Severe COVID-19 Research Articles

Predictors of preventative behavior in the restaurant industry: learning from the COVID-19 pandemic

ABSTRACT This study used a structural model to analyze the health beliefs and prevention expectations of consumers in order to better understand their health risk behavior and their experience with restaurant precautionary measures. The findings indicated the perceived severity of COVID-19 during the pandemic led to a significant increase in the consumers’ preventative behaviors. Likewise, the customers’ perceived severity of the COVID-19 threat enhanced their concerns about the safety of restaurant service. Based on the moderating effect, we found that lower trust in restaurant precautionary measures weakened the otherwise positive relationship between the consumers’ perceived severity of the COVID-19 threat and their preventative behavior. Recommendations can help the restaurant prepare for future public health concerns.

Variations in COVID-19 vaccine hesitancy over time: a serial cross-sectional study in five West African countries

ObjectivesThis study aims to identify the factors influencing vaccine hesitancy, willingness and its variation over time in order to inform more responsive strategies for increasing vaccination uptake. The specific objectives...

Enhanced predictability and interpretability of COVID-19 severity based on SARS-CoV-2 genomic diversity: a comprehensive study encompassing four years of data.

Despite the end of the global Coronavirus Disease 2019 (COVID-19) pandemic, the risk factors for COVID-19 severity continue to be a pivotal area of research. Specifically, studying the impact of the genomic diversity of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) on COVID-19 severity is crucial for predicting severe outcomes. Therefore, this study aimed to investigate the impact of the SARS-CoV-2 genome sequence, genotype, patient age, gender, and vaccination status on the severity of COVID-19, and to develop accurate and robust prediction models. The training set (n = 12,038), primary testing set (n = 4,006), and secondary testing set (n = 2,845) consist of SARS-CoV-2 genome sequences with patient information, which were obtained from Global Initiative on Sharing all Individual Data (GISAID) spanning over four years. Four machine learning methods were employed to construct prediction models. By extracting SARS-CoV-2 genomic features, optimizing model parameters, and integrating models, this study improved the prediction accuracy. Furthermore, Shapley Additive exPlanes (SHAP) was applied to analyze the interpretability of the model and to identify risk factors, providing insights for the management of severe cases. The proposed ensemble model achieved an F-score of 88.842% and an Area Under the Curve (AUC) of 0.956 on the global testing dataset. In addition to factors such as patient age, gender, and vaccination status, over 40 amino acid site mutation characteristics were identified to have a significant impact on the severity of COVID-19. This work has the potential to facilitate the early identification of COVID-19 patients with high risks of severe illness, thus effectively reducing the rates of severe cases and mortality.

The causal association between COVID-19 and ischemic stroke: a mendelian randomization study

BackgroundCurrent observational data indicates that ischemic stroke (IS) affects a significant proportion of people with COVID-19. The current study sought to evaluate the causal relationship between COVID-19 and IS.MethodsA two-sample Mendelian randomization (2 S-MR) approach was used to probe the relationship between genetic determinants of three COVID-19 parameters (SARS-CoV‐2 infection, COVID-19 hospitalization, and severe COVID-19) and the incidence of IS based on genome-wide association studies (GWAS) data. Using this 2 S-MR technique, expression quantitative trait loci (eQTL) and GWAS studies were further assessed for overlap to identify common causative genes associated with severe COVID-19 and IS.ResultsIVW approaches indicated the genetic variants linked to COVID-19 hospitalization (OR 1.04, 95% CI 1.01–1.08, p = 0.023) and severe COVID-19 (OR 1.03, 95% CI 1.01–1.05, p = 0.007) were both significantly linked to greater odds of IS. In contrast, there was no causal association between genetic SARS-CoV-2 infection susceptibility and the occurrence of IS (OR 0.99, 95% CI 0.92–1.06, p = 0.694). Ten shared causal genes (TNFSF8, CFL2, TPM1, C15orf39, LHFPL6, FAM20C, SPAG9, KCNJ2, PELI1, and HLA-L) were established as possible mediators of the interplay between severe COVID-19 and the development of IS, with these genes primarily being enriched in immune-related and renin-angiotensin-aldosterone system pathways.ConclusionThese findings indicate a possible causative relationship between IS risk and COVID-19 severity, offering crucial new information for managing COVID-19 patients. Promising options for therapeutic therapies for severe COVID-19 complicated by IS include the common genes found in the present study.

