A Within-Person Examination of Alcohol Involved and Non-Alcohol Involved Internal and External Sexual Consent Communication.

OBJECTIVE: External consent communication and internal consent feelings may be influenced by alcohol consumption. However, whether the way someone communicates sexual consent differs when alcohol is or is not involved is not well understood. The goal of this study was to assess the within and between person effects of alcohol use, gender, and sexual identity on internal and external consent. METHOD: Young adults (n = 375) completed a 10-minute web administered survey about their internal and external consent in a recent alcohol and non-alcohol involved sexual encounter. External consent included five different behaviors to communicate consent. We conducted a repeated measures ANOVA to assess the within and between person effects of alcohol use, gender, and sexual identity on internal and external consent. RESULTS: Internal consent did not differ across sexual experiences or identities. In alcohol involved encounters, there was a decreased use of implicit communication. Heterosexual women used more verbal communication during alcohol encounters than sober encounters. Compared with men, women used more nonverbal and implicit communication across encounters. DISCUSSION: Alcohol use did not influence internal consent and was associated with a reduced use of implicit communication. The disinhibiting effects of alcohol may lead people to feeling more confident and open about expressing their sexual desires. Affirmative consent initiatives can use findings to encourage more clear communication and continue to educate on gender differences in sexual consent.

Identification of a novel 5-methylcytosine-related signature for prognostic prediction of kidney renal papillary cell carcinoma and a Putative target for drug repurposing.

BACKGROUND: Many studies have demonstrated the crucial roles of 5-methylcytosine (m5C) RNA methylation in cancer pathogenesis. METHODS: Two datasets, including TCGA-KIRP and ICGC, and related clinical information were downloaded, where the expression of 13 m5C regulators was examined. We applied LASSO regression to construct a multi-m5C-regulator-based signature in the TCGA cohort, which was further validated using the ICGC cohort. Univariate and multivariate Cox regressions were applied to evaluate the independent prognostic value of our model. The differences in biological functions and immune characterizations between high and low-risk groups divided based on the risk scores were also investigated via multiple approaches, such as enrichment analyses, mutation mining, and immune scoring. Finally, the sensitivities of commonly used targeted drugs were tested, and the connectivity MAP (cMAP) was utilized to screen potentially effective molecules for patients in the high-risk group. Experimental validation was done following qPCR tests in Caki-2 and HK-2 cell lines. RESULTS: 3 m5C regulators, including ALYREF, DNMT3B and YBX1, were involved in our model. Survival analysis revealed a worse prognosis for patients in the high-risk group. Cox regression results indicated our model's superior predictive performance compared to single-factor prognostic evaluation. Functional enrichment analyses indicated a higher mutation frequency and poorer tumor microenvironment of patients in the high-risk group. qPCR-based results revealed that ALYREF, DNMT3B, and YBX1 were significantly up-regulated in Caki-2 cell lines compared with HK-2 cell lines. Molecules like BRD-K72451865, Levosimendan, and BRD-K03515135 were advised by cMAP for patients in the high-risk group. CONCLUSION: Our study presented a novel predictive model for KIRP prognosis. Furthermore, the results of our analysis provide new insights for investigating m5C events in KIRP pathogenesis.

Covariate inclusion in factor mixture modeling: Evaluating one-step and three-step approaches under model misspecification and overfitting.

Factor mixture modeling (FMM) has been increasingly used in behavioral and social sciences to examine unobserved population heterogeneity. Covariates (e.g., gender, race) are often included in FMM to help understand the formation and characterization of latent subgroups or classes. This Monte Carlo simulation study evaluated the performance of one-step and three-step approaches to covariate inclusion across three scenarios, i.e., correct specification (study 1), model misspecification (study 2), and model overfitting (study 3), in terms of direct covariate effects on factors. Results showed that the performance of these two approaches was comparable when class separation was large and the specification of covariate effect was correct. However, one-step FMM had better class enumeration than the three-step approach when class separation was poor, and was more robust to the misspecification or overfitting concerning direct covariate effects. Recommendations regarding covariate inclusion approaches are provided herein depending on class separation and sample size. Large sample size (1000 or more) and the use of sample size-adjusted BIC (saBIC) in class enumeration are recommended.

