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Broad-spectrum antivirals are powerful weapons against dangerous viruses where no specific therapy exists, as in the case of the ongoing SARS-CoV-2 pandemic. We discovered that a lysine- and arginine-specific supramolecular ligand (CLR01) destroys enveloped viruses, including HIV, Ebola, and Zika virus, and remodels amyloid fibrils in semen that promote viral infection. Yet, it is unknown how CLR01 exerts these two distinct therapeutic activities. Here, we delineate a novel mechanism of antiviral activity by studying the activity of tweezer variants: the "phosphate tweezer" CLR01, a "carboxylate tweezer" CLR05, and a "phosphate clip" PC. Lysine complexation inside the tweezer cavity is needed to antagonize amyloidogenesis and is only achieved by CLR01. Importantly, CLR01 and CLR05 but not PC form closed inclusion complexes with lipid head groups of viral membranes, thereby altering lipid orientation and increasing surface tension. This process disrupts viral envelopes and diminishes infectivity but leaves cellular membranes intact. Consequently, CLR01 and CLR05 display broad antiviral activity against all enveloped viruses tested, including herpesviruses, Measles virus, influenza, and SARS-CoV-2. Based on our mechanistic insights, we potentiated the antiviral, membrane-disrupting activity of CLR01 by introducing aliphatic ester arms into each phosphate group to act as lipid anchors that promote membrane targeting. The most potent ester modifications harbored unbranched C4 units, which engendered tweezers that were approximately one order of magnitude more effective than CLR01 and nontoxic. Thus, we establish the mechanistic basis of viral envelope disruption by specific tweezers and establish a new class of potential broad-spectrum antivirals with enhanced activity.

Bacterial ClpB and yeast Hsp104 are homologous Hsp100 protein disaggregases that serve critical functions in proteostasis by solubilizing protein aggregates. Two AAA+ nucleotide binding domains (NBDs) power polypeptide translocation through a central channel comprised of a hexameric spiral of protomers that contact substrate via conserved pore-loop interactions. Here we report cryo-EM structures of a hyperactive ClpB variant bound to the model substrate, casein in the presence of slowly hydrolysable ATPγS, which reveal the translocation mechanism. Distinct substrate-gripping interactions are identified for NBD1 and NBD2 pore loops. A trimer of N-terminal domains define a channel entrance that binds the polypeptide substrate adjacent to the topmost NBD1 contact. NBD conformations at the seam interface reveal how ATP hydrolysis-driven substrate disengagement and re-binding are precisely tuned to drive a directional, stepwise translocation cycle.

During widespread community transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), transmission chains are sometimes unclear. Although often unavailable, viral genome sequencing can complement epidemiologic investigations. In fall 2020, [...]

Background While there are ongoing regulatory convergence efforts, differences remain in primary end points recommended for community-acquired bacterial pneumonia (CABP) trials. The US Food and Drug Administration (FDA) recommends assessing CABP symptom resolution at an early time point (3–5 days after randomization). Other regulatory agencies recommend assessing overall clinical response at a later time point (5–10 days after therapy ends). Methods We analyzed participant-level data from 6 recent CABP trials submitted to the FDA (n = 4645 participants) to evaluate concordance between early and late end-point outcomes. We used multivariate logistic regression to identify factors associated with discordance. Results Early and late end-point outcomes were concordant for 85.6% of participants. The proportions of early end-point responders that ultimately failed and early end-point nonresponders that ultimately succeeded were similar (6.0% vs 8.4%, respectively). Early end-point response was highly predictive of late end-point success (positive predictive value, 92.9%). Multivariate logistic regression identified early end-point responders/late end-point failures as less likely to be obese and more likely to be infected with Chlamydophila pneumoniae or Staphylococcus aureus , have received antibacterial drug therapy prior to randomization, and have severe chest pain at baseline. The most common investigator-provided reasons for failure among early end-point responders/late end-point failures were receipt of nonstudy antibacterial drug therapy and loss to follow-up. Conclusions Early and late end-point outcomes were highly concordant. These data may be useful in the continuing efforts to reach international regulatory convergence on CABP clinical trial design recommendations. [ABSTRACT FROM AUTHOR]

In fall 2020, a coronavirus disease cluster comprising 16 cases occurred in Connecticut, USA. Epidemiologic and genomic evidence supported transmission among persons at a school and fitness center but not a workplace. The multiple transmission chains identified within this cluster highlight the necessity of a combined investigatory approach. [ABSTRACT FROM AUTHOR]