Prolactin Role in COVID-19 and Its Association with the Underlying Inflammatory Response

The COVID-19 pandemic has prompted interest in identifying reliable biomarkers to predict disease severity and guide clinical decisions. Prolactin (PRL), a hormone traditionally associated with lactation, has gained attention for its role in immune modulation. This study aimed to assess PRL as a biomarker for disease severity in COVID-19. A prospective cohort of 142 patients with moderate to severe COVID-19, defined as a WHO-CPS 5 or 6, was recruited from the University General Hospital of Patras. Baseline PRL levels were measured using an electrochemiluminescence immunoassay, and serum cytokines, including IL-1β, IL-6, IL-8, IL-10, IL-12p70, and TNF-α, were quantified through flow cytometry. Clinical outcomes, including mortality and the need for invasive mechanical ventilation (IMV), were recorded. Results indicated that PRL levels were significantly higher in female patients (12.95 ng/mL vs. 9.40 ng/mL, p < 0.001) but they did not correlate with key severity indices such as CCI, SOFA score upon admission or inflammatory markers. No significant associations between baseline PRL levels, cytokine concentrations, and clinical outcomes in COVID-19 were noted. Our findings suggest that PRL may lack prognostic reliability for disease severity compared to more established predictive markers and that its role in the immune response remains uncertain.

Calcitriol prevents SARS-CoV spike-induced inflammation in human trophoblasts through downregulating ACE2 and TMPRSS2 expression

SARS-CoV-2, the causative virus of COVID-19, increases the risk of pregnancy complications including hypertensive disorders and placental inflammation. The spike glycoprotein mediates viral cell entry by interacting with the angiotensin-converting enzyme (ACE)2 in conjunction with the transmembrane serine protease 2 (TMPRSS2). ACE1, ACE2 and renin are components of the renin-angiotensin system (RAS), which regulates blood pressure. As the placenta expresses all these proteins, it is a target for SARS-CoV-2 and a source of blood pressure modulators. Noteworthy, an ACE1/ACE2 ratio imbalance can lead to RAS dysregulation and a bad prognosis in COVID-19 patients. Calcitriol, the most active vitamin D metabolite, negatively regulates RAS, reduces inflammation, and enhances antiviral immunity, thereby protecting against COVID-19 severity. However, contrasting information exists on the regulatory role of calcitriol upon RAS components and SARS-CoV-2 receptors; while the impact of calcitriol on spike-induced inflammation in placental cells has not been explored. Thus, we studied the effects of calcitriol on these parameters using the trophoblast cell line HTR-8/SVneo and primary syncytiotrophoblasts. By RT-qPCR, ELISA, and immunocytochemistry, we found that the spike enhanced proinflammatory cytokines expression and secretion, while calcitriol significantly downregulated this effect. Calcitriol also diminished ACE1, ACE2, TMPRSS2, and renin gene expression, as well as ACE1/ACE2 mRNA ratio. ConclusionsIn the human placenta, calcitriol reduced the gene expression of main RAS components and TMPRSS2, resulting in the inhibition of spike-induced inflammation. This outcome suggest that vitamin D participates in restricting SARS-CoV-2 placental infection by rendering trophoblasts less permissive to infection while helping to regulate maternal blood pressure and decreasing inflammation.

Dynamic Changes in Lymphocyte Populations and Their Relationship with Disease Severity and Outcome in COVID-19

Studies suggest that the dynamic changes in cellular response might correlate with disease severity and outcomes in SARS-CoV-2 patients. The study aimed to investigate the dynamic changes of lymphocyte subsets in patients with COVID-19. In this regard, 53 patients with COVID-19 were prospectively included, classified as mild, moderate, and severe. The peripheral lymphocyte profiles (LyT, LyB, and NK cells), as well as CD4+/CD8+, CD3+/CD19+, CD3+/NK and CD19+/NK ratios, and their dynamic changes during hospitalization and correlation with disease severity and outcome were assessed. We found significant differences in CD3+ lymphocytes between severity groups (p < 0.0001), with significantly decreased CD3+CD4+ and CD3+CD8+ in patients with severe disease (p < 0.0001 and p = 0.048, respectively). Lower CD3+/CD19+ and CD3+/NK ratios among patients with severe disease (p = 0.019 and p = 0.010, respectively) were found. The dynamic changes of lymphocyte subsets showed a significant reduction in NK cells (%) and a significant increase in CD3+CD4+ and CD3+CD8+ cells in patients with moderate and severe disease. The ROC analysis on the relationship between CD3+ cells and fatal outcome yielded an AUC of 0.723 (95% CI 0.583–0.837; p = 0.007), while after addition of age and SpO2, ferritin and NLR, the AUC significantly improved to 0.927 (95%CI 0.811–0.983), p < 0.001 with a sensitivity of 90.9% (95% CI 58.7–99.8%) and specificity of 85.7% (95% CI 69.7–95.2%). The absolute number of CD3+ lymphocytes might independently predict fatal outcomes in COVID-19 patients and T-lymphocyte subset evaluation in high-risk patients might be useful in estimating disease progression.