Examining the Impact of and Sensitivity of Fit Indices to Omitting Covariates Interaction Effect in Multilevel Multiple-Indicator Multiple-Cause Models.

This study examined the impact of omitting covariates interaction effect on parameter estimates in multilevel multiple-indicator multiple-cause models as well as the sensitivity of fit indices to model misspecification when the between-level, within-level, or cross-level interaction effect was left out in the models. The parameter estimates produced in the correct and the misspecified models were compared under varying conditions of cluster number, cluster size, intraclass correlation, and the magnitude of the interaction effect in the population model. Results showed that the two main effects were overestimated by approximately half of the size of the interaction effect, and the between-level factor mean was underestimated. None of comparative fit index, Tucker-Lewis index, root mean square error of approximation, and standardized root mean square residual was sensitive to the omission of the interaction effect. The sensitivity of information criteria varied depending majorly on the magnitude of the omitted interaction, as well as the location of the interaction (i.e., at the between level, within level, or cross level). Implications and recommendations based on the findings were discussed.

Examining Whether the Social Cognitive Theory Concepts Predict Childhood Obesity Prevention Outcome Expectations.

The social cognitive theory (SCT) has been used to explain and promote childhood obesity prevention behaviors. We examined whether the SCT concepts predicted outcome expectations of childhood obesity among the children of African American caregivers. Caregivers (n = 128) completed the childhood obesity perceptions paper-based survey. A multiple linear regression was conducted to determine the direct effects of moral disengagement, environment, self-efficacy, and behavioral capability on outcome expectations (p < .05). A mediation analysis using a bootstrapping bias correction method was used to test whether self-efficacy and behavioral capability mediated the effect of moral disengagement and environment on outcome expectations. Caregivers reported high levels of moral disengagement (M = 4.13; standard deviation [SD] = 0.70) and self-efficacy (M = 4.26; SD = 0.64) and moderate levels of behavioral capability (M = 2.83; SD = 0.75) and environment (M = 2.92; SD = 0.74). Findings indicated the hypothesized relationships in the SCT were not fully supported. In addition, the indirect effects of environment on outcome expectations were not statistically significantly mediated by behavioral capability. This research warrants more attention in testing the SCT concepts for the development of childhood obesity prevention efforts that prioritize African American families in rural communities.

Efficacy and Safety of Chinese Herbal Formula Granules in Treating Chronic Kidney Disease Stage 3: A Multicenter, Randomized, Placebo-Controlled, Double-Blind Clinical Trial.

BACKGROUND: It is generally considered that traditional Chinese medicine (TCM) therapy postpones the progression of some chronic kidney diseases (CKDs). Chinese medicine herbs are widely applied in TCM therapy. We aimed to evaluate clinical efficacy and safety of Chinese herbal formula granules in patients with CKD stage 3 through a prospective randomized controlled study. METHODS: A total of 343 participants with CKD stage 3 were recruited from 9 hospitals in Jiangsu Province between April 2014 and October 2016. Participants were randomly assigned to a treatment or control group. Patients in the treatment group orally took Chinese herbal formula granules twice a day, while controls received placebo granules. The duration of intervention was 24 weeks. Primary outcomes were 24-hour proteinuria, serum creatinine, and eGFR, which were measured every 4 weeks. RESULTS: There was no statistical difference in 24-hour proteinuria between the two groups (0.97 ± 1.14 g/d vs. 0.97 ± 1.25 g/d). Patients in the treatment group had significantly lower serum creatinine level (130.78 ± 32.55 µmol/L versus 149.12 ± 41.27 µmol/L) and significantly higher eGFR level (55.74 ± 50.82 ml/min/1.73·m2 versus 44.46 ± 12.60 ml/min/1.73·m2) than those in the control group (P < 0.05). There was no significant difference between two groups in the incidence of adverse events. CONCLUSION: The treatment adopting Chinese herbal formula granules for 24 weeks improved kidney function of patients with CKD stage 3.

Pro- and Anti-oxidant Properties of Redox-Active Catechol-Chitosan Films.

