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Snow NJ, Murphy HM, Chaves AR, Moore CS, Ploughman M. Transcranial magnetic stimulation enhances the specificity of multiple sclerosis diagnostic criteria: a critical narrative review. PeerJ 2024; 12:e17155. [PMID: 38563011 PMCID: PMC10984191 DOI: 10.7717/peerj.17155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 03/04/2024] [Indexed: 04/04/2024] Open
Abstract
Background Multiple sclerosis (MS) is an immune-mediated neurodegenerative disease that involves attacks of inflammatory demyelination and axonal damage, with variable but continuous disability accumulation. Transcranial magnetic stimulation (TMS) is a noninvasive method to characterize conduction loss and axonal damage in the corticospinal tract. TMS as a technique provides indices of corticospinal tract function that may serve as putative MS biomarkers. To date, no reviews have directly addressed the diagnostic performance of TMS in MS. The authors aimed to conduct a critical narrative review on the diagnostic performance of TMS in MS. Methods The authors searched the Embase, PubMed, Scopus, and Web of Science databases for studies that reported the sensitivity and/or specificity of any reported TMS technique compared to established clinical MS diagnostic criteria. Studies were summarized and critically appraised for their quality and validity. Results Seventeen of 1,073 records were included for data extraction and critical appraisal. Markers of demyelination and axonal damage-most notably, central motor conduction time (CMCT)-were specific, but not sensitive, for MS. Thirteen (76%), two (12%), and two (12%) studies exhibited high, unclear, and low risk of bias, respectively. No study demonstrated validity for TMS techniques as diagnostic biomarkers in MS. Conclusions CMCT has the potential to: (1) enhance the specificity of clinical MS diagnostic criteria by "ruling in" true-positives, or (2) revise a diagnosis from relapsing to progressive forms of MS. However, there is presently insufficient high-quality evidence to recommend any TMS technique in the diagnostic algorithm for MS.
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Affiliation(s)
- Nicholas J. Snow
- Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL, Canada
| | - Hannah M. Murphy
- Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL, Canada
| | - Arthur R. Chaves
- Faculty of Health Sciences, Interdisciplinary School of Health Sciences, University of Ottawa, Ottawa, ON, Canada
- Neuromodulation Research Clinic, The Royal’s Institute of Mental Health Research, Ottawa, ON, Canada
- Département de Psychoéducation et de Psychologie, Université du Québec en Outaouais, Gatineau, QC, Canada
| | - Craig S. Moore
- Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL, Canada
| | - Michelle Ploughman
- Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL, Canada
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Sánchez-Vera I, Escudero E, Muñoz Ú, Sádaba MC. IgM to phosphatidylcholine in multiple sclerosis patients: from the diagnosis to the treatment. Ther Adv Neurol Disord 2023; 16:17562864231189919. [PMID: 37599706 PMCID: PMC10437209 DOI: 10.1177/17562864231189919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 07/07/2023] [Indexed: 08/22/2023] Open
Abstract
Multiple sclerosis (MS) is a demyelinating and neurodegenerative disease of the central nervous system. It affects young people, and a considerable percentage of patients need the help of a wheelchair in 15 years of evolution. Currently, there is not a specific technique for the diagnosis of MS. The detection of oligoclonal IgG bands (OIgGBs) is the most sensitive assay for it, but it is not standardizable, only reference laboratories develop it, and uses cerebrospinal fluid. To obtain this sample, a lumbar puncture is necessary, an invasive proceeding with important side effects. It is important to develop and implement standard assays to obtain a rapid diagnosis because the earlier the treatment, the better the evolution of the disease. There are numerous modifying disease therapies, which delay the progression of the disease, but they have important side effects, and a considerable percentage of patients give up the treatment. In addition, around 40% of MS patients do not respond to the therapy and the disease progresses. Numerous researches have been focused on the characterization of predictive biomarkers of response to treatment, in order to help physicians to decide when to change to a second-line treatment, and then the best therapeutic option. Here, we review the new biomarkers for the diagnosis and response to treatment in MS. We draw attention in a new assay, the detection of serum IgM to phosphatidylcholine, that showed a similar sensitivity as OIgGBs and predicts the response to disease modifying treatments.
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Affiliation(s)
- Isabel Sánchez-Vera
- Facultad de Medicina, Instituto de Medicina Molecular Aplicada (IMMA), Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
| | - Esther Escudero
- Facultad de Medicina, Instituto de Medicina Molecular Aplicada (IMMA), Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
| | - Úrsula Muñoz
- Facultad de Medicina, Instituto de Medicina Molecular Aplicada (IMMA), Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
| | - María C. Sádaba
- Facultad de Medicina, Instituto de Medicina Molecular Aplicada (INMA), Universidad San Pablo-CEU, CEU Universities, Crta Boadilla del Monte Km 5,3, Madrid 28668, Spain
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3
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Immunopathogenesis, Diagnosis, and Treatment of Multiple Sclerosis. Neurol Clin 2022; 41:87-106. [DOI: 10.1016/j.ncl.2022.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Swanberg KM, Kurada AV, Prinsen H, Juchem C. Multiple sclerosis diagnosis and phenotype identification by multivariate classification of in vivo frontal cortex metabolite profiles. Sci Rep 2022; 12:13888. [PMID: 35974117 PMCID: PMC9381573 DOI: 10.1038/s41598-022-17741-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Accepted: 07/29/2022] [Indexed: 12/04/2022] Open
Abstract
Multiple sclerosis (MS) is a heterogeneous autoimmune disease for which diagnosis continues to rely on subjective clinical judgment over a battery of tests. Proton magnetic resonance spectroscopy (1H MRS) enables the noninvasive in vivo detection of multiple small-molecule metabolites and is therefore in principle a promising means of gathering information sufficient for multiple sclerosis diagnosis and subtype classification. Here we show that supervised classification using 1H-MRS-visible normal-appearing frontal cortex small-molecule metabolites alone can indeed differentiate individuals with progressive MS from control (held-out validation sensitivity 79% and specificity 68%), as well as between relapsing and progressive MS phenotypes (held-out validation sensitivity 84% and specificity 74%). Post hoc assessment demonstrated the disproportionate contributions of glutamate and glutamine to identifying MS status and phenotype, respectively. Our finding establishes 1H MRS as a viable means of characterizing progressive multiple sclerosis disease status and paves the way for continued refinement of this method as an auxiliary or mainstay of multiple sclerosis diagnostics.
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Affiliation(s)
- Kelley M. Swanberg
- grid.25879.310000 0004 1936 8972Department of Biomedical Engineering, Columbia University Fu Foundation School of Engineering and Applied Science, 351 Engineering Terrace, 1210 Amsterdam Avenue, Mail Code: 8904, New York, NY 10027 USA ,grid.47100.320000000419368710Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT USA
| | - Abhinav V. Kurada
- grid.25879.310000 0004 1936 8972Department of Biomedical Engineering, Columbia University Fu Foundation School of Engineering and Applied Science, 351 Engineering Terrace, 1210 Amsterdam Avenue, Mail Code: 8904, New York, NY 10027 USA
| | - Hetty Prinsen
- grid.47100.320000000419368710Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT USA
| | - Christoph Juchem
- grid.25879.310000 0004 1936 8972Department of Biomedical Engineering, Columbia University Fu Foundation School of Engineering and Applied Science, 351 Engineering Terrace, 1210 Amsterdam Avenue, Mail Code: 8904, New York, NY 10027 USA ,grid.47100.320000000419368710Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT USA ,grid.21729.3f0000000419368729Department of Radiology, Columbia University College of Physicians and Surgeons, New York, NY USA ,grid.47100.320000000419368710Department of Neurology, Yale University School of Medicine, New Haven, CT USA
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5
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Hosseiny M, Newsome SD, Yousem DM. Radiologically Isolated Syndrome: A Review for Neuroradiologists. AJNR Am J Neuroradiol 2020; 41:1542-1549. [PMID: 32763896 DOI: 10.3174/ajnr.a6649] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 05/04/2020] [Indexed: 12/24/2022]
Abstract
Radiologically isolated syndrome refers to an entity in which white matter lesions fulfilling the criteria for multiple sclerosis occur in individuals without a history of a clinical demyelinating attack or alternative etiology. Since its introduction in 2009, the diagnostic criteria of radiologically isolated syndrome and its clinical relevance have been widely debated by neurologists and radiologists. The aim of the present study was to review the following: 1) historical evolution of radiologically isolated syndrome criteria, 2) clinical and imaging findings in adults and children with radiologically isolated syndrome, 3) imaging features of patients with radiologically isolated syndrome at high risk for conversion to MS, and 4) challenges and controversies for work-up, management, and therapeutic interventions of patients with radiologically isolated syndrome.