Long-Term Risk of Autoimmune and Autoinflammatory Connective Tissue Disorders Following COVID-19

Few studies have investigated the association between COVID-19 and autoimmune and autoinflammatory connective tissue disorders; however, research with long-term observation remains insufficient. To investigate the long-term risk of autoimmune and autoinflammatory diseases after COVID-19 over an extended observation period. This retrospective nationwide population-based study investigated the Korea Disease Control and Prevention Agency-COVID-19-National Health Insurance Service (K-COV-N) cohort. Individuals with confirmed COVID-19 from October 8, 2020, to December 31, 2022, and controls identified among individuals who participated in the general health examination in 2018 were included in the analysis. Confirmed COVID-19. Incidence and risk of autoimmune and autoinflammatory connective tissue disorders in patients after COVID-19. Various covariates, such as demographic characteristics, general health data, socioeconomic status, and comorbidity profiles, were balanced using inverse probability weighting. A total of 6 912 427 participants (53.6% male; mean [SD] age, 53.39 [20.13] years) consisting of 3 145 388 with COVID-19 and 3 767 039 controls with an observational period of more than 180 days were included. Alopecia areata (adjusted hazard ratio [AHR], 1.11 [95% CI, 1.07-1.15]), alopecia totalis (AHR, 1.24 [95% CI, 1.09-1.42]), vitiligo (AHR, 1.11 [95% CI, 1.04-1.19]), Behçet disease (AHR, 1.45 [95% CI, 1.20-1.74]), Crohn disease (AHR, 1.35 [95% CI, 1.14-1.60]), ulcerative colitis (AHR, 1.15 [95% CI, 1.04-1.28]), rheumatoid arthritis (AHR, 1.09 [95% CI, 1.06-1.12]), systemic lupus erythematosus (AHR, 1.14 [95% CI, 1.01-1.28]), Sjögren syndrome (AHR, 1.13 [95% CI, 1.03-1.25]), ankylosing spondylitis (AHR, 1.11 [95% CI, 1.02-1.20]), and bullous pemphigoid (AHR, 1.62 [95% CI, 1.07-2.45]) were associated with higher risk in the COVID-19 group. Subgroup analyses revealed that demographic factors, including male and female sex, age younger than 40 years, and age 40 years and older, exhibited diverse associations with the risk of autoimmune and autoinflammatory outcomes. In addition, severe COVID-19 infection requiring intensive care unit admission, the Delta period, and not being vaccinated were associated with higher risk. This retrospective cohort study with an extended follow-up period found associations between COVID-19 and the long-term risk of various autoimmune and autoinflammatory connective tissue disorders. Long-term monitoring and care of patients is crucial after COVID-19, considering demographic factors, disease severity, and vaccination status, to mitigate these risks.

Transient anti-interferon autoantibodies in the airways are associated with recovery from COVID-19.

Preexisting anti-interferon-α (anti-IFN-α) autoantibodies in blood are associated with susceptibility to life-threatening COVID-19. However, it is unclear whether anti-IFN-α autoantibodies in the airways, the initial site of infection, can also determine disease outcomes. In this study, we developed a multiparameter technology, FlowBEAT, to quantify and profile the isotypes of anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and anti-IFN-α antibodies in longitudinal samples collected over 20 months from the airways and blood of 129 donors spanning mild to severe COVID-19. We found that nasal IgA1 anti-IFN-α autoantibodies were induced after infection onset in more than 70% of mild and moderate COVID-19 cases and were associated with robust anti-SARS-CoV-2 immunity, fewer symptoms, and efficient recovery. Nasal anti-IFN-α autoantibodies followed the peak of host IFN-α production and waned with disease recovery, revealing a regulated balance between IFN-α and anti-IFN-α response. In contrast, systemic IgG1 anti-IFN-α autoantibodies appeared later and were detected only in a subset of patients with elevated systemic inflammation and worsening symptoms. These data reveal a protective role for nasal anti-IFN-α in the immunopathology of COVID-19 and suggest that anti-IFN-α autoantibodies may serve a homeostatic function to regulate host IFN-α after viral infection in the respiratory mucosa.

