Evidence map›Paper›PMID 38866782›Full record

ArticleNature communications2024

CHIT1 at diagnosis predicts faster disability progression and reflects early microglial activation in multiple sclerosis.

Jarne Beliën, Stijn Swinnen, Robbe D'hondt, Laia Verdú de Juan, Nina Dedoncker, Patrick Matthys, Jan Bauer, Celine Vens, Sinéad Moylett, Bénédicte Dubois

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  11. Elevated levels of cerebrospinal fluid CHIT1 correlate with disease activity in neuromyelitis optica spectrum disorder.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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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

10 authors.

Jarne Beliën *Laboratory for Neuroimmunology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0001-6731-6649
Stijn Swinnen *Laboratory for Neuroimmunology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0003-1028-197X
Robbe D'hondtDepartment of Public Health and Primary Care, KU Leuven, Kortrijk, Belgium.ORCID http://orcid.org/0000-0001-7843-2178
Laia Verdú de JuanDepartment of Neuroimmunology, Center for Brain Research, Medical University of Vienna, Vienna, Austria.
Nina DedonckerLaboratory for Neuroimmunology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium.
Patrick MatthysLaboratory of Immunobiology, Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0002-9685-6836
Jan BauerDepartment of Neuroimmunology, Center for Brain Research, Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0001-5802-8047
Celine VensDepartment of Public Health and Primary Care, KU Leuven, Kortrijk, Belgium.ORCID http://orcid.org/0000-0003-0983-256X
Sinéad MoylettLaboratory for Neuroimmunology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium.
Bénédicte DuboisLaboratory for Neuroimmunology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium. benedicte.dubois@uzleuven.be.ORCID http://orcid.org/0000-0003-0604-8702

Funding

Fonds Wetenschappelijk Onderzoek (Research Foundation Flanders) 11A0523NFonds Wetenschappelijk Onderzoek (Research Foundation Flanders) 1S38023NKU Leuven (Katholieke Universiteit Leuven) BOF-FKONational Multiple Sclerosis Society (National MS Society) PA-2002-36277
6 · The paper itself

Abstract

Multiple sclerosis (MS) is characterized by heterogeneity in disease course and prediction of long-term outcome remains a major challenge. Here, we investigate five myeloid markers - CHIT1, CHI3L1, sTREM2, GPNMB and CCL18 - in the cerebrospinal fluid (CSF) at diagnostic lumbar puncture in a longitudinal cohort of 192 MS patients. Through mixed-effects and machine learning models, we show that CHIT1 is a robust predictor for faster disability progression. Integrative analysis of 11 CSF and 26 central nervous system (CNS) parenchyma single-cell/nucleus RNA sequencing samples reveals CHIT1 to be predominantly expressed by microglia located in active MS lesions and enriched for lipid metabolism pathways. Furthermore, we find CHIT1 expression to accompany the transition from a homeostatic towards a more activated, MS-associated cell state in microglia. Neuropathological evaluation in post-mortem tissue from 12 MS patients confirms CHIT1 production by lipid-laden phagocytes in actively demyelinating lesions, already in early disease stages. Altogether, we provide a rationale for CHIT1 as an early biomarker for faster disability progression in MS.

Indexed as

BiomarkersDisease ProgressionMicrogliaMultiple SclerosisAdultChitinase-3-Like Protein 1FemaleHexosaminidasesHumansLongitudinal StudiesMaleMiddle AgedBiomarkersChitinase-3-Like Protein 1chitotriosidaseHexosaminidases

Identifiers

PMID38866782
PMCPMC11169395

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.