Alpha Variants Research Articles

Effects of SNPs on TNF-α and IL-10 cytokine expression in TB and HIV patients in the Capricorn district, Limpopo Province, South Africa

Background: The impact of Tuberculosis (TB) places an immense burden on the health care system. Infection with HumanImmunodeficiency Virus (HIV) is a significant risk factor in the development and progression of TB disease. Single NucleotidePolymorphisms (SNPs) in the promoter region of Interleukin-10 (IL-10) and Tumour Necrotic Factor-Alpha (TNF-α) may playa major role in the disease mechanism and understanding these mechanisms might prove to be a useful diagnostic tool in evaluatingthe immune regulation and progression of the disease.
 Objective: This study aimed to determine the relationship between cytokine levels and gene variants of Interleukin-10 and TumourNecrotic Factor Alpha in TB and HIV-infected participants.
 Methods: Cytokine levels were determined by ELISA, and SNPs were determined by MassArray®.
 Results: The levels of TNF-α were higher in the TB group than the HIV (p < 0.001) and TB-HIV (p = 0.011) groups, but similar to the TNF-α levels in the control group. In the HIV group, IL-10 levels were higher than those of the TB (p < 0.001) and control groups (p = 0.039), whereas there was no difference between the IL-10 levels in the HIV and the TB-HIV infection groups. The ratio was determined and there were no differences between the four infection groups. In this study, no associations were detected between the circulating plasma levels of TNF-α and IL-10 and their genotypes.
 Conclusion: Our data showed that the gene variants were not associated with circulating plasma levels of TNF-α and IL-10 in our study population. A pro-inflammatory environment was found in the TB and TB-HIV groups, which is suggesting of bacterial clearance, while an anti-inflammatory environment was found in the HIV group, which suggests the suppression ofviral replication.
 Keywords: Tuberculosis; Human immunodeficiency virus; interleukin-10.

SARS-CoV-2 journey: from alpha variant to omicron and its sub-variants.

The COVID-19 pandemic has affected hundreds of millions of individuals and caused more than six million deaths. The prolonged pandemic duration and the continual inter-individual transmissibility have contributed to the emergence of a wide variety of SARS-CoV-2 variants. Genomic surveillance and phylogenetic studies have shown that substantial mutations in crucial supersites of spike glycoprotein modulate the binding affinity of the evolved SARS-COV-2 lineages to ACE2 receptors and modify the binding of spike protein with neutralizing antibodies. The immunological spike mutations have been associated with differential transmissibility, infectivity, and therapeutic efficacy of the vaccines and the immunological therapies among the new variants. This review highlights the diverse genetic mutations assimilated in various SARS-CoV-2 variants. The implications of the acquired mutations related to viral transmission, infectivity, and COVID-19 severity are discussed. This review also addresses the effectiveness of human neutralizing antibodies induced by SARS-CoV-2 infection or immunization and the therapeutic antibodies against the ascended variants.

[Effectiveness of COVID-19 mRNA vaccine against hospitalization during the alpha and delta variant surges in Tokyo].

Objective　Evidence on COVID-19 vaccine effectiveness outside of clinical trials is insufficient. We aimed to determine the real-world effectiveness of mRNA vaccines in preventing hospitalization via data from the Health Center Real-time Information-sharing System on COVID-19 (HER-SYS), a national public database on COVID-19 cases in Japan.Methods　This case-control study targeted residents of Minato-ward, Tokyo, aged ≥50 years, who were COVID-19 positive between May 17 and Sep 30, 2021 (the alpha and delta strains-dominant period). Those hospitalized within 10 days of onset or diagnosis were considered the case group and control patients were not hospitalized. Patients were grouped according to vaccination status; group 1, unvaccinated, groups 2 and 3, who received the first dose ≤14 days and ≥15 days, respectively, and groups 4 and 5, who received the second dose ≤14 and ≥15 days before onset, respectively. To estimate vaccine effectiveness, adjusted odd ratios (OR) were calculated for each group against group 1. Furthermore, to determine other risk factors for hospitalization, OR were calculated for age, sex, and presence of any underlying diseases.Results　This study analyzed 192 case and 366 control patients. The adjusted OR were 1.48 (95% Cl=0.88-2.50), 0.71 (95% Cl=0.27-1.80), 0.58 (95% Cl=0.20-1.66), and 0.30 (95% Cl=0.13-0.67) for groups 2-5, respectively. Additionally, the adjusted OR were 1.57 (95% Cl=1.07-2.29), 1.05 (95% Cl=1.03-1.07), and 1.69 (95% Cl=1.15-2.48) for presence of underlying disease, 1-year increase of age, and men, respectively.Conclusion　Patients aged ≥50 years who received the second dose of the mRNA vaccine ≥15 days before onset had a significantly lower risk of hospitalization. Additionally, older age, men, and presence of underlying diseases were risk factors for hospitalization. Further studies on vaccine effectiveness to prevent severe diseases, hospitalization, and death following booster immunization during the omicron strain-dominant period are warranted.

