THE INTERFACE BETWEEN THE LASSA VIRUS EPIDEMIC, THE COVID-19 PANDEMIC, AND THE FOOD ENVIRONMENT IN NIGERIA: A ONE HEALTH APPROACH

For the Nigerian populace, social and health inequities continue to be disproportionately heightened due to the triad of Lassa virus epidemic, COVID-19 pandemic, and worsening food environment. This review uses secondary data sources to examine the interface of the Lassa virus (LASV) epidemic and the COVID-19 pandemic in Nigeria and its impact on the food environment. This paper adopts One Health as a conceptual framework and takes an integrativelens to understand the interconnections and parallels between the scourges of LASV and COVID-19 on the food environment. Significant challenges relating to hunger, poverty, food insecurity, food loss and malnutrition regarding both Lassa virus and COVID-19 were uncovered. The spread of zoonotic diseases transmitted from animals to humans are worsened by unplanned urbanization, urbanization of poverty, insufficient management information systems, population increase, and climate change. The paper discusses practical measures to preparedness and response and suggests that priority should be placed on the strengthening local food environment to encourage better food diversity, access, and affordable options. A One Health approach is holistic and contingent on an informed, inclusive, community-driven, and sustainable infrastructure as well as on healthy biodiversity and functioning ecosystems,which are necessary for human and environmental health

A vine copula mixed effect model for trivariate meta-analysis of diagnostic test accuracy studies accounting for disease prevalence

A bivariate copula mixed model has been recently proposed to synthesize diagnostic test accuracy studies and it has been shown that it is superior to the standard generalized linear mixed model in this context. Here, we call trivariate vine copulas to extend the bivariate meta-analysis of diagnostic test accuracy studies by accounting for disease prevalence. Our vine copula mixed model includes the trivariate generalized linear mixed model as a special case and can also operate on the original scale of sensitivity, specificity, and disease prevalence. Our general methodology is illustrated by re-analyzing the data of two published meta-analyses. Our study suggests that there can be an improvement on trivariate generalized linear mixed model in fit to data and makes the argument for moving to vine copula random effects models especially because of their richness, including reflection asymmetric tail dependence, and computational feasibility despite their three dimensionality

Monte Carlo validation of a mu-SPECT imaging system on the lightweight grid CiGri

à paraître dans Future Generation Computer SystemsMonte Carlo Simulations (MCS) are nowadays widely used in the field of nuclear medicine for system and algorithms designs. They are valuable for accurately reproducing experimental data, but at the expense of a long computing time. An efficient solution for shorter elapsed time has recently been proposed: grid computing. The aim of this work is to validate a small animal gamma camera MCS and to confirm the usefulness of grid computing for such a study. Good matches between measured and simulated data were achieved and a crunching factor up to 70 was attained on a lightweight campus grid

Towards precision medicine for hypertension: a review of genomic, epigenomic, and microbiomic effects on blood pressure in experimental rat models and humans

Compelling evidence for the inherited nature of essential hypertension has led to extensive research in rats and humans. Rats have served as the primary model for research on the genetics of hypertension resulting in identification of genomic regions that are causally associated with hypertension. In more recent times, genome-wide studies in humans have also begun to improve our understanding of the inheritance of polygenic forms of hypertension. Based on the chronological progression of research into the genetics of hypertension as the "structural backbone," this review catalogs and discusses the rat and human genetic elements mapped and implicated in blood pressure regulation. Furthermore, the knowledge gained from these genetic studies that provide evidence to suggest that much of the genetic influence on hypertension residing within noncoding elements of our DNA and operating through pervasive epistasis or gene-gene interactions is highlighted. Lastly, perspectives on current thinking that the more complex "triad" of the genome, epigenome, and the microbiome operating to influence the inheritance of hypertension, is documented. Overall, the collective knowledge gained from rats and humans is disappointing in the sense that major hypertension-causing genes as targets for clinical management of essential hypertension may not be a clinical reality. On the other hand, the realization that the polygenic nature of hypertension prevents any single locus from being a relevant clinical target for all humans directs future studies on the genetics of hypertension towards an individualized genomic approach

