Antiviral TRIMs: friend or foe in autoimmune and autoinflammatory disease?

The concept that viral sensing systems, via their ability to drive pro-inflammatory cytokine and interferon production, contribute to the development of autoimmune and autoinflammatory disease is supported by a wide range of clinical and experimental observations. Recently, the tripartite motif-containing proteins (TRIMs) have emerged as having key roles in antiviral immunity — either as viral restriction factors or as regulators of pathways downstream of viral RNA and DNA sensors, and the inflammasome. Given their involvement in these pathways, we propose that TRIM proteins contribute to the development and pathology of autoimmune and autoinflammatory conditions, thus making them potential novel targets for therapeutic manipulation

Outcome impact of coronary revascularization strategy reclassification with fractional flow reserve at time of diagnostic angiography: insights from a large French multicenter fractional flow reserve registry

International audienceBACKGROUND: There is no large report of the impact of fractional flow reserve (FFR) on the reclassification of the coronary revascularization strategy on individual patients referred for diagnostic angiography. METHODS AND RESULTS: The Registre Francais de la FFR (R3F) investigated 1075 consecutive patients undergoing diagnostic angiography including an FFR investigation at 20 French centers. Investigators were asked to define prospectively their revascularization strategy a priori based on angiography before performing the FFR. The final revascularization strategy, reclassification of the strategy by FFR, and 1-year clinical follow-up were prospectively recorded. The strategy a priori based on angiography was medical therapy in 55% and revascularization in 45% (percutaneous coronary intervention, 38%; coronary artery bypass surgery, 7%). Patients were treated according to FFR in 1028/1075 (95.7%). The applied strategy after FFR was medical therapy in 58% and revascularization in 42% (percutaneous coronary intervention, 32%; coronary artery bypass surgery, 10%). The final strategy applied differed from the strategy a priori in 43% of cases: in 33% of a priori medical patients, in 56% of patients undergoing a priori percutaneous coronary intervention, and in 51% of patients undergoing a priori coronary artery bypass surgery. In reclassified patients treated based on FFR and in disagreement with the angiography-based a priori decision (n=464), the 1-year outcome (major cardiac event, 11.2%) was as good as in patients in whom final applied strategy concurred with the angiography-based a priori decision (n=611; major cardiac event, 11.9%; log-rank, P=0.78). At 1 year, \textgreater93% patients were asymptomatic without difference between reclassified and nonreclassified patients (Generalized Linear Mixed Model, P=0.75). Reclassification safety was preserved in high-risk patients. CONCLUSION: This study shows that performing FFR during diagnostic angiography is associated with reclassification of the revascularization decision in about half of the patients. It further demonstrates that it is safe to pursue a revascularization strategy divergent from that suggested by angiography but guided by FFR

Dairy products discrimination according to the milk type using an electrochemical multisensor device coupled with chemometric tools

This study shows the potential application of a potentiometric electronic tongue coupled with a lab-made DataLogger device for the classification of dairy products according to the type of milk used in their production, i.e., natural, fermented and UHT milk. The electronic tongue device merged a commercial pH electrode and 15 lipid/polymeric membranes, which were obtained by a drop-by-drop technique. The potentiometric signal profiles gathered from the 16 sensors, during the analysis of the 11 dairy products (with ten replicate samples), together with principal component analysis showed that dairy samples could be naturally grouped according to the three types of milk evaluated. To further investigate and verify this capability, a linear discriminant analysis together with a simulated annealing variable selection algorithm was also applied to the electrochemical data, which were randomly split into two datasets, one used for model training and internal-validation using a repeated K-fold cross-validation procedure (with 64% of the data); and the other for external validation purposes (containing the remaining 36% of the data). The multivariate supervised strategy used allowed establishing a classification model, based on the potentiometric information of four sensor lipid membranes, which enabled achieving a successful discrimination rate of 100% for both internal-and external-validation processes. The demonstrated versatility of the built electronic tongue for discriminating Dairy products according to the type of milk used in their production combined with its simplicity, low-cost and fast time analysis may envisage a possible future application in dairy industry