Proteomics of circulating extracellular vesicles reveals diverse clinical presentations of COVID-19 but fails to identify viral peptides

Extracellular vesicles (EVs) released by virus-infected cells have the potential to encapsulate viral peptides, a characteristic that could facilitate vaccine development. Furthermore, plasma-derived EVs may elucidate pathological changes occurring in distal tissues during viral infections. We hypothesized that molecular characterization of EVs isolated from COVID-19 patients would reveal peptides suitable for vaccine development. Blood samples were collected from three cohorts: severe COVID-19 patients (G1), mild/asymptomatic cases (G2), and SARS-CoV-2-negative healthcare workers (G3). Samples were obtained at two time points: during the initial phase of the pandemic in early 2020 (m0) and eight months later (m8). Clinical data analysis revealed elevated inflammatory markers in G1. Notably, non-vaccinated individuals in G1 exhibited increased levels of neutralizing antibodies at m8, suggesting prolonged exposure to viral antigens. Proteomic profiling of EVs was performed using three distinct methods: immunocapture (targeting CD9), ganglioside-capture (utilizing Siglec-1) and size-exclusion chromatography (SEC). Contrary to our hypothesis, this analysis failed to identify viral peptides. These findings were subsequently validated through Western blot analysis targeting the RBD of the SARS-CoV-2 Spike protein’s and comparative studies using samples from experimentally infected Syrian hamsters. Furthermore, analysis of the EV cargo revealed a diverse molecular profile, including components involved in the regulation of viral replication, systemic inflammation, antigen presentation, and stress responses. These findings underscore the potential significance of EVs in the pathogenesis and progression of COVID-19.

Data normalization of plasma miRNA profiling from patients with COVID-19

When using the reverse-transcription quantitative polymerase chain reaction (RT-qPCR) technique for quantitative assessment of microRNA (miRNA) expression, normalizing data using a stable endogenous gene is essential; however, no universally adequate reference gene exists. Therefore, in this study, we aimed to determine, via the RNA-Seq technique, the most adequate endogenous normalizer for the expression assessment of plasma miRNAs in patients with coronavirus disease 2019 (COVID-19). Two massive sequencing procedures were performed (a) to identify differentially expressed miRNAs between patients with COVID-19 and healthy volunteers (n = 12), and (b) to identify differentially expressed miRNAs between patients with severe COVID-19 and those with mild COVID-19 (n = 8). The endogenous normalizer candidates were selected according to the following criteria: (1) the miRNA must have a fold regulation = 1; (2) the miRNA must have a p-value > 0.990; and (3) the miRNAs that were discovered the longest ago should be selected. Four miRNAs (hsa-miR-34a-3p, hsa-miR-194-3p, hsa-miR-17-3p, and hsa-miR-205-3p) met all criteria and were selected for validation by RT-qPCR in a cohort of 125 patients. Of these, only hsa-miR-205-3p was eligible endogenous normalizers in the context of COVID-19 because their expression was stable between the compared groups.

COVID-19 infection in children with blood cancer: A systematic review.