Heterologous expression screens in Nicotiana benthamiana identify a candidate effector of the wheat Yellow Rust Pathogen that associates with processing bodies

Rust fungal pathogens of wheat (Triticum spp.) affect crop yields worldwide. The molecular mechanisms underlying the virulence of these pathogens remain elusive, due to the limited availability of suitable molecular genetic research tools. Notably, the inability to perform high-throughput analyses of candidate virulence proteins (also known as effectors) impairs progress. We previously established a pipeline for the fast-forward screens of rust fungal candidate effectors in the model plant Nicotiana benthamiana. This pipeline involves selecting candidate effectors in silico and performing cell biology and protein-protein interaction assays in planta to gain insight into the putative functions of candidate effectors. In this study, we used this pipeline to identify and characterize sixteen candidate effectors from the wheat yellow rust fungal pathogen Puccinia striiformis f sp tritici. Nine candidate effectors targeted a specific plant subcellular compartment or protein complex, providing valuable information on their putative functions in plant cells. One candidate effector, PST02549, accumulated in processing bodies (P-bodies), protein complexes involved in mRNA decapping, degradation, and storage. PST02549 also associates with the P-body-resident ENHANCER OF mRNA DECAPPING PROTEIN 4 (EDC4) from N. benthamiana and wheat. We propose that P-bodies are a novel plant cell compartment targeted by pathogen effectors

Effect of Dexamethasone on Dyspnoea in Patients With Cancer (Abcd): A Parallel-Group, Double-Blind, Randomised, Controlled Trial

BACKGROUND: Systemic corticosteroids are commonly prescribed for palliation of dyspnoea in patients with cancer, despite scarce evidence to support their use. We aimed to assess the effect of high-dose dexamethasone versus placebo on cancer-related dyspnoea. METHODS: This double-blind, multi-site, parallel group randomized trial enrolled ambulatory patients with cancer, age ≥18, average dyspnea intensity over the past week ≥4/10 in a 0–10 point numeric rating scale and randomly assigned them to receive dexamethasone 8 mg orally every 12 hours for 7 days followed by 4 mg orally every 12 hours for 7 days or matching placebo capsules. Pharmacists conducted permuted block randomization (block size=6, 2:1) stratified by baseline dyspnea and study site. Patients, research staff and clinicians were blinded. The primary outcome was change in dyspnea intensity assessed with a 0–10 numeric rating scale (0=none, 10=worst) between baseline and day 7. Comparisons between groups were done by modified intention-totreat analysis. This study is registered with ClinicalTrials.gov, NCT03367156. Enrollment was stopped after second pre-planned interim analysis when futility criterion was met. FINDINGS: Between Jan 11, 2018, and April 23, 2021, we screened 2867 patients, enrolled 149 patients, and randomly assigned 128 to dexamethasone (n=85) or placebo (n=43). The mean change in dyspnoea NRS intensity from baseline to day 7 (±2 days) was -1·6 (95% CI -2·0 to -1·2) in the dexamethasone group and -1·6 (-2·3 to -0·9) in the placebo group, with no significant between-group difference (mean 0 [95% CI -0·8 to 0·7]; p=0·48). The most common all-cause grade 3-4 adverse events were infections (nine [11%] of 85 patients in the dexamethasone group vs three [7%] of 43 in the placebo group), insomnia (seven [8%] vs one [2%]), and neuropsychiatric symptoms (three [4%] vs none [0%]). Serious adverse events, all resulting in hospital admissions, were reported in 24 (28%) of 85 patients in the dexamethasone group and in three (7%) of 43 patients in the placebo group. No treatment-related deaths occurred in either group. INTERPRETATION: High-dose dexamethasone did not improve dyspnoea in patients with cancer more effectively than placebo and was associated with a higher frequency of adverse events. These data suggest that dexamethasone should not be routinely given to unselected patients with cancer for palliation of dyspnoea. FUNDING: US National Cancer Institute

Associations of common breast cancer susceptibility alleles with risk of breast cancer subtypes in BRCA1 and BRCA2 mutation carriers

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