2023/24 mid-season influenza and Omicron XBB.1.5 vaccine effectiveness estimates from the Canadian Sentinel Practitioner Surveillance Network (SPSN).

The Canadian Sentinel Practitioner Surveillance Network reports mid-season 2023/24 influenza vaccine effectiveness (VE) of 63% (95% CI: 51-72) against influenza A(H1N1)pdm09, lower for clade 5a.2a.1 (56%; 95% CI: 33-71) than clade 5a.2a (67%; 95% CI: 48-80), and lowest against influenza A(H3N2) (40%; 95% CI: 5-61). The Omicron XBB.1.5 vaccine protected comparably well, with VE of 47% (95% CI: 21-65) against medically attended COVID-19, higher among people reporting a prior confirmed SARS-CoV-2 infection at 67% (95% CI: 28-85).

Redefining typhoid diagnosis: what would an improved test need to look like?

INTRODUCTION: Typhoid fever is one of the most common bacterial causes of acute febrile illness in the developing world, with an estimated 10.9 million new cases and 116.8 thousand deaths in 2017. Typhoid point-of-care (POC) diagnostic tests are widely used but have poor sensitivity and specificity, resulting in antibiotic overuse that has led to the emergence and spread of multidrug-resistant strains. With recent advances in typhoid surveillance and detection, this is the ideal time to produce a target product profile (TPP) that guides product development and ensure that a next-generation test meets the needs of users in the resource-limited settings where typhoid is endemic. METHODS: A structured literature review was conducted to develop a draft TPP for a next-generation typhoid diagnostic test with minimal and optimal desired characteristics for 36 test parameters. The TPP was refined using feedback collected from a Delphi survey of key stakeholders in clinical medicine, microbiology, diagnostics and public and global health. RESULTS: A next-generation typhoid diagnostic test should improve patient management through the diagnosis and treatment of infection with acute Salmonella enterica serovars Typhi or Paratyphi with a sensitivity ≥90% and specificity ≥95%. The test would ideally be used at the lowest level of the healthcare system in settings without a reliable power or water supply and provide results in <15 min at a cost of

Differential interactions between statins and P-glycoprotein: implications for exploiting statins as anticancer agents.

Statins, prescribed for decades to control cholesterol, have more recently been shown to have promising anticancer activity. Statins induce tumor-selective apoptosis by inhibiting the mevalonate (MVA) pathway. In addition, we have recently demonstrated that lovastatin modulates drug accumulation in a MVA-independent manner in multidrug-resistant (MDR) tumor cells overexpressing the P-glycoprotein (P-gp) multidrug transporter. P-gp-mediated drug efflux can contribute to chemotherapy failure. However, direct statin-mediated inhibition of P-gp in human MDR tumor cells at clinically achievable concentrations remains unexplored. An understanding of these interactions is crucial, both to appreciate differences in the anticancer potential of different statins and to safely and effectively integrate statins into traditional chemotherapy regimens that include P-gp substrates. Here we evaluate interactions between 4 statins (lovastatin, atorvastatin, fluvastatin and rosuvastatin) and P-gp, at both the molecular level using purified P-gp and at the cellular level using human MDR tumor cells. Lovastatin bound directly to purified P-gp with high affinity and increased doxorubicin accumulation in MDR tumor cells, potentiating DNA damage, growth arrest and apoptosis. By contrast, while atorvastatin inhibited substrate transport by purified P-gp in proteoliposomes, it had no effect on doxorubicin transport in MDR tumor cells. Finally, fluvastatin and rosuvastatin only interacted with P-gp in vitro at high concentrations and did not inhibit doxorubicin transport in MDR cells. These differential interactions should be considered when combining statins with traditional chemotherapeutic drugs.