In 2019, a worldwide pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged. SARS-CoV-2 is the deadly microorganism responsible for coronavirus disease 2019 (COVID-19), which has caused millions of deaths and irreversible health problems worldwide. To restrict the spread of SARS-CoV-2, accurate detection of COVID-19 is essential for the identification and control of infected cases. Although recent detection technologies such as the real-time polymerase chain reaction delivers an accurate diagnosis of SARS-CoV-2, they require a long processing duration, expensive equipment, and highly skilled personnel. Therefore, a rapid diagnosis with accurate results is indispensable to offer effective disease suppression. Nanotechnology is the backbone of current science and technology developments including nanoparticles (NPs) that can biomimic the corona and develop deep interaction with its proteins because of their identical structures on the nanoscale. Various NPs have been extensively applied in numerous medical applications, including implants, biosensors, drug delivery, and bioimaging. Among them, point-of-care biosensors mediated with gold nanoparticles (GNPSs) have received great attention due to their accurate sensing characteristics, which are widely used in the detection of amino acids, enzymes, DNA, and RNA in samples. GNPS have reconstructed the biomedical application of biosensors because of its outstanding physicochemical characteristics. This review provides an overview of emerging trends in GNP-mediated point-of-care biosensor strategies for diagnosing various mutated forms of human coronaviruses that incorporate different transducers and biomarkers. The review also specifically highlights trends in gold nanobiosensors for coronavirus detection, ranging from the initial COVID-19 outbreak to its subsequent evolution into a pandemic.

The outbreak and continued spread of coronavirus disease 2019 (COVID-19) have significantly threatened public health. Antibody testing is essential for infection diagnosis, seroepidemiological analysis, and vaccine evaluation. However, achieving convenient, fast, and accurate detection remains challenging in this prolonged battle. This study reports a highly sensitive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike protein detection platform based on organic electrochemical transistors (OECTs) for biosensing applications. We developed a nanostructured poly(3,4-ethylenedioxythiophene) (PEDOT) conductive polymer with the carboxylic acid functional group (PEDOTAc) for modifying specific antibodies on an OECT channel for the detection of the COVID-19 spike protein. The OECT device features a channel composed of a PEDOT:polystyrenesulfonate (PEDOT:PSS) bottom layer, with the upper layer decorated with PEDOTAc nanorod arrays via the oxidative polymerization and a trans-printing method. Our novel PEDOTAc nanorod array-based OECT device exhibits promising potential for future healthcare and point-of-care sensing due to its rapid response, high sensitivity, and high accuracy. Through optimization, we achieved specific detection of the SARS-CoV-2 spike protein within minutes, with a detectable region from 10 fM to 100 nM. These biosensors hold significant promise for use in the diagnosis and prognosis of COVID-19.

Several studies suggest that the heterogeneous spread of SARS-CoV-2 pandemics started on December 2019 could be partially upheld by the prevalence of permissive class I HLA alleles in specific populations. Such HLA alleles are in fact unable to shape an efficient anti-viral immune-response in the hosts or sustain an exaggerated inflammatory T cell mediated response responsible for the COVID-19 disease. We previously reported an ecologic correlation between the risk of COVID-19 spreading across Italy and the germinal expression of permissive HLA-C*01 and -B*44 alleles in specific inter and intraregional populations along the first spreading wave.

Considering that SARS-CoV-2 has undergone multiple adaptative mutations since the beginning of pandemics related to a natural immunization and to the worldwide campaign of anti-SARS-CoV-2 vaccination, we have carried out further analyses to evaluate whether the predictive value of class I HLA-allele gene prevalence and COVID-19 incidence has changed with time along the first four pandemics spreading waves in Italy. To this purpose we carried out an ecologic study followed by a case-control study.

| Our data revealed that the direct correlation of HLA-C*01, and HLA-B*44 gene expression and COVID-19 risk was completely lost just after the first pandemics wave in Italy. On the contrary, the expression of HLA-B*49 allele in specific populations emerged as inversely correlated to the risk of COVID-19 and could be considered as a protective factor. The statistical significance of this correlation was progressively enforced in each subsequent spreading wave until February 2022. The following case-control study in the two Regions of Campania and Calabria in Italy confirmed the protective value of HLA-B*49 allele gene expression (OR = 0.289; p = 0.041), although statistical significance is lost after adjustment by logistic regression model. The analysis also detected multiple class I HLA-alleles whose expression was strongly correlated with COVID-19 risk: HLA-B*08 (ORadj = 3.193; p = 0.015); -B*14:01 (ORadj = 3.596; p = 0.018); -B*15:01 (ORadj = 5.124; p = 0.001); -B*35 (ORadj = 2.972; p = 0.002).

Our study not only identifies specific HLA alleles related to COVID-19 risk but also exemplifies a rapid and inexpensive approach that can be used to identify individuals needing prioritization during vaccination campaigns.

The global expand of SARS-CoV-2 has highlighted the importance of early and rapid detection to control the spread of a pandemic. In this study, specific and high-affinity monoclonal antibodies (mAbs) were developed against the conserved nucleocapsid protein of the virus among variants. Appropriate antibody pairs were selected to develop a lateral flow immunoassay (LFIA) and an unconventional application of an amperometric biosensor using unmodified screen-printed electrodes and external magnetic bead preparation. In the study, the LFIA we developed detected the SARS-CoV-2 virus at 104 PFU/mL, while the amperometric biosensor enabled sensitive detection of inactivated SARS-CoV-2 with an LOD of 5.5 PFU/mL. After validating the developed systems, it is considered that the mAbs we have obtained will enable the sensitive and selective detection of SARS-CoV-2 in LFIA and amperometric immunosensor platforms for clinical diagnosis.

To provide cutting-edge information on the impact and risks of using Electronic Nicotine Delivery Systems (ENDS) by children and adolescents, based on the latest evidence published in the literature.

A comprehensive search was carried out on PubMed, using the expressions ''electronic cigarettes'' OR ''electronic nicotine delivery systems" OR "vaping" AND ''adolescent'' AND "risks" AND ''acute lung injury'. All retrieved articles had their titles and abstracts read to identify and fully read the papers reporting the most recent evidence on each subject.

The use of ENDS has alarmingly increased in Brazil and around the world. The possibility of customizing use, the choice of flavors and nicotine content, and the general notion that these devices are harmless when compared to conventional cigarettes are some of the factors responsible for this increase. Numerous scientific studies have proven that electronic cigarettes have serious consequences for the respiratory system, such as EVALI (E-cigarette or Vaping-Associated Lung Injury) and difficult-to-control asthma, as well as harmful effects on the neurological, cardiovascular, gastrointestinal, and immunological systems. High concentrations of nicotine make many young people addicted to this substance. In Brazil, commercialization, import, and advertising are prohibited. The viable interventions to address the use of these devices in children and adolescents are prevention and behavioral counseling.

