Avoid Simple Solutions and Quick Fixes: Lessons Learned From a Comprehensive Districtwide Approach to Improving Student Behavior and School Safety

We examine the effects of the Cleveland Metropolitan School District’s (CMSD) districtwide efforts to improve school safety, order, and conditions for learning. These approaches include implementing (1) a social and emotional learning program for elementary students (PATHS); (2) a planning model for students exhibiting academic or nonacademic needs (student support teams); and (3) a learner-centered approach to discipline (planning centers). We found that improved conditions for learning as well as student support interventions can foster safer, more productive schools. Suspension and expulsion rates decreased, but racial/ethnic disparities remained. Implementation quality also mediated outcomes. Transforming conditions contributing to exclusionary discipline often requires a sustained effort that should begin with an understanding that a culture of change, unlike “quick fixes” (e.g., metal detectors), requires time to engage stakeholders, cultivate their buy-in, and develop and implement an effective plan. We conclude with six recommendations addressing conditions for learning, student supports, and disciplinary disparities

Examining Theoretical Predicators of Substance Use Among a Sample of Incarcerated Youth

A wide variety of theoretical perspectives have been found to have an association with substance abuse. Most of these studies use data from samples of public school students and thus capture only part of the youth population. Using data from approximately 800 delinquents incarcerated in a Midwestern state, we examine the association between attitudes about drug and alcohol use and use of drugs and four theoretical perspectives: nonsocial reinforcement theory, social learning theory, social control theory, and strain theory. Our findings suggest that nonsocial reinforcement is the best predictor of both preference for and use of illegal substances among this sample, followed closely by social learning theory. Implications for policy and future research are also discussed

Aberrant DNA Methylation of OLIG1, a Novel Prognostic Factor in Non-Small Cell Lung Cancer

BACKGROUND: Lung cancer is the leading cause of cancer-related death worldwide. Currently, tumor, node, metastasis (TNM) staging provides the most accurate prognostic parameter for patients with non-small cell lung cancer (NSCLC). However, the overall survival of patients with resectable tumors varies significantly, indicating the need for additional prognostic factors to better predict the outcome of the disease, particularly within a given TNM subset. METHODS AND FINDINGS: In this study, we investigated whether adenocarcinomas and squamous cell carcinomas could be differentiated based on their global aberrant DNA methylation patterns. We performed restriction landmark genomic scanning on 40 patient samples and identified 47 DNA methylation targets that together could distinguish the two lung cancer subgroups. The protein expression of one of those targets, oligodendrocyte transcription factor 1 (OLIG1), significantly correlated with survival in NSCLC patients, as shown by univariate and multivariate analyses. Furthermore, the hazard ratio for patients negative for OLIG1 protein was significantly higher than the one for those patients expressing the protein, even at low levels. CONCLUSIONS: Multivariate analyses of our data confirmed that OLIG1 protein expression significantly correlates with overall survival in NSCLC patients, with a relative risk of 0.84 (95% confidence interval 0.77–0.91, p < 0.001) along with T and N stages, as indicated by a Cox proportional hazard model. Taken together, our results suggests that OLIG1 protein expression could be utilized as a novel prognostic factor, which could aid in deciding which NSCLC patients might benefit from more aggressive therapy. This is potentially of great significance, as the addition of postoperative adjuvant chemotherapy in T2N0 NSCLC patients is still controversial

