Interferon signaling in the nasal epithelium distinguishes among lethal and common cold coronaviruses and mediates viral clearance.

All respiratory viruses establish primary infections in the nasal epithelium, where efficient innate immune induction may prevent dissemination to the lower airway and thus minimize pathogenesis. Human coronaviruses (HCoVs) cause a range of pathologies, but the host and viral determinants of disease during common cold versus lethal HCoV infections are poorly understood. We model the initial site of infection using primary nasal epithelial cells cultured at an air-liquid interface (ALI). HCoV-229E, HCoV-NL63, and human rhinovirus-16 are common cold-associated viruses that exhibit unique features in this model: early induction of antiviral interferon (IFN) signaling, IFN-mediated viral clearance, and preferential replication at nasal airway temperature (33 °C) which confers muted host IFN responses. In contrast, lethal SARS-CoV-2 and MERS-CoV encode antagonist proteins that prevent IFN-mediated clearance in nasal cultures. Our study identifies features shared among common cold-associated viruses, highlighting nasal innate immune responses as predictive of infection outcomes and nasally directed IFNs as potential therapeutics.

Infection of primary nasal epithelial cells differentiates among lethal and seasonal human coronaviruses.

The nasal epithelium is the initial entry portal and primary barrier to infection by all human coronaviruses (HCoVs). We utilize primary human nasal epithelial cells grown at air-liquid interface, which recapitulate the heterogeneous cellular population as well as mucociliary clearance functions of the in vivo nasal epithelium, to compare lethal [Severe acute respiratory syndrome (SARS)-CoV-2 and Middle East respiratory syndrome-CoV (MERS-CoV)] and seasonal (HCoV-NL63 and HCoV-229E) HCoVs. All four HCoVs replicate productively in nasal cultures, though replication is differentially modulated by temperature. Infections conducted at 33 °C vs. 37 °C (reflective of temperatures in the upper and lower airway, respectively) revealed that replication of both seasonal HCoVs (HCoV-NL63 and -229E) is significantly attenuated at 37 °C. In contrast, SARS-CoV-2 and MERS-CoV replicate at both temperatures, though SARS-CoV-2 replication is enhanced at 33 °C late in infection. These HCoVs also diverge significantly in terms of cytotoxicity induced following infection, as the seasonal HCoVs as well as SARS-CoV-2 cause cellular cytotoxicity as well as epithelial barrier disruption, while MERS-CoV does not. Treatment of nasal cultures with type 2 cytokine IL-13 to mimic asthmatic airways differentially impacts HCoV receptor availability as well as replication. MERS-CoV receptor DPP4 expression increases with IL-13 treatment, whereas ACE2, the receptor used by SARS-CoV-2 and HCoV-NL63, is down-regulated. IL-13 treatment enhances MERS-CoV and HCoV-229E replication but reduces that of SARS-CoV-2 and HCoV-NL63, reflecting the impact of IL-13 on HCoV receptor availability. This study highlights diversity among HCoVs during infection of the nasal epithelium, which is likely to influence downstream infection outcomes such as disease severity and transmissibility.

Femtomolar SARS-CoV-2 Antigen Detection Using the Microbubbling Digital Assay with Smartphone Readout Enables Antigen Burden Quantitation and Tracking.

BACKGROUND: High-sensitivity severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antigen assays are desirable to mitigate false negative results. Limited data are available to quantify and track SARS-CoV-2 antigen burden in respiratory samples from different populations. METHODS: We developed the Microbubbling SARS-CoV-2 Antigen Assay (MSAA) with smartphone readout, with a limit of detection of 0.5 pg/mL (10.6 fmol/L) nucleocapsid antigen or 4000 copies/mL inactivated SARS-CoV-2 virus in nasopharyngeal (NP) swabs. We developed a computer vision and machine learning-based automatic microbubble image classifier to accurately identify positives and negatives and quantified and tracked antigen dynamics in intensive care unit coronavirus disease 2019 (COVID-19) inpatients and immunocompromised COVID-19 patients. RESULTS: Compared to qualitative reverse transcription-polymerase chain reaction methods, the MSAA demonstrated a positive percentage agreement of 97% (95% CI 92%-99%) and a negative percentage agreement of 97% (95% CI 94%-100%) in a clinical validation study with 372 residual clinical NP swabs. In immunocompetent individuals, the antigen positivity rate in swabs decreased as days-after-symptom-onset increased, despite persistent nucleic acid positivity. Antigen was detected for longer and variable periods of time in immunocompromised patients with hematologic malignancies. Total microbubble volume, a quantitative marker of antigen burden, correlated inversely with cycle threshold values and days-after-symptom-onset. Viral sequence variations were detected in patients with long duration of high antigen burden. CONCLUSIONS: The MSAA enables sensitive and specific detection of acute infections and quantification and tracking of antigen burden and may serve as a screening method in longitudinal studies to identify patients who are likely experiencing active rounds of ongoing replication and warrant close viral sequence monitoring.

