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Neidhart S, Vlad B, Hilty M, Högelin KA, Ziegler M, Berenjeno-Correa E, Reichen I, Stridh P, Jelcic I, Khademi M, Kockum I, Sospedra M, Al Nimer F, Martin R, Jelcic I. HLA Associations of Intrathecal IgG Production against Specific Viruses in Multiple Sclerosis. Ann Neurol 2024; 95:1112-1126. [PMID: 38551149 DOI: 10.1002/ana.26921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 02/05/2024] [Accepted: 03/04/2024] [Indexed: 05/18/2024]
Abstract
OBJECTIVE Specific human leucocyte antigen (HLA) alleles are not only associated with higher risk to develop multiple sclerosis (MS) and other autoimmune diseases, but also with the severity of various viral and bacterial infections. Here, we analyzed the most specific biomarker for MS, that is, the polyspecific intrathecal IgG antibody production against measles, rubella, and varicella zoster virus (MRZ reaction), for possible HLA associations in MS. METHODS We assessed MRZ reaction from 184 Swiss patients with MS and clinically isolated syndrome (CIS) and 89 Swiss non-MS/non-CIS control patients, and performed HLA sequence-based typing, to check for associations of positive MRZ reaction with the most prevalent HLA alleles. We used a cohort of 176 Swedish MS/CIS patients to replicate significant findings. RESULTS Whereas positive MRZ reaction showed a prevalence of 38.0% in MS/CIS patients, it was highly specific (97.7%) for MS/CIS. We identified HLA-DRB1*15:01 and other tightly linked alleles of the HLA-DR15 haplotype as the strongest HLA-encoded risk factors for a positive MRZ reaction in Swiss MS/CIS (odds ratio [OR], 3.90, 95% confidence interval [CI] 2.05-7.46, padjusted = 0.0004) and replicated these findings in Swedish MS/CIS patients (OR 2.18, 95%-CI 1.16-4.02, padjusted = 0.028). In addition, female MS/CIS patients had a significantly higher probability for a positive MRZ reaction than male patients in both cohorts combined (padjusted <0.005). INTERPRETATION HLA-DRB1*15:01, the strongest genetic risk factor for MS, and female sex, 1 of the most prominent demographic risk factors for developing MS, predispose in MS/CIS patients for a positive MRZ reaction, the most specific CSF biomarker for MS. ANN NEUROL 2024;95:1112-1126.
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Affiliation(s)
- Stephan Neidhart
- Neuroimmunology and Multiple Sclerosis Research Section, Department of Neurology, University of Zurich and University Hospital, Zurich, Switzerland
| | - Benjamin Vlad
- Neuroimmunology and Multiple Sclerosis Research Section, Department of Neurology, University of Zurich and University Hospital, Zurich, Switzerland
| | - Marc Hilty
- Neuroimmunology and Multiple Sclerosis Research Section, Department of Neurology, University of Zurich and University Hospital, Zurich, Switzerland
| | - Klara Asplund Högelin
- Center for Molecular Medicine, Neuroimmunology Unit, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Mario Ziegler
- Neuroimmunology and Multiple Sclerosis Research Section, Department of Neurology, University of Zurich and University Hospital, Zurich, Switzerland
| | - Ernesto Berenjeno-Correa
- Neuroimmunology and Multiple Sclerosis Research Section, Department of Neurology, University of Zurich and University Hospital, Zurich, Switzerland
| | - Ina Reichen
- Neuroimmunology and Multiple Sclerosis Research Section, Department of Neurology, University of Zurich and University Hospital, Zurich, Switzerland
| | - Pernilla Stridh
- Center for Molecular Medicine, Neuroimmunology Unit, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Ivan Jelcic
- Neuroimmunology and Multiple Sclerosis Research Section, Department of Neurology, University of Zurich and University Hospital, Zurich, Switzerland
| | - Mohsen Khademi
- Center for Molecular Medicine, Neuroimmunology Unit, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Ingrid Kockum
- Center for Molecular Medicine, Neuroimmunology Unit, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Mireia Sospedra
- Neuroimmunology and Multiple Sclerosis Research Section, Department of Neurology, University of Zurich and University Hospital, Zurich, Switzerland
- Clinical Research Priority Program MS (CRPP) PrecisionMS of the University of Zurich, Zurich, Switzerland
| | - Faiez Al Nimer
- Center for Molecular Medicine, Neuroimmunology Unit, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Roland Martin
- Neuroimmunology and Multiple Sclerosis Research Section, Department of Neurology, University of Zurich and University Hospital, Zurich, Switzerland