The vaginal microflora in relation to gingivitis

<p>Abstract</p> <p>Background</p> <p>Gingivitis has been linked to adverse pregnancy outcome (APO). Bacterial vaginosis (BV) has been associated with APO. We assessed if bacterial counts in BV is associated with gingivitis suggesting a systemic infectious susceptibilty.</p> <p>Methods</p> <p>Vaginal samples were collected from 180 women (mean age 29.4 years, SD ± 6.8, range: 18 to 46), and at least six months after delivery, and assessed by semi-quantitative DNA-DNA checkerboard hybridization assay (74 bacterial species). BV was defined by Gram stain (Nugent criteria). Gingivitis was defined as bleeding on probing at ≥ 20% of tooth sites.</p> <p>Results</p> <p>A Nugent score of 0–3 (normal vaginal microflora) was found in 83 women (46.1%), and a score of > 7 (BV) in 49 women (27.2%). Gingivitis was diagnosed in 114 women (63.3%). Women with a diagnosis of BV were more likely to have gingivitis (p = 0.01). Independent of gingival conditions, vaginal bacterial counts were higher (p < 0.001) for 38/74 species in BV+ in comparison to BV- women. Counts of four lactobacilli species were higher in BV- women (p < 0.001). Independent of BV diagnosis, women with gingivitis had higher counts of <it>Prevotella bivia </it>(p < 0.001), and <it>Prevotella disiens </it>(p < 0.001). <it>P. bivia, P. disiens, M. curtisii </it>and <it>M. mulieris </it>(all at the p < 0.01 level) were found at higher levels in the BV+/G+ group than in the BV+/G- group. The sum of bacterial load (74 species) was higher in the BV+/G+ group than in the BV+/G- group (p < 0.05). The highest odds ratio for the presence of bacteria in vaginal samples (> 1.0 × 10⁴cells) and a diagnosis of gingivitis was 3.9 for <it>P. bivia </it>(95% CI 1.5–5.7, p < 0.001) and 3.6 for <it>P. disiens </it>(95%CI: 1.8–7.5, p < 0.001), and a diagnosis of BV for <it>P. bivia </it>(odds ratio: 5.3, 95%CI: 2.6 to 10.4, p < 0.001) and <it>P. disiens </it>(odds ratio: 4.4, 95% CI: 2.2 to 8.8, p < 0.001).</p> <p>Conclusion</p> <p>Higher vaginal bacterial counts can be found in women with BV and gingivitis in comparison to women with BV but not gingivitis. <it>P. bivia </it>and <it>P. disiens </it>may be of specific significance in a relationship between vaginal and gingival infections.</p

Flavopiridol Pharmacogenetics: Clinical and Functional Evidence for the Role of SLCO1B1/OATP1B1 in Flavopiridol Disposition

Flavopiridol is a cyclin-dependent kinase inhibitor in phase II clinical development for treatment of various forms of cancer. When administered with a pharmacokinetically (PK)-directed dosing schedule, flavopiridol exhibited striking activity in patients with refractory chronic lymphocytic leukemia. This study aimed to evaluate pharmacogenetic factors associated with inter-individual variability in pharmacokinetics and outcomes associated with flavopiridol therapy.Thirty-five patients who received single-agent flavopiridol via the PK-directed schedule were genotyped for 189 polymorphisms in genes encoding 56 drug metabolizing enzymes and transporters. Genotypes were evaluated in univariate and multivariate analyses as covariates in a population PK model. Transport of flavopiridol and its glucuronide metabolite was evaluated in uptake assays in HEK-293 and MDCK-II cells transiently transfected with SLCO1B1. Polymorphisms in ABCC2, ABCG2, UGT1A1, UGT1A9, and SLCO1B1 were found to significantly correlate with flavopiridol PK in univariate analysis. Transport assay results indicated both flavopiridol and flavopiridol-glucuronide are substrates of the SLCO1B1/OATP1B1 transporter. Covariates incorporated into the final population PK model included bilirubin, SLCO1B1 rs11045819 and ABCC2 rs8187710. Associations were also observed between genotype and response. To validate these findings, a second set of data with 51 patients was evaluated, and overall trends for associations between PK and PGx were found to be consistent.Polymorphisms in transport genes were found to be associated with flavopiridol disposition and outcomes. Observed clinical associations with SLCO1B1 were functionally validated indicating for the first time its relevance as a transporter of flavopiridol and its glucuronide metabolite. A second 51-patient dataset indicated similar trends between genotype in the SLCO1B1 and other candidate genes, thus providing support for these findings. Further study in larger patient populations will be necessary to fully characterize and validate the clinical impact of polymorphisms in SLCO1B1 and other transporter and metabolizing enzyme genes on outcomes from flavopiridol therapy

The Novel Deacetylase Inhibitor AR-42 Demonstrates Pre-Clinical Activity in B-Cell Malignancies In Vitro and In Vivo

While deacetylase (DAC) inhibitors show promise for the treatment of B-cell malignancies, those introduced to date are weak inhibitors of class I and II DACs or potent inhibitors of class I DAC only, and have shown suboptimal activity or unacceptable toxicities. We therefore investigated the novel DAC inhibitor AR-42 to determine its efficacy in B-cell malignancies.In mantle cell lymphoma (JeKo-1), Burkitt's lymphoma (Raji), and acute lymphoblastic leukemia (697) cell lines, the 48-hr IC(50) (50% growth inhibitory concentration) of AR-42 is 0.61 microM or less. In chronic lymphocytic leukemia (CLL) patient cells, the 48-hr LC(50) (concentration lethal to 50%) of AR-42 is 0.76 microM. AR-42 produces dose- and time-dependent acetylation both of histones and tubulin, and induces caspase-dependent apoptosis that is not reduced in the presence of stromal cells. AR-42 also sensitizes CLL cells to TNF-Related Apoptosis Inducing Ligand (TRAIL), potentially through reduction of c-FLIP. AR-42 significantly reduced leukocyte counts and/or prolonged survival in three separate mouse models of B-cell malignancy without evidence of toxicity.Together, these data demonstrate that AR-42 has in vitro and in vivo efficacy at tolerable doses. These results strongly support upcoming phase I testing of AR-42 in B-cell malignancies

