001     281734
005     20251013094932.0
024 7 _ |a 10.1016/j.ebiom.2025.105930
|2 doi
024 7 _ |a pmid:40974909
|2 pmid
024 7 _ |a pmc:PMC12481134
|2 pmc
037 _ _ |a DZNE-2025-01167
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Fazeli, Badrieh
|b 0
245 _ _ |a Comparative analysis of cerebrospinal fluid neurofilament medium, light and heavy chain in neurodegenerative diseases using an in-house assay for the detection of neurofilament medium chain.
260 _ _ |a Amsterdam [u.a.]
|c 2025
|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 1760341606_8165
|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 Neurofilaments are key axonal proteins, with neurofilament light (NfL) and heavy (NfH) chain recognised as promising biomarkers for neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS). However, neurofilament medium chain (NfM) remained previously underexplored due to a lack of quantitative assays. In this study, we developed a sensitive immunoassay to measure NfM in cerebrospinal fluid (CSF) and analysed its levels in ALS, Alzheimer's disease (AD), frontotemporal dementia (FTD), and Lewy body dementia (LBD). Correlations among neurofilaments and their diagnostic performance were also evaluated.In this study CSF levels of three neurofilament proteins were measured in 305 participants, including patients with ALS (n = 91), AD (n = 59), FTD (n = 38), LBD (n = 18), non-neurodegenerative controls (CTRL, n = 51), and 48 individuals initially evaluated for ALS but ultimately diagnosed with other conditions (CTRL.DD). NfM levels were quantified using a homemade sandwich ELISA, while NfL and NfH were measured using commercialised Ella cartridges.All three neurofilaments were significantly elevated in ALS compared to CTRL and CTRL.DD groups (p < 0.0001 for both), with NfM and NfL also increased in FTD (p < 0.0001 for both) and AD (NfM, p < 0.0001; NfL, p = 0.0001) compared to CTRL. NfH demonstrated the greatest distinction between ALS and FTD (p < 0.0001). Strong correlations were observed among neurofilament subunits, particularly between NfM and NfL (r = 0.93, 95% CI: 0.91-0.94, p < 0.0001). All neurofilaments effectively distinguished ALS from CTRL and CTRL.DD, with AUC values ranging from 0.92 to 0.99. NfM and NfL showed high accuracy in differentiating AD (NfM, AUC: 0.91; NfL, AUC: 0.89) and FTD (NfM, AUC: 0.91; NfL, AUC: 0.92) from CTRL, while NfH best separated ALS from FTD (AUC: 0.96).This study provides a quantitative comparison of NfM with NfL and NfH in a neurodegenerative cohort, highlighting its potential diagnostic value. Further research with larger cohorts, longitudinal studies, and investigations into neurofilament distribution in different compartments is needed to clarify the distinct roles of NfM, NfL, and NfH in the diagnosis and treatment of neurological diseases.The present study was supported by the Else Kroener-Fresenius Foundation (2024-EKEA.126) and Chemische Fabrik Karl Bucher GmbH.
536 _ _ |a 353 - Clinical and Health Care Research (POF4-353)
|0 G:(DE-HGF)POF4-353
|c POF4-353
|f POF IV
|x 0
536 _ _ |a 354 - Disease Prevention and Healthy Aging (POF4-354)
|0 G:(DE-HGF)POF4-354
|c POF4-354
|f POF IV
|x 1
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: pub.dzne.de
650 _ 7 |a Alzheimer's diseases
|2 Other
650 _ 7 |a Amyotrophic lateral sclerosis
|2 Other
650 _ 7 |a ELISA
|2 Other
650 _ 7 |a Fluid biomarkers
|2 Other
650 _ 7 |a Neurofilament medium chain
|2 Other
650 _ 7 |a Neurofilament Proteins
|2 NLM Chemicals
650 _ 7 |a Biomarkers
|2 NLM Chemicals
650 _ 7 |a neurofilament protein L
|2 NLM Chemicals
650 _ 7 |a neurofilament protein M
|0 111365-29-8
|2 NLM Chemicals
650 _ 7 |a neurofilament protein H
|0 108688-71-7
|2 NLM Chemicals
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Neurofilament Proteins: cerebrospinal fluid
