Covid-19 Sentry

Contents

• From Preprints
• From Clinical Trials
• From PubMed
• From Patent Search

From Preprints

• Human mobility patterns to inform sampling sites for early pathogen detection and routes of spread: a network modeling and validation study -

  Background: Detecting and foreseeing pathogen dispersion is crucial in preventing widespread disease transmission. Human mobility is a critical issue in human transmission of infectious agents. Through a mobility data-driven approach, we determined municipalities in Brazil that could make up an advanced sentinel network, allowing for early detection of circulating pathogens and their associated transmission routes. Methods: We compiled a comprehensive dataset on intercity mobility spanning air, road, and waterway transport, and constructed a graph-based representation of Brazil9s mobility network. The Ford-Fulkerson algorithm, coupled with centrality measures, were employed to rank cities according to their suitability as sentinel hubs. Findings: Our results disentangle the complex transportation network of Brazil, with flights alone transporting 79.9 million (CI 58.3 to 10.1 million) passengers annually during 2017-22, seasonal peaks occurring in late spring and summer, and roadways with a maximum capacity of 78.3 million passengers weekly. We ranked the 5,570 Brazilian cities to offer flexibility in prioritizing locations for early pathogen detection through clinical sample collection. Our findings are validated by epidemiological and genetic data independently collected during the SARS-CoV-2 pandemic period. The mobility-based spread model defined here was able to recapitulate the actual dissemination patterns observed during the pandemic. By providing essential clues for effective pathogen surveillance, our results have the potential to inform public health policy and improve future pandemic response efforts. Interpretation: Our results unlock the potential of designing country-wide clinical sample collection networks using data-informed approaches, an innovative practice that can improve current surveillance systems.

  🖺 Full Text HTML: Human mobility patterns to inform sampling sites for early pathogen detection and routes of spread: a network modeling and validation study
• Critically-ill COVID-19 susceptibility gene CCR3 shows natural selection in sub-Saharan Africans -

  The prevalence of COVID-19 critical illness varies across ethnicities, with recent studies suggesting that genetic factors may contribute to this variation. The aim of this study was to investigate natural selection signals of genes associated with critically-ill COVID-19 in sub-Saharan Africans. Severe COVID-19 SNPs were obtained from the HGI website. Selection signals were assessed in 661 sub-Sahara Africans from 1000 Genomes Project using integrated haplotype score (iHS), cross-population extended haplotype homozygosity (xpEHH), and fixation index (Fst). Allele frequency trajectory analysis of ancient DNA samples were used to validate the existing of selection in sub-Sahara Africans. We also used Mendelian randomization to decipher the correlation between natural selection and critically-ill COVID-19. We identified that CCR3 exhibited significant natural selection signals in sub-Sahara Africans. Within the CCR3 gene, rs17217831-A showed both high iHS (Standardized iHS = 2) and high XP-EHH (Standardized XP-EHH = 2.5) in sub-Sahara Africans. Allele frequency trajectory of CCR3 rs17217831-A revealed natural selection occurring in the recent 1,500 years. Natural selection resulted in increased CCR3 expression in sub-Sahara Africans. Mendelian Randomization provided evidence that increased blood CCR3 expression and eosinophil counts lowered the risk of critically ill COVID-19. Our findings suggest that sub-Saharan Africans are less vulnerable to critically ill COVID-19 due to natural selection and identify CCR3 as a potential novel therapeutic target.

  🖺 Full Text HTML: Critically-ill COVID-19 susceptibility gene CCR3 shows natural selection in sub-Saharan Africans
• Risk factors for experiencing Long-COVID symptoms: Insights from two nationally representative surveys -

  Background: Long COVID (LC) is a complex and multisystemic condition marked by a diverse range of symptoms, yet its associated risk factors remain poorly defined. Methods: Leveraging data from the 2022 Behavioral Risk Factor Surveillance System (BRFSS) and National Health Interview Survey (NHIS), both representative of the United States population, this study aimed to identify demographic characteristics associated with LC. The sample was restricted to individuals aged 18 years and older who reported a positive COVID-19 test or doctor9s diagnosis. We performed a descriptive analysis comparing characteristics between participants with and without LC. Furthermore, we developed multivariate logistic regression models on demographic covariates that would have been valid at the time of the COVID-19 infection. Results: Among the 124,313 individuals in BRFSS and 10,131 in the NHIS reporting either a positive test or doctor9s diagnosis for COVID-19 (Table), 26,783 (21.5%) in BRFSS and 1,797 (17.1%) in NHIS reported LC. In the multivariate logistic regression model, we found middle age, female gender, Hispanic ethnicity, lack of a college degree, and residence in non-metropolitan areas associated with higher risk of LC. Notably, the initial severity of acute COVID-19 was strongly associated with LC risk. In contrast, significantly lower ORs were reported for Non-Hispanic Asian and Black Americans compared to Non-Hispanic White. Conclusions: In the United States, there is marked variation in the risk of LC by demographic factors and initial infection severity. Further research is needed to understand the underlying cause of these observations.

