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

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          Abstract

          Background

          IgG concentrations in cerebrospinal fluid generally range from 20 to 45 mg/L. In multiple sclerosis immune reactions lead to intrathecal synthesis of specific IgGs that can be detected in biological fluid samples both quantitatively and qualitatively by isoelectric focusing of supplementary oligoclonal IgG bands.

          Method

          A simple tool, using the MATLAB application, to facilitate and improve isoelectric focusing profile analysis is presented and evaluated in terms of its sensitivity, repeatability and reproducibility. A comparison between human readers and semi-automatic method has also been performed.

          Results

          Results from the semi-automatic method were found to be equivalent or superior to generally employed laboratory methods. Repeatability analysis for semi-automatic processing yielded coefficients of variation (CVs) in the 3–7% range, and using a sample with an estimated IgG concentration of 200 mg/L, four bands were still visible after dilution to 5 mg/L, corresponding to band concentrations of 1.1–1.6 mg/L. Discordances between visual inspection and automatic analysis only appear at threshold levels for interpretation (the gray zone).

          Conclusion

          The semi-automatic method has acceptable performance for routine implementation.

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          Most cited references15

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          Stochastic optimization in system design

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            Signal Partitioning Algorithm for Highly Efficient Gaussian Mixture Modeling in Mass Spectrometry

            Mixture - modeling of mass spectra is an approach with many potential applications including peak detection and quantification, smoothing, de-noising, feature extraction and spectral signal compression. However, existing algorithms do not allow for automated analyses of whole spectra. Therefore, despite highlighting potential advantages of mixture modeling of mass spectra of peptide/protein mixtures and some preliminary results presented in several papers, the mixture modeling approach was so far not developed to the stage enabling systematic comparisons with existing software packages for proteomic mass spectra analyses. In this paper we present an efficient algorithm for Gaussian mixture modeling of proteomic mass spectra of different types (e.g., MALDI-ToF profiling, MALDI-IMS). The main idea is automated partitioning of protein mass spectral signal into fragments. The obtained fragments are separately decomposed into Gaussian mixture models. The parameters of the mixture models of fragments are then aggregated to form the mixture model of the whole spectrum. We compare the elaborated algorithm to existing algorithms for peak detection and we demonstrate improvements of peak detection efficiency obtained by using Gaussian mixture modeling. We also show applications of the elaborated algorithm to real proteomic datasets of low and high resolution.
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              Tear analysis in clinically isolated syndrome as new multiple sclerosis criterion.

              In clinically isolated syndrome (CIS), the detection of oligoclonal bands (OCBs) in cerebrospinal fluid (CSF) is critical for space dissemination validation when magnetic resonance imaging (MRI) diagnostic criteria are not fulfilled. However, lumbar puncture for CSF collection is considered relatively invasive. Previous studies have demonstrated applicability of OCB detection in tears to the diagnosis of multiple sclerosis (MS). The objective of the present study was to assess concordance between OCB detection in tears and in CSF. We have prospectively included patients with CIS and compared results of CSF and tear OCB detection by isoelectric focusing (IEF). Tears were collected using a Schirmer strip. We included 82 patients. For 69 of them, samples were analysable. OCBs were detected in CSF for 63.8% and in tears for 42% of patients. All patients with tear OCBs had CSF OCBs. We suggest that tear OCB detection may replace CSF OCB detection as a diagnostic tool in patients with CIS. This would circumvent the practice of invasive lumbar punctures currently used in MS diagnosis.
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                Author and article information

                Contributors
                Journal
                Pract Lab Med
                Pract Lab Med
                Practical Laboratory Medicine
                Elsevier
                2352-5517
                10 November 2017
                March 2018
                10 November 2017
                : 10
                : 1-9
                Affiliations
                [a ]Faculté de Médecine et de Maieutique, Lille, France
                [b ]Groupement Hospitalier Institut Catholique de Lille, France
                [c ]HEI Yncréa Hauts de France, UTSB, Lille, France
                Author notes
                [* ]Corresponding author at: Faculté de Médecine et de Maieutique, Lille, France.Faculté de Médecine et de MaieutiqueLilleFrance forzy.gerard@ 123456ghicl.net
                Article
                S2352-5517(17)30055-0
                10.1016/j.plabm.2017.11.001
                5709311
                77ee4e70-5c9b-4f6e-ad20-ff1ecaa0a62b
                © 2017 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 12 July 2017
                : 18 October 2017
                : 8 November 2017
                Categories
                Article

                electrophoretogram,oligoclonal bands,isoelectric focusing,repeatability,sensitivity

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