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<h1 data-aos="fade-down" id="covid-19-sentry">Covid-19 Sentry</h1>
<h1 data-aos="fade-right" data-aos-anchor-placement="top-bottom" id="contents">Contents</h1>
<ul>
<li><a href="#from-preprints">From Preprints</a></li>
<li><a href="#from-clinical-trials">From Clinical Trials</a></li>
<li><a href="#from-pubmed">From PubMed</a></li>
<li><a href="#from-patent-search">From Patent Search</a></li>
</ul>
<h1 data-aos="fade-right" id="from-preprints">From Preprints</h1>
<ul>
<li><strong>Mapping the Open-Source Response to Covid-19: Growth, Interactions, and Impact</strong> -
<div>
The COVID-19 pandemic necessitated rapid innovation to address emergent healthcare challenges, spotlighting the open-source communitys role in fostering collaborative solutions. This study explores the engagement dynamics within this community by analysing keyword mentions across academic databases, GitHub, and Google search from January 2020 to December 2022. Findings reveal a wave-based engagement pattern with spikes in mentions and search interest during critical pandemic junctures, particularly around ventilators, masks, and personal protective equipment. A challenge in maintaining heightened engagement post the peak of each wave was observed, reflecting the evolving focus of the crisis. The study also noted a shift in focus within the open-source community from ventilators to other healthcare necessities as the pandemic unfolded. These findings underscore the potential of open-source initiatives in fostering agile solutions amidst evolving crisis landscapes. The results advocate for strengthened engagement between policymakers, public health organisations, and the open-source community to align with real-world healthcare needs, augmenting the potential for innovative solutions during future crises. This study illuminates the significance of open-source paradigms as resilient frameworks for navigating complex healthcare challenges and underscores the value of collaborative, transparent, and innovative approaches in addressing global health exigencies.
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🖺 Full Text HTML: <a href="https://osf.io/wf5c4/" target="_blank">Mapping the Open-Source Response to Covid-19: Growth, Interactions, and Impact</a>
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<li><strong>Impact of bivalent BA.4/5 BNT162b2 COVID-19 vaccine on acute symptoms, quality of life, work productivity and activity levels among symptomatic US adults testing positive for SARS-CoV-2 at a national retail pharmacy</strong> -
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Background: Evidence on the impact of COVID-19 vaccination on symptoms, Health-Related Quality of Life (HRQoL), Work Productivity and Activity Impairment (WPAI) is scarce. We analyzed associations between bivalent BA.4/5 BNT162b2 and these patient-reported outcomes (PROs). Methods: Symptomatic US adults who tested positive for SARS-CoV-2 were recruited between 03/02-05/18/2023. PROs were assessed using a CDC-based symptom questionnaire, EQ-5D-5L, WPAI-GH, and PROMIS Fatigue, from pre-COVID to Week 4 following infection. Multivariable analysis using mixed models for repeated measures was conducted, adjusting for several covariates. Results: The study included 641 participants: 314 vaccinated with bivalent BA.4/5 BNT162b2 and 327 unvaccinated/not up-to-date. Mean (SD) age was 46.5 years (15.9), 71.2% were female, 44.2% reported prior infection, 25.7% had ≥1 comorbidity. The BA.4/5 BNT162b2 cohort reported fewer acute symptoms through Week 4, especially systemic and respiratory symptoms. All PROs were adversely affected, especially at Week 1; however, at that time point, the bivalent BA.4/5 BNT162b2 cohort reported better work performance, driven by less absenteeism, and fewer work hours lost. No significant differences were observed for HRQoL. Conclusions: COVID-19 negatively impacted patient outcomes. Compared with unvaccinated/not up-to-date participants, those vaccinated with bivalent BA.4/5 BNT162b2 reported fewer and less persistent symptoms and improved work performance. Clinicaltrials.gov NCT05160636 Keywords: SARS-CoV-2; BA.4/5 BNT162b2; Bivalent; COVID-19; COVID-19 symptoms; HRQoL; Humanistic; Quality of life; WPAI; PROMIS Fatigue.