  🖺 Full Text HTML: Risk factors for experiencing Long-COVID symptoms: Insights from two nationally representative surveys
• Estimated number of lives directly saved by COVID-19 vaccination programs in the WHO European Region, December 2020 to March 2023 -

  Background: By March 2023, 54 countries, areas and territories (thereafter “CAT”) reported over 2.2 million coronavirus disease 2019 (COVID-19) deaths to the World Health Organization (WHO) Regional Office for Europe (1). Here, we estimate how many lives were directly saved by vaccinating adults in the Region, from December 2020 through March 2023. Methods: We estimated the number of lives directly saved by age-group, vaccine dose and circulating Variant of Concern (VOC) period, both regionally and nationally, using weekly data on COVID-19 mortality and COVID-19 vaccine uptake reported by 34 CAT, and vaccine effectiveness (VE) data from the literature. We calculated the percentage reduction in the number of expected and reported deaths. Findings: We found that vaccines reduced deaths by 57% overall (CAT range: 15% to 75%), representing ~1.4 million lives saved in those aged ≥25 years (range: 0.7 million to 2.6 million): 96% of lives saved were aged ≥60 years and 52% were aged ≥80 years; first boosters saved 51%, and 67% were saved during the Omicron period. Interpretation: Over nearly 2.5 years, most lives saved by COVID-19 vaccination were in older adults by first booster dose and during the Omicron period, reinforcing the importance of up-to-date vaccination among these most at-risk individuals. Further modelling work should evaluate indirect effects of vaccination and public health and social measures.

