Suppression of peripheral blood mononuclear cell proliferation by a periodontopathic bacteria {\it Actinobacillus actinomycetemcomitans\/}

Actinobacillus actinomycetemcomitans (Aa) is a gram-negative coccobacillus implicated as a major pathogen in juvenile periodontitis. The immunosuppressive activity of a sonic extract (designated 100SN) derived from Aa was investigated. 100SN suppressed spontaneous proliferation as well as proliferative response to the mitogens, PHA and PWM, of human peripheral blood mononuclear cells (PBMC). 100SN-induced suppression of PHA-stimulated proliferation was heat-sensitive, inactivated by pronase and trypsin, dose-dependent and non-cytotoxic. There were no significant changes in the CD4$\sp+$ or CD8$\sp+$ subsets of PBMC after 7-day incubation with 100SN. There was a trend toward increased levels of the CD4$\sp+$CD45R$\sp{\rm hi}$CDw29$\sp{\rm lo}$ (naive cells, associated with suppressor-inducer activity) and CD4$\sp+$CDw29$\sp{\rm hi}$CD45R$\sp{\rm lo}$ (memory cells, associated with helper-inducer activity) subsets. The target of 100SN appeared to be the non-adherent cells and suppression by 100SN could not be reversed by indomethacin (IDM), the cyclo-oxygenase inhibitor of prostaglandin (PG) synthesis. The mechanism of 100SN-induced suppression was studied in terms of inhibition involving IL-2-regulated T cell proliferation and the results point to the possibility that suppression occurred subsequent to IL-2 receptor binding.^ The suppressive activity observed could occur through multiple mechanisms including cell-cell; contact or release of soluble factors. Supernatants derived from 7-day cultures of PBMC and 100SN (designated CSN-A) were able to suppress proliferative response of PBMC to PHA without affecting cell viability. Analysis of CSN-A showed that it contained PGE2 and soluble IL-2 receptors. Suppression by CSN-A could be partially overcome by either IDM or exogenous IL-2. Significant suppression was also maintained when both IDM and exogenous IL-2 were added at the same time. These findings suggest that PGE2 and soluble IL-2 receptors contribute to the suppression observed but other suppressive cytokine(s) may be involved. Collectively, the data indicate that a factor derived from oral bacteria associated with juvenile periodontitis have profound effects on cellular immune responses, and that these effects may be partially mediated by secondary factors produced by the host in response to the bacteria. ^

The roles of costimulatory molecules in the cooperative effects of combination epinephrine and dexamethasone on type-1/type-2 cytokine production in tetanus-toxoid specific stimulated human peripheral blood mononuclear cells

A growing number of studies show strong associations between stress and altered immune function. In vivo studies of chronic and acute stress have demonstrated that cognitive stressors are strongly correlated with high circulating levels of catecholamines (CT) and corticosteroids (CS) that are associated with changes in type-1/type-2 cytokine expression. Although individual pharmacologic doses of CS and CT can inhibit the expression of T-helper 1 (Th1, type-1 like) and promote the production of T-helper 2 (Th2, type-2 like) cytokines in antigen-specific and mitogen stimulated human leukocyte cultures in vitro, little attention has been focused on the effects of combination physiologic-stress doses of CT and CS that may be more physiologically relevant. In addition, both in-vivo and in-vitro studies suggest that the differential expression of the B7 family of costimulatory molecules CD80 and CD86 may promote the expression of type-1 or type-2 cytokines, respectively. Furthermore, corticosteroids can influence the expression of β2-adrenergic receptors in various human tissues. We therefore investigated the combined effects of physiologic-stress doses of in vitro CT and CS upon the type-1/type-2 cytokine balance and expression of B7 costimulatory molecules of human peripheral blood mononuclear cells (PBMC) as a model to study the immunomodulatory effects of physiologic stress. Results demonstrated a significant decrease in type-1 cytokine expression and a significant increase in type-2 cytokine production in our CS+CT incubated cultures when compared to either CT or CS agents alone. In addition, we demonstrated the differential expression of CD80/CD86 in favor of CD86 at the cellular and population level as determined by flow cytometry in lipopolysaccharide stimulated human Monocytes. Furthermore, we developed flow cytometry based assays to detect total β2AR in human CD4+ T-lymphocytes that demonstrated decreased expression of β2AR in mitogen stimulated CD4+ T-lymphocytes in the presence of physiologic stress levels of CS and CT as single in vitro agents, however, when both CS and CT were combined, significantly higher expression of β2AR was observed. In summary, our in vitro data suggest that both CS and CT work cooperatively to shift immunity towards type-2 responses. ^

Application of the general linear model to assess the effect of missing data on bone marrow mononuclear cell therapy with infusion timing and follow-up MRI

With most clinical trials, missing data presents a statistical problem in evaluating a treatment's efficacy. There are many methods commonly used to assess missing data; however, these methods leave room for bias to enter the study. This thesis was a secondary analysis on data taken from TIME, a phase 2 randomized clinical trial conducted to evaluate the safety and effect of the administration timing of bone marrow mononuclear cells (BMMNC) for subjects with acute myocardial infarction (AMI).^ We evaluated the effect of missing data by comparing the variance inflation factor (VIF) of the effect of therapy between all subjects and only subjects with complete data. Through the general linear model, an unbiased solution was made for the VIF of the treatment's efficacy using the weighted least squares method to incorporate missing data. Two groups were identified from the TIME data: 1) all subjects and 2) subjects with complete data (baseline and follow-up measurements). After the general solution was found for the VIF, it was migrated Excel 2010 to evaluate data from TIME. The resulting numerical value from the two groups was compared to assess the effect of missing data.^ The VIF values from the TIME study were considerably less in the group with missing data. By design, we varied the correlation factor in order to evaluate the VIFs of both groups. As the correlation factor increased, the VIF values increased at a faster rate in the group with only complete data. Furthermore, while varying the correlation factor, the number of subjects with missing data was also varied to see how missing data affects the VIF. When subjects with only baseline data was increased, we saw a significant rate increase in VIF values in the group with only complete data while the group with missing data saw a steady and consistent increase in the VIF. The same was seen when we varied the group with follow-up only data. This essentially showed that the VIFs steadily increased when missing data is not ignored. When missing data is ignored as with our comparison group, the VIF values sharply increase as correlation increases.^