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Background: Remdesivir (RDV) is a broad-spectrum nucleotide analog antiviral approved for the treatment of COVID-19 in patients who are hospitalized or non-hospitalized and at risk of progressing to severe disease. Here we present SARS-CoV-2 resistance analyses from the Phase 3 PINETREE trial. Method(s): PINETREE was a double-blind, placebo-controlled trial of nonhospitalized participants (N=562) with COVID-19 and >=1 risk factor for disease progression, randomized to receive RDV or placebo once-daily for 3 days. The whole genome of SARS-CoV-2 was sequenced from nasopharyngeal swabs collected at days 1 (baseline), 2, 3, 7, and 14 using next-generation sequencing. Emergent amino acid substitutions in SARS-CoV-2 from participants treated with RDV were tested in a replicon system to determine if they alter sensitivity to RDV. Result(s): Resistance analysis criteria included all participants in the RDV group and 50% in the placebo group with viral load above the lower limit of detection for the viral load assay. Of 281 participants who met these criteria, baseline and postbaseline sequencing data were available for 115/130 (88.5%) participants in the RDV group and 129/151 (85.4%) participants in the placebo group (Table 1). Among these, emergent substitutions in Nsp12 were observed in 8/115 (7.0%) in the RDV group and 7/129 (5.4%) in the placebo group. A total of 7 emergent amino acid substitutions in Nsp12 were observed in the RDV group, but not in the placebo group. Among these, only one substitution from one participant (A376V;first detected at day 14), showed reduced in vitro susceptibility to RDV, with a half-maximal effective concentration (EC50) fold-change of 12.6 compared with a wildtype reference. The participant achieved clinical recovery by day 14. None of the other substitutions impacted RDV susceptibility (EC50 fold-change <=1.4). Emergent substitutions in Nsp8, Nsp10, Nsp13, or Nsp14 were detected in 10/115 (8.7%) of participants in the RDV group and 10/129 (7.8%) in the placebo group, with substitutions in the RDV group showing similar susceptibility to RDV as the wildtype reference (EC50 fold-change <=2.3). Conclusion(s): Overall, emergent substitutions in the SARS-CoV-2 replication complex including Nsp12 were observed with similar frequency in the RDV and placebo groups, with only one participant developing a substitution associated with reduced in vitro RDV susceptibility, indicating a high barrier to the development of RDV resistance in COVID-19 patients.
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Background: Recent SARS-CoV-2 variants of concern (VOCs) have shown a progressive loss of sensitivity to monoclonal antibody therapeutics. Remdesivir (RDV) is a nucleotide analog prodrug that targets the viral RNA-dependent RNA polymerase (RdRp) Nsp12 and is approved to treat COVID-19 in hospitalized and non-hospitalized patients. Nsp12 is highly conserved across VOCs to date and RDV antiviral activity against previous VOCs (Alpha to Omicron BA.1) has been maintained. Here, we conduct a structural analysis of Nsp12 substitutions observed in recent Omicron subvariants (BA.2, BA.2.12.1, BA.4, BA.5 and BA.2.75) and assess RDV antiviral activity against clinical isolates and sitedirected mutants (SDMs) in a replicon system. Method(s): The prevalence of Nsp12 substitutions in Omicron subvariants was evaluated by analysis of sequences from the Global Initiative on Sharing Avian Influenza Data (GISAID) EpiCoV database. Structural analysis of identified substitutions was conducted on a prior cryo-electron microscopy-based model of the replication-transcription complex. Antiviral activity against subvariant clinical isolates was assessed by nucleoprotein ELISA in A549-hACE2-TMPRSS2 cells and by SDMs in the replicon system. Result(s): Genomic analysis of >1.4 million Omicron subvariant sequences revealed unique substitutions in Nsp12 compared to the ancestral WA1 strain. Besides P323L, present in all subvariants, G671S was observed in 95.9% of BA.2.75 sequences, F694Y was observed in <=1.9% of BA.4, BA.5 and BA.2.75 sequences, and Y521C was observed in 1.7% of BA.5 sequences. As anticipated, structural analysis of these substitutions showed no direct interaction with the incoming RDV nucleotide triphosphate or the viral RNA. Phenotyping of clinical isolates of Omicron subvariants BA.2, BA.2.12.1, BA.4, BA.5, and BA.2.75 consistently resulted in mean RDV EC50 values of 24.5 nM (BA.2) to 106.0 nM (BA.5). This represented 0.15-to 0.66-fold changes compared to WA1, indicating no loss of in vitro RDV antiviral activity against these VOCs. P323L, G671S, and F694Y were shown previously to have no impact on RDV antiviral activity. Similarly, the individual substitution Y521C showed no change in RDV susceptibility in the SARS-CoV-2 replicon system. Conclusion(s): RDV retained potent in vitro antiviral activity against all tested Omicron VOCs with potencies comparable to the WA1 isolate. These data support the continued use of RDV in patients infected with Omicron subvariants.