There is clear scientific evidence that these devices pose a risk to the physical and mental health of children and adolescents.

Obesity is a risk factor for COVID-19 mortality; a BMI >35 increases the risk of death up to 12-fold; two previous studies have examined the association between visceral fat quantified by tomography and the risk of severe COVID-19, but not its association with mortality.

Examine whether tomographic findings differentiated data from patients who died of COVID-19 pneumonia from those who survived in a cohort of patients at a tertiary hospital.

This was a case-control study (1:1) in which we recruited data from patients at a tertiary care hospital in Mexico. Cases (N = 213) were data from patients with COVID-19 pneumonia discharged due to death, and controls (N = 216) were data from patients discharged due to improvement. All had chest computed tomography (CT) scans in the Picture Archiving and Communication System (PACS) platform. Multivariate analysis was used to identify tomographic variables associated with mortality, and odds ratios were calculated. As tomographic variables, we refer to the total severity score, the total percentage of pulmonary involvement, the pattern of involvement, the location of the lesions, and subcutaneous and visceral fat.

A total of 429 sets of data from Mexican patients were analyzed, with an overall age of 57 years (18-93). Sixty-three percent were male, and arterial hypertension was the most common comorbidity in 48.3 %. An odds ratio (OR) of 8.79 (95 % CI 1.44-53.73) was found for visceral fat and mortality; the rest of the tomographic variables did not show a statistically significant association.

Visceral fat was the most significant tomographic risk factor for mortality in patients with COVID-19 pneumonia.

This study aimed to explore the modification of screen-printed carbon electrode (SPCE) to produce an extensive conductive surface with gold nanoparticles (AuNPs) for the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ribonucleic acid (RNA).

The experiment was carried out using drop casting (DC) and spray coating (SC) methods. Au-S covalent interactions were formed between thiolated single-stranded DNA (ssDNA) and Au surface, which further hybridized with the target RNA to be detected using differential pulse voltammetry (DPV). Optimization of experimental conditions was performed using Box-Behnken design (BBD) on probe ssDNA concentration, probe ssDNA immobilization time, and target hybridization time. The morphology of the modified electrode was characterized using a scanning electron microscope, while the electrochemical behaviour was determined with DPV and electron impedance spectroscopy.

The results showed that SPCE modification with AuNPs by DC produced a higher peak current height of 12.267 μA with an R ct value of 2.534 kΩ, while SC improved the distribution of AuNPs in the electrode surface. The optimum experimental conditions obtained using BBD were 0.5 μg mL-1 ssDNA-probe concentration, an immobilization time of 22 minutes, and a hybridization time of 12 minutes. The limit of SARS-CoV-2 RNA detection at a concentration range of 0.5 to 10 μg mL-1 was 0.1664 and 0.694 μg mL-1 for DC and SC, respectively. The T-test results for both methods show that the current response of target RNA with SPCE/AuNP by DC does not show the same result, indicating a significant difference in the current response between those two methods.

SPCE/AuNP by DC is better than SPCE/AuNP by SC for immobilizing inosine-substituted ssDNA, which subsequently hybridizes with viral RNA, enabling label-free detection of guanine from SARS-CoV-2 RNA.

Infectious diseases, especially respiratory infections, have been significant threats to human health. Therefore, it is essential to develop rapid, portable, and highly sensitive diagnostic methods for their control. Herein, a short-time preamplified, one-pot clustered regularly interspaced short palindromic repeats (CRISPR) nucleic acid detection method (SPOC) is developed by combining the rapid recombinase polymerase amplification (RPA) with CRISPR-Cas12a to reduce the mutual interference and achieve facile and rapid molecular diagnosis. SPOC can reduce the detection time and stably detect up to 1 copy/μL of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA without affecting the detection sensitivity. A highly sensitive one-pot assay integrated with reverse transcription RPA is achieved by wrapping paraffin with a specific melting point on the lyophilized CRISPR reagent surface. A self-heating pack is designed based on thermodynamic principles to melt the paraffin and release CRISPR reagents, enabling low-cost and time-saving detection. Notably, the designed system, coupled with RNA extraction-free technology, can achieve "sample-in-answer-out" detection of the SARS-CoV-2 Orf1ab gene within 22 min using smartphone imaging. The developed assay is validated on 12 clinical samples, and the results 100% correlate with real-time polymerase chain reaction. SPOC is time-saving, is easy to operate, and can eliminate centrifugal and complex hardware devices, satisfying the demand for point-of-care diagnostics in resource-constrained settings.

The molecular mechanisms regulating coronavirus pathogenesis are complex, including virus-host interactions associated with replication and innate immune control. However, some genetic and epigenetic conditions associated with comorbidities increase the risk of hospitalization and can prove fatal in infected patients. This systematic review will provide insight into host genetic and epigenetic factors that interfere with COVID-19 expression in light of available evidence.

This study conducted a systematic review to examine the genetic and epigenetic susceptibility to COVID-19 using a comprehensive approach. Through systematic searches and applying relevant keywords across prominent online databases, including Scopus, PubMed, Web of Science, and Science Direct, we compiled all pertinent papers and reports published in English between December 2019 and June 2023.

The findings reveal that the host's HLA genotype plays a substantial role in determining how viral protein antigens are showcased and the subsequent immune system reaction to these antigens. Within females, genes responsible for immune system regulation are found on the X chromosome, resulting in reduced viral load and inflammation levels when contrasted with males. Possessing blood group A may contribute to an increased susceptibility to contracting COVID-19 as well as a heightened risk of mortality associated with the disease. The capacity of SARS-CoV-2 involves inhibiting the antiviral interferon (IFN) reactions, resulting in uncontrolled viral multiplication.

There is a notable absence of research into the gender-related predisposition to infection, necessitating a thorough examination. According to the available literature, a significant portion of individuals affected by the ailment or displaying severe ramifications already had suppressed immune systems, categorizing them as a group with elevated risk.