  🖺 Full Text HTML: Estimated number of lives directly saved by COVID-19 vaccination programs in the WHO European Region, December 2020 to March 2023
• The relationship between gut and nasopharyngeal microbiome composition can predict the severity of COVID-19 -
  Background: Coronavirus disease 2019 (COVID-19) is a respiratory illness caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that displays great variability in clinical phenotype. Many factors have been described to be correlated with its severity but no specific determinants of infection outcome have been identified yet, maybe due the complex pathogenic mechanisms. The microbiota could play a key role in the infection and in the progression and outcome of the disease. Hence, SARS-CoV-2 infection has been associated with nasopharyngeal and gut dysbiosis and higher abundance of opportunistic pathogens. Methods: To identify new prognostic markers for the disease, a multicenter prospective observational cohort study was carried out in COVID-19 patients that were divided in three cohorts according to their symptomatology: mild (n=24), moderate (n=51) and severe/critical (n=31). Faecal and nasopharyngeal samples were taken and the microbiota was analysed. Results: Microbiota composition could be associated with the severity of the symptoms and the linear discriminant analysis identified the genera Mycoplasma and Prevotella as severity biomarkers in nasopharyngeal samples, and Allistipes, Enterococcus and Escherichia in faecal samples. Moreover, M. salivarium was defined as a unique microorganism in COVID-19 patients' nasopharyngeal microbiota while P. bivia and P. timonensis were defined in faecal microbiota. A connection between faecal and nasopharyngeal microbiota in COVID-19 patients was also identified as a strong positive correlation between P. timonensis (faeces) towards P. dentalis and M. salivarium(nasopharyngeal) was found in critically ill patients. Conclusions: This ratio could be used as a novel prognostic biomarker for severe COVID-19 patients.
  🖺 Full Text HTML: The relationship between gut and nasopharyngeal microbiome composition can predict the severity of COVID-19
• Drug Discovery in Low Data Regimes: Leveraging a Computational Pipeline for the Discovery of Novel SARS-CoV-2 Nsp14-MTase Inhibitors -
  The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has led to significant global morbidity and mortality. A crucial viral protein, the non-structural protein 14 (nsp14), catalyzes the methylation of viral RNA and plays a critical role in viral genome replication and transcription. Due to the low mutation rate in the nsp region among various SARS-CoV-2 variants, nsp14 has emerged as a promising therapeutic target. However, discovering potential inhibitors remains a challenge. In this work, we introduce a computational pipeline for the rapid and efficient identification of potential nsp14 inhibitors by leveraging virtual screening and the NCI open compound collection, which contains 250,000 freely available molecules for researchers worldwide. The introduced pipeline provides a cost-effective and efficient approach for early-stage drug discovery by allowing researchers to evaluate promising molecules without incurring synthesis expenses. Our pipeline successfully identified seven promising candidates after experimentally validating only 40 compounds. Notably, we discovered NSC620333, a compound that exhibits a strong binding affinity to nsp14 with a dissociation constant of 427 {+/-} 84 nM. In addition, we gained new insights into the structure and function of this protein through molecular dynamics simulations. We identified new conformational states of the protein and determined that residues Phe367, Tyr368, and Gln354 within the binding pocket serve as stabilizing residues for novel ligand interactions. We also found that metal coordination complexes are crucial for the overall function of the binding pocket. Lastly, we present the solved crystal structure of the nsp14-MTase complexed with SS148 (PDB:8BWU), a potent inhibitor of methyltransferase activity at the nanomolar level (IC50 value of 70 {+/-} 6 nM). Our computational pipeline accurately predicted the binding pose of SS148, demonstrating its effectiveness and potential in accelerating drug discovery efforts against SARS-CoV-2 and other emerging viruses.
  🖺 Full Text HTML: Drug Discovery in Low Data Regimes: Leveraging a Computational Pipeline for the Discovery of Novel SARS-CoV-2 Nsp14-MTase Inhibitors
• Intestinal microbiota programming of alveolar macrophages influences severity of respiratory viral infection -
  Susceptibility to respiratory virus infections (RVIs) varies widely across individuals. Because the gut microbiome impacts immune function, we investigated the influence of intestinal microbiota composition on RVI and determined that segmented filamentous bacteria (SFB), naturally acquired or exogenously administered, protected mice against influenza virus (IAV) infection. Such protection, which also applied to respiratory syncytial virus and SARS-CoV-2, was independent of interferon and adaptive immunity but required basally resident alveolar macrophages (AM). In SFB-negative mice, AM were quickly depleted as RVI progressed. In contrast, AM from SFB-colonized mice were intrinsically altered to resist IAV-induced depletion and inflammatory signaling. Yet, AM from SFB-colonized mice were not quiescent. Rather, they directly disabled IAV via enhanced complement production and phagocytosis. Accordingly, transfer of SFB-transformed AM into SFB-free hosts recapitulated SFB-mediated protection against IAV. These findings uncover complex interactions that mechanistically link the intestinal microbiota with AM functionality and RVI severity.
  🖺 Full Text HTML: Intestinal microbiota programming of alveolar macrophages influences severity of respiratory viral infection
• Neural Network-Assisted Humanization of COVID-19 Hamster scRNAseq Data Reveals Matching Severity States in Human Disease -
  Translating findings from animal models to human disease is essential for dissecting disease mechanisms, developing and testing precise therapeutic strategies. The coronavirus disease 2019 (COVID-19) pandemic has highlighted this need, particularly for models showing disease severity-dependent immune responses. Single-cell transcriptomics (scRNAseq) is well poised to reveal similarities and differences between species at the molecular and cellular level with unprecedented resolution. However, computational methods enabling detailed matching are still scarce. Here, we provide a structured scRNAseq-based approach that we applied to scRNAseq from blood leukocytes originating from humans and hamsters affected with moderate or severe COVID-19. Integration of COVID-19 patient data with two hamster models that develop moderate (Syrian hamster, Mesocricetus auratus) or severe (Roborovski hamster, Phodopus roborovskii) disease revealed that most cellular states are shared across species. A neural network-based analysis using variational autoencoders quantified the overall transcriptomic similarity across species and severity levels, showing highest similarity between neutrophils of Roborovski hamsters and severe COVID-19 patients, while Syrian hamsters better matched patients with moderate disease, particularly in classical monocytes. We further used transcriptome-wide differential expression analysis to identify which disease stages and cell types display strongest transcriptional changes. Consistently, hamster's response to COVID-19 was most similar to humans in monocytes and neutrophils. Disease-linked pathways found in all species specifically related to interferon response or inhibition of viral replication. Analysis of candidate genes and signatures supported the results. Our structured neural network-supported workflow could be applied to other diseases, allowing better identification of suitable animal models with similar pathomechanisms across species.
  🖺 Full Text HTML: Neural Network-Assisted Humanization of COVID-19 Hamster scRNAseq Data Reveals Matching Severity States in Human Disease
• Investigating willingness to share autonomous shuttles with strangers: The mediating effects of trust and optimism -
  If autonomous vehicles are to have beneficial impacts on society, people must be willing to use them in their everyday lives. Many studies have engaged in questions regarding the technology of automation and how drivers will interact with it. However, little research has focused on the social situation arising from small shared autonomous shuttles (SASs) used in public transportation. This study aims to investigate a conceptual framework suggested by previous research and the MAVA-model. We tested a conceptual model where the background variables’ impact is mediated through trust in SASs and technology optimism. Our two dependent variables were the intention to use SASs with strangers without a steward onboard and the importance of social distance. The current article uses data collected using two identical online surveys conducted in 2020 (n=922) and 2021 (n=608). The data were collected before and after a pilot using SAS was employed in a suburban area outside Oslo. Examining the same population before and after the pilot gives us crucial insight into the development of attitudes toward automated vehicles when exposed to them in regular traffic. We find that trust in SASs and technological optimism positively predict willingness to use SAS. However, the passage of time had a negative effect on trust and tech-optimism, which in turn lowered the intentions to use. The background variables have little effect on the mediators. Contrary to previous research, we find that familiarity with the pilots predicted lower technological optimism and thus lower intentions to use. Older participants and women reported less trust in SASs and less tech-optimism compared to others. In the next step, these mediators lowered the intention to use SASs. These two groups also feel that it is more important to be able to keep social distance while riding SASs. The participants who use active transport modes think it is less important with social distance. The ongoing COVID-19 pandemic may also impact the results. The proposed model was less suited for predicting desire for social distance than for intentions to use. Our results suggest that future pilots should take care not to leave a negative impression by employing immature technology in neighborhoods, as this may be detrimental to the perception of SASs. Furthermore, transportation providers should take care to meet the social needs of exposed groups in the novel social context created by SASs.
  🖺 Full Text HTML: Investigating willingness to share autonomous shuttles with strangers: The mediating effects of trust and optimism
• Proteolytic cleavage and inactivation of the TRMT1 tRNA modification enzyme by SARS-CoV-2 main protease -
  Nonstructural protein 5 (Nsp5) is the main protease of SARS-CoV-2 that cleaves viral polyproteins into individual polypeptides necessary for viral replication. Here, we show that Nsp5 binds and cleaves human tRNA methyltransferase 1 (TRMT1), a host enzyme required for a prevalent post-transcriptional modification in tRNAs. Human cells infected with SARS-CoV-2 exhibit a decrease in TRMT1 protein levels and TRMT1-catalyzed tRNA modifications, consistent with TRMT1 cleavage and inactivation by Nsp5. Nsp5 cleaves TRMT1 at a specific position that matches the consensus sequence of SARS-CoV-2 polyprotein cleavage sites, and a single mutation within the sequence inhibits Nsp5-dependent proteolysis of TRMT1. The TRMT1 cleavage fragments exhibit altered RNA binding activity and are unable to rescue tRNA modification in TRMT1-deficient human cells. Compared to wildtype human cells, TRMT1- deficient human cells infected with SARS-CoV-2 exhibit reduced levels of intracellular viral RNA. These findings provide evidence that Nsp5-dependent cleavage of TRMT1 and perturbation of tRNA modification patterns contribute to the cellular pathogenesis of SARS-CoV-2 infection.
  🖺 Full Text HTML: Proteolytic cleavage and inactivation of the TRMT1 tRNA modification enzyme by SARS-CoV-2 main protease
• Science knowledge and trust in medicine affect individuals’ behavior in pandemic crises -
  In pandemic crises such as the COVID-19 pandemic, individuals’ behavior has a strong impact on epidemiological processes. Compliance with prevention guidelines, such as social distancing, is critical to avoid further spreading an infectious disease or to slow down its spread. However, some individuals also or instead engage in panic behavior, such as hoarding. We investigate how education prepares individuals to respond adequately by modelling the path from seeking information about COVID-19 to eventual behavior. Based on a sample of N = 1,182 adult Americans, gathered at the pandemic’s onset (March 2020), we conclude that science knowledge helps individuals convert information into coronavirus knowledge. This knowledge then helps individuals avoid panic behavior. Individuals lacking coronavirus knowledge and science knowledge still comply with prevention guidelines when they have a general trust in medicine. Individuals lacking knowledge still follow prevention guidelines when they trust in medicine. Facilitating science knowledge and trust in science through education and targeted public health messaging are likely to be of fundamental importance for bringing crises such as the 2020 COVID-19 pandemic under control.
  🖺 Full Text HTML: Science knowledge and trust in medicine affect individuals’ behavior in pandemic crises
• Individual Psychological Responses to the SARS-CoV-2 Pandemic: Different Clusters and Their Relation to Risk-Reducing Behavior -
  Understanding individual difference in psychological responses toward the Coronavirus (SARS-CoV-2) crisis is essential to the adequate handling of the current pandemic. Based on a sample of 1,182 American adult residents (stratified for age and gender; data collection March 13 to 15, 2020), we found three distinct clusters of psychological responses (i.e., informed, panic, and ignorant). Clusters differed regarding their knowledge about the virus, SARS-CoV-2-related anxiety (i.e., worry and emotionality), and evaluation of the SARS-CoV-2 crisis’s severity. Cluster membership was strongly associated with both SARS-CoV-2 risk-reducing, reasonable behavior and unreasonable behavior. Finally, clusters could be linked to systematic differences in broader personality dimensions (i.e., Dark Triad and Big Five). Our study provides and validates a set of clusters of individual psychological responses to the SARS-CoV-2 pandemic and the resulting behavior. It functions as a pivotal starting point for longitudinal observations on the effectiveness of public health communications in this global challenge.
  🖺 Full Text HTML: Individual Psychological Responses to the SARS-CoV-2 Pandemic: Different Clusters and Their Relation to Risk-Reducing Behavior
• The pandemic, COVID-19 disease and perinatal health -