In fall 2020, a coronavirus disease cluster comprising 16 cases occurred in Connecticut, USA. Epidemiologic and genomic evidence supported transmission among persons at a school and fitness center but not a workplace. The multiple transmission chains identified within this cluster highlight the necessity of a combined investigatory approach. [ABSTRACT FROM AUTHOR]

During July–August 2021, a coronavirus disease 2019 (COVID-19) outbreak involving 21 residents (all fully vaccinated) and 10 staff (9 fully vaccinated) occurred in a Connecticut nursing home. The outbreak was likely initiated by a fully vaccinated staff member and propagated by fully vaccinated persons. Prior COVID-19 was protective among vaccinated residents. [ABSTRACT FROM AUTHOR]

Background New drug development for hospital-acquired bacterial pneumonia (HABP) and ventilator-associated bacterial pneumonia (VABP) is critical. Challenges remain in the conduct of HABP/VABP trials, especially in the contexts of enrollment, endpoints, nonstudy antibacterial drug therapy, and antimicrobial resistance. Methods Four Phase 3 noninferiority trials (n = 2433 participants) submitted to the Food and Drug Administration after 2015 were analyzed for enrollment statistics, participant characteristics associated with 28-day all-cause mortality (ACM), microbiology, and receipt of nonstudy antibacterial drugs. All trials primarily enrolled patients with gram-negative bacterial infections. Results The mean trial length was 2.7 years and the mean recruitment rate was 0.17 participants/site/month. ACM at 28 days was 17.1% and was higher among participants diagnosed with ventilated HABP (31.9%) or VABP (19.0%) than nonventilated HABP (9.9%). VABP participants tended to be younger, less likely to have chronic obstructive pulmonary disease, and more likely to have previously sustained an injury. Age, South American residence, diagnosis of ventilated HABP or VABP, and Acinetobacter baumannii infection were all associated with 28-day ACM in a multivariate logistic regression model. Infection by A. baumannii was most common in Eastern European and Asia/Pacific participants, and Eastern European isolates exhibited the highest levels of meropenem resistance. Concomitant nonstudy antibacterial drug therapy most commonly included beta-lactams and was initiated earliest in Western Europe. Conclusion This analysis of recent trials may assist in trial considerations for HABP/VABP development programs and promote needed antibacterial drug development for patients with serious infections. [ABSTRACT FROM AUTHOR]

Background As drug development has globalized, trials have increasingly enrolled participants from all parts of the world rather than just the United States and Western Europe. For antibacterial drug trials, understanding enrollment trends and regional differences is important for generalizability considerations. Methods We retrospectively analyzed 42 phase 3 trials submitted to the US Food and Drug Administration after 2001 for complicated urinary tract infection (cUTI), complicated intra-abdominal infection (cIAI), community-acquired bacterial pneumonia (CABP), and acute bacterial skin and skin structure infection (ABSSSI) (n = 29 282 participants). Enrollment numbers, demographics, clinical characteristics, and microbiological data were compared to identify temporal and geographic trends. Results For cUTI, cIAI, and CABP trials, Eastern European enrollment greatly increased over the study period. For ABSSSI trials, North American enrollment increased. Demographic characteristics and regional microbiology among regions were broadly similar with several exceptions. For cIAI trials, Eastern European participants had the lowest proportion of participants with prior antibacterial drug therapy. For ABSSSI trials, North American participants more commonly reported intravenous drug use. Microbiological differences relative to North America included a greater proportion of Klebsiella pneumoniae among Asian cIAI isolates (17.8% vs 9.0%, P  = .0057), a higher proportion of cephalosporin resistance in South American Enterobacteriaceae cUTI isolates (26.8% vs 15.7%, P  = .044), and a lower proportion of Staphylococcus aureus in Eastern European ABSSSI isolates (43.7% vs 61.9%, P  < .0001). Conclusions Geographic trends in recruitment for recent antibacterial clinical trials differ by indication. Regional similarities in demographic characteristics and microbiology across regions lessen concerns regarding generalizability due to shifting enrollment trends. [ABSTRACT FROM AUTHOR]

