Systematic review and data synthesis on the treatment of sexual violence victimization by an intimate partner.

This study aims to conduct a systematic review and synthesis on the treatment of sexual violence victimization by an intimate partner evaluating specifically the impact of treatment on mental health outcomes of female sexual intimate partner violence (IPV) survivors. We followed the Cochrane Handbook for Systemic Reviews of Interventions guidelines for the process of conducting systematic reviews. We were unable to conduct meta-analyses due to the substantial heterogeneity of the interventions for IPV. A qualitative summary of 6 controlled studies identified no benefit to the treatment of sexual coercion, posttraumatic stress disorder, depression, or anxiety for female sexual IPV survivors. However, we are limited by a paucity of data for each outcome on this subject. In conclusion, sexual coercion is a complex issue that has adverse effects on mental health and the well-being of the survivors. More research is needed that investigates what kind of interventions are effective for this specific population.

Systematic Investigation of Meta-Analysis Data on Treatment Effectiveness for Physical, Psychological, and Sexual Intimate Partner Violence Perpetration.

Intimate partner violence can lead to physical, economical, mental, and sexual well-being issues, and even death, and it is most commonly experienced by women. There exist a number of treatment models for the prevention and treatment of intimate partner violence (IPV). In this study, we provided a comprehensive meta-regression analysis of the effectiveness of batterer treatment programs, with a view to characterizing the interplay between different forms of IPV (physical, psychological, and sexual). Using meta-regression, we explore the effect sizes and whether IPV treatment methods have distinct impacts on the outcomes. We use the difference normalized by pretreatment mean and variance foldchange to uncover the relationship between different violence subtypes and how they drive each other. Specifically, our study found that studies with more pre-treatment psychological and/or sexual violence, lead to less favorable outcomes while the studies that start with more physical violence are able to demonstrate their effects more effectively. Results of this study can be used to help the clinician effectively select the treatment for the perpetrator based on the violence type and severity of violence in order to more effectively treat the needs for each specific relationship.

La violencia de pareja puede llegar a afectar al bienestar físico, económico, mental y sexual e incluso llevar a la muerte, siendo experimentada con más frecuencia por las mujeres. Hay diversos modelos de prevención y tratamiento de la violencia de pareja (VP). En este estudio se lleva a cabo un análisis global de meta-regresión de la eficacia de los programas de tratamiento para maltratadores centrado en caracterizar la interacción entre diferentes formas de VP (física, psicológica y sexual). Mediante meta-regresión se explora el tamaño del efecto y si los distintos métodos de tratamiento de la VP influyen de modo distinto en los resultados. Se utiliza la diferencia normalizada por la media y la reducción de la heterogeneidad (varianza) del pretratamiento para analizar la relación entre los distintos tipos de violencia y cómo se influyen mutuamente. En concreto en este trabajo encontramos que los estudios con más violencia psicológica y/o sexual en el pretratamiento tienen resultados menos favorables, mientras que los que comienzan con más violencia física pueden demostrar sus efectos de un modo más eficaz. Los resultados de este estudio pueden ser de ayuda para que el profesional seleccione de modo más eficaz el tratamiento para el agresor teniendo en cuenta el tipo de violencia y su gravedad, con el fin de tratar de forma más adecuada las necesidades de cada relación específica.

Characterizing Disparities in the Treatment of Intimate Partner Violence.

Exposure to Intimate Partner Violence (IPV) has lasting adverse effects on the physical, behavioral, cognitive, and emotional health of survivors. To this end, it is critical to understand the effectiveness of IPV treatment strategies in reducing IPV and its debilitating effects. Meta-analyses designed to comprehensively describe the effectiveness of treatments offer unique advantages. However, the heterogeneity within and between studies poses challenges in interpreting findings. Meta-analyses are therefore unlikely to identify the factors that underlie disparities in treatment efficacy. To characterize the effect of demographic and social factors on treatment effectiveness, we develop a comprehensive computational and statistical framework that uses Meta-regression to characterize the effect of demographic and social variables on treatment outcomes. The innovations in our methodology include (i) standardization of outcome variables to enable meaningful comparisons among studies, and (ii) two parallel meta-regression pipelines to reliably handle missing data.