  Adverse effects of COVID-19 on perinatal health have been documented, however there is a lack of research that separates individual disease from other changing risks during the pandemic period. We linked California statewide birth and hospital discharge data for 2019-2020, and compared health indicators among 3 groups of pregnancies: [a] 2020 delivery with COVID-19, [b] 2020 delivery with no documented COVID-19, and [c] 2019 pre-pandemic delivery. We aimed to quantify the links between COVID-19 and perinatal health, separating individual COVID-19 disease (a vs b) from the pandemic period (b vs c). We examined the following health indicators: preterm birth, hypertensive disorders of pregnancy, gestational diabetes mellitus and severe maternal morbidity. We applied model based standardization to estimate “average effect of treatment on the treated” risk differences (RD), and adjusted for individual and community-level confounders. Among pregnancies in 2020, those with COVID-19 disease had higher burdens of preterm birth (RD[95% confidence interval (CI)]=2.8%[2.1,3.5]), hypertension (RD[95% CI]=3.3%[2.4,4.1]), and severe maternal morbidity (RD[95% CI]=2.3%[1.9,2.7]) compared with pregnancies without COVID-19 (a vs b) adjusted for confounders. Pregnancies in 2020 without COVID-19 had a lower burden of preterm birth (RD[95% CI]=-0.4%[-0.6,-0.3]), particularly spontaneous preterm, and a higher burden of hypertension (RD[95% CI]=1.0%[0.9,1.2]) and diabetes RD[95%CI]=0.9%[0.8,1.1] compared with pregnancies in 2019 (b vs c) adjusted for confounders. Protective associations of the pandemic period for spontaneous preterm birth may be explained by socioenvironmental and behavioral modifications, while increased maternal conditions may be due to stress and other behavioral changes. To our knowledge, our study is the first to distinguish between individual COVID-19 disease and the pandemic period in connection with perinatal outcomes.