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Affiliation(s)
- M Hosseiny
- From the Department of Radiological Sciences (M.H.), David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, California
| | - S D Newsome
- Department of Neurology (S.D.N.), Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - D M Yousem
- Russell H. Morgan Department of Radiology and Radiological Sciences (D.M.Y.), Johns Hopkins Medical Institution, Baltimore, Maryland.
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6
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Sádaba MC, Rothhammer V, Muñoz Ú, Sebal C, Escudero E, Kivisäkk P, Garcia Sanchez MI, Izquierdo G, Hauser SL, Baranzini SE, Oksenberg JR, Álvarez-Lafuente R, Bakshi R, Weiner HL, Quintana FJ. Serum antibodies to phosphatidylcholine in MS. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2020; 7:e765. [PMID: 32518205 PMCID: PMC7309529 DOI: 10.1212/nxi.0000000000000765] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Accepted: 04/09/2020] [Indexed: 12/23/2022]
Abstract
OBJECTIVE To evaluate the value of serum immunoglobulin G (IgG) and immunoglobulin M (IgM) antibodies reactive with phosphatidylcholine (PC) and lactosylceramide (LC) as biomarkers in MS. METHODS We developed an ultrasensitive ELISA technique to analyze serum IgG and IgM antibodies to LC and PC, which we used to analyze samples from 362 patients with MS, 10 patients with non-MS myelin diseases (Non-MSMYDs), 11 patients with nonmyelin neurologic diseases (Non-MYNDs), and 80 controls. MS serum samples included clinically isolated syndrome (CIS, n = 17), relapsing-remitting MS (RRMS, n = 62), secondary progressive MS (SPMS, n = 50), primary progressive MS (PPMS, n = 37), and benign MS (BENMS, n = 36). RESULTS We detected higher levels of serum IgM antibodies to PC (IgM-PC) in MS than control samples; patients with CIS and RRMS showed higher IgM-PC levels than patients with SPMS, PPMS, and BENMS and controls. MS and control samples did not differ in serum levels of IgM antibodies reactive with LC, nor in IgG antibodies reactive with LC or PC. CONCLUSIONS Serum IgM-PC antibodies are elevated in patients with MS, particularly during the CIS and RRMS phases of the disease. Thus, serum IgM-PC is a candidate biomarker for early inflammatory stages of MS. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that serum antibodies to PC are elevated in patients with MS. The study is rated Class III because of the case control design and the risk of spectrum bias: antibody levels in patients with MS were compared with healthy controls.
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Affiliation(s)
- Maria Cruz Sádaba
- From the Ann Romney Center for Neurologic Diseases (M.C.S., V.R., P.K., R.B., H.L.W., F.J.Q.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Facultad de Medicina (M.C.S., U.M., C.S., E.E.), Instituto de Medicina Molecular Aplicada (INMA), Universidad San Pablo-CEU, CEU Universities, Madrid; Molecular Biology Service and MS Unit (M.I.G.S., G.I.), University of Sevilla; Department of Neurology (S.L.H., S.E.B., J.R.O.), University of California, San Francisco; Instituto de Investigación Sanitaria San Carlos (IdISSC) (R.Á.-L.), Hospital Clínico San Carlos, Madrid, Spain; and The Broad Institute of Harvard and MIT (F.J.Q.), Cambridge, MA.
| | - Veit Rothhammer
- From the Ann Romney Center for Neurologic Diseases (M.C.S., V.R., P.K., R.B., H.L.W., F.J.Q.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Facultad de Medicina (M.C.S., U.M., C.S., E.E.), Instituto de Medicina Molecular Aplicada (INMA), Universidad San Pablo-CEU, CEU Universities, Madrid; Molecular Biology Service and MS Unit (M.I.G.S., G.I.), University of Sevilla; Department of Neurology (S.L.H., S.E.B., J.R.O.), University of California, San Francisco; Instituto de Investigación Sanitaria San Carlos (IdISSC) (R.Á.-L.), Hospital Clínico San Carlos, Madrid, Spain; and The Broad Institute of Harvard and MIT (F.J.Q.), Cambridge, MA
| | - Úrsula Muñoz
- From the Ann Romney Center for Neurologic Diseases (M.C.S., V.R., P.K., R.B., H.L.W., F.J.Q.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Facultad de Medicina (M.C.S., U.M., C.S., E.E.), Instituto de Medicina Molecular Aplicada (INMA), Universidad San Pablo-CEU, CEU Universities, Madrid; Molecular Biology Service and MS Unit (M.I.G.S., G.I.), University of Sevilla; Department of Neurology (S.L.H., S.E.B., J.R.O.), University of California, San Francisco; Instituto de Investigación Sanitaria San Carlos (IdISSC) (R.Á.-L.), Hospital Clínico San Carlos, Madrid, Spain; and The Broad Institute of Harvard and MIT (F.J.Q.), Cambridge, MA
| | - Cristina Sebal
- From the Ann Romney Center for Neurologic Diseases (M.C.S., V.R., P.K., R.B., H.L.W., F.J.Q.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Facultad de Medicina (M.C.S., U.M., C.S., E.E.), Instituto de Medicina Molecular Aplicada (INMA), Universidad San Pablo-CEU, CEU Universities, Madrid; Molecular Biology Service and MS Unit (M.I.G.S., G.I.), University of Sevilla; Department of Neurology (S.L.H., S.E.B., J.R.O.), University of California, San Francisco; Instituto de Investigación Sanitaria San Carlos (IdISSC) (R.Á.-L.), Hospital Clínico San Carlos, Madrid, Spain; and The Broad Institute of Harvard and MIT (F.J.Q.), Cambridge, MA
| | - Esther Escudero
- From the Ann Romney Center for Neurologic Diseases (M.C.S., V.R., P.K., R.B., H.L.W., F.J.Q.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Facultad de Medicina (M.C.S., U.M., C.S., E.E.), Instituto de Medicina Molecular Aplicada (INMA), Universidad San Pablo-CEU, CEU Universities, Madrid; Molecular Biology Service and MS Unit (M.I.G.S., G.I.), University of Sevilla; Department of Neurology (S.L.H., S.E.B., J.R.O.), University of California, San Francisco; Instituto de Investigación Sanitaria San Carlos (IdISSC) (R.Á.-L.), Hospital Clínico San Carlos, Madrid, Spain; and The Broad Institute of Harvard and MIT (F.J.Q.), Cambridge, MA
| | - Pia Kivisäkk
- From the Ann Romney Center for Neurologic Diseases (M.C.S., V.R., P.K., R.B., H.L.W., F.J.Q.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Facultad de Medicina (M.C.S., U.M., C.S., E.E.), Instituto de Medicina Molecular Aplicada (INMA), Universidad San Pablo-CEU, CEU Universities, Madrid; Molecular Biology Service and MS Unit (M.I.G.S., G.I.), University of Sevilla; Department of Neurology (S.L.H., S.E.B., J.R.O.), University of California, San Francisco; Instituto de Investigación Sanitaria San Carlos (IdISSC) (R.Á.-L.), Hospital Clínico San Carlos, Madrid, Spain; and The Broad Institute of Harvard and MIT (F.J.Q.), Cambridge, MA
| | - Maria Isabel Garcia Sanchez
- From the Ann Romney Center for Neurologic Diseases (M.C.S., V.R., P.K., R.B., H.L.W., F.J.Q.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Facultad de Medicina (M.C.S., U.M., C.S., E.E.), Instituto de Medicina Molecular Aplicada (INMA), Universidad San Pablo-CEU, CEU Universities, Madrid; Molecular Biology Service and MS Unit (M.I.G.S., G.I.), University of Sevilla; Department of Neurology (S.L.H., S.E.B., J.R.O.), University of California, San Francisco; Instituto de Investigación Sanitaria San Carlos (IdISSC) (R.Á.-L.), Hospital Clínico San Carlos, Madrid, Spain; and The Broad Institute of Harvard and MIT (F.J.Q.), Cambridge, MA
| | - Guillermo Izquierdo
