Insight into 2019 novel coronavirus - An updated interim review and lessons from SARS-CoV and MERS-CoV

Targeting ATP2B1 impairs PI3K/Akt/FOXO signaling and reduces SARS-COV-2 infection and replication

ATP2B1 is a known regulator of calcium (Ca2+) cellular export and homeostasis. Diminished levels of intracellular Ca2+ content have been suggested to impair SARS-CoV-2 replication. Here, we demonstrate that a nontoxic caloxin-derivative compound (PI-7) reduces intracellular Ca2+ levels and impairs SARS-CoV-2 infection. Furthermore, a rare homozygous intronic variant of ATP2B1 is shown to be associated with the severity of COVID-19. The mechanism of action during SARS-CoV-2 infection involves the PI3K/Akt signaling pathway activation, inactivation of FOXO3 transcription factor function, and subsequent transcriptional inhibition of the membrane and reticulum Ca2+ pumps ATP2B1 and ATP2A1, respectively. The pharmacological action of compound PI-7 on sustaining both ATP2B1 and ATP2A1 expression reduces the intracellular cytoplasmic Ca2+ pool and thus negatively influences SARS-CoV-2 replication and propagation. As compound PI-7 lacks toxicity in vitro, its prophylactic use as a therapeutic agent against COVID-19 is envisioned here.

Complexity and Diversity of the Neurological Spectrum of SARS-CoV-2 over Three Waves of COVID-19

Background/Objectives: SARS-CoV-2 continually mutates, with five identified variants. Many neurological manifestations were observed during the COVID-19 pandemic, with differences between virus variants. The aim of this study is to assess the frequency and characteristics of neurological manifestations during COVID-19 in hospitalized patients over three waves in Poland with comparison and analysis correlation with the course of infection. Methods: This retrospective single-center study included 600 consecutive adults with confirmed COVID-19, hospitalized during 3 waves (pre-Delta, Delta and Omicron) in Poland. Demographic and clinical information and neurological manifestations were collected and compared across three periods. Results: The median age of the study group was 68, lower during the Delta wave. In the Omicron period, the disease severity at admission and inflammatory markers concentration were the lowest. Neurological manifestations were observed in 49%. The most common were altered mentation, headache, myalgia, mood disorder, ischemic stroke and encephalopathy. Smell and taste disturbances (STDs) were less frequent in the Omicron period. Neurological complications were predominant in the pre-Delta and Omicron periods. Ischemic stroke was observed more often in pre-Delta period. Altered mentation was related to higher severity at admission, worse lab test results, higher admission to ICU and mortality, while headache reduced mortality. Pre-existing dementia was related to higher mortality. Conclusions: Neurological manifestations of COVID-19 are frequent, with a lower rate of STDs in the Omicron period and more often cerebrovascular diseases in the pre-Delta period. Headache improves the course of COVID-19, while altered mentation, stroke and neurological comorbidities increase severity and mortality.

Nine-Month Trend of IgG Antibody Persistence and Associated Symptoms Post-SARS-CoV-2 Infection

Between 2 and 8.5% of patients who recover from COVID-19 do not develop antibodies, and the durability of IgG antibodies is under scrutiny. Therefore, the presence and persistence of IgM and IgG antibodies were evaluated in a group of patients diagnosed with SARS-CoV-2 from May to August 2020. Out of 2199 suspected COVID-19 cases, 1264 were confirmed for SARS-CoV-2 by rRT-PCR; 328 consented to participate in the study, with 220 participants followed for 9 months, including 124 men (56%) and 96 women (44%). The primary symptoms were headache, dry cough, and fever. IgG antibodies developed in 95% of patients within 4 weeks post-diagnosis, and a second evaluation at 9 months showed that 72.7% still had detectable IgG antibodies. The presence of IgM in one individual (0.45%) suggested the possibility of reinfection.

Spectrum of COVID-19 induced liver injury: A review report

The coronavirus disease 2019 (COVID-19) pandemic has caused changes in the global health system, causing significant setbacks in healthcare systems worldwide. This pandemic has also shown resilience, flexibility, and creativity in reacting to the tragedy. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection targets most of the respiratory tract, resulting in a severe sickness called acute respiratory distress syndrome that may be fatal in some individuals. Although the lung is the primary organ targeted by COVID-19 viruses, the clinical aspect of the disease is varied and ranges from asymptomatic to respiratory failure. However, due to an unorganized immune response and several affected mechanisms, the liver may also experience liver cell injury, ischemic liver dysfunction, and drug-induced liver injury, which can result in respiratory failure because of the immune system's disordered response and other compromised processes that can end in multisystem organ failure. Patients with liver cirrhosis or those who have impaired immune systems may be more likely than other groups to experience worse results from the SARS-CoV-2 infection. We thus intend to examine the pathogenesis, current therapy, and consequences of liver damage concerning COVID-19.

Viral Pneumonia: From Influenza to COVID-19

Respiratory viruses are increasingly recognized as a cause of community-acquired pneumonia (CAP). The implementation of new diagnostic technologies has facilitated their identification, especially in vulnerable population such as immunocompromised and elderly patients and those with severe cases of pneumonia. In terms of severity and outcomes, viral pneumonia caused by influenza viruses appears similar to that caused by non-influenza viruses. Although several respiratory viruses may cause CAP, antiviral therapy is available only in cases of CAP caused by influenza virus or respiratory syncytial virus. Currently, evidence-based supportive care is key to managing severe viral pneumonia. We discuss the evidence surrounding epidemiology, diagnosis, management, treatment, and prevention of viral pneumonia.

Biomarkers of early SARS-CoV-2 infection before the onset of respiratory symptoms

OBJECTIVES

Currently, limited data exist regarding the pathological changes occurring during the incubation phase of SARS-CoV-2 infection. We utilized proteomic analysis to explore changes in the circulatory host response in individuals with SARS-CoV-2 infection before the onset of symptoms.

METHODS

Participants were individuals from a randomized clinical trial of prophylaxis for COVID-19 in a workers' dormitory. Proteomic signatures of blood samples collected within 7 days before symptom onset (incubation group) were compared with those collected >21 days (non-incubation group) to derive candidate biomarkers of incubation. Candidate biomarkers were assessed by comparing levels in the incubation group with both infected individuals (positive controls) and non-infected individuals (negative controls).

RESULTS

The study included men (mean age 34.2 years and standard deviation 7.1) who were divided into three groups: an incubation group consisting of 44 men, and two control groups-positive (n = 56) and negative (n = 67) controls. Through proteomic analysis, we identified 49 proteins that, upon pathway analyses, indicated an upregulation of the renin-angiotensin and innate immune systems during the virus incubation period. Biomarker analyses revealed increased concentrations of plasma angiotensin II (mean 731 vs. 139 pg/mL), angiotensin (1-7) (302 vs. 9 pg/mL), CXCL10 (423 vs. 85 pg/mL), CXCL11 (82.7 vs. 32.1 pg/mL), interferon-gamma (0.49 vs. 0.20 pg/mL), legumain (914 vs. 743 pg/mL), galectin-9 (1443 vs. 836 pg/mL), and tumour necrosis factor (20.3 vs. 17.0 pg/mL) during virus incubation compared with non-infected controls (all p < 0.05). Plasma angiotensin (1-7) exhibited a significant increase before the onset of symptoms when compared with uninfected controls (area under the curve 0.99, sensitivity 0.97, and specificity 0.99).

DISCUSSION

Angiotensin (1-7) could play a crucial role in the progression of symptomatic COVID-19 infection, and its assessment could help identify individuals who would benefit from enhanced monitoring and early antiviral intervention.

Lymphopenia associated with survivin and its downstream pathway in COVID-19 serving as a potential route in COVID-19 pathogenesis

PURPOSE

Starting in 2019, coronavirus disease 2019 (COVID-19) caused an epidemic that was growing rapidly and has harmed millions of people globally. It has been demonstrated that survivin regulates lymphocyte survival, a main route involved in COVID-19 pathogenesis. Survivin belongs to the inhibitor of apoptosis protein (IAP) family, and its primary functions comprise regulating mitosis and inhibiting apoptosis. Since lower survivin expression has been shown to increase the sensitivity of lymphocytes to apoptotic induction, we looked into the function of survivin and its corresponding pathways in COVID-19 pathogenesis.