|2 MeSH
650 _ 2 |a Male
|2 MeSH
650 _ 2 |a Female
|2 MeSH
650 _ 2 |a Biomarkers: cerebrospinal fluid
|2 MeSH
650 _ 2 |a Neurodegenerative Diseases: cerebrospinal fluid
|2 MeSH
650 _ 2 |a Neurodegenerative Diseases: diagnosis
|2 MeSH
650 _ 2 |a Aged
|2 MeSH
650 _ 2 |a Middle Aged
|2 MeSH
650 _ 2 |a Amyotrophic Lateral Sclerosis: cerebrospinal fluid
|2 MeSH
650 _ 2 |a Amyotrophic Lateral Sclerosis: diagnosis
|2 MeSH
650 _ 2 |a ROC Curve
|2 MeSH
650 _ 2 |a Aged, 80 and over
|2 MeSH
650 _ 2 |a Frontotemporal Dementia: cerebrospinal fluid
|2 MeSH
650 _ 2 |a Frontotemporal Dementia: diagnosis
|2 MeSH
700 1 _ |a Botzenhardt, Sara
|b 1
700 1 _ |a Bachhuber, Franziska
|b 2
700 1 _ |a Klassen, Paula Cynthia
|0 P:(DE-2719)9001969
|b 3
700 1 _ |a Klose, Veronika
|0 P:(DE-2719)9001084
|b 4
|u dzne
700 1 _ |a Dorst, Johannes
|0 P:(DE-2719)9001951
|b 5
|u dzne
700 1 _ |a Wiesenfarth, Maximilian
|b 6
700 1 _ |a Uzelac, Zeljko
|b 7
700 1 _ |a Jesse, Sarah
|0 P:(DE-2719)9001441
|b 8
|u dzne
700 1 _ |a Brenner, David
|0 P:(DE-2719)9002137
|b 9
|u dzne
700 1 _ |a Anderl-Straub, Sarah
|b 10
700 1 _ |a Ludolph, Albert
|0 P:(DE-2719)2812633
|b 11
|u dzne
700 1 _ |a Otto, Markus
|b 12
700 1 _ |a Weishaupt, Jochen
|b 13
700 1 _ |a Tumani, Hayrettin
|0 P:(DE-2719)9002007
|b 14
|u dzne
700 1 _ |a Halbgebauer, Steffen
|0 P:(DE-2719)9002026
|b 15
|e Last author
|u dzne
773 _ _ |a 10.1016/j.ebiom.2025.105930
|g Vol. 120, p. 105930 -
|0 PERI:(DE-600)2799017-5
|p 105930
|t EBioMedicine
|v 120
|y 2025
|x 2352-3964
856 4 _ |u https://pub.dzne.de/record/281734/files/DZNE-2025-01167.pdf
|y Restricted
856 4 _ |u https://pub.dzne.de/record/281734/files/DZNE-2025-01167.pdf?subformat=pdfa
|x pdfa
|y Restricted
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 3
|6 P:(DE-2719)9001969
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 4
|6 P:(DE-2719)9001084
910 1 _ |a External Institute
|0 I:(DE-HGF)0
|k Extern
|b 5
|6 P:(DE-2719)9001951
910 1 _ |a External Institute
|0 I:(DE-HGF)0
|k Extern
|b 8
|6 P:(DE-2719)9001441
910 1 _ |a External Institute
|0 I:(DE-HGF)0
|k Extern
|b 9
|6 P:(DE-2719)9002137
910 1 _ |a External Institute
|0 I:(DE-HGF)0
|k Extern
|b 11
|6 P:(DE-2719)2812633
910 1 _ |a External Institute
|0 I:(DE-HGF)0
|k Extern
|b 14
|6 P:(DE-2719)9002007
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 15
|6 P:(DE-2719)9002026
913 1 _ |a DE-HGF
|b Gesundheit
|l Neurodegenerative Diseases
|1 G:(DE-HGF)POF4-350
|0 G:(DE-HGF)POF4-353
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Clinical and Health Care Research
|x 0
913 1 _ |a DE-HGF
|b Gesundheit
|l Neurodegenerative Diseases
|1 G:(DE-HGF)POF4-350
|0 G:(DE-HGF)POF4-354
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Disease Prevention and Healthy Aging
|x 1
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b EBIOMEDICINE : 2022
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2023-05-02T08:51:17Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2023-05-02T08:51:17Z
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Anonymous peer review
|d 2023-05-02T08:51:17Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2025-01-07
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2025-01-07
915 _ _ |a IF >= 10
|0 StatID:(DE-HGF)9910
|2 StatID
|b EBIOMEDICINE : 2022
|d 2025-01-07
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2025-01-07
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2025-01-07
920 1 _ |0 I:(DE-2719)5000077
|k Clinical Study Center (Ulm)
|l Clinical Study Center (Ulm)
|x 0
920 1 _ |0 I:(DE-2719)1910005
|k AG Zhan
|l Neuroepidemiology
|x 1
980 _ _ |a journal
980 _ _ |a EDITORS
980 _ _ |a VDBINPRINT
980 _ _ |a I:(DE-2719)5000077
980 _ _ |a I:(DE-2719)1910005
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21