- Clinical Research Priority Program MS (CRPP) PrecisionMS of the University of Zurich, Zurich, Switzerland
- Center for Molecular Medicine, Therapeutic Immune Design Unit, Department of Clinical Neuroscience, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Ilijas Jelcic
- Neuroimmunology and Multiple Sclerosis Research Section, Department of Neurology, University of Zurich and University Hospital, Zurich, Switzerland
- Clinical Research Priority Program MS (CRPP) PrecisionMS of the University of Zurich, Zurich, Switzerland
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Cordano C, Werneburg S, Abdelhak A, Bennett DJ, Beaudry-Richard A, Duncan GJ, Oertel FC, Boscardin WJ, Yiu HH, Jabassini N, Merritt L, Nocera S, Sin JH, Samana IP, Condor Montes SY, Ananth K, Bischof A, Nourbakhsh B, Hauser SL, Cree BAC, Emery B, Schafer DP, Chan JR, Green AJ. Synaptic injury in the inner plexiform layer of the retina is associated with progression in multiple sclerosis. Cell Rep Med 2024; 5:101490. [PMID: 38574736 PMCID: PMC11031420 DOI: 10.1016/j.xcrm.2024.101490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 02/01/2024] [Accepted: 03/12/2024] [Indexed: 04/06/2024]
Abstract
While neurodegeneration underlies the pathological basis for permanent disability in multiple sclerosis (MS), predictive biomarkers for progression are lacking. Using an animal model of chronic MS, we find that synaptic injury precedes neuronal loss and identify thinning of the inner plexiform layer (IPL) as an early feature of inflammatory demyelination-prior to symptom onset. As neuronal domains are anatomically segregated in the retina and can be monitored longitudinally, we hypothesize that thinning of the IPL could represent a biomarker for progression in MS. Leveraging our dataset with over 800 participants enrolled for more than 12 years, we find that IPL atrophy directly precedes progression and propose that synaptic loss is predictive of functional decline. Using a blood proteome-wide analysis, we demonstrate a strong correlation between demyelination, glial activation, and synapse loss independent of neuroaxonal injury. In summary, monitoring synaptic injury is a biologically relevant approach that reflects a potential driver of progression.
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Affiliation(s)
- Christian Cordano
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA; Department of Neurology, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Sebastian Werneburg
- Department of Neurobiology, Brudnik Neuropsychiatric Research Institute, University of Massachusetts Chan Medical School, Worcester, MA, USA; Department of Ophthalmology & Visual Sciences, Michigan Neuroscience Institute, University of Michigan - Michigan Medicine, Ann Arbor, MI, USA
| | - Ahmed Abdelhak
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Daniel J Bennett
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Alexandra Beaudry-Richard
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Greg J Duncan
- Jungers Center for Neurosciences Research, Department of Neurology, Oregon Health & Science University, Portland, OR, USA
| | - Frederike C Oertel
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - W John Boscardin
- Department of Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Hao H Yiu
- Department of Biology, University of Maryland, College Park, MD, USA
| | - Nora Jabassini
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Lauren Merritt
- Department of Neurobiology, Brudnik Neuropsychiatric Research Institute, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Sonia Nocera
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Jung H Sin
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Isaac P Samana
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Shivany Y Condor Montes
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Kirtana Ananth
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Antje Bischof
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Bardia Nourbakhsh
- Department of Neurology, Johns Hopkins University, Baltimore, MD, USA
| | - Stephen L Hauser
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Bruce A C Cree
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Ben Emery
- Jungers Center for Neurosciences Research, Department of Neurology, Oregon Health & Science University, Portland, OR, USA
| | - Dorothy P Schafer
- Department of Neurobiology, Brudnik Neuropsychiatric Research Institute, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Jonah R Chan
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.
| | - Ari J Green
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.