MATERIALS AND METHODS

The expression of survivin, X-linked inhibitor of apoptosis protein (XIAP), caspases 3, 7, 9, and poly (ADP-ribose) polymerase (PARP) was evaluated at both mRNA and protein levels in peripheral blood mononuclear cells (PBMCs) derived from healthy donors and patients with severe and moderate COVID-19 by qRT-PCR and Western blotting, respectively. Then, we enforced apoptosis to COVID-19 patient-derived lymphocytes, and the percent was assessed by flow cytometry.

RESULTS

Survivin and XIAP were less expressed in PBMCs derived from COVID-19 patients as apoptosis inhibitors than PARP, cleaved-PARP, caspase 9, and cleaved caspases 3 and 7, according to the results of real-time PCR and Western blot analysis. Additionally, according to the flow cytometry results, the down-regulation of survivin served as a potential factor in the lymphocyte depletion observed in patients with COVID-19.

CONCLUSION

The role of survivin and its related pathway was first discovered in the development of COVID-19 and may serve as a potential prognostic and therapeutic target.

Identification of SARS-CoV-2 m6A modification sites correlate with viral pathogenicity

It has recently been found that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) m6A modifications can affect viral replication and function. However, no studies to date have shown a correlation between SARS-CoV-2 m6A modifications and viral pathogenicity. In this study, we analyzed m6A modification in 2,190,667 SARS-CoV-2 genomic RNAs. m6A modifications of SARS-CoV-2 from different lineages, causing mild or severe COVID-19 and showing breakthrough for different vaccines were analyzed to explore correlations with viral pathogenicity. The results suggested that the presence of more m6A modifications in the SARS-CoV-2 N region (positive strand) correlates with weaker pathogenicity. In addition, we identified three m6A modification sites correlating with weak pathogenicity (924 in ORF1ab, 15,659 in ORF1ab, 28,288 in N, 28,633 in N and 29,385 in N, 29,707 in 3'UTR) and one with strong pathogenicity (74 in 5'UTR). These results provide new information for understanding the prevalence of SARS-CoV-2 and controlling the virus.

Changes in Lymphocyte Subpopulations after Remdesivir Therapy for COVID-19: A Brief Report

Remdesivir (RDV) has demonstrated clinical benefit in hospitalized COronaVIrus Disease (COVID)-19 patients. The objective of this brief report was to assess a possible correlation between RDV therapy and the variation in lymphocyte subpopulations. We retrospectively studied 43 hospitalized COVID-19 patients: 30 men and 13 women (mean age 69.3 ± 15 years); 9/43 had received RDV therapy. Six patients had no need for oxygen (severity group 0); 22 were on oxygen treatment with a fraction of inspired oxygen (FiO2) ≤ 50% (group 1); 7 on not-invasive ventilation (group 2); 3 on invasive mechanical ventilation (group 3); and 5 had died (group 4). Cytofluorimetric assessment of lymphocyte subpopulations showed substantial changes after RDV therapy: B lymphocytes and plasmablasts were significantly increased (p = 0.002 and p = 0.08, respectively). Cytotoxic T lymphocytes showed a robust reduction (p = 0.008). No changes were observed in CD4+-T cells and natural killers (NKs). There was a significant reduction in regulatory T cells (Tregs) (p = 0.02) and a significant increase in circulating monocytes (p = 0.03). Stratifying by disease severity, after RDV therapy, patients with severity 0-2 had significantly higher B lymphocyte and monocyte counts and lower memory and effector cytotoxic T cell counts. Instead, patients with severity 3-4 had significantly higher plasmablast and lower memory T cell counts. No significant differences for CD4+-T cells, Tregs, and NKs were observed. Our brief report showed substantial changes in the lymphocyte subpopulations analyzed between patients who did not receive RDV therapy and those after RDV treatment. Despite the small sample size, due to the retrospective nature of this brief report, the substantial changes in lymphocyte subpopulations reported could lead to speculation on the role of RDV treatment both on immune responses against the virus and on the possible downregulation of the cytokine storm observed in patients with more severe disease.

VExD: a curated resource for human gene expression alterations following viral infection

Much of the host antiviral response is mediated through changes to host gene expression levels. Likewise, viruses induce changes to host gene expression levels in order to promote the viral life cycle and evade the host immune system. However, there is no resource that specifically collects human gene expression levels pre- and post-virus infection. Further, public gene expression repositories do not contain enough specialized metadata to easily find relevant experiments. Here, we present the Virus Expression Database (VExD), a freely available website and database, that collects human gene expression datasets in response to viral infection. VExD contains ∼8,000 uniformly processed samples obtained from 289 studies examining 51 distinct human viruses. We show that the VExD processing pipeline captures known antiviral responses in the form of interferon-stimulated genes. We further show that the datasets collected in VExD can be used to quickly identify supporting data for experiments performed in human cells or model organisms. VExD is freely available at https://vexd.cchmc.org/.

Retinal Vein Occlusion Amongst People Vaccinated by mRNA- and Viral Vector- COVID-19 Vaccines: A Systematic Review

Vaccines are highly effective in lowering the mortality due to COVID-19. Although several suspected adverse events or side effects after vaccination including retinal vein occlusion (RVO) have been reported. We conducted a systematic review using PRISMA methods to analyze the occurrence of RVO among people vaccinated by COVID-19 mRNA- vs viral vector- vaccines on 4 databases from 1-1-2021 to 31-12-2022 using specified MeSH terms. All included studies were assessed using JBI critical appraisal tools for eligibility. The final included studies are 31 studies (n=78 cases from 75 patients; 3 of these patients suffered twice). The median age of the patients was 61 years (28 to 96 years old) and most of them were female (52.00%). Thirty-nine patients received the mRNA vaccine (52.00%), while 36 patients received the viral vector vaccine (48.00%) before the event. The RVO diagnoses are based on physical examination confirmed by Fluorescein Angiography (FA), and/or Optical Coherence Tomography (OCT). The median time interval between vaccination and RVO was 6 days in the mRNA vaccine group and 4 days in the viral vector vaccine group. Central retinal vein occlusion (CRVO) and Branch Retinal Vein Occlusion (BRVO) were tied as the most common diagnosis in the mRNA vaccine group (20.51% and 20.51%), whilst in the viral vector vaccine group CRVO was the most common diagnosis (17.94%). Most of these cases had good outcomes with improved visual impairment in one or both eyes. From this review, we could not ascertain that the RVO occurs due to the type of COVID-19 vaccines because of the detailed data on the dosage and the history of illness of each patient. However, the awareness that the RVO could develop after COVID-19 vaccination must be taken into consideration, even though it is rare.

The Impact of the Covid-19 Pandemic on Patients with Obsessive Compulsive Disorder (OCD)

Objective

An intense desire to avoid contamination is one of the most common symptoms of Obsessive-Compulsive Disorder (OCD). In March 2020, when the COVID-19 outbreak was classified as a pandemic, authorities announced measures to control its spread, including hand washing, quarantine, social distancing and lockdowns. The disease spreads rapidly and has potentially serious complications, and adherence to the recommendations was strongly encouraged. These measures, both by their direct effect and as a consequence of their impact on care provision may trigger complications in patients with OCD.

Method

An online survey was completed by 102 patients with a confirmed OCD diagnosis. The survey collected demographic data, medical and psychiatric history, and asked COVID-19 related questions, OCD-related questions, and included the Self-reported Yale-Brown Obsessive-Compulsive Symptom Checklist (Y-BOCS-II).

Results

The results reveal that new OCD patterns started during the COVID-19 pandemic, including pathological doubt/checking (2.0%), a need for symmetry, order or precision (2.9%), religious pattern (2.9%), somatic/health pattern (4.9%), and a contamination/washing pattern (5.9%), which was the most reported among all patterns. The results also show an increase in overall severity of OCD (36.3%), and (27.5%) of participants also reported an increase in the overall severity of anxiety.

Conclusions

The questionnaire completed by patients previously diagnosed with OCD revealed that during the COVID-19 pandemic there was an increase in the severity of symptoms, with the greatest effect being in individuals with contamination/ washing patterns.

Retinal vascular occlusions in COVID-19 infection and vaccination: a literature review

PURPOSE

Abnormal hypercoagulability and increased thromboembolic risk are common in patients with coronavirus disease (COVID-19). COVID-19 has been suggested to cause retinal vascular damage, with several studies on COVID-19 patients with retinal vascular occlusions. We reviewed and investigated studies on retinal vascular occlusions in patients diagnosed with COVID-19 and in those vaccinated for COVID-19.

METHODS

Studies that reported retinal vascular occlusion in COVID-19 patients or in vaccinated people were identified using the terms "retinal occlusion," together with "severe acute respiratory syndrome coronavirus 2", "SARS-CoV-2," "COVID-19," "coronavirus," and "vaccine," through systematic searches of PubMed and Google Scholar databases until January 7, 2022.