</p>
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🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2023.09.21.23295904v1" target="_blank">Impact of bivalent BA.4/5 BNT162b2 COVID-19 vaccine on acute symptoms, quality of life, work productivity and activity levels among symptomatic US adults testing positive for SARS-CoV-2 at a national retail pharmacy</a>
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<li><strong>Group A streptococcal cases and treatments during the COVID-19 pandemic and 2022 outbreak: a retrospective cohort study in England using OpenSAFELY-TPP</strong> -
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Objective To investigate the impact of the COVID-19 pandemic on Group A streptococcal (GAS) cases and related antibiotic prescriptions. Design A retrospective cohort study with supporting dashboards with the approval of NHS England. Setting Primary care practices in England using TPP SystmOne software from January 2018 through March 2023. Participants Patients included were those registered at a TPP practice for each month of the study period. Patients with missing sex or age were excluded, resulting in a population of 23,816,470 in January 2018, increasing to 25,541,940 by March 2023. Main outcome measures We calculated monthly counts and crude rates of GAS cases (sore throat/tonsillitis, scarlet fever, invasive group A strep) and prescriptions linked with a GAS case, before (pre-April 2020), during and after (post-April 2021) COVID-19 restrictions. We calculated the maximum and minimum count and rate for each season (years running September-August), and the rate ratio (RR) of the 2022/23 season to the last comparably high season (2017/18). Results Recording of GAS cases and antibiotic prescription linked with a GAS case peaked in December 2022, higher than the 2017/2018 peak. The peak rate of monthly sore throat/tonsillitis (possible group A strep throat) recording was 5.33 per 1,000 (RR 2022/23 versus 2017/18 1.39 (CI: 1.38 to 1.40)). Scarlet fever recording peaked at 0.51 per 1,000 (RR 2.68 (CI: 2.59 to 2.77)), and invasive group A streptococcal infection (iGAS) at 0.01 per 1,000 (RR 4.37 (CI: 2.94 to 6.48)). First line antibiotics with a record of a GAS infection peaked at 2.80 per 1,000 (RR 1.37 (CI:1.35 to 1.38)), alternative antibiotics at 2.03 per 1,000 (RR 2.30 (CI:2.26 to 2.34)), and reserved antibiotics at 0.09 per 1,000 (RR 2.42 (CI:2.24 to 2.61). For individual antibiotics, azithromycin with GAS indication showed the greatest relative increase (RR 7.37 (CI:6.22 to 8.74)).This followed a sharp drop in recording of cases and associated prescriptions during the period of COVID-19 restrictions where the maximum count and rates were lower than any pre COVID-19 minimum. More detailed demographic breakdowns can be found in our regularly updated dashboard report. Conclusions Rates of scarlet fever, sore throat/tonsillitis and iGAS recording and associated antibiotic prescribing peaked in December 2022. Primary care data can supplement existing infectious disease surveillance through linkages with relevant prescribing data and detailed clinical and demographic subgroups.
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🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2023.09.22.23295850v1" target="_blank">Group A streptococcal cases and treatments during the COVID-19 pandemic and 2022 outbreak: a retrospective cohort study in England using OpenSAFELY-TPP</a>
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<li><strong>Positive selection underlies repeated knockout of ORF8 in SARS-CoV-2 evolution</strong> -
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Knockout of the ORF8 protein has repeatedly spread through the global viral population during SARS-CoV-2 evolution. Here we use both regional and global pathogen sequencing to explore the selection pressures underlying its loss. In Washington State, we identified transmission clusters with ORF8 knockout throughout SARS-CoV-2 evolution, not just on novel, high fitness viral backbones. Indeed, ORF8 is truncated more frequently and knockouts circulate for longer than for any other gene. Using a global phylogeny, we find evidence of positive selection to explain this phenomenon: nonsense mutations resulting in shortened protein products occur more frequently and are associated with faster clade growth rates than synonymous mutations in ORF8. Loss of ORF8 is also associated with reduced clinical severity, highlighting the diverse clinical impacts of SARS-CoV-2 evolution.