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Abdelhak A, Antweiler K, Kowarik MC, Senel M, Havla J, Zettl UK, Kleiter I, Skripuletz T, Haarmann A, Stahmann A, Huss A, Gingele S, Krumbholz M, Benkert P, Kuhle J, Friede T, Ludolph AC, Ziemann U, Kümpfel T, Tumani H. Serum glial fibrillary acidic protein and disability progression in progressive multiple sclerosis. Ann Clin Transl Neurol 2024; 11:477-485. [PMID: 38111972 PMCID: PMC10863922 DOI: 10.1002/acn3.51969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 10/29/2023] [Accepted: 11/21/2023] [Indexed: 12/20/2023] Open
Abstract
OBJECTIVE Progression prediction is a significant unmet need in people with progressive multiple sclerosis (pwPMS). Studies on glial fibrillary acidic protein (GFAP) have either been limited to single center with relapsing MS or were based solely on Expanded Disability Status Scale (EDSS), which limits its generalizability to state-of-the-art clinical settings and trials applying combined outcome parameters. METHODS Serum GFAP and NfL (neurofilament light chain) were investigated in EmBioProMS participants with primary (PP) or secondary progressive MS. Six months confirmed disability progression (CDP) was defined using combined outcome parameters (EDSS, timed-25-foot walk test (T25FW), and nine-hole-peg-test (9HPT)). RESULTS 243 subjects (135 PPMS, 108 SPMS, age 55.5, IQR [49.7-61.2], 135 female, median follow-up: 29.3 months [17.9-40.9]) were included. NfL (age-) and GFAP (age- and sex-) adjusted Z scores were higher in pwPMS compared to HC (p < 0.001 for both). 111 (32.8%) CDP events were diagnosed in participants with ≥3 visits (n = 169). GFAP Z score >3 was associated with higher risk for CDP in participants with low NfL Z score (i.e., ≤1.0) (HR: 2.38 [1.12-5.08], p = 0.025). In PPMS, GFAP Z score >3 was associated with higher risk for CDP (HR: 2.88 [1.21-6.84], p = 0.016). Risk was further increased in PPMS subjects with high GFAP when NfL is low (HR: 4.31 [1.53-12.13], p = 0.006). INTERPRETATION Blood GFAP may help identify pwPPMS at risk of progression. Combination of high GFAP and low NfL levels could distinguish non-active pwPMS with particularly high progression risk.
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Affiliation(s)
- Ahmed Abdelhak
- Department of NeurologyUniversity of California San Francisco (UCSF)San FranciscoCaliforniaUSA
- Department of NeurologyUniversity Hospital of UlmUlmGermany
| | - Kai Antweiler
- Department of Medical StatisticsUniversity Medical Centre GöttingenGöttingenGermany
| | - Markus C. Kowarik
- Department of Neurology and StrokeUniversity Hospital of TübingenTübingenGermany
- Hertie Institute for Clinical Brain ResearchUniversity of TübingenTübingenGermany
| | - Makbule Senel
- Department of NeurologyUniversity Hospital of UlmUlmGermany
| | - Joachim Havla
- Institute of Clinical Neuroimmunology, LMU HospitalLudwig‐Maximilians UniversityMunichGermany
| | - Uwe K. Zettl
- Department of Neurology, Neuroimmunological SectionUniversity of RostockRostockGermany
| | - Ingo Kleiter
- Marianne‐Strauß‐KlinikBehandlungszentrum Kempfenhausen für Multiple Sklerose Kranke gGmbHBergGermany
| | | | - Axel Haarmann
- Department of NeurologyUniversity Hospital WürzburgWürzburgGermany
| | - Alexander Stahmann
- Forschungs‐ und Projektentwicklungs‐gGmbHMS‐Registry by the German MS‐SocietyHanoverGermany
| | - Andre Huss
- Department of NeurologyUniversity Hospital of UlmUlmGermany
| | - Stefan Gingele
- Department of NeurologyHannover Medical SchoolHanoverGermany
| | - Markus Krumbholz
- Department of Neurology and StrokeUniversity Hospital of TübingenTübingenGermany
- Hertie Institute for Clinical Brain ResearchUniversity of TübingenTübingenGermany
- Department of Neurology and Pain Treatment, Multiple Sclerosis Center, Center for Translational Medicine, Immanuel Klinik RüdersdorfUniversity Hospital of the Brandenburg Medical School Theodor FontaneRüdersdorf bei BerlinGermany