RESULTS

Thirteen cases of retinal artery occlusion (RAO) and 14 cases of retinal vein occlusion (RVO) were identified among patients diagnosed with COVID-19. Half of the patients with RAO or RVO revealed no systemic disorders except current or past COVID-19, and ocular symptoms were the initial presentation in five cases. Among patients with RAO, most presented with central RAO at 1-14 days of COVID-19 diagnosis, with abnormal coagulation and inflammatory markers. Among those with RVO, two-thirds presented with central RVO and one-third with RVO. Eleven cases with acute macular neuroretinopathy (AMN) and/or paracentral acute middle maculopathy (PAMM) were reported among patients with COVID-19, presenting scotoma resolved spontaneously in most cases. Among the 26 cases vaccinated with either mRNA or adenoviral vector vaccines for COVID-19 and presenting retinal vascular occlusions, there were more RVO cases than RAO cases, and ocular symptoms mostly occurred within 3 weeks after vaccination. One case presented bilateral AMN and PAMM after COVID-19 vaccination.

CONCLUSION

Retinal vascular occlusions might be a manifestation of COVID-19, although rare, especially in patients at risk of systemic hypercoagulability and thromboembolism. For COVID-19 vaccines, the causal relationship is controversial because there are few case reports of retinal vascular occlusions after COVID-19 vaccination.

[Mesenchymal stem cells: Therapeutic option in ARDS, COPD, and COVID-19 patients]

Acute respiratory distress syndrome (ARDS), chronic obstructive pulmonary disease (COPD) and COVID-19 have as a common characteristic the inflammatory lesion of the lung epithelium. The therapeutic options are associated with opportunistic infections, a hyperglycemic state, and adrenal involvement. Therefore, the search for new treatment strategies that reduce inflammation, and promote re-epithelialization of damaged tissue is very important. This work describes the relevant pathophysiological characteristics of these diseases and evaluates recent findings on the immunomodulatory, anti-inflammatory and regenerative effect of mesenchymal stem cells (MSC) and their therapeutic use. In Pubmed we selected the most relevant studies on the subject, published between 2003 and 2022 following the PRISMA guide. We conclude that MSCs are an important therapeutic option for regenerative treatment in COPD, ARDS, and COVID-19, because of their ability to differentiate into type II pneumocytes and maintain the size and function of lung tissue by replacing dead or damaged cells.

Rapid review and meta-analysis of serial intervals for SARS-CoV-2 Delta and Omicron variants

BACKGROUND

The serial interval is the period of time between symptom onset in the primary case and symptom onset in the secondary case. Understanding the serial interval is important for determining transmission dynamics of infectious diseases like COVID-19, including the reproduction number and secondary attack rates, which could influence control measures. Early meta-analyses of COVID-19 reported serial intervals of 5.2 days (95% CI: 4.9-5.5) for the original wild-type variant and 5.2 days (95% CI: 4.87-5.47) for Alpha variant. The serial interval has been shown to decrease over the course of an epidemic for other respiratory diseases, which may be due to accumulating viral mutations and implementation of more effective nonpharmaceutical interventions. We therefore aggregated the literature to estimate serial intervals for Delta and Omicron variants.

METHODS

This study followed Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. A systematic literature search was conducted of PubMed, Scopus, Cochrane Library, ScienceDirect, and preprint server medRxiv for articles published from April 4, 2021, through May 23, 2023. Search terms were: ("serial interval" or "generation time"), ("Omicron" or "Delta"), and ("SARS-CoV-2" or "COVID-19"). Meta-analyses were done for Delta and Omicron variants using a restricted maximum-likelihood estimator model with a random effect for each study. Pooled average estimates and 95% confidence intervals (95% CI) are reported.

RESULTS

There were 46,648 primary/secondary case pairs included for the meta-analysis of Delta and 18,324 for Omicron. Mean serial interval for included studies ranged from 2.3-5.8 days for Delta and 2.1-4.8 days for Omicron. The pooled mean serial interval for Delta was 3.9 days (95% CI: 3.4-4.3) (20 studies) and Omicron was 3.2 days (95% CI: 2.9-3.5) (20 studies). Mean estimated serial interval for BA.1 was 3.3 days (95% CI: 2.8-3.7) (11 studies), BA.2 was 2.9 days (95% CI: 2.7-3.1) (six studies), and BA.5 was 2.3 days (95% CI: 1.6-3.1) (three studies).

CONCLUSIONS

Serial interval estimates for Delta and Omicron were shorter than ancestral SARS-CoV-2 variants. More recent Omicron subvariants had even shorter serial intervals suggesting serial intervals may be shortening over time. This suggests more rapid transmission from one generation of cases to the next, consistent with the observed faster growth dynamic of these variants compared to their ancestors. Additional changes to the serial interval may occur as SARS-CoV-2 continues to circulate and evolve. Changes to population immunity (due to infection and/or vaccination) may further modify it.

A bibliometric analysis of the impact of COVID-19 social lockdowns on air quality: research trends and future directions

Social lockdowns improved air quality during the COVID-19 pandemic. Governments had previously spent a lot of money addressing air pollution without success. This bibliometric study measured the influence of COVID-19 social lockdowns on air pollution, identified emerging issues, and discussed future perspectives. The researchers examined the contributions of countries, authors, and most productive journals to COVID-19 and air pollution research from January 1, 2020, to September 12, 2022, from the Web of Sciences Core Collection (WoS). The results showed that (a) publications on the COVID-19 pandemic and air pollution were 504 (research articles) with 7495 citations, (b) China ranked first in the number of publications (n = 151; 29.96% of the global output) and was the main country in international cooperation network, followed by India (n = 101; 20.04% of the total articles) and the USA (n = 41; 8.13% of the global output). Air pollution plagues China, India, and the USA, calling for many studies. After a high spike in 2020, research published in 2021 declined in 2022. The author's keywords have focused on "COVID-19," "air pollution," "lockdown," and "PM₂₅." These keywords suggest that research in this area is focused on understanding the health impacts of air pollution, developing policies to address air pollution, and improving air quality monitoring. The COVID-19 social lockdown served as a specified procedure to reduce air pollution in these countries. However, this paper provides practical recommendations for future research and a model for environmental and health scientists to examine the likely impact of COVID-19 social lockdowns on urban air pollution.

Changes in incidence and mortality trend due to COVID-19 in southern Iran, from 2020 to 2021: based on Cochran-Armitage trend test

Background

In 2020, COVID-19 spread rapidly in Iran and other parts of the world. Some of the epidemiological aspects of this disease remain unknown; therefore, the present study was designed with the aim of determining the trend of incidence and mortality of COVID-19 from February 2020 to July 2021 in southern Iran.

Methods

The present study was a cross-sectional analytical study that included all people who had COVID-19 in the period from February 2020 to July 2021 and whose information had been registered in the Infectious Diseases Center of Larestan city and MCMC unit. The study area included the cities of Larestan, Evaz, and Khonj, located in the south of Fars province in southern Iran.

Results

Since the emergence of COVID-19 until July 2021, a total of 23,246 new cases of infection were reported in the southern region of Fars province. The average age of patients was 39.90±18.30 years and the range of ages varied from 1 to 103 years. The results of the Cochran-Armitage trend test showed that the trend of the disease in 2020 was completely upward. The first positive case of COVID-19 was recorded on February 27, 2020. The incidence curve in 2021 is sinusoidal, but in general, the results of the Cochran-Armitage trend test showed that the incidence of the disease increased significantly (P-trend < 0.001). Most cases were reported in July, April, and the end of March.

Conclusion

In general, the incidence rate of COVID-19 has varied sinusoidally from 2020 to mid-2021. Although the incidence of the disease increased, the number of deaths has fallen. It seems that the increase in the number of diagnostic tests and the implementation of the national COVID-19 immunization program have been effective in changing the trend of the disease.