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The COVID-19 pandemic transformed many aspects of health and daily life. A subset of people who were infected with the virus have ongoing chronic health issues that range in type of symptom and severity. In this study, we conducted a qualitative assessment of self-reported post-COVID symptoms from patients' electronic health records (EHR, n=564) and a randomized collection of Reddit and Twitter posts (n=500 for each). We show the inconsistencies in what types of symptoms are shared between platforms in addition to assessing the severity of the symptoms and how social media characterizations of post-COVID do not tell a complete story of this phenomenon. This research contributes to CSCW health literature by connecting digital traces of post-COVID with EHR data, critiquing the use of social media as a health proxy and points to its potential to add context to the analysis of traditional health data extracted from the EHR. © 2023 ACM.
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Background: Immunocompromised persons are disproportionately affected by severe SARS-CoV-2 infection, but immune compromise is heterogenous, which may impact viral dynamics. We hypothesized that higher degrees of compromised immunity are associated with higher viral shedding and slower viral clearance in the absence of COVID-19 therapeutics. Method(s): Participants enrolled in ACTIV-2/A5401, a platform trial for COVID-19 therapeutics in non-hospitalized adults within 10 days of symptom onset, received either an active treatment or placebo between 8/2020 and 7/2021. Participants were categorized based on the extent of immunosuppression into none, mild, moderate and severe categories at enrollment (day 0). Longitudinal anterior nasal (AN) and plasma SARS-CoV-2 levels were measured with a quantitative PCR assay. Regression models assessed associations between immunocompromise severity and viral levels (VL) at day 0, and longitudinally among those on placebo with quantifiable RNA at day 0. Multivariate analyses adjusted for demographics and symptom duration and vaccination status at day 0. Result(s): Immunocompromised (mild 383, moderate 159, severe 35) and immunocompetent (1956) participants had comparable symptom durations at day 0 (median 6 days) and most were unvaccinated (~95%). AN VL at day 0 was higher in the moderate/severe group compared to the immunocompetent group (adjusted difference in means: 0.47 log10 copies/mL, 95% CI 0.12, 0.83). While AN VL decayed at similar rates among all groups from day 0 to 3, there was a trend towards higher cumulative AN VLs across the 28-day follow-up in the moderate/severe group compared to immunocompetent group (adjusted fold difference in VL AUC 1.63, 95%CI 0.95, 2.77). The mild group showed no differences in day 0 VL or AUC compared to the immunocompetent group. The frequency of detectable plasma SARS-CoV-2 RNA was similar at day 0 across all groups (overall 21%), but there appeared to be a higher proportion of immunocompromised participants with detectable plasma viral RNA at day 7 (moderate/severe 2/23 [9%], mild 5/44 [11%]) compared to the immunocompetent group (8/282, 3%). Conclusion(s): Before emergence of Omicron and widespread vaccination, moderate/severe immunocompromised status was associated with higher nasal viral levels at study enrollment and showed a trend towards higher cumulative AN viral load, and all immunocompromised groups appeared to have more persistent plasma viremia during follow-up.
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SARS-CoV-2 viral rebound after treatment with nirmatrelvir-ritonavir is an area of ongoing concern for both patients and providers. However, viral rebound has been described both during and after treatment with other antiviral therapies as well. It also appears that viral and symptom rebound can occur in the absence of antiviral therapy, especially in the immunosuppressed patient population. In this presentation, we will review the pathogenesis and risk factors for viral rebound during and after SARS-CoV-2 treatment. We will also explore the clinical and transmission risk of viral rebound and potential management strategies.
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Neutrophils play an important role in infectious diseases by clearing pathogens in the early stages of the disease and damaging the surrounding tissues along with the disease progress. Low-density neutrophils (LDNs) are a crucial and distinct subpopulation of neutrophils. They are a mixture of activated and degranulated normal mature neutrophils and a considerable number of immature neutrophils prematurely released from the bone marrow. Additionally, they may be involved in the occurrence and development of diseases through the changes in phagocytosis, the generation of reactive oxygen species (ROS), the enhancement of the ability to produce neutrophils extracellular traps and immunosuppression. We summarizes the role of LDNs in the pathogenesis and their correlation with the severity of infectious diseases such as COVID-19, severe fever with thrombocytopenia syndrome (SFTS), AIDS, and tuberculosis.
