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Thompson Emerson posted an update 6 months, 2 weeks ago
Analysis of allele frequencies of short tandem repeat (STR) loci in ethnically diverse populations is essential for forensic reference database construction and studies on population genetics.
To analyse genetic polymorphisms of 22 autosomal STR loci in the Serbian population and to compare them with previously published data from some European and Turkish populations.
The study was conducted among 983 unrelated individuals from Serbia. Genotyping was performed using the PowerPlex
Fusion amplification kit. Allele frequencies and forensic parameters were calculated using FORSTAT software. Interpopulation comparisons and genetic distance calculations were performed in Arlequin and POPTREEW software.
A total of 280 alleles were detected with corresponding allelic frequencies ranging from 0.0005 to 0.5255. Based on heterozygosity and the polymorphism information content, D1S1656 and Penta E may be considered as the most informative markers. Both the combined power of discrimination (CPD) and the combined power of exclusion (CPE) for the 22 analysed loci were higher than 0.999999. The combined match probability (CPM) for all 22 loci was 6.773688e
.
With respect to the results, the 22 STR loci are highly polymorphic and discriminating in the Serbian population and could be used for forensic practice and population genetics studies.
With respect to the results, the 22 STR loci are highly polymorphic and discriminating in the Serbian population and could be used for forensic practice and population genetics studies.Attenuation of cathepsin B (CATB) proteolytic activity and/or inhibition serves as a potential therapeutic target in cancer metastasis. Herein, we determined the specificity of FDA approved potential anti-cancer natural flavonoid decursinol angelate (DA), thymol (TH) and a propionic acid derivative ibuprofen (IB), for the inactivation of CATB. We used enzymatic assay, computational and in vitro methods for the identification of the best candidate. Out of these we found DA can inhibit CATB with lowest IC50 measured after one hour of incubation using Z-Phe-Arg-4MβNA (BANA) as a substrate. Docking analysis suggested favorable interaction of DA with the catalytic site residues (GLN23, CYS26, HIS110, HIS111) of CATB (PDB Id 1HUC) were responsible for the inhibition of its proteolytic activity. Additionally, in vitro quantification with human colorectal carcinoma (HCT 116) revealed, DA rapidly inactivates CATB as compared with commercial synthetic inhibitor CA074 with no cellular toxicity towards normal colon cells (CCD 841).The COVID-19 pandemic has exposed, and intensified, health inequities faced by Latinx in the United States. Washington was one of the first U.S. states to report cases of COVID-19. Public health surveillance shows that 31% of Washington cases are Latinx, despite being only 13% of the state population. Unjust policies related to immigration, labor, housing, transportation, and education have contributed to both past and existing inequities. Approximately 20% of Latinx are uninsured, leading to delays in testing and medical care for COVID-19, and early reports indicated critical shortages in professional interpreters and multilingual telehealth options. Washington State is taking action to address some of these inequities. Applying a health equity framework, we describe key factors contributing to COVID-19-related health inequities among Latinx populations, and how Washington State has aimed to address these inequities. We draw on these experiences to make recommendations for other Latinx communities experiencing COVID-19 disparities.
A robust evidence base is needed to develop sustainable cross-party solutions for public housing to promote well-being. The provision of public housing is politically contentious in New Zealand, as in many liberal democracies. iMDK Depending on the government, policies oscillate between encouraging sales of public housing stock and reducing investment and maintenance, and large-scale investment, provision, and regeneration of public housing.
We aimed to develop frameworks to evaluate the impact of public housing regeneration on tenant well-being at the apartment, complex, and community levels, and to inform future policies.
Based on a systems approach and theory of change models, we developed a mixed methods quasi-experimental before-and-after outcomes evaluation frameworks, with control groups, for three public housing sites. This evaluation design had flexibility to accommodate real-world complexities, inherent in evaluating large-scale public health interventions, while maintaining scientific rigor to reavidence base to inform best practice, rational, decision-making policy for the public as well as the private sector.Housing is poorly constructed for the New Zealand climate and is a major cause of poor health and premature mortality. Private rental housing is older and in poorer condition than public housing and owner-occupied housing. This special issue describes four different approaches to improving housing, which have implications for international housing, health, and well-being policies. The first approach looks at generating the evidence base for improving the quality of the rental sector; the second, the aftereffects of the Christchurch earthquake and the unprecedented role taken by the central government to override local government and community involvement in rebuilding housing and regenerating the city; the third, measuring the effectiveness of the remediation of public housing; and finally, community-based partnerships between community workers and academics to improve the housing of children who have been hospitalized for housing-sensitive hospitalizations.
Previous research has shown two-way associations between rental tenure, poorer housing quality, and health outcomes, but little research has looked at relative housing contributions to health outcomes.
We investigated whether tenure and/or dwelling condition were associated with housing-sensitive hospitalizations and whether any association differed by income.
Using a data set of housing characteristics matched to hospitalization records, rental tenure data, and income quintiles, we modeled differences in housing-sensitive hospitalization rates by ecological-level tenure and housing condition, controlling for age-group and mean temperatures.
There were clear associations between income, tenure, and house condition, and winter-associated hospitalization risk. In the adjusted model, the largest risk differences were associated with neighborhoods with low income (risk ratio = 1.48) and high rental tenure (
= 1.41). There was a nonsignificant difference for housing condition (
= 1.04).
Rental tenure and poor housing condition were risks for housing-sensitive hospitalization, but the association with income was stronger.
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