Antiviral Molecular Targets of Essential Oils against SARS-CoV-2: A Systematic Review

Essential oils are potential therapeutics for coronavirus disease 2019 (COVID-19), in which some of the volatile compounds of essential oils have been well known for their broad antiviral activities. These therapeutic candidates have been shown to regulate the excessive secretion of pro-inflammatory cytokines, which underlies the pathogenesis of severe COVID-19. We aimed to identify molecular targets of essential oils in disrupting the cell entry and replication of SARS-CoV-2, hence being active as antivirals. Literature searches were performed on PubMed, Scopus, Scillit, and CaPlus/SciFinder (7 December 2022) with a truncated title implying the anti-SARS-CoV-2 activity of essential oil. Data were collected from the eligible studies and described narratively. Quality appraisal was performed on the included studies. A total of eight studies were included in this review; four of which used enzyme inhibition assay, one—pseudo-SARS-CoV-2 culture; two—whole SARS-CoV-2 culture; and one—ACE2-expressing cancer cells. Essential oils may prevent the SARS-CoV-2 infection by targeting its receptors on the cells (ACE2 and TMPRSS2). Menthol, 1,8-cineole, and camphor are among the volatile compounds which serve as potential ACE2 blockers. β-caryophyllene may selectively target the SARS-CoV-2 spike protein and inhibit viral entry. Other interactions with SARS-CoV-2 proteases and RdRp are observed based on molecular docking. In conclusion, essential oils could target proteins related to the SARS-CoV-2 entry and replication. Further studies with improved and uniform study designs should be carried out to optimize essential oils as COVID-19 therapies.

Polysaccharides for Medical Technology: Properties and Applications

Over the past decade, the use of polysaccharides has gained tremendous attention in the field of medical technology. They have been applied in various sectors such as tissue engineering, drug delivery system, face mask, and bio-sensing. This review article provides an overview and background of polysaccharides for biomedical uses. Different types of polysaccharides, for example, cellulose and its derivatives, chitin and chitosan, hyaluronic acid, alginate, and pectin are presented. They are fabricated in various forms such as hydrogels, nanoparticles, membranes, and as porous mediums. Successful development and improvement of polysaccharide-based materials will effectively help users to enhance their quality of personal health, decrease cost, and eventually increase the quality of life with respect to sustainability.

Gender, Bladder Cancer Healthcare and Burden of COVID-19

Bladder cancer as one of the main comorbid diseases might be more susceptible to develop COVID-19 infection with a higher mortality risk during the COVID-19 pandemic. The European Association of Urology (EAU) recommended a comprehensive panel for bladder cancer diagnosis and treatment during this global health problem. The urgent need for treatments of COVID-19 during the pandemic has persuaded researchers to evaluate the different medications, which may lead to drug shortages. Therefore, in this review paper, we have focused on the least recommendations of EAU about bladder cancer during of COVID-19 pandemic to provide a comprehensive panel for high-risk patients.

Elucidation of the inhibitory activity of plant-derived SARS-CoV inhibitors and their potential as SARS-CoV-2 inhibitors

Several drugs are now being tested as possible therapies due to the necessity of treating SARS-CoV-2 infection. Although approved vaccines bring much hope, a vaccination program covering the entire global population will take a very long time, making the development of effective antiviral drugs an effective solution for the immediate treatment of this dangerous infection. Previous studies found that three natural compounds, namely, tannic acid, 3-isotheaflavin-3-gallate and theaflavin-3,3-digallate, are effective proteinase (3CL^pro) inhibitors of SARS-CoV (IC₅₀ <10 µM). Based on this information and due to the high sequence identity between SARS-CoV and SARS-CoV-2 3CL^pro, these three compounds could be candidate inhibitors of SARS-CoV-2 3CL^pro. This paper explores the structural and energetic features that guided the molecular recognition of these three compounds for dimeric SARS-CoV-2 and SARS-CoV 3CL^pro, the functional state of this enzyme, using docking and MD simulations with the molecular mechanics-generalized-born surface area (MMGBSA) approach. Energetic analysis demonstrated that the three compounds reached good affinities in both systems in the following order: tannic acid > 3-isotheaflavin-3-gallate > theaflavin-3,3-digallate. This tendency is in line with that experimentally reported between these ligands and SARS-CoV 3CL^pro. Therefore, tannic acid may have clinical usefulness against COVID-19 by acting as a potent inhibitor of SARS-CoV-2 3CL^pro.Communicated by Ramaswamy H. Sarma.

Bacterial Cellulose: Nano-biomaterial for Biodegradable Face Masks- A Greener Approach Towards Environment

The use of face masks aids to stop the transmission of various deadly communicable ailments, and therefore widespread mask wearing habit is advocated by nearly all health organisations including the WHO to curb the COVID-19 pandemic. Recent studies predicted a shocking requirement of masks globally, approximately billions of masks per week in a single country, and maximum of them are disposable masks, which are made up of nonbiodegradable material such as polypropylene. With expanding review on improper masks disposal, it is imperative to perceive this inherent environmental hazard and avert it from resulting in the subsequent problematic situation due to plastic. The shift towards biodegradable biopolymers alternatives such as bacterial cellulose and newly evolving sustainable scientific knowledge would be significant to dealt with upcoming environmental problem. Bacterial cellulose possesses various desirable properties to replace the conventional mask material. This review gives an overview of data about accumulation of waste masks and its potential harm on environment. It also focuses on diverse characteristics of bacterial cellulose which make it suitable material for making mask and the challenges in the way of bacterial cellulose production and their possible solution. The current review also discussed the report on global bacterial cellulose market growth.

Residency Program Responses to Early COVID-19 Surges Highlight Tension as to Whether Residents Are Learners or Essential Workers

PURPOSE

To quantify the extent to which internal medicine (IM) residents provided care for patients with COVID-19 and examine characteristics of residency programs with or without plans (at some point) to exclude residents from COVID-19 care during the first 6 months of the pandemic.

METHOD

The authors used data from a nationally representative, annually recurring survey of U.S. IM program directors (PDs) to quantify early (March-August 2020) resident participation in COVID-19 care. The survey was fielded from August to December 2020. PDs reported whether they had planned to exclude residents from COVID-19 care (i.e., PTE status). PTE status was tested for association with program and COVID-19 temporal characteristics, resident schedule accommodations, and resident COVID-19 cases.

RESULTS

The response rate was 61.5% (264/429). Nearly half of PDs (45.4%, 118/260) reported their program had planned at some point to exclude residents from COVID-19 care. Northeastern U.S. programs represented a smaller percentage of PTE than non-PTE programs (26.3% vs 36.6%; P = .050). PTE programs represented a higher percentage of programs with later surges than non-PTE programs (33.0% vs 13.6%, P = .048). Median percentage of residents involved in COVID-19 care was 75.0 (interquartile range [IQR]: 22.5-100.0) for PTE programs, compared with 95.0 (IQR: 60.0-100.0) for non-PTE programs ( P < .001). Residents participated most in intensive care units (87.6%, 227/259) and inpatient wards (80.8%, 210/260). Accommodations did not differ by PTE status. PTE programs reported fewer resident COVID-19 cases than non-PTE programs (median percentage = 2.7 [IQR: 0.0-8.6] vs 5.1 [IQR: 1.6-10.7]; P = .011).

CONCLUSIONS

IM programs varied widely in their reported plans to exclude residents from COVID-19 care during the early pandemic. A high percentage of residents provided COVID-19 care, even in PTE programs. Thus, the pandemic highlighted the tension as to whether residents are learners or employees.

The Lesson Learned from the COVID-19 Pandemic: Can an Active Chemical Be Effective, Safe, Harmless-for-Humans and Low-Cost at a Time? Evidence on Aerosolized Hypochlorous Acid

The COVID-19 pandemic has underlined the importance of disinfectants as tools to prevent and fight against coronavirus spreading. An ideal disinfectant and sanitizer must be nontoxic to surface contact, noncorrosive, effective, and relatively inexpensive as it is hypochlorous acid (HOCl). The present work intended to evaluate, on different surfaces, the bactericidal and virucidal effectiveness of nebulized HOCl and test its safety usage in 2D and 3D skin and lung models. Our data showed that HOCl at the dose of 300 ppm did not affect cellular and tissue viability, not their morphology. The HOCl bactericidal properties varies with the surface analyzed: 69% for semi-porous, 96-99.9% for flat and porous. This discrepancy was not noticed for the virucidal properties. Overall, this study showed that nebulized HOCl can prevent virus and bacteria growth without affecting lung and skin tissues, making this compound a perfect candidate to sanitize indoor environments.

A Comparative Study of Voltammetric vs Impedimetric Immunosensor for Rapid SARS-CoV-2 Detection at the Point-of-care

Here, a novel biosensing platform for the detection of SARS-CoV-2 usable both at voltammetric and impedimetric mode is reported. The platform was constructed on a multi-walled carbon nanotubes (MWCNTs) screen-printed electrode (SPE) functionalized by methylene blue (MB), antibodies against SARS-CoV-2 spike protein (SP), a bioactive layer of chitosan (CS) and protein A (PrA). The voltammetric sensor showed superior performances both in phosphate buffer solution (PBS) and spiked-saliva samples, with LOD values of 5.0±0.1 and 30±2.1 ng/mL, compared to 20±1.8 and 50±2.5 ng/mL for the impedimetric sensor. Moreover, the voltammetric immunosensor was tested in real saliva, showing promising results.