- Faculty of Health Sciences BrandenburgBrandenburg Medical School Theodor FontaneRüdersdorf bei BerlinGermany
| | - Pascal Benkert
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Department of BiomedicineUniversity Hospital and University of BaselBaselSwitzerland
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Department of Clinical ResearchUniversity Hospital and University of BaselBaselSwitzerland
- Department of NeurologyUniversity Hospital and University of BaselBaselSwitzerland
| | - Jens Kuhle
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Department of BiomedicineUniversity Hospital and University of BaselBaselSwitzerland
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Department of Clinical ResearchUniversity Hospital and University of BaselBaselSwitzerland
- Department of NeurologyUniversity Hospital and University of BaselBaselSwitzerland
| | - Tim Friede
- Department of Medical StatisticsUniversity Medical Centre GöttingenGöttingenGermany
| | - Albert C. Ludolph
- Department of NeurologyUniversity Hospital of UlmUlmGermany
- German Center for Neurodegenerative DiseasesUlmGermany
| | - Ulf Ziemann
- Department of Neurology and StrokeUniversity Hospital of TübingenTübingenGermany
- Hertie Institute for Clinical Brain ResearchUniversity of TübingenTübingenGermany
| | - Tania Kümpfel
- Institute of Clinical Neuroimmunology, LMU HospitalLudwig‐Maximilians UniversityMunichGermany
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Zondra Revendova K, Svub K, Bunganic R, Pelisek O, Volny O, Ganesh A, Bar M, Zeman D, Kusnierova P. A comparison of measles-rubella-zoster reaction, oligoclonal IgG bands, oligoclonal kappa free light chains and kappa index in multiple sclerosis. Mult Scler Relat Disord 2024; 81:105125. [PMID: 37980789 DOI: 10.1016/j.msard.2023.105125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Revised: 10/26/2023] [Accepted: 11/04/2023] [Indexed: 11/21/2023]
Abstract
BACKGROUND AND OBJECTIVES To evaluate the diagnostic performance of the measles-rubella-zoster reaction (MRZR) in a large real-world multiple sclerosis (MS) cohort. Second, to compare MRZR with the determination of oligoclonal IgG bands (OCB), oligoclonal kappa free light chain bands (oKFLC), and the KFLC index. METHODS A single-center retrospective study was conducted at the University Hospital Ostrava (Czech Republic). Patients were eligible if aged ≥18 years with a determined clinical diagnosis. IgG antibodies against measles (M), rubella (R), and varicella zoster (Z) viruses were determined in paired CSF and serum using ELISA and MRZR indicated as positive if at least two components had an antibody index >1.4. OCB and oKFLC were detected by means of isoelectric focusing, and KFLC CSF and serum concentrations for calculation of the KFLC index were determined immunochemically. RESULTS A total of 1,751 patients were included in the analyzed data set, which comprised 379 MS patients and 1,372 non-MS controls. The frequency of positive MRZR was higher in MS than in non-MS cases (MS 32.2 % vs non-MS 2.8 %; p < 0.001). This corresponded to a specificity of 97.2 % (95 % CI 96.1-98.0) and sensitivity of 32.2 % (95 % CI 27.5-37.2) and overall accuracy of 83.1 % (95 % CI 81.3-84.8). In comparison, the highest sensitivity of 95.6% (95 % CI 93.0-97.5) was for OCB with specificity of 86.9 % (95 % CI 84.9-88.7), followed by oKFLC with sensitivity and specificity of 94.7 % (95 % CI 91.5-96.9) and 78.4% (95 % CI 75.7-80.8), respectively, and the KFLC index with sensitivity of 92.5 % (95 % CI 86.6-96.3) and specificity of 93.5 % (95 % CI 90.5-95.9). DISCUSSION MRZR remains a very specific test for the diagnosis of MS but has low sensitivity, which disallows its independent use. In contrast, OCB showed the highest sensitivity and thus remains the gold standard for the diagnosis of MS.
