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Anker Lohse posted an update 6 months, 2 weeks ago
.Although applied behavior analysis researchers have created efficacious treatment and intervention practices for children and youth with autism spectrum disorder (ASD), there is a gap between research and practice. Implementation Science (IS) and Organizational Behavior Management (OBM), based with Applied Behavior Analysis, are two parallel fields that could close this gap. buy Regorafenib This paper provides descriptions of both IS and OBM, highlighting their commonalities and unique featuers. The paper concludes with examples of how researchers have used IS and OBM to promote practitioners’ use of evidence-based practices and services for children and youth with ASD.
Increase in total health expenditures is one of the main challenges of health systems worldwide, and its inequality is considered as a concern in global arena especially developing countries. This study aims to measure inequality in the distribution of selected indicators of national health accounts across the Iranian provinces.
In this study, the data on health financing agents from provincial health accounts from 2008 to 2016 were collected. Gini coefficient (GC) was used to measure inequality. The population and the number of service providers in each province were the bases to measure the GC. The Coefficient of Variation (CV) and the Rate Ratio (RR) were used to determine the dispersion and variation across the provinces. Disparity index was employed to measure the average deviation of the out-of-pocket (OOP) proportion from the desired OOP proportion presented in national development plans (NDPs) of Iran.
The distribution of resources using both bases were unequal, especially in OOP, with the higheexpenditures was higher than public one. Distribution of OOP spent by households at provincial level showed a high inequality. It is suggested that inequality measures to be considered in NDPs to illustrate how resources are distributed at the geographical level. NHA framework can help to provide robust evidence base for policymaking.
-methyladenosine (m
A) modification might be closely associated with the genesis and development of gastric cancer (GC). Currently, the evidence established by high-throughput assay for GC-related m
A patterns based on long non-coding RNAs (lncRNAs) remains limited. Here, a joint analysis of lncRNA m
A methylome and lncRNA/mRNA expression profiles in GC was performed to explore the regulatory roles of m
A modification in lncRNAs.
Three subjects with primary GC were enrolled in our study and paired sample was randomly selected from GC tissue and adjacent normal tissue for each case. Methylated RNA Immunoprecipitation NextGeneration Sequencing (MeRIP-Seq) and Microarray Gene Expression Profiling was subsequently performed. Then co-expression analysis and gene enrichment analysis were successively conducted.
After data analysis, we identified 191 differentially m
A-methylated lncRNAs, 240 differentially expressed lncRNAs and 229 differentially expressed mRNAs in GC. Furthermore, four differentially m
A-methylated and expressed lncRNAs (dme-lncRNAs) were discovered including RASAL2-AS1, LINC00910, SNHG7 and LINC01105. Their potential target genes were explored by co-expression analysis. And gene enrichment analysis suggested that they might influence the cellular processes and biological behaviors involved in mitosis and cell cycle. The potential impacts of these targets on GC cells were further validated by CCLE database and literature review.
Four novel dme-lncRNAs were identified in GC, which might exert regulatory roles on GC cell proliferation. The present study would provide clues for the lncRNA m
A methylation-based research on GC epigenetic etiology and pathogenesis.
Four novel dme-lncRNAs were identified in GC, which might exert regulatory roles on GC cell proliferation. The present study would provide clues for the lncRNA m6A methylation-based research on GC epigenetic etiology and pathogenesis.
Emerging studies have disclosed long non-coding RNAs (lncRNAs) as pivotal modulators in the progression of prostate cancer (PCa). Current research planned to figure out the involvement of lncRNA nicotinamide nucleotide transhydrogenase antisense RNA 1 (NNT-AS1) in PCa.
RNA expression was examined using RT-qPCR in PCa cells. Functional assays assessed the viability, proliferation, apoptosis and migration of PCa cells. RNA pull down and luciferase reporter experiments detected the interplay between miRNA and lncRNA or mRNA.
NNT-AS1 was apparently upregulated in PCa cells. NNT-AS1 deficiency abrogated PCa cell viability, proliferation and migration but promoted apoptosis. Besides, miR-496 could be sequestered by NNT-AS1 to elevate the expression of DNA damage inducible transcript 4 (DDIT4) in PCa. Rescue assays indicated that overexpressed DDIT4 or restrained miR-496 could reverse the influence of NNT-AS1 depletion on malignant processes in PCa cells.
NNT-AS1 contributes to the malignant phenotypes of PCa cells through targeting miR-496 to boost DDIT4 expression.
NNT-AS1 contributes to the malignant phenotypes of PCa cells through targeting miR-496 to boost DDIT4 expression.
Several studies were conducted to explore the prognostic value of modified Glasgow Prognostic Score (mGPS) in pancreatic cancer, which reported contradictory results. The purpose of this meta-analysis was to summarize and further investigate the correlation between mGPS and overall survival (OS) in pancreatic cancer.
A systematic literature search was performed in PubMed, EMBASE, ISI Web of Science, Cochrane library databases and OVID to identify eligible studies published from Jan 1, 2011 to June 20, 2020. Pooled hazard ratios (HRs) with corresponding 95% confidence intervals (CIs) were used to detect the prognostic significance of mGPS in patients with pancreatic cancer.
A total of 222 non-repetitive studies were identified, and 20 related studies that explored the association between survival outcomes and mGPS in pancreatic cancer patients were finally enrolled in this meta-analysis. The results showed a significant correlation between high level of mGPS and poor OS (HR = 1.50, 95% CI 1.20-1.89, P < 0.