Multi-modal fusion of deep transfer learning based COVID-19 diagnosis and classification using chest x-ray images

COVID-19 pandemic has a significant impact on the global health and daily lives of people living over the globe. Several initial tests are based on the detecting of the genetic material of the coronavirus, and they have a minimum detection rate with a time-consuming process. To overcome this issue, radiological images are recommended where chest X-rays (CXRs) are employed in the diagnostic process. This article introduces a new Multi-modal fusion of deep transfer learning (MMF-DTL) technique to classify COVID-19. The proposed MMF-DTL model involves three main processes, namely pre-processing, feature extraction, and classification. The MMF-DTL model uses three DL models namely VGG16, Inception v3, and ResNet 50 for feature extraction. Since a single modality would not be adequate to attain an effective detection rate, the integration of three approaches by the use of decision-based multimodal fusion increases the detection rate. So, a fusion of three DL models takes place to further improve the detection rate. Finally, a softmax classifier is employed for test images to a set of six different. A wide range of experimental result analyses is carried out on the Chest-X-Ray dataset. The proposed fusion model is found to be an effective tool for COVID-19 diagnosis using radiological images with the average sens _y of 92.96%, spec _y of 98.54%, prec _n of 93.60%, accu _y of 98.80%, F _score of 93.26% and kappa of 91.86%.

CT Imaging Features and Clinical Characteristics of 2019 Novel Coronavirus Pneumonia (COVID-19) During Rehabilitation

This study aims to explore the clinical characteristics of the patients with novel coronavirus pneumonia (COVID-19) during rehabilitation. One hundred and twelve confirmed patients were enrolled, while 72 were females (64.3%) and 40 were males (35.7%). The age of the patients was 51.63 ± 4.07 years old. Those patients were divided into mild group, moderate group and severe group based on lesion volume and proportion of total lesion on CT images. The age, gender, past medical history, finger pulse oxygen (SPO2), heart rate (HR) and body temperature and other clinical characteristics of patients were collected. Lesion volume was measured by CT. Compared with mild group, age, lesion volume and total lesion proportion in moderate group were significantly higher. Age, lesion volume and total lesion proportion in severe group were also higher than those in moderate group. Age and past medical history were the risk factors for the lesion volume of COVID-19. Older the patient has larger CT lesion range (R = 0.232, P = 0.045). Without past medical history or combination of post-medical history, the COVID-19 patients had smaller CT lesion ranges, and the history of previous cardiovascular disease and pulmonary disease was important risk factors for the larger CT lesion ranges. The patients who were older or combined with chronic diseases, especially cardiovascular diseases, respiratory disease and diabetes, tended to have the larger lesions. Age and past medical history of patients with COVID-19 period are significantly related to the lesion volume and total lesion proportion on CT images.

COVID-19 Pandemic: Insights into Interactions between SARS-CoV-2 Infection and MAFLD

COVID-19, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become an ongoing global health pandemic. Since 2019, the pandemic continues to cast a long shadow on all aspects of our lives, bringing huge health and economic burdens to all societies. With our in-depth understanding of COVID-19, from the initial respiratory tract to the later gastrointestinal tract and cardiovascular systems, the multiorgan involvement of this infectious disease has been discovered. Metabolic dysfunction-associated fatty liver disease (MAFLD), formerly named nonalcoholic fatty liver disease (NAFLD), is a major health issue closely related to metabolic dysfunctions, affecting a quarter of the world's adult population. The association of COVID-19 with MAFLD has received increasing attention, as MAFLD is a potential risk factor for SARS-CoV-2 infection and severe COVID-19 symptoms. In this review, we provide an update on the interactions between COVID-19 and MAFLD and its underlying mechanisms.

Perceived stress, trust, safety and severity of SARS-CoV-2 infection among patients discharged from hospital during the COVID-19 pandemic's first wave: a PREMs survey

AIM

To investigate experiences of stress, feelings of safety, trust in healthcare staff and perceptions of the severity of a SARS-CoV-2 infection among inpatients discharged from Valais Hospital, Switzerland, during the COVID-19 pandemic's first wave.

METHODS

Discharged patients aged 18 years or more (n=4665), hospitalised between 28 February and 11 May 2020, whether they had been infected by SARS-CoV-2 or not, were asked to complete a self-reporting questionnaire, as were their informal caregivers, if available (n=866). Participants answered questions from Cohen's Perceived Stress Scale (PSS) (0=no stress, 40=severe stress), Krajewska-Kułak et al's Trust in Nurses Scale and Anderson and Dedrick's Trust in Physician Scale (10=no trust, 50=complete trust), the severity of a SARS-CoV-2 infection (1=not serious, 5=very serious), as well as questions on their perceived feelings of safety (0=not safe, 10=extremely safe).

RESULTS

Of our 1341 respondents, 141 had been infected with SARS-CoV-2. Median PSS score was 24 (IQR1-3=19-29), median trust in healthcare staff was 33 (IQR1-3=31-36), median perceived severity of a SARS-CoV-2 infection was 4 (IQR1-3=3-4) and the median feelings of safety score was 8 (IQR1-3=8-10). Significant differences were found between males and females for PSS scores (p<0.001) and trust scores (p<0.001). No significant differences were found between males and females for the perceived severity of SARS-CoV-2 infection scores (p=0.552) and the feelings of safety (p=0.751). Associations were found between age and trust scores (Rs=0.201), age and perceived SARS-CoV-2 severity scores (Rs=0.134), sex (female) and perceived stress (Rs=0.114), and sex (female) and trust scores (Rs=0.137). Associations were found between SARS-CoV-2 infected participants and the perceived SARS-CoV-2 severity score (Rs=-0.087), between trust scores and feelings of safety (Rs=0.147), and perceived severity of a SARS-CoV-2 infection (Rs=0.123).

DISCUSSION

The results indicated that inpatients experienced significant feelings of stress regarding perceived symptoms of the illness, yet this did not affect their feelings of safety, trust in healthcare staff or perception of the severity of SARS-CoV-2 infection. Future patient-reported experience measures research is needed to give a voice to healthcare users and facilitate comparison measures internationally.

Spatial epidemiology and meteorological risk factors of COVID-19 in Fars Province, Iran

This study aimed at detecting space-time clusters of COVID-19 cases in Fars Province, Iran and at investigating their potential association with meteorological factors, such as temperature, precipitation and wind velocity. Time-series data including 53,554 infected people recorded in 26 cities from 18 February to 30 September 2020 together with 5876 meteorological records were subjected to the analysis. Applying a significance level of P<0.05, the analysis of space-time distribution of COVID-19 resulted in nine significant outbreaks within the study period. The most likely cluster occurred from 27 March to 13 July 2020 and contained 11% of the total cases with eight additional, secondary clusters. We found that the COVID-19 incidence rate was affected by high temperature (OR=1.64; 95% CI: 1.44-1.87), while precipitation and wind velocity had less effect (OR=0.84; 95% CI: 0.75-0.89 and OR=0.27; 95% CI: 0.14-0.51), respectively.

Predicting COVID-19 Cases in South Korea Using Stringency and Niño Sea Surface Temperature Indices

Most coronavirus disease 2019 (COVID-19) models use a combination of agent-based and equation-based models with only a few incorporating environmental factors in their prediction models. Many studies have shown that human and environmental factors play huge roles in disease transmission and spread, but few have combined the use of both factors, especially for SARS-CoV-2. In this study, both man-made policies (Stringency Index) and environment variables (Niño SST Index) were combined to predict the number of COVID-19 cases in South Korea. The performance indicators showed satisfactory results in modeling COVID-19 cases using the Non-linear Autoregressive Exogenous Model (NARX) as the modeling method, and Stringency Index (SI) and Niño Sea Surface Temperature (SST) as model variables. In this study, we showed that the accuracy of SARS-CoV-2 transmission forecasts may be further improved by incorporating both the Niño SST and SI variables and combining these variables with NARX may outperform other models. Future forecasting work by modelers should consider including climate or environmental variables (i.e., Niño SST) to enhance the prediction of transmission and spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

Green aspects of photocatalysts during corona pandemic: a promising role for the deactivation of COVID-19 virus

The selection of a facile, eco-friendly, and effective methodology is the need of the hour for efficient curing of the COVID-19 virus in air, water, and many food products. Recently, semiconductor-based photocatalytic methodologies have provided promising, green, and sustainable approaches to battle against viral activation via the oxidative capabilities of various photocatalysts with excellent performance under moderate conditions and negligible by-products generation as well. Considering this, recent advances in photocatalysis for combating the spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are inclusively highlighted. Starting from the origin to the introduction of the coronavirus, the significant potential of photocatalysis against viral prevention and -disinfection is discussed thoroughly. Various photocatalytic material-based systems including metal-oxides, metal-free and advanced 2D materials (MXenes, MOFs and COFs) are systematically examined to understand the mechanistic insights of virus-disinfection in the human body to fight against COVID-19 disease. Also, a roadmap toward sustainable solutions for ongoing COVID-19 contagion is also presented. Finally, the challenges in this field and future perspectives are comprehensively discussed involving the bottlenecks of current photocatalytic systems along with potential recommendations to deal with upcoming pandemic situations in the future.

