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A predictive model of the distribution of T-cell phenotype variations

文献类型： 会议论文

第一作者： Laura D’Orsi

作者： Laura D’Orsi 1 ; Elena Lo Presti 2 ; Giuseppe Giacopelli 2 ; Andrea De Gaetano 3 ;

作者机构： 1.IASI Istituto di Analisi dei Sistemi e Informatica "A. Ruberti", CNR Consiglio Nazionale Delle Ricerche, Rome, Italy

2.IRIB Istituto per la Ricerca e l’Innovazione Biomedica, CNR Consiglio Nazionale Delle Ricerche, Palermo, Italy

3.CNR-IRIB and CNR-IASI - Consiglio Nazionale Delle Ricerche, Palermo & Rome, Italy|Dept. of Biomatics, Óbuda University, Budapest, Hungary|Dept. of Mathematics, Mahidol University, Bangkok, Thailand

关键词： Antigens;Phenotypes;Current measurement;Sociology;Estimation;Predictive models;Mathematical models

会议名称： [ "International Conference on Intelligent Engineering Systems" , "IEEE International Conference on Intelligent Engineering Systems"]

主办单位：

页码： 15-20

摘要： Understanding the initiation and evolution of the immune response is of fundamental importance for a rational approach to infectious and autoimmune diseases. Flow cytometry now allows the sequential study of sub-populations of T-lymphocytes, where samples of cells undergo phenotype modifications induced by initial contact with the antigen. Such phenotype changes, reflecting the transition from Naive to Effector to Memory cells, consist among others in a continuing reduction in expression of the CD27 surface antigen, accompanied by an initial reduction followed by an increment of the expression of CD45RA, also a surface antigen. The present work is the first attempt to formalize the evolution of this population of immune cells by means of a mathematical model describing the movement of clusters of T-cells over the plane defined by the (log) concentrations of CD27 and CD45RA, as measured on each cell by modern flow cytometry. Eventual estimation of the parameters of such a movement model in a given subject will help caregivers to better classify the current state and the likely progression of disease.

分类号： tp313

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