- From the Ann Romney Center for Neurologic Diseases (M.C.S., V.R., P.K., R.B., H.L.W., F.J.Q.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Facultad de Medicina (M.C.S., U.M., C.S., E.E.), Instituto de Medicina Molecular Aplicada (INMA), Universidad San Pablo-CEU, CEU Universities, Madrid; Molecular Biology Service and MS Unit (M.I.G.S., G.I.), University of Sevilla; Department of Neurology (S.L.H., S.E.B., J.R.O.), University of California, San Francisco; Instituto de Investigación Sanitaria San Carlos (IdISSC) (R.Á.-L.), Hospital Clínico San Carlos, Madrid, Spain; and The Broad Institute of Harvard and MIT (F.J.Q.), Cambridge, MA
| | - Stephen L Hauser
- From the Ann Romney Center for Neurologic Diseases (M.C.S., V.R., P.K., R.B., H.L.W., F.J.Q.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Facultad de Medicina (M.C.S., U.M., C.S., E.E.), Instituto de Medicina Molecular Aplicada (INMA), Universidad San Pablo-CEU, CEU Universities, Madrid; Molecular Biology Service and MS Unit (M.I.G.S., G.I.), University of Sevilla; Department of Neurology (S.L.H., S.E.B., J.R.O.), University of California, San Francisco; Instituto de Investigación Sanitaria San Carlos (IdISSC) (R.Á.-L.), Hospital Clínico San Carlos, Madrid, Spain; and The Broad Institute of Harvard and MIT (F.J.Q.), Cambridge, MA
| | - Sergio E Baranzini
- From the Ann Romney Center for Neurologic Diseases (M.C.S., V.R., P.K., R.B., H.L.W., F.J.Q.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Facultad de Medicina (M.C.S., U.M., C.S., E.E.), Instituto de Medicina Molecular Aplicada (INMA), Universidad San Pablo-CEU, CEU Universities, Madrid; Molecular Biology Service and MS Unit (M.I.G.S., G.I.), University of Sevilla; Department of Neurology (S.L.H., S.E.B., J.R.O.), University of California, San Francisco; Instituto de Investigación Sanitaria San Carlos (IdISSC) (R.Á.-L.), Hospital Clínico San Carlos, Madrid, Spain; and The Broad Institute of Harvard and MIT (F.J.Q.), Cambridge, MA
| | - Jorge R Oksenberg
- From the Ann Romney Center for Neurologic Diseases (M.C.S., V.R., P.K., R.B., H.L.W., F.J.Q.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Facultad de Medicina (M.C.S., U.M., C.S., E.E.), Instituto de Medicina Molecular Aplicada (INMA), Universidad San Pablo-CEU, CEU Universities, Madrid; Molecular Biology Service and MS Unit (M.I.G.S., G.I.), University of Sevilla; Department of Neurology (S.L.H., S.E.B., J.R.O.), University of California, San Francisco; Instituto de Investigación Sanitaria San Carlos (IdISSC) (R.Á.-L.), Hospital Clínico San Carlos, Madrid, Spain; and The Broad Institute of Harvard and MIT (F.J.Q.), Cambridge, MA
| | - Roberto Álvarez-Lafuente
- From the Ann Romney Center for Neurologic Diseases (M.C.S., V.R., P.K., R.B., H.L.W., F.J.Q.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Facultad de Medicina (M.C.S., U.M., C.S., E.E.), Instituto de Medicina Molecular Aplicada (INMA), Universidad San Pablo-CEU, CEU Universities, Madrid; Molecular Biology Service and MS Unit (M.I.G.S., G.I.), University of Sevilla; Department of Neurology (S.L.H., S.E.B., J.R.O.), University of California, San Francisco; Instituto de Investigación Sanitaria San Carlos (IdISSC) (R.Á.-L.), Hospital Clínico San Carlos, Madrid, Spain; and The Broad Institute of Harvard and MIT (F.J.Q.), Cambridge, MA
| | - Rohit Bakshi
- From the Ann Romney Center for Neurologic Diseases (M.C.S., V.R., P.K., R.B., H.L.W., F.J.Q.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Facultad de Medicina (M.C.S., U.M., C.S., E.E.), Instituto de Medicina Molecular Aplicada (INMA), Universidad San Pablo-CEU, CEU Universities, Madrid; Molecular Biology Service and MS Unit (M.I.G.S., G.I.), University of Sevilla; Department of Neurology (S.L.H., S.E.B., J.R.O.), University of California, San Francisco; Instituto de Investigación Sanitaria San Carlos (IdISSC) (R.Á.-L.), Hospital Clínico San Carlos, Madrid, Spain; and The Broad Institute of Harvard and MIT (F.J.Q.), Cambridge, MA
| | - Howard L Weiner
- From the Ann Romney Center for Neurologic Diseases (M.C.S., V.R., P.K., R.B., H.L.W., F.J.Q.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Facultad de Medicina (M.C.S., U.M., C.S., E.E.), Instituto de Medicina Molecular Aplicada (INMA), Universidad San Pablo-CEU, CEU Universities, Madrid; Molecular Biology Service and MS Unit (M.I.G.S., G.I.), University of Sevilla; Department of Neurology (S.L.H., S.E.B., J.R.O.), University of California, San Francisco; Instituto de Investigación Sanitaria San Carlos (IdISSC) (R.Á.-L.), Hospital Clínico San Carlos, Madrid, Spain; and The Broad Institute of Harvard and MIT (F.J.Q.), Cambridge, MA
| | - Francisco J Quintana
- From the Ann Romney Center for Neurologic Diseases (M.C.S., V.R., P.K., R.B., H.L.W., F.J.Q.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Facultad de Medicina (M.C.S., U.M., C.S., E.E.), Instituto de Medicina Molecular Aplicada (INMA), Universidad San Pablo-CEU, CEU Universities, Madrid; Molecular Biology Service and MS Unit (M.I.G.S., G.I.), University of Sevilla; Department of Neurology (S.L.H., S.E.B., J.R.O.), University of California, San Francisco; Instituto de Investigación Sanitaria San Carlos (IdISSC) (R.Á.-L.), Hospital Clínico San Carlos, Madrid, Spain; and The Broad Institute of Harvard and MIT (F.J.Q.), Cambridge, MA.
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7
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Fernandes BS, Karmakar C, Tamouza R, Tran T, Yearwood J, Hamdani N, Laouamri H, Richard JR, Yolken R, Berk M, Venkatesh S, Leboyer M. Precision psychiatry with immunological and cognitive biomarkers: a multi-domain prediction for the diagnosis of bipolar disorder or schizophrenia using machine learning. Transl Psychiatry 2020; 10:162. [PMID: 32448868 PMCID: PMC7246255 DOI: 10.1038/s41398-020-0836-4] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 04/05/2020] [Accepted: 04/29/2020] [Indexed: 12/05/2022] Open
Abstract
Precision psychiatry is attracting increasing attention lately as a recognized priority. One of the goals of precision psychiatry is to develop tools capable of aiding a clinically informed psychiatric diagnosis objectively. Cognitive, inflammatory and immunological factors are altered in both bipolar disorder (BD) and schizophrenia (SZ), however, most of these alterations do not respect diagnostic boundaries from a phenomenological perspective and possess great variability in different individuals with the same phenotypic diagnosis and, consequently, none so far has proven to have the ability of reliably aiding in the differential diagnosis of BD and SZ. We developed a probabilistic multi-domain data integration model consisting of immune and inflammatory biomarkers in peripheral blood and cognitive biomarkers using machine learning to predict diagnosis of BD and SZ. A total of 416 participants, being 323, 372, and 279 subjects for blood, cognition and combined biomarkers analysis, respectively. Our multi-domain model performances for the BD vs. control (sensitivity 80% and specificity 71%) and for the SZ vs. control (sensitivity 84% and specificity 81%) pairs were high in general, however, our multi-domain model had only moderate performance for the differential diagnosis of BD and SZ (sensitivity 71% and specificity 73%). In conclusion, our results show that the diagnosis of BD and of SZ, and that the differential diagnosis of BD and SZ can be predicted with possible clinical utility by a computational machine learning algorithm employing blood and cognitive biomarkers, and that their integration in a multi-domain outperforms algorithms based in only one domain. Independent studies are needed to validate these findings.