Dimeric and trimeric derivatives of the azinomycin B chromophore show enhanced DNA binding.

To explore the utility of the azinomycin B chromophore as a platform for the development of major-groove binding small molecules, we have prepared a series of 3-methoxy-5-methylnaphthalene derivatives containing diamine, triamine, and carbohydrate linker moieties. All bis- and tris-azinomycin derivatives are intercalators that display submicromolar binding affinities for calf-thymus DNA, as revealed by viscometry measurements and fluorescent intercalator displacement (FID) assays, respectively. Although the tightest binding ligand 1d (Ka = 2.42 × 107 M-1) has similar affinities for sequence diverse polynucleotides, competition binding studies with methylated phage DNA and known major and minor groove binding small molecules suggest that the tether moiety linking the naphthalene chromophores may occupy the major groove of DNA.

Improved Culture Methods for Human Coronaviruses HCoV-OC43, HCoV-229E, and HCoV-NL63.

HCoV-OC43, HCoV-229E, HCoV-NL63, and HCoV-HKU1 are four of the seven known human coronaviruses (HCoVs) and, unlike the highly pathogenic SARS-CoV, MERS-CoV, and SARS-CoV-2, these four so-called seasonal HCoVs generally cause mild upper-respiratory-tract illness. As Biosafety Level 2 (BSL-2) pathogens, the seasonal HCoVs are more accessible and can be used as surrogates for studying the highly pathogenic HCoVs. However, scientists have for many years found these difficult to study because of the lack of a universal culture system and the inability of typical culture methods to yield high-titer infectious stocks. We have developed assays to grow and quantify infectious virus and viral RNA for HCoV-OC43, -229E, and -NL63. We identified which immortalized cell lines should be used to optimize the replication of HCoV-OC43, -229E, and -NL63 in order to generate high titers (Vero E6, Huh-7, and LLC-MK2 cells, respectively). Here we present protocols for improved propagation and quantification of each seasonal HCoV. © 2023 Wiley Periodicals LLC. Basic Protocol 1: Growth of HCoVs Basic Protocol 2: Quantification of HCoV by plaque assay Basic Protocol 3: Quantification of HCoV RNA products of replication Basic Protocol 4: Concentrating HCoVs via ultracentrifugation.

Infection of Primary Nasal Epithelial Cells Grown at an Air-Liquid Interface to Characterize Human Coronavirus-Host Interactions.

Three highly pathogenic human coronaviruses (HCoVs) - SARS-CoV (2002), MERS-CoV (2012), and SARS-CoV-2 (2019) - have emerged and caused significant public health crises in the past 20 years. Four additional HCoVs cause a significant portion of common cold cases each year (HCoV-NL63, -229E, -OC43, and -HKU1), highlighting the importance of studying these viruses in physiologically relevant systems. HCoVs enter the respiratory tract and establish infection in the nasal epithelium, the primary site encountered by all respiratory pathogens. We use a primary nasal epithelial culture system in which patient-derived nasal samples are grown at an air-liquid interface (ALI) to study host-pathogen interactions at this important sentinel site. These cultures recapitulate many features of the in vivo airway, including the cell types present, ciliary function, and mucus production. We describe methods to characterize viral replication, host cell tropism, virus-induced cytotoxicity, and innate immune induction in nasal ALI cultures following HCoV infection, using recent work comparing lethal and seasonal HCoVs as an example1. An increased understanding of host-pathogen interactions in the nose has the potential to provide novel targets for antiviral therapeutics against HCoVs and other respiratory viruses that will likely emerge in the future.

The vaccinia virus E3L dsRNA binding protein detects distinct production patterns of exogenous and endogenous dsRNA.