Toll-like receptors (TLRs) of human are considered as the most critical immunological mediators of inflammatory pathogenesis of COVID-19. These immunoregulatory glycoproteins are located on the surface and/or intracellular compartment act as innate immune sensors. Upon binding with distinct SARS-CoV-2 ligand(s), TLRs signal activation of different transcription factors that induce expression of the proinflammatory mediators that collectively induce 'cytokine storm'. Similarly, TLR activation is also pivotal in conferring protection to infection and invasion as well as upregulating the tissue repair pathways. This dual role of the human TLRs in deciding the fate of SARS-CoV-2 has made these receptor proteins as the critical mediators of immunoprotective and immunopathogenic consequences associated with COVID-19. Herein, pathbreaking discoveries exploring the immunobiological importance of the TLRs in COVID-19 and developing TLR-directed therapeutic intervention have been reviewed by accessing the up-to-date literatures available in the public domain/databases. In accordance with our knowledge in association with the importance of TLRs' role against viruses and identification of viral particles, they have been recognized as suitable candidates with high potential as vaccine adjuvants. In this regard, the agonists of TLR4 and TLR9 have effective potential in vaccine technology while the others need further investigations. This comprehensive review suggests that basal level expression of TLRs can act as friends to keep our body safe from strangers but act as a foe via overexpression. Therefore, selective inhibition of the overexpressed TLRs appears to be a solution to counteract the cytokine storm while TLR-agonists as vaccine adjuvants could lessen the risk of infection in the naïve population.

Herein, we have selected eight Zn(II)-based complexes viz., [Zn(bpy)(acac)Cl] (1), [Zn(phen)(acac)Cl] (2), [Zn(dppz)(acac)Cl] (3), [Zn(dppn)(acac)Cl] (4), [Zn(bpy)(cur)Cl] (5), [Zn(phen)(cur)Cl] (6), [Zn(dppz)(cur)Cl] (7), [Zn(dppn)(cur)Cl] (8), where bpy=2,2'-bipyridine, phen=1,10-phenanthroline, dppz=benzo[i]dipyrido[3,2-a:2',3'-c]phenazine, dppn=naphtho[2,3-i]dipyrido[3,2-a:2',3'-c]phenazine, acac=acetylacetonate, cur=curcumin and performed in silico molecular docking studies with the viral proteins, i. e., spike protein (S), Angiotensin-converting enzyme II Receptor protein (ACE2), nucleocapsid protein (N), main protease protein (Mpro), and RNA-dependent RNA polymerase protein (RdRp) of SARS-CoV-2. The binding energy calculations, visualization of the docking orientation, and analysis of the interactions revealed that these complexes could be potential inhibitors of the viral proteins. Among complexes 1-8, complex 6 showed the strongest binding affinity with S and ACE2 proteins. 4 exerted better binding affinity in the case of the N protein, whereas 8 presented the highest binding affinities with Mpro and RdRp among all the complexes. Overall, the study indicated that Zn(II) complexes have the potential as alternative and viable therapeutic solutions for COVID-19.

The coronavirus disease of 2019 (COVID-19), caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), can alter the expression levels of host microRNAs (miRNAs). Increasing evidence suggests that circulating miRNAs can potentially play an important role in the diagnosis and prognosis of respiratory infectious diseases, especially COVID-19, and might serve as sensitive indicators of disease before the emergence of clinical symptoms. Here, we review the potential of circulatory microRNAs as novel biomarkers for different aspects of COVID-19. Recent studies have suggested that they can be useful not only for COVID-19 prognosis but also for prediction of disease severity and mortality among intensive care unit (ICU) and ward patients. Moreover, extracellular vesicle (EV) miRNAs can be associated with antibody titer after COVID-19 vaccination. This review provides an overview of miRNA-based biomarkers.

Critically ill COVID-19 patients may exhibit various clinical symptoms of renal dysfunction including severe Acute Kidney Injury (AKI). Currently, there is a lack of bibliometric analyses on COVID-19-related AKI. The aim of this study is to provide an overview of the current research status and hot topics regarding COVID-19 AKI. The literature was retrieved from the Web of Science Core Collection (WoSCC) database. Subsequently, we utilized Microsoft Excel, VOSviewer, Citespace, and Pajek software to revealed the current research status, emerging topics, and developmental trends pertaining to COVID-19 AKI. This study encompassed a total of 1507 studies on COVID-19 AKI. The United States, China, and Italy emerged as the leading three countries in terms of publication numbers, contributing 498 (33.05%), 229 (15.20%), and 140 (9.29%) studies, respectively. The three most active and influential institutions include Huazhong University of Science and Technology, Wuhan University and Harvard Medical School. Ronco C from Italy, holds the record for the highest number of publications, with a total of 15 papers authored. Cheng YC's work from China has garnered the highest number of citations, totaling 470 citations. The co-occurrence analysis of author keywords reveals that 'mortality', 'intensive care units', 'chronic kidney disease', 'nephrology', 'renal transplantation', 'acute respiratory distress syndrome', and 'risk factors' emerge as the primary areas of focus within the realm of COVID-19 AKI. In summary, this study analyzes the research trends in the field of COVID-19 AKI, providing a reference for further exploration and research on COVID-19 AKI mechanisms and treatment.

The potential of biomaterials in medical sciences has attracted much interest, especially in promoting tissue regeneration and controlling immune responses. As the COVID-19 pandemic broke out, there was an increased interest in understanding more about how biomaterials could be employed to fight this dreaded disease, especially in the context of regenerative medicine. Out of the numerous regenerative medicine possibilities, stem cells and scaffolding (grafting) technology are two major areas in modern medicine and surgery. Mesenchymal stem cells are useful in tissue repair, tailored therapy and the treatment of COVID-19. Using biomaterials in COVID-19 treatment is intricate and needs multidisciplinary and cross-disciplinary research. Cell-based therapy and organ transplants pose immunological rejection challenges. Immunomodulation enhanced, tumorigenicity decreased, inflammation addressed and tissue damage restricted; bioengineered stem cells need clinical insights and validation. Advanced stem cell-based therapies should ideally be effective, safe and scalable. Cost and scalability shall dictate the dawn of techno-economically feasible regenerative medicine. A globally standard and uniform approval process could accelerate translational regenerative medicine. Researchers, patient advocacy organisations, regulators and biopharmaceutical stakeholders need to join hands for easy navigation of regulatory measures and expeditious market entry of regenerative medicine. This article summarises advances in biomaterials for regenerative medicine and their possible therapeutic benefits in managing infectious diseases like COVID-19. It highlights the significant recent developments in biomaterial design, scaffold construction, and stem cell-based therapies to treat tissue damage and COVID-19-linked immunological dysregulation. It also highlights the potential contribution of biomaterials towards creating novel treatment strategies to manage COVID-19.