Molecular Epidemiology of SARS-CoV-2 within Accra Metropolis Postlockdown.

Currently, sequencing has been the only tool for the identification of circulating severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) variants. However, it is known to be an expensive and laborious approach involving high technical expertise. Considering the reduced adherence to preventive measures postlockdown in Accra, this study presents an alternative method that leverages polymerase chain reaction (PCR) to identify circulating SARS-CoV-2 variants in the Accra Metropolis postlockdown. This prospective cross-sectional study was conducted between July and December 2022. Nasopharyngeal samples were collected from 268 consenting participants. Samples were subjected to nucleic acid extraction and followed by real-time polymerase chain reaction for the detection and quantification of SARS-CoV-2 RNA. SARS-CoV-2 positive samples were subsequently subjected to variant identification using rapid PCR. Findings. The prevalence of SARS-CoV-2 within the Accra Metropolis was 30.2%. The majority of the SARS-CoV-2 infection was diagnosed in females, participants aged 41-50 years, and symptomatic participants. Participants aged ≤10 years and females recorded the highest viral load while participants aged 41-50 years recorded the highest number of infections. The SARS-CoV-2 variants detected were Alpha (64.2%), Delta (22.2%), and Omicron (13.6%). Predictors of SARS-CoV-2 infection identified were chills, cough, headache, body weakness, sore throat, and dyspnoea in order of decreasing association with SARS-CoV-2 infection. There was a strong association between symptom status, gender, age, and SARS-CoV-2 infection. There was a high prevalence of SARS-CoV-2 within the Accra Metropolis postlockdown within the sampling period. The Alpha variant of SARS-CoV-2 is the predominant circulating variant, and persons presenting with symptoms are most likely to be diagnosed with COVID-19. Children aged ≤10 years serve as a reservoir for infection transmission.

Influence of Mutations and N-Glycosylation Sites in the Receptor-Binding Domain (RBD) and the Membrane Protein of SARS-CoV-2 Variants of Concern on Antibody Binding in ELISA

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can infect human cells by first attaching to the ACE-2 receptor via its receptor-binding domain (RBD) in the spike protein. Here, we report the influence of N-glycosylation sites of the RBD and the membrane (M) protein on IgG antibody binding in serum samples from patients infected with the original SARS-CoV-2 strain in Germany. The RBDs of the wildtype, alpha, beta, gamma, and kappa variants expressed in HEK293S GnTI− cells were all N-glycosylated at Asn331, Asn334, Asn343, and Asn360 or Asn370, whereas the M-protein was glycosylated at Asn5. An ELISA using a coated RBD and probed with anti-RBD IgG antibodies gave a sensitivity of 96.3% and a specificity of 100% for the wildtype RBD, while the sensitivity decreased by 5% to 10% for the variants of concern, essentially in the order of appearance. Deglycosylation of the wildtype RBD strongly reduced antibody recognition by ~20%, considering the mean of the absorbances recorded for the ELISA. This effect was even stronger for the unglycosylated RBD expressed in Escherichia coli, suggesting structural changes affecting epitope recognition. Interestingly, the N-glycosylated M-protein expressed in HEK293S GnTI− cells gave good sensitivity (95%), which also decreased to 65% after deglycosylation, and selectivity (100%). In conclusion, N-glycosylation of the M-protein, the RBD, and most likely the spike protein are important for proper antibody binding and immunological assays, whereas the type of N-glycosylation is less relevant.

Suppression of the alpha, delta, and omicron variants of SARS-Cov-2 in Taiwan.

