Evaluating the potential of sNfL as a biomarker in MS management in the UK: insights from SUNLIT survey

Current evidence supports the use of NfL as a biomarker for neuroaxonal damage in multiple sclerosis (MS), but translation from clinical trials to clinical practice is needed to guide optimal patient management. The SUNLIT survey, led by the Novartis medical science liaisons in collaboration with leading MS experts, aimed to assess the utility of sNfL as a biomarker for MS in routine clinical practice within UK. The survey included key questions to assess the clinician’s opinion and level of understanding of sNfL, experience with sNfL measurement, potential drivers and barriers to sNfL testing, identification of potential patient targets and potential impact of sNfL testing on the management of MS, and the role of guidelines for on the adoption of sNfL into clinical practice for MS management across the UK. A total of 86 clinicians (neurologists specialising in MS, n = 45; MS nurse practitioners, n = 41) from the UK participated in the survey. All HCPs responded to all the survey questions. The findings from the neurologist interviews were positive, supporting the use of sNfL if available (98%). Neurologists perceived that sNfL testing could be used at multiple points in the MS patient management pathway, commonly at treatment switch or initiation, and that it could potentially reduce frequency of MRI scans. The majority of clinicians demonstrated a moderate level of understanding regarding sNfL data in MS; with most clinicians perceiving a need for additional education, and low awareness of existing guidelines on sNfL testing in MS management. Access to sNfL testing and potential confounders like age and BMI were identified as potential barriers to its implementation. The SUNLIT survey provides important insights into the opinion of HCPs on the potential role of sNfL as a biomarker for MS in the UK. The high level of interest in sNfL testing, coupled with the identified barriers and need for additional education, highlights the need for concerted efforts to support the adoption of sNfL in clinical practice. By addressing these challenges, sNfL has the potential to significantly enhance the management of MS, providing clinicians with a valuable tool for monitoring disease activity and informing treatment decisions.

Authors

Institutions

Publication Details

Journal
BMC Neurology
Published
2025-12-23
DOI
https://doi.org/10.1186/s12883-025-04547-0
Primary Topic
Multiple Sclerosis Research Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating the potential of sNfL as a biomarker in MS management in the UK: insights from SUNLIT survey

Paul W. Gallagher, Jade Marsh, Tarunya Arun, Michael Rushworth et al.
BMC Neurology
Multiple Sclerosis Research Studies
article

Evaluating the potential of sNfL as a biomarker in MS management in the UK: insights from SUNLIT survey

Paul W. Gallagher, Jade Marsh, Tarunya Arun, Michael Rushworth, Nazanin R. Kondori, Sharmilee Gnanapavan
article en

Abstract

Current evidence supports the use of NfL as a biomarker for neuroaxonal damage in multiple sclerosis (MS), but translation from clinical trials to clinical practice is needed to guide optimal patient management. The SUNLIT survey, led by the Novartis medical science liaisons in collaboration with leading MS experts, aimed to assess the utility of sNfL as a biomarker for MS in routine clinical practice within UK. The survey included key questions to assess the clinician’s opinion and level of understanding of sNfL, experience with sNfL measurement, potential drivers and barriers to sNfL testing, identification of potential patient targets and potential impact of sNfL testing on the management of MS, and the role of guidelines for on the adoption of sNfL into clinical practice for MS management across the UK. A total of 86 clinicians (neurologists specialising in MS, n = 45; MS nurse practitioners, n = 41) from the UK participated in the survey. All HCPs responded to all the survey questions. The findings from the neurologist interviews were positive, supporting the use of sNfL if available (98%). Neurologists perceived that sNfL testing could be used at multiple points in the MS patient management pathway, commonly at treatment switch or initiation, and that it could potentially reduce frequency of MRI scans. The majority of clinicians demonstrated a moderate level of understanding regarding sNfL data in MS; with most clinicians perceiving a need for additional education, and low awareness of existing guidelines on sNfL testing in MS management. Access to sNfL testing and potential confounders like age and BMI were identified as potential barriers to its implementation. The SUNLIT survey provides important insights into the opinion of HCPs on the potential role of sNfL as a biomarker for MS in the UK. The high level of interest in sNfL testing, coupled with the identified barriers and need for additional education, highlights the need for concerted efforts to support the adoption of sNfL in clinical practice. By addressing these challenges, sNfL has the potential to significantly enhance the management of MS, providing clinicians with a valuable tool for monitoring disease activity and informing treatment decisions.

BMC NeurologyVol. 26(1)
Princess Alexandra Hospital NHS Trust (GB), University Hospitals Coventry and Warwickshire NHS Trust (GB), University of Warwick (GB), Novartis (United Kingdom) (GB), Queen Elizabeth University Hospital (GB)
Openalex Percentile: Top 30%
Multiple Sclerosis Research Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.