Test Groups, Not Individuals: A Review of the Pooling Approaches for SARS-CoV-2 Diagnosis.

Massive molecular testing for SARS-CoV-2 diagnosis is mandatory to manage the spread of COVID-19. Diagnostic screening should be performed at a mass scale, extended to the asymptomatic population, and repeated over time. An accurate diagnostic pipeline for SARS-CoV-2 that could massively increase the laboratory efficiency, while being sustainable in terms of time and costs, should be based on a pooling strategy. In the past few months, researchers from different disciplines had this same idea: test groups, not individuals. This critical review intends to highlight both the general consents-even if the results from different publications have been obtained with different protocols-and the points of disagreement that are creating some interpretative/comprehension difficulties. Different pooling schemes and technical aspects associated to the type of pooling adopted are described and discussed. We hope that this review can consolidate information to support researchers in designing optimized COVID-19 testing protocols based on pooling.

Informed sequential pooling approach to detect SARS-CoV-2 infection.

The alarming spread of the pandemic coronavirus disease 2019 (COVID-19) caused by the SARS-CoV-2 virus requires several measures to reduce the risk of contagion. Every successful strategy in controlling the SARS-CoV-2 infection depends on timely diagnosis, which should include testing of asymptomatic carriers. Consequently, increasing the throughput for clinical laboratories for the purposes of conducting large-scale diagnostic testing is urgently needed. Here we support the hypothesis that standard diagnostic protocol for SARS-CoV-2 virus could be conveniently applied to pooled samples obtained from different subjects. We suggest that a two-step sequential pooling procedure could identify positive subjects, ensuring at the same time significant benefits of cost and time. The simulation data presented herein were used to assess the efficiency, in terms of number of required tests, both for random assignment of the subjects to the pools and for situations in which epidemiological and clinical data are used to create "informed" pools. Different scenarios were simulated to measure the effect of different pool sizes and different values for virus frequency. Our results allow for a customization of the pooling strategy according to the specific characteristics of the cohort being tested.

l-Arginine prevents inflammatory and pro-calcific differentiation of interstitial aortic valve cells.

BACKGROUND AND AIMS: Reduced bioavailability of nitric oxide (NO) has been implicated in the pathogenesis of calcific aortic stenosis. Herein, we investigated the effects of l-Arginine, the main precursor of NO, on the osteogenic differentiation of aortic interstitial valve cells (VICs). METHODS: We isolated a clonal population of bovine VICs that expresses osteogenic markers and induces calcification of collagen matrix after stimulation with endotoxin (LPS 500 ng/mL). VICs were treated in vitro with different combinations of LPS ± l-Arginine (50 or 100 mM) and cell extracts were collected to perform proteomic (iTRAQ) and gene expression (RT-PCR) analysis. RESULTS: l-Arginine prevents the over-expression of alkaline phosphatase (ALP, p < 0.001) and reduces matrix calcification (p < 0.05) in VICs treated with LPS. l-Arginine also reduces the over-expression of inflammatory molecules induced by LPS (TNF-alpha, IL-6 and IL-1beta, p < 0.001). The proteomic analysis allowed to identify 49 proteins with an altered expression profile after stimulation with LPS and significantly modified by l-Arginine. These include proteins involved in the redox homeostasis of the cells (i.e. Xanthine Oxidase, Catalase, Aldehyde Oxidase), remodeling of the extracellular matrix (i.e. ADAMTSL4, Basigin, COL3A1) and cellular signaling (i.e. Fibrillin-1, Legumain, S100A13). The RT-PCR analysis confirmed the modifications of Fibrillin-1, ADAMTSL4, Basigin and Xanthine Oxidase, whose expression levels increase after stimulation with LPS and are reduced by l-Arginine (p < 0.05). CONCLUSIONS: l-Arginine prevents osteogenic differentiation of VICs and reduces matrix calcification. This effect is achieved through the modulation of proteins involved in the cellular redox system, remodeling of extracellular matrix and inflammatory activation of VICs.

Pleural mesothelioma: forecasts of the death toll in the area of Casale Monferrato, Italy.

In the city of Casale Monferrato, the largest Italian factory that produced asbestos-cement goods was active from 1907 to 1985. Consequently, asbestos fibers scattered in the surrounding area and caused an enormous number of cases of pleural mesothelioma. Owing to the very long latency of this disease, many subjects have not exhibited its symptoms yet. The aim of this paper is to model and predict the future evolution of the number of deaths due to this disease among residents in the area around that city. The model used here is based on a cellular automata that is assumed to pass through three steps: exposure, contamination, and diagnosis. In this way, forecasts of the future evolution take into account the environmental conditions that changed over the last century because of different levels of plant activity. The model is fitted to annual diagnosis data from 1954 to 2008. Results show that deaths will not end until 2031 and that in the next two decades, at least 505 more subjects will be diagnosed with this disease.