Epidemiological Study of Infection and Death Due to COVID-19 in Fars Province, Iran, From February to September 2020

Background

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has entered our lives with the fear of outbreak, death, and recurrence. Our objective in this study is to evaluate the epidemiological features of Coronavirus Disease 2019 (COVID-19) infection and death in Fars province, Iran.

Methods

A cross-sectional study was conducted from February 18^th to September 30^th, 2020, where age, history of underlying diseases, sex, community-wide quarantine, nationality, close contact, pregnancy, medical staff job, traveling , and residency were compared between alive and deceased groups. Data were analyzed using IBM SPSS software, version 22.0, and the significance level was set at 0.05.

Results

Regarding 57958 new cases of COVID-19, the basic reproduction number (R₀) was estimated as 2.8, requiring a minimum of 65% immunization to reach herd immunity. Moreover, an R₀=0.36 was required to reach the endemic state in the region. The incidence, mortality, fatality, and recurrence rates of COVID-19 were estimated as 1347.9 per 100,000 dwellers, 209.5 per 1000,000 dwellers, 1.6 %, and 3.1 per 100,000 dwellers, respectively. Age, history of underlying diseases, urban residency, and the male sex were significantly higher in the deceased group (OR=1.09, 5.48, 1.24, and 1.32; All Ps<0.001, <0.001, 0.005, and <0.001, respectively). In addition, the recurrence rate among positive cases was estimated as 0.23% with a median±inter-quartile range equal to 84±46.25 days. Community-wide quarantine was shown to be a protective factor for death due to COVID-19 (OR=0.58, P=0.005).

Conclusion

Community-wide quarantine blocks the transmission of COVID-19 effectively. COVID-19 enjoys no solid immunity. History of underlying diseases, the male sex, urban residency, and age were among the most significant causes of death due to COVID-19. Further investigations are recommended on the genetic structure of SARS-CoV-2, treatments, and vaccination.

COVID-19 Severity and SARS-Cov-2 Vaccine Safety in Pemphigus Patients

BACKGROUND

There are safety concerns in the treatment of pemphigus patients with immunosuppressants, particularly Rituximab (RTX), in times of the COVID-19 pandemic. In the beginning, the reports were more pessimistic. However, few reports have recently pointed to manageable courses in this patient group. Therefore, we investigated the disease characteristics and demographic features of pemphigus patients in the period of the COVID-19 pandemic.

OBJECTIVE

We aimed to investigate the impact of immunosuppressants on the course of COVID-19 in pemphigus patients. Also, we tried to find out the rate of flares due to COVID-19 and SARS-Cov-2 vaccines.

METHOD

This multicenter study included 247 patients with pemphigus from three tertiary dermatology clinics with the specialized outpatient clinic for autoimmune blistering diseases. Patients were asked standardized questions in person or via telephone calls. Also, demographic data were collected from patients' files.

RESULTS

244 of 247 patients took the survey between August and September 2021. The data of 3 patients were obtained from the National Health System. We collected the data of all pemphigus patients who visited the clinics at least once in the past three years. Among 51 patients having COVID-19, 40 had a non-serious disease, whereas 11 required hospitalization. One patient died because of COVID-19 infection.

LIMITATION

The number of patients is limited, and data depends mainly on patients' statements.

CONCLUSION

RTX treatment does not require additional safety cautions than other immunosuppressives. This article is protected by copyright. All rights reserved.

Local binary pattern and deep learning feature extraction fusion for COVID-19 detection on computed tomography images

The deadly coronavirus virus (COVID-19) was confirmed as a pandemic by the World Health Organization (WHO) in December 2019. It is important to identify suspected patients as early as possible in order to control the spread of the virus, improve the efficacy of medical treatment, and, as a result, lower the mortality rate. The adopted method of detecting COVID-19 is the reverse-transcription polymerase chain reaction (RT-PCR), the process is affected by a scarcity of RT-PCR kits as well as its complexities. Medical imaging using machine learning and deep learning has proved to be one of the most efficient methods of detecting respiratory diseases, but to train machine learning features needs to be extracted manually, and in deep learning, efficiency is affected by deep learning architecture and low data. In this study, handcrafted local binary pattern (LBP) and automatic seven deep learning models extracted features were used to train support vector machines (SVM) and K-nearest neighbour (KNN) classifiers, to improve the performance of the classifier, a concatenated LBP and deep learning feature was proposed to train the KNN and SVM, based on the performance criteria, the models VGG-19 + LBP achieved the highest accuracy of 99.4%. The SVM and KNN classifiers trained on the hybrid feature outperform the state of the art model. This shows that the proposed feature can improve the performance of the classifiers in detecting COVID-19.

A review on COVID-19 transmission, epidemiological features, prevention and vaccination

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused hundreds of millions of infections and millions of deaths over past two years. Currently, many countries have still not been able to take the pandemic under control. In this review, we systematically summarized what we have done to mitigate the COVID-19 pandemic, from the perspectives of virus transmission, public health control measures, to the development and vaccination of COVID-19 vaccines. As a virus most likely coming from bats, the SARS-CoV-2 may transmit among people via airborne, faecal-oral, vertical or foodborne routes. Our meta-analysis suggested that the R₀ of COVID-19 was 2.9 (95% CI: 2.7–3.1), and the estimates in Africa and Europe could be higher. The median R_t could decrease by 23–96% following the nonpharmacological interventions, including lockdown, isolation, social distance, and face mask, etc. Comprehensive intervention and lockdown were the most effective measures to control the pandemic. According to the pooled R₀ in our meta-analysis, there should be at least 93.3% (95% CI: 89.9–96.2%) people being vaccinated around the world. Limited amount of vaccines and the inequity issues in vaccine allocation call for more international cooperation to achieve the anti-epidemic goals and vaccination fairness.

Severe Infections Due to Respiratory Viruses

Severe viral infections may result in severe illnesses capable of causing acute respiratory failure that could progress rapidly to acute respiratory distress syndrome (ARDS), related to worse outcomes, especially in individuals with a higher risk of infection, including the elderly and those with comorbidities such as asthma, diabetes mellitus and chronic respiratory or cardiovascular disease. In addition, in cases of severe viral pneumonia, co-infection with bacteria such as Streptococcus pneumoniae and Staphylococcus aureus is related to worse outcomes. Respiratory viruses like influenza, rhinovirus, parainfluenza, adenovirus, metapneumovirus, respiratory syncytial virus, and coronavirus have increasingly been detected. This trend has become more prevalent, especially in critically ill patients, due to the availability and implementation of molecular assays in clinical practice. Respiratory viruses have been diagnosed as a frequent cause of severe pneumonia, including cases of community-acquired pneumonia, hospital-acquired pneumonia, and ventilator-associated pneumonia. In this review, we will discuss the epidemiology, diagnosis, clinical characteristics, management, and prognosis of patients with severe infections due to respiratory viruses, with a focus on influenza viruses, non-influenza viruses, and coronaviruses.

Toll-Like Receptors (TLRs) as Therapeutic Targets for Treating SARS-CoV-2: An Immunobiological Perspective

INTRODUCTION

Coronavirus disease-19 (COVID-19) caused by SARS-CoV-2 is presently the biggest threat to mankind throughout the globe. Increasing reports on deaths, cases of new infection, and socioeconomic losses are continuously coming from all parts of the world. Developing an efficacious drug and/or vaccine is currently the major goal to the scientific communities. In this context, toll-like receptors (TLRs) could be the useful targets in adopting effective therapeutic approaches.