Blood cancer is the most common type of cancer and the leading cause of death by disease past infancy among children. Children with blood cancer are vulnerable population to viral infections such as coronavirus disease 2019 (COVID-19). To estimate the incidence of COVID-19 in children with blood cancer and analyse the demographic parameters, clinical characteristics and treatment outcomes in children with blood cancer with COVID-19 illness. We adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline and searched ProQuest, Medline, Embase, PubMed, CINAHL, Wiley online library, Scopus and Nature for studies on the development of COVID-19 in children with blood cancer, published from December 1, 2019 to April 30, 2023, with English language restriction. Of the 3077 papers that were identified, 155 articles were included in the systematic review (83 case report, 54 cohort and 18 case-series studies). Studies involving 1289 children with blood cancer with confirmed COVID-19 were analysed. Leukaemias (1141 cases) were the most frequent types of blood cancer observed in children who developed COVID-19, followed by non-Hodgkin's lymphomas (59 cases), Hodgkin's lymphomas (36 cases), Langerhans cell histiocytosis (7 cases), myelodysplastic syndrome (7 cases) and myeloid neoplasm (1 case). Among all 1289 blood cancer paediatric cases who transmitted severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), some children were documented to be admitted to the intensive care unit (ICU) (n = 175, 13.6%), intubated and placed on mechanical ventilation (MV) (n = 111, 8.6%), suffered acute respiratory distress syndrome (ARDS) (n = 144, 11.2%) or died (n = 111, 8.6%). Overall, COVID-19 in children with different types of blood cancer resulted in no or low severity of disease in 78.6% of all included cases (COVID-19 severity: asymptomatic = 238, mild = 601, or moderate = 171). Treatment for COVID-19 was not necessary in a small number of children with blood cancer (n = 94, 7.3%). Fatality in children with blood cancer with COVID-19 was reported in any of the included blood cancer categories for leukaemias (n = 99/1141, 8.7%), non-Hodgkin's lymphomas (n = 7/59, 11.9%), Hodgkin's lymphomas (n = 2/36, 5.5%), myelodysplastic syndrome (n = 1/7, 14.3%) or myeloid neoplasm (n = 1/1, 100%). Fatality rate in children with blood cancer infected with SARS-CoV-2 was the highest in patients with Hispanic ethnicity (n = 44/111, 39.6%) and COVID-19-related fatality was highest in male patients (76.5% of deceased patients). Most studies reported to alter the intensity and regimen of anticancer treatment in children with blood cancer during course of SARS-CoV-2 infection, however, many studies have reported to successfully treat COVID-19 without any changes to the anticancer treatment. Globally, leukaemias were the most prevalent and myeloid neoplasms were the least prevalent blood cancer types in children who developed SARS-CoV-2 infection. Children with blood cancer infected with SARS-CoV-2 may experience higher rates of ICU admission and mortality in comparison with the healthy pediatric populations. Mortality in children with blood cancer and infected with SARS-CoV-2 was highest in cases belonging to male gender and Hispanic ethnicity. However, children with blood cancer tend to have milder COVID-19 symptoms and are less likely to be hospitalized and have better prognosis when compared to adults. Continuation of anticancer treatment in individual paediatric blood cancer patients with COVID-19 seems to be possible.

Could Anemia Impact the Severity of Infections? COVID-19 as an Example

Background The association between anemia and severity of infection as well as mortality rates among patients infected with COVID-19 has scarcely been studied. This is the first study from the UAE aimed to assess the influence of anemia on COVID-19 severity, ICU admission, and mortality rate. Methods A retrospective chart review of hospitalized COVID-19 patients was conducted in a large COVID-19 referral hospital in UAE. The study included adult patients with confirmed COVID-19. Clinical and laboratory data, severity of the disease, ICU admissions, and mortality rates were analyzed and correlated to the presence of anemia among the patients. Results A total of 3092 patients were included. 362 patients (11.7%) were anemic and most of the cases were between asymptomatic and mild COVID-19 (77.4%, n=2393). Among patients with anemia, 30.1% (n=109) had moderate to severe COVID-19. Statistically, anemia was associated significantly with a higher risk for severe COVID-19 outcome compared to nonanemic patients (AOR:1.59, 95% CI:1.24-2.04, p<0.001). Intensive care unit (ICU) admission was almost 3 times higher among anemic patients compared to nonanemic (AOR:2.83,95% CI:1.89-4.25, p<0.001). In addition, the overall mortality rate of 2.8% (n=87) was 2.5-fold higher in anemic than nonanemic patients (OR:2.56, CI: 1.49-4.06, p<0.001). Moreover, older age (≥48-year-old) and male gender were independent predictors for severe illness (Age: OR=1.26, CI:1.07-1.51, p=0.006; Gender: OR:1.43,CI:1.15-1.78, p<0.001)) and ICU admission (Age: OR:2.08, CI:1.47-2.94, p<0.001; Gender: OR: 1.83, CI:1.12-3.00, p=0.008) whereas only age ≥48 years old contributed to higher mortality rate (OR:1.60, CI:1.04-2.46, p=0.034). Conclusion Anemia was a major risk factor for severe COVID-19, ICU admission and mortality among hospitalized COVID-19 patients. Thus, healthcare providers should be aware of monitoring the hematological parameters among hospitalized patients with COVID-19 and anemia to reduce the risk of disease complications and mortality. This association should also be considered in other infectious diseases.

