-
Je něco špatně v tomto záznamu ?
The potential of serum neurofilament as biomarker for multiple sclerosis
S. Bittner, J. Oh, EK. Havrdová, M. Tintoré, F. Zipp
Jazyk angličtina Země Velká Británie
Typ dokumentu časopisecké články, práce podpořená grantem, přehledy
NLK
Free Medical Journals
od 1996 do Před 1 rokem
Open Access Digital Library
od 1996-01-01
PubMed
34180982
DOI
10.1093/brain/awab241
Knihovny.cz E-zdroje
- MeSH
- biologické markery krev MeSH
- lidé MeSH
- longitudinální studie MeSH
- magnetická rezonanční tomografie metody trendy MeSH
- neurofilamentové proteiny krev MeSH
- prognóza MeSH
- roztroušená skleróza krev diagnostické zobrazování MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- přehledy MeSH
Multiple sclerosis is a highly heterogeneous disease, and the detection of neuroaxonal damage as well as its quantification is a critical step for patients. Blood-based serum neurofilament light chain (sNfL) is currently under close investigation as an easily accessible biomarker of prognosis and treatment response in patients with multiple sclerosis. There is abundant evidence that sNfL levels reflect ongoing inflammatory-driven neuroaxonal damage (e.g. relapses or MRI disease activity) and that sNfL levels predict disease activity over the next few years. In contrast, the association of sNfL with long-term clinical outcomes or its ability to reflect slow, diffuse neurodegenerative damage in multiple sclerosis is less clear. However, early results from real-world cohorts and clinical trials using sNfL as a marker of treatment response in multiple sclerosis are encouraging. Importantly, clinical algorithms should now be developed that incorporate the routine use of sNfL to guide individualized clinical decision-making in people with multiple sclerosis, together with additional fluid biomarkers and clinical and MRI measures. Here, we propose specific clinical scenarios where implementing sNfL measures may be of utility, including, among others: initial diagnosis, first treatment choice, surveillance of subclinical disease activity and guidance of therapy selection.
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc22003151
- 003
- CZ-PrNML
- 005
- 20220127150627.0
- 007
- ta
- 008
- 220113s2021 xxk f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1093/brain/awab241 $2 doi
- 035 __
- $a (PubMed)34180982
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxk
- 100 1_
- $a Bittner, Stefan $u Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz 55131, Germany
- 245 14
- $a The potential of serum neurofilament as biomarker for multiple sclerosis / $c S. Bittner, J. Oh, EK. Havrdová, M. Tintoré, F. Zipp
- 520 9_
- $a Multiple sclerosis is a highly heterogeneous disease, and the detection of neuroaxonal damage as well as its quantification is a critical step for patients. Blood-based serum neurofilament light chain (sNfL) is currently under close investigation as an easily accessible biomarker of prognosis and treatment response in patients with multiple sclerosis. There is abundant evidence that sNfL levels reflect ongoing inflammatory-driven neuroaxonal damage (e.g. relapses or MRI disease activity) and that sNfL levels predict disease activity over the next few years. In contrast, the association of sNfL with long-term clinical outcomes or its ability to reflect slow, diffuse neurodegenerative damage in multiple sclerosis is less clear. However, early results from real-world cohorts and clinical trials using sNfL as a marker of treatment response in multiple sclerosis are encouraging. Importantly, clinical algorithms should now be developed that incorporate the routine use of sNfL to guide individualized clinical decision-making in people with multiple sclerosis, together with additional fluid biomarkers and clinical and MRI measures. Here, we propose specific clinical scenarios where implementing sNfL measures may be of utility, including, among others: initial diagnosis, first treatment choice, surveillance of subclinical disease activity and guidance of therapy selection.
- 650 _2
- $a biologické markery $x krev $7 D015415
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a longitudinální studie $7 D008137
- 650 _2
- $a magnetická rezonanční tomografie $x metody $x trendy $7 D008279
- 650 _2
- $a roztroušená skleróza $x krev $x diagnostické zobrazování $7 D009103
- 650 _2
- $a neurofilamentové proteiny $x krev $7 D016900
- 650 _2
- $a prognóza $7 D011379
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 655 _2
- $a přehledy $7 D016454
- 700 1_
- $a Oh, Jiwon $u Division of Neurology, Department of Medicine, St Michael's Hospital, University of Toronto, Toronto, Ontario M5S 3H2, Canada
- 700 1_
- $a Havrdová, Eva Kubala $u Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague 116 36, Czech Republic
- 700 1_
- $a Tintoré, Mar $u Department of Neurology, Hospital General Universitari Vall D'Hebron, Cemcat, Barcelona 08035, Spain
- 700 1_
- $a Zipp, Frauke $u Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz 55131, Germany
- 773 0_
- $w MED00009356 $t Brain : a journal of neurology $x 1460-2156 $g Roč. 144, č. 10 (2021), s. 2954-2963
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/34180982 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y p $z 0
- 990 __
- $a 20220113 $b ABA008
- 991 __
- $a 20220127150623 $b ABA008
- 999 __
- $a ok $b bmc $g 1750804 $s 1154300
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2021 $b 144 $c 10 $d 2954-2963 $e 20211129 $i 1460-2156 $m Brain $n Brain $x MED00009356
- LZP __
- $a Pubmed-20220113