Diversity in T cell costimulation by alpha4beta1 integrin

T cell activation requires antigen-specific T cell receptor signals that spatially and temporally coincide with a second costimulatory signal. CD28 and α4β1 integrin both function as T cell costimulators, but their individual mechanisms remain elusive. By directly comparing CD3-dependent functions and signaling pathways employed by these two costimulatory receptors, aspects of their individual signaling mechanisms are explored. We determined that CD28 and α4β1 integrins both use Src-family kinase Lck and MAPK Erk, but to different extents and functional ends. After identifying functional differences between CD28 and integrin costimulatory pathways, the focus of the study turned to integrin signaling in naïve and memory T cell subsets. CD45RO T cells are fully co-activated by natural β1 integrin ligands fibronectin (FN) and VCAM-1, β1 monoclonal antibody 33B6, as well as α4β1 monoclonal antibody 19H8 which binds a combinatorial epitope of the α4β1 heterodimer. While CD28 fully costimulates CD45RA T cells, the degree of activation from integrin ligands varies. FN costimulates CD3-dependent proliferation, IL-2 secretion, and early activation markers CD25 and CD69. However, β1 antibody 33B6, which binds to the same T cell integrins (α4β1 and α5β1) as natural ligand FN, failed to costimulate proliferation or IL-2 in the CD45RA subset, but retained the ability to regulate CD25 and CD69. Unique aspects of 19H8 signaling involve early Erk activation and IL-2 independent proliferation. Signaling defects through 33B6 ligation correlates with poor adhesion under fluid flow conditions, suggesting a cytoskeletal basis for signaling. All together, these data provide evidence for a mechanism of α4β1 integrin signaling and describe functional differences between naïve and memory T cells. ^

Analysis of prognostic factors for the development of metastases and survival in renal cell carcinoma patients

Introduction and objective. A number of prognostic factors have been reported for predicting survival in patients with renal cell carcinoma. Yet few studies have analyzed the effects of those factors at different stages of the disease process. In this study, different stages of disease progression starting from nephrectomy to metastasis, from metastasis to death, and from evaluation to death were evaluated. ^ Methods. In this retrospective follow-up study, records of 97 deceased renal cell carcinoma (RCC) patients were reviewed between September 2006 to October 2006. Patients with TNM Stage IV disease before nephrectomy or with cancer diagnoses other than RCC were excluded leaving 64 records for analysis. Patient TNM staging, Furhman Grade, age, tumor size, tumor volume, histology and patient gender were analyzed in relation to time to metastases. Time from nephrectomy to metastasis, TNM staging, Furhman Grade, age, tumor size, tumor volume, histology and patient gender were tested for significance in relation to time from metastases to death. Finally, analysis of laboratory values at time of evaluation, Eastern Cooperative Oncology Group performance status (ECOG), UCLA Integrated Staging System (UISS), time from nephrectomy to metastasis, TNM staging, Furhman Grade, age, tumor size, tumor volume, histology and patient gender were tested for significance in relation to time from evaluation to death. Linear regression and Cox Proportional Hazard (univariate and multivariate) was used for testing significance. Kaplan-Meier Log-Rank test was used to detect any significance between groups at various endpoints. ^ Results. Compared to negative lymph nodes at time of nephrectomy, a single positive lymph node had significantly shorter time to metastasis (p<0.0001). Compared to other histological types, clear cell histology had significant metastasis free survival (p=0.003). Clear cell histology compared to other types (p=0.0002 univariate, p=0.038 multivariate) and time to metastasis with log conversion (p=0.028) significantly affected time from metastasis to death. A greater than one year and greater than two year metastasis free interval, compared to patients that had metastasis before one and two years, had statistically significant survival benefit (p=0.004 and p=0.0318). Time from evaluation to death was affected by greater than one year metastasis free interval (p=0.0459), alcohol consumption (p=0.044), LDH (p=0.006), ECOG performance status (p<0.001), and hemoglobin level (p=0.0092). The UISS risk stratified the patient population in a statistically significant manner for survival (p=0.001). No other factors were found to be significant. ^ Conclusion. Clear cell histology is predictive for both time to metastasis and metastasis to death. Nodal status at time of nephrectomy may predict risk of metastasis. The time interval to metastasis significantly predicts time from metastasis to death and time from evaluation to death. ECOG performance status, and hemoglobin levels predicts survival outcome at evaluation. Finally, UISS appropriately stratifies risk in our population. ^