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Affiliation(s)
- Kamila Zondra Revendova
- Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic; Department of Clinical Neurosciences, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic.
| | - Krystof Svub
- Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Radovan Bunganic
- Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic; Department of Clinical Neurosciences, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
| | - Ondrej Pelisek
- Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Ondrej Volny
- Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic; Department of Clinical Neurosciences, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic; Institute of Health Information and Statistics of the Czech Republic, Prague, Czech Republic
| | - Aravind Ganesh
- Departments of Clinical Neurosciences and Community Health Sciences, the Hotchkiss Brain Institute and the O'Brien Institute for Public Health, University of Calgary Cumming School of Medicine, Calgary, Canada
| | - Michal Bar
- Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic; Department of Clinical Neurosciences, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
| | - David Zeman
- Institute of Laboratory Medicine, University Hospital Brno, Brno, Czech Republic
| | - Pavlina Kusnierova
- Institute of Laboratory Medicine, University Hospital Ostrava, Ostrava, Czech Republic; Institute of Laboratory Medicine, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
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5
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Kouchaki E, Dashti F, Mirazimi SMA, Alirezaei Z, Jafari SH, Hamblin MR, Mirzaei H. Neurofilament light chain as a biomarker for diagnosis of multiple sclerosis. EXCLI JOURNAL 2021; 20:1308-1325. [PMID: 34602928 PMCID: PMC8481790 DOI: 10.17179/excli2021-3973] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 07/22/2021] [Indexed: 12/16/2022]
Abstract
The treatments for multiple sclerosis (MS) have improved over the past 25 years, but now the main question for physicians is deciding who should receive treatment, for how long, and when to switch to other options. These decisions are typically based on treatment tolerance and a reasonable expectation of long-term efficacy. A significant unmet need is the lack of accurate laboratory measurements for diagnosis, and monitoring of treatment response, including deterioration and disease progression. There are few validated biomarkers for MS, and in practice, physicians employ two biomarkers discovered fifty years ago for MS diagnosis, often in combination with MRI scans. These biomarkers are intrathecal IgG and oligoclonal bands in the CSF (cerebrospinal fluid). Neurofilament light chain (NfL) is a relatively new biomarker for MS diagnosis and follow up. Neurofilaments are neuron-specific cytoskeleton proteins that can be measured in various body compartments. NfL is a new biomarker for MS that can be measured in serum samples, but this still needs further study to specify the laboratory cut-off values in clinical practice. In the present review we discuss the evidence for NfL as a reliable biomarker for the early detection and management of MS. Moreover, we highlight the correlation between MRI and NfL, and ask whether they can be combined.
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Affiliation(s)
- Ebrahim Kouchaki
- MS Fellowship, Department of Neurology, School of Medicine, Physiology Research Center, Kashan University of Medical Sciences, Kashan, Iran
| | - Fatemeh Dashti
- School of Medicine, Kashan University of Medical Sciences, Kashan, Iran.,Student Research Committee, Kashan University of Medical Sciences, Kashan, Iran
| | - Seyed Mohammad Ali Mirazimi
- School of Medicine, Kashan University of Medical Sciences, Kashan, Iran.,Student Research Committee, Kashan University of Medical Sciences, Kashan, Iran
| | - Zahra Alirezaei
- Department of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.,Paramedical School, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Seyed Hamed Jafari
- Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.,School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Michael R Hamblin
- Laser Research Centre, Faculty of Health Science, University of Johannesburg, Doornfontein 2028, South Africa
| | - Hamed Mirzaei
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Institute for Basic Sciences, Kashan University of Medical Sciences, Kashan, IR, Iran
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Meinl E, Krumbholz M. Endogenous soluble receptors sBCMA and sTACI: biomarker, immunoregulator and hurdle for therapy in multiple myeloma. Curr Opin Immunol 2021; 71:117-123. [PMID: 34330018 DOI: 10.1016/j.coi.2021.06.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 06/15/2021] [Accepted: 06/18/2021] [Indexed: 12/16/2022]
Abstract
BAFF and APRIL regulate B cell homeostasis by binding to their three receptors BAFFR, BCMA and TACI. The complexity of this system is further increased by shedding of these three receptors; this reduces signaling due to the display of less surface receptors. Further, soluble forms, sBCMA and sTACI, were detected in body fluids and serve as biomarker in malignancies, autoimmune diseases and immunodeficiencies. sBCMA and sTACI function as decoys blocking BAFF and APRIL. BCMA is a promising therapeutic target in multiple myeloma, but sBCMA may reduce therapeutic activity of CAR T cells, bispecific antibodies, and antibody-drug conjugates. Insights into the biochemical mechanism of shedding of BCMA can be harnessed to improve BCMA-directed therapy by blocking its shedding with a γ-secretase inhibitor.