Catechols are abundant in nature and are believed to perform diverse biological functions that include photoprotection (e.g., melanins), molecular signaling (e.g., catecholamine neurotransmitters), and mechanical adhesion (e.g., mussel glue). Currently, the structure-property-function relationships for catechols remain poorly resolved, and this is especially true for redox-based properties (e.g., antioxidant, pro-oxidant, and radical scavenging activities). Importantly, there are few characterization methods available to probe the redox properties of materials. In this review, we focus on recent studies with redox-active catechol-chitosan films. First, we describe film fabrication methods to oxidatively-graft catechols to chitosan through chemical, enzymatic, or electrochemical methods. Second, we discuss a new experimental characterization method to probe the redox properties of catechol-functionalized materials. This mediated electrochemical probing (MEP) method probes the redox-activities of catechol-chitosan films by: (i) employing diffusible mediators to shuttle electrons between the electrode and grafted catechols; (ii) imposing tailored sequences of input voltages to "tune" redox probing; and (iii) analyzing the output current response characteristics to infer properties. Finally, we demonstrate that the redox properties of catechol-chitosan films enable them to perform antioxidant radical scavenging functions, as well as a pro-oxidant (reactive oxygen-generation) antimicrobial functions. In summary, our increasing knowledge of catechol-chitosan films is enabling us to better-understand the functions of catechols in biology as well as enhancing our capabilities to create advanced functional materials.

Characterization of the mitochondrial genome of Megalobrama terminalis in the Heilong River and a clearer phylogeny of the genus Megalobrama.

Megalobrama terminalis distributed in Sino-Russian Heilong-Amur River basin has decreased dramatically in the last few decades. It has been listed in the Red Book of the Russian Federation as an endangered fish species. Here, the complete mitochondrial (mt) genome sequence of M. terminalis in the Heilong River (MTH) was first determined and characterized. Additionally, we identified a population-specific single nucleotide polymorphism (SNP) locus in MTH which could effectively separate MTH from the six other populations of the genus Megalobrama in the absence of hybridization. Moreover, phylogenetic analyses determined that the Xi River M. hoffmanni is located at the basal branch of the clade, and the rest of the group is divided into two assemblages, namely, one containing M. terminalis from Qiantang River and Jinsha River Reservoir/Longxi River M. Pellegrini/MTH and the other containing M. amblycephala from Liangzi Lake and Yi River. We clarify the intraspecies identity of MTH and construct a clearer phylogeny of the genus Megalobrama, which will contribute to the germplasm identification, protection and development of MTH in the future.

Exploring the Test of Covariate Moderation Effects in Multilevel MIMIC Models.

In multilevel multiple-indicator multiple-cause (MIMIC) models, covariates can interact at the within level, at the between level, or across levels. This study examines the performance of multilevel MIMIC models in estimating and detecting the interaction effect of two covariates through a simulation and provides an empirical demonstration of modeling the interaction in multilevel MIMIC models. The design factors include the location of the interaction effect (i.e., between, within, or across levels), cluster number, cluster size, intraclass correlation (ICC) level, magnitude of the interaction effect, and cross-level measurement invariance status. Type I error, power, relative bias, and root mean square of error of the interaction effects are examined. The results showed that multilevel MIMIC models performed well in detecting the interaction effect at the within or across levels. However, when the interaction effect was at the between level, the performance of multilevel MIMIC models depended on the magnitude of the interaction effect, ICC, and sample size, especially cluster number. Overall, cross-level measurement noninvariance did not make a notable impact on the estimation of interaction in the structural part of multilevel MIMIC models when factor loadings were allowed to be different across levels.

Percutaneous renal artery stent implantation in the treatment of atherosclerotic renal artery stenosis.