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🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2023.09.21.23295927v1" target="_blank">Positive selection underlies repeated knockout of ORF8 in SARS-CoV-2 evolution</a>
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<li><strong>Hierarchical assembly of single-stranded RNA</strong> -
<div>
Single-stranded RNA (ssRNA) plays a major role in the flow of genetic informationmost notably in the form of messenger RNA (mRNA)and in the regulation of biological processes. The highly dynamic nature of chains of unpaired nucleobases challenges structural characterizations of ssRNA by experiments or molecular dynamics (MD) simulations alike. Here we use hierarchical chain growth (HCG) to construct ensembles of ssRNA chains. HCG assembles the structures of protein and nucleic acid chains from fragment libraries created by MD simulations. Applied to homo- and heteropolymeric ssRNAs of different lengths, we find that HCG produces structural ensembles that overall are in good agreement with diverse experiments including nuclear magnetic resonance (NMR), small-angle X-ray scattering (SAXS), and single-molecule Forster resonance energy transfer (FRET). The agreement can be further improved by ensemble refinement using Bayesian inference of ensembles (BioEn). HCG can also be used to assemble RNA structures that combine base-paired and unpaired regions, as illustrated for the 5 untranslated region (UTR) of SARS-CoV-2 mRNA.
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🖺 Full Text HTML: <a href="https://www.biorxiv.org/content/10.1101/2023.08.01.551474v2" target="_blank">Hierarchical assembly of single-stranded RNA</a>
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<li><strong>Liver abnormalities following SARS-CoV-2 infection in children under 10 years of age</strong> -
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Objective: Beginning in October 2021 in the US and elsewhere, cases of severe pediatric hepatitis of unknown etiology were identified in young children. While the adenovirus and adenovirus-associated virus have emerged as leading etiologic suspects, we attempted to investigate a potential role for SARS-CoV-2 in the development of subsequent liver abnormalities. Design: We conducted a study utilizing retrospective cohorts of de-identified, aggregated data from the electronic health records of over 100 million patients contributed by US health care organizations. Results: Compared to propensity-score-matched children with other respiratory infections, children aged 1-10 years with COVID-19 had a higher risk of elevated transaminases (Hazard ratio (HR) (95% Confidence interval (CI)) 2.16 (1.74-2.69)) or total bilirubin (HR (CI) 3.02 (1.91-4.78)), or new diagnoses of liver diseases (HR (CI) 1.67 (1.21-2.30)) from one to six months after infection. Patients with pre-existing liver abnormalities, liver abnormalities surrounding acute infection, younger age (1-4 years), or illness requiring hospitalization all had similarly elevated risk. Children who developed liver abnormalities following COVID-19 had more pre-existing conditions than those who developed abnormalities following other infections. Conclusion: These results indicate that SARS-CoV-2 may prime the patient for subsequent development of liver infections or non-infectious liver diseases. While rare (~1 in 1,000), SARS-CoV-2 is a risk for subsequent abnormalities in liver function or the diagnosis of diseases of the liver.
</p>
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🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2023.09.21.23295905v1" target="_blank">Liver abnormalities following SARS-CoV-2 infection in children under 10 years of age</a>
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<li><strong>Simulation-based validation of a method to detect changes in SARS-CoV-2 reinfection risk</strong> -
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Background: Given the high global seroprevalence of SARS-CoV-2, understanding the risk of reinfection becomes increasingly important. Models developed to track trends in reinfection risk should be robust against possible biases arising from imperfect data observation processes. Objectives: We performed simulation-based validation of an existing catalytic model designed to detect changes in the risk of reinfection by SARS-CoV-2. Methods: The catalytic model assumes the risk of reinfection is proportional to observed infections. Validation involved using simulated primary infections, consistent with the number of observed infections in South Africa. We then simulated reinfection datasets that incorporated different processes that may bias inference, including imperfect observation and mortality, to assess the performance of the catalytic model. A Bayesian approach was used to fit the model to simulated data, assuming a negative binomial distribution around the expected number of reinfections, and model projections were compared to the simulated data generated using different magnitudes of change in reinfection risk. We assessed the approach9s ability to accurately detect changes in reinfection risk when included in the simulations, as well as the occurrence of false positives when reinfection risk remained constant. Key Findings: The model parameters converged in most scenarios leading to model outputs aligning with anticipated outcomes. The model successfully detected changes in the risk of reinfection when such a change was introduced to the data. Low observation probabilities (10%) of both primary- and re-infections resulted in low numbers of observed cases from the simulated data and poor convergence. Limitations: The model9s performance was assessed on simulated data representative of the South African SARS-CoV-2 epidemic, reflecting its timing of waves and outbreak magnitude. Model performance under similar scenarios may be different in settings with smaller epidemics (and therefore smaller numbers of reinfections). Conclusions: Ensuring model parameter convergence is essential to avoid false-positive detection of shifts in reinfection risk. While the model is robust in most scenarios of imperfect observation and mortality, further simulation-based validation for regions experiencing smaller outbreaks is recommended. Caution must be exercised in directly extrapolating results across different epidemiological contexts without additional validation efforts.
