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COVID-19 caused by the SARS-CoV-2 virus has become a global pandemic. 3CL protease is a virally encoded protein that is essential across a broad spectrum of coronaviruses with no close human analogs. PF-00835231, a 3CL protease inhibitor, has exhibited potent in vitro antiviral activity against SARS-CoV-2 as a single agent. Here we report, the design and characterization of a phosphate prodrug PF-07304814 to enable the delivery and projected sustained systemic exposure in human of PF-00835231 to inhibit coronavirus family 3CL protease activity with selectivity over human host protease targets. Furthermore, we show that PF-00835231 has additive/synergistic activity in combination with remdesivir. We present the ADME, safety, in vitro, and in vivo antiviral activity data that supports the clinical evaluation of PF-07304814 as a potential COVID-19 treatment. The 3CL protease of SARS-CoV-2 is inhibited by PF-00835231 in vitro. Here, the authors show that the prodrug PF-07304814 has broad spectrum activity, inhibiting SARS-CoV and SARS-CoV-2 in mice and its ADME and safety profile support clinical development.

Using data from digitized weekly surveillance reports of notifiable diseases for U.S. cities and states for 1888 through 2011, the authors derived a quantitative history of disease reduction in the United States, focusing particularly on the effects of vaccination programs. Public health programs — especially vaccination programs — have led to dramatic declines in the incidence of contagious diseases in the United States over the past century. 1 – 3 However, some contagious diseases are now on the rise despite the availability of vaccines. Pertussis vaccines have been available since the 1920s, but the worst pertussis epidemic since 1959 occurred in 2012, with more than 38,000 cases nationwide reported by last December. 4 , 5 Outbreaks of measles also continue to occur, even though a measles vaccine has been licensed in the United States since 1963. 6 The current low overall incidence of contagious diseases . . .

Several hydroxysteroid dehydrogenase 17-beta 13 variants have previously been identified as protective against metabolic dysfunction-associated steatohepatitis (MASH) fibrosis, ballooning and inflammation, and as such this target holds significant therapeutic potential. However, over 5 years later, the function of 17B-HSD13 remains unknown. Structure-aided design enables the development of potent and selective sulfonamide-based 17B-HSD13 inhibitors. In order to probe their inhibitory potency in endogenous expression systems like primary human hepatocytes, inhibitors are transformed into synthetic surrogate substrates with distinct selectivity advantages over substrates previously published. Their application to cells endogenously expressing 17B-HSD13 enables quantitative measures of enzymatic inhibition in primary human hepatocytes which has never been reported to date. Application to multiple cellular systems expressing the protective human variants reveals that the most prevalent IsoD variant maintains NAD-dependent catalytic activity towards some but not all substrates, contradicting reports that the truncation results in loss-of-function. Several 17B-HSD13 variants have been identified as protective against NASH/MASH. However the protein’s endogenous function is unknown. Here authors describe sulfonamide-based inhibitors and synthetic substrates, then apply to multiple cellular systems revealing that the most prevalent IsoD variant maintains NAD-dependent catalytic activity.

Background Women with bipolar disorder (BD) are at high risk for postpartum affective episodes and psychosis. Although validated screening tools are available for postpartum unipolar depression, few screening tools for hypomania/mania exist. Screening tools for BD in the postpartum period are essential for improving detection and planning appropriate treatment. We evaluated whether adding the Mood Disorders Questionnaire (MDQ) to the Edinburgh Postnatal Depression Scale (EPDS) increased the identification of BD in the early postpartum period. Methods Women (N = 1,279) who delivered a live infant and screened positive on the EPDS and/or MDQ at 4–6 weeks postbirth were invited to undergo an in‐home Structured Clinical Interview for DSM‐IV (SCID). Results Positive EPDS and/or MDQ screens occurred in 12% of the sample (n = 155). In home SCID diagnostic interviews were completed in 93 (60%) of the mothers with positive screens. BD was the primary diagnosis in 37% (n = 34). Women with BD screened positive on the EPDS and/or MDQ as follows: EPDS+/MDQ+ (n = 14), EPDS+/MDQ‐ (n = 17), and EPDS‐/MDQ+ (n = 3). The MDQ identified 50% (17/34) of the women with BD and 6 additional cases of BD when the MDQ question regarding how impaired the mother perceived herself was excluded from the screen criterion. Conclusion Addition of the MDQ to the EPDS improved the distinction of unipolar depression from bipolar depression at the level of screening in 50% of women with traditional MDQ scoring and by nearly 70% when the MDQ was scored without the impairment criterion.