Systematic Investigation of Meta-Analysis Data on Treatment Effectiveness for Physical, Psychological, and Sexual Intimate Partner Violence Perpetration / [Investigación sistemática de los datos de meta-análisis sobre la eficacia del tratamiento de la agresión de pareja física, psicológica y sexual]

Intimate partner violence can lead to physical, economical, mental, and sexual well-being issues, and even death, and it is most commonly experienced by women. There exist a number of treatment models for the prevention and treatment of intimate partner violence (IPV). In this study, we provided a comprehensive meta-regression analysis of the effectiveness of batterer treatment programs, with a view to characterizing the interplay between different forms of IPV (physical, psychological, and sexual). Using meta-regression, we explore the effect sizes and whether IPV treatment methods have distinct impacts on the outcomes. We use the difference normalized by pretreatment mean and variance foldchange to uncover the relationship between different violence subtypes and how they drive each other. Specifically, our study found that studies with more pre-treatment psychological and/or sexual violence, lead to less favorable outcomes while the studies that start with more physical violence are able to demonstrate their effects more effectively. Results of this study can be used to help the clinician effectively select the treatment for the perpetrator based on the violence type and severity of violence in order to more effectively treat the needs for each specific relationship.(AU)

La violencia de pareja puede llegar a afectar al bienestar físico, económico, mental y sexual e incluso llevar a la muerte, siendo experimentada con más frecuencia por las mujeres. Hay diversos modelos de prevención y tratamiento de la violencia de pareja (VP). En este estudio se lleva a cabo un análisis global de meta-regresión de la eficacia de los programas de tratamiento para maltratadores centrado en caracterizar la interacción entre diferentes formas de VP (física, psicológica y sexual). Mediante meta-regresión se explora el tamaño del efecto y si los distintos métodos de tratamiento de la VP influyen de modo distinto en los resultados. Se utiliza la diferencia normalizada por la media y la reducción de la heterogeneidad (varianza) del pretratamiento para analizar la relación entre los distintos tipos de violencia y cómo se influyen mutuamente. En concreto en este trabajo encontramos que los estudios con más violencia psicológica y/o sexual en el pretratamiento tienen resultados menos favorables, mientras que los que comienzan con más violencia física pueden demostrar sus efectos de un modo más eficaz. Los resultados de este estudio pueden ser de ayuda para que el profesional seleccione de modo más eficaz el tratamiento para el agresor teniendo en cuenta el tipo de violencia y su gravedad, con el fin de tratar de forma más adecuada las necesidades de cada relación específica.(AU)

A CpG island promoter drives the CXXC5 gene expression.

CXXC5 is a member of the zinc-finger CXXC family that binds to unmethylated CpG dinucleotides. CXXC5 modulates gene expressions resulting in diverse cellular events mediated by distinct signaling pathways. However, the mechanism responsible for CXXC5 expression remains largely unknown. We found here that of the 14 annotated CXXC5 transcripts with distinct 5' untranslated regions encoding the same protein, transcript variant 2 with the highest expression level among variants represents the main transcript in cell models. The DNA segment in and at the immediate 5'-sequences of the first exon of variant 2 contains a core promoter within which multiple transcription start sites are present. Residing in a region with high G-C nucleotide content and CpG repeats, the core promoter is unmethylated, deficient in nucleosomes, and associated with active RNA polymerase-II. These findings suggest that a CpG island promoter drives CXXC5 expression. Promoter pull-down revealed the association of various transcription factors (TFs) and transcription co-regulatory proteins, as well as proteins involved in histone/chromatin, DNA, and RNA processing with the core promoter. Of the TFs, we verified that ELF1 and MAZ contribute to CXXC5 expression. Moreover, the first exon of variant 2 may contain a G-quadruplex forming region that could modulate CXXC5 expression.

MotifGenie: a Python application for searching transcription factor binding sequences using ChIP-Seq datasets.

MOTIVATION: Next generation sequencing enabled the fast accumulation of genomic data at public repositories. This technology also made it possible to better understand the regulation of gene expression by transcription factors (TFs) and various chromatin-associated proteins through the integration of chromatin immunoprecipitation (ChIP-Seq). The Cistrome Project has become one of the indispensable research portals for biologists to access and analyze data generated with thousands of ChIP-Seq experiments. Integrative motif analysis on shared binding regions among a set of experiments is not yet achievable despite a set of search and analysis tools provided by Cistrome via its web interface and the Galaxy framework. RESULTS: We implemented a python command-line tool for searching binding sequences of a TF common to multiple ChIP-Seq experiments. We use the peaks in the Cistrome database as identified by MACS 2.0 for each experiment and identify shared peak regions in a genomic locus of interest. We then scan these regions for binding sequences using a binding motif of a TF obtained from the JASPAR database. MotifGenie is developed in collaboration with molecular biologists and its findings are corroborated by laboratory experiments. AVAILABILITY AND IMPLEMENTATION: MotifGenie is freely available at https://github.com/ceragoguztuzun/MotifGenie.