A novel multiplexed biomarker panel reveals key molecular pathways in progressive multiple sclerosis
Year: 2026
Type: article
Study design: Observational Study
Abstract: Progressive multiple sclerosis is characterized by gradual neurological decline, often occurring independently of relapses or MRI activity-a phenomenon known as progression independent of relapse and MRI activity (PIRMA). Despite the effectiveness of disease-modifying therapies in controlling inflammatory activity, identifying individuals at risk of PIRMA remains an unmet clinical need. The objective of this exploratory study was to identify biomarkers and underlying molecular pathways associated with multiple sclerosis progression and especially PIRMA. Using the NUcleic acid Linked Immuno-Sandwich Assay (NULISA) inflammatory panel, we quantified 250 immune-related proteins in CSF and plasma from 49 controls, 49 patients with early active relapsing-remitting multiple sclerosis (RRMS) and 33 patients with inactive progressive multiple sclerosis (iPMS). Longitudinal clinical data were used to define PIRMA and conversion to secondary progressive multiple sclerosis (SPMS). We identified distinct proteomic signatures in CSF of both RRMS and iPMS patients compared with controls, with no significant differences in plasma. Both were associated with elevated markers of adaptive immunity, while iPMS showed a shift towards innate immune markers. Among RRMS patients, low baseline CSF concentrations of KIT ligand (KITLG) predicted both conversion to SPMS and future PIRMA events. Receiver operating characteristic analysis demonstrated KITLG's potential as a prognostic biomarker. Additionally, plasma concentrations of interleukin 1 beta and 36 gamma were elevated in RRMS patients who later developed SPMS. A model selection analysis identified a two-protein logistic regression model including interleukin 1 beta and interleukin 36 gamma as the best-performing combination (area under the curve = 0.990). Our findings reveal distinct immunological profiles across multiple sclerosis subtypes and identify KITLG as a promising biomarker for predicting disease progression and PIRMA. These results highlight potential targets for therapeutic intervention and demonstrate the utility of NULISA in uncovering novel molecular signatures in multiple sclerosis.
Source: Brain Communications
Institutions: University of Gothenburg, Sahlgrenska University Hospital, Region Västra Götaland, University of Wisconsin–Madison, Hong Kong University of Science and Technology, UK Dementia Research Institute, UCL Queen Square Institute of Neurology, University College London, Indian Institute of Science Bangalore
Language: English
Subfield: Pathology and Forensic Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $4,024
Funders: Alzheimer's Association, Alzheimer's Drug Discovery Foundation, Åke Wiberg Stiftelse, Familjen Erling-Perssons Stiftelse, Rune och Ulla Amlövs Stiftelse för Neurologisk och Reumatologisk Forskning, Stiftelsen för Gamla Tjänarinnor, University of South Alabama, EU Joint Programme – Neurodegenerative Disease Research, Swedish Foundation for MS Research, European Partnership on Metrology, Stiftelserna Wilhelm och Martina Lundgrens, Vetenskapsrådet, Göteborgs Läkaresällskap, UK Dementia Research Institute, Olav Thon Stiftelsen, National Institutes of Health, Horizon 2020, UCLH Biomedical Research Centre
OpenAlex ID: W7154748470