Double-stranded RNA (dsRNA) is a pathogen associated molecular pattern recognized by multiple pattern recognition receptors and induces innate immune responses. Viral infections can generate dsRNA during virus replication. Genetic mutations can also lead to endogenous dsRNA accumulation. DsRNA is present in multiple conformations such as the A form (A-dsRNA) or Z form (Z-dsRNA). A-dsRNA has been detected from multiple viruses with positive-stranded RNA genomes (+ssRNA) but rarely from viruses with negative RNA genomes (-RNA); Z-dsRNA can be detected from influenza virus and poxvirus infections. Viruses have evolved mechanisms to antagonize cellular antiviral responses triggered by dsRNAs. For example, the vaccinia-virus E3L protein can bind and sequester dsRNA to evade host immune responses. The E3L protein encodes a Z-DNA and a dsRNA binding domains that bind to Z-form nucleic acids or dsRNA, respectively. Here we developed recombinant E3L proteins to detect dsRNA and Z-dsRNA generated from viral infections or endogenous cellular mutations. We demonstrate that the E3L recombinant protein specifically detects A-dsRNA generated from +ssRNA viruses but not-RNA viruses. We observe that among various virus infections assayed, only the influenza A virus generates Z-RNA that can be detected by anti-Z-NA antibody but not by the E3L recombinant protein containing the Z-DNA domain. The E3L recombinant protein can also detect endogenous dsRNA in PNPT1 or SUV3L1 knockout cells. Together we concluded that A-dsRNA can be produced and detected from viruses with +ssRNA genomes but not-RNA genomes, and Z-dsRNA can be produced and detected from influenza A virus. Importance: The detection of dsRNAs, which exist in the A-dsRNA or Z-RNA conformation, is important for the induction of innate immune responses. dsRNA are generated during a virus infection due to virus replication, or can accumulate to genetic mutations. We engineered recombinant vaccinia virus E3L protein that can detect A-dsRNA generated during infection with a positive-sense RNA genome virus but not a negative-sense RNA genome virus. Infection with influenza A virus generates Z-RNA that can be detected with an anti-z-antibody but not the E3L recombinant protein. The E3L recombinant protein also detects endogenous dsRNA in PNPT1 or SUV3L knockout cells. These findings highlight important characteristics of dsRNA structure and detection.

Medical Disruptions During Center-Based Cardiac Rehabilitation: A Necessary Appraisal for the Development of Emerging Remote and Virtual Care Models.

PURPOSE: The purpose of this study is to show that with remote and virtual cardiac rehabilitation (CR) care models rapidly emerging, CR core components must be maintained to prioritize safety and effectiveness. Currently, there is a paucity of data on medical disruptions in phase 2 center-based CR (cCR). This study aimed to characterize the frequency and types of unplanned medical disruptions. METHODS: We reviewed 5038 consecutive sessions from 251 patients enrolled in cCR program from October 2018 to September 2021. Quantification of events was normalized to sessions to control for multiple disruptions that occurred to a single patient. A multivariate logistical regression model was used to predict comorbid risk factors for disruptions. RESULTS: Fifty percent of patients experienced one or more disruptions during cCR. Glycemic events (71%) and blood pressure (12%) abnormalities accounted for most of these while symptomatic arrhythmias (8%) and chest pain (7%) were less frequent. Sixty-six percent of events occurred within the first 12 wk. The regression model showed that a diagnosis of diabetes mellitus was the strongest predictor for disruptions (OR = 2.66: 95% CI, 1.57-4.52; P < .0001). CONCLUSIONS: Medical disruptions were frequent during cCR, with glycemic events being most common and occurring early. A diagnosis of diabetes mellitus was a strong independent risk factor for events. This appraisal suggests that patients living with diabetes mellitus, particularly those on insulin, need to be the highest priority for monitoring and planning and suggests that a hybrid care model may be beneficial in this population.

Interferon signaling in the nasal epithelium distinguishes among lethal and common cold respiratory viruses and is critical for viral clearance.