The first report of rhinosinusitis by Rhizopus delemar in a patient with severe COVID-19 in Iran: a case report

BackgroundMucormycosis is a severe and fatal fungal infection in patients with coronavirus disease 2019 caused by Mucorales. Here we present a case of a 63-year-old man with coronavirus disease 2019 infection, along with rhinosinusitis mucormycosis caused by Rhizopus delemar.Case presentationA 63-year-old Iranian man suffering from a coronavirus disease 2019 infection with symptoms of cough, shortness of breath, and generalized body pain. On the basis of the clinical manifestations, such as headache, a history of black nasal discharge, nasal hypoesthesia, facial swelling, numbness, nasal obstruction, presence of necrotic lesions on the nasal passages on physical examination, and abnormal computed tomography scans of paranasal sinuses, the patient underwent surgical debridement. Direct microscopy of specimens obtained from the paranasal sinuses, and subsequent isolation and identification, revealed a rhinosinusitis mucormycosis caused by R. delemar. Despite therapeutic measures, such as sinus debridement surgery and antifungal therapy with amphotericin B injection (50 mg/day), the patient died after 35 days of hospitalization.ConclusionIn this report, we present the first documented case of human infection with R. delemar in a patient with coronavirus disease 2019 infection, who also exhibited rhinosinusitis mucormycosis. R. delemar appears to be an emerging agent of rhinosinusitis mucormycosis in this region. Furthermore, prompt diagnosis and the exploration of alternative antifungal treatments, beyond amphotericin B, may be crucial for effectively managing patients with R. delemar infections.

Prospective clinical surveillance for severe acute respiratory illness and COVID-19 vaccine effectiveness in Kenyan hospitals during the COVID-19 pandemic.

There are limited data from sub-Saharan Africa describing the demographic characteristics, clinical features and outcome of patients admitted to public hospitals with severe acute respiratory infections during the COVID-19 pandemic. We conducted a prospective longitudinal hospital-based sentinel surveillance between May 2020 and December 2022 at 16 public hospitals in Kenya. All patients aged above 18 years admitted to adult medical wards in the participating hospitals were included. We collected data on demographic and clinical characteristics, SARS-CoV-2 infection and COVID-19 vaccination status and, admission episode outcomes. We determined COVID-19 vaccine effectiveness (VE) against admission with SARS-CoV-2 positive severe acute respiratory illness (SARI) (i.e., COVID-19) andprogression to inpatient mortality among patients admitted with SARI, using a test-negative case control design. Of the 52,636 patients included in the study, 17,950 (34.1%) were admitted with SARI. The median age was 50 years. Patients were equally distributed across sexes. Pneumonia was the most common diagnosis at discharge. Hypertension, Human Immunodeficiency Virus (HIV) infection and Diabetes Mellitus were the most common chronic comorbidities. SARS-CoV-2 test results were positive in 2,364 (27.9%) of the 8,471 patients that underwent testing. After adjusting for age, sex and presence of a chronic comorbidity, SARI patients were more likely to progress to inpatient mortality compared to non-SARI patients regardless of their SARS-CoV-2 infection status (adjusted odds ratio (aOR) for SARI and SARS-CoV-2 negative patients 1.22, 95% CI 1.10-1.37; and aOR for SARI and SARS-CoV-2 positive patients 1.32, 95% CI 1.24-1.40). After adjusting for age, sex and presence of a chronic comorbidity, COVID-19 VE against progression to inpatient mortality following admission with SARI for those with a confirmed vaccination status was 0.59 (95% CI 0.27-0.77). We have provided a comprehensive description of the demographic and clinical pattern of admissions with SARI in Kenyan hospitals during the COVID-19 pandemic period as well as the COVID-19 VE for these patients. These data were useful in providing situational awareness during the first three years of the pandemic in Kenya and informing national response measures.