Taiwan was a coronavirus disease 2019 (COVID-19) outlier, with an extraordinarily long transmission-free record: 253 days without locally transmitted infections while the rest of the world battled wave after wave of infection. The appearance of the alpha variant in May 2021, closely followed by the delta variant, disrupted this transmission-free streak. However, despite low vaccination coverage (<1%), outbreaks were well-controlled. This study analyzed the time to border closure and conducted one-sample t test to compare between Taiwan and Non-Taiwan countries prior to vaccine introduction. The study also collected case data to observe the dynamics of omicron transmission. Time-varying reproduction number,Rt, was calculated and was used to reflect infection impact at specified time points and model trends of future incidence. The study analyzed and compare the time to border closure in Taiwan and non-Taiwan countries. The mean times to any border closure from the first domestic case within each country were -21 and 5.98 days, respectively (P < .0001). The Taiwanese government invested in quick and effective contact tracing with a precise quarantine strategy in lieu of a strict lockdown. Residents followed recommendations based on self-discipline and unity. The self-discipline in action is evidenced in Google mobility reports. The central and local governments worked together to enact non-pharmaceutical interventions (NPIs), including universal masking, social distancing, limited unnecessary gatherings, systematic contact tracing, and enhanced quarantine measures. The people cooperated actively with pandemic-prevention regulations, including vaccination and preventive NPIs. This article describes four key factors underlying Taiwan's success in controlling COVID-19 transmission: quick responses; effective control measures with new technologies and rolling knowledge updates; unity and cooperation among Taiwanese government agencies, private companies and organizations, and individual citizens; and Taiwanese self-discipline.

Epitope mapping of SARS-CoV-2 RBDs by hydroxyl radical protein footprinting reveals the importance of including negative antibody controls

Understanding protein-protein interactions is crucial for drug design and investigating biological processes. Various techniques, such as CryoEM, X-ray spectroscopy, linear epitope mapping, and mass spectrometry-based methods, can be employed to map binding regions on proteins. Commonly used mass spectrometry-based techniques are cross-linking and hydrogen‑deuterium exchange (HDX). Another approach, hydroxyl radical protein footprinting (HRPF), identifies binding residues on proteins but faces challenges due to high initial costs and complex setups.This study introduces a generally applicable method using Fenton chemistry for epitope mapping in a standard mass spectrometry laboratory. It emphasizes the importance of controls, particularly the inclusion of a negative antibody control, not widely utilized in HRPF epitope mapping. Quantification by TMT labelling is introduced to reduce false positives, enabling direct comparison between sample conditions and biological triplicates. Additionally, six technical replicates were incorporated to enhance the depth of analysis.Observations on the receptor-binding domain (RBD) of SARS-CoV-2 Spike Protein, Alpha and Delta variants, revealed both binding and opening regions. Significantly changed peptides upon mixing with a negative control antibody suggested structural alterations or nonspecific binding induced by the antibody alone. Integration of negative control antibody experiments and high overlap between biological triplicates led to the exclusion of 40% of significantly changed regions. The final identified binding region correlated with existing literature on neutralizing antibodies against RBD.The presented method offers a straightforward implementation for HRPF analysis in a generic mass spectrometry-based laboratory. Enhanced data reliability was achieved through increased technical and biological replicates alongside negative antibody controls.

Detection of SARS-CoV-2 variants distributed from March 2020 to May 2022 and their effect on the infection severity in Iraqi population

New SARS-CoV-2 variants appeared in late December 2020 as Mutations accumulated in the original virus. This study aimed to provide a local database about variants of COVID-19 circulating in the Iraqi population from 2020 to 2022 and the time of emergence of new strains each month since very few local studies have documented its existence in the country. Real-time reverse transcriptase polymerase chain reaction (rRT-PCR) assays were employed to 319 collected and analyzed nasal swabs to determine whether an infection had occurred. A sophisticated diagnostic kit that sorted the distinctive mutations was implemented to evaluate the variants. Results showed Younger patients were more likely to be infected with the Alpha variant (66 patients) than older people (43 patients). Additionally, patients with wild-type infestations had more robust viral load and lower Ct threshold values, culminating in an increase in severity during infection with wild-type virus 26/32 (81.250). Meanwhile, 65/109(59.63%) of patients infected with the Alpha variant developed severe and critical illness and 51/84(60.71%)were infected with Delta or Delta plus variants. In conclusion, the Alpha variant had the highest infection percentage of 109(46.6%), followed by Delta or Delta plus variant 84(26.33%), Beta or Gamma variants 47(20.1%), Omicron variant 46(19.6%), and finally wild-type virus of 32(13.7%). February 2020 witnessed a preliminary finding of the wild-type, while the Alpha variant emerged in December 2020, Beta/Gamma variances were recognized in December 2020, Delta/Delta plus variances began in April 2021, and the Omicron variant debuted in March 2022. Keywords: SARS-CoV-2, Mutation, rRT-PCR, Coronavirus disease 2019, TaqPath, cycle threshold (Ct) value