METHODS

This chapter has been written by incorporating the findings on TLR-based therapies against SARS-CoV-2 demonstrated in the recently published research papers/reviews.

RESULTS

TLRs are the essential components of host immunity and play critical roles in deciding the fate of SARS-CoV-2 by influencing the immunoregulatory circuits governing human immune response to this pathogen. Hitherto, a number of multi-subunit peptide-based vaccines and pharmacological agents developed against SARS-CoV-2 have been found to manipulate TLR function. Therefore, circumventing overt immunopathology of COVID-19 applying TLR-antagonists can effectively reduce the morality caused from "cytokine storm"-induced multiorgan failure. Similarly, pre-administration of TLR- agonists may be used as a prophylaxis to sensitize the immune system of the individuals having risk of infection. A lot of collaborative efforts are required for bench-to-bench transformation of these knowledges.

CONCLUSION

This chapter enlightens the potentials and promises of TLR-guided therapeutic strategies against COVID-19 by reviewing the major findings and achievements depicted in the literatures published till date.

Ocular Manifestations in Patients with Coronavirus Disease 2019 (COVID-19): A Real World Multicenter Observational Study in Egypt

Background:

The aim of the work was to evaluate the ocular manifestations in the patients with COVID-19 and its role in the prediction of the course and the outcome of the disease.

Methods:

This retrospective study was conducted at two tertiary referral COVID-19 isolation hospitals in two major university hospitals in Egypt. Two hundred and twenty-eight patients were enrolled in the study. The medical records of patients who had clinically confirmed COVID-19 between 1/5/2020 to 15/7/2020 were retrospectively reviewed. Data were collected from patient charts, including age, sex, accommodation, ocular manifestations, fever, headache, cough, dyspnea, anosmia, cyanosis, abdominal pain, anorexia, liver, kidney, cardiac manifestations, CT, X-ray finding, blood tests, and outcome of the disease.

Results:

Thirty-four patients with ocular manifestation were finally enrolled in the study with a mean age of 42.1 years; 20 patients (58.8%) were men. The incidence of ocular manifestation was 14.9% (34/228). All patients with ocular manifestations had conjunctivitis (redness, epiphora, foreign body sensation), which had been treated and resolved completely within 10 days in all patients without any permanent ocular damage. There was a trend between the presence of ocular manifestations and the associated milder disease course, although this trend was not statistically significant.

Conclusion:

Ophthalmic manifestation is common in patients with COVID-19 and it occurs more frequently in patients with mild to moderate form of COVID-19, but it could not predict the patient’s mortality.

Ocular Manifestations in Patients with Coronavirus Disease 2019 (COVID-19): A Real World Multicenter Observational Study in Egypt

Background:

The aim of the work was to evaluate the ocular manifestations in the patients with COVID-19 and its role in the prediction of the course and the outcome of the disease.

Methods:

This retrospective study was conducted at two tertiary referral COVID-19 isolation hospitals in two major university hospitals in Egypt. Two hundred and twenty-eight patients were enrolled in the study. The medical records of patients who had clinically confirmed COVID-19 between 1/5/2020 to 15/7/2020 were retrospectively reviewed. Data were collected from patient charts, including age, sex, accommodation, ocular manifestations, fever, headache, cough, dyspnea, anosmia, cyanosis, abdominal pain, anorexia, liver, kidney, cardiac manifestations, CT, X-ray finding, blood tests, and outcome of the disease.

Results:

Thirty-four patients with ocular manifestation were finally enrolled in the study with a mean age of 42.1 years; 20 patients (58.8%) were men. The incidence of ocular manifestation was 14.9% (34/228). All patients with ocular manifestations had conjunctivitis (redness, epiphora, foreign body sensation), which had been treated and resolved completely within 10 days in all patients without any permanent ocular damage. There was a trend between the presence of ocular manifestations and the associated milder disease course, although this trend was not statistically significant.

Conclusion:

Ophthalmic manifestation is common in patients with COVID-19 and it occurs more frequently in patients with mild to moderate form of COVID-19, but it could not predict the patient’s mortality.

Analysis of responses of the health care workers recovered from COVID-19 on convalescent plasma donation by apheresis: A single-center survey study

Background

The COVID‐19 convalescent plasma (CCP) has been tried as a therapy in moderate COVID‐19 pneumonia. Donation of CCP requires motivation from recovered patients. This study evaluated the response of such recovered health care workers (HCWs) when they were motivated for CCP donation.

Methods

An interview‐based survey was carried out with recovered HCWs as study participants between August 2020 and November 2020. A qualified social worker explained the details of CCP donation over a mobile call; he clarified all their doubts and motivated them for the plasma donation. Their responses were recorded as “interested” or “not interested” followed by analysis.

Results

We tried to call 624 recovered HCWs, but could not reach 213, and the final group available for the study was 411 participants. Of these 411, 186 were deferred. Finally, we analyzed a total of 225 responses. Eventually, 105 out of 225 HCWs (47%) were interested; there were no significant differences in responses among males and females and between different age groups (<.001) and the “doctors” designation category (P = .01) had a maximum number of “interested” responses. In multivariate logistic regression, only the “interested” responses of the doctors were significantly higher after adjusting the confounding effect of the “graduate and above” educational qualification category.

Conclusion

This study found that nearly half of the eligible HCWs were interested in CCP donation. The educational qualification and designation among the recovered HCWs had an impact on CCP donation interest. The doctors were more interested in CCP donation compared to others.

Prognostic factors for predicting severity and mortality in hospitalized COVID‐19 patients

Background

Coronavirus disease 2019, COVID‐19, has reached all the corners of the world and was declared by the WHO as a global pandemic and public health emergency of international concern on the January 31, 2020. Allocating quick and specific biomarkers to predict the disease severity upon admission to hospital became a crucial need. This study, therefore, aimed at exploring the relationship between laboratory results in COVID‐19 patients admitted to hospital and the final outcome in these patients.

Methods

Retrospective analysis was performed on the medical records of 310 COVID‐19‐positive patients admitted to Uhod Hospital, the referral hospital in the area of Madinah, Kingdom of Saudi Arabia, between the April 13 and the July 29, 2020. The association of laboratory results with the survival/mortality outcomes was studied.

Results

It was demonstrated that lymphopenia, prolonged aPTT, high INR, high D. dimer and high CK are valuable prognostic predictors of the severity of the disease at early stages that can determine the outcome. Based on the results of the multiple logistic regression, the variables that are associated with death outcome are aPTT, HR, RR, ALT and CK level

Conclusion

It is proposed to perform these tests on admission to hospital for moderate to severe COVID‐19 patients to improve the management of those cases and reduce mortality.

Analysis of Career-Advancement for Medical School Graduates During the COVID-19 Pandemic at a Chinese Teaching Hospital

The COVID-19 pandemic has led to widespread social and economic disruptions in the balance of labor market. Our study aims to analyze the career-advancement of medical school graduates during the COVID-19 pandemic and the associated influencing factors. We collected and compared the career-advancement data of medical school graduates at a Chinese teaching hospital from 2016 to 2020. A self-designed 20-element medical graduates employment questionnaire and a Chinese adaptation of the General self-efficacy scale were distributed by the Questionnaire Star platform. Univariate analysis (Pearson's Chi-square-test and Fisher's exact-test) and subsequent binary logistic regression were used. Findings demonstrated that the career-advancement rate of medical graduate students in 2020 is 71.3%, which is significantly lower than that for the preceding 4 years from 2016 to 2019 (p < 0.001). Of the 251 employed medical school graduates, 159 (63.3%) have signed an employment agreement or contract, 83 (33.1%) are pursuing continued education domestically, and 9 (3.6%) have offers from foreign institutions. Univariate analysis revealed statistical differences of medical graduates' employment among various specialties, oral defense completion, job search start date, CV submission times, participation in a probationary period, and self-efficacy. Significant predictors for successful employment were early job search and self-efficacy by logistic regression model (χ² = 12.719, p < 0.001). Most medical graduates assumed that the COVID-19 pandemic had a major (40.6%) or moderate (48%) impact on career-advancement. The COVID-19 pandemic has profoundly impacted the career-advancement of medical school graduates in 2020. We should make adaptive changes to improve the career-advancement of medical graduates.