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Affiliation(s)
- Brisa S. Fernandes
- grid.267308.80000 0000 9206 2401Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX USA ,grid.1021.20000 0001 0526 7079IMPACT – the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, Geelong, Australia
| | - Chandan Karmakar
- grid.1021.20000 0001 0526 7079School of Information Technology, Deakin University, Geelong, Australia ,grid.1021.20000 0001 0526 7079Applied Artificial Intelligence Institute (A2I2), Deakin University, Geelong, Australia
| | - Ryad Tamouza
- grid.462410.50000 0004 0386 3258AP-HP, Université Paris Est Créteil, Department of Psychiatry and Addictology, Mondor University Hospital, DMU IMPACT, Translational Neuro-Psychiatry laboratory, INSERM U955, Créteil, France ,grid.484137.dFondation FondaMental, Créteil, France
| | - Truyen Tran
- grid.1021.20000 0001 0526 7079Applied Artificial Intelligence Institute (A2I2), Deakin University, Geelong, Australia
| | - John Yearwood
- grid.1021.20000 0001 0526 7079School of Information Technology, Deakin University, Geelong, Australia
| | - Nora Hamdani
- grid.462410.50000 0004 0386 3258AP-HP, Université Paris Est Créteil, Department of Psychiatry and Addictology, Mondor University Hospital, DMU IMPACT, Translational Neuro-Psychiatry laboratory, INSERM U955, Créteil, France
| | | | - Jean-Romain Richard
- grid.462410.50000 0004 0386 3258AP-HP, Université Paris Est Créteil, Department of Psychiatry and Addictology, Mondor University Hospital, DMU IMPACT, Translational Neuro-Psychiatry laboratory, INSERM U955, Créteil, France ,grid.484137.dFondation FondaMental, Créteil, France
| | - Robert Yolken
- grid.21107.350000 0001 2171 9311Stanley Neurovirology Laboratory, Johns Hopkins School of Medicine, Baltimore, US
| | - Michael Berk
- grid.1021.20000 0001 0526 7079IMPACT – the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, Geelong, Australia ,grid.1008.90000 0001 2179 088XFlorey Institute for Neuroscience and Mental Health, Department of Psychiatry and Orygen, The National Centre of Excellence in Youth Mental Health, University of Melbourne, Parkville, Australia
| | - Svetha Venkatesh
- grid.1021.20000 0001 0526 7079Applied Artificial Intelligence Institute (A2I2), Deakin University, Geelong, Australia
| | - Marion Leboyer
- AP-HP, Université Paris Est Créteil, Department of Psychiatry and Addictology, Mondor University Hospital, DMU IMPACT, Translational Neuro-Psychiatry laboratory, INSERM U955, Créteil, France. .,Fondation FondaMental, Créteil, France.
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8
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Clinical outcome measures in multiple sclerosis: A review. Autoimmun Rev 2020; 19:102512. [DOI: 10.1016/j.autrev.2020.102512] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2019] [Accepted: 12/12/2019] [Indexed: 02/06/2023]
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9
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10
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Snow NJ, Wadden KP, Chaves AR, Ploughman M. Transcranial Magnetic Stimulation as a Potential Biomarker in Multiple Sclerosis: A Systematic Review with Recommendations for Future Research. Neural Plast 2019; 2019:6430596. [PMID: 31636661 PMCID: PMC6766108 DOI: 10.1155/2019/6430596] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Accepted: 08/31/2019] [Indexed: 12/23/2022] Open
Abstract
Multiple sclerosis (MS) is a demyelinating disorder of the central nervous system. Disease progression is variable and unpredictable, warranting the development of biomarkers of disease status. Transcranial magnetic stimulation (TMS) is a noninvasive method used to study the human motor system, which has shown potential in MS research. However, few reviews have summarized the use of TMS combined with clinical measures of MS and no work has comprehensively assessed study quality. This review explored the viability of TMS as a biomarker in studies of MS examining disease severity, cognitive impairment, motor impairment, or fatigue. Methodological quality and risk of bias were evaluated in studies meeting selection criteria. After screening 1603 records, 30 were included for review. All studies showed high risk of bias, attributed largely to issues surrounding sample size justification, experimenter blinding, and failure to account for key potential confounding variables. Central motor conduction time and motor-evoked potentials were the most commonly used TMS techniques and showed relationships with disease severity, motor impairment, and fatigue. Short-latency afferent inhibition was the only outcome related to cognitive impairment. Although there is insufficient evidence for TMS in clinical assessments of MS, this review serves as a template to inform future research.
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Affiliation(s)
- Nicholas J. Snow
- Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Katie P. Wadden
- Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Arthur R. Chaves
- Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Michelle Ploughman
- Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
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11
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Altinier S, Puthenparampil M, Zaninotto M, Toffanin E, Ruggero S, Gallo P, Plebani M. Free light chains in cerebrospinal fluid of multiple sclerosis patients negative for IgG oligoclonal bands. Clin Chim Acta 2019; 496:117-120. [DOI: 10.1016/j.cca.2019.06.016] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Revised: 06/17/2019] [Accepted: 06/17/2019] [Indexed: 11/16/2022]
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12
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Csako G. Isoelectric Focusing in Agarose Gel for Detection of Oligoclonal Bands in Cerebrospinal and Other Biological Fluids. Methods Mol Biol 2019; 1855:387-401. [PMID: 30426434 DOI: 10.1007/978-1-4939-8793-1_33] [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] [Indexed: 06/09/2023]
Abstract
Isoelectric focusing (IEF) coupled with immunodetection (immunofixation or immunoblotting) has become the leading technique for the detection and study of oligoclonal bands (OCBs) in cerebrospinal fluid (CSF) and also is increasingly used in other body fluids such as the tear and serum. Limited commercial availability of precast agarose IEF gels for research and a need for customization prompted reporting a detailed general protocol for the preparation and casting of agarose IEF gel along with sample, control, and isoelectric point marker preparation and carrying out the focusing itself for CSF OCBs. However, the method is readily adaptable to the use of other body fluid specimens and, possibly, research specimens such as culture fluids as well.
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Affiliation(s)
- Gyorgy Csako
- Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, MD, USA.
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13
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Köpke S, Solari A, Rahn A, Khan F, Heesen C, Giordano A. Information provision for people with multiple sclerosis. Cochrane Database Syst Rev 2018; 10:CD008757. [PMID: 30317542 PMCID: PMC6517040 DOI: 10.1002/14651858.cd008757.pub3] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
BACKGROUND People with multiple sclerosis (MS) are confronted with a number of important uncertainties concerning many aspects of the disease. These include diagnosis, prognosis, disease course, disease-modifying therapies, symptomatic therapies, and non-pharmacological interventions, among others. While people with MS demand adequate information to be able to actively participate in medical decision making and to self manage their disease, it has been shown that patients' disease-related knowledge is poor, therefore guidelines recommend clear and concise high-quality information at all stages of the disease. Several studies have outlined communication and information deficits in the care of people with MS. However, only a few information and decision support programmes have been published. OBJECTIVES The primary objectives of this updated review was to evaluate the effectiveness of information provision interventions for people with MS that aim to promote informed choice and improve patient-relevant outcomes, Further objectives were to evaluate the components and the developmental processes of the complex interventions used, to highlight the quantity and the certainty of the research evidence available, and to set an agenda for future research. SEARCH METHODS For this update, we searched the Cochrane Multiple Sclerosis and Rare Diseases of the Central Nervous System Group Specialised Register, which contains trials from CENTRAL (the Cochrane Library 2017, Issue 11), MEDLINE, Embase, CINAHL, LILACS, PEDro, and clinical trials registries (29 November 2017) as well as other sources. We also searched reference lists of identified articles and contacted trialists. SELECTION CRITERIA Randomised controlled trials (RCTs), cluster-randomised controlled trials, and quasi-randomised trials comparing information provision for people with MS or suspected MS (intervention groups) with usual care or other types of information provision (control groups) were eligible. DATA COLLECTION AND ANALYSIS Two review authors independently assessed the retrieved articles for relevance and methodological quality and extracted data. Critical appraisal of studies addressed the risk of selection bias, performance bias, attrition bias, and detection bias. We contacted authors of relevant studies for additional information. MAIN RESULTS We identified one new RCT (73 participants), which when added to the 10 previously included RCTs resulted in a total of 11 RCTs that met the inclusion criteria and were analysed (1387 participants overall; mean age, range: 31 to 51; percentage women, range: 63% to 100%; percentage relapsing-remitting MS course, range: 45% to 100%). The interventions addressed a variety of topics using different approaches for information provision in different settings. Topics included disease-modifying therapy, relapse management, self care strategies, fatigue management, family planning, and general health promotion. The active intervention components included decision aids, decision coaching, educational programmes, self care programmes, and personal interviews with physicians. All studies used one or more components, but the number and extent differed markedly between studies. The studies had a variable risk of bias. We did not perform meta-analyses due to marked clinical heterogeneity. All five studies assessing MS-related knowledge (505 participants; moderate-certainty evidence) detected significant differences between groups as a result of the interventions, indicating that information provision may successfully increase participants' knowledge. There were mixed results on decision making (five studies, 793 participants; low-certainty evidence) and quality of life (six studies, 671 participants; low-certainty evidence). No adverse events were detected in the seven studies reporting this outcome. AUTHORS' CONCLUSIONS Information provision for people with MS seems to increase disease-related knowledge, with less clear results on decision making and quality of life. The included studies in this review reported no negative side effects of providing disease-related information to people with MS. Interpretation of study results remains challenging due to the marked heterogeneity of interventions and outcome measures.
