Effect of thiazolidinedione, a class of anti-diabetic drugs, on the mouse skin tumorigenesis

Thiazolidinediones (TZDs), a novel class of anti-diabetic drugs, have been known as ligands of peroxisome proliferator-activated receptor γ (PPARγ), a transcription factor that belongs to the nuclear receptor superfamily. These synthetic compounds improve insulin sensitivity in patients with type II diabetes likely through activating PAPRγ. Interestingly, they were also shown to inhibit cell growth and proliferation in a wide variety of tumor cell lines. The aim of this study is to assess the potential use of TZDs in the prevention of carcinogenesis using mouse skin as a model. ^ We found that troglitazone, one of TZD drugs, strongly inhibited cultured mouse skin keratinocyte proliferation as demonstrated by [3H]thymidine incorporation assay. It also induced a cell cycle G1 phase arrest and inhibited expression of cell cycle proteins, including cyclin D1, cdk2 and cdk4. Further experiments showed that PPARγ expression in keratinocytes was surprisingly undetectable in vitro or in vivo. Consistent with this, no endogenous PPARγ function in keratinocytes was found, suggesting that the inhibition of troglitazone on keratinocyte proliferation and cell cycle was PPARγ-independent. We further found that troglitazone inhibited insulin/insulin growth factor I (IGF-1) mitogenic signaling, which may explains, at least partly, its inhibitory effect on keratinocyte proliferation. We showed that troglitazone rapidly inhibited IGF-1 induced phosphorylation of p70S6K by mammalian target of rapamycin (mTOR). However, troglitazone did not directly inhibit mTOR kinase activity as shown by in vitro kinase assay. The inhibition of p70S6K is likely to be the result of strong activation of AMP activated protein kinase (AMPK) by TZDs. Stable expression of a dominant negative AMPK in keratinocytes blocked the inhibitory effect of troglitazone on IGF-1 induced phosphorylation of p70S6K. ^ Finally, we found that dietary TZDs inhibited by up to 73% mouse skin tumor development promoted by elevated IGF-1 signaling in BK5-IGF-1 transgenic mice, while they had no or little effect on skin tumor development promoted by 12-O-tetradecanoylphorbol-13-acetate (TPA) or ultraviolet (UV). Since IGF-1 signaling is frequently found to be elevated in patients with insulin resistance and in many human tumors, our data suggest that TZDs may provide tumor preventive benefit particularly to these patients. ^

Study of length of stay in the cardiovascular intensive care unit

Coronary artery bypass graft (CABG) surgery is among the most common operations performed in the United States and accounts for more resources expended in cardiovascular medicine than any other single procedure. CABG surgery patients initially recover in the Cardiovascular Intensive Care Unit (CVICU). The post-procedure CVICU length of stay (LOS) goal is two days or less. A longer ICU LOS is associated with a prolonged hospital LOS, poor health outcomes, greater use of limited resources, and increased medical costs. ^ Research has shown that experienced clinicians can predict LOS no better than chance. Current CABG surgery LOS risk models differ greatly in generalizability and ease of use in the clinical setting. A predictive model that identified modifiable pre- and intra-operative risk factors for CVICU LOS greater than two days could have major public health implications as modification of these identified factors could decrease CVICU LOS and potentially minimize morbidity and mortality, optimize use of limited health care resources, and decrease medical costs. ^ The primary aim of this study was to identify modifiable pre-and intra-operative predictors of CVICU LOS greater than two days for CABG surgery patients with cardiopulmonary bypass (CPB). A secondary aim was to build a probability equation for CVICU LOS greater than two days. Data were extracted from 416 medical records of CABG surgery patients with CPB, 50 to 80 years of age, recovered in the CVICU of a large teaching, referral hospital in southeastern Texas, during the calendar year 2004 and the first quarter of 2005. Exclusion criteria included Diagnosis Related Group (DRG) 106, CABG surgery without CPB, CABG surgery with other procedures, and operative deaths. The data were analyzed using multivariate logistic regression for an alpha=0.05, power=0.80, and correlation=0.26. ^ This study found age, history of peripheral arterial disease, and total operative time equal to and greater than four hours to be independent predictors of CVICU LOS greater than two days. The probability of CVICU LOS greater than two days can be calculated by the following equation: -2.872941 +.0323081 (age in years) + .8177223 (history of peripheral arterial disease) + .70379 (operative time). ^

The number and timing of time -dependent covariate measurements for the Cox regression model

The problem of analyzing data with updated measurements in the time-dependent proportional hazards model arises frequently in practice. One available option is to reduce the number of intervals (or updated measurements) to be included in the Cox regression model. We empirically investigated the bias of the estimator of the time-dependent covariate while varying the effect of failure rate, sample size, true values of the parameters and the number of intervals. We also evaluated how often a time-dependent covariate needs to be collected and assessed the effect of sample size and failure rate on the power of testing a time-dependent effect.^ A time-dependent proportional hazards model with two binary covariates was considered. The time axis was partitioned into k intervals. The baseline hazard was assumed to be 1 so that the failure times were exponentially distributed in the ith interval. A type II censoring model was adopted to characterize the failure rate. The factors of interest were sample size (500, 1000), type II censoring with failure rates of 0.05, 0.10, and 0.20, and three values for each of the non-time-dependent and time-dependent covariates (1/4,1/2,3/4).^ The mean of the bias of the estimator of the coefficient of the time-dependent covariate decreased as sample size and number of intervals increased whereas the mean of the bias increased as failure rate and true values of the covariates increased. The mean of the bias of the estimator of the coefficient was smallest when all of the updated measurements were used in the model compared with two models that used selected measurements of the time-dependent covariate. For the model that included all the measurements, the coverage rates of the estimator of the coefficient of the time-dependent covariate was in most cases 90% or more except when the failure rate was high (0.20). The power associated with testing a time-dependent effect was highest when all of the measurements of the time-dependent covariate were used. An example from the Systolic Hypertension in the Elderly Program Cooperative Research Group is presented. ^