Pornography Use and Intimate Partner Violence Among a Sample of U.S. Army Soldiers in 2018: A Cross-Sectional Study.

The objective of the present study was to determine whether there is an association between pornography use and reported intimate partner violence (IPV) perpetration among a sample of soldiers in the US Army. The study was a secondary analysis of cross-sectional data collected from soldiers at a military installation in 2018 (n = 9,052). IPV was defined as any self-reported perpetration of physical, sexual, or psychological abuse of an intimate partner. Multivariable negative binomial regressions were used to assess the association between pornography use and any lifetime perpetration of IPV, controlling for gender, age group, race/ethnicity, relationship status, educational status, military rank, hazardous drinking, depression, stimulant use, depressant use, and post-traumatic stress disorder. Of the population analyzed, 41% of soldiers reported any pornography use per week, and 9.6% reported perpetrating any form of IPV. Soldiers who reported pornography use had between a 1.72- and 3.56-fold greater likelihood of reporting any lifetime perpetration of IPV, controlling for covariates. Given the prevalence and detrimental effects of IPV, longitudinal studies should be designed to further understand predictors of IPV in military populations.

A Cross-Sectional Examination of the Association Between Social Media Use and Sleep Among a Sample of U.S. Army Soldiers.

INTRODUCTION: In the United States (U.S.), approximately 35% of adults sleep less than 7 hours per night. The relationship between social media use and insufficient sleep has not thoroughly been examined among adults. The purpose of this study was to determine if social media use is associated with insufficient sleep among a sample of U.S. Army Soldiers. METHODS: This study surveyed 9,052 U.S. Soldiers in 2018 via a self-administered online questionnaire. Using multivariable logistic regression, we examined the association between social media use (<38 hours vs. ≥38 hours per week) and insufficient sleep, controlling for demographic and behavioral covariates. RESULTS: Overall, 54.9% of Soldiers reported insufficient sleep. There was no significant relationship between excessive social media use and insufficient sleep in the multivariable logistic regression (OR: 1.03; CI: 0.87-1.23). The covariates of sex, race/ethnicity, rank, hazardous alcohol consumption, anxiety, and depression were significantly associated with insufficient sleep. Soldiers who reported symptoms of anxiety were more than twice as likely (OR: 2.11; CI: 1.65-2.70) to report insufficient sleep than Soldiers without signs of anxiety. Additionally, Soldiers who reported depressive symptoms were 85% (OR: 1.85; CI: 1.44-2.37) more likely to experience insufficient sleep than Soldiers without signs of depression. CONCLUSION: Sufficient sleep is essential to ensuring mission readiness and preventing accidental morbidity and mortality among Soldiers. The findings of this analysis do not suggest a link between extended social media use and insufficient sleep. However, though previously uninvestigated, Soldiers reporting symptoms of anxiety and depression were more likely to experience insufficient sleep compared to unafflicted Soldiers. Therefore developing a culture that encourages Soldiers to seek necessary behavioral health screening and care could be a key primary strategy to promote adequate sleep.

Functional and evolutionary significance of human microRNA seed region mutations.

MicroRNAs have emerged in recent years as important regulators of cell function in both normal and diseased cells. MiRNAs coordinately regulate large suites of target genes by mRNA degradation and/or translational inhibition. The mRNA target specificities of miRNAs in animals are primarily encoded within a 7 nt "seed region" mapping to positions 2-8 at the molecule's 5' end. We here combine computational analyses with experimental studies to explore the functional significance of sequence variation within the seed region of human miRNAs. The results indicate that a substitution of even a single nucleotide within the seed region changes the spectrum of mRNA targets by >50%. The high functional cost of even single nucleotide changes within seed regions is consistent with their high sequence conservation among miRNA families both within and between species and suggests processes that may underlie the evolution of miRNA regulatory control.

Transcriptional override: a regulatory network model of indirect responses to modulations in microRNA expression.