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Affiliation(s)
- Sascha Köpke
- University of LübeckNursing Research Group, Institute of Social Medicine and EpidemiologyRatzeburger Allee 160LübeckGermanyD‐23538
| | - Alessandra Solari
- Fondazione I.R.C.C.S. ‐ Neurological Institute Carlo BestaNeuroepidemiology UnitVia Celoria 11MilanItaly20133
| | - Anne Rahn
- University Medical CenterInstitute of Neuroimmunology and Multiple SclerosisMartinistr 52HamburgGermany20246
| | - Fary Khan
- Royal Melbourne Hospital, Royal Park CampusDepartment of Rehabilitation MedicinePoplar RoadParkvilleMelbourneVictoriaAustralia3052
| | - Christoph Heesen
- University Medical CenterInstitute of Neuroimmunology and Multiple SclerosisMartinistr 52HamburgGermany20246
| | - Andrea Giordano
- Fondazione I.R.C.C.S. ‐ Neurological Institute Carlo BestaNeuroepidemiology UnitVia Celoria 11MilanItaly20133
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14
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Rosenkranz SC, Kaulen B, Neuhaus A, Siemonsen S, Köpke S, Daumer M, Stellmann JP, Heesen C. Low clinical conversion rate in clinically isolated syndrome patients - diagnostic benefit of McDonald 2010 criteria? Eur J Neurol 2017; 25:247-e9. [PMID: 29024243 DOI: 10.1111/ene.13476] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2017] [Accepted: 10/05/2017] [Indexed: 11/26/2022]
Abstract
BACKGROUND AND PURPOSE New diagnostic criteria of multiple sclerosis (MS) increase the number of patients being diagnosed with MS whilst a substantial part might not convert to clinically definite MS (CDMS). The diagnostic accuracy of the McDonald 2005 and 2010 criteria for conversion to CDMS was evaluated in an unselected cohort of patients in whom an MS diagnostic work-up was decided. METHODS Clinical, magnetic resonance imaging and cerebrospinal fluid data were analysed for all patients who presented with symptoms suspicious for MS at the university based MS outpatient clinic between 2006 and 2010 (n = 165). RESULTS Follow-up was available for 131 patients. During the mean follow-up period of 2 years, 19% of patients developed CDMS whereas 64% of the patients fulfilling McDonald 2010 criteria did not convert to CDMS. CONCLUSION The low clinical conversion rate indicates that the new diagnostic criteria may increase the incidence of MS cases with a less active disease course.
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Affiliation(s)
- S C Rosenkranz
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - B Kaulen
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - A Neuhaus
- Sylvia Lawry Centre for Multiple Sclerosis Research, München, Germany
| | - S Siemonsen
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - S Köpke
- Institute for Social Medicine and Epidemiology, University of Lübeck, Lübeck, Germany
| | - M Daumer
- Sylvia Lawry Centre for Multiple Sclerosis Research, München, Germany
| | - J-P Stellmann
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - C Heesen
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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15
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Yamout B, Khoury S, Ayyoubi N, Doumiati H, Fakhreddine M, Ahmed S, Tamim H, Al-Hashel J, Behbehani R, Alroughani R. Alternative diagnoses in patients referred to specialized centers for suspected MS. Mult Scler Relat Disord 2017; 18:85-89. [DOI: 10.1016/j.msard.2017.09.016] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Revised: 09/06/2017] [Accepted: 09/18/2017] [Indexed: 10/18/2022]
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16
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D'Hooghe T, Kyriakidi K, Karassa FB, Politis D, Skamnelos A, Christodoulou DK, Katsanos KH. Biomarker Development in Chronic Inflammatory Diseases. BIOMARKERS FOR ENDOMETRIOSIS 2017. [PMCID: PMC7122305 DOI: 10.1007/978-3-319-59856-7_3] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Chronic inflammatory diseases, such as inflammatory bowel disease—namely, Crohn’s disease and ulcerative colitis—psoriasis, multiple sclerosis, rheumatoid arthritis, and many others affect millions of people worldwide, causing a high burden of disease, socioeconomic impact, and healthcare cost. These diseases have common features including autoimmune pathogenesis and frequent co morbidity. The treatment of these chronic inflammatory diseases usually requires long-term immunosuppressive therapies with undesirable side effects. The future of chronic inflammatory disease prevention, detection, and treatment will be greatly influenced by the use of more effective biomarkers with enhanced performance. Given the practical issues of collecting tissue samples in inflammatory diseases, biomarkers derived from body fluids have great potential for optimized patient management through the circumvention of the abovementioned limitations. In this chapter, peripheral blood, urine, and cerebrospinal fluid biomarkers used in chronic inflammatory conditions are reviewed. In detail, this chapter reviews biomarkers to fore used or emerging to be used in patients with chronic inflammatory conditions. Those include inflammatory bowel diseases, chronic inflammatory conditions of the liver, biliary tract, pancreas, psoriasis, atopic disease, inflammatory skin diseases, rheumatic diseases, demyelination, and also the chronic inflammatory component of various other diseases in general medicine—including diabetes, cardiovascular disease, renal disease, and chronic obstructive pulmonary disease. Development of personalized medicine is closely linked to biomarkers, which may serve as the basis for diagnosis, drug discovery, and monitoring of diseases.
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Affiliation(s)
- Thomas D'Hooghe
- 0000 0001 0668 7884grid.5596.fDepartment of Development and Regeneration Organ Systems, Group Biomedical Sciences, KU Leuven (University of Leuven), Leuven, Belgium
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17
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Follow-Up of Emergency Department MRI Scans Suggesting New Diagnosis of CNS Demyelination. AJR Am J Roentgenol 2017; 209:171-175. [PMID: 28463541 DOI: 10.2214/ajr.16.17279] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE The literature has shown that new cases of multiple sclerosis (MS) can be missed in the emergency department (ED), causing unnecessary delays for patients. In 2012, an MRI scanner was introduced into the ED of our institution. This study examines the potential value of the radiologists' MRI reports for patients with previously undiagnosed MS who presented to the ED. MATERIALS AND METHODS In this retrospective study, electronic medical records were reviewed for patients without a prior diagnosis of a demyelinating disorder, who underwent imaging on the ED's MRI scanner between March 1, 2014, and March 1, 2016, and for whom the radiologist reported a possible demyelinating disorder. RESULTS Patient encounters of 61 women and 31 men (mean age, 41.2 years) met the inclusion criteria. In 48 of 92 (52.2%) cases where the radiology report suggested a demyelinating diagnosis, the patient was also given such a diagnosis as the final outcome. Where a demyelinating disorder was placed as the only, first, second, or third (or later) differential diagnosis, the final diagnosis was concordant with demyelination in 84.3% (43/51), 37.5% (3/8), 18.2% (2/11), and 0% (0/22) of cases, respectively (p < 0.01). CONCLUSION Radiologist-suggested demyelinating disease as the top differential diagnosis after MRI showed a high concordance rate with demyelinating disease being the final diagnosis. Scans in the ED for neurologic deficits can lead to early guidance for a diagnosis of demyelination to be made. Downstream effects may include reduced admission rates, avoidance of unnecessary use of other procedures, and early commencement of disease-modifying therapy.