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🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2023.09.21.23295891v1" target="_blank">Simulation-based validation of a method to detect changes in SARS-CoV-2 reinfection risk</a>
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<li><strong>Anti-SARS-CoV-2 Antibody Levels Associated with COVID-19 Protection in Outpatients Tested for SARS-CoV-2, US Flu VE Network, October 2021 to June 2022</strong> -
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Background: We assessed the association between antibody concentration within 5 days of symptom onset and COVID-19 illness among patients enrolled in a test-negative study. Methods: From October 2021 to June 2022, study sites in seven states enrolled and tested respiratory specimens from patients of all ages presenting with acute respiratory illness for SARS-CoV-2 infection using rRT-PCR. In blood specimens, we measured concentration of anti-SARS-CoV-2 antibodies against the ancestral strain spike protein receptor binding domain (RBD) and nucleocapsid (N) antigens in standardized binding antibody units (BAU/mL). Percent reduction in odds of symptomatic COVID-19 by anti-RBD antibody was estimated using logistic regression modeled as (1-adjusted odds ratio of COVID-19)x100, adjusting for COVID-19 vaccination status, age, site, and high-risk exposure. Results: A total of 662 (33%) of 2,018 symptomatic patients tested positive for acute SARS-CoV-2 infection. During the Omicron-predominant period, geometric mean anti-RBD binding antibody concentrations measured 823 BAU/mL (95% CI:690 to 981) among COVID-19 case-patients versus 1,189 BAU/mL (95% CI:1,050 to 1,347) among SARS-CoV-2 test-negative patients. In the adjusted logistic regression, increasing levels of anti-RBD antibodies were associated with reduced odds of COVID-19 for both Delta and Omicron infections. Conclusion: Higher anti-RBD antibodies in patients were associated with protection against symptomatic COVID-19 during emergence of SARS-CoV-2 Delta and Omicron variants.
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🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2023.09.21.23295919v1" target="_blank">Anti-SARS-CoV-2 Antibody Levels Associated with COVID-19 Protection in Outpatients Tested for SARS-CoV-2, US Flu VE Network, October 2021 to June 2022</a>
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<li><strong>Intestinal microbiota programming of alveolar macrophages influences severity of respiratory viral infection</strong> -
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Investigating the influence of intestinal microbiota composition on respiratory viral infection (RVI) revealed that segmented filamentous bacteria (SFB), naturally acquired or exogenously administered, protected mice against influenza virus (IAV) infection, as assessed by viral titers, histopathology, and clinical disease features. Such protection, which also applied to RSV and SARS-CoV-2, was independent of interferon and adaptive immunity but required basally resident alveolar macrophages (AM), which, in SFB-negative mice, were quickly depleted as RVI progressed. Examination of AM from SFB-colonized mice revealed that they 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. Transplant of SFB-transformed AM into SFB-free hosts recapitulated SFB-mediated protection against IAV mechanistically linking intestinal microbiota, AM phenotype, and RVI severity.
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🖺 Full Text HTML: <a href="https://www.biorxiv.org/content/10.1101/2023.09.21.558814v1" target="_blank">Intestinal microbiota programming of alveolar macrophages influences severity of respiratory viral infection</a>
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<li><strong>TMPRSS2 activation of Omicron lineage Spike glycoproteins is regulated by TMPRSS2 cleavage of ACE2</strong> -
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Continued high levels spread of SARS-CoV-2 globally enabled accumulation of changes within the Spike glycoprotein, leading to resistance to neutralising antibodies and concomitant changes to entry requirements that increased viral transmission fitness. Herein, we demonstrate a significant change in ACE2 and TMPRSS2 use by primary SARS-CoV-2 isolates that occurred upon arrival of Omicron lineages. Mechanistically we show this shift to be a function of two distinct ACE2 pools based on cleavage or non-cleavage of ACE2 by TMPRSS2 activity. In engineered cells overexpressing ACE2 and TMPRSS2, ACE2 was cleaved by TMPRSS2 and this led to either augmentation or progressive attenuation of pre-Omicron and Omicron lineages, respectfully. In contrast, TMPRSS2 resistant ACE2 restored infectivity across all Omicron lineages through enabling ACE2 binding that facilitated TMPRSS2 spike activation. Therefore, our data support the tropism shift of Omicron lineages to be a function of evolution towards the use of uncleaved pools of ACE2 with the latter consistent with its role as a chaperone for many tissue specific amino acid transport proteins.