  🖺 Full Text HTML: The pandemic, COVID-19 disease and perinatal health
• Impact of COVID-19 vaccination on symptoms and immune phenotypes in vaccine-naÏve individuals with Long COVID -

  Background: Long COVID contributes to the global burden of disease. Proposed root cause hypotheses include the persistence of SARS-CoV-2 viral reservoir, autoimmunity, and reactivation of latent herpesviruses. Patients have reported various changes in Long COVID symptoms after COVID-19 vaccinations, leaving uncertainty about whether vaccine-induced immune responses may alleviate or worsen disease pathology. Methods: In this prospective study, we evaluated changes in symptoms and immune responses after COVID-19 vaccination in 16 vaccine-naïve individuals with Long COVID. Surveys were administered before vaccination and then at 2, 6, and 12 weeks after receiving the first vaccine dose of the primary series. Simultaneously, SARS-CoV-2-reactive TCR enrichment, SARS-CoV-2-specific antibody responses, antibody responses to other viral and self-antigens, and circulating cytokines were quantified before vaccination and at 6 and 12 weeks after vaccination. Results: Self-report at 12 weeks post-vaccination indicated 10 out of 16 participants had improved health, 3 had no change, 1 had worse health, and 2 reported marginal changes. Significant elevation in SARS-CoV-2-specific TCRs and Spike protein-specific IgG were observed 6 and 12 weeks after vaccination. No changes in reactivities were observed against herpes viruses and self-antigens. Within this dataset, higher baseline sIL-6R was associated with symptom improvement, and the two top features associated with non-improvement were high IFN-β and CNTF, among soluble analytes. Conclusions: Our study showed that in this small sample, vaccination improved the health or resulted in no change to the health of most participants, though few experienced worsening. Vaccination was associated with increased SARS-CoV-2 Spike protein-specific IgG and T cell expansion in most individuals with Long COVID. Symptom improvement was observed in those with baseline elevated sIL-6R, while elevated interferon and neuropeptide levels were associated with a lack of improvement.