The Effect of Vitamin D Supplementation Post COVID-19 Infection and Related Outcomes: A Systematic Review and Meta-Analysis

Background: Vitamin D’s role in COVID-19 management remains controversial. This meta-analysis aimed to evaluate the efficacy of vitamin D supplementation in patients with SARS-CoV-2 infection, focusing on mortality, intensive care unit (ICU) admissions, intubation rates, and hospital length of stay (LOS). Methods: A systematic review of PubMed/MEDLINE, Scopus, Cochrane, and Google Scholar databases was conducted. Randomized controlled trials (RCTs) and analytical studies investigating vitamin D supplementation in COVID-19 patients were included. The meta-analysis was performed using STATA MP 18.5, employing random-effect or fixed-effect models based on heterogeneity. Results: Twenty-nine studies (twenty-one RCTs, eight analytical) were analyzed. Vitamin D supplementation significantly reduced ICU admissions (OR = 0.55, 95% CI: 0.37 to 0.79) in RCTs and analytical studies (OR = 0.35, 95% CI: 0.18 to 0.66). Intubation rates were significantly reduced in RCTs (OR = 0.50, 95% CI: 0.27 to 0.92). Mortality reduction was significant in analytical studies (OR = 0.45, 95% CI: 0.24 to 0.86) but not in RCTs (OR = 0.80, 95% CI: 0.61 to 1.04). Subgroup analyses revealed more pronounced effects in older patients and severe COVID-19 cases. LOS showed a non-significant reduction (mean difference = −0.62 days, 95% CI: −1.41 to 0.18). Conclusions: This meta-analysis suggests potential benefits of vitamin D supplementation in COVID-19 patients, particularly in reducing ICU admissions. However, the evidence varies across outcomes and patient subgroups. Discrepancies between RCTs and analytical studies highlight the need for further large-scale, well-designed trials accounting for baseline vitamin D status, standardized supplementation protocols, and patient characteristics to inform clinical guidelines for vitamin D use in COVID-19 management.

IL-6 (rs1800797) Variant as an Immunomarker for Children's Adenovirus Respiratory Infection: A Prospective Insight

Background: One important cytokine that modulates the immune response during infections is IL-6. Gaining knowledge about the correlation between IL-6 genetic variants and susceptibility to disease can be quite beneficial in understanding the pathophysiology of various illnesses. Objective: Present study aims to explore the relationship between the polymorphisms IL-6-174 G/C and IL-6-597 A/G and their potential role in disease susceptibility and progression. Methods: A 210 adenovirus respiratory patients at Baghdad Hospital. Patients with comorbidities or previous respiratory infections were excluded. Nasopharyngeal swabs were collected and tested for adenovirus using PCR. From the specimen, genomic DNA was isolated. Genotyping PCR-RFLP was used to genotype the Interleukin-6 (-597 A/G, rs 1800797) polymorphism. Results: Interlukin-6-174 G/C polymorphism and illness sensibility are strongly correlated, according to the study's findings. More precisely, it was found that both a worse development and a race probability of contracting a severe COVID-19 infection were analogous with the IL-6-174 G/C polymorphism. In addition, it was linked to the periodontitis probability. Discussion: Current studied results point to the potential importance of the IL-6-174 G/C polymorphism in disease vulnerability, especially in cases of acute COVID-19 infection and periodontitis. However, as there is no proof of a strong association between the IL-6-597 A/G polymorphism and type 2 diabetes or malignant tumors, its significance in detected disease susceptibility remains unclear. Conclusion: Our study highlights the potential role of IL-6 genetic variations, including IL-6-174 G/C, in the development and vulnerability of illness. To understand how these genetic polymorphisms affect the course of disease and their molecular relationship, more research is required.

Comprehensive In silico and In vitro evaluation of Plectranthus amboinicus essential oil: A promising inhibitor of SARS-CoV-2 B.1.1.529 Omicron variant, proinflammatory biomarkers and diabetes-related enzymes

