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Differences in Human Germinal Center B Cell Selection Revealed by Analysis of IgVH Gene Hypermutation and Lineage Trees in Inflammatory Bowel Disease

12 febbraio 2006 aggiornato da: Sheba Medical Center

Studying the Role of B Cells in Inflammatory Bowel Disease (IBD), Using a Combination of Experimental and Bioinformatical Techniques.

Our overall objective in this study is to study the role of B cells in inflammatory bowel disease (IBD), using a combination of high-throughput experimental and novel bioinformatical techniques.

Idiopathic IBD includes Crohn's disease (CD) and Ulcerative Colitis (UC), which are chronic inflammatory disorders of the intestine. IBD is common in developed countries, with up to 1 in 200 of individuals affected by theses diseases. It is currently thought that the disease arises owing to a complex array of genetic, environmental and immunologic susceptibility factors. T cells are thought to cause the lesions, but the B cell population apparently has a significant role as well, through secreting antibodies against certain self-antigens. We believe that a major contribution to the understanding of the pathogenesis of IBD, and especially of the immune pathway leading to CD, can be achieved by analysis of the B cell clones participating in immune responses in the gut, in particular their immunoglobulin (Ig) variable region gene diversity, which has never before been studied in the context of IBD.

The adaptive immune system is one of the only two biological systems capable of continuously learning and memorizing its experiences. This is a highly complex, distributed system, in which pathogen recognition, decision-making and action are performed by an interacting network of diverse lymphocytes. Immune learning and memory are embedded in the dynamical states of the complete lymphocyte repertoire, and cannot be understood by studying the behavior of single cell types. This complexity, further increased by the non-linear behavior of each component, can only be elucidated by using theoretical tools to complement experimental and clinical studies. Needless to say, many aspects of the deregulation of lymphocyte clones are not evident in the phenotype of the single cell but rather in the population dynamics of a whole clone (or many clones) of cells, as in B cell lymphomas. Such aspects are best elucidated by studies of the population dynamics and genetics of the relevant B cell clone(s).

In this study, we propose to utilize a novel bioinformatical approach - the analysis of the shapes of Ig gene mutational lineage trees. This is the main innovative feature in our proposal, as it taps into parameters that have never before been measured or analyzed with respect to B lymphocytes in IBD. While the method is new, it has already been shown that graphical analysis of B cell lineage trees and mathematical quantification of tree properties provide novel insights into the mechanisms of normal and malignant B cell clonal evolution. A preliminary analysis of lineage trees from other autoimmune diseases (shown below) indicates that, given sufficient amounts of data, the method could elucidate changes in Ig gene diversification and selection in IBD patients.

Moreover, we aim to search for correlations between the parameters characterizing Ig gene diversification and parameters characterizing patients, disease history and severity, and histological markers, as this has the potential of yielding novel diagnostic and prognostic tools.

Panoramica dello studio

Stato

Sconosciuto

Descrizione dettagliata

  1. Extraction of Ig gene sequences from IBD patient gut samples. The proposed study aims to elucidate the role of B cells in IBD via investigating their Ig gene diversification. Hence the first step should be to extract Ig gene sequences from samples (cases of resection procedure) archived in the pathology laboratory of the Sheba Medical Center. Samples from both CD and UC cases will be used, DNA will be extracted and Ig gene sequences will be amplified via PCR, in order to generate sufficient data for the bioinformatical analysis. Samples from inflamed gut segments will be compared to samples from uninflamed segments (where available), in order to provide an internal control for the comparison of IBD-related and unrelated B cell clones.
  2. Investigation of the repertoire and the degree of clonality in B cells implicated in IBD, based on the sequences extracted under aim (1).

    We assume that B cells involved in a chronic disease state undergo Ig gene diversification for much longer times than B cells in normal short-term immune responses, and hence Ig gene sequences from IBD-related B cells will exhibit a high degree of clonality. There may also be biases in specific Ig variable region (V) gene segment usage, as has been observed in other chronic diseases. Hence, the sequences obtained under aim (1) will be aligned with human germline V segment sequences, in order to identify any possible biases in V segment usage, and to identify clonal relationships between sets of sequences from the same patient. Since even gut samples from healthy humans contain many clonally related Ig gene sequences (see below), we expect to find many such clonal sequences in most samples.