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18
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Kasper J, van de Roemer A, Pöttgen J, Rahn A, Backhus I, Bay Y, Köpke S, Heesen C. A new graphical format to communicate treatment effects to patients-A web-based randomized controlled trial. Health Expect 2016; 20:797-804. [PMID: 27981688 PMCID: PMC5513016 DOI: 10.1111/hex.12522] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/29/2016] [Indexed: 01/10/2023] Open
Abstract
Objective Patients making treatment decisions require understandable evidence‐based information. However, evidence on graphical presentation of benefits and side‐effects of medical treatments is not conclusive. The study evaluated a new space‐saving format, CLARIFIG (clarifying risk figures), aiming to facilitate accuracy of comprehension. Methods CLARIFIG displays groups of patients with and without treatment benefits as coloured sectors of a proportional bar graph representing in total 100 patients. Supplementary icons indicate the corresponding group's actual condition. The study used an application showing effects of immunotherapy intended to slow disease progression in multiple sclerosis (MS). In a four‐arm web‐based randomized controlled trial, CLARIFIG was compared to the reference standard, multifigure pictographs (MFP), regarding comprehension (primary outcome) and processing time. Both formats were presented as static and animated versions. People with MS were recruited through the website of the German MS society. Results Six hundred and eighty‐two patients were randomized and analysed for the primary end point. There were no differences in comprehension rates (MFPstatic=46%, CLARIFIGstatic=44%; P=.59; MFPanimated=23%, CLARIFIGanimated=30%; P=.134). Processing time for CLARIFIG was shorter only in the animated version (MFPstatic=162 seconds, CLARIFIGstatic=155 seconds; P=.653; MFPanimated=286 seconds, CLARIFIGanimated=189 seconds; P≤.001). However, both animated versions caused more wrong answers and longer processing time than static presentation (MFPstatic vs animated: P≤.001/.001, CLARIFIGstatic vs animated: P=.027/.017). Conclusion Comprehension of the new format is comparable to MFP. CLARIFIG has the potential to simplify presentation in more complex contexts such as comparison of several treatment options in patient decision aids, but further studies are needed.
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Affiliation(s)
- Jürgen Kasper
- Department of Health and Caring Sciences, Faculty of Health Sciences, The Arctic University of Norway, Tromsø, Norway.,Division of Internal Medicine, University Hospital of Northern Norway, Tromsø, Norway.,Unit of Health Sciences and Education, MIN Faculty, University of Hamburg, Hamburg, Germany
| | | | - Jana Pöttgen
- Department of Neurology, Institute for Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Anne Rahn
- Unit of Health Sciences and Education, MIN Faculty, University of Hamburg, Hamburg, Germany.,Department of Neurology, Institute for Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Imke Backhus
- Department of Neurology, Institute for Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Yasemin Bay
- Department of Neurology, Institute for Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Sascha Köpke
- Institute of Social Medicine and Epidemiology, University of Lübeck, Lübeck, Germany
| | - Christoph Heesen
- Department of Neurology, Institute for Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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19
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Gastaldi M, Zardini E, Franciotta D. An update on the use of cerebrospinal fluid analysis as a diagnostic tool in multiple sclerosis. Expert Rev Mol Diagn 2016; 17:31-46. [DOI: 10.1080/14737159.2017.1262260] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- Matteo Gastaldi
- Laboratory of Neuroimmunology, and Dept. of General Neurology, C. Mondino National Neurological Institute, University of Pavia, Pavia, Italy
| | - Elisabetta Zardini
- Laboratory of Neuroimmunology, and Dept. of General Neurology, C. Mondino National Neurological Institute, University of Pavia, Pavia, Italy
| | - Diego Franciotta
- Laboratory of Neuroimmunology, and Dept. of General Neurology, C. Mondino National Neurological Institute, University of Pavia, Pavia, Italy
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20
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Poutiainen P, Jaronen M, Quintana FJ, Brownell AL. Precision Medicine in Multiple Sclerosis: Future of PET Imaging of Inflammation and Reactive Astrocytes. Front Mol Neurosci 2016; 9:85. [PMID: 27695400 PMCID: PMC5023680 DOI: 10.3389/fnmol.2016.00085] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2016] [Accepted: 08/30/2016] [Indexed: 12/29/2022] Open
Abstract
Non-invasive molecular imaging techniques can enhance diagnosis to achieve successful treatment, as well as reveal underlying pathogenic mechanisms in disorders such as multiple sclerosis (MS). The cooperation of advanced multimodal imaging techniques and increased knowledge of the MS disease mechanism allows both monitoring of neuronal network and therapeutic outcome as well as the tools to discover novel therapeutic targets. Diverse imaging modalities provide reliable diagnostic and prognostic platforms to better achieve precision medicine. Traditionally, magnetic resonance imaging (MRI) has been considered the golden standard in MS research and diagnosis. However, positron emission tomography (PET) imaging can provide functional information of molecular biology in detail even prior to anatomic changes, allowing close follow up of disease progression and treatment response. The recent findings support three major neuroinflammation components in MS: astrogliosis, cytokine elevation, and significant changes in specific proteins, which offer a great variety of specific targets for imaging purposes. Regardless of the fact that imaging of astrocyte function is still a young field and in need for development of suitable imaging ligands, recent studies have shown that inflammation and astrocyte activation are related to progression of MS. MS is a complex disease, which requires understanding of disease mechanisms for successful treatment. PET is a precise non-invasive imaging method for biochemical functions and has potential to enhance early and accurate diagnosis for precision therapy of MS. In this review we focus on modulation of different receptor systems and inflammatory aspect of MS, especially on activation of glial cells, and summarize the recent findings of PET imaging in MS and present the most potent targets for new biomarkers with the main focus on experimental MS research.
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Affiliation(s)
- Pekka Poutiainen
- Athinoula A Martinos Biomedical Imaging Center, Department of Radiology, Massachusetts General Hospital, Harvard Medical SchoolCharlestown, MA, USA
| | - Merja Jaronen
- Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical SchoolBoston, MA, USA
| | - Francisco J. Quintana
- Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical SchoolBoston, MA, USA
| | - Anna-Liisa Brownell
- Athinoula A Martinos Biomedical Imaging Center, Department of Radiology, Massachusetts General Hospital, Harvard Medical SchoolCharlestown, MA, USA
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21
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Nemecek A, Zimmermann H, Rübenthaler J, Fleischer V, Paterka M, Luessi F, Müller-Forell W, Zipp F, Siffrin V. Flow cytometric analysis of T cell/monocyte ratio in clinically isolated syndrome identifies patients at risk of rapid disease progression. Mult Scler 2015; 22:483-93. [DOI: 10.1177/1352458515593821] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2015] [Accepted: 06/07/2015] [Indexed: 01/10/2023]
Abstract
Background: Multiple sclerosis is a chronic inflammatory central nervous system disease diagnosed by clinical presentation and characteristic magnetic resonance imaging findings. The role of cerebrospinal fluid (CSF) analysis has been emphasized in particular in the context of differential diagnosis in patients with a first episode suggestive of multiple sclerosis. Objective: We investigated here the potential additional value of analysis of CSF cellularity by fluorescence activated cell sorting (FACS) in the setting of a routine diagnostic work-up in our inpatient clinic. Methods: CSF cells from back-up samples from patients with suspected chronic inflammatory central nervous system disorder were analyzed by FACS and correlated with clinical data, magnetic resonance imaging findings and oligoclonal band status. Results: We found distinct changes of T cell/monocyte (CD4/CD14) and B cell/monocyte (CD20/CD14) ratios between clinically isolated syndrome (CIS)/multiple sclerosis and other neurologic diseases or other inflammatory neurologic diseases. In particular, patients with a rapid transition from CIS to multiple sclerosis had an elevated CD4/CD14 ratio. A subgroup analysis showed diagnostic value of CD4/CD8 ratio in the differential diagnosis of CIS/multiple sclerosis to neurosarcoidosis. Conclusion: The diagnostic and prognostic accuracy of autoimmune neuroinflammatory diseases can be improved by FACS analysis of CSF cells.