We aimed to investigate the clinical curative effect of percutaneous renal artery stent implantation (PTRAS) in the treatment of atherosclerotic renal artery stenosis (ARAS), and to analyze the factors influencing the curative effect of PTRAS. A total of 230 patients with unilateral or bilateral renal artery stenosis were retrospectively analyzed. According to whether adverse cardiogenic or nephrogenic events occurred, 230 patients were divided into two groups to analyze the risk factors of adverse cardiogenic or nephrogenic events. The blood pressure of patients at each time-point after operation was decreased significantly compared with that before operation (P<0.01). The levels of serum creatinine (SCr) at 24 h and 36 months after PTRAS were slightly increased compared with that before operation (P>0.05). The estimated glomerular filtration rate (eGFR) at each time-point after operation was slightly decreased compared with that before operation, but the difference was not statistically significant (P>0.05). Renography showed that GFR on the side of stent implantation at 36 months after PTRAS had no significant change compared with that before operation (P>0.05), but GFR on the unaffected side without receiving PTRAS was significantly increased compared with that before operation (P=0.0014). During the 36-month follow-up, there were a total of 56 cases of adverse cardiogenic or nephrogenic events. Multivariate regression analysis results showed that adverse cardiogenic or nephrogenic events after PTRAS were obviously associated with age (≥65 years old), Charlson comorbidity index (CCI) score (≥2 points), diabetes mellitus, stroke and congestive heart failure (CHF) (P<0.05). In conclusion, PTRAS can effectively control the blood pressure and reduce the types of antihypertensive drugs used by patients with ARAS, but it has no definitely protective effect on renal function. Age (≥65 years old), CCI score (≥2 points), diabetes mellitus, stroke and CHF are risk factors leading to adverse cardiogenic or nephrogenic events after PTRAS.

Radical Scavenging Activities of Biomimetic Catechol-Chitosan Films.

Recent studies showed that melanin-mimetic catechol-chitosan films are redox-active and their ability to exchange electrons confers pro-oxidant activities for the sustained, in situ generation of reactive oxygen species for antimicrobial bandages. Here we electrofabricated catechol-chitosan films, demonstrate these films are redox-active, and show their ability to exchange electrons confers sustained radical scavenging activities that could be useful for protective coatings. Electrofabrication was performed in two steps: cathodic electrodeposition of a chitosan film followed by anodic grafting of catechol to chitosan. Spectroelectrochemical reverse engineering methods were used to characterize the catechol-chitosan films and demonstrate the films are redox-active and can donate electrons to quench oxidative free radicals and can accept electrons to quench reductive free radicals. Electrofabricated catechol-chitosan films that were peeled from the electrode were also shown to be capable of donating electrons to quench an oxidative free radical, but this radical scavenging activity decayed upon depletion of electrons from the film (i.e., as the film became oxidized). However, the radical scavenging activity could be recovered by a regeneration step in which the films were contacted with the biological reducing agent ascorbic acid. These results demonstrate that catecholic materials offer important redox-based and context-dependent properties for possible applications as protective coatings.

Assessing Child Body Mass Index Perceptions Among African American Caregivers in a Rural Community.

In the USA, African American children residing in rural areas are disproportionately affected by childhood obesity. One strategy for preventing childhood obesity is helping caregivers to recognize their child is overweight or obese. The purpose of this study is to assess African American caregivers' perceived level of their child's obesity status and concordance between caregiver's reported height and weight of their children compared to the objective measure of their child's height and weight. Caregivers completed a paper-based survey about perceptions of their child's weight status including body silhouettes (n = 119) and self-reported their child's body mass index status (n = 68). Children's (n = 71) height and weight were objectively measured. Spearman rho and independent sample t tests were calculated to assess the relationship between caregiver's self-reported and objective BMI status. Caregiver's visually perceived their child's weight status to be underweight; yet, self-reported that their child's body mass index status was obese. The Spearman's rho correlation indicated a significant relationship between caregiver's self-reported and objective body mass index (r = .39, p < .001). The independent sample t test reflected that the mean self-reported body mass index and objective body mass index were statistically significant with calculated body mass index perception. The investigation of three different methods for assessing body mass index perceptions may contribute to the development of tailored programs and interventions that include counseling strategies that increase parental education about their child's body mass index.

Do Maternal Caregiver Perceptions of Childhood Obesity Risk Factors and Obesity Complications Predict Support for Prevention Initiatives Among African Americans?