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🖺 Full Text HTML: <a href="https://www.biorxiv.org/content/10.1101/2023.09.22.558930v1" target="_blank">TMPRSS2 activation of Omicron lineage Spike glycoproteins is regulated by TMPRSS2 cleavage of ACE2</a>
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<li><strong>Healthcare system barriers impacting the care of Canadians with myalgic encephalomyelitis: a scoping review</strong> -
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Background: Myalgic encephalomyelitis (ME, also known as chronic fatigue syndrome or ME/CFS) is a debilitating, complex, multi-system illness. Developing a comprehensive understanding of the multiple and interconnected barriers to optimal care will help advance strategies and care models to improve quality of life for people living with ME in Canada. Objectives: To: (1) identify and systematically map the available evidence; (2) investigate the design and conduct of research; (3) identify and categorize key characteristics; and (4) identify and analyze knowledge gaps related to healthcare system barriers for people living with ME in Canada. Methods: The protocol was preregistered in July 2022. Peer-reviewed and grey literature was searched, and patient partners retrieved additional records. Eligible records were Canadian, included people with ME/CFS and included data or synthesis relevant to healthcare system barriers. Results: In total, 1821 records were identified, 406 were reviewed in full, and 21 were included. Healthcare system barriers arose from an underlying lack of consensus and research on ME and ME care; the impact of long-standing stigma, disbelief, and sexism; inadequate or inconsistent healthcare provider education and training on ME; and the heterogeneity of care coordinated by family physicians. Conclusions: People living with ME in Canada face significant barriers to care, though this has received relatively limited attention. This synthesis, which points to several areas for future research, can be used as a starting point for researchers, healthcare providers and decision-makers who are new to the area or encountering ME more frequently due to the COVID-19 pandemic.
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🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2023.09.20.23295809v2" target="_blank">Healthcare system barriers impacting the care of Canadians with myalgic encephalomyelitis: a scoping review</a>
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<li><strong>Spatio-temporal surveillance and early detection of SARS-CoV-2 variants of concern: a retrospective analysis</strong> -
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The SARS-CoV-2 pandemic has been characterized by the repeated emergence of genetically distinct virus variants of increased transmissibility and immune evasion compared to pre-existing lineages. In many countries, their containment required the intervention of public health authorities and the imposition of control measures. While the primary role of testing is to identify infection, target treatment, and limit spread (through isolation and contact tracing), a secondary benefit is in terms of surveillance and the early detection of new variants. Here we study the spatial invasion and early spread of the Alpha, Delta, and Omicron (BA.1 and BA.2) variants in England from September 2020 to February 2022 using the random neighbourhood covering (RaNCover) method. This is a statistical technique for the detection of aberrations in spatial point processes, which we tailored here to community PCR (polymerase-chain-reaction) test data where the TaqPath kit provides a proxy measure of the switch between variants. Retrospectively, RaNCover detected the earliest signals associated with the four novel variants that led to large infection waves in England. With suitable data our method therefore has the potential to rapidly detect outbreaks of future SARS-CoV-2 variants, thus helping to inform targeted public health interventions.