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Affiliation(s)
- Andrea Nemecek
- Neurology Department, Johannes Gutenberg University Mainz, Germany
| | - Hilga Zimmermann
- Neurology Department, Johannes Gutenberg University Mainz, Germany
| | | | | | | | - Felix Luessi
- Neurology Department, Johannes Gutenberg University Mainz, Germany
| | | | - Frauke Zipp
- Neurology Department, Johannes Gutenberg University Mainz, Germany
| | - Volker Siffrin
- Neurology Department, Johannes Gutenberg University Mainz, Germany/Charité – Universitätsmedizin Berlin, Germany
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22
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Abstract
Optic neuritis, myelitis and brainstem syndrome accompanied by a symptomatic MRI T2 or FLAIR hyperintensity and T1 hypointensity are highly suggestive of multiple sclerosis (MS) in young adults. They are called "clinically isolated syndrome" (CIS) and correspond to the typical first multiple sclerosis (MS) episode, especially when associated with other asymptomatic demyelinating lesions, without clinical, radiological and immunological sign of differential diagnosis. After a CIS, the delay of apparition of a relapse, which corresponds to the conversion to clinically definite MS (CDMS), varies from several months to more than 10 years (10-15% of cases, generally called benign RRMS). This delay is generally associated with the number and location of demyelinating lesions of the brain and spinal cord and the results of CSF analysis. Several studies comparing different MRI criteria for dissemination in space and dissemination in time of demyelinating lesions, two hallmarks of MS, provided enough substantial data to update diagnostic criteria for MS after a CIS. In the last revision of the McDonald's criteria in 2010, diagnostic criteria were simplified and now the diagnosis can be made by a single initial scan that proves the presence of active asymptomatic lesions (with gadolinium enhancement) and of unenhanced lesions. However, time to conversion remains highly unpredictable for a given patient and CIS can remain isolated, especially for idiopathic unilateral optic neuritis or myelitis. Univariate analyses of clinical, radiological, biological or electrophysiological characteristics of CIS patients in small series identified numerous risk factors of rapid conversion to MS. However, large series of CIS patients analyzing several characteristics of CIS patients and the influence of disease modifying therapies brought important information about the risk of CDMS or RRMS over up to 20 years of follow-up. They confirmed the importance of the initial MRI pattern of demyelinating lesions and of CSF oligoclonal bands. Available treatments of MS (immunomodulators or immunosuppressants) have also shown unequivocal efficacy to slow the conversion to RRMS after a CIS, but they could be unnecessary for patients with benign RRMS. Beyond diagnostic criteria, knowledge of established and potential risk factors of conversion to MS and of disability progression is essential for CIS patients' follow-up and initiation of disease modifying therapies.
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Affiliation(s)
- Éric Thouvenot
- Hôpital Carémeau, service de neurologie, 30029 Nîmes cedex 9, France; Université de Montpellier, institut de génomique fonctionnelle, équipe « neuroprotéomique et signalisation des maladies neurologiques et psychiatriques », UMR 5203, 34094 Montpellier cedex, France.
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23
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Brand J, Köpke S, Kasper J, Rahn A, Backhus I, Poettgen J, Stellmann JP, Siemonsen S, Heesen C. Magnetic resonance imaging in multiple sclerosis--patients' experiences, information interests and responses to an education programme. PLoS One 2014; 9:e113252. [PMID: 25415501 PMCID: PMC4240649 DOI: 10.1371/journal.pone.0113252] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2014] [Accepted: 10/24/2014] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Magnetic resonance imaging (MRI) is a key diagnostic and monitoring tool in multiple sclerosis (MS) management. However, many scientific uncertainties, especially concerning correlates to impairment and prognosis remain. Little is known about MS patients' experiences, knowledge, attitudes, and unmet information needs concerning MRI. METHODS We performed qualitative interviews (n = 5) and a survey (n = 104) with MS patients regarding MRI patient information, and basic MRI knowledge. Based on these findings an interactive training program of 2 hours was developed and piloted in n = 26 patients. RESULTS Interview analyses showed that patients often feel lost in the MRI scanner and left alone with MRI results and images while 90% of patients in the survey expressed a high interest in MRI education. Knowledge on MRI issues was fair with some important knowledge gaps. Major information interests were relevance of lesions as well as the prognostic and diagnostic value of MRI results. The education program was highly appreciated and resulted in a substantial knowledge increase. Patients reported that, based on the program, they felt more competent to engage in encounters with their physicians. CONCLUSION This work strongly supports the further development of an evidence-based MRI education program for MS patients to enhance participation in health-care.
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Affiliation(s)
- Judith Brand
- Institute of Neuroimmunology and Clinical MS Research (INIMS) and Dep. of Neurology, UMC Hamburg Eppendorf, Hamburg, Germany
| | - Sascha Köpke
- Institute for Social Medicine and Epidemiology, University of Lübeck, Lübeck, Germany
| | - Jürgen Kasper
- Institute of Neuroimmunology and Clinical MS Research (INIMS) and Dep. of Neurology, UMC Hamburg Eppendorf, Hamburg, Germany; Department of Primary Medical Care, UMC Hamburg Eppendorf, Hamburg, Germany
| | - Anne Rahn
- Institute of Neuroimmunology and Clinical MS Research (INIMS) and Dep. of Neurology, UMC Hamburg Eppendorf, Hamburg, Germany; Unit of Health Sciences and Education, MIN Faculty, University of Hamburg, Hamburg, Germany
| | - Imke Backhus
- Institute of Neuroimmunology and Clinical MS Research (INIMS) and Dep. of Neurology, UMC Hamburg Eppendorf, Hamburg, Germany; Unit of Health Sciences and Education, MIN Faculty, University of Hamburg, Hamburg, Germany
| | - Jana Poettgen
- Institute of Neuroimmunology and Clinical MS Research (INIMS) and Dep. of Neurology, UMC Hamburg Eppendorf, Hamburg, Germany
| | - Jan-Patrick Stellmann
- Institute of Neuroimmunology and Clinical MS Research (INIMS) and Dep. of Neurology, UMC Hamburg Eppendorf, Hamburg, Germany
| | - Susanne Siemonsen
- MS Imaging Section, Department of Diagnostic and Interventional Neuroradiology, UMC Hamburg Eppendorf, Hamburg, Germany
| | - Christoph Heesen
- Institute of Neuroimmunology and Clinical MS Research (INIMS) and Dep. of Neurology, UMC Hamburg Eppendorf, Hamburg, Germany
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Köpke S, Solari A, Khan F, Heesen C, Giordano A. Information provision for people with multiple sclerosis. Cochrane Database Syst Rev 2014:CD008757. [PMID: 24752330 DOI: 10.1002/14651858.cd008757.pub2] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
BACKGROUND People with multiple sclerosis (MS) are confronted with a number of important uncertainties concerning many aspects of the disease. Among others, these include diagnosis, prognosis, disease course, disease-modifying therapies, symptomatic therapies and non-pharmacological interventions. It has been shown that people with MS demand adequate information to be able to actively participate in medical decision making and to self-manage their disease. On the other hand, it has been found that patients' disease-related knowledge is poor. Therefore, guidelines have recommended clear and concise high-quality information at all stages of the disease. Several studies have outlined communication and information deficits in the care of people with MS and, accordingly, a number of information and decision support programmes have been published. OBJECTIVES To evaluate the effectiveness of information provision interventions for people with MS that aim to promote informed choice and improve patient-relevant outcomes. SEARCH METHODS We searched the Cochrane Multiple Sclerosis and Rare Diseases of the Central Nervous System Group Specialised Register which contains trials from CENTRAL (The Cochrane Library 2013, Issue 6), MEDLINE, EMBASE, CINAHL, LILACS, PEDro and clinical trials registries (12 June 2013) as well as other sources. In addition, we searched PsycINFO, trial registries, and reference lists of identified articles. We also contacted trialists. SELECTION CRITERIA Randomised controlled trials, cluster randomised controlled trials and quasi-randomised trials comparing information provision for people with MS or suspected MS (intervention groups) with usual care or other types of information provision (control groups) were eligible. DATA COLLECTION AND ANALYSIS Two review authors independently assessed the retrieved articles for relevance and methodological quality, and extracted data. Critical appraisal of studies addressed the risk of selection bias, performance bias, attrition bias and detection bias. We contacted authors of relevant studies for additional information. MAIN RESULTS Ten randomised controlled trials involving a total of 1314 participants met the inclusion criteria and were analysed. The interventions addressed a variety of topics using different approaches for information provision in different settings. Topics included disease-modifying therapy, relapse management, self-care strategies, fatigue management, family planning and general health promotion. The interventions contained decision aids, educational programmes, self-care interventions and personal interviews with physicians. All interventions were complex interventions using more than one active component, but the number and extent of the intervention components differed markedly between studies. The studies had a variable risk of bias. We did not perform meta-analyses due to marked clinical heterogeneity. All four studies assessing MS-related knowledge (524 participants; moderate-quality evidence) detected significant differences between groups as a result of the interventions indicating that information provision may successfully increase participants' knowledge. There were mixed results from four studies reporting effects on decision making (836 participants; low-quality evidence) and from five studies assessing quality of life (605 participants; low-quality evidence). There were no adverse events in the six studies reporting on adverse events. AUTHORS' CONCLUSIONS Information provision for people with MS seems to increase disease-related knowledge, with less clear results on decision making and quality of life. There seem to be no negative side effects from informing patients about their disease. Interpretation of study results remains challenging due to the marked heterogeneity of the interventions and outcome measures.
