Linear discriminant models for unbalanced longitudinal data

Marshall, Guillermo; Barón, Anna E.

doi:10.1002/1097-0258(20000815)19:15<1969::aid-sim515>3.0.co;2-y

Cited by 38 publications

(66 citation statements)

References 17 publications

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“…As previously described (17,18), we used a Western blotting assay to develop a global approach against a large panel of self-Ags. The patterns of autoimmune recognition against brain homogenates were evaluated with regard to the IgG isotype and by using unfractionated sera.…”

Section: Discussionmentioning

confidence: 99%

“…Some antigenic bands, described in Table II, showed different IgG immune reactivities between MS patients and healthy subjects ( p Ͻ 0.2). These bands were selected to perform an LDA, as previously described (17). Although single antigenic bands with p Ͻ 0.2 only indicate tendencies, several of them, associated by the LDA, lead us to differentiate more accurately the different populations tested (18).…”

Section: Relationships Between the Igg Immune Profiles And The Clinicmentioning

confidence: 99%

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Distortion of the Self-Reactive IgG Antibody Repertoire in Multiple Sclerosis as a New Diagnostic Tool

Lefranc¹,

Almeras²,

Dubucquoi³

et al. 2004

The Journal of Immunology

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To date, none of the myelin-associated Ag targets definitively discriminates between the immune response observed in multiple sclerosis (MS) patients and healthy subjects. However, it has been shown recently that analysis of global immune Ab profiles such as natural autoantibody reactivities can help to distinguish between normal individuals and patients suffering from various immune diseases. The aim of our study was to compare the global IgG immune response against brain self-Ags in sera from 82 MS patients and 27 healthy subjects. The analysis of the immune profiles was performed by Western blotting, and data were subjected to linear discriminant analysis. Particular patterns of IgG reactivity were found in healthy subjects, Sjögren patients, and MS patients. Moreover, this approach separated the three clinical forms of MS with a high concordance rate with the clinical data (κ value, 77.8%). Our study suggests, for the first time, that serum IgG Ab repertoires are able to distinguish MS patients. In addition, our data suggest that patterns of IgG reactivity could model the pathological processes underlying the various forms of MS. Further characterization of such discriminant Ags could provide useful information regarding their potent role in pathogenesis or regulatory processes in MS.

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Section: Discussionmentioning

confidence: 99%

Section: Relationships Between the Igg Immune Profiles And The Clinicmentioning

confidence: 99%

Distortion of the Self-Reactive IgG Antibody Repertoire in Multiple Sclerosis as a New Diagnostic Tool

Lefranc¹,

Almeras²,

Dubucquoi³

et al. 2004

The Journal of Immunology

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“…This topic has been discussed elsewhere (e.g. Tomasko et al 1999;Marshall & Baron 2000). Although we know of no off-the-shelf software specifically designed to estimate coefficients for this model, macros are available for S-PLUS (Insightful Corp., Seattle, WA, U.S.A.) and SAS from Wernecke et al (2004).…”

Section: Extensionsmentioning

confidence: 99%

Composite scores for concurrent behaviours constructed using canonical discriminant analysis

2009

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“…This approach allowed us to select the most relevant antigens that supported qualitatively different immune recognition. In a second stage, we used linear discriminant analysis (LDA) to balance the discriminating antigens between the populations of individuals, as described in detail previously (21,28). Using a stepwise logistic regression model and supported by the LDA method, we were able to isolate a subgroup of brain antigens according to their strength of discrimination between the different populations involved in the study.…”

Section: Lefranc Et Almentioning

confidence: 99%

Characterization of discriminant human brain antigenic targets in neuropsychiatric systemic lupus erythematosus using an immunoproteomic approach

Lefranc¹,

Launay²,

Dubucquoi³

et al. 2007

Arthritis & Rheumatism

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Objective. To characterize discriminant human brain antigenic targets in patients with neuropsychiatric systemic lupus erythematosus (NPSLE), using a standardized immunoproteomic approach.Methods. Self-IgG reactivity against normal and injured human brain tissues was studied by Western blotting of sera from 169 subjects, 16 patients with NPSLE, 12 patients with SLE without neuropsychiatric manifestations (non-NPSLE), 32 patients with Sjö-gren's syndrome with or without central nervous involvement, 82 patients with multiple sclerosis, and 27 healthy subjects. A proteomic approach was then applied to characterize discriminant antigens identified after comparisons of all patterns.Results. The serum self-IgG reactivity patterns against human brain tissue differed significantly between patients with NPSLE and the control groups. Four normal brain antigenic bands were specifically or preferentially recognized by sera from NPSLE patients (p240, p90, p77, and p24). Protein band p240 was characterized as microtubule-associated protein 2B (MAP-2B), p77 as Hsp70-71, and p24 as triosephosphate isomerase. Protein band p90 was not characterized. In contrast, 1 other protein band (p56, characterized as septin 7) was never recognized by sera from NPSLE patients but was recognized by a majority of sera from non-NPSLE patients.Conclusion. Our findings show that the immunoproteomic approach is a reliable method for assessing serum self-IgG reactivities against human brain tissue in NPSLE. Our characterization of some of the identified discriminant antigens, such as MAP-2B, triosephosphate isomerase, and septin 7, suggests that the stability of neuronal microtubules might be involved in the pathophysiology of NPSLE.

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Linear discriminant models for unbalanced longitudinal data

Cited by 38 publications

References 17 publications

Distortion of the Self-Reactive IgG Antibody Repertoire in Multiple Sclerosis as a New Diagnostic Tool

Distortion of the Self-Reactive IgG Antibody Repertoire in Multiple Sclerosis as a New Diagnostic Tool

Composite scores for concurrent behaviours constructed using canonical discriminant analysis

Characterization of discriminant human brain antigenic targets in neuropsychiatric systemic lupus erythematosus using an immunoproteomic approach

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