Transcriptional regulation of CD4 gene expression by T cell factor-1/beta-catenin pathway.

By interacting with MHC class II molecules, CD4 facilitates lineage development as well as activation of Th cells. Expression of physiological levels of CD4 requires a proximal CD4 enhancer to stimulate basic CD4 promoter activity. T cell factor (TCF)-1/beta-catenin pathway has previously been shown to regulate thymocyte survival via up-regulating antiapoptotic molecule Bcl-xL. By both loss and gain of function studies, in this study we show additional function of TCF-1/beta-catenin pathway in the regulation of CD4 expression in vivo. Mice deficient in TCF-1 displayed significantly reduced protein and mRNA levels of CD4 in CD4+ CD8+ double-positive (DP) thymocytes. A transgene encoding Bcl-2 restored survival but not CD4 levels of TCF-1(-/-) DP cells. Thus, TCF-1-regulated survival and CD4 expression are two separate events. In contrast, CD4 levels were restored on DP TCF-1(-/-) cells by transgenic expression of a wild-type TCF-1, but not a truncated TCF-1 that lacks a domain required for interacting with beta-catenin. Furthermore, forced expression of a stabilized beta-catenin, a coactivator of TCF-1, resulted in up-regulation of CD4. TCF-1 or stabilized beta-catenin greatly stimulated activity of a CD4 reporter gene driven by a basic CD4 promoter and the CD4 enhancer. However, mutation of a potential TCF binding site located within the enhancer abrogated TCF-1 and beta-catenin-mediated activation of CD4 reporter. Finally, recruitment of TCF-1 to CD4 enhancer was detected in wild-type but not TCF-1 null mice by chromatin-immunoprecipitation analysis. Thus, our results demonstrated that TCF/beta-catenin pathway enhances CD4 expression in vivo by recruiting TCF-1 to stimulate CD4 enhancer activity.

Frequency and determinants of unprotected sex among HIV-infected persons: the Swiss HIV cohort study.

BACKGROUND: Access to antiretroviral therapy may have changed condom use behavior. In January 2008, recommendations on condom use for human immunodeficiency virus (HIV)-positive persons were published in Switzerland, which allowed for unprotected sex under well-defined circumstances ("Swiss statement"). We studied the frequency, changes over time, and determinants of unprotected sex among HIV-positive persons. METHODS: Self-reported information on sexual preference, sexual partners, and condom use was collected at semi-annual visits in all participants of the prospective Swiss HIV Cohort Study from April 2007 through March 2009. Multivariable logistic regression models were fit using generalized estimating equations to investigate associations between characteristics of cohort participants and condom use. FINDINGS: A total of 7309 participants contributed to 21,978 visits. A total of 4291 persons (80%) reported sexual contacts with stable partners, 1646 (30%) with occasional partners, and 557 (10%) with stable and occasional partners. Of the study participants, 5838 (79.9%) of 7309 were receiving antiretroviral therapy, and of these, 4816 patients (82%) had a suppressed viral load. Condom use varied widely and differed by type of partner (visits with stable partners, 10,368 [80%] of 12,983; visits with occasional partners, 4300 [88%] of 4880) and by serostatus of stable partner (visits with HIV-negative partners, 7105 [89%] of 8174; visits with HIV-positive partners, 1453 [48%] of 2999). Participants were more likely to report unprotected sex with stable partners if they were receiving antiretroviral therapy, if HIV replication was suppressed, and after the publication of the "Swiss statement." Noninjection drug use and moderate or severe alcohol use were associated with unprotected sex. CONCLUSIONS: Antiretroviral treatment and plasma HIV RNA titers influence sexual behavior of HIV-positive persons. Noninjection illicit drug and alcohol use are important risk factors for unprotected sexual contacts.

Atlas-based segmentation of pathological brain MR images

We propose a method for brain atlas deformation inpresence of large space-occupying tumors, based on an apriori model of lesion growth that assumes radialexpansion of the lesion from its starting point. First,an affine registration brings the atlas and the patientinto global correspondence. Then, the seeding of asynthetic tumor into the brain atlas provides a templatefor the lesion. Finally, the seeded atlas is deformed,combining a method derived from optical flow principlesand a model of lesion growth (MLG). Results show that themethod can be applied to the automatic segmentation ofstructures and substructures in brains with grossdeformation, with important medical applications inneurosurgery, radiosurgery and radiotherapy.

Towards a diffusion image processing validation and accuracy prediction framework

Validation is the main bottleneck preventing theadoption of many medical image processing algorithms inthe clinical practice. In the classical approach,a-posteriori analysis is performed based on someobjective metrics. In this work, a different approachbased on Petri Nets (PN) is proposed. The basic ideaconsists in predicting the accuracy that will result froma given processing based on the characterization of thesources of inaccuracy of the system. Here we propose aproof of concept in the scenario of a diffusion imaginganalysis pipeline. A PN is built after the detection ofthe possible sources of inaccuracy. By integrating thefirst qualitative insights based on the PN withquantitative measures, it is possible to optimize the PNitself, to predict the inaccuracy of the system in adifferent setting. Results show that the proposed modelprovides a good prediction performance and suggests theoptimal processing approach.