The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led the medical and scientific community to explore the pathogenesis and clinical manifestations of coronaviruses. In felines, a widespread coronavirus known as feline coronavirus (FCoV) can lead to feline infectious peritonitis (FIP), a highly fatal disease characterised by severe systemic inflammation. Diagnosing FCoV remains challenging due to the limited accuracy of the available methods. The present study introduces the FIP Effusion Index, a novel diagnostic method that combines the albumin-to-globulin (ALB/GLOB) ratio with the delta total nucleated cell (∆TNC) count obtained via flow cytometry using the Sysmex XN-1000V® analyser in effusions. Samples from cats (n = 50) with suspected FIP were analysed for ∆TNC, with findings showing that a ∆TNC ≥ 2.1 is highly indicative of FIP and a ∆TNC ≥ 4.9 can be considered diagnostic. The FIP Effusion Index enhanced diagnostic precision in our group of samples, achieving 96.3% sensitivity and 95.7% specificity for values ≥ 5.06, and reaching perfect specificity (100%) with 96.3% sensitivity for values ≥ 7.54. This combined approach surpasses the accuracy of individual parameters, establishing the FIP Effusion Index as a superior diagnostic tool for FIP, with potential applications in both veterinary and human medicine for related coronavirus diseases.

In this mini review, we explore the complex network of inflammatory reactions incited by SARS-CoV-2 infection, which extends its reach well beyond the respiratory domain to influence various organ systems. Synthesizing existing literature, it elucidates how the hyperinflammation observed in COVID-19 patients affects multiple organ systems leading to physiological impairments that can persist over long after the resolution of infection. By exploring the systemic manifestations of this inflammatory cascade, from acute respiratory distress syndrome (ARDS) to renal impairment and neurological sequelae, the review highlights the profound interplay between inflammation and organ dysfunction. By synthesizing recent research and clinical observations, this mini review aims to provide an overview of the systemic interactions and complications associated with COVID-19, underscoring the need for an integrated approach to treatment and management. Understanding these systemic effects is crucial for improving patient outcomes and preparing for future public health challenges.

Angiotensin-converting enzyme 2 receptors (ACE2R) are requisite to enter the host cells for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). ACE2R is constitutive and functions as a type I transmembrane metallo-carboxypeptidase in the renin-angiotensin system (RAS). On thyroid follicular cells, ACE2R allows SARS-CoV-2 to invade the thyroid gland, impose cytopathic effects and produce endocrine abnormalities, including stiff back, neck pain, muscle ache, lethargy, and enlarged, inflamed thyroid gland in COVID-19 patients. Further damage is perpetuated by the sudden bursts of pro-inflammatory cytokines, which is suggestive of a life-threatening syndrome known as a "cytokine storm". IL-1β, IL-6, IFN-γ, and TNF-α are identified as the key orchestrators of the cytokine storm. These inflammatory mediators upregulate transcriptional turnover of nuclear factor-kappa B (NF-κB), Janus kinase/signal transducer and activator of transcription (JAK/STAT), and mitogen-activated protein kinase (MAPK), paving the pathway for cytokine storm-induced thyroid dysfunctions including euthyroid sick syndrome, autoimmune thyroid diseases, and thyrotoxicosis in COVID-19 patients. Targeted therapies with corticosteroids (dexamethasone), JAK inhibitor (baricitinib), nucleotide analogue (remdesivir) and N-acetyl-cysteine have demonstrated effectiveness in terms of attenuating the severity and frequency of cytokine storm-induced thyroid dysfunctions, morbidity and mortality in severe COVID-19 patients. Here, we review the pathogenesis of cytokine storms and the mechanisms and pathways that establish the connection between thyroid disorder and COVID-19. Moreover, cross-talk interactions of signalling pathways and therapeutic strategies to address COVID-19-associated thyroid diseases are also discussed herein.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-caused COVID-19 pandemic that continues to be a global menace and since its emergence in the late 2019, SARS-CoV-2 has been vigorously spreading throughout the globe putting the whole world into a multidimensional calamity. The suitable diagnosis strategies are on the front line of the battle against preventing the spread of infections. Since the clinical manifestation of COVID-19 is shared between various diseases, detection of the unique impacts of the pathogen on the host along with the diagnosis of the virus itself should be addressed. Employing the most suitable approaches to specifically, sensitively and effectively recognize the infected cases may be a real game changer in controlling the outbreak and the crisis management. In that matter, point-of-care assays (POC) appears to be the potential option, due to sensitivity, specificity, affordable, and availability. Here we brief the most recent findings about the virus, its variants, and the conventional methods that have been used for its detection, along with the POC strategies that have been applied to the virus diagnosis and the developing technologies which can accelerate the diagnosis procedure yet maintain its efficiency.

Several medications have been proposed to manage COVID-19, with controversial data regarding their clinical benefits. We aimed to investigate the clinical efficacy of using remdesivir (RDV) with and without tocilizumab (TCZ) and standard therapy in treating severe COVID-19.

This retrospective cohort study was conducted in a Jordanian tertiary hospital (September 26th, 2020 - August 28th, 2021) and included adult COVID-19 patients requiring oxygen support. Patients were categorized into three groups based on treatment: TCZ+RDV and standard therapy; RDV and standard therapy; and standard therapy alone, which included dexamethasone, vitamins, anticoagulants, and ceftriaxone.

Of 1,556 screened, 1,244 patients (mean age 62.33, 60.8% men) were included. Distribution was 106 in TCZ+RDV, 520 in RDV, and 618 in standard therapy. No significant differences were observed in age, gender, or BMI. Mortality was lowest in TCZ+RDV (32.1%), followed by RDV (40.6%) and standard therapy (47.1%) (p=0.005). Among ICU patients, TCZ+RDV showed significantly lower mortality (51.1%) compared to RDV (75%) and standard therapy (85.8%) (p<0.001). The ICU stays and invasive mandatory ventilation (IMV) durations were significantly shorter with TCZ+RDV (4.30 and 2.69 days, respectively) compared to RDV (7.61 and 4.52 days) and standard therapy (7.98 and 5.32 days) (p<0.001 for ICU stays, p=0.025 for IMV durations).

Combining TCZ, RDV, and dexamethasone shows promise in reducing mortality and ICU/IMV duration for severe COVID-19.

COVID-19 (Coronavirus disease 2019) is caused by SARS-CoV-2 (severe acute respiratory syndrome coronavirus-2), which can lead to pneumonia, cytokine storms, and lymphopenia. Patients with cancer are more susceptible to SARS-CoV-2 infection and severe COVID-19 due to immunosuppression. Recent studies have indicated that NRP1 (Neuropilin 1) may act as a novel mediator of SARS-CoV-2 entry into the host cell. As no systematic review has been performed investigating the characteristics of NRP1 in pan-carcinoma, we comprehensively analyzed NRP1 in patients with pan-cancer. Using a bioinformatics approach, we aimed to systematically examine NRP1 expression profiles in both pan-carcinoma and healthy tissues. We found that lung and genitourinary cancers have a relatively higher NRP-1 expression than other cancer patients, suggesting that these patients may be more susceptible to SARS-CoV-2. Our analysis further revealed that NRP1 expression was downregulated in Vero E6 cells, whole blood, lung organoids, testis tissue, and alveolospheres infected with SARS-CoV-2. Notably, NRP1 was associated with immune cell infiltration, immune checkpoint genes, and immune-related genes in most patients with cancer. These findings suggest that, in patients with specific types of cancer, especially lung and genitourinary, high expression of NRP1 contributes to greater susceptibility to SARS-CoV-2 infection and an increased risk of damage due to cytokine storms. Overall, NRP1 appears to play a critical role in regulating immunological properties and metabolism in many tumor types. Specific inhibitors of the NRP1 antigen (pegaptanib, EG00229, or MNRP1685A) combined with other anti-SARS-CoV-2 strategies may aid in treating patients with lung and genitourinary cancers following SARS-CoV-2 infection.