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This article reviews the major advances in acupuncture research in 2022, including clinical reports, basic research, and reviews. In terms of the type of literature, most of them are systematic reviews and clinical trials, while high-quality basic studies can also be found. The innovative inventions and researches in this field are of increasing quality and in a wide range of fields, acupuncture is attracting more and more attention in the international arena. In particular, some acupuncture combined sensors such as H2 -EC/SD co-therapy, precise positioning, and vivo monitoring of neurotransmitter has been used for oncological diseases and neuropathic pain. Acupuncture has been shown to be beneficial in the treatment of pain, stroke, psychiatric disorders, cancer, COVID-19 and others. Most of the studies show that acupuncture can play a positive role in various diseases and provide evidence for clinical applications and mechanism research.Copyright © 2023 By Author(s). Published by TMR Publishing Group Limited.
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Objective To understand the epidemiological characteristics of COVID-19 in Shaanxi Province from December 9, 2021 to January 20, 2022, and analyze the factors influencing the interval from isolation to diagnosis. Methods We collected the data of local COVID-19 cases from December 9, 2021 to January 20, 2022 published on the official website of Health Commission of Shaanxi Province. Descriptive statistical method was used to analyze the epidemiological characteristics of COVID-19 in Shaanxi Province. Mann-Whitney U test and Kruskal-Wallis H test were used to compare the differences between groups. The unconditional Logistic regression model was applied to analyze the factors influencing the interval between isolation and diagnosis. Results The outbreak of COVID-19 in Shaanxi Province started on December 9, 2021 and ended on January 20, 2022. The overall change trend of the outbreak showed an "inverted V" shape. A total of 2,080 confirmed local cases were reported, and the main type of disease was mild, with an incidence rate of 5.26/100,000. Xi'an had the most cases, accounting for 98. 69% of the total. The reported cases were mainly concentrated in people aged 21 to 55 years old, with a male-to-female sex ratio of 1.19:1. The median interval from isolation to diagnosis was 3 days, the shortest interval being 0 day and the longest interval being 21 days. Unconditional Logistic regression model analysis showed that the way of finding cases was the factor influencing the interval from isolation to diagnosis. Compared with the way of isolation of the key population, the way of the nucleic acid screening could reduce the risk of late detection of confirmed cases by 89% (OR = 0.11, 95% CI: 0. 07 - 0.16). Conclusion The way of finding cases is the factor influencing the interval from isolation to diagnosis. In the face of the recent intensification of the spread of Omicron variant in mainland China, accurate and rapid identification and detection of confirmed cases can not only reduce the risk of the spread of the epidemic, but also endeavor more time and initiative for the treatment of patients, which is the key to curbing the spread of the epidemic.Copyright © 2023 Xi'an Medical University. All rights reserved.
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Background: Reliable biomarkers of COVID-19 severity and outcomes are critically needed for clinical and research applications. We evaluated associations between anti-Spike IgG and SARS-COV-2 nucleocapsid antigen (N Ag) in plasma with clinical outcomes in outpatients with COVID-19. Method(s): We used data from 229 non-hospitalized, US-based adults with COVID-19 who enrolled between January and July 2021 into the placebo arm of the ACTIV-2/A5401 platform trial within 10 days of symptom onset. Pretreatment (day 0) plasma was analyzed by the quantitative Simoa SARS-CoV-2 IgG antibody (anti-Spike) assay (lower limit of quantification [LLoQ] 0.77ug/ mL), and the quantitative Simoa SARS-CoV-2 N Protein Advantage (Quanterix) measuring N Ag (LLoQ 3pg/mL). In addition to analyses for < LLoQ vs >=LLoQ anti-Spike and N Ag, we categorized participants into five N Ag groups (< 3 pg/ml;3-< 100 pg/ml;100-< 1,000 pg/ml;1,000-< 2,500 pg/ml;>=2,500 pg/ ml). Associations between SARS-CoV-2 anti-Spike and N Ag levels and clinical outcomes (all-cause hospitalization/death through day 28 and time to symptom improvement or resolution for two consecutive days from day 0 status) were estimated using log-binomial and Cox regression models, respectively. Result(s): At day 0, 40% had anti-Spike levels >=LLoQ and 64% of participants had plasma N Ag levels >=LLoQ. Participants with anti-Spike levels < LLoQ compared to those who had quantifiable anti-Spike at day 0, had an increased risk of hospitalization/death (16% vs 2%, RR [95% confidence interval (CI)]: 7.3 [1.8, 30.1]), and a significantly longer time to symptom improvement (median [Q1, Q3] 14 days [8, >27] vs 9 days [4, 16], hazard ratio [HR]: 0.6 [95%: CI: 0.4, 0.8], p< 0.001). Participants with higher N Ag levels at day 0 had an increased risk of hospitalization or death, ranging from 1% for < 3 pg/ml to 70% for >=2500 pg/ml (Figure). Compared to individuals who had N Ag levels < LLoQ at day 0, those in the highest category of N Ag levels (>=2500 pg/mL) experienced a significantly longer time to symptom improvement (median [Q1, Q3]: 25 days [13, >27] vs 10 days [5, 20];HR: 0.4 [95% CI: 0.2, 0.7];p=0.04). Conclusion(s): At study entry, the absence of Spike antibodies and higher levels of plasma SARS-CoV-2 N Ag predicted hospitalizations and death in untreated outpatients with COVID-19. These parameters may serve as informative biomarkers for risk stratification in the evaluation of outpatients with COVID-19. (Figure Presented).
