drp, A novel cell density regulated protein

Growing cells are continuously processing signals of all varieties and responding to these signals by changes in cellular gene expression. One signal that cells in close proximity relay to each other is cell-cell contact. Non-transformed cells respond to cell-cell contact by arrest of growth and entry into G$\sb0,$ a process known as contact inhibition. Transformed cells do not respond to contact inhibition and continue to grow to high cell density, forming foci when in cell culture and tumors in the living organism. The events surrounding the generation, transduction, and response to cellular contact are poorly understood. In the present study, a novel gene product, drp, is shown to be expressed at high levels in cultured cells at high cell density. This density regulated protein, drp, has an apparent molecular weight of 70 kDa. Northern analysis shows drp to be highly expressed in cardiac and skeletal muscle and least abundant in lung and kidney tissues. By homology to two independently derived sequence tagged sites (STSs) used in the human genome project, drp or a closely related sequence maps to human chromosome 12. Density-dependent increases in drp expression have been demonstrated in six different cell lines including NIH 3T3, Hela and a human teratocarcinoma cell line, PA-1. Cells exhibit increased drp expression both when they are plated at increasing concentrations per unit area, or plated at low density and allowed to grow naturally to higher cell density. Cells at high density can exhibit several phenotypes including growth arrest, accumulation of soluble factors in the media, and increased numbers of cell contacts. Growth arrest by serum starvation or TGF-$\beta$ treatment fails to produce an increase in drp expression. Similarly, treatment of low density cells with conditioned media from high density cells fails to elicit drp expression. These results argue that neither soluble factors accumulated or expressed at high density nor simple exit from the cell cycle is sufficient to produce an increase in drp expression. The expression of drp appears to be uniquely regulated by cell density alone. ^

Prevalence of methicillin-resistant Staphylococcus aureus (MRSA) nasal colonization among dental professionals

Background. MRSA (methicillin-resistant Staphylococcus aureus) is a multi-drug resistant bacterium that is quite prevalent in social environments where close person-to-person contact and crowding are an issue. In dental settings, the likelihood of transmission of MRSA may be higher than among other healthcare practitioners because of the close proximity between a patient's nose (where MRSA colonizes) and the field of procedure (the mouth) to the dental professional. Objective. To estimate the prevalence of MRSA nasal colonization among dental professionals (dentists and dental hygienists) in the Greater Houston Metropolitan Area, Texas, and analyze its associations with demographic, professional and personal protective equipment-related variables. Methods. 800 dental professionals (400 dentists and 400 dental hygienists) were randomly selected in the Greater Houston Metropolitan Area. Multiple waves of nasal swab kits and a self-administered questionnaire were mailed to increase the response rate of the study population. The swabs were cultured on chromagenic agar growth medium and bacterial growth results were evaluated after 18 hours. Positively selected bacterial colonies were confirmed as MRSA by further culturing these isolated bacteria on blood agar plates. Associations between positive nasal swabs and self-reported professional practice patterns, personal protective equipment use and demographics were analyzed using multiple logistic regression. Main Results. Completed questionnaires and nasal swabs were received from 496 study participants (68%). Fourteen cultures were positive for MRSA (4.2% among dentists and 1.6% among dental hygienists, p=0.07). After adjusting for gender, dental hygienists had a significantly lower prevalence of nasal colonization of MRSA as compared to dentists (OR: 0.20, 95% CI: 0.05–0.75). No other significant associations or interactions were found. Conclusion. The prevalence of nasal colonization with MRSA among dentists is similar to that reported for health care workers in general, whereas prevalence among dental hygienists is only slightly above that of the general population (1%). Differences in practice patterns and use of personal protective equipment did not explain this difference in this study, and was possibly due either to residual confounding or unexplored risk factors. Increased prevalence of MRSA among dentists warrants further investigation as to the reason for the increased rate and to allow implementation of measures to avoid transmission and progression to disease. ^

Change in permeation rates of acids and bases through limited use protective fabrics after repeated wash cycles

The primary objective of this study was to determine if there is a change in permeation rates when limited use protective fabrics undergo repeated exposure and wash cycles. The null hypothesis of this study was that no substantial change in permeation takes place after the test material is subjected to repeated contact with a strong acid or base and has undergone repeated wash cycles. ^ The materials tested were DuPont Tychem® CPF 3 and CPF 4 fabrics. The challenge chemicals in this study were ninety-eight percent sulfuric acid and fifty percent sodium hydroxide. Permeation testing was conducted utilizing ASTM designation F739-99a Standard Test Method for Resistance of Protective Clothing Materials to Permeation by Liquids or Gases Under Conditions of Continuous Contact. ^ In this study, no change in permeation rates of either challenge chemical was detected for CPF 3 or CPF 4 limited use protective fabrics after repeated exposure and wash cycles. Certain unexposed areas of the fabric suffered structural degradation unrelated to exposure and which may be due to multiple washings.^

The role of self-efficacy in a low fat high fiber intervention to reduce breast cancer risk among African American women

Purpose. To determine if self-efficacy (SE) changes predicted total fat (TF) and total fiber (TFB) intake and the relationship between SE changes and the two dietary outcomes. ^ Design. This is a secondary analysis, utilizing baseline and first follow up (FFU) data from the NULIFE, a randomized trial. ^ Setting. Nutrition classes were taught in the Texas Medical Center in Houston, Texas. ^ Participants. 79 pre-menopausal, 25--45 year old African American women with an 85% response rate at FFU. ^ Method. Dietary intake was assessed with the Arizona Food Frequency Questionnaire and SE with the Self Efficacy for Dietary Change Questionnaire. Analysis was done using Stata version 9. Linear and logistic regression was used with adjustment for confounders. ^ Results. Linear regression analyses showed that SE changes for eating fruits and vegetables predicted total fiber intake in the control group for both the univariate (P = 0.001) and multivariate (P = 0.01) models while SE for eating fruits and vegetables at first follow-up predicted total fiber intake in the intervention for both models (P = 0.000). Logistic regression analyses of low fat SE changes and 30% or less for total fat intake, showed an adjusted OR of 0.22 (95% CI = 0.03, 1.48; P = 0.12) in the intervention group. The logistic regression analyses of SE changes in fruits and vegetables and 10g or more for total fiber intake, showed an adjusted OR of 6.25 (95% CI = 0.53, 72.78; P = 0.14) in the control group. ^ Conclusion. SE for eating fruits and vegetables at first follow-up predicted intervention groups' TFB intake and intervention women that increased their SE for eating a low fat diet were more likely to achieve the study goal of 30% or less calories from TF. SE changes for eating fruits and vegetables predicted the control's TFB intake and control women that increased their SE for eating fruits and vegetables were more likely to achieve the study goal of 10 g or more from TFB. Limitations are use of self-report measures, small sample size, and possible control group contamination.^