During the 2013–2014 influenza season, we analyzed data from 6004 outpatients aged ≥6 months with acute respiratory illness (ARI). Among the 2786 ARI patients at higher risk for influenza complications, 835 (30%) presented to care ≤2 days from symptom onset; among those, 126 (15%) were prescribed an antiviral medication.

Background While it is known that acute respiratory illness (ARI) is caused by an array of viruses, less is known about co-detections and the resultant comparative symptoms and illness burden. This study examined the co-detections, the distribution of viruses, symptoms, and illness burden associated with ARI between December 2012 and March 2013. Methods Outpatients with ARI were assayed for presence of 18 viruses using multiplex reverse transcriptase polymerase chain reaction (MRT-PCR) to simultaneously detect multiple viruses. Results Among 935 patients, 60% tested positive for a single virus, 9% tested positive for ≥1 virus and 287 (31%) tested negative. Among children (<18 years), the respective distributions were 63%, 14%, and 23%; whereas for younger adults (18–49 years), the distributions were 58%, 8%, and 34% and for older adults (≥50 years) the distributions were 61%, 5%, and 32% ( P  < 0.001). Co-detections were more common in children than older adults ( P  = 0.01), and less frequent in households without children ( P  = 0.003). Most frequently co-detected viruses were coronavirus, respiratory syncytial virus, and influenza A virus. Compared with single viral infections, those with co-detections less frequently reported sore throat ( P  = 0.01), missed fewer days of school (1.1 vs. 2 days; P  = 0.04), or work (2 vs. 3 days; P  = 0.03); other measures of illness severity did not vary. Conclusions Among outpatients with ARI, 69% of visits were associated with a viral etiology. Co-detections of specific clusters of viruses were observed in 9% of ARI cases particularly in children, were less frequent in households without children, and were less symptomatic (e.g., lower fever) than single infections.

Abstract Background The severity of the 2017–2018 influenza season in the United States was high, with influenza A(H3N2) viruses predominating. Here, we report influenza vaccine effectiveness (VE) and estimate the number of vaccine-prevented influenza-associated illnesses, medical visits, hospitalizations, and deaths for the 2017–2018 influenza season. Methods We used national age-specific estimates of 2017–2018 influenza vaccine coverage and disease burden. We estimated VE against medically attended reverse-transcription polymerase chain reaction–confirmed influenza virus infection in the ambulatory setting using a test-negative design. We used a compartmental model to estimate numbers of influenza-associated outcomes prevented by vaccination. Results The VE against outpatient, medically attended, laboratory-confirmed influenza was 38% (95% confidence interval [CI], 31%–43%), including 22% (95% CI, 12%–31%) against influenza A(H3N2), 62% (95% CI, 50%–71%) against influenza A(H1N1)pdm09, and 50% (95% CI, 41%–57%) against influenza B. We estimated that influenza vaccination prevented 7.1 million (95% CrI, 5.4 million–9.3 million) illnesses, 3.7 million (95% CrI, 2.8 million–4.9 million) medical visits, 109 000 (95% CrI, 39 000–231 000) hospitalizations, and 8000 (95% credible interval [CrI], 1100–21 000) deaths. Vaccination prevented 10% of expected hospitalizations overall and 41% among young children (6 months–4 years). Conclusions Despite 38% VE, influenza vaccination reduced a substantial burden of influenza-associated illness, medical visits, hospitalizations, and deaths in the United States during the 2017–2018 season. Our results demonstrate the benefit of current influenza vaccination and the need for improved vaccines. During the 2017–2018 influenza season, we estimate that influenza vaccination reduced the risk of medically attended influenza by 38% and prevented 7 million illnesses, 4 million medical visits, 109 000 hospitalizations, and 8000 deaths in the United States.