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Background: SARS-CoV-2 variants resistant to monoclonal antibodies, and drug-drug interactions and potential mutagenicity of direct acting antivirals, heightens the need for additional therapeutics to prevent progression to severe COVID-19. Exogenous interferon beta is a promising therapeutic option against SARS-CoV-2 given its broad-spectrum antiviral activity and data suggesting impaired endogenous IFN production in individuals with severe disease. Method(s): The safety and efficacy of orally inhaled nebulized interferon-beta1a (SNG001) was evaluated in a Phase II randomized controlled trial on the ACTIV-2/ A5401 platform (NCT04518410). Adult outpatients with confirmed SARS-CoV-2 infection within 10 days of symptom onset were randomized to SNG001 once daily for 14 days or blinded pooled placebo. Primary outcomes included treatment-emergent Grade >=3 adverse event (TEAE) through day 28;time to symptom improvement of 13 targeted COVID-19 symptoms collected by daily study diary through day 28;and SARS-CoV-2 RNA < lower limit of quantification (LLoQ) from nasopharyngeal (NP) swabs at days 3, 7, and 14. All-cause hospitalization or death through day 28 was a key secondary outcome. Result(s): Of 221 participants enrolled at 25 US sites between February and August 2021, 220 (110 SNG001, 110 placebo) initiated study intervention, with a median age of 40 years, 55% female, and 20% SARS-CoV-2 vaccinated. There was no significant difference between SNG001 and placebo in Grade >=3 TEAEs (4% vs 8%, Fisher's exact test p=0.25). Median time to symptom improvement was 13 days for SNG001 and 9 days for placebo (Gehan-Wilcoxon test p=0.17). There was no difference in the proportion of participants with SARS-CoV-2 RNA < LLoQ at day 3, 7 or 14 (SNG001 vs placebo, Day 3: 28% vs. 39%;Day 7: 65% vs. 66%;Day 10: 91% vs. 91%;joint Wald test p=0.41). There were fewer hospitalizations with SNG001 (n=1;1%) compared with placebo (n=7;6%), but this difference was not statistically significant (Fisher's exact test p=0.07;Figure). All hospitalizations were due to COVID-19 and occurred among unvaccinated participants without protocol-defined high-risk factors. Conclusion(s): Inhaled nebulized SNG001 was safe and well tolerated but did not reduce SARS-CoV-2 RNA levels in the nasopharynx nor decrease time to improvement of COVID-19 symptoms in outpatients with mild-to-moderate COVID-19. The non-statistically significant decrease in hospitalizations among SNG001 participants warrants further investigation in a phase 3 clinical trial. Cumulative incidence of hospitalization or death comparing SNG001 vs. placebo.
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[Background] Since the outbreak of the COVID-19 epidemic, staff of the centers for disease control and prevention (CDC) have been burdened with heavy epidemic prevention control, and excessive occupational stress can cause depression and other psychological problems. [Objective] To explore the status of occupational stress, resilience, and depression of CDC staff and potential relationships between them. [Methods] From December 2020 to April 2021, a survey was conducted at provincial and municipal levels, and the stratified cluster sampling method was used at county (district) level to select a total of 3 514 samples. Their occupational stress, resilience, and depression status were evaluated using the Chinese Effort-Reward Imbalance Scale (ERI), the Chinese Connor-Davidson Resilience Scale (CD-RISC), and the Patient Health Questionnaire (PHQ-9). Independent sample t test, analysis of variance, chi2 test, Pearson correlation analysis, and mediation test (structural equation model) were conducted. [Results] The positive rate of occupational stress was 34.29% in the CDC staff, the resilience score was 66.28+/-15.32, and the positive rate of depression was 48.58%. Significant differences were found in the positive rates of occupational stress among different groups of gender, age, education background, marital status, administrative duty, weekly exercise frequency, chronic disease prevalence, and participation in epidemic control (P < 0.05);in the resilience scores among different groups of gender, age, administrative duty, weekly exercise frequency, chronic disease prevalence, and participation in epidemic control (P < 0.05);in the positive rates of depression among different groups of gender, age, educational background, personal monthly income, weekly exercise frequency, chronic disease prevalence, and participation in epidemic control (P < 0.05). Occupational stress was negatively correlated with resilience (r=-0.165, P < 0.01). Resilience was negatively correlated with depression (r=-0.383, P < 0.01). Occupational stress was positively correlated with depression (r=0.343, P < 0.01). The structural equation embracing a partial mediating effect of resilience on the relationship occupational stress and depression was established, and the partial mediating effect was 0.039, accounting for 10.46% of the total effect. [Conclusion] High positive rates of occupational stress, reduced resilience, and depression are shown among CDC staff in the context of the COVID-19 epidemic, and resilience partially mediates the effect of occupational stress on depression. The study findings suggest that improving resilience may reduce occupational stress and depression in CDC staff.Copyright © 2022, Shanghai Municipal Center for Disease Control and Prevention. All rights reserved.
