Neurodegenerative and inflammatory biomarkers are detectable in saliva in multiple sclerosis

The growing incidence of multiple sclerosis (MS), a neuroinflammatory and neurodegenerative disease, poses challenges for healthcare, as diagnosis and monitoring rely on expensive and/or invasive procedures, including MRI and lumbar puncture. Biomarkers in more accessible biofluids than CSF (serum, saliva, nasal secretion, tears) may aid early diagnosis and monitoring of progression and response to treatment. We investigated MS-associated biomarkers in accessible biofluids collected from 37 people living with MS and 23 healthy controls. Biomarkers analysed were neurofilament light chain (NfL), glial fibrillary acidic protein (GFAP), free light chains (κFLC and λFLC), chitinase-3-like 1 (CH3L1), chemokine-ligand-13 (CXCL13) and soluble triggering receptor expressed on myeloid cells (sTREM2). Linear regression analyses were used to determine mean differences between experimental groups and diagnostic accuracy of biomarkers assessed by generating receiver operating characteristic (ROC) curves. All biomarkers were measurable in both serum and saliva. All but CXCL13 and sTREM2 were detectable in nasal secretion samples, but none were detectable in tears. Levels of NfL (p = 0.03), κFLC (p = 0.003), and CHI3L1 (p = 0.021) were all significantly higher in the saliva samples of people with MS. Our findings suggest that these biomarkers are detectable in the proposed sample types, and, particularly in saliva, show potential in identifying inflammation and neurodegeneration in MS. Follow-up longitudinal studies with a larger cohort are needed to establish these methods as inexpensive and non-invasive means of monitoring MS.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-05-29
DOI
https://doi.org/10.1038/s41598-026-51273-9
Primary Topic
Multiple Sclerosis Research Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Neurodegenerative and inflammatory biomarkers are detectable in saliva in multiple sclerosis

A Pandit, A. P. Bocanegra-Lopez, J. M. McMahon, B. Counihan et al.
Scientific Reports
Multiple Sclerosis Research Studies
article

Neurodegenerative and inflammatory biomarkers are detectable in saliva in multiple sclerosis

A Pandit, A. P. Bocanegra-Lopez, J. M. McMahon, B. Counihan, B. Castelli, S. Moosavizadeh, K. Das, S. Shapoori, Una FitzGerald
article en

Abstract

The growing incidence of multiple sclerosis (MS), a neuroinflammatory and neurodegenerative disease, poses challenges for healthcare, as diagnosis and monitoring rely on expensive and/or invasive procedures, including MRI and lumbar puncture. Biomarkers in more accessible biofluids than CSF (serum, saliva, nasal secretion, tears) may aid early diagnosis and monitoring of progression and response to treatment. We investigated MS-associated biomarkers in accessible biofluids collected from 37 people living with MS and 23 healthy controls. Biomarkers analysed were neurofilament light chain (NfL), glial fibrillary acidic protein (GFAP), free light chains (κFLC and λFLC), chitinase-3-like 1 (CH3L1), chemokine-ligand-13 (CXCL13) and soluble triggering receptor expressed on myeloid cells (sTREM2). Linear regression analyses were used to determine mean differences between experimental groups and diagnostic accuracy of biomarkers assessed by generating receiver operating characteristic (ROC) curves. All biomarkers were measurable in both serum and saliva. All but CXCL13 and sTREM2 were detectable in nasal secretion samples, but none were detectable in tears. Levels of NfL (p = 0.03), κFLC (p = 0.003), and CHI3L1 (p = 0.021) were all significantly higher in the saliva samples of people with MS. Our findings suggest that these biomarkers are detectable in the proposed sample types, and, particularly in saliva, show potential in identifying inflammation and neurodegeneration in MS. Follow-up longitudinal studies with a larger cohort are needed to establish these methods as inexpensive and non-invasive means of monitoring MS.

Scientific Reports
Science Foundation Ireland (IE), Ollscoil na Gaillimhe – University of Galway (IE), Trinity College Dublin (IE), University Hospital Galway (IE), COPE Galway (IE)
Galway University Foundation, Research Ireland
Good health and well-being
Openalex Percentile: Top 6%
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.