COVID-19 disease is characterized by a spectrum of disease phases (mild, moderate, and severe). Each disease phase is marked by changes in omics profiles with corresponding changes in the expression of features (biosignatures). However, integrative analysis of multiple omics data from different experiments across studies to investigate biosignatures at various disease phases is limited. Exploring an integrative multi-omics profile analysis through a network approach could be used to determine biosignatures associated with specific disease phases and enable the examination of the relationships between the biosignatures.

To identify and characterize biosignatures underlying various COVID-19 disease phases in an integrative multi-omics data analysis.

We leveraged a multi-omics network-based approach to integrate transcriptomics, metabolomics, proteomics, and lipidomics data. The World Health Organization Ordinal Scale WHO Ordinal Scale was used as a disease severity reference to harmonize COVID-19 patient metadata across two studies with independent data. A unified COVID-19 knowledge graph was constructed by assembling a disease-specific interactome from the literature and databases. Disease-state specific omics-graphs were constructed by integrating multi-omics data with the unified COVID-19 knowledge graph. We expanded on the network layers of multiXrank, a random walk with restart on multilayer network algorithm, to explore disease state omics-specific graphs and perform enrichment analysis.

Network analysis revealed the biosignatures involved in inducing chemokines and inflammatory responses as hubs in the severe and moderate disease phases. We observed distinct biosignatures between severe and moderate disease phases as compared to mild-moderate and mild-severe disease phases. Mild COVID-19 cases were characterized by a unique biosignature comprising C-C Motif Chemokine Ligand 4 (CCL4), and Interferon Regulatory Factor 1 (IRF1). Hepatocyte Growth Factor (HGF), Matrix Metallopeptidase 12 (MMP12), Interleukin 10 (IL10), Nuclear Factor Kappa B Subunit 1 (NFKB1), and suberoylcarnitine form hubs in the omics network that characterizes the moderate disease state. The severe cases were marked by biosignatures such as Signal Transducer and Activator of Transcription 1 (STAT1), Superoxide Dismutase 2 (SOD2), HGF, taurine, lysophosphatidylcholine, diacylglycerol, triglycerides, and sphingomyelin that characterize the disease state.

This study identified both biosignatures of different omics types enriched in disease-related pathways and their associated interactions (such as protein-protein, protein-transcript, protein-metabolite, transcript-metabolite, and lipid-lipid interactions) that are unique to mild, moderate, and severe COVID-19 disease states. These biosignatures include molecular features that underlie the observed clinical heterogeneity of COVID-19 and emphasize the need for disease-phase-specific treatment strategies. The approach implemented here can be used to find associations between transcripts, proteins, lipids, and metabolites in other diseases.

Background: Vitamin C has been used as an antioxidant and has been proven effective in boosting immunity in different diseases, including coronavirus disease (COVID-19). An increasing awareness was directed to the role of intravenous vitamin C in COVID-19. Methods: In this study, we aimed to assess the safety of high-dose intravenous vitamin C added to the conventional regimens for patients with different stages of COVID-19. An open-label clinical trial was conducted on patients with COVID-19. One hundred four patients underwent high-dose intravenous administration of vitamin C (in addition to conventional therapy), precisely 10 g in 250 cc of saline solution in slow infusion (60 drops/min) for three consecutive days. At the same time, 42 patients took the standard-of-care therapy. Results: This study showed the safety of high-dose intravenous administration of vitamin C. No adverse reactions were found. When we evaluated the renal function indices and estimated the glomerular filtration rate (eGRF, calculated with the CKD-EPI Creatinine Equation) as the main side effect and contraindication related to chronic renal failure, no statistically significant differences between the two groups were found. High-dose vitamin C treatment was not associated with a statistically significant reduction in mortality and admission to the intensive care unit, even if the result was bound to the statistical significance. On the contrary, age was independently associated with admission to the intensive care unit and in-hospital mortality as well as noninvasive ventilation (N.I.V.) and continuous positive airway pressure (CPAP) (OR 2.17, 95% CI 1.41-3.35; OR 7.50, 95% CI 1.97-28.54; OR 8.84, 95% CI 2.62-29.88, respectively). When considering the length of hospital stay, treatment with high-dose vitamin C predicts shorter hospitalization (OR -4.95 CI -0.21--9.69). Conclusions: Our findings showed that an intravenous high dose of vitamin C is configured as a safe and promising therapy for patients with moderate to severe COVID-19.

Asymptomatic and underreported individuals remain a source of coronafig disease 2019 (COVID-19) transmission to others. Data on the prevalence and epidemiological factors influencing transmission are fundamental for establishing control measures, especially in vulnerable regions such as the Amazon. This study aimed to determine the point prevalence and active infection of COVID-19 among the population in Araguaína, a Brazilian city located in the Amazon region, analyzed the socioeconomic and behavioral variables of a statistically representative sample of this population using an epidemiological survey, and identify the viral genomic diversity in the region. During the sixth epidemiological week of 2021 (February 8 to 12), samples of 497 inhabitants of the municipality asymptomatic for respiratory syndromes underwent reverse transcription-quantitative polymerase chain reaction and serological tests (immunoglobulin M and immunoglobulin G). A questionnaire collated data on socioeconomic factors, prevention measures, and health status history. The active infection rate was 6.2%, and the prevalence was 13.5% of the study population. Active infection cases were under-reported; each reported positive case represented 14-28 under-reported cases. Lineages P.2, P.1, and B.1.1 were detected. Working from home was a protective factor against the infection, and clinical signs of fever, dry cough, and loss of taste or smell were associated with testing positive (p <0.05). A descriptive analysis of the indicators revealed that the entire population was susceptible to the disease. Intensified vaccination strategies are required regardless of socioeconomic factors, health conditions, and preventive measures. Implementation of objective, comprehensive, and efficient management tools to minimize the spread of COVID-19 in this municipality can serve as a model for other regions of Brazil.