Detection of SARS-CoV-2 variants distributed from March 2020 to May 2022 and their effect on the infection severity in Iraqi population

New SARS-CoV-2 variants appeared in late December 2020 as Mutations accumulated in the original virus. This study aimed to provide a local database about variants of COVID-19 circulating in the Iraqi population from 2020 to 2022 and the time of emergence of new strains each month since very few local studies have documented its existence in the country. Real-time reverse transcriptase polymerase chain reaction (rRT-PCR) assays were employed to 319 collected and analyzed nasal swabs to determine whether an infection had occurred. A sophisticated diagnostic kit that sorted the distinctive mutations was implemented to evaluate the variants. Results showed Younger patients were more likely to be infected with the Alpha variant (66 patients) than older people (43 patients). Additionally, patients with wild-type infestations had more robust viral load and lower Ct threshold values, culminating in an increase in severity during infection with wild-type virus 26/32 (81.250). Meanwhile, 65/109(59.63%) of patients infected with the Alpha variant developed severe and critical illness and 51/84(60.71%)were infected with Delta or Delta plus variants. In conclusion, the Alpha variant had the highest infection percentage of 109(46.6%), followed by Delta or Delta plus variant 84(26.33%), Beta or Gamma variants 47(20.1%), Omicron variant 46(19.6%), and finally wild-type virus of 32(13.7%). February 2020 witnessed a preliminary finding of the wild-type, while the Alpha variant emerged in December 2020, Beta/Gamma variances were recognized in December 2020, Delta/Delta plus variances began in April 2021, and the Omicron variant debuted in March 2022. Keywords: SARS-CoV-2, Mutation, rRT-PCR, Coronavirus disease 2019, TaqPath, cycle threshold (Ct) value

Unsupervised identification of significant lineages of SARS-CoV-2 through scalable machine learning methods

Since its emergence in late 2019, SARS-CoV-2 has diversified into a large number of lineages and caused multiple waves of infection globally. Novel lineages have the potential to spread rapidly and internationally if they have higher intrinsic transmissibility and/or can evade host immune responses, as has been seen with the Alpha, Delta, and Omicron variants of concern. They can also cause increased mortality and morbidity if they have increased virulence, as was seen for Alpha and Delta. Phylogenetic methods provide the "gold standard" for representing the global diversity of SARS-CoV-2 and to identify newly emerging lineages. However, these methods are computationally expensive, struggle when datasets get too large, and require manual curation to designate new lineages. These challenges provide a motivation to develop complementary methods that can incorporate all of the genetic data available without down-sampling to extract meaningful information rapidly and with minimal curation. In this paper, we demonstrate the utility of using algorithmic approaches based on word-statistics to represent whole sequences, bringing speed, scalability, and interpretability to the construction of genetic topologies. While not serving as a substitute for current phylogenetic analyses, the proposed methods can be used as a complementary, and fully automatable, approach to identify and confirm new emerging variants.

Omicron breakthrough infections after triple-dose inactivated COVID-19 vaccination: A comprehensive analysis of antibody and T-cell responses.

This study longitudinally evaluated the immune response in individuals over a year after receiving three doses of an inactivated SARS-CoV-2 vaccine, focusing on reactions to Omicron breakthrough infections. From 63 blood samples of 37 subjects, results showed that the third booster enhanced the antibody response against Alpha, Beta, and Delta VOCs but was less effective against Omicron. Although antibody titres decreased post-vaccination, SARS-CoV-2-specific T-cell responses, both CD4+ and CD8+ , remained stable. Omicron breakthrough infections significantly improved neutralization against various VOCs, including Omicron. However, the boost in antibodies against WT, Alpha, Beta, and Delta variants was more pronounced. Regarding T cells, breakthrough infection predominantly boosted the CD8+ T-cell response, and the intensity of the spike protein-specific T-cell response was roughly comparable between WT and Omicron BA.5.

