Severe Acute Respiratory Syndrome Coronavirus 2

Predictive Value and Diagnostic Potential of IL-10, IL-17A, IL1-β, IL-6, CXCL, and MCP for Severe COVID-19 and COVID-19 Mortality

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) necessitates advanced prognostic tools to anticipate disease progression and optimize patient outcomes. This study evaluates the predictive value and diagnostic potential of interleukins interleukin (IL) IL-10, IL-17A, IL1-β, IL-6, chemokine ligand (CXCL), and Monocyte Chemotactic Protein (MCP) for severe coronavirus disease 2019 (COVID-19) and COVID-19 mortality, aiming to correlate cytokine levels with disease severity. Conducted from January 2023 to January 2024, this prospective cohort study involved patients hospitalized with moderate and severe COVID-19 from Romania. This study analyzed statistically significant predictors of severe COVID-19 outcomes. IL-6 and MCP emerged as significant, with hazard ratios (HRs) of 2.35 (95% confidence interval (CI): 1.54-3.59, p = 0.014) and 2.05 (95% CI: 1.22-3.45, p = 0.007), respectively. Compound scores integrating multiple inflammatory markers also demonstrated predictive value; Compound Score 2 had an HR of 2.23 (95% CI: 1.35-3.68, p = 0.002), surpassing most single markers in association with severe disease. Notably, interleukins IL-10 and IL-1β did not show significant associations with disease severity. This study underscores the importance of IL-6 and MCP as robust predictors of severe COVID-19, substantiating their role in clinical assessments to foresee patient deterioration. The utility of compound scores in enhancing predictive accuracy suggests a composite approach may be more effective in clinical settings.

Laboratory Profile of COVID-19 Patients with Hepatitis C-Related Liver Cirrhosis

Patients with cirrhosis are known to have multiple comorbidities and impaired organ system functioning due to alterations caused by chronic liver failure. In the past two years, since the COVID-19 pandemic started, several studies have described the affinity of SARS-CoV-2 with the liver and biliary cells. Considering hepatitis C as a significant independent factor for cirrhosis in Romania, this research was built on the premises that this certain group of patients is susceptible to alterations of their serum parameters that are yet to be described, which might be useful in the management of COVID-19 in these individuals. A retrospective cohort study was developed at a tertiary hospital for infectious disease in Romania, which included a total of 242 patients with hepatitis C cirrhosis across two years, out of which 46 patients were infected with SARS-CoV-2. Stratification by patient weight and COVID-19 status identified several important laboratory serum tests as predictors for acute-on-chronic liver failure and risk for intensive care unit admission. Thus, white blood cell count, lymphocyte count, ferritin, hypoglycemia, prothrombin time, and HCV viral load were independent risk factors for ACLF in patients with COVID-19. High PT, creatinine, BUN, and HCV viral load were the strongest predictors for ICU admission. Inflammatory markers and parameters of gas exchange were also observed as risk factors for ACLF and ICU admission, including procalcitonin, CRP, IL-6, and D-dimers. Our study questions and confirms the health impact of COVID-19 on patients with cirrhosis and whether their laboratory profile significantly changes due to SARS-CoV-2 infection.

Current Trends in SPR Biosensing of SARS-CoV-2 Entry Inhibitors

The emerging risk of viral diseases has triggered the search for preventive and therapeutic agents. Since the beginning of the COVID-19 pandemic, greater efforts have been devoted to investigating virus entry mechanisms into host cells. The feasibility of plasmonic sensing technologies for screening interactions of small molecules in real time, while providing the pharmacokinetic drug profiling of potential antiviral compounds, offers an advantageous approach over other biophysical methods. This review summarizes recent advancements in the drug discovery process of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) inhibitors using Surface Plasmon Resonance (SPR) biosensors. A variety of SPR assay formats are discussed according to the binding kinetics and drug efficacies of both natural products and repurposed drugs. Special attention has been given to the targeting of antiviral agents that block the receptor binding domain of the spike protein (RBD-S) and the main protease (3CLpro) of SARS-CoV-2. The functionality of plasmonic biosensors for high-throughput screening of entry virus inhibitors was also reviewed taking into account experimental parameters (binding affinities, selectivity, stability), potential limitations and future applications.