Objectives African American maternal caregiver support for prevention of childhood obesity may be a factor in implementing, monitoring, and sustaining children's positive health behaviors. However, little is known about how perceptions of childhood obesity risk factors and health complications influence caregivers' support of childhood obesity prevention strategies. The objective of this study was to determine if childhood obesity risk factors and health complications were associated with maternal caregivers' support for prevention initiatives. Methods A convenience sample of maternal caregivers (N = 129, ages 22-65 years) completed the childhood obesity perceptions (COP) survey. A linear regression was conducted to determine whether perceptions about childhood obesity risk factors and subsequent health complications influenced caregivers' support for prevention strategies. Results Caregivers' perceptions of childhood obesity risk factors were moderate (M = 3.4; SD = 0.64), as were their perceptions of obesity-related health complications (M = 3.3; SD = 0.75); however, they perceived a high level of support for prevention strategies (M = 4.2; SD = 0.74). In the regression model, only health complications were significantly associated with caregiver support (ß = 0.348; p < 0.004). Conclusions Childhood obesity prevention efforts should emphasize health complications by providing education and strategies that promote self-efficacy and outcome expectations among maternal caregivers.

Maxillary sinus floor elevation with a tissue-engineered bone composite of deciduous tooth stem cells and calcium phosphate cement in goats.

The study aimed to assess the effect of maxillary sinus floor elevation with tissue-engineered bone constructed from deciduous tooth stem cells (DTSCs) and calcium phosphate cement (CPC). The stem cells from goat deciduous teeth (SGDs) were isolated and transfected by means of the adenovirus with an enhanced green fluorescent protein gene (AdEGFP). As many as 18 bilateral maxillary sinuses of nine goats were randomly allocated into three groups (n = 6/group): group A (SGDs-CPC compound), group B (CPC alone) and group C (autogenous bone obtained from an iliac crest). All the samples were evaluated by computed tomography (CT), histology and histomorphometric analysis. Furthermore, the fate of implanted SGDs was traced using an immunohistochemical staining method in the decalcified samples. SGDs might be differentiated into osteoblasts in an osteogenic medium. In the present study, three-dimensional CT analysis showed that the volume of newly formed bone in group A was greater than that in the other two groups. After a healing period of 3 months, sequential analyses of triad-colour fluorescence labelling, histology and histomorphology indicated that the SGDs-CPC compound primarily promoted bone formation and mineralization at 2 and 3 months after the operation. Moreover, the areas of new bone formation in elevated sinuses were 41.82 ± 6.24% in the SGDs-CPC group, which was significantly higher than the 30.11 ± 8.05% in the CPC-alone group or the 23.07 ± 10.21% in the autogenous bone group. Immunohistochemical staining revealed that GFP and OCN were both expressed in the new bone tissue for the samples with eGFP, which suggested that the implanted SGDs might have contributed to new bone formation on the elevated sinus floor. SGDs can promote new bone formation and maturation in the goat maxillary sinus, and the tissue-engineered bone composite of SGDs and CPC might be a potential substitute for existing maxillary sinus floor elevation methods. Copyright © 2014 John Wiley & Sons, Ltd.

Multilevel Factor Analysis: Reporting Guidelines and a Review of Reporting Practices.

We provide reporting guidelines for multilevel factor analysis (MFA) and use these guidelines to systematically review 72 MFA applications in journals across a range of disciplines (e.g., education, health/nursing, management, and psychology) published between 1994 and 2014. Results are organized in terms of the (a) characteristics of the MFA application (e.g., construct measured), (b) purpose (e.g., measurement validation), (c) data source (e.g., number of cases at Level 1 and Level 2), (d) statistical approach (e.g., maximum likelihood), and (e) results reported (e.g., intraclass correlations for indicators and latent variables, standardized factor loadings, fit indices). Results from this review have implications for applied researchers interested in expanding their approaches to psychometric analyses and construct validation within a multilevel framework and for methodologists using Monte Carlo methods to explore technical and methodological issues grounded in realistic research design conditions.

Development and psychometric testing of the childhood obesity perceptions (COP) survey among African American caregivers: A tool for obesity prevention program planning.

Currently, public health practitioners are analyzing the role that caregivers play in childhood obesity efforts. Assessing African American caregiver's perceptions of childhood obesity in rural communities is an important prevention effort. This article's objective is to describe the development and psychometric testing of a survey tool to assess childhood obesity perceptions among African American caregivers in a rural setting, which can be used for obesity prevention program development or evaluation. The Childhood Obesity Perceptions (COP) survey was developed to reflect the multidimensional nature of childhood obesity including risk factors, health complications, weight status, built environment, and obesity prevention strategies. A 97-item survey was pretested and piloted with the priority population. After pretesting and piloting, the survey was reduced to 59-items and administered to 135 African American caregivers. An exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) was conducted to test how well the survey items represented the number of Social Cognitive Theory constructs. Twenty items were removed from the original 59-item survey and acceptable internal consistency of the six factors (α=0.70-0.85) was documented for all scales in the final COP instrument. CFA resulted in a less than adequate fit; however, a multivariate Lagrange multiplier test identified modifications to improve the model fit. The COP survey represents a promising approach as a potentially comprehensive assessment for implementation or evaluation of childhood obesity programs.