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Affiliation(s)
- Sascha Köpke
- Nursing Research Unit, Institute of Social Medicine, University of Lübeck, Ratzeburger Allee 160, Lübeck, Germany, D-23538
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Kappa free light chains: diagnostic and prognostic relevance in MS and CIS. PLoS One 2014; 9:e89945. [PMID: 24651567 PMCID: PMC3940961 DOI: 10.1371/journal.pone.0089945] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2013] [Accepted: 01/23/2014] [Indexed: 11/19/2022] Open
Abstract
Background Quantification of kappa free light chains (KFLC) in cerebrospinal fluid shows high diagnostic sensitivity in multiple sclerosis and clinically isolated syndrome patients. However, a clearly defined threshold value is still missing and a possible prognostic value of the KFLC levels in these patients remains undefined. Methods Results of KFLC quantification in 420 controls were used to set an upper limit of normal KFLC concentration in CSF under different blood-CSF-barrier conditions. Additionally, KFLC values of MS and CIS patients were assessed and results were evaluated with reference to the patients corresponding disease courses. Results The calculated upper limit of normal KFLC-concentration covers 98% of these control patients. Using this cut-off, plasma cell activity in CSF can be detected in 97% of MS patients and in 97% of CIS patients. However, there is no evidence that the extent of KFLC elevation provides prognostic value in MS and CIS patients in this study. Conclusion KFLC determination should become a first line screen in the diagnostic algorithms of MS and CIS. The extent of elevation of intrathecal KFLC has no prognostic value on the disease course in MS and CIS patients.
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Dobson R, Topping J, Davis A, Thompson E, Giovannoni G. Cerebrospinal fluid and urinary biomarkers in multiple sclerosis. Acta Neurol Scand 2013; 128:321-7. [PMID: 23465040 DOI: 10.1111/ane.12119] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/05/2013] [Indexed: 01/11/2023]
Abstract
OBJECTIVES Biomarkers with the potential for longitudinal measurements are needed in multiple sclerosis (MS). Urine is easy to collect, and repeated sampling is possible. METHODS 39 paired CSF and urine samples were taken. Oligoclonal bands (OCBs) were measured in CSF. Kappa and lambda free light chain (FLC), neopterin and ubiquitin C-terminal hydrolase-L1 (UCHL1) were measured in CSF and urine. RESULTS 16/39 samples had OCBs unique to the CSF. CSF FLC levels (P < 0.0001) were higher in OCB-positive subjects, with no difference in urinary FLC. CSF and urinary FLC did not correlate. There were a significant correlation between total CSF FLC and CSF neopterin in MS samples (correlation coefficient = 0.588, P = 0.016) and a strong correlation between CSF lambda FLC and CSF neopterin in MS samples (correlation coefficient = 0.875, P < 0.001). There was a strong correlation between urinary neopterin/creatinine levels and urinary total FLC/protein levels (correlation coefficient = 0.452, P = 0.004). Only three CSF samples (8%) had detectable levels of UCHL1. 18/38 (48%) (8/15 MS and 10/23 control) urine samples had detectable levels of UCLH1. CONCLUSIONS This study confirms the relationship between CSF OCBs and CSF FLCs, highlighting the importance of intrathecal B- and plasma-cell activation in MS. There is a relationship between CSF FLC and CSF neopterin in MS, highlighting the multifaceted immune activation seen in MS. Correlations in the OCB-positive group highlight the multifaceted immune activation seen in MS. Further studies are required to evaluate CSF and urinary biomarkers.
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Affiliation(s)
- R. Dobson
- Blizard Institute and the London School of Medicine and Dentistry; London; UK
| | - J. Topping
- Blizard Institute and the London School of Medicine and Dentistry; London; UK
| | - A. Davis
- Blizard Institute and the London School of Medicine and Dentistry; London; UK
| | - E. Thompson
- Institute of Neurology; University College London; Queen Square; London; UK
| | - G. Giovannoni
- Blizard Institute and the London School of Medicine and Dentistry; London; UK
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Myhr KM, Grytten N, Torkildsen Ø, Wergeland S, Bø L, Pugliatti M, Aarseth JH. A need for national registries and international collaborative research in multiple sclerosis. Acta Neurol Scand 2012:1-3. [PMID: 23278648 DOI: 10.1111/ane.12039] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/02/2012] [Indexed: 11/28/2022]
Abstract
OBJECTIVE There is a growing need to identify biomarkers for early diagnosis and treatment in multiple sclerosis (MS). Such markers may also be involved in the cause and pathogenesis of the disease. METHODS Established national MS registries have through several decades allowed data collection to facilitate MS research. The European MS Registry (EUReMS) is a recent international collaborative effort to ultimately promote MS research and quality in health care across European countries. International collaborations based on such initiatives can facilitate studies on new biomarkers in MS. RESULTS Important studies on data from MS registries, as well as national- and international collaboration networks have been conducted. CONCLUSION The symposium "National MS Registries--to improve health care and research in Multiple Sclerosis" held in Bergen, Norway, earlier this year aimed to highlight the need and benefit from national MS registries and promote international collaborative research in MS.
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Affiliation(s)
| | | | | | | | | | - M. Pugliatti
- Department of Clinical and Experimental Medicine; University of Sassari; Sassari; Italy
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28
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NMR and pattern recognition methods in metabolomics: From data acquisition to biomarker discovery: A review. Anal Chim Acta 2012; 750:82-97. [DOI: 10.1016/j.aca.2012.05.049] [Citation(s) in RCA: 303] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2012] [Revised: 05/25/2012] [Accepted: 05/26/2012] [Indexed: 01/09/2023]
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Abstract
Multiple sclerosis (MS) is a chronic autoimmune condition affecting the CNS. Despite recent refinements in diagnostic criteria and the availability of ancillary studies, such as cerebrospinal fluid analysis, MRI, electrophysiological studies and optical coherence tomography, MS remains a clinical diagnosis. Repeated studies have convincingly demonstrated that early treatment is critical in decreasing the rate of disease progression and, therefore, establishing the diagnosis in a timely fashion and initiating treatment is imperative. However, the latter is not always easy and recognizing disorders that may mimic MS is essential in avoiding the administration of costly and, on occasion, potentially risky therapy. Furthermore, it is important to recognize MS mimics to initiate appropriate treatment for those conditions. Prominent MS mimickers, many with features of focal neurological disease separated in both time and space, are discussed in this article. Diagnostic pearls to avoid misdiagnosis have been included.
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Affiliation(s)
- Divya Singhal
- Department of Neurology, University of Kentucky College of Medicine, Kentucky Clinic Room L-445, 740 S Limestone St Lexington, KY 40536-0284, USA
| | - Joseph R Berger
- Department of Neurology, University of Kentucky College of Medicine, Kentucky Clinic Room L-445, 740 S Limestone St Lexington, KY 40536-0284, USA
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30
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Csako G. Isoelectric focusing in agarose gel for detection of oligoclonal bands in cerebrospinal and other biological fluids. Methods Mol Biol 2012; 869:247-258. [PMID: 22585491 DOI: 10.1007/978-1-61779-821-4_20] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Isoelectric focusing (IEF) coupled with immunodetection (immunofixation or immunoblotting) has become the leading technique for the detection and study of oligoclonal bands (OCBs) in cerebrospinal fluid (CSF) and also is increasingly used in other body fluids such as the tear and serum. Limited commercial availability of precast agarose IEF gels for research and a need for customization prompted reporting a detailed general protocol for the preparation and casting of agarose IEF gel along with sample, control, and isoelectric point marker preparation and carrying out the focusing itself for CSF OCBs. However, the method is readily adaptable to the use of other body fluid specimens and, possibly, research specimens such as culture fluids as well.
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Affiliation(s)
- Gyorgy Csako
- Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, MD, USA.
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