Genomic characterization of SARS-CoV-2 in Guinea, West Africa.

SARS-CoV-2 has claimed several million lives since its emergence in late 2019. The ongoing evolution of the virus has resulted in the periodic emergence of new viral variants with distinct fitness advantages, including enhanced transmission and immune escape. While several SARS-CoV-2 variants of concern trace their origins back to the African continent-including Beta, Eta, and Omicron-most countries in Africa remain under-sampled in global genomic surveillance efforts. In an effort to begin filling these knowledge gaps, we conducted retrospective viral genomic surveillance in Guinea from October 2020 to August 2021. We found that SARS-CoV-2 clades 20A, 20B, and 20C dominated throughout 2020 until the coincident emergence of the Alpha and Eta variants of concern in January 2021. The Alpha variant remained dominant throughout early 2021 until the arrival of the Delta variant in July. Surprisingly, despite the small sample size of our study, we also found the persistence of the early SARS-CoV-2 clade 19B as late as April 2021. Together, these data help fill in our understanding of the SARS-CoV-2 population dynamics in West Africa early in the COVID-19 pandemic.

SARS-CoV-2 virus-like particle variants alpha and delta mimic the native viruses in their differential inflammasome activating potential

The emerging SARS-CoV-2 variants are evolving to evade human immunity and differ in their pathogenicity. While evasion of the variants from adaptive immunity is widely investigated, there is a paucity of knowledge about their interactions with innate immunity. Inflammasome assembly is one of the most potent mechanisms of the early innate response to viruses, but when it is inappropriate, it can perpetuate tissue damage. In this study, we focused on the capacity of SARS-CoV-2 Alpha and Delta variants to activate the NLRP3 inflammasome. We compared the macrophage activation, particularly the inflammasome formation, using Alpha- and Delta-spike virus-like particles (VLPs). We found that VLPs of both variants activated the inflammasome even without a priming step. Delta-spike VLPs had a significantly stronger effect on triggering pyroptosis and inflammasome assembly in THP-1 macrophages than did Alfa-spike VLPs. Cells treated with Delta VLPs showed greater cleavage of caspase-1 and IL-1β release. Furthermore, Delta VLPs induced stronger cytokine secretion from macrophages and caused essential impairment of mitochondrial respiration in comparison to Alpha VLPs. Additionally, infection of primary human monocyte-derived macrophages with the SARS-CoV-2 variants confirmed the observations in VLPs. Collectively, we revealed that SARS-CoV-2 Delta had a greater impact on the inflammasome activation, cell death and mitochondrial respiration in macrophages than did the Alpha variant. Importantly, the differential response to the SARS-CoV-2 variants can influence the efficacy of therapies targeting the host's innate immunity.

A multiscale modeling framework for Scenario Modeling: Characterizing the heterogeneity of the COVID-19 epidemic in the US

The Scenario Modeling Hub (SMH) initiative provides projections of potential epidemic scenarios in the United States (US) by using a multi-model approach. Our contribution to the SMH is generated by a multiscale model that combines the global epidemic metapopulation modeling approach (GLEAM) with a local epidemic and mobility model of the US (LEAM-US), first introduced here. The LEAM-US model consists of 3142 subpopulations each representing a single county across the 50 US states and the District of Columbia, enabling us to project state and national trajectories of COVID-19 cases, hospitalizations, and deaths under different epidemic scenarios. The model is age-structured, and multi-strain. It integrates data on vaccine administration, human mobility, and non-pharmaceutical interventions. The model contributed to all 17 rounds of the SMH, and allows for the mechanistic characterization of the spatio-temporal heterogeneities observed during the COVID-19 pandemic. Here we describe the mathematical and computational structure of our model, and present the results concerning the emergence of the SARS-CoV-2 Alpha variant (lineage designation B.1.1.7) as a case study. Our findings show considerable spatial and temporal heterogeneity in the introduction and diffusion of the Alpha variant, both at the level of individual states and combined statistical areas, as it competes against the ancestral lineage. We discuss the key factors driving the time required for the Alpha variant to rise to dominance within a population, and quantify the impact that the emergence of the Alpha variant had on the effective reproduction number at the state level. Overall, we show that our multiscale modeling approach is able to capture the complexity and heterogeneity of the COVID-19 pandemic response in the US.