BACKGROUND: Documented changes in levels of microRNAs (miRNA) in a variety of diseases including cancer are leading to their development as early indicators of disease, and as a potential new class of therapeutic agents. A significant hurdle to the rational application of miRNAs as therapeutics is our current inability to reliably predict the range of molecular and cellular consequences of perturbations in the levels of specific miRNAs on targeted cells. While the direct gene (mRNA) targets of individual miRNAs can be computationally predicted with reasonable degrees of accuracy, reliable predictions of the indirect molecular effects of perturbations in miRNA levels remain a major challenge in molecular systems biology. RESULTS: Changes in gene (mRNA) and miRNA expression levels between normal precursor and ovarian cancer cells isolated from patient tissue samples were measured by microarray. Expression of 31 miRNAs was significantly elevated in the cancer samples. Consistent with previous reports, the expected decrease in expression of the mRNA targets of upregulated miRNAs was observed in only 20-30% of the cancer samples. We present and provide experimental support for a network model (The Transcriptional Override Model; TOM) to account for the unexpected regulatory consequences of modulations in the expression of miRNAs on expression levels of their target mRNAs in ovarian cancer. CONCLUSIONS: The direct and indirect regulatory effects of changes in miRNA expression levels in vivo are interactive and complex but amenable to systems level modeling. Although TOM has been developed and validated within the context of ovarian cancer, it may be applicable in other biological contexts as well, including of potential future use in the rational design of miRNA-based strategies for the treatment of cancers and other diseases.

The effects of MicroRNA transfections on global patterns of gene expression in ovarian cancer cells are functionally coordinated.

BACKGROUND: MicroRNAs (miRNAs) are a class of small RNAs that have been linked to a number of diseases including cancer. The potential application of miRNAs in the diagnostics and therapeutics of ovarian and other cancers is an area of intense interest. A current challenge is the inability to accurately predict the functional consequences of exogenous modulations in the levels of potentially therapeutic miRNAs. METHODS: In an initial effort to systematically address this issue, we conducted miRNA transfection experiments using two miRNAs (miR-7, miR-128). We monitored the consequent changes in global patterns of gene expression by microarray and quantitative (real-time) polymerase chain reaction. Network analysis of the expression data was used to predict the consequence of each transfection on cellular function and these predictions were experimentally tested. RESULTS: While ~20% of the changes in expression patterns of hundreds to thousands of genes could be attributed to direct miRNA-mRNA interactions, the majority of the changes are indirect, involving the downstream consequences of miRNA-mediated changes in regulatory gene expression. The changes in gene expression induced by individual miRNAs are functionally coordinated but distinct between the two miRNAs. MiR-7 transfection into ovarian cancer cells induces changes in cell adhesion and other developmental networks previously associated with epithelial-mesenchymal transitions (EMT) and other processes linked with metastasis. In contrast, miR-128 transfection induces changes in cell cycle control and other processes commonly linked with cellular replication. CONCLUSIONS: The functionally coordinated patterns of gene expression displayed by different families of miRNAs have the potential to provide clinicians with a strategy to treat cancers from a systems rather than a single gene perspective.

Overexpression of miR-429 induces mesenchymal-to-epithelial transition (MET) in metastatic ovarian cancer cells.

OBJECTIVE: Ovarian cancer (OC) is the most lethal of all gynecological malignancies primarily due to the sloughing-off of highly metastatic cells from primary tumors and their subsequent spread throughout the peritoneal cavity. Since the epithelial-to-mesenchymal transition (EMT) of OC cells located at the periphery of primary tumors is essential to this process, molecular interventions that can block EMT are of potential clinical significance. Members of the miR200 family of microRNAs have been implicated in EMT in other cancers. Our purpose was to determine if miR200 family microRNAs may be involved in EMT in OC and of potential therapeutic value in reducing OC metastasis. METHODS: Gene expression profiles of two OC cell lines with different metastatic potentials were monitored using qRT-PCR (quantitative reverse transcription polymerase chain reaction). The effect of over-expression of a miR-200 family microRNA (miR-429) in metastatic OC cells was monitored on molecular (qRT-PCR and microarray) and functional (morphology, migration, invasiveness and anchorage independence assays) levels. RESULTS: Molecular profiling of two OC cell lines with differing metastatic potentials identified significant differences in previously established epithelial and mesenchymal cell biomarkers including E-cadherin, ZEB1, ZEB2, miR-205 and miR-200 family microRNAs. Ectopic overexpression of miR-429, a member of the miR-200 family of microRNAs, in mesenchymal-like OC cells resulted in reversal of the mesenchymal phenotype (mesenchymal-epithelial transition, MET). CONCLUSIONS: Our results indicate that miR-429 may not only be a useful biomarker of EMT in ovarian cancer, but also of potential therapeutic value in abating OC metastasis.