The Intrathecal Humoral Immune Response: Laboratory Analysis and Clinical Relevance

Sindic, Christian; Antwerpen, Marie-Paule Van; Goffette, Sophie

doi:10.1515/cclm.2001.052

Cited by 58 publications

(54 citation statements)

References 34 publications

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“…Immunoglobulins synthesized in the CNS need to be discriminated from blood-derived immunoglobulins by calculation of the intrathecal fraction and antibody index (quantitative approach) or by detection of oligoclonal antibodies (qualitative approach) (101,114). The origin and composition of the CSF immunoglobulins have been recently studied in experiments with large patients groups.…”

Section: Stage Determination: Cerebrospinal Fluid Examinationmentioning

confidence: 99%

Options for Field Diagnosis of Human African Trypanosomiasis

et al. 2005

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Human African trypanosomiasis (HAT) due to Trypanosoma brucei gambiense or T. b. rhodesiense remains highly prevalent in several rural areas of sub-Saharan Africa and is lethal if left untreated. Therefore, accurate tools are absolutely required for field diagnosis. For T. b. gambiense HAT, highly sensitive tests are available for serological screening but the sensitivity of parasitological confirmatory tests remains insufficient and needs to be improved. Screening for T. b. rhodesiense infection still relies on clinical features in the absence of serological tests available for field use. Ongoing research is opening perspectives for a new generation of field diagnostics. Also essential for both forms of HAT is accurate determination of the disease stage because of the high toxicity of melarsoprol, the drug most widely used during the neurological stage of the illness. Recent studies have confirmed the high accuracy of raised immunoglobulin M levels in the cerebrospinal fluid for the staging of T. b. gambiense HAT, and a promising simple assay (LATEX/IgM) is being tested in the field. Apart from the urgent need for better tools for the field diagnosis of this neglected disease, improved access to diagnosis and treatment for the population at risk remains the greatest challenge for the coming years

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Section: Stage Determination: Cerebrospinal Fluid Examinationmentioning

confidence: 99%

Options for Field Diagnosis of Human African Trypanosomiasis

et al. 2005

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“…Intrathecal synthesis of IgG as well as free light chains (fLC) are detectable in the majority of patients with multiple sclerosis (MS) and less frequently in other, mostly inflammatory, nervous system diseases 1,2 . Little information is available however that compares these tests and the existing results are somewhat conflicting.…”

Section: Introductionmentioning

confidence: 99%

“…Usually, ≥2 cerebrospinal fluid (CSF)-restricted oligoclonal bands (OCB) are required for o-IgG (ref. 1,2,13 ). However, some authors use different criteria for o-IgG positivity.…”

Section: Introductionmentioning

confidence: 99%

Oligoclonal free light chains in cerebrospinal fluid as markers of intrathecal inflammation. Comparison with oligoclonal IgG

Zeman¹,

Hradílek²,

Kušnierová³

et al. 2015

Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub

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Aims.To compare the sensitivity and specificity of CSF-restricted oligoclonal IgG and free light chains as markers of multiple sclerosis and other inflammatory neurological diseases. Methods. 196 paired CSF and serum samples were examined for oligoclonal IgG and oligoclonal free light chains. The sensitivity and specificity of the tests were calculated and optimal cut-offs for the number of CSF-restricted oligoclonal bands were then determined by analysis of receiver operating characteristic curves. Results. Optimal cut-off values were ≥5 IgG bands for multiple sclerosis, ≥4 IgG bands for inflammatory neurological disease, ≥6 free κ, and ≥2 free λ bands for both purposes. Using these cut-off values, sensitivities and specificities for multiple sclerosis were 83.8% and 91.3% for IgG, 83.8% and 81.0% for free κ , and 67.6% and 75.4% for free λ. For inflammatory neurological disease, sensitivities and specificities were 60.8% and 95.7% for IgG, 69.6% and 92.6% for free κ, and 64.8% and 86.2% for free λ. Conclusions. Although exact cut-off values may vary according to method, reporting borderline results as positive, may compromise the specificity of the test and should be avoided.. The detection of intrathecal free light chain synthesis may be of value especially when the oligoclonal IgG test is negative or borderline, even though its specificity is slightly lower.