Abstract Background In recent influenza seasons, the effectiveness of inactivated influenza vaccines against circulating A(H3N2) virus has been lower than against A(H1N1)pdm09 and B viruses, even when circulating viruses remained antigenically similar to vaccine components. Methods During the 2016–2017 influenza season, vaccine effectiveness (VE) across age groups and vaccine types was examined among outpatients with acute respiratory illness at 5 US sites using a test-negative design that compared the odds of vaccination among reverse transcription polymerase chain reaction–confirmed influenza positives and negatives. Results Among 7083 enrollees, 1342 (19%) tested positive for influenza A(H3N2), 648 (9%) were positive for influenza B (including B/Yamagata, n = 577), and 5040 (71%) were influenza negative. Vaccine effectiveness was 40% (95% confidence interval [CI], 32% to 46%) against any influenza virus, 33% (95% CI, 23% to 41%) against influenza A(H3N2) viruses, and 53% (95% CI, 43% to 61%) against influenza B viruses. Conclusions The 2016–2017 influenza vaccines provided moderate protection against any influenza among outpatients but were less protective against influenza A(H3N2) viruses than B viruses. Approaches to improving effectiveness against A(H3N2) viruses are needed. The 2016–2017 influenza vaccines provided moderate protection against any influenza among outpatients but were less protective against influenza A(H3N2) viruses than B viruses.

•Influenza vaccine effectiveness is typically estimated using the test negative design.•Data for VE estimates may be derived from administrative or research databases.•Comparing these data sources results in insignificant differences in VE estimates.•Advantages of administrative databases are lower cost and potentially faster results.•Advantages of research databases are less selection bias and more complete data. In some settings, research methods to determine influenza vaccine effectiveness (VE) may not be appropriate because of cost, time constraints, or other factors. Administrative database analysis of viral testing results and vaccination history may be a viable alternative. This study compared VE estimates from outpatient research and administrative databases. Using the test-negative, case-control design, data for 2017–2018 and 2018–2019 influenza seasons were collected using: 1) consent, specimen collection, RT-PCR testing and vaccine verification using multiple methods; and 2) an administrative database of outpatients with a clinical respiratory viral panel combined with electronic immunization records. Odds ratios for likelihood of influenza infection by vaccination status were calculated using multivariable logistic regression. VE = (1 − aOR) × 100. Research participants were significantly younger (P < 0.001), more often white (69% vs. 59%; P < 0.001) than non-white and less frequently enrolled through the emergency department (35% vs. 72%; P < 0.001) than administrative database participants. VE was significant against all influenza and influenza A in each season and both seasons combined (37–49%). Point estimate differences between methods were evident, with higher VE in the research database, but insignificant due to low sample sizes. When enrollment sites were separately analyzed, there were significant differences in VE estimates for all influenza (66% research vs. 46% administrative P < 0.001) and influenza A (67% research vs. 49% administrative; P < 0.001) in the emergency department. The selection of the appropriate method for determining influenza vaccine effectiveness depends on many factors, including sample size, subgroups of interest, etc., suggesting that research estimates may be more generalizable. Other advantages of research databases for VE estimates include lack of clinician-related selection bias for testing and less misclassification of vaccination status. The advantages of the administrative databases are potentially shorter time to VE results and lower cost.

Abstract Background Evidence establishing effectiveness of influenza vaccination for prevention of severe illness is limited. The US Hospitalized Adult Influenza Vaccine Effectiveness Network (HAIVEN) is a multiyear test-negative case-control study initiated in 2015–2016 to estimate effectiveness of vaccine in preventing influenza hospitalization among adults. Methods Adults aged ≥18 years admitted to 8 US hospitals with acute respiratory illness and testing positive for influenza by polymerase chain reaction were cases; those testing negative were controls. Vaccine effectiveness was estimated with logistic regression adjusting for age, comorbidities, and other confounding factors and stratified by frailty, 2-year vaccination history, and clinical presentation. Results We analyzed data from 236 cases and 1231 controls; mean age was 58 years. More than 90% of patients had ≥1 comorbidity elevating risk of influenza complications. Fifty percent of cases and 70% of controls were vaccinated. Vaccination was 51% (95% confidence interval [CI], 29%–65%) and 53% (95% CI, 11%–76%) effective in preventing hospitalization due to influenza A(H1N1)pdm09 and influenza B virus infection, respectively. Vaccine was protective for all age groups. Conclusions During the 2015–2016 US influenza A(H1N1)pdm09–predominant season, we found that vaccination halved the risk of influenza-association hospitalization among adults, most of whom were at increased risk of serious influenza complications due to comorbidity or age. During the 2015–2016 US influenza A(H1N1)pdm09–predominant season, we found that vaccination halved the risk of influenza-association hospitalization among adults, most of whom were at increased risk of serious influenza complications due to comorbidity or age.