  🖺 Full Text HTML: Impact of COVID-19 vaccination on symptoms and immune phenotypes in vaccine-naÏve individuals with Long COVID
• Genomic surveillance of SARS-CoV-2 and emergence of XBB.1.16 variant in Rajasthan -

  Background & objectives: Genomic surveillance of positive SARS-CoV-2 samples is important to monitor the genetic changes occurring in virus, this was enhanced after the WHO designation of XBB.1.16 as a variant under monitoring in March 2023. From 5th February till 6th May 2023 all positive SARS-CoV-2 samples were monitored for genetic changes. Methods: A total of 1757 samples having Ct value <25 (for E and ORF gene) from different districts of Rajasthan were processed for Next Generation sequencing (NGS). The FASTA files obtained on sequencing were used for lineage determination using Nextclade and phylogenetic tree construction. Results and discussion: Sequencing and lineage identification was done in 1624 samples. XBB.1.16 was the predominant lineage in 1413(87.0%) cases while rest was other XBB (207, 12.74%) and other lineages (4, 0.2%). Of the 1413 XBB.1.16 cases, 57.47% were males and 42.53% were females. Majority (66.53%) belonged to 19-59 year age. 84.15% of XBB.1.16 cases were infected for the first time. Hospitalization was required in only 2.2% cases and death was reported in 5 (0.35%) patients. Most of the cases were symptomatic and the commonest symptoms were fever, cough and rhinorrhoea. Co-morbidities were present in 414 (29.3%) cases. Enhanced genomic surveillance helped to rapidly identify the spread of XBB variant in Rajasthan. This in turn helped to take control measures to prevent spread of virus and estimate public health risks of the new variant relative to the previously circulating lineages. XBB variant was found to spread rapidly but produced milder disease.

  🖺 Full Text HTML: Genomic surveillance of SARS-CoV-2 and emergence of XBB.1.16 variant in Rajasthan

From Clinical Trials

• Sodium Citrate in Smell Retraining for People With Post-COVID-19 Olfactory Dysfunction - Conditions: Long Haul COVID-19; Post-Acute COVID-19 Syndrome; Anosmia; Olfaction Disorders
  Interventions: Drug: Sodium Citrate; Drug: Normal Saline; Other: Olfactory Training Kit - “The Olfactory Kit, by AdvancedRx”
  Sponsors: University of North Carolina, Chapel Hill
  Recruiting

• Phase II, Double Blind, Randomized Trial of CX-4945 in Viral Community Acquired Pneumonia - Conditions: Community-acquired Pneumonia; SARS-CoV-2 -Associated Pneumonia; Influenza With Pneumonia
  Interventions: Drug: CX-4945 (SARS-CoV-2 domain); Drug: Placebo (SARS-CoV-2 domain); Drug: CX-4945 (Influenza virus domain); Drug: Placebo (Influenza virus domain)
  Sponsors: Senhwa Biosciences, Inc.
  Not yet recruiting

• Edge AI-deployed DIGItal Twins for PREDICTing Disease Progression and Need for Early Intervention in Infectious and Cardiovascular Diseases Beyond COVID-19 - Investigation of Biomarkers in Dermal Interstitial Fluid - Conditions: Heart Failure
  Interventions: Device: Use of the PELSA System for dISF extraction
  Sponsors: Charite University, Berlin, Germany
  Not yet recruiting

• Phase III Clinical Study Evaluating the Efficacy and Safety of WPV01 in Patients With Mild/Moderate COVID-19 - Conditions: Mild to Moderate COVID-19
  Interventions: Drug: WPV01; Drug: Placebo
  Sponsors: Westlake Pharmaceuticals (Hangzhou) Co., Ltd.
  Recruiting

• Integrated Mindfulness-based Health Qigong Intervention for COVID-19 Survivors and Caregivers - Conditions: COVID-19 Infection
  Interventions: Other: Mindfulness-based Health Qigong Intervention
  Sponsors: The Hong Kong Polytechnic University
  Recruiting