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🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2023.07.06.23292295v2" target="_blank">Spatio-temporal surveillance and early detection of SARS-CoV-2 variants of concern: a retrospective analysis</a>
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<li><strong>Human origin ascertained for SARS-CoV-2 Omicron-like spike sequences detected in wastewater: a targeted surveillance study of a cryptic lineage in an urban sewershed</strong> -
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Summary Background: The origin of novel SARS-CoV-2 spike sequences found in wastewater, without corresponding detection in clinical specimens, remains unclear. We sought to determine the origin of one such “cryptic” wastewater lineage by tracking and characterizing its persistence and genomic evolution over time. Methods: We first detected a cryptic lineage in Wisconsin municipal wastewater in January 2022. By systematically sampling wastewater from targeted sub-sewershed lines and maintenance holes using compositing autosamplers, we traced this lineage (labeled WI-CL-001) to its source at a single commercial building. There we detected WI-CL-001 at concentrations as high as 2.7 x 109 genome copies per liter (gc/L) via RT-dPCR. In addition to using metagenomic 12s rRNA sequencing to determine the virus9s host species, we also sequenced SARS-CoV-2 spike receptor binding domains (RBDs), and where possible, whole viral genomes to identify and characterize the evolution of this lineage over the 13 consecutive months that it was detectable. Findings: The vast majority of 12s rRNAs sequenced from wastewater leaving the identified source building were human. Additionally, we generated over 100 viral RBD and whole genome sequences from wastewater samples containing the cryptic lineage collected between January 2022 and January 2023. These sequences contained a combination of fixed nucleotide substitutions characteristic of Pango lineage B.1.234, which circulated in humans in Wisconsin at low levels from October 2020 to February 2021. Despite this, mutations in the spike gene, and elsewhere, resembled those subsequently found in Omicron variants. Interpretation: We propose that prolonged detection of WI-CL-001 in wastewater represents persistent shedding of SARS-CoV-2 from a single human initially infected by an ancestral B.1.234 virus. The accumulation of convergent “Omicron-like” mutations in WI-CL-0019s ancestral B.1.234 genome likely reflects persistent infection and extensive within-host evolution. Funding: The Rockefeller Foundation, Wisconsin Department of Health Services, Centers for Disease Control and Prevention (CDC), National Institute on Drug Abuse (NIDA), and the Center for Research on Influenza Pathogenesis and Transmission. Research in context Evidence before this study: To identify other studies that characterized unusual wastewater-specific SARS-CoV-2 lineages, we conducted a PubMed search using the keywords “cryptic SARS-CoV-2 lineages” or “novel SARS-CoV-2 lineages” in addition to “wastewater” on May 9, 2023. From the 18 papers retrieved, only two reported wastewater-specific cryptic lineages. These lineages were identified by members of our author team in wastewater from California, Missouri, and New York City. None of these could be definitively traced to a specific source. A third study in Nevada identified a unique recombinant variant (designated Pango lineage XL) in wastewater, which was also discovered in two clinical specimens from the same community. However, it was unclear whether the clinical specimens collected were from the same individual(s) responsible for the virus detected in the wastewater. To our knowledge, no prior study has successfully traced novel SARS-CoV-2 lineages detected in wastewater back to a specific location. How and where cryptic lineages are introduced into wastewater is not known. The added value of this study: This study documents the presence and likely source of a novel and highly divergent cryptic SARS-CoV-2 lineage detected in Wisconsin wastewater for 13 months. In contrast to previously reported cryptic lineages, we successfully traced the lineage (WI-CL-001) to a single commercial building with approximately 30 employees. The exceptionally high viral RNA concentrations at the source building facilitated the tracing effort and allowed for the sequencing of WI-CL-0019s whole genome, expanding our view of the lineage9s mutational landscape beyond the spike gene. Implications of all the available evidence: WI-CL-0019s persistence in wastewater, its heavily mutated Omicron-like genotype, and its identified point source at a human-occupied commercial building all support the hypothesis that cryptic wastewater lineages can arise from persistently infected humans. Because cryptic wastewater lineages have some amino acid changes that subsequently emerge in circulating viruses, increased global monitoring of such lineages could help forecast variants that may arise in the future.
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🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2022.10.28.22281553v5" target="_blank">Human origin ascertained for SARS-CoV-2 Omicron-like spike sequences detected in wastewater: a targeted surveillance study of a cryptic lineage in an urban sewershed</a>
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<li><strong>Occupational Health Management in New Work - a Protocol for a Mixed-Method Study: Project BGM4NewWork</strong> -
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Background: The world of work is undergoing profound changes towards agile, flexible, democratic, and digital forms of work, so called New Work (NW). The COVID-19 pandemic accelerated these changes and confronted the working world with new challenges. Effects on employee health are ambivalent and remain unclear. Moreover, there is a lack of evidence as to whether existing occupational health management (OHM) measures meet the needs of employees working in new forms of work. Methods/Design: This prospective mixed-method project will include four substudies to identify different NW forms, resulting health risk, benefits and protective factors in subgroups, and derive target group-specific OHM services. In the four substudies, the following methods will be used: (1) a scoping review, semi-standardized interviews, and an online survey, (2) a systematic review, an online survey, an expert workshop and qualitative interviews, (3) workplace observations, and (4) expert workshops. Recommendations for action will be derived from the findings of all substudies and summarized in a checklist for OHM in NW settings. Conclusion: Findings will expand the state of knowledge about NW settings and associated health effects. The development of an evidence-based checklist for target group-specific identification of NW settings and associated health risks, benefits and protective factors can be used as a basis for action regarding OHM in companies. The findings can provide guidance on how future OHM services should be designed to meet the needs of employees.