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“…Many proteins with disrupted levels and modifications have been detected by proteomics approaches and related to neurodegeneration and psychiatric disorders [6]. However, cerebrospinal fluid analysis, coupled with other methods, remains the basis of the diagnosis of various neurological disorders, including multiple sclerosis and infectious diseases of the central nervous system (CNS) [3,7].…”

Section: Introductionmentioning

confidence: 99%

“…In addition, for the detection of oligoclonal IgG bands in serum and in unconcentrated spinal fluid, some techniques have been used, such as the isoelectric focusing combined with polyethylene-enhanced gel immunofixation and silver staining, CSF/serum quotient diagrams, different body indices, etc. [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Optimization of supervised self-organizing maps with genetic algorithms for classification electrophoretic profiles

Tomovska

Kuzmanovski

Стојаноски

2014

Maced. J. Chem. Chem. Eng.

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Standard electrophoresis methods were used to classify analyzed proteins in cerebrospinal fluid from patients with multiple sclerosis. Disc electrophoresis was carried out on polyacrylamide gels for the detection of oligoclonal IgG bands in cerebrospinal fluid, mainly from patients with multiple sclerosis and other central nervous system dysfunctions. ImageMaster 1D Elite and Gel-Pro specialized software packages were used for fast accurate image and gel analysis. The classification model was based on supervised self-organizing maps. In order to perform modeling in an automated manner, genetic algorithms were used. Using this approach and a data set composed of 69 samples, we developed models based on supervised self-organizing maps which were able to correctly classify 83% of the samples in the data set used for external validation.Keywords: disc electrophoresis; cerebrospinal fluid; protein analysis; supervised self-organizing maps ОПТИМИЗАЦИЈА НА САМООРГАНИЗИРАНИ МАПИ ТРЕНИРАНИ СО НАДГЛЕДУВАНО УЧЕЊЕ СО ГЕНЕТСКИ АЛГОРИТМИ ЗА КЛАСИФИКАЦИЈА НА ЕЛЕКТРОФОРЕТСКИ ПРОФИЛИСтандардна електрофоретска метода беше користена за анализа на протеините во церебро-спиналниот ликвор кај пациенти претежно со мултипла склероза, но и со други заболувања на централниот нервен систем, со намера да се изврши класификација на експерименталните резул-тати. За оваа намена беше користена диск-електрофорезата за детекција на олигоклонални IgG ленти во електрофореграмите добиени со гел-електрофореза. Анализата на електрофореграмите беше направена со специјализираниот софтвер ImageMaster 1D Elite и софтверскиот пакет GelPro. За класификација на добиените експериментални резултати беа користени самоорганизирани мапи тренирани со надгледувано учење. За да се автоматизира моделирањето, беше користен генет-скиот алгоритам. Користејќи го овој пристап и податоците од 69 примероци за анализа, добивме модели базирани на самоорганизирани мапи, со кои може коректно да се класифицираат 83 % од податоците користени за екстерна валидација.Клучни зборови: диск-електрофореза; церебрален флуид; анализа на протеини; самоорганизирани мапи тренирани со надгледувано учење

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The Intrathecal Humoral Immune Response: Laboratory Analysis and Clinical Relevance

Cited by 58 publications

References 34 publications

Options for Field Diagnosis of Human African Trypanosomiasis

Options for Field Diagnosis of Human African Trypanosomiasis

Oligoclonal free light chains in cerebrospinal fluid as markers of intrathecal inflammation. Comparison with oligoclonal IgG

Optimization of supervised self-organizing maps with genetic algorithms for classification electrophoretic profiles

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