Emerging publications indicate that diabetes predisposes patients with COVID-19 to more severe complications, which is partly attributed to inflammatory condition. In the current review, we reviewed recent published literature to provide evidence on the role of insulin resistance (IR) in diabetes, the association between diabetes and COVID-19 severity and mortality, the impact of COVID-19 infection on incident new-onset diabetes, mechanisms responsible for IR in COVID-19 patients, and the predictive value of different surrogates of IR in COVID-19.

The literature search performs to find out studies that have assessed the association between IR surrogates and morbidity and mortality in patients with COVID-19.

We showed that there is a bulk of evidence in support of the fact that diabetes is a potent risk factor for enhanced morbidity and mortality in COVID-19 patients. COVID-19 patients with diabetes are more prone to remarkable dysglycemia compared to those without diabetes, which is associated with an unfavourable prognosis. Furthermore, SARS-COV2 can make patients predispose to IR and diabetes via activating ISR, affecting RAAS signaling pathway, provoking inflammation, and changing the expression of PPARɣ and SREBP-1. Additionally, higher IR is associated with increased morbidity and mortality in COVID-19 patients and different surrogates of IR can be utilized as a prognostic biomarker for COVID-19 patients.

Different surrogates of IR can be utilized as predictors of COVID-19 complications and death.

The coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), formerly known as 2019-nCoV. Numerous cellular and biochemical issues arise after COVID-19 infection. The severe inflammation that is caused by a number of cytokines appears to be one of the key hallmarks of COVID-19. Additionally, people with severe COVID-19 have coagulopathy and fulminant thrombotic events. We briefly reviewed the COVID-19 disease at the beginning of this paper. The inflammation and coagulation markers and their alterations in COVID-19 illness are briefly discussed in the parts that follow. Next, we talked about NETosis, which is a crucial relationship between coagulation and inflammation. In the end, we mentioned the two-way relationship between inflammation and coagulation, as well as the factors involved in it. We suggest that inflammation and coagulation are integrated systems in COVID-19 that act on each other in such a way that not only inflammation can activate coagulation but also coagulation can activate inflammation.

The pandemic instigated by the SARS-CoV-2 virus has led to over 7 million deaths globally, primarily attributable to viral pneumonia. Identifying fundamental markers associated with an elevated risk of mortality can aid in the early identification of patients prone to disease progression to a severe state, enabling prompt intervention.

This was a single-center, retrospective study.

In this study, we examined 299 patients admitted to the Department of Infectology and Travel Medicine in Košice, Slovakia, with PCR-confirmed COVID-19 pneumonia. Patients were monitored from 1 January 2021 to 31 March 2021, with the endpoint being discharge from the hospital or death. All patient-related data were retrospectively collected from medical records. This study identified several risk factors significantly associated with an increased risk of mortality, including the requirement of HFNO (p < 0.001), age over 60 years (p < 0.001), Ne/Ly values of >6 (p < 0.001), as well as certain lymphocyte subtypes-CD4+ < 0.2 × 109/L (p = 0.035), CD8+ < 0.2 × 109/L (p < 0.001), and CD19+ < 0.1 × 109/L (p < 0.001)-alongside selected biochemical inflammatory markers-IL-6 > 50 ng/L (p < 0.001) and lactate > 3 mmol/L (p < 0.001).

We confirmed that the mentioned risk factors were significantly associated with the death of patients from viral pneumonia in the hospital.

The moisture content of immersion vacuum-cooled sausages with modified casings containing citrus fruit extracts under different storage conditions was studied using hyperspectral imaging (HSI) associated with chemometrics. Different pre-processing combinations were applied to improve the robustness of the model. The partial least squares regression model, employing the full reflectance spectrum with pre-treatment of the standard normal variate, showed calibration coefficients of determination (Rc2) of 0.6160 and a root mean square error of calibration (RMSEC) of 2.8130%. For the first time, prediction maps developed via HSI visualized the distribution of moisture content in the immersion vacuum-cooled sausages with unique modified casings in response to fluctuating storage conditions. The prediction maps showed exact parts with high water content, which will help us to monitor and prevent mold growth. The combination of HSI with multivariate analysis not only quantifies changes in moisture content but also visually represents them in response to various casing treatments under different storage conditions, illustrating the significant potential for real-time inspection and early mold detection in sausages within the processed meat industry.

COVID-19-associated pulmonary fibrosis remains frequent. This study aimed to investigate pulmonary redox balance in COVID-19 ARDS patients and possible relationship with pulmonary fibrosis and long-term lung abnormalities.

Baseline data, chest CT fibrosis scores, N-terminal peptide of alveolar collagen III (NT-PCP-III), transforming growth factor (TGF)-β1, superoxide dismutase (SOD), reduced glutathione (GSH), oxidized glutathione (GSSG) and malondialdehyde (MDA) in bronchoalveolar lavage fluid (BALF) were first collected and compared between SARS-CoV-2 RNA positive patients with moderate to severe ARDS (n = 65, COVID-19 ARDS) and SARS-CoV-2 RNA negative non-ARDS patients requiring mechanical ventilation (n = 63, non-ARDS). Then, correlations between fibroproliferative (NT-PCP-III and TGF-β1) and redox markers were analyzed within COVID-19 ARDS group, and comparisons between survivor and non-survivor subgroups were performed. Finally, follow-up of COVID-19 ARDS survivors was performed to analyze the relationship between pulmonary abnormalities, fibroproliferative and redox markers 3 months after discharge.

Compared with non-ARDS group, COVID-19 ARDS group had significantly elevated chest CT fibrosis scores (p < 0.001) and NT-PCP-III (p < 0.001), TGF-β1 (p < 0.001), GSSG (p < 0.001), and MDA (p < 0.001) concentrations on admission, while decreased SOD (p < 0.001) and GSH (p < 0.001) levels were observed in BALF. Both NT-PCP-III and TGF-β1 in BALF from COVID-19 ARDS group were directly correlated with GSSG (p < 0.001) and MDA (p < 0.001) and were inversely correlated with SOD (p < 0.001) and GSH (p < 0.001). Within COVID-19 ARDS group, non-survivors (n = 28) showed significant pulmonary fibroproliferation (p < 0.001) with more severe redox imbalance (p < 0.001) than survivors (n = 37). Furthermore, according to data from COVID-19 ARDS survivor follow-up (n = 37), radiographic residual pulmonary fibrosis and lung function impairment improved 3 months after discharge compared with discharge (p < 0.001) and were associated with early pulmonary fibroproliferation and redox imbalance (p < 0.01).