Gut microbiota and metabolites in patients with COVID-19 are altered by the type of SARS-CoV-2 variant.

Patients with COVID-19 have dysbiosis of the intestinal microbiota with altered metabolites in the stool. However, it remains unclear whether the differences among SARS-CoV-2 variants lead to differences in intestinal microbiota and metabolites. Thus, we compared the microbiome and metabolome changes for each SARS-CoV-2 variant in patients with COVID-19. We conducted a multicenter observational study of patients with COVID-19 and performed fecal microbiome, metabolome, and calprotectin analyses and compared the results among the different SARS-CoV-2 variants. Twenty-one patients with COVID-19 were enrolled and stratified according to the SARS-CoV-2 strain: six with the Alpha, 10 with the Delta, and five with the Omicron variant. Fecal microbiome analysis showed that α-diversity was reduced in the order of the Omicron, Delta, and Alpha variants (p = 0.07). Linear discriminant analysis revealed differences in the abundance of short-chain fatty acid-producing gut microbiota for each SARS-CoV-2 variant. Fecal metabolome analysis showed that the Omicron and Delta variants had markedly reduced propionic and lactic acid levels compared to the Alpha strain (p < 0.05). The intestinal microbiota of patients with COVID-19 varies depending on the SARS-CoV-2 variant. Dysbiosis of the intestinal microbiota due to differences in SARS-CoV-2 variants causes a decrease in intestinal short-chain fatty acids.

Detection of infectious SARS-CoV-2 in ocular samples is linked to viral load in the nasopharynx.

SARS-CoV-2 is known to infect respiratory tissue cells. However, less is known about infection of ocular tissue and potential infectivity of lacrimal fluid. With this study, we want to compare viral loads in eye and nasopharyngeal swabs and analyze these for infectious virus. Between May 2020 and April 2021 ocular and nasopharyngeal swabs were collected from 28 SARS-CoV-2 infected patients treated on the corona virus disease 2019 (COVID-19)-ward of the University Hospital of Innsbruck, Austria. Samples with PCR detectable SARS-CoV-2 were analyzed via whole genome sequencing and an attempt was made to isolate infectious virus. At the time point of sample collection, 22 individuals were still PCR positive in nasopharyngeal samples and in 6 of these patients one or both ocular samples were additionally positive. CT-values in eyes were generally higher compared to corresponding nasopharyngeal samples and we observed a tendency for lower CT-values, i.e. increased viral load, in nasopharyngeal swabs of individuals with at least one infected eye, compared to those where ocular samples were PCR negative. Ocular and nasopharyngeal sequences from the same patient were assigned to the same variant, either the D614G or the Alpha variant. Infectious virus was successfully isolated from 9 nasopharyngeal swabs, however only from one of the seven PCR positive ocular samples. We could detect SARS-CoV-2 in eyes of some of the infected patients albeit at lower levels compared to nasopharyngeal swabs. However, our results also indicate that lacrimal fluid might be infectious in patients with high viral load.

Host and viral determinants of airborne transmission of SARS-CoV-2 in the Syrian hamster

It remains poorly understood how SARS-CoV-2 infection influences the physiological host factors important for aerosol transmission. We assessed breathing pattern, exhaled droplets, and infectious virus after infection with Alpha and Delta variants of concern (VOC) in the Syrian hamster. Both VOCs displayed a confined window of detectable airborne virus (24–48 hr), shorter than compared to oropharyngeal swabs. The loss of airborne shedding was linked to airway constriction resulting in a decrease of fine aerosols (1–10 µm) produced, which are suspected to be the major driver of airborne transmission. Male sex was associated with increased viral replication and virus shedding in the air. Next, we compared the transmission efficiency of both variants and found no significant differences. Transmission efficiency varied mostly among donors, 0–100% (including a superspreading event), and aerosol transmission over multiple chain links was representative of natural heterogeneity of exposure dose and downstream viral kinetics. Co-infection with VOCs only occurred when both viruses were shed by the same donor during an increased exposure timeframe (24–48 hr). This highlights that assessment of host and virus factors resulting in a differential exhaled particle profile is critical for understanding airborne transmission.

Host and viral determinants of airborne transmission of SARS-CoV-2 in the Syrian hamster.