• Effect of Aerobic Exercises Versus Incentive Spirometer Device on Post-covid Pulmonary Fibrosis Patients - Conditions: Lung Fibrosis Interstitial; Post-COVID-19 Syndrome
  Interventions: Other: Aerobic Exercises; Device: Incentive Spirometer Device; Other: Traditional Chest Physiotherapy
  Sponsors: McCarious Nahad Aziz Abdelshaheed Stephens; Cairo University
  Active, not recruiting

• SARS-CoV-2 and Influenza A/B in Point-of-Care and Non-Laboratory Settings - Conditions: SARS-CoV-2 Infection; Influenza A; Influenza B
  Interventions: Diagnostic Test: Aptitude Medical Systems Metrix COVID/Flu Test
  Sponsors: Aptitude Medical Systems; Biomedical Advanced Research and Development Authority
  Recruiting

• Can Doctors Reduce COVID-19 Misinformation and Increase Vaccine Uptake in Ghana? A Cluster-randomised Controlled Trial - Conditions: COVID-19
  Interventions: Behavioral: Motivational Interviewing, AIMS; Behavioral: Facility engagement
  Sponsors: London School of Economics and Political Science; Innovations for Poverty Action; Ghana Health Services
  Not yet recruiting

• Long COVID Ultrasound Trial - Conditions: Long Covid
  Interventions: Device: Splenic Ultrasound
  Sponsors: SecondWave Systems Inc.; University of Minnesota; MCDC (United States Department of Defense)
  Recruiting

• Immunogenicity After COVID-19 Vaccines in Adapted Schedules - Conditions: Coronavirus Disease 2019; COVID-19
  Interventions: Drug: BNT162b2 30µg; Drug: BNT162b2 20µg; Drug: BNT162b2 6µg; Drug: mRNA-1273 100µg; Drug: mRNA-1273 50µg; Drug: ChAdOx1-S [Recombinant]
  Sponsors: Universiteit Antwerpen
  Completed

From PubMed

• Massively parallel profiling of RNA-targeting CRISPR-Cas13d - CRISPR-Cas13d cleaves RNA and is used in vivo and for diagnostics. However, a systematic understanding of its RNA binding and cleavage specificity is lacking. Here, we describe an RNA Chip-Hybridized Association-Mapping Platform (RNA-CHAMP) for measuring the binding affinity for > 10,000 RNAs containing structural perturbations and other alterations relative to the CRISPR RNA (crRNA). Deep profiling of Cas13d reveals that it does not require a protospacer flanking sequence but is exquisitely…

• Human conjunctiva organoids to study ocular surface homeostasis and disease - The conjunctival epithelium covering the eye contains two main cell types: mucus-producing goblet cells and water-secreting keratinocytes, which present mucins on their apical surface. Here, we describe long-term expanding organoids and air-liquid interface representing mouse and human conjunctiva. A single-cell RNA expression atlas of primary and cultured human conjunctiva reveals that keratinocytes express multiple antimicrobial peptides and identifies conjunctival tuft cells. IL-4/-13…

• Inactivation mechanism of cold plasma combined with 222 nm ultraviolet for spike protein and its application in disinfecting of SARS-CoV-2 - Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a highly transmissible virus that has precipitated a worldwide pandemic of coronavirus disease since 2019. Developing an effective disinfection strategy is crucial to prevent the risk of surface cross-contamination by SARS-CoV-2. This study employed pseudovirus and the receptor-binding domain (RBD) protein of SARS-CoV-2 as models to investigate the spike protein inactivation process and its underlying mechanisms using a novel…

• Role of TNF-α in the Pathogenesis of Migraine - CONCLUSION: To this end, TNF-α plays a critical role in chronification, and inhibiting its signaling would likely be a crucial strategy for migraine therapy.

• TXM peptides inhibit SARS-CoV-2 infection, syncytia formation, and lower inflammatory consequences - After three years of the SARS-CoV-2 pandemic, the search and availability of relatively low-cost benchtop therapeutics for people not at high risk for a severe disease are still ongoing. Although vaccines and new SARS-CoV-2 variants reduce the death toll, the long COVID-19 along with neurologic symptoms can develop and persist even after a mild initial infection. Reinfections, which further increase the risk of sequelae in multiple organ systems as well as the risk of death, continue to require…

• Natural flavonoid pectolinarin computationally targeted as a promising drug candidate against SARS-CoV-2 - Coronavirus disease-2019 (COVID-19) has become a global pandemic, necessitating the development of new medicines. In this investigation, we identified potential natural flavonoids and compared their inhibitory activity against spike glycoprotein, which is a target of SARS-CoV-2 and SARS-CoV. The target site for the interaction of new inhibitors for the treatment of SARS-CoV-2 has 82% sequence identity and the remaining 18% dissimilarities in RBD S1-subunit, S2-subunit, and 2.5% others. Molecular…

• Structure-based Virtual Screening from Natural Products as Inhibitors of SARS-CoV-2 Spike Protein and ACE2-h Receptor Binding and their Biological Evaluation In vitro - CONCLUSION: Compound B-8 can be used as a scaffold to develop new and more efficient antiviral drugs.