Pulmonary redox imbalance occurring early in COVID-19 ARDS patients drives fibroproliferative response and increases the risk of death. Long-term lung abnormalities post-COVID-19 are associated with early pulmonary fibroproliferation and redox imbalance.

In this study COVID-19 effects on different aspects of life that how this virus created a mess in every discipline of life starting from a small tuck shop of a street to a huge business with a chain between different countries; and some preventive measures are also suggested. Not only mental healthiness as well as physical health of people was also disturbed to a large extent. People being quarantined did not do any practice and had nothing to do, their boredom made them mentally and physically inactive. For minimization the effect of this pandemic on mental healthiness, interventions were practiced and psychological support systems were developed to help mentally effected people; on the other hand, to improve physical health the hospital workers worked day and night in return they got affected too either mentally or physically. Many of the youngsters started alcohol consumption during quarantine. Because of the closure of educational institutes, the students were sent back to their homes where there was no proper guidance for them and they lost their interests in studies; and in a sense educational impact of COVID-19 was also unbearable. Agricultural system was affected badly and the whole world passed through a huge economic loss. The flights and traffic were blocked throughout the world, and it is the only positive impact that COVID-19 led to the environment by improving water and air quality as there was a remarkable reduction in the emission of greenhouse gases.

An investigation was conducted using a hyperspectral imaging (HSI) system to non-invasively estimate adenosine triphosphate (ATP) content in vacuum packaged sausages in different modified casing treatments added with orange extracts after a year of storage at 4°C.

Various pre-processing combinations were applied to the spectra to enhance the performance of partial least squares regression (PLSR).

PLSR models, utilising the full absorbance spectrum with pre-treatment of standard normal variate combined with 1st derivative,exhibited prediction coefficients of determination (Rp2) reaching up to 0.6629. A distribution map developed through MATLAB was employed to display the location and concentration of ATP content in these unique sausages for the first time. The integration of HSI and multivariate analysis not only quantifies but also visually represents the changes in ATP content response to the different casing treatments, demonstrating the significant potential for real-time inspection in the processed meat industry.

Respiratory syncytial virus (RSV) infection has been identified to serve as the primary cause of acute lower respiratory infectious diseases in children under the age of one and a significant risk factor for the emergence and development of pediatric recurrent wheezing and asthma, though the exact mechanism is still unknown.

In this study, we discuss the key routes that lead to recurrent wheezing and bronchial asthma following RSV infection. It is interesting to note that following the coronavirus disease 2019 (COVID-19) epidemic, the prevalence of RSV changes significantly. This presents us with a rare opportunity to better understand the associated mechanism for RSV infection, its effects on the respiratory system, and the immunological response to RSV following the COVID-19 epidemic. To better understand the associated mechanisms in the occurrence and progression of pediatric asthma, we thoroughly described how the RSV infection directly destroys the physical barrier of airway epithelial tissue, promotes inflammatory responses, enhances airway hyper-responsiveness, and ultimately causes the airway remodeling. More critically, extensive discussion was also conducted regarding the potential impact of RSV infection on host pulmonary immune response.

In conclusion, this study offers a comprehensive perspective to better understand how the RSV infection interacts in the control of the host's pulmonary immune system, causing recurrent wheezing and the development of asthma, and it sheds fresh light on potential avenues for pharmaceutical therapy in the future.

We provide promising computational (in silico) data on phytochemicals (compounds 1-10) from Arabian Peninsula medicinal plants as strong binders, targeting 3-chymotrypsin-like protease (3CLPro) and papain-like proteases (PLPro) of SARS-CoV-2. Compounds 1-10 followed the Lipinski rules of five (RO5) and ADMET analysis, exhibiting drug-like characters. Non-covalent (reversible) docking of compounds 1-10 demonstrated their binding with the catalytic dyad (CYS145 and HIS41) of 3CLPro and catalytic triad (CYS111, HIS272, and ASP286) of PLPro. Moreover, the implementation of the covalent (irreversible) docking protocol revealed that only compounds 7, 8, and 9 possess covalent warheads, which allowed the formation of the covalent bond with the catalytic dyad (CYS145) in 3CLPro and the catalytic triad (CYS111) in PLPro. Root-mean-square deviation (RMSD), root-mean-square fluctuation (RMSF), and radius of gyration (Rg) analysis from molecular dynamic (MD) simulations revealed that complexation between ligands (compounds 7, 8, and 9) and 3CLPro and PLPro was stable, and there was less deviation of ligands. Overall, the in silico data on the inherent properties of the above phytochemicals unravel the fact that they can act as reversible inhibitors for 3CLPro and PLPro. Moreover, compounds 7, 8, and 9 also showed their novel properties to inhibit dual targets by irreversible inhibition, indicating their effectiveness for possibly developing future drugs against SARS-CoV-2. Nonetheless, to confirm the theoretical findings here, the effectiveness of the above compounds as inhibitors of 3CLPro and PLPro warrants future investigations using suitable in vitro and in vivo tests.

Increasing evidence indicating that coronavirus disease 2019 (COVID-19) increased the incidence and related risks of pericarditis and whether COVID-19 vaccine is related to pericarditis has triggered research and discussion. However, mechanisms behind the link between COVID-19 and pericarditis are still unknown. The objective of this study was to further elucidate the molecular mechanisms of COVID-19 with pericarditis at the gene level using bioinformatics analysis.

Genes associated with COVID-19 and pericarditis were collected from databases using limited screening criteria and intersected to identify the common genes of COVID-19 and pericarditis. Subsequently, gene ontology, pathway enrichment, protein-protein interaction, and immune infiltration analyses were conducted. Finally, TF-gene, gene-miRNA, gene-disease, protein-chemical, and protein-drug interaction networks were constructed based on hub gene identification.

A total of 313 common genes were selected, and enrichment analyses were performed to determine their biological functions and signaling pathways. Eight hub genes (IL-1β, CD8A, IL-10, CD4, IL-6, TLR4, CCL2, and PTPRC) were identified using the protein-protein interaction network, and immune infiltration analysis was then carried out to examine the functional relationship between the eight hub genes and immune cells as well as changes in immune cells in disease. Transcription factors, miRNAs, diseases, chemicals, and drugs with high correlation with hub genes were predicted using bioinformatics analysis.

This study revealed a common gene interaction network between COVID-19 and pericarditis. The screened functional pathways, hub genes, potential compounds, and drugs provided new insights for further research on COVID-19 associated with pericarditis.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the virus responsible for coronavirus disease 2019. It presents one of the most threatening pandemics in the history of humanity. The mortality and morbidity represent an unprecedented challenge to the modern medical era. SARS-CoV-2 results in acute respiratory distress syndrome, high concentrations of proinflammatory mediators, cytokine storm (CS) due to massive release of cytokines, hypercoagulation, and hemoglobin disintegration. Dysregulation of iron homeostasis, iron overload as indicated by high ferritin level, and ferroptosis are major factors in the pathogenesis of the disease. We report a case of SARS-CoV-2 in which the use of epinephrine (Epi) resulted in an unexpected attenuation of CS, decreasing ferritin level and inhibiting ferroptosis.