Plasma metabonomics study of first-Episode schizophrenia treated with olanzapine in female patients.

Schizophrenia is a persistent chronic mental illness with an unknown pathogenic mechanism; no empirical laboratory-based tests are available to support the diagnosis of schizophrenia or to identify biomarkers correlated with the therapeutic effect of olanzapine. For this study, 15 female first-episode, drug-naïve patients with schizophrenia and 15 healthy female volunteers were recruited. Tests for blood glucose and lipids were conducted at baseline and after 4 weeks of treatment with olanzapine. UPLC-MS based metabonomic analysis was performed on both case and control groups to identify biomarkers of schizophrenia at baseline and to explore which biomarkers correlated with the therapeutic effect of olanzapine after a 4-week treatment. Compared with the control group, the case group showed significant changes in plasma metabolites. Thirteen distinct metabolites were identified. Among all the therapeutically effective cases, levels of these metabolites appeared to shift towards the normal trend; 8 of the identified 13 metabolites changed dramatically. The metabolites that we found are potential biomarkers for the diagnosis and treatment of schizophrenia.

Bioinformatics Analysis of the Effects of Tobacco Smoke on Gene Expression.

This study was designed to explore the effects of tobacco smoke on gene expression through bioinformatics analyses. Gene expression profile GSE17913 was downloaded from the Gene Expression Omnibus database. The differentially expressed genes (DEGs) in buccal mucosa tissues between 39 active smokers and 40 never smokers were identified. Gene Ontology Specifically, the DEG distribution in the pathway of Metabolism of xenobiotics by cytochrome P450 was shown in Fig 2[corrected] were performed, followed by protein-protein interaction (PPI) network, transcriptional regulatory network as well as miRNA-target regulatory network construction. In total, 88 up-regulated DEGs and 106 down-regulated DEGs were identified. Among these DEGs, cytochrome P450, family 1, subfamily A, polypeptide 1 (CYP1A1) and CYP1B1 were enriched in the Metabolism of xenobiotics by cytochrome P450 pathway. In the PPI network, tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein, zeta (YWHAZ), and CYP1A1 were hub genes. In the transcriptional regulatory network, transcription factors of MYC associated factor X (MAX) and upstream transcription factor 1 (USF1) regulated many overlapped DEGs. In addition, protein tyrosine phosphatase, receptor type, D (PTPRD) was regulated by multiple miRNAs in the miRNA-DEG regulatory network. CYP1A1, CYP1B1, YWHAZ and PTPRD, and TF of MAX and USF1 may have the potential to be used as biomarkers and therapeutic targets in tobacco smoke-related pathological changes.

Testing Group Mean Differences of Latent Variables in Multilevel Data Using Multiple-Group Multilevel CFA and Multilevel MIMIC Modeling.

Considering that group comparisons are common in social science, we examined two latent group mean testing methods when groups of interest were either at the between or within level of multilevel data: multiple-group multilevel confirmatory factor analysis (MG ML CFA) and multilevel multiple-indicators multiple-causes modeling (ML MIMIC). The performance of these methods were investigated through three Monte Carlo studies. In Studies 1 and 2, either factor variances or residual variances were manipulated to be heterogeneous between groups. In Study 3, which focused on within-level multiple-group analysis, six different model specifications were considered depending on how to model the intra-class group correlation (i.e., correlation between random effect factors for groups within cluster). The results of simulations generally supported the adequacy of MG ML CFA and ML MIMIC for multiple-group analysis with multilevel data. The two methods did not show any notable difference in the latent group mean testing across three studies. Finally, a demonstration with real data and guidelines in selecting an appropriate approach to multilevel multiple-group analysis are provided.