Existing challenges, such as the viral SARS-CoV-2 B.1.1.529 Omicron variants, adverse reactions, and limited availability of drugs for COVID-19 continue to challenge global health. Severe inflammatory response associated with COVID-19 has been shown to worsen diabetic conditions and finding a range of treatment options for COVID-19 is significant. The research investigated the potential of Plectranthus amboinicus (Lour.) Spreng. (Lamiaceae) essential oil (PEO), known for its bioactive terpene content, as a multifaceted therapeutic agent. In silico and in vitro approaches were conducted to evaluate its inhibitory effects on the replication of Omicron variant, its ability to modulate proinflammatory biomarkers, and its impact on diabetes-related enzymes. PEO was extracted by hydrodistillation method. GC-MS analysis revealed 62 compounds. In silico molecular docking showed that the top ten PEO major components exhibited strong binding affinities with Omicron 3CL protease (-4.0 to −6.1 kcal/mol) and spike-RBD protein (-6.1 to −9.2 kcal/mol). PEO (6.25–200 μg mL⁻¹) significantly inhibited the B.1.1.529 Omicron SARS-CoV-2 3CL protease and Spike-RBD. PEO showed a cytotoxic effect at >80 μg mL⁻¹ in LPS-induced macrophage and inhibited production of TNF-α from 6.25 to 50 μg mL⁻¹, indicating its potential to mitigate the cytokine storm in link with severe COVID-19 cases. In vitro, PEO at 6.25–200 μg mL⁻¹ significantly inhibited α-amylase and α-glucosidase enzymes, suggesting that PEO components could modulate key enzymes involved in glucose metabolisms. These findings showed the potential of PEO as an antiviral, anti-inflammatory, and antidiabetic agent and offer an opportunity to further clinical investigations in testing the efficacy as an alternative approach to managing COVID-19 and its complications.

Impact of Nutritional Therapy During Intensive Care Unit Admission on Post Intensive Care Syndrome in Patients COVID-19.

Nutritional therapy is an important component of intensive care. We investigated the associations of nutritional therapy in the acute phase of severe COVID-19 with the long-term outcomes of post-intensive care syndrome (PICS) and post-COVID-19 conditions. A questionnaire on the health status after COVID-19 was sent to patients 1 year after infection and PICS was evaluated. Total energy and protein intakes during the first week after admission to the intensive care unit (ICU) were calculated. The primary endpoint was a decrease in quality of life (QOL) defined by EuroQol5-dimensions 5-level (EQ5D5L) <0.8. A multivariable regression analysis was used to examine. A total of 220 ICU patients were included in this study. Median total energy and protein intakes were 65.1 kcal/kg/week and 3.3 g/kg/week, respectively. Total energy and protein intakes were associated with EQ5D5L scores (Energy: unit odds ratio 0.98 [0.97-0.99], p-value<0.01; protein: unit odds ratio 0.72 [0.59-0.87], p-value<0.01). Insufficient total energy and protein intakes were associated with malaise, arthralgia, myalgia, palpitations, sleep disturbance, and muscle weakness. Poor nutrition during the first week after ICU admission was associated with a decreased QOL one year after. These nutrition shortages were also associated with an increased risk of developing PICS, post-COVID-19 conditions, which may contribute to decreased QOL.

Cdc42 improve SARS-CoV-2 spike protein-induced cellular senescence through activating of Wnt/β-Catenin signaling pathway

IntroductionSARS-CoV-2 infection drove senescent cells and the senescence-associated phenotypes were reported playing roles in disease progression, which contributes to severe COVID-19 and related sequelae. Cdc42 is involved in the regulation of cellular senescence. This study, aimed to investigate the mechanism of the SARS-CoV-2 spike protein regulating cellular senescence through Cdc42.MethodsK18-hACE2 mice were infected with SARS-CoV-2 Omicron BA.4 or stimulated with spike protein through the airway, the senescent cells and Cdc42 expression in lung tissue were detected. Overexpression of spike protein or exogenous incubation of spike protein was used to simulate the induction of cellular senescence by spike protein. Mechanistic insights into the role of Cdc42 were mainly explored using Western Blot and qRT-PCR.ResultsSpike protein, SARS-CoV-2 infection related, accelerates cell aging by upregulating Cdc42 expression, which furtherly activated the Wnt/β-catenin signaling pathway. Conversely, treatment with ML141 in animal models, a Cdc42 inhibitor, reduced cellular senescence and ameliorated lung injury and inflammation. These results suggest that the upregulation of Cdc42 by the SARS-CoV-2 spike protein induces cellular senescence and enhances β-catenin nuclear translocation.DiscussionThis study provides insights into the mechanisms underlying cellular senescence induced by the SARS-CoV-2 spike protein, offering potential strategies to mitigate the inflammatory response and complications associated with COVID-19 in both the acute and long-term phases.