001     1027025
005     20250204113901.0
024 7 _ |a 10.1016/j.msard.2024.105664
|2 doi
024 7 _ |a 2211-0348
|2 ISSN
024 7 _ |a 2211-0356
|2 ISSN
024 7 _ |a 10.34734/FZJ-2024-03591
|2 datacite_doi
024 7 _ |a 38735204
|2 pmid
024 7 _ |a WOS:001243115500001
|2 WOS
037 _ _ |a FZJ-2024-03591
082 _ _ |a 610
100 1 _ |a Schweitzer, Finja
|0 0000-0003-0707-0485
|b 0
245 _ _ |a Absence of JC polyomavirus in stool samples of patients with multiple sclerosis despite high anti-JCV antibodies in serum
260 _ _ |a Amsterdam [u.a.]
|c 2024
|b Elsevier
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1717995927_11605
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Background: Natalizumab is an effective treatment for relapsing multiple sclerosis (MS). During therapy, individualsare at increased risk of developing progressive multifocal leukoencephalopathy (PML). So far, therelevant reservoir for PML-type JC polyomavirus (JCV) remains elusive. We here tested if the detection of JCVDNAin stool of persons with MS treated with natalizumab could be a future tool for PML risk assessment.Methods: The presence of JCV-DNA in stool, urine, and whole blood of MS patients treated with natalizumab andknown serum anti-JCV antibodies index values (IV) was studied. Different DNA extraction methods, real-time(RT) and droplet digital (dd) PCR techniques were compared. JCV isolates were screened for PML-associatedvariants by sequencing.Results: Thirty MS patients treated with natalizumab were screened. For 21 patients, blood, stool, and urinesamples were available. These patients were stratified according to their serum anti-JCV antibody IV (high (>1.5,n = 12); medium (1.5–0.9, n = 2); low (<0.9, n = 1); negative (n = 6)). JCV-DNA could not be detected in thewhole blood or stool samples. Four urine samples had measurable JCV-DNA, ranging from 1.71×104–1.07×108international units (IU)/mL detected by RT-PCR, corresponding to 4.62×104–9.85×106 copies/mL measured byddPCR. All JCV variants were wild-type and derived from patients with high antibody IV.Conclusion: Stool-specific DNA extraction methods provided the highest quality of DNA, while the sensitivity ofddPCR and RT- PCR was comparable. Our findings do not support assessing stool samples for PML risk stratificationin persons with MS. Further studies are needed to explore where PML-associated viral variants arise.
536 _ _ |a 5251 - Multilevel Brain Organization and Variability (POF4-525)
|0 G:(DE-HGF)POF4-5251
|c POF4-525
|f POF IV
|x 0
536 _ _ |a DFG project 501362249 - Progressive multifokale Leukenzephalopathie: Biomarker für eine frühzeitige Diagnose, für die Risikovorhersage unter Immuntherapien sowie für ein Ansprechen auf eine zielgerichtete Therapie (501362249)
|0 G:(GEPRIS)501362249
|c 501362249
|x 1
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Ladwig, Anne
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Opala, Sarah
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Laurent, Sarah
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Schroeter, Michael
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Goelz, Susan
|0 P:(DE-HGF)0
|b 5
700 1 _ |a Fink, Gereon R.
|0 P:(DE-Juel1)131720
|b 6
|u fzj
700 1 _ |a Wieland, Ulrike
|0 P:(DE-HGF)0
|b 7
700 1 _ |a Silling, Steffi
|0 P:(DE-HGF)0
|b 8
700 1 _ |a Warnke, Clemens
|0 0000-0002-3510-9255
|b 9
|e Corresponding author
773 _ _ |a 10.1016/j.msard.2024.105664
|g Vol. 87, p. 105664 -
|0 PERI:(DE-600)2645330-7
|p 105664 -
|t Multiple Sclerosis and Related Disorders
|v 87
|y 2024
|x 2211-0348
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/1027025/files/PDF.pdf
856 4 _ |y OpenAccess
|x icon
|u https://juser.fz-juelich.de/record/1027025/files/PDF.gif?subformat=icon
856 4 _ |y OpenAccess
|x icon-1440
|u https://juser.fz-juelich.de/record/1027025/files/PDF.jpg?subformat=icon-1440
856 4 _ |y OpenAccess
|x icon-180
|u https://juser.fz-juelich.de/record/1027025/files/PDF.jpg?subformat=icon-180
856 4 _ |y OpenAccess
|x icon-640
|u https://juser.fz-juelich.de/record/1027025/files/PDF.jpg?subformat=icon-640
909 C O |o oai:juser.fz-juelich.de:1027025
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 6
|6 P:(DE-Juel1)131720
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-525
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Decoding Brain Organization and Dysfunction
|9 G:(DE-HGF)POF4-5251
|x 0
914 1 _ |y 2024
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2023-08-26
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2023-08-26
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b MULT SCLER RELAT DIS : 2022
|d 2025-01-06
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2025-01-06
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2025-01-06
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2025-01-06
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2025-01-06
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2025-01-06
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)INM-3-20090406
|k INM-3
|l Kognitive Neurowissenschaften
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)INM-3-20090406
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21