Suchergebnisse

The serious alert and border rejection notifications on food from the European Union Rapid Alert System for Food and Feed (EU RASFF) database were used to determine their lag phases (from sampling to notification dates). More specifically, 4503 serious alert notifications on food were used to calculate the percent (%) share of various lag phases in an overall fashion (for all EU RASFF Member States collectively examined) as well as for the top-three Member States (in notification numbers), in each one of seven hazard categories. The same procedure was followed for 5236 serious border rejection notifications in each one of five hazard categories on food. The lag phases calculated revealed a state of nonharmonization (in lag phases percent shares) both overall and among the top-three Member States, and in the same MS in various hazard categories in serious alert but less pronounced in serious border rejection notifications. Thus, a "Performance Effectiveness Reporting (PER)-50/30" indicator (over 50% of notifications being notified to the RASFF within 30 days of sampling) was proposed for both types of serious notifications, and its application herein has revealed volatility in performance effectiveness reporting among the top-three EU RASFF Member States in the hazard categories. Actions to harmonize this inconsistency should be pursued in the context of safeguarding public health, aiming at the fastest possible risk management and risk communication of serious contamination incidents on food. Finally, a proposal of an "RASFF country profile" is hereby proposed.

The European Union Rapid Alert System for Food and Feed (EU RASFF) database is an invaluable instrument for analyzing notifications involving norovirus in food. The aim of this work was to carry out a thorough research of the alert and border rejection notifications submitted in the RASFF database from its onset until 31 August 2017. Some conclusions of interest were: (i) Denmark, France, Italy, the Netherlands and Norway have contributed the majority of alert notifications as notifying countries, (ii) France and Serbia have been cited more often in alert notifications as countries of origin, (iii) Italy and Spain have submitted the majority of border rejection notifications, (iv) Third Countries implicated more frequently in border rejection notifications for norovirus in bivalve molluscs were Vietnam and Tunisia, whereas in fruits and vegetables were China and Serbia, (v) "risk dispersion" from norovirus-contaminated food was narrow since, in just over half of all alert notifications and all of the border rejection notifications, only up to three countries were involved, and (vi) both raw (oysters and berries) and cooked (mussels) food products can present a health risk to consumers. The information retrieved from the RASFF database on norovirus-contaminated food could prove helpful in the planning of future norovirus risk analysis endeavors.

AbstractIntroductionHIV reservoirs and infected cells may persist in tissues with low concentrations of antiretrovirals (ARVs). Traditional pharmacology methods cannot assess variability in ARV concentrations within morphologically complex tissues, such as lymph nodes (LNs). We evaluated the distribution of six ARVs into LNs and the proximity of these ARVs to CD4+ T cells and cell‐associated RT‐SHIV viral RNA.MethodsBetween December 2014 and April 2017, RT‐SHIV infected (SHIV+; N = 6) and healthy (SHIV–; N = 6) male rhesus macaques received two selected four‐drug combinations of six ARVs over 10 days to attain steady‐state conditions. Serial cryosections of axillary LN were analysed by a multimodal imaging approach that combined mass spectrometry imaging (MSI) for ARV disposition, RNAscope in situ hybridization for viral RNA (vRNA) and immunohistochemistry for CD4+ T cell and collagen expression. Spatial relationships across these four imaging domains were investigated by nearest neighbour search on co‐registered images using MATLAB.ResultsThrough MSI, ARV‐dependent, heterogeneous concentrations were observed in different morphological LN regions, such as the follicles and medullary sinuses. After 5–6 weeks of infection, more limited ARV penetration into LN tissue relative to the blood marker heme was found in SHIV+ animals (SHIV+: 0.7 [0.2–1.4] mm; SHIV–: 1.3 [0.5–1.7] mm), suggesting alterations in the microcirculation. However, we found no detectable increase in collagen deposition. Regimen‐wide maps of composite ARV distribution indicated that up to 27% of SHIV+ LN tissue area was not exposed to detectable ARVs. Regions associated with B cell follicles had median 1.15 [0.94–2.69] ‐fold reduction in areas with measurable drug, though differences were only statistically significant for tenofovir (p = 0.03). Median co‐localization of drug with CD4+ target cells and vRNA varied widely by ARV (5.1–100%), but nearest neighbour analysis indicated that up to 10% of target cells and cell‐associated vRNA were not directly contiguous to at least one drug at concentrations greater than the IC50 value.ConclusionsOur investigation of the spatial distributions of drug, virus and target cells underscores the influence of location and microenvironment within LN, where a small population of T cells may remain vulnerable to infection and low‐level viral replication during suppressive ART.