  3. Elucidation of the dynamics of the responding B cell clones, using lineage tree analysis of clonal Ig gene sequences found under aim (2).

    Sets of clonally-related Ig gene sequences discovered under aim (3) will be subjected to lineage tree analysis using the methods developed by the Mehr group. The results of this analysis will point at the differences between IBD-related and unrelated B cell clones in the dynamics of somatic hypermutation and antigen-driven selection.

  4. Search for correlations between the parameters resulting from lineage tree analysis (aim 3) and clinical and patient parameters.

A particularly interesting question is whether the parameters generated by lineage tree analysis of Ig gene sequences are correlated with clinical parameters describing the patients (e.g. age, gender), the course of the disease (e.g. age of onset, disease duration, symptom severity) and histological characteristics. We expect that analysis of these two types of data (bioinformatical and clinical) will reveal quite a few correlations, and that based on these correlations we may be able to enhance the set of diagnostic and prognostic tools currently available to clinicians specializing in IBD.

Tipo di studio

Osservativo

Contatti e Sedi

Questa sezione fornisce i recapiti di coloro che conducono lo studio e informazioni su dove viene condotto lo studio.

Luoghi di studio

      • Tel Hashomer, Israele, 52621
        • Department of Pathology
      • Tel Hashomer, Israele, 52621
        • Iris Barshack, Department of Pathology

Criteri di partecipazione

I ricercatori cercano persone che corrispondano a una certa descrizione, chiamata criteri di ammissibilità. Alcuni esempi di questi criteri sono le condizioni generali di salute di una persona o trattamenti precedenti.

Criteri di ammissibilità

Età idonea allo studio

1 secondo e precedenti (Bambino, Adulto, Adulto più anziano)

Accetta volontari sani

No

Sessi ammissibili allo studio

Tutto

Descrizione

Inclusion Criteria:

  • Inflammatory Bowel Disease
  • Underwent colonic biopsies

Exclusion Criteria:

  • Other diseases

Piano di studio

Questa sezione fornisce i dettagli del piano di studio, compreso il modo in cui lo studio è progettato e ciò che lo studio sta misurando.

Come è strutturato lo studio?

Dettagli di progettazione

Collaboratori e investigatori

Qui è dove troverai le persone e le organizzazioni coinvolte in questo studio.

Investigatori

  • Investigatore principale: Iris Barshack, MD, Sheba medical center

Studiare le date dei record

Queste date tengono traccia dell'avanzamento della registrazione dello studio e dell'invio dei risultati di sintesi a ClinicalTrials.gov. I record degli studi e i risultati riportati vengono esaminati dalla National Library of Medicine (NLM) per assicurarsi che soddisfino specifici standard di controllo della qualità prima di essere pubblicati sul sito Web pubblico.

Studia le date principali

Inizio studio

1 settembre 2005

Date di iscrizione allo studio

Primo inviato

12 febbraio 2006

Primo inviato che soddisfa i criteri di controllo qualità

12 febbraio 2006

Primo Inserito (Stima)

14 febbraio 2006

Aggiornamenti dei record di studio

Ultimo aggiornamento pubblicato (Stima)

14 febbraio 2006

Ultimo aggiornamento inviato che soddisfa i criteri QC

12 febbraio 2006

Ultimo verificato

1 gennaio 2006

Maggiori informazioni

Termini relativi a questo studio

Altri numeri di identificazione dello studio

  • SHEBA-04-3547-IB-CTIL

Queste informazioni sono state recuperate direttamente dal sito web clinicaltrials.gov senza alcuna modifica. In caso di richieste di modifica, rimozione o aggiornamento dei dettagli dello studio, contattare register@clinicaltrials.gov. Non appena verrà implementata una modifica su clinicaltrials.gov, questa verrà aggiornata automaticamente anche sul nostro sito web .

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