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Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of the current global pandemic of the COVID-19, which has persisted partly through the emergence of new variants. A non-infectious, convenient, and reproducible in vitro system is needed to assess drug susceptibility of new variants of concern and potential drug resistance mutations. Method(s): The SARS-CoV-2 replicon protocol was adapted and optimized based on {Zhang 2021}. The replicon RNA was produced by in vitro transcription of full-length replicon DNA assembled by ligation of plasmid fragments encoding for the SARS-CoV-2 non-structural proteins (Nsps), nucleoprotein and gaussia luciferase reporter protein. Wild-type and mutant replicon RNAs were transfected into Huh7-1CN cells by electroporation and treated with remdesivir (RDV). To determine EC50 values, luciferase activity was determined at 48 hours post transfection. A recombinant SARS-CoV-2 virus rescue system {Xie 2020} was used to generate matching Nsp mutants for comparison with the replicon system. Result(s): The selected substitutions reflective of Omicron BA.5 sub-lineage BF.7 variant: the triple mutants (Nsp12 (P323L) +Nsp13 (R392C) + Nsp14 (I42V), and a single Nsp12 L247F mutant as well as several specific Nsp12 mutations identified by in vitro resistance selection with RDV or RDV parent nucleoside analog GS-441524 were cloned into the replicon and tested for susceptibility to RDV. RDV inhibited the SARS-CoV-2 wild-type replicon with a mean EC50 value of 14.7 +/- 3.5 nM (N=9). The Nsp12 P323L substitution, a common polymorphism in all major variants of concern including Omicron, was fully susceptible to RDV with a 0.6-fold change in EC50 from the wild-type. The Omicron BF.7 triple mutants and L247F were also fully susceptible to RDV with 0.5- and 0.4-fold changes, respectively. Nsp12 substitutions F480L, V557L, V792I, S759A+V792I, and C799F resulting from in vitro resistance selections with RDV showed minimal to moderate levels of reduced susceptibility to RDV (1.8 to 18.3-fold change) (Table 1). The RDV EC50 fold changes correlated between the noninfectious replicon and recombinant infection virus system (Table 1). Conclusion(s): The replicon system is a convenient and reproducible model to test the susceptibility of SARS-CoV-2 mutant variants to RDV and potentially other antivirals. The common Nsp12 polymorphisms in all variants including the highly transmissible Omicron variant were fully susceptible to RDV.
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Background: Whether early antiviral therapy reduces the risk of Long COVID is not known. The combination SARS-CoV-2 monoclonal antibodies amubarvimab+romlusevimab (A+R) were highly effective in reducing 28-day all-cause hospitalization/death among high-risk adults with mild-to-moderate COVID-19 in the randomized, placebo-controlled ACTIV-2/A5401 trial. We assessed the impact of A+R on late outcomes including Long COVID in ACTIV-2. Method(s): A long-term (LT) symptom diary and 2 health-related quality of life questionnaires (EQ-5D-5L and SF-36v2) were completed at week 36. The primary analysis compared the proportion of participants with the composite outcome of self-reported Long COVID (having any COVID-19 symptoms present on a global assessment question in LT diary) at week 36, or hospitalization or death by week 36 between A+R and placebo using regression models with inverse probability weighting to account for incomplete outcome data;supplemental analysis compared the proportion with Long COVID among those alive. Other analyses were restricted to observed data only. Result(s): 807 were randomized and received A+R (n=405) or placebo (n=402) from Jan-July 2021. At entry, median age was 49 years, 51% were female, >99% cis-gender, 17% Black/African American, 50% Hispanic/Latino, and 9% previously received COVID vaccination. 70 (17%) on A+R and 93 (23%) on placebo met the primary outcome;113 (14%) had incomplete data for determining the outcome (Figure 1). Accounting for incomplete data, weighted Risk Ratio [wRR]=0.74;95% CI: 0.56, 0.97;p=0.03. The difference was driven by fewer hospitalizations/deaths in the A+R arm (5%) than placebo arm (15%), particularly by day 28. Excluding 12 participants who died by week 36, frequency of Long COVID was similar in the arms, 16% for A+R and 14% for placebo (wRR=1.09;95%CI: 0.75, 1.58;p=0.64). There were no differences in the proportions reporting return to pre-COVID health (global assessment) or individual symptoms, or in number of symptoms reported or distribution of worst symptom severity. RRs favored the A+R arm on several EQ-5D-5L domains, but none met statistical significance. No differences were observed on SF-36v2 assessments. Conclusion(s): While A+R was highly effective in preventing all-cause hospitalizations and deaths in high-risk outpatients with mild-to-moderate COVID-19, there was no meaningful effect of treatment on measures of Long COVID at 36 weeks. Additional interventions are needed for Long COVID prevention. (Figure Presented).