It remains poorly understood how SARS-CoV-2 infection influences the physiological host factors important for aerosol transmission. We assessed breathing pattern, exhaled droplets, and infectious virus after infection with Alpha and Delta variants of concern (VOC) in the Syrian hamster. Both VOCs displayed a confined window of detectable airborne virus (24-48 hr), shorter than compared to oropharyngeal swabs. The loss of airborne shedding was linked to airway constriction resulting in a decrease of fine aerosols (1-10 µm) produced, which are suspected to be the major driver of airborne transmission. Male sex was associated with increased viral replication and virus shedding in the air. Next, we compared the transmission efficiency of both variants and found no significant differences. Transmission efficiency varied mostly among donors, 0-100% (including a superspreading event), and aerosol transmission over multiple chain links was representative of natural heterogeneity of exposure dose and downstream viral kinetics. Co-infection with VOCs only occurred when both viruses were shed by the same donor during an increased exposure timeframe (24-48 hr). This highlights that assessment of host and virus factors resulting in a differential exhaled particle profile is critical for understanding airborne transmission.

COVID-19 in the Netherlands: lessons from a nationwide query of dutch autopsy, histology, and cytology pathological reports.

Since the onset of the COVID-19 pandemic, autopsies have played a valuable role in understanding the pathophysiology of COVID-19. In this study, we have analyzed COVID-19-related pathology reports from autopsies, histology, and cytology on a nationwide level. Pathology reports from all 43 pathology laboratories in the Netherlands stating "COVID," "Corona," and/or "SARS" were queried from the Dutch Nationwide Pathology Database (Palga). Consecutive reports of the included patients were also retrieved. Out of 5065 entries, a total of 1833 eligible COVID-19-related pathology reports between January 2020 and June 2021 were included in this collection of reports. Lung histopathology reports reflected differences in the severity of abnormalities (acute diffuse alveolar damage, alveolar histiocytes, and thrombi during the first three pandemic waves (Wuhan variant) versus the fourth wave (alpha variant)). Autopsy reports from 2020 state significantly shorter disease duration and younger age of death compared to autopsy reports from 2021. All reports together reflected a more granular pathology with comorbidities such as chronic histiocytic intervillositis, perniosis, and thrombi found in a variety of organs (lungs, kidneys, and small and large intestines). This nationwide overview of pathology reports provides data related to deaths as well as comorbidities in a clinical setting of COVID-19. Certain findings reported in SARS-CoV-infected lungs and placentas were also reported in post-COVID-19 tissue of the same kind. Consecutive reports after the earliest reports with COVID-19 allowed for follow-up reports. These follow-up reports can help with post-viral studies regarding long-term effects of COVID-19 as well as identifying the effects of different SARS-CoV-2 variants.

Clinical Features and Treatment of Patients Infected With SARS-CoV-2 Omicron Variant While Hospitalized Due to Stroke: A Single Center Study in Japan.

In December 2019, COVID-19 spread rapidly across the globe. Throughout the pandemic, SARS-CoV-2 repeatedly mutated, transitioning from the alpha variant to the omicron variant. The severity and mortality of COVID-19 have been linked to age, sex, and the presence of underlying diseases (respiratory, cerebrovascular, cardiovascular, metabolic, and immune diseases, as well as cancer). The clinical features of patients infected with COVID-19 following a stroke, however, are fully unknown. Therefore, it is significant to explore the appropriate treatment for these patients based on their clinical features. Of the 6175 patients who visited Asahi Hospital (Tokyo, Japan) between November 2022 and February 2023, 206 were admitted. Of these 206 patients, the 44 that contracted COVID-19 while hospitalized for strokes were retrospectively analyzed. Six (13.6%) of these patients died; four expired due to coagulopathy associated with ischemic heart failure and recurrent ischemic cerebrovascular disease. The mean D-dimer level increased to 3.53 in the deceased patients, while it was 1.64 in all patients. The platelet count was low in three of the deceased patients, while it was high in two patients. The severity of COVID-19 was significantly correlated with a high modified Rankin Scale (mRS) score and a high National Institute of Health Stroke Scale (NIHSS) score. The timing of vaccination is inversely correlated with COVID-19 severity. Patients with COVID-19 after a stroke have high mortality rates due to coagulopathy. Stroke patients with high mRS scores and high NIHSS scores are more likely to develop severe COVID-19. Anticoagulant therapy should be administered to COVID-19 patients with high mRS scores following a stroke.