• Lipid Metabolism Modulation during SARS-CoV-2 Infection: A Spotlight on Extracellular Vesicles and Therapeutic Prospects - Extracellular vesicles (EVs) have a significant impact on the pathophysiological processes associated with various diseases such as tumors, inflammation, and infection. They exhibit molecular, biochemical, and entry control characteristics similar to viral infections. Viruses, on the other hand, depend on host metabolic machineries to fulfill their biosynthetic requirements. Due to potential advantages such as biocompatibility, biodegradation, and efficient immune activation, EVs have emerged as…

• FHL2 Inhibits SARS-CoV-2 Replication by Enhancing IFN-β Expression through Regulating IRF-3 - SARS-CoV-2 triggered the global COVID-19 pandemic, posing a severe threat to public health worldwide. The innate immune response in cells infected by SARS-CoV-2 is primarily orchestrated by type I interferon (IFN), with IFN-β exhibiting a notable inhibitory impact on SARS-CoV-2 replication. FHL2, acting as a docking site, facilitates the assembly of multiprotein complexes and regulates the transcription of diverse genes. However, the association between SARS-CoV-2 and FHL2 remains unclear. In…

• Comparative Analysis of Cyclization Techniques in Stapled Peptides: Structural Insights into Protein-Protein Interactions in a SARS-CoV-2 Spike RBD/hACE2 Model System - Medicinal chemistry is constantly searching for new approaches to develop more effective and targeted therapeutic molecules. The design of peptidomimetics is a promising emerging strategy that is aimed at developing peptides that mimic or modulate the biological activity of proteins. Among these, stapled peptides stand out for their unique ability to stabilize highly frequent helical motifs, but they have failed to be systematically reported. Here, we exploit chemically diverse helix-inducing i,…

• Computer-Aided Prediction of the Interactions of Viral Proteases with Antiviral Drugs: Antiviral Potential of Broad-Spectrum Drugs - Human society is facing the threat of various viruses. Proteases are promising targets for the treatment of viral infections. In this study, we collected and profiled 170 protease sequences from 125 viruses that infect humans. Approximately 73 of them are viral 3-chymotrypsin-like proteases (3CL^(pro)), and 11 are pepsin-like aspartic proteases (PAPs). Their sequences, structures, and substrate characteristics were carefully analyzed to identify their conserved nature for proposing a…

• Viral Targeting of Importin Alpha-Mediated Nuclear Import to Block Innate Immunity - Cellular nucleocytoplasmic trafficking is mediated by the importin family of nuclear transport proteins. The well-characterized importin alpha (IMPA) and importin beta (IMPB) nuclear import pathway plays a crucial role in the innate immune response to viral infection by mediating the nuclear import of transcription factors such as IRF3, NFκB, and STAT1. The nuclear transport of these transcription factors ultimately leads to the upregulation of a wide range of antiviral genes, including IFN and…

• 5’-cap RNA/SAM mimetic conjugates as bisubstrate inhibitors of viral RNA cap 2’-O-methyltransferases - Viral RNA cap 2’-O-methyltransferases are considered promising therapeutic targets for antiviral treatments, as they play a key role in the formation of viral RNA cap-1 structures to escape the host immune system. A better understanding of how they interact with their natural substrates (RNA and the methyl donor SAM) would enable the rational development of potent inhibitors. However, as few structures of 2’-O-MTases in complex with RNA have been described, little is known about substrate…

• Correction to: Dihydroisocoumarins of Hydrangea macrophylla var. thunbergii inhibit binding of the SARS-CoV-2 spike protein to ACE2 - No abstract

• Gut microbiota-derived butyrate promotes coronavirus TGEV infection through impairing RIG-I-triggered local type I interferon responses via class I HDAC inhibition - Swine enteric coronaviruses (SECoVs) infection in vivo alters the composition of short-chain fatty acids (SCFAs)-producing gut microbiota, but whether microbiota-derived SCFAs impact coronavirus gastrointestinal infection is largely unknown. Here, we demonstrated that SCFAs, particularly butyrate, substantially increased alphacoronavirus TGEV infection at the late stage of infection, without affecting viral attachment or internalization. Furthermore, enhancement of TGEV by butyrate depended on…

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