All respiratory viruses establish primary infections in the nasal epithelium, where efficient innate immune induction may prevent dissemination to the lower airway and thus minimize pathogenesis. Human coronaviruses (HCoVs) cause a range of pathologies, but the host and viral determinants of disease during common cold versus lethal HCoV infections are poorly understood. We model the initial site of infection using primary nasal epithelial cells cultured at air-liquid interface (ALI). HCoV-229E, HCoV-NL63 and human rhinovirus-16 are common cold-associated viruses that exhibit unique features in this model: early induction of antiviral interferon (IFN) signaling, IFN-mediated viral clearance, and preferential replication at nasal airway temperature (33°C) which confers muted host IFN responses. In contrast, lethal SARS-CoV-2 and MERS-CoV encode antagonist proteins that prevent IFN-mediated clearance in nasal cultures. Our study identifies features shared among common cold-associated viruses, highlighting nasal innate immune responses as predictive of infection outcomes and nasally-directed IFNs as potential therapeutics.

Infection of primary nasal epithelial cells differentiates among lethal and seasonal human coronaviruses.

The nasal epithelium is the initial entry portal and primary barrier to infection by all human coronaviruses (HCoVs). We utilize primary nasal epithelial cells grown at air-liquid interface, which recapitulate the heterogeneous cellular population as well as mucociliary clearance functions of the in vivo nasal epithelium, to compare lethal (SARS-CoV-2 and MERS-CoV) and seasonal (HCoV-NL63 and HCoV-229E) HCoVs. All four HCoVs replicate productively in nasal cultures but diverge significantly in terms of cytotoxicity induced following infection, as the seasonal HCoVs as well as SARS-CoV-2 cause cellular cytotoxicity as well as epithelial barrier disruption, while MERS-CoV does not. Treatment of nasal cultures with type 2 cytokine IL-13 to mimic asthmatic airways differentially impacts HCoV replication, enhancing MERS-CoV replication but reducing that of SARS-CoV-2 and HCoV-NL63. This study highlights diversity among HCoVs during infection of the nasal epithelium, which is likely to influence downstream infection outcomes such as disease severity and transmissibility.

Femtomolar SARS-CoV-2 Antigen Detection Using the Microbubbling Digital Assay with Smartphone Readout Enables Antigen Burden Quantitation and Dynamics Tracking.

Background: Little is known about the dynamics of SARS-CoV-2 antigen burden in respiratory samples in different patient populations at different stages of infection. Current rapid antigen tests cannot quantitate and track antigen dynamics with high sensitivity and specificity in respiratory samples. Methods: We developed and validated an ultra-sensitive SARS-CoV-2 antigen assay with smartphone readout using the Microbubbling Digital Assay previously developed by our group, which is a platform that enables highly sensitive detection and quantitation of protein biomarkers. A computer vision-based algorithm was developed for microbubble smartphone image recognition and quantitation. A machine learning-based classifier was developed to classify the smartphone images based on detected microbubbles. Using this assay, we tracked antigen dynamics in serial swab samples from COVID patients hospitalized in ICU and immunocompromised COVID patients. Results: The limit of detection (LOD) of the Microbubbling SARS-CoV-2 Antigen Assay was 0.5 pg/mL (10.6 fM) recombinant nucleocapsid (N) antigen or 4000 copies/mL inactivated SARS-CoV-2 virus in nasopharyngeal (NP) swabs, comparable to many rRT-PCR methods. The assay had high analytical specificity towards SARS-CoV-2. Compared to EUA-approved rRT-PCR methods, the Microbubbling Antigen Assay demonstrated a positive percent agreement (PPA) of 97% (95% confidence interval (CI), 92-99%) in symptomatic individuals within 7 days of symptom onset and positive SARS-CoV-2 nucleic acid results, and a negative percent agreement (NPA) of 97% (95% CI, 94-100%) in symptomatic and asymptomatic individuals with negative nucleic acid results. Antigen positivity rate in NP swabs gradually decreased as days-after-symptom-onset increased, despite persistent nucleic acid positivity of the same samples. The computer vision and machine learning-based automatic microbubble image classifier could accurately identify positives and negatives, based on microbubble counts and sizes. Total microbubble volume, a potential marker of antigen burden, correlated inversely with Ct values and days-after-symptom-onset. Antigen was detected for longer periods of time in immunocompromised patients with hematologic malignancies, compared to immunocompetent individuals. Simultaneous detectable antigens and nucleic acids may indicate the presence of replicating viruses in patients with persistent infections. Conclusions: The Microbubbling SARS-CoV-2 Antigen Assay enables sensitive and specific detection of acute infections, and quantitation and tracking of antigen dynamics in different patient populations at various stages of infection. With smartphone compatibility and automated image processing, the assay is well-positioned to be adapted for point-of-care diagnosis and to explore the clinical implications of antigen dynamics in future studies.