Overexpression of transforming growth factor-alpha and epidermal growth factor-receptor in idiopathic pulmonary fibrosis

BACKGROUND AND AIM: A recent transgenic mouse model overexpressing transforming growth factor alpha (TGF-alpha) led to a phenotype of pulmonary fibrosis. In order to validate this mouse as a model for idiopathic pulmonary fibrosis in humans, we studied the expression of TGF-alpha in lung tissue of patients with idiopathic pulmonary fibrosis compared to control lung tissue. METHODS: Tissue from both groups was obtained from operative specimens and immediately formalin-fixed and paraffin embedded. Contiguous four micron sections were prepared for conventional histochemical staining and staining with antibodies to either TGF-alpha or the epidermal growth factor-receptor (EGF-R). Immunostaining was performed using the Ventana ES automated immunohistochemistry system. Four cell types were examined (vascular endothelium, bronchial epithelium, type 2 pneumocytes, and fibroblasts) and stain activity was scored on a six point scale. RESULTS: Eleven patients with IPF were compared to seven control subjects. TGF-alpha immunoreactivity was significantly higher in the IPF patients than in controls in the vascular endothelium, type 2 pneumocytes, and fibroblasts (P < 0.005). [IPF (4(2-4) Median (Range)) than the controls (0.5(0-2), p < 0.0005).] The differences in EGF-R, one of the receptors for TGF-alpha, between these two patient populations were not as striking. There was a small but significantly greater expression of EGF-R in the bronchial epithelium and type 2 pneumocytes of the IPF patients. CONCLUSIONS: TGF-alpha is overexpressed in patients with IPF, especially in the vascular endothelial cells.     

Intraoperative cell salvage with autologous transfusion in liver transplantation

Liver transplant(LT) is the primary treatment for patients with end-stage liver disease. About 25000 LTs are performed annually in the world. The potential for intraoperative bleeding is quite variable. However, massive bleeding is common and requires blood transfusion. Allogeneic blood transfusion has an immunosuppressive effect and an impact on recipient survival, in addition to the risk of transmission of viral infections and transfusion errors, among others.Techniques to prevent excessive bleeding or to use autologous blood have been proposed to minimize the negative effects of allogeneic blood transfusion.Intraoperative reinfusion of autologous blood is possible through previous selfdonation or blood collected during the operation. However, LT does not normally allow autologous transfusion by prior self-donation. Hence, using autologous blood collected intraoperatively is the most feasible option. The use of intraoperative blood salvage autotransfusion(IBSA) minimizes the perioperative use of allogeneic blood, preventing negative transfusion effects without negatively impacting other clinical outcomes. The use of IBSA in patients with cancer is still a matter of debate due to the theoretical risk of reinfusion of tumor cells. However, studies have demonstrated the safety of IBSA in several surgical procedures, including LT for hepatocellular carcinoma. Considering the literature available to date, we can state that IBSA should be routinely used in LT, both in patients with cancer and in patients with benign diseases.     

Fanconi's anemia treated by allogeneic marrow transplantation

Eight patients with Fanconi's anemia were given cyclophosphamide alone (seven patients) or combined with procarbazine and antithymocyte globulin (one patient) followed by marrow grafts from HLA-identical siblings. All patients had engraftment. Seven developed acute and three chronic graft-versus-host disease (GVHD). Three patients died with GVHD and infectious complications (days 19, 56, and 82) and one with an intracerebral hemorrhage (day 540). Four patients are surviving 647- 3435 days after grafting, two are well, and two have chronic GVHD that is improving. These results show that Fanconi's anemia can be treated successfully by allogeneic marrow transplantation.     

Mixture Model Framework Facilitates Understanding of Zero-Inflated and Hurdle Models for Count Data

In this note, we comment on the zero-inflated and hurdle models for count data presented by Rose et al., 2006 Rose , C. E. , Martin , S. W. , Wannemuehler , K. A. , Plikaytis , B. D. ( 2006 ). On the use of zero-inflated and hurdle models for modeling vaccine adverse event count data . J. Biopharma. Stat. 16 : 463 – 481 .[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar], J. Biopharma. Stat. 16:463–481. By viewing these models as finite mixture models, one gains a better understanding of the components of the models, including assumptions about the latent variable(s) in the finite mixture models. Deciding whether a zero-inflated or hurdle model is appropriate for a given data set requires close collaboration with subject matter experts. For instance, in modeling vaccine adverse event count data, the pharmacokinetic rationale for the occurrence of an adverse event and the likelihood of detecting or reporting the adverse event are important considerations for mixture model development.     

Assessing dietary and exercise stage of change to optimize weight loss interventions

OBJECTIVE: According to the Transtheoretical Model (TM), tailoring interventions to patients' readiness to change can enhance patient progress and help patients use therapeutic resources more effectively. However, tailoring an intervention depends on accurate assessment of patients' stage of change (SOC). This study describes a multi-item algorithm of SOC (M-SOC) for weight loss-related behaviors that attempts to overcome some of the conceptual and methodological difficulties encountered in previously SOC assessments. Research Methods: Data were collected from participants randomly assigned to the treatment arm of a clinical trial comparing a TM-based, cognitive-behavioral intervention with enhanced usual care for weight loss. RESULTS: The stair-step relationships hypothesized by the TM between assessed SOC and key behavioral measures were found for all algorithms (p < 0.05), indicating that the M-SOC algorithm performs as well as single item algorithms. However, 50% fewer patients were classified in action or maintenance for dietary fat intake and portion control (p < 0.05) by the multiple-item algorithms, providing staging more consistent with the clinical presentation of obese individuals. In addition, logistic regression analyses indicated that the single-item algorithms were not sufficient predictors of these behavioral domains. DISCUSSION: To the extent that treatment is guided by assessed SOC, there is potential for a considerable variability in interventions with different approaches to staging. For weight-loss interventions that target portion control and decreased fat intake, the multi-item SOC algorithms seem to be better guides for matching treatments to SOC.