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Background: Rebound of SARS-CoV-2 RNA and symptoms has been reported in people treated with nirmatrelvir/ritonavir. Since the natural course of viral and symptom trajectories during COVID-19 have not been well described, we evaluated the incidence of viral rebound and symptom relapse in untreated individuals with mild-to-moderate COVID-19. Method(s): This analysis included 563 participants randomized to placebo in the ACTIV-2/A5401 platform trial. Participants recorded the severity (scored as 0-3) of each of 13 targeted symptoms daily from days 0-28, with symptom score being the summed score (0-39). Symptom rebound was defined as >=4 point increase in symptom score between the maximum and the preceding minimum score. Anterior nasal (AN) swabs were collected for SARS-CoV-2 RNA testing on days 0-14 and 28. Viral rebound was defined as a >=0.5 log10 RNA copies/mL increase from the immediately preceding time point to a level >=3.0 log10 RNA copies/mL, with high-level rebound defined as an increase of >=0.5 log10 copies/mL to a level >=5.0 log10 RNA copies/mL. To mirror the timing of a 5-day nirmatrelvir/ritonavir course, a supportive analysis was conducted where participants were only classified as rebounders if their rebounds occurred on or after day 5. Result(s): Symptom rebound was identified in 26% of participants at a median [Q1, Q3] of 6 [4, 9] days after study entry and 11 [9, 14] days after initial symptom onset. Individuals with symptom rebound were more likely to be female, at high risk for progression to severe disease, have shorter time since symptom onset at study entry, and have higher symptom score and higher AN viral levels day 0. Viral rebound was detected in 32%, with high-level rebound in 13% of participants. Participants with viral rebound were older, more likely to be at low risk for progression to severe disease and had higher median AN viral level at day 0. Most symptom and viral rebound were transient with 89% of symptom rebound and 95% of viral rebound events occurring for only a single day before improving. The combination of symptom and high-level viral rebound was observed in 3% of participants. In the supportive analysis of rebound occurring >=5 days after study entry, 22% and 20% of participants met symptom and viral rebound criteria, respectively, but only 1.2% of participants met criteria for both symptom and high-level viral rebound. Conclusion(s): Symptom or viral rebound in the absence of antiviral treatment is common, but the combination of symptom and viral rebound is rare.
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Background: Amubarvimab and romlusevimab are anti-SARS-CoV-2 monoclonal antibodies (mAbs) that significantly reduced the risk of hospitalizations or death in the ACTIV-2/A5401 trial. SARS-CoV-2 variants (e.g., Delta, Epsilon, Lambda) harbor mutations against romlusevimab. We evaluated viral kinetics and resistance emergence in individuals treated with mono versus dual-active mAbs. Method(s): The study population included 789 non-hospitalized participants at high risk of progression to severe COVID-19 enrolled in the ACTIV-2/ A5401 platform trial (NCT04518410) and received either placebo (n=400) or amubarvimab plus romlusevimab (n=389). Anterior nasal (AN) swabs were collected for SARS-CoV-2 RNA testing on days 0-14, and 28. Spike (S) gene nextgeneration sequencing were performed on samples collected at study entry and the last sample with viral load >=2 log10 SARS-CoV-2 RNA copies per ml. We compared viral load kinetics and resistance emergence with single versus dual-active mAbs by categorizing participants as harboring variants sensitive to amubarvimab alone (Delta, Epsilon, Lambda, Mu) versus those sensitive to both mAbs (Alpha, Beta, Gamma, Others). Result(s): Study participants receiving single and dual-active mAbs had similar demographics, baseline AN viral load, baseline symptom score and duration since symptom onset. The most common SARS-CoV-2 variant in the study population was Delta (26%) followed by Gamma (19%), Alpha (12%), and Epsilon (10%). In those with successful sequencing, 37% (N=111) were infected with a variant sensitive to amubarvimab alone and 63% (N=188) were infected with a variant sensitive to both mAbs. Compared to treatment with a singleactive mAb, treatment with dual-active mAbs led to faster viral load decline at study day 3 (p=0.0001) and day 7 (p=0.003). Treatment-emergent resistance mutations were significantly more likely to be detected after amubarvimab plus romlusevimab treatment than placebo (2.6% vs 0%, P=0.0008). mAb resistance was also more frequently detected in the setting of single-active mAb treatment compared to dual-active mAb treatment (7.2% vs 1.1%, p=0.007). Participants with emerging mAb resistance had significantly higher pretreatment SARS-CoV-2 nasal viral RNA levels. Conclusion(s): Compared to single-active mAb therapy, dual-active mAb therapy led to significantly faster viral load decline and lower risk of emerging mAb resistance. Combination mAb therapy should be prioritized for the next generation of mAb therapeutics.
