In eukaryotes, many essential secreted proteins and peptide hormones are excised from larger precursors by members of a class of calcium-dependent endoproteinases, the prohormone-proprotein convertases (PCs). Furin, the best-characterized member of the mammalian PC family, has essential functions in embryogenesis and homeostasis but is also implicated in various pathologies such as tumor metastasis, neurodegeneration and various bacterial and viral diseases caused by such pathogens as anthrax and pathogenic Ebola virus strains. Furin cleaves protein precursors with narrow specificity following basic Arg-Xaa-Lys/Arg-Arg-like motifs. The 2.6 A crystal structure of the decanoyl-Arg-Val-Lys-Arg-chloromethylketone (dec-RVKR-cmk)-inhibited mouse furin ectodomain, the first PC structure, reveals an eight-stranded jelly-roll P domain associated with the catalytic domain. Contoured surface loops shape the active site by cleft, thus explaining furin's stringent requirement for arginine at P1 and P4, and lysine at P2 sites by highly charge-complementary pockets. The structure also explains furin's preference for basic residues at P3, P5 and P6 sites. This structure will aid in the rational design of antiviral and antibacterial drugs.
Artemisinins are the most important class of antimalarial drugs. They specifically inhibit PfATP6, a SERCA-type ATPase of Plasmodium falciparum. Here we show that a single amino acid in transmembrane segment 3 of SERCAs can determine susceptibility to artemisinin. An L263E replacement of a malarial by a mammalian residue abolishes inhibition by artemisinins. Introducing residues found in other Plasmodium spp. also modulates artemisinin sensitivity, suggesting that artemisinins interact with the thapsigargin-binding cleft of susceptible SERCAs.
The ubiquitous serine endoprotease furin has been implicated in the activation of bacterial toxins and viral glycoproteins as well as in the metastatic progression of certain tumors. Although high molecular mass bioengineered serpin inhibitors have been well characterized, no small nontoxic nanomolar inhibitors have been reported to date. Here we describe the identification of such inhibitors using positional scanning amidated and acetylated synthetic L-and D-hexapeptide combinatorial libraries. The results indicated that L-Arg or L-Lys in all positions generated the most potent inhibitors. However, further investigation revealed that the peptide terminating groups hindered inhibition. Consequently, a series of non-amidated and acetylated polyarginines was synthesized. The most potent inhibitor identified, nona-L-arginine, had a K i for furin of 40 nM. The K i values for the related convertases PACE4 and prohormone convertase-1 (PC1) were 110 nM and 2.5 M, respectively. Although nona-L-arginine was cleaved by furin, the major products after a 6-h incubation at 37°C were hexaand hepta-L-arginines, both of which retained the great majority of their potency and specificity against furin. Hexa-D-arginine was as potent and specific a furin inhibitor as hexa-L-arginine (K i values of hexa-D-arginine: 106 nM, 580 nM, and 13.2 M for furin, PACE4, and PC1, respectively). PC2 was not inhibited by any polyarginine tested; indeed, PC2 showed an increase in activity of up to 140% of the control in the presence of L-polyarginines. Data are also presented that show extended subsite recognition by furin and PC2. Whereas N-terminal acetylation was found to reduce the inhibitory potency of the L-hexapeptide LLRVKR against furin 8-fold, Cterminal amidation reduced the potency <2-fold. Conversely, N-terminal acetylation increased the potency against PC2 nearly 3-fold, whereas C-terminal amidation of the same peptide increased the potency by a factor of 1.6. Our data indicate that non-acetylated, poly-D-arginine-derived molecules may represent excellent lead compounds for the development of therapeutically useful furin inhibitors.
Bovine Tuberculosis (bTB) in cattle is a global health problem and eradication of the disease requires accurate estimates of diagnostic test performance to optimize their efficiency. The objective of this study was, through statistical meta-analyses, to obtain estimates of sensitivity (Se) and specificity (Sp), for 14 different ante-mortem and post-mortem diagnostic tests for bTB in cattle. Using data from a systematic review of the scientific literature (published 1934-2009) diagnostic Se and Sp were estimated using Bayesian logistic regression models adjusting for confounding factors. Random effect terms were used to account for unexplained heterogeneity. Parameters in the models were implemented using Markov Chain Monte Carlo (MCMC), and posterior distributions for the diagnostic parameters with adjustment for covariates (confounding factors) were obtained using the inverse logit function. Estimates for Se and/or Sp of the tuberculin skin tests and the IFN-γ blood test were compared with estimates published 2010-2015. Median Se for the single intradermal comparative cervical tuberculin skin (SICCT) test (standard interpretation) was 0.50 and Bayesian credible intervals (CrI) were wide (95% CrI 0.26, 0.78). Median Sp for the SICCT test was 1.00 (95% CrI 0.99, 1.00). Estimates for the IFN-γ blood test Bovine Purified Protein Derivative (PPD)-Avian PPD and Early Secreted Antigen target 6 and Culture Filtrate Protein 10 (ESAT-6/CFP10) ESAT6/CFP10 were 0.67 (95% CrI 0.49, 0.82) and 0.78 (95% CrI 0.60, 0.90) respectively for Se, and 0.98 (95% CrI 0.96, 0.99) and 0.99 (95% CrI 0.99, 1.00) for Sp. The study provides an overview of the accuracy of a range of contemporary diagnostic tests for bTB in cattle. Better understanding of diagnostic test performance is essential for the design of effective control strategies and their evaluation.
Seasonal variation in COVID-19 incidence could impact the trajectory of the pandemic. Using global linelist data on COVID-19 cases reported until 29 th February 2020 and global gridded temperature data, and after adjusting for surveillance capacity and time since first imported case, higher average temperature was strongly associated with lower COVID-19 incidence for temperatures of 1°C and higher. However, temperature explained a relatively modest amount of the total variation in COVID-19 incidence. These preliminary findings support stringent containment efforts in Europe and elsewhere.
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