A statistical mechanics approach to autopoietic immune networks

The aim of this work is to try to bridge over theoretical immunology and disordered statistical mechanics. Our long term hope is to contribute to the development of a quantitative theoretical immunology from which practical applications may stem. In order to make theoretical immunology appealing to the statistical physicist audience we are going to work out a research article which, from one side, may hopefully act as a benchmark for future improvements and developments, from the other side, it is written in a very pedagogical way both from a theoretical physics viewpoint as well as from the theoretical immunology one. Furthermore, we have chosen to test our model describing a wide range of features of the adaptive immune response in only a paper: this has been necessary in order to emphasize the benefit available when using disordered statistical mechanics as a tool for the investigation. However, as a consequence, each section is not at all exhaustive and would deserve deep investigation: for the sake of completeness, we restricted details in the analysis of each feature with the aim of introducing a self-consistent model.Comment: 22 pages, 14 figur

Association between maternal and infant class I and II HLA alleles and of their concordance with the risk of perinatal HIV type 1 transmission.

We aimed to investigate the influence of class I and class II HLA specificities and of the concordance between maternal and infant HLA on vertical HIV-1 transmission. HLA typing of samples from mothers and infants enrolled in the Ariel study, a perinatal HIV-1 transmission cohort including 203 mother-infant pairs, was performed by serological and molecular methods. HLA effects were evaluated alone and by multivariate modeling considering also other known predictors of perinatal HIV-1 transmission (maternal viral load, antiretroviral therapy, duration of rupture of membranes, and histological chorioamnionitis). Modest associations were seen with specific HLA markers (increased risk with infant B67 and B58 and maternal DR1; decreased risk with maternal B12), but these were not statistically significant after adjusting for multiple comparisons. Mother-infant concordance at any class I locus was a strong predictor of transmission (odds ratio [OR], 4.16; p = 0.028). Transmission was not associated with class II concordance. Class I HLA concordance retained its importance after adjusting for maternal viral load, antiretroviral therapy, duration of rupture of membranes or histological chorioamnionitis. In multivariate modeling, only class I concordance (OR, 3.59; p = 0.069) and chorioamnionitis (OR, 3.79; p = 0.030) were retained as independent predictors of transmission. HLA alleles, and in particular the class I concordance between maternal and neonatal HLA, may regulate the risk of perinatal HIV-1 transmission

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Peer reviewed: NoNRC publication: Ye