Detection of microRNA Expression in Human Peripheral Blood Microvesicles

MicroRNAs (miRNA) are small non-coding RNAs that regulate translation of mRNA and protein. Loss or enhanced expression of miRNAs is associated with several diseases, including cancer. However, the identification of circulating miRNA in healthy donors is not well characterized. Microvesicles, also known as exosomes or microparticles, circulate in the peripheral blood and can stimulate cellular signaling. In this study, we hypothesized that under normal healthy conditions, microvesicles contain miRNAs, contributing to biological homeostasis.Microvesicles were isolated from the plasma of normal healthy individuals. RNA was isolated from both the microvesicles and matched mononuclear cells and profiled for 420 known mature miRNAs by real-time PCR. Hierarchical clustering of the data sets indicated significant differences in miRNA expression between peripheral blood mononuclear cells (PBMC) and plasma microvesicles. We observed 71 miRNAs co-expressed between microvesicles and PBMC. Notably, we found 33 and 4 significantly differentially expressed miRNAs in the plasma microvesicles and mononuclear cells, respectively. Prediction of the gene targets and associated biological pathways regulated by the detected miRNAs was performed. The majority of the miRNAs expressed in the microvesicles from the blood were predicted to regulate cellular differentiation of blood cells and metabolic pathways. Interestingly, a select few miRNAs were also predicted to be important modulators of immune function.This study is the first to identify and define miRNA expression in circulating plasma microvesicles of normal subjects. The data generated from this study provides a basis for future studies to determine the predictive role of peripheral blood miRNA signatures in human disease and will enable the definition of the biological processes regulated by these miRNA

Thatcherism, Crime and the Legacy of the Social and Economic ‘Storms’ of the 1980s

Using insights from the classical sociology of deviance and social structure (notably Durkheim and Merton) we explore the enduring impact of the social and economic changes which started in the UK in the early 1980s. In the two subsequent decades the UK went through a period of radical economic restructuring, leading to lasting social change. We seek the gauge the effect of these combined social and economic processes, which we label social and economic ‘storms’, at the national level. In so doing we assess and ultimately defend the heuristic utility of this conceptualisation, considering the extent to which such social and economic storms (individually and collectively) weakened bonds between individuals, within and between families and across communities. We use proxy measures of economic and social changes in combination with recorded crime statistics to explore the degree to which such processes might be associated with victimisation rates. We find that crime was related to these macro-level ‘storms’, although ultimately they were driven by economic variables. Our analyses show how political decision-making can shape long-term trends in crime rates

An estimator of examinee-level measurement error variance that considers test form difficulty adjustments

A model and estimator for examinee-level measurement error variance are developed. Although the binomial distribution is basic to the modeling, the proposed error model provides some insights into problems associated with simple binomial error, and yields estimates of error that are quite distinct from binomial error. By taking into consideration test form difficulty adjustments often used in standardized tests, the model is linked also to indices designed for identifying unusual item response patterns. In addition, average error variance under the model is approximately that which would be obtained through a KR-20 estimate of reliability, thus providing a unique justification for this popular index. Empirical results using odd-even and alternate-forms measures of error variance tend to favor the proposed model over the binomial.Jarjoura, David. (1986). An estimator of examinee-level measurement error variance that considers test form difficulty adjustments. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/102297

A variance components model for measurement procedures associated with a table of specifications

Although many tests are developed according to a table of specifications, the literature contains little guidance to measurement specialists for considering the measurement properties of tests developed in this manner. Rather, most of the literature makes the simplistic assumption that the entire set of items are drawn from (or represent) a common undifferentiated domain or universe. This paper presents a variance components model for many measurement procedures that are associated with a table of specifications. In addition, simple procedures are provided for estimating the model parameters (variance components and category means) and functions of them (e.g., composite universe score variance and error variances)