CHIT1 at diagnosis predicts faster disability progression and reflects early microglial activation in multiple sclerosis
| dc.contributor.author | Belien, Jarne | |
| dc.contributor.author | Swinnen, Stijn | |
| dc.contributor.author | D'hondt, Robbe | |
| dc.contributor.author | de Juan, Laia Verdu | |
| dc.contributor.author | Dedoncker, Nina | |
| dc.contributor.author | Matthys, Patrick | |
| dc.contributor.author | Bauer, Jan | |
| dc.contributor.author | Vens, Celine | |
| dc.contributor.author | Moylett, Sinead | |
| dc.contributor.author | Dubois, Benedicte | |
| dc.date.accessioned | 2024-10-14T12:40:58Z | |
| dc.date.available | 2024-06-27T17:51:43Z | |
| dc.date.available | 2024-10-14T12:40:58Z | |
| dc.date.issued | 2024 | |
| dc.identifier.issn | 2041-1723 | |
| dc.identifier.other | WOS:001248267400024 | |
| dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/44103.2 | |
| dc.source | WOS | |
| dc.title | CHIT1 at diagnosis predicts faster disability progression and reflects early microglial activation in multiple sclerosis | |
| dc.type | Journal article | |
| dc.contributor.imecauthor | D'hondt, Robbe | |
| dc.contributor.imecauthor | Vens, Celine | |
| dc.contributor.orcidimec | Vens, Celine::0000-0003-0983-256X | |
| dc.contributor.orcidimec | D'hondt, Robbe::0000-0001-7843-2178 | |
| dc.date.embargo | 2024-06-12 | |
| dc.identifier.doi | 10.1038/s41467-024-49312-y | |
| dc.source.numberofpages | 15 | |
| dc.source.peerreview | yes | |
| dc.source.beginpage | Art. 5013 | |
| dc.source.endpage | N/A | |
| dc.source.journal | NATURE COMMUNICATIONS | |
| dc.identifier.pmid | MEDLINE:38866782 | |
| dc.source.issue | 1 | |
| dc.source.volume | 15 | |
| imec.availability | Published - open access | |
| dc.description.wosFundingText | This study was funded by the National Multiple Sclerosis Society (International Progressive MS Alliance, PA-2002-36277, A. Goris), the Dutch MS Research Foundation (Monique Blom - de Wagt grant, 22-1146 MS, SM), MS-Liga Vlaanderen (A. Goris) and the Flemish government (through the AI Research Program, CV). J.Be and R.D. hold PhD Fellowships of the Research Foundation-Flanders (FWO-Vlaanderen, 11A0523N and 1S38023N). B.D. holds a research mandate of KU Leuven (BOF-FKO, Bijzonder Onderzoeksfonds - Fundamenteel Klinisch Onderzoeker). Some of the resources and services used in this work were provided by the VSC (Flemish Supercomputer Center), funded by the Research Foundation - Flanders (FWO) and the Flemish Government. Figure 4A was partially created with BioRender.com. This study made use of publicly available datasets and we wish to sincerely thank the authors for sharing their data. In particular, we would like to thank S.M. Kooistra for providing us with additional metadata on their samples. We acknowledge all developers who contributed to the excellent tools we were able to use in our analyses. Finally, the authors thank A. Goris for help with conceptualizing this study, L. Yshii, M. David and D. De Wit for fruitful discussions, K. Clysters and C. Thys for their contribution in sample collection, as well as all patients and their families for their willingness to participate in this study. |