in multiple sclerosis patients experiencing progression independent of relapse activity

**Authors:** Sofia Sandgren, Aleksandra Maleska Maceski, Pascal Benkert, Maximilian Einsiedler, Sabine Schaedelin, Johanna Oechtering, Lutz Achtnichts, Patrice H Lalive, Stefanie Müller, Caroline Pot, Amanda Heslegrave, David Hunt, Jan Lycke, Robert Hoepner, Patrick Roth, Claudio Gobbi, Manuel Comabella, Tobias Derfuss, Ludwig Kappos, Cristina Granziera, Ahmed Abdelhak, David Leppert, Eline AJ Willemse, Henrik Zetterberg, Jens Kuhle

PMC · DOI: 10.1177/13524585251375780 · Multiple Sclerosis (Houndmills, Basingstoke, England) · 2025-10-14

## TL;DR

The study identifies glial fibrillary acidic protein (GFAP) and neurofilament light chain (NfL) as potential blood-based biomarkers for predicting disease progression in multiple sclerosis patients.

## Contribution

GFAP and NfL were found to be strongly predictive of progression independent of relapse activity in multiple sclerosis patients.

## Key findings

- GFAP and NfL were identified as significant predictors of PIRA using NULISA in pwMS.
- GFAP showed consistent hazard ratios across treatment groups and time points.
- 12 additional biomarker candidates were identified, though none passed multiple test corrections.

## Abstract

This cohort study aimed to identify blood-based biomarkers associated with progression independent of relapse activity (PIRA) in persons with multiple sclerosis (pwMS) using the multiplex NUcleic Acid-Linked Immuno-Sandwich Assay (NULISA).

NULISA ‘CNS Disease Panel’ and ‘Inflammation Panel’ were applied on plasma samples from pwMS following B cell-depleting therapy (BCDT; n = 185) or fingolimod (n = 200), median follow-up 4.0 (BCDT) and 9.1 (fingolimod) years. Plasma NULISA results (322 unique proteins; 0.9 and 1 year after treatment start, respectively) were investigated for their potential to prognosticate PIRA.

‘CNS Disease Panel’ derived glial fibrillary acidic protein (GFAP) and neurofilament light chain (NfL) were identified as predictive of PIRA by multivariable Cox regression models (GFAP: BCDT: hazard ratio (HR) = 1.79, 95% confidence interval (CI) = 1.26–2.55, p = 0.0011; fingolimod: HR = 1.73, 95% CI = 1.14–2.64, p = 0.0104; NfL: BCDT: HR = 1.99, 95% CI = 1.31–3.02, p = 0.0013). GFAP derived from the ‘Inflammation Panel’ exhibited patterns like those observed with ‘CNS Disease Panel’ derived GFAP. Beyond GFAP and NfL, 12 biomarker candidates predictive of PIRA were identified. No target passed multiple test corrections, but GFAP consistently showed the highest hazard.

Among over 300 proteins investigated by NULISA, GFAP was the main biomarker significantly associated with future PIRA risk in our cohort.

## Linked entities

- **Proteins:** GFAP (glial fibrillary acidic protein), NEFL (neurofilament light chain)
- **Diseases:** multiple sclerosis (MONDO:0005301)

## Full-text entities

- **Diseases:** pwMS (MESH:D009105), CNS Disease (MESH:D002493), Inflammation (MESH:D007249), multiple sclerosis (MESH:D009103)
- **Chemicals:** fingolimod (MESH:D000068876)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12589673/full.md

## References

33 references — full list in the complete paper: https://tomesphere.com/paper/PMC12589673/full.md

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Source: https://tomesphere.com/paper/PMC12589673