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Background: Within the ACTIV-2/A5401 platform (NCT04518410), the safety and efficacy of tixagevimab/cilgavimab (T/C), an anti-SARS-CoV-2 monoclonal antibody combination, was studied in outpatients with COVID-19. Intravenous (IV) and intramuscular (IM) administration of T/C were assessed. Method(s): Non-hospitalized adults >=18 years enrolled within 10 days of positive SARS-CoV-2 test and symptom onset. Participants at higher risk of disease progression were eligible for IV T/C 300mg (150mg each component) or placebo;all were eligible for IM T/C 600mg (300mg each) administered to the lateral thigh or placebo. Co-primary outcomes were: time to symptom improvement through day 28;nasopharyngeal (NP) SARS-CoV-2 RNA below lower limit of quantification (LLoQ) on days 3, 7 or 14;and treatment emergent Grade >=3 adverse events. Result(s): Between February and May 2021, 223 participants (106 T/C, 117 placebo) initiated study intervention and were included in the IM analysis and 114 participants (58 T/C, 56 placebo) in the IV analysis;the IV study was stopped early for administrative reasons. Both studies enrolled 45% Latinx;the IM and IV populations included 12% and 19% Black participants, 49% and 59% female sex at birth, and median age was 39 and 44 years, respectively, all of which were balanced between active vs placebo for each. Median (IQR) days from symptom onset at enrollment was 6 (4, 7). There were no differences in time to symptom improvement comparing IM T/C to placebo (median 8 (IQR 7, 12) vs 10 (8, 13) days;p=0.35) or IV T/C to placebo (11 (9, 15) vs 10 (7, 15) days;p=0.71). A significantly greater proportion (80%) in the IM T/C arm had NP SARS-CoV-2 RNA below LLoQ at day 7 compared to placebo (65%), but not days 3 or 14, overall p=0.003 across visits. Secondary and post-hoc analyses revealed antiviral effects within the smaller IV study. There was no difference in Grade >=3 AEs with either administration route. Fewer participants were hospitalized who received T/C vs placebo (4 vs 7 in IM group;0 vs 4 in IV group), neither group reaching statistical significance. Conclusion(s): Tixagevimab/cilgavimab administered IM or IV was well-tolerated and demonstrated antiviral activity and a trend towards fewer hospitalizations, but did not change time to symptom improvement in mild-to-moderate COVID-19 compared to placebo. Monoclonal antibodies administered intramuscularly to the thigh may present a valuable alternative for early SARSCoV-2 infection. Virologic Outcomes of Tixagevimab/Cilgavimab treatment 600mg IM (panels A and B) or 300mg IV (panels C and D) versus placebo.
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The theoretical origin of the combined therapy of lung and intestine can be traced back to the Inner Canon of Huangdi, which explains the physiological and pathological interaction between the lung and the large intestine. In recent years, researchers have investigated the scientific essence of the "lung- intestine axis" theory from many aspects, which enriches the relevant theoretical basis, and applied it to the treatment of COVID-19, acute lung injury, and other lung diseases. The close relation between lung and intestine in many aspects embodies the holistic conception of traditional Chinese medicine and explains the holistic theory of interrelation between organs, which correlate to each other physiologically and pathologically. Intestinal microecological disorders can affect lung immune function and cause respiratory diseases, and respiratory diseases are usually accompanied by gastrointestinal symptoms. Lung diseases can be prevented and treated by regulating intestinal flora. According to histoembryology, the epithelial tissue of the lung and intestine comes from primitive foregut. In immunology, both lung and intestine contain mucosa-associated lymphoid tissue, and the pathological changes of the respiratory tract are also closely related to intestinal microorganisms. The tissue origin of lung and large intestine, the correlation of mucosal immunity, and the synchronization of ecological changes provide a scientific basis for the combined therapy of lung and intestine. Therefore, this paper summarizes the theoretical origin, modern research mechanism, and clinical application of combined therapy of lung and intestine, in order to provide a new direction for its application in clinical and scientific research.Copyright © 2022, China Academy of Chinese Medical Sciences Institute of Chinese Materia Medica. All rights reserved.