Movement and risk perception: evidence from spatial analysis of mobile phone-based mobility during the COVID-19 lockdown, Nigeria

The emergence of COVID-19 across the globe prompted many countries to institute total lockdown or other models of mobility restrictions to mitigate the spread of the disease. On March 29th, Nigeria instituted a nationwide lockdown. It is pertinent to understand the pattern created by this lockdown. This could offer insights into how people perceive the hazard and the level of compliance across the States in Nigeria. Mobile phone-based mobility data and the number of new cases from the beginning to the end of the lockdown were utilised. The study examines space-time trends across different place categories at the state level. Place categories witnessed mobility reduction as high as 56%, 57%, 65%, 75%, 38% for retail and recreation (RtRc), Grocery and Pharmacy (GrPh), Park, and Transport Hubs (Trst) respectively. Most States recorded mobility uptrend towards workplace, retail and recreational areas. Multiple correspondence analysis (MCA) identified two dimensions from the Space-time trends. The first dimension (D1) accounted for 66% of the variance. Examination of the Object Scores from the MCA showed that there are two classes-two risk perception groups. The pattern of mobility recorded shows that there is a variation in mobility restriction compliance across the States. The trend groupings identified captured an aspect of risk perception within each State. Thus, pointing to difference in levels of risk acceptance. With the level of misinformation currently being experienced worldwide, concerted efforts should be made on improving risk perception to prevent the re-emergence of the disease.

Clinicopathologic features among different viral epidemic outbreaks involving the skin

The current coronavirus disease 2019 pandemic has exceeded any epidemiologic prevision, but increasing information suggests some analogies with the major viral outbreaks in the last century, and a general warning has been issued on the possibility that coinfections can make the differential diagnosis and treatment difficult, especially in tropical countries. Some reports have noted that the presence of high dengue antibodies can give a false-negative result when testing for severe acute respiratory syndrome coronavirus 2. Mucocutaneous manifestations are very frequent, with an apparent overlap among different pathogens. However, strong clinicopathologic correlation might provide some clues to address differentials. Waiting for laboratory and instrumental results, the timing and distribution of skin lesions is often pathognomonic. Histopathologic findings characterize certain reaction patterns and provide insights on pathogenetic mechanisms. Unfortunately, skin assessment, especially invasive examinations such as biopsy, takes a back seat in severely ill patients. A literature retrieval was performed to collect information from other epidemics to counteract what has become the most frightening disease of our time.

Ribonucleocapsid assembly/packaging signals in the genomes of the coronaviruses SARS-CoV and SARS-CoV-2: detection, comparison and implications for therapeutic targeting

The genomic ssRNA of coronaviruses is packaged within a helical nucleocapsid. Due to transitional symmetry of a helix, weakly specific cooperative interaction between ssRNA and nucleocapsid proteins leads to the natural selection of specific quasi-periodic assembly/packaging signals in the related genomic sequence. Such signals coordinated with the nucleocapsid helical structure were detected and reconstructed in the genomes of the coronaviruses SARS-CoV and SARS-CoV-2. The main period of the signals for both viruses was about 54 nt, that implies 6.75 nt per N protein. The complete coverage of the ssRNA genome of length about 30,000 nt by the nucleocapsid would need 4.4 × 103 N proteins, that makes them the most abundant among the structural proteins. The repertoires of motifs for SARS-CoV and SARS-CoV-2 were divergent but nearly coincided for different isolates of SARS-CoV-2. We obtained the distributions of assembly/packaging signals over the genomes with nonoverlapping windows of width 432 nt. Finally, using the spectral entropy, we compared the load from point mutations and indels during virus age for SARS-CoV and SARS-CoV-2. We found the higher mutational load on SARS-CoV. In this sense, SARS-CoV-2 can be treated as a 'newborn' virus. These observations may be helpful in practical medical applications and are of basic interest. Communicated by Ramaswamy H. Sarma.

Tea and coffee polyphenols and their biological properties based on the latest in vitro investigations

Tea and coffee contain numerous polyphenolic compounds that exhibit health-promoting properties for humans, including antioxidant and neuroprotective properties, and can also take part in the treatment of covid-19 and improve fertility. This review, presents the activity of polyphenols found in different types of tea and coffee and describes the effects of tea fermentation and coffee roasting on their polyphenol composition and antioxidant properties. Polyphenol oxidase activity is reduced in the fermentation process; therefore black tea contains significantly less polyphenolic compounds compared to green and white tea. Epigallocatechin-3-gallate - a polyphenol from tea - effectively has been shown to inhibit the activity of SARS-CoV-2 as it blocked binding of coronavirus 2 to human angiotensin converting enzyme 2, decreased the expression of inflammatory factors in the blood, including tumor necrosis factor-α and interleukin-6, and significantly increased the overall fertilization efficiency in animals. Coffee roasting process influences both the content of polyphenols and the oxidative activity. The lowest levels of active compounds such as caffeine, chlorogenic acid and coffee acids are identified in roasted coffee beans. On the other hand, light coffee and green coffee show the strongest cytotoxic potential and antioxidant properties, and thus the greatest ability to decrease apoptosis by stopping the cell cycle in the S phase. Proteins, such as components of milk, can strongly bind/interact with phenolic compounds (especially, the CGAs) contain in coffee, which may explain the negative influence of milk on its antioxidant properties. Coffee polyphenols have also antiproliferative and antiesterase activities, which may be important in prevention of cancer and neurodegenerative disorders, respectively. In this review, biological properties of tea and coffee polyphenols, observed mainly in in vitro studies have been described. Based on these findings, future directions of the research works on these compounds have been suggested.

ORAI1 Limits SARS-CoV-2 Infection by Regulating Tonic Type I IFN Signaling

ORAI1 and stromal interaction molecule 1 (STIM1) are the critical mediators of store-operated Ca²⁺ entry by acting as the pore subunit and an endoplasmic reticulum-resident signaling molecule, respectively. In addition to Ca²⁺ signaling, STIM1 is also involved in regulation of the type I IFN (IFN-I) response. To examine their potential role in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, we generated ORAI1 and STIM1 knockout human HEK293-angiotensin-converting enzyme 2 cells and checked their responses. STIM1 knockout cells showed strong resistance to SARS-CoV-2 infection as a result of enhanced IFN-I response. On the contrary, ORAI1 deletion induced high susceptibility to SARS-CoV-2 infection. Mechanistically, ORAI1 knockout cells showed reduced homeostatic cytoplasmic Ca²⁺ concentration and severe impairment in tonic IFN-I signaling. Transcriptome analysis showed downregulation of multiple antiviral signaling pathways in ORAI1 knockout cells, likely because of reduced expression of the Ca²⁺-dependent transcription factors of the AP-1 family and MEF2C Accordingly, modulation of homeostatic Ca²⁺ concentration by pretreatment with ORAI1 blocker or agonist could influence baseline IFNB expression and resistance to SARS-CoV-2 infection in a human lung epithelial cell line. Our results identify a novel role of ORAI1-mediated Ca²⁺ signaling in regulating the tonic IFN-I levels, which determine host resistance to SARS-CoV-2 infection.

Tea and coffee polyphenols and their biological properties based on the latest in vitro investigations

Tea and coffee contain numerous polyphenolic compounds that exhibit health-promoting properties for humans, including antioxidant and neuroprotective properties, and can also take part in the treatment of covid-19 and improve fertility. This review, presents the activity of polyphenols found in different types of tea and coffee and describes the effects of tea fermentation and coffee roasting on their polyphenol composition and antioxidant properties. Polyphenol oxidase activity is reduced in the fermentation process; therefore black tea contains significantly less polyphenolic compounds compared to green and white tea. Epigallocatechin-3-gallate - a polyphenol from tea - effectively has been shown to inhibit the activity of SARS-CoV-2 as it blocked binding of coronavirus 2 to human angiotensin converting enzyme 2, decreased the expression of inflammatory factors in the blood, including tumor necrosis factor-α and interleukin-6, and significantly increased the overall fertilization efficiency in animals. Coffee roasting process influences both the content of polyphenols and the oxidative activity. The lowest levels of active compounds such as caffeine, chlorogenic acid and coffee acids are identified in roasted coffee beans. On the other hand, light coffee and green coffee show the strongest cytotoxic potential and antioxidant properties, and thus the greatest ability to decrease apoptosis by stopping the cell cycle in the S phase. Proteins, such as components of milk, can strongly bind/interact with phenolic compounds (especially, the CGAs) contain in coffee, which may explain the negative influence of milk on its antioxidant properties. Coffee polyphenols have also antiproliferative and antiesterase activities, which may be important in prevention of cancer and neurodegenerative disorders, respectively. In this review, biological properties of tea and coffee polyphenols, observed mainly in in vitro studies have been described. Based on these findings, future directions of the research works on these compounds have been suggested.