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🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2023.09.21.23295923v1" target="_blank">Occupational Health Management in New Work - a Protocol for a Mixed-Method Study: Project BGM4NewWork</a>
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<li><strong>Targeted MRM-analysis of plasma proteins in frozen whole blood samples from patients with COVID-19</strong> -
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The COVID-19 pandemic has exposed a number of key challenges that need to be urgently addressed. In particular, rapid identification and validation of prognostic markers is required. Mass spectrometric studies of blood plasma proteomics provide a deep understanding of the relationship between the severe course of infection and activation of specific pathophysiological pathways. Analysis of plasma proteins in whole blood may also be relevant for the pandemic as it requires minimal sample preparation. Here, for the first time, frozen whole blood samples were used to analyze 189 plasma proteins using multiple reaction monitoring (MRM) mass spectrometry and stable isotope-labeled peptide standards (SIS). A total of 128 samples (FRCC, Russia) from patients with mild (n=40), moderate (n=36) and severe (n=19) COVID-19 infection and healthy controls (n=33) were analyzed. Levels of 114 proteins were quantified and compared. Significant differences between all of the groups were revealed for 61 proteins. Changes in the levels of 30 reproducible COVID-19 markers (SERPING1, CRP, C9, ORM1, APOA1, SAA1/SAA2, LBP, AFM, IGFALS, etc.) were consistent with studies performed with serum/plasma samples. Levels of 70 proteins correlated between whole blood and plasma samples. The best-performing classifier built with 13 significantly different proteins achieved the best combination of ROC-AUC (0.93-0.95) and accuracy (0.87-0.93) metrics and distinguished patients from controls, as well as patients by severity and risk of mortality. Overall, the results support the use of frozen whole blood for MRM analysis of plasma proteins and assessment of the status of patients with COVID-19.
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🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2023.09.20.23295832v1" target="_blank">Targeted MRM-analysis of plasma proteins in frozen whole blood samples from patients with COVID-19</a>
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<h1 data-aos="fade-right" id="from-clinical-trials">From Clinical Trials</h1>
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<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>Safety of Simultaneous mRNA COVID-19 Vaccine With Other Childhood Vaccines in Young Children</strong> - <b>Conditions</b>:   Fever After Vaccination;   Fever;   Seizures Fever<br/><b>Interventions</b>:   Biological: Pfizer-BioNTech COVID-19 Vaccine;   Biological: Routine Childhood Vaccinations<br/><b>Sponsors</b>:   Duke University;   Kaiser Permanente;   Columbia University;   Childrens Hospital Medical Center, Cincinnati;   Centers for Disease Control and Prevention<br/><b>Not yet recruiting</b></p></li>
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<h1 data-aos="fade-right" id="from-pubmed">From PubMed</h1>
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<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>A Brighton Collaboration standardized template with key considerations for a benefit/risk assessment for the Novavax COVID-19 Vaccine (NVX-CoV2373), a recombinant spike protein vaccine with Matrix-M adjuvant to prevent disease caused by SARS-CoV-2 viruses</strong> - Novavax, a global vaccine company, began evaluating NVX-CoV2373 in human studies in May 2020 and the pivotal placebo-controlled phase 3 studies started in November 2020; five clinical studies provided adult and adolescent clinical data for over 31,000 participants who were administered NVX-CoV2373. This extensive data has demonstrated a well-tolerated response to NVX-CoV2373 and high vaccine efficacy against mild, moderate, or severe COVID-19 using a two-dose series (Dunkle et al., 2022) [1],…</p></li>
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<h1 data-aos="fade-right" id="from-patent-search">From Patent Search</h1>
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