Racial disparities in CD4 counts at initial HIV-1 diagnosis: Analysis of the Adult Spectrum of HIV disease dataset and public health implications

Introduction. The HIV/AIDS disease burden disproportionately affects minority populations, specifically African Americans. While sexual risk behaviors play a role in the observed HIV burden, other factors including gender, age, socioeconomics, and barriers to healthcare access may also be contributory. The goal of this study was to determine how far down the HIV/AIDS disease process people of different ethnicities first present for healthcare. The study specifically analyzed the differences in CD4 cell counts at the initial HIV-1 diagnosis with respect to ethnicity. The study also analyzed racial differences in HIV/AIDS risk factors. ^ Methods. This is a retrospective study using data from the Adult Spectrum of HIV Disease (ASD), collected by the City of Houston Department of Health. The ASD database contains information on newly reported HIV cases in the Harris County District Hospitals between 1989 and 2000. Each patient had an initial and a follow-up report. The extracted variables of interest from the ASD data set were CD4 counts at the initial HIV diagnosis, race, gender, age at HIV diagnosis and behavioral risk factors. One-way ANOVA was used to examine differences in baseline CD4 counts at HIV diagnosis between racial/ethnic groups. Chi square was used to analyze racial differences in risk factors. ^ Results. The analyzed study sample was 4767. The study population was 47% Black, 37% White and 16% Hispanic [p<0.05]. The mean and median CD4 counts at diagnosis were 254 and 193 cells per ml, respectively. At the initial HIV diagnosis Blacks had the highest average CD4 counts (285), followed by Whites (233) and Hispanics (212) [p<0.001 ]. These statistical differences, however, were only observed with CD4 counts above 350 [p<0.001], even when adjusted for age at diagnosis and gender [p<0.05]. Looking at risk factors, Blacks were mostly affected by intravenous drug use (IVDU) and heterosexuality, whereas Whites and Hispanics were more affected by male homosexuality [ p<0.05]. ^ Conclusion. (1) There were statistical differences in CD4 counts with respect to ethnicity, but these differences only existed for CD4 counts above 350. These differences however do not appear to have clinical significance. Antithetically, Blacks had the highest CD4 counts followed by Whites and Hispanics. (2) 50% of this study group clinically had AIDS at their initial HIV diagnosis (median=193), irrespective of ethnicity. It was not clear from data analysis if these observations were due to failure of early HIV surveillance, HIV testing policies or healthcare access. More studies need to be done to address this question. (3) Homosexuality and bisexuality were the biggest risk factors for Whites and Hispanics, whereas for Blacks were mostly affected by heterosexuality and IVDU, implying a need for different public health intervention strategies for these racial groups. ^

Federal regulation of human embryonic stem cell research

President George W. Bush's 2001 statement, which laid out guidelines for research that uses human embryonic stem cells to qualify for federal funding, intends to prevent new embryonic stem cell lines from being developed, by prohibiting the federal funding of research that uses embryonic stem cell lines other than those that existed at the time of the policy's inception and were approved by the National Institutes of Health. This policy raises questions of medical and technological ethics and the governments' role in making decisions regarding the advancement of science based on moral and political opinions. Federal stem cell usage policy directly affects scientific research efforts that are currently on the path to understanding the mechanisms of cell differentiation and could potentially offer answers and therapies for disabilities and many chronic diseases. By reviewing the current literature on the background information on human embryonic stem cells, including what they are, where they come from, how they are used for research purposes, and the ethical controversy surrounding their use, I have researched and reported the impact of the 2001 policy on medical research. ^ Both those who support the current policy on human embryonic stem cell research and those who are advocates for policy change have relevant arguments and varying opinions on human embryonic stem cell usage itself. The ethical implication of how embryonic stem cells are obtained has led to fierce debate. This paper presents many arguments for and against hESC research in addition to the policy governing their use. This analysis concludes that the current policy on federal funding of human embryonic stem cell research should be revised to allow research using new stem lines to be eligible for federal funding under specific guidelines. Supporting evidence for this recommendation is provided.^