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Affiliation(s)
- Edgar Meinl
- Institute of Clinical Neuroimmunology, University Hospital, LMU Munich, Munich, Germany; Biomedical Center (BMC), Faculty of Medicine, LMU Munich, Martinsried, Germany.
| | - Markus Krumbholz
- Department of Neurology and Stroke, Hertie Institute for Clinical Brain Research, University of Tübingen, Germany
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7
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Liu C, Lu Y, Wang J, Chang Y, Wang Y, Chen C, Liu Z, Kermode AG, Zhang Y, Qiu W. Serum neurofilament light chain and glial fibrillary acidic protein in AQP4-IgG-seropositive neuromyelitis optica spectrum disorders and multiple sclerosis: A cohort study. J Neurochem 2021; 159:913-922. [PMID: 34278578 DOI: 10.1111/jnc.15478] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 07/14/2021] [Indexed: 12/20/2022]
Abstract
We investigated the serum neurofilament light chain (sNfL) and glial fibrillary acidic protein (sGFAP) levels in a cohort of Chinese patients with neuromyelitis optica spectrum disorders (NMOSD) and multiple sclerosis (MS) in relation to clinical disease course and treatment. sNfL and sGFAP levels were determined by ultrasensitive single molecule array (Simoa) assay in patients with NMOSD (n = 102) and MS (n = 98) and healthy controls (HCs; n = 84). Notably, 13 patients with NMOSD and 27 patients with MS were enrolled in the 1-year follow-up cohort. Levels were compared with data such as clinical course, disease duration, Expanded Disability Status Scale (EDSS) score, and lesions on MRI. Higher levels of sNfL and sGFAP were found in subjects with NMOSD and MS than in HCs (sNfL, median 12.11, 17.5 vs. 8.88 pg/ml, p < .05; sGFAP, median 130.2, 160.4 vs. 80.01 pg/ml, p < .05). Moreover, sNfL levels were higher in the relapse phase of MS than in the relapse phase of NMOSD (30.02 vs. 14.57 pg/ml, p < .05); sGFAP levels were higher in the remission phase of MS than in the remission phase of NMOSD (159.8 vs. 124.5 pg/ml, p < .01). A higher sGFAP/sNfL quotient at relapse differentiated NMOSD from MS. Multivariate analyses indicated that sGFAP levels were associated with the EDSS score in NMOSD (p < .05). At the 1-year follow-up, sNfL and sGFAP levels were both decreased in NMOSD patients in remission, while only sNfL levels were decreased in MS patients in remission. sGFAP and sNfL are potential blood biomarkers for diagnosing and monitoring NMOSD and MS.
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Affiliation(s)
- Chunxin Liu
- Neurology Department, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.,Emergency Department, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yaxin Lu
- Clinical Data Center, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Jingqi Wang
- Neurology Department, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yanyu Chang
- Neurology Department, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yuge Wang
- Neurology Department, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Chen Chen
- Neurology Department, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Zifeng Liu
- Clinical Data Center, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Allan G Kermode
- Neurology Department, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.,Perron Institute, University of Western Australia, Perth, WA, Australia
| | - Yongbiao Zhang
- Emergency Department, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Wei Qiu
- Neurology Department, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
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