A 64-year-old male patient with a history of multiple medical comorbidities had been diagnosed with SARS-CoV-2. Further evaluation showed marked increase in inflammatory markers, severe hyperferritinemia, and lymphopenia in laboratory blood tests. The characteristic score of CS was strongly positive, and in addition to regular treatment, the patient received Epi due to development of acute generalized skin rash, severe itching, and edema of lips and tongue. Epi may have successfully terminated not only the acute cutaneous condition, but also have attenuated CS, decreased ferritin level, and other inflammatory markers in addition to complete patient's recovery.

Epinephrine may attenuate CS and inhibit ferroptosis which is an iron-dependent, non-apoptotic mode of cell death. Epi interacts with ferric and/or ferrous iron and built a stable complex that impedes activation of beta-adrenergic receptors. Epi may cause marked decrease of ferritin and other inflammatory markers. Epi may be used to decrease iron overload which is associated with many medical diseases like type 2 diabetes mellitus and cardiometabolic diseases such as coronary heart disease and cerebrovascular disease. As a new clinical indication extensive studies are required for further assessment and possible therapeutic uses.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes a violent attack on the body that leads to multi-organ failure and death in COVID-19 patients. The aim of this study was to systematically review the existing literature on the potential benefits of calcineurin inhibitors (CIs) as anti-vascular endothelial growth factor (VEGF) agents in improving the clinical outcomes of COVID-19 patients.

We searched various databases, including PubMed, Scopus, ISI Web of Science, Google Scholar, Cochrane databases, and ClinicalTrials.gov from 31st December, 2019, to 3rd February, 2023, for relevant controlled trials. The quality of the evidence was assessed using the Cochrane Collaboration tool. Comprehensive Meta-Analysis Software was used for the statistical analyses using a random-effects model.

Three trials enrolling 293 participants were reviewed in the present systematic review and meta-analysis. The results showed CIs to lead to a significant reduction in mortality rate [risk ratio (RR): 0.598, 95% CI: 0.404-0.885, P-value = 0.010] with a low between-study heterogeneity (Cochrane Q test: I2 = 0.000%, P-value = 0.371). Pooled analysis of two studies (84 patients) illustrated that CIs could not significantly increase the rate of hospital discharge (RR: 1.161, 95% CI: 0.764-1.764, P-value = 0.485) and heterogeneity was not significant (Cochrane Q test: I2 = 26.798%, P-value = 0.242).

CIs are able to inhibit the virus nucleocapsid protein so that they can prevent replication and respiratory tract tissue damage caused by SARS-CoV-2. Based on the characteristics mentioned in detail, CIs can play a potential therapeutic role for COVID-19 patients.

This scoping review aims to describe published work on the symptoms and management of long COVID conditions.

Symptoms and management of COVID-19 have focused on the acute stage. However, long-term consequences have also been observed.

A scoping review was performed based on the framework suggested by Arksey and O'Malley. We conducted a literature search to retrieve articles published from May 2020 to March 2021 in CINHAL, Cochrane library, Embase, PubMed and Web of science, including backward and forward citation tracking from the included articles. Among the 1880 articles retrieved, 34 articles met our criteria for review: 21 were related to symptom presentation and 13 to the management of long COVID.

Long COVID symptoms were described in 21 articles. Following COVID-19 treatment, hospitalised patients most frequently reported dyspnoea, followed by anosmia/ageusia, fatigue and cough, while non-hospitalised patients commonly reported cough, followed by fever and myalgia/arthralgia. Thirteen studies described management for long COVID: Focused on a multidisciplinary approach in seven articles, pulmonary rehabilitation in three articles, fatigue management in two articles and psychological therapy in one study.

People experience varied COVID-19 symptoms after treatment. However, guidelines on evidence-based, multidisciplinary management for long COVID conditions are limited in the literature. The COVID-19 pandemic may extend due to virus mutations; therefore, it is crucial to develop and disseminate evidence-based, multidisciplinary management guidelines.

A rehabilitation care plan and community healthcare plans are necessary for COVID-19 patients before discharge. Remote programmes could facilitate the monitoring and screening of people with long COVID.

The global coronavirus disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become the greatest worldwide public health threat of this century, which may predispose multi-organ failure (especially the lung) and death despite numerous mild and moderate symptoms. Recent studies have unraveled the molecular and clinical characteristics of the infectivity, pathogenicity, and immune evasion of SARS-CoV-2 and thus improved the development of many different therapeutic strategies to combat COVID-19, including treatment and prevention. Previous studies have indicated that nitric oxide (NO) is an antimicrobial and anti-inflammatory molecule with key roles in pulmonary vascular function in the context of viral infections and other pulmonary disease states. This review summarized the recent advances of the pathogenesis of SARS-CoV-2, and accordingly elaborated on the potential application of NO in the management of patients with COVID-19 through antiviral activities and anti-inflammatory properties, which mitigate the propagation of this disease. Although there are some limits of NO in the treatment of COVID-19, it might be a worthy candidate in the multiple stages of COVID-19 prevention or therapy.

The worst outcomes linked to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection have been attributed to the cytokine storm, which contributes significantly to the immunopathogenesis of the disease. The mammalian target of rapamycin (mTOR) pathway is essential for orchestrating innate immune cell defense including cytokine production and is dysregulated in severe Coronavirus Disease 2019 (COVID-19) individuals. The individual genetic background might play a role in the exacerbated immune response.

In this study, we aimed to investigate the association between MTOR genetic variants and COVID-19 outcomes.

This study enrolled groups of individuals with severe (n = 285) and mild (n = 207) COVID-19 from Brazilian states. The MTOR variants, rs1057079 and rs2536, were genotyped. A logistic regression analysis and Kaplan-Meier survival curves were performed. We applied a genotyping risk score to estimate the cumulative contribution of the risk alleles. Tumor necrosis factor (TNF) and interleukin-6 (IL-6) plasma levels were also measured.

The T allele of the MTOR rs1057079 variant was associated with a higher likelihood of developing the most severe form of COVID-19. In addition, higher levels of IL-6 and COVID-19 death was linked to the T allele of the rs2536 variant. These variants exhibited a cumulative risk when inherited collectively.

These results show a potential pathogenetic role of MTOR gene variants and may be useful for predicting severe outcomes following COVID-19 infection, resulting in a more effective allocation of health resources.