We assessed the relationship between municipality COVID-19 case rates and SARS-CoV-2 concentrations in the primary sludge of corresponding wastewater treatment facilities. Over 1700 daily primary sludge samples were collected from six wastewater treatment facilities with catchments serving 18 cities and towns in the State of Connecticut, USA. Samples were analyzed for SARS-CoV-2 RNA concentrations during a 10 month time period that overlapped with October 2020 and winter/spring 2021 COVID-19 outbreaks in each municipality. We fit lagged regression models to estimate reported case rates in the six municipalities from SARS-CoV-2 RNA concentrations collected daily from corresponding wastewater treatment facilities. Results demonstrate the ability of SARS-CoV-2 RNA concentrations in primary sludge to estimate COVID-19 reported case rates across treatment facilities and wastewater catchments, with coverage probabilities ranging from 0.94 to 0.96. Lags of 0 to 1 days resulted in the greatest predictive power for the model. Leave-one-out cross validation suggests that the model can be broadly applied to wastewater catchments that range in more than one order of magnitude in population served. The close relationship between case rates and SARS-CoV-2 concentrations demonstrates the utility of using primary sludge samples for monitoring COVID-19 outbreak dynamics. Estimating case rates from wastewater data can be useful in locations with limited testing availability, testing disparities, or delays in individual COVID-19 testing programs. [ABSTRACT FROM AUTHOR]

Clade I monkeypox virus (MPXV), which can cause severe illness in more people than clade II MPXVs, is endemic in the Democratic Republic of the Congo (DRC), but the country has experienced an increase in suspected cases during 2023-2024. In light of the 2022 global outbreak of clade II mpox, the increase in suspected clade I cases in DRC raises concerns that the virus could spread to other countries and underscores the importance of coordinated, urgent global action to support DRC's efforts to contain the virus. To date, no cases of clade I mpox have been detected outside of countries in Central Africa where the virus is endemic. CDC and other partners are working to support DRC's response. In addition, CDC is enhancing U.S. preparedness by raising awareness, strengthening surveillance, expanding diagnostic testing capacity for clade I MPXV, ensuring appropriate specimen handling and waste management, emphasizing the importance of appropriate medical treatment, and communicating guidance on the recommended contact tracing, containment, behavior modification, and vaccination strategies., Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. Christopher K. Brown reports uncompensated participation on the Prevention, Preparedness, and Response Consortium Training Academy Advisory Board. No other potential conflicts of interest were disclosed.

Early detection of emerging SARS-CoV-2 variants is critical to guiding rapid risk assessments, providing clear and timely communication messages, and coordinating public health action. CDC identifies and monitors novel SARS-CoV-2 variants through diverse surveillance approaches, including genomic, wastewater, traveler-based, and digital public health surveillance (e.g., global data repositories, news, and social media). The SARS-CoV-2 variant BA.2.86 was first sequenced in Israel and reported on August 13, 2023. The first U.S. COVID-19 case caused by this variant was reported on August 17, 2023, after a patient received testing for SARS-CoV-2 at a health care facility on August 3. In the following month, eight additional U.S. states detected BA.2.86 across various surveillance systems, including specimens from health care settings, wastewater surveillance, and traveler-based genomic surveillance. As of October 23, 2023, sequences have been reported from at least 32 countries. Continued variant tracking and further evidence are needed to evaluate the full public health impact of BA.2.86. Timely genomic sequence submissions to global public databases aided early detection of BA.2.86 despite the decline in the number of specimens being sequenced during the past year. This report describes how multicomponent surveillance and genomic sequencing were used in real time to track the emergence and transmission of the BA.2.86 variant. This surveillance approach provides valuable information regarding implementing and sustaining comprehensive surveillance not only for novel SARS-CoV-2 variants but also for future pathogen threats., Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.

Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. Andrew P. Rothstein, Casandra W. Philipson, Birgitte B. Simen, and Robert C. Morfino own Ginkgo Bioworks employee stocks or restricted stock unit grants. Ezra T. Ernst owns XWELL employee stocks or restricted stock unit grants. No other potential conflicts of interest were disclosed.