Subject(s)
Cesarean Section/methods , Coronavirus Infections , Delivery, Obstetric/methods , Infection Control/methods , Obstetric Labor Complications/prevention & control , Pandemics , Perinatal Care/methods , Pneumonia, Viral , Pregnancy Complications, Infectious , Adult , Betacoronavirus/isolation & purification , COVID-19 , China/epidemiology , Coronavirus Infections/complications , Coronavirus Infections/diagnosis , Coronavirus Infections/epidemiology , Coronavirus Infections/therapy , Female , Humans , Infant, Newborn , Male , Obstetric Labor Complications/etiology , Pneumonia, Viral/complications , Pneumonia, Viral/diagnosis , Pneumonia, Viral/epidemiology , Pneumonia, Viral/therapy , Pregnancy , Pregnancy Complications, Infectious/epidemiology , Pregnancy Complications, Infectious/therapy , Pregnancy Complications, Infectious/virology , SARS-CoV-2ABSTRACT
Background: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is a novel and highly pathogenic coronavirus and is the causative agent of COVID-19, an ongoing pandemic that has posed a serious threat to public health and global economy. Thus, there is a pressing need for therapeutic interventions that target essential viral proteins and regulate virus spread and replication. To invade the host cell, the receptor-binding domain (RBD) of SARS-CoV-2 Spike protein binds to the host cell's ACE2 receptor, followed by cleavage events that allow the Spike protein to fuse with the host cell membrane. Thus, the essential role of Spike protein in ACE2 receptor binding and viral fusion makes it a prime target for therapeutic interventions. Method(s): We performed molecular docking and molecular dynamics (MD) simulation-based virtual screening against SARS-CoV-2 RBD/ACE2 interface using a commercial library of 93,835 drug-like compounds. Compounds with promising docking poses and scores were selected for further MD simulation refinement, from which ten lead compounds were identified. Antiviral potencies of ten lead compounds were evaluated against lentiviral vectors pseudotyped with SARS-CoV-2 Spike to down select to a single lead compound, SAI4. ELISA-based assays were employed to determine the binding affinities of SAI4 to recombinant SARS-CoV-2 RBD. Antiviral potential of SAI4 was validated against genuine SARS-CoV-2 in a BSL3 setting. Result(s): We identified SAI4 as a candidate small molecule, which inhibited SARS-CoV-2 pseudovirus entry with IC50 value of ~18 muM. We determined that SAI4 binds RDB with a Kd of ~20 muM. Using cells engineered to express ACE2 and cells that express physiological levels of ACE2, we found that SAI4 inhibited SARS-CoV-2 pseudovirus entry at both engineered and physiological ACE2 levels. We validated the antiviral potential of SAI4 against genuine SARS-CoV-2 and HCoV-NL63. Lastly, we demonstrated antiviral potential of SAI4 against four SARS-CoV-2 variants of concern (alpha, beta, gamma, and delta). Conclusion(s): Using virtual screening, we identified SAI4 as the promising hit compound which displayed inhibitory activities against SARS-CoV-2 entry and its four variants of concern. Thus, our study will pave the way for further development of small molecules for therapeutic targeting of SARS-CoV-2 entry to combat the COVID-19 pandemic.
ABSTRACT
HostSeq was launched in April 2020 as a national initiative to integrate whole genome sequencing data from 10,000 Canadians infected with SARS-CoV-2 with clinical information related to their disease experience. The mandate of HostSeq is to support the Canadian and international research communities in their efforts to understand the risk factors for disease and associated health outcomes and support the development of interventions such as vaccines and therapeutics. HostSeq is a collaboration among 13 independent epidemiological studies of SARS-CoV-2 across five provinces in Canada. Aggregated data collected by HostSeq are made available to the public through two data portals: a phenotype portal showing summaries of major variables and their distributions, and a variant search portal enabling queries in a genomic region. Individual-level data is available to the global research community for health research through a Data Access Agreement and Data Access Compliance Office approval. Here we provide an overview of the collective project design along with summary level information for HostSeq. We highlight several statistical considerations for researchers using the HostSeq platform regarding data aggregation, sampling mechanism, covariate adjustment, and X chromosome analysis. In addition to serving as a rich data source, the diversity of study designs, sample sizes, and research objectives among the participating studies provides unique opportunities for the research community.