Literature DB >> 25613196

Tear analysis as a tool to detect oligoclonal bands in radiologically isolated syndrome.

C Lebrun1, G Forzy2, N Collongues3, M Cohen4, J de Seze3, P Hautecoeur2.   

Abstract

BACKGROUND: Although radiologically isolated syndrome (RIS) is a newly defined entity, incidental findings of T2 hypersignals on brain MRI can lead to misdiagnosis or useless investigations. The detection of oligoclonal bands (OCBs) in cerebrospinal fluid (CSF) is a major indicator that helps in diagnosis of subclinical inflammatory disease of the central nervous system, but lumbar puncture still remains an invasive option.
METHODS: We have prospectively included patients with RIS, have compared the results of CSF and tear OCB detection by isoelectric focusing (IEF) and assessed concordance between OCB detection in tears and in CSF. Tears were collected using a Schirmer strip.
RESULTS: In 45 recruited RIS patients, OCBs were detected in CSF for 55% (25/45) and in tears for 50% (21/42) of samples.
CONCLUSIONS: We suggest that tear OCB detection may replace CSF OCB detection as a diagnostic tool in patients with RIS and be useful in follow-up.
Copyright © 2014 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Cerebrospinal fluid; Critères diagnostiques; Diagnostic criteria; Dissemination in space; Dissémination dans l’espace; Liquide céphalorachidien; Multiple sclerosis; Radiologically isolated syndrome; Sclérose en plaques; Syndrome radiologiquement isolé

Mesh:

Substances:

Year:  2015        PMID: 25613196     DOI: 10.1016/j.neurol.2014.11.007

Source DB:  PubMed          Journal:  Rev Neurol (Paris)        ISSN: 0035-3787            Impact factor:   2.607


  9 in total

1.  Toward an automatic tool for oligoclonal band detection in cerebrospinal fluid and tears for multiple sclerosis diagnosis: lane segmentation based on a ribbon univariate open active contour.

Authors:  Farah Haddad; Samuel Boudet; Laurent Peyrodie; Nicolas Vandenbroucke; Patrick Hautecoeur; Gérard Forzy
Journal:  Med Biol Eng Comput       Date:  2020-02-24       Impact factor: 2.602

Review 2.  Biological Markers in Early Multiple Sclerosis: the Paved Way for Radiologically Isolated Syndrome.

Authors:  Manon Rival; Manon Galoppin; Eric Thouvenot
Journal:  Front Immunol       Date:  2022-04-27       Impact factor: 8.786

3.  Diagnostic biomarkers in tear fluid: from sampling to preanalytical processing.

Authors:  Franziska Bachhuber; André Huss; Makbule Senel; Hayrettin Tumani
Journal:  Sci Rep       Date:  2021-05-12       Impact factor: 4.379

Review 4.  Tear fluid biomarkers in ocular and systemic disease: potential use for predictive, preventive and personalised medicine.

Authors:  Suzanne Hagan; Eilidh Martin; Amalia Enríquez-de-Salamanca
Journal:  EPMA J       Date:  2016-07-13       Impact factor: 6.543

5.  Profiling tear proteomes of patients with unilateral relapsed Behcet's disease-associated uveitis using data-independent acquisition proteomics.

Authors:  Anyi Liang; Weiwei Qin; Meifen Zhang; Fei Gao; Chan Zhao; Youhe Gao
Journal:  PeerJ       Date:  2020-06-19       Impact factor: 2.984

6.  Investigation of Oligoclonal IgG Bands in Tear Fluid of Multiple Sclerosis Patients.

Authors:  Martin W Hümmert; Ulrich Wurster; Lena Bönig; Philipp Schwenkenbecher; Kurt-Wolfram Sühs; Sascha Alvermann; Stefan Gingele; Thomas Skripuletz; Martin Stangel
Journal:  Front Immunol       Date:  2019-05-17       Impact factor: 7.561

7.  Oligoclonal Band Straightening Based on Optimized Hierarchical Warping for Multiple Sclerosis Diagnosis.

Authors:  Farah Haddad; Samuel Boudet; Laurent Peyrodie; Nicolas Vandenbroucke; Julien Poupart; Patrick Hautecoeur; Vincent Chieux; Gérard Forzy
Journal:  Sensors (Basel)       Date:  2022-01-18       Impact factor: 3.576

Review 8.  Tear Biomarkers in Alzheimer's and Parkinson's Diseases, and Multiple Sclerosis: Implications for Diagnosis (Systematic Review).

Authors:  Angelika Król-Grzymała; Edyta Sienkiewicz-Szłapka; Ewa Fiedorowicz; Dominika Rozmus; Anna Cieślińska; Andrzej Grzybowski
Journal:  Int J Mol Sci       Date:  2022-09-04       Impact factor: 6.208

9.  Evaluation of semi-automatic image analysis tools for cerebrospinal fluid electrophoresis of IgG oligoclonal bands.

Authors:  G Forzy; L Peyrodie; S Boudet; Z Wang; A Vinclair; V Chieux
Journal:  Pract Lab Med       Date:  2017-11-10
  9 in total

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