Evidence map›Paper›PMID 42215518›Full record

ArticleScientific reports2026

Neurodegenerative and inflammatory biomarkers are detectable in saliva in multiple sclerosis.

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

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

B Castelli *CÚRAM, Research Ireland Centre for Medical Devices, Galway, Ireland.
S Shapoori *CÚRAM, Research Ireland Centre for Medical Devices, Galway, Ireland.
J M McMahonCÚRAM, Research Ireland Centre for Medical Devices, Galway, Ireland.
K DasCÚRAM, Research Ireland Centre for Medical Devices, Galway, Ireland.
A P Bocanegra-LopezCÚRAM, Research Ireland Centre for Medical Devices, Galway, Ireland.
S MoosavizadehRegenerative Medicine Institute, University of Galway, Galway, Ireland.
B CounihanTrinity College Dublin School of Medicine, Dublin, Ireland.
A PanditCÚRAM, Research Ireland Centre for Medical Devices, Galway, Ireland.
Una FitzGeraldCÚRAM, Research Ireland Centre for Medical Devices, Galway, Ireland. una.fitzgerald@universityofgalway.ie.

Funding

Galway University Foundation RGF023Research Ireland 13/RC/2073_P2 Government of Ireland Postgraduate Scholarship-GOI (GOIScience Foundation Ireland lifETIME CDT 18/EPSRC-CDT/3583
6 · The paper itself

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.

Indexed as

BiomarkersMultiple SclerosisSalivaAdultChemokine CXCL13Chitinase-3-Like Protein 1FemaleGlial Fibrillary Acidic ProteinHumansInflammationMaleMembrane GlycoproteinsMiddle AgedNeurofilament ProteinsReceptors, ImmunologicBiomarkersChemokine CXCL13CHI3L1 protein, humanChitinase-3-Like Protein 1CXCL13 protein, humanGlial Fibrillary Acidic ProteinMembrane Glycoproteinsneurofilament protein LNeurofilament ProteinsReceptors, ImmunologicTREM2 protein, human

Identifiers

PMID42215518
PMCPMC13454482

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