Beginning December 6, 2021, all international air passengers boarding flights to the United States were required to show either a negative result from a SARS-CoV-2 viral test taken ≤1 day before departure or proof of recovery from COVID-19 within the preceding 90 days (1). As of June 12, 2022, predeparture testing was no longer mandatory but remained recommended by CDC (2,3). Various modeling studies have estimated that predeparture testing the day before or the day of air travel reduces transmission or importation of SARS-CoV-2 by 31%-76% (4-7). Postarrival SARS-CoV-2 pooled testing data from CDC's Traveler-based Genomic Surveillance program were used to compare SARS-CoV-2 test results among volunteer travelers arriving at four U.S. airports during two 12-week periods: March 20-June 11, 2022, when predeparture testing was required, and June 12-September 3, 2022, when predeparture testing was not required. In a multivariable logistic regression model, pooled nasal swab specimens collected during March 20-June 11 were 52% less likely to be positive for SARS-CoV-2 than were those collected during June 12-September 3, after adjusting for COVID-19 incidence in the flight's country of origin, sample pool size, and collection airport (adjusted odds ratio [aOR] = 0.48, 95% CI = 0.39-0.58) (p<0.001). These findings support predeparture testing as a tool for reducing travel-associated SARS-CoV-2 transmission and provide important real-world evidence that can guide decisions for future outbreaks and pandemics., Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. Benjamin H. Rome, Siyao Lisa Li, Thomas W.S. Aichele, and Robert C. Morfino are employed by Ginkgo Bioworks and own Ginkgo Bioworks employee stocks or restricted stock units (RSU) grants. Ezra T. Ernst is employed by XWELL and owns XWELL employee stocks or RSU grants. No other potential conflicts of interest were disclosed.

We assessed the relationship between municipality COVID-19 case rates and SARS-CoV-2 concentrations in the primary sludge of corresponding wastewater treatment facilities. Over 1700 daily primary sludge samples were collected from six wastewater treatment facilities with catchments serving 18 cities and towns in the State of Connecticut, USA. Samples were analyzed for SARS-CoV-2 RNA concentrations during a 10 month time period that overlapped with October 2020 and winter/spring 2021 COVID-19 outbreaks in each municipality. We fit lagged regression models to estimate reported case rates in the six municipalities from SARS-CoV-2 RNA concentrations collected daily from corresponding wastewater treatment facilities. Results demonstrate the ability of SARS-CoV-2 RNA concentrations in primary sludge to estimate COVID-19 reported case rates across treatment facilities and wastewater catchments, with coverage probabilities ranging from 0.94 to 0.96. Lags of 0 to 1 days resulted in the greatest predictive power for the model. Leave-one-out cross validation suggests that the model can be broadly applied to wastewater catchments that range in more than one order of magnitude in population served. The close relationship between case rates and SARS-CoV-2 concentrations demonstrates the utility of using primary sludge samples for monitoring COVID-19 outbreak dynamics. Estimating case rates from wastewater data can be useful in locations with limited testing availability, testing disparities, or delays in individual COVID-19 testing programs., (© The Author(s) 2022. Published by Oxford University Press on behalf of FEMS.)

Residents of long-term care facilities (LTCFs), particularly those in skilled nursing facilities (SNFs), have experienced disproportionately high levels of COVID-19-associated morbidity and mortality and were prioritized for early COVID-19 vaccination (1,2). However, this group was not included in COVID-19 vaccine clinical trials, and limited postauthorization vaccine effectiveness (VE) data are available for this critical population (3). It is not known how well COVID-19 vaccines protect SNF residents, who typically are more medically frail, are older, and have more underlying medical conditions than the general population (1). In addition, immunogenicity of the Pfizer-BioNTech vaccine was found to be lower in adults aged 65-85 years than in younger adults (4). Through the CDC Pharmacy Partnership for Long-Term Care Program, SNF residents and staff members in Connecticut began receiving the Pfizer-BioNTech COVID-19 vaccine on December 18, 2020 (5). Administration of the vaccine was conducted during several on-site pharmacy clinics. In late January 2021, the Connecticut Department of Public Health (CT DPH) identified two SNFs experiencing COVID-19 outbreaks among residents and staff members that occurred after each facility's first vaccination clinic. CT DPH, in partnership with CDC, performed electronic chart review in these facilities to obtain information on resident vaccination status and infection with SARS-CoV-2, the virus that causes COVID-19. Partial vaccination, defined as the period from >14 days after the first dose through 7 days after the second dose, had an estimated effectiveness of 63% (95% confidence interval [CI] = 33%-79%) against SARS-CoV-2 infection (regardless of symptoms) among residents within these SNFs. This is similar to estimated effectiveness for a single dose of the Pfizer-BioNTech COVID-19 vaccine in adults across a range of age groups in noncongregate settings (6) and suggests that to optimize vaccine impact among this population, high coverage with the complete 2-dose series should be recommended for SNF residents and staff members., Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.