Severity of SARS-CoV-2 infection as a function of the interferon landscape across the respiratory tract of COVID-19 patients

Host-derived oxidized phospholipids initiate effector-triggered immunity fostering lethality upon microbial encounter

Macrophages detect invading microorganisms via pattern recognition receptors that recognize pathogen-associated molecular patterns, or via sensing the activity of virulence factors that initiates effector-triggered immunity (ETI). Tissue damage that follows pathogen encounter leads to the release of host-derived factors that participate to inflammation. How these self-derived molecules are sensed by macrophages and their impact on immunity remain poorly understood. Here we demonstrate that, in mice and humans, host-derived oxidized phospholipids (oxPLs) are formed upon microbial encounter. oxPL blockade restricts inflammation and prevents the death of the host, without affecting pathogen burden. Mechanistically, oxPLs bind and inhibit AKT, a master regulator of immunity and metabolism. AKT inhibition potentiates the methionine cycle, and epigenetically dampens Il10, a pluripotent anti-inflammatory cytokine. Overall, we found that host-derived inflammatory cues act as "self" virulence factors that initiate ETI and that their activity can be targeted to protect the host against excessive inflammation upon microbial encounter.

Reduced replication but increased interferon resistance of SARS-CoV-2 Omicron BA.1

The IFN system constitutes a powerful antiviral defense machinery. Consequently, effective IFN responses protect against severe COVID-19 and exogenous IFNs inhibit SARS-CoV-2 in vitro. However, emerging SARS-CoV-2 variants of concern (VOCs) may have evolved reduced IFN sensitivity. Here, we determined differences in replication and IFN susceptibility of an early SARS-CoV-2 isolate (NL-02-2020) and the Alpha, Beta, Gamma, Delta, and Omicron VOCs in Calu-3 cells, iPSC-derived alveolar type-II cells (iAT2) and air-liquid interface (ALI) cultures of primary human airway epithelial cells. Our data show that Alpha, Beta, and Gamma replicated to similar levels as NL-02-2020. In comparison, Delta consistently yielded higher viral RNA levels, whereas Omicron was attenuated. All viruses were inhibited by type-I, -II, and -III IFNs, albeit to varying extend. Overall, Alpha was slightly less sensitive to IFNs than NL-02-2020, whereas Beta, Gamma, and Delta remained fully sensitive. Strikingly, Omicron BA.1 was least restricted by exogenous IFNs in all cell models. Our results suggest that enhanced innate immune evasion rather than higher replication capacity contributed to the effective spread of Omicron BA.1.

Computational framework to understand the clinical stages of COVID-19 and visualization of time course for various treatment strategies

Coronavirus disease 2019 is known to be regulated by multiple factors such as delayed immune response, impaired T cell activation, and elevated levels of proinflammatory cytokines. Clinical management of the disease remains challenging due to interplay of various factors as drug candidates may elicit different responses depending on the staging of the disease. In this context, we propose a computational framework which provides insights into the interaction between viral infection and immune response in lung epithelial cells, with an aim of predicting optimal treatment strategies based on infection severity. First, we formulate the model for visualizing the nonlinear dynamics during the disease progression considering the role of T cells, macrophages and proinflammatory cytokines. Here, we show that the model is capable of emulating the dynamic and static data trends of viral load, T cell, macrophage levels, interleukin (IL)-6 and TNF-α levels. Second, we demonstrate the ability of the framework to capture the dynamics corresponding to mild, moderate, severe, and critical condition. Our result shows that, at late phase (>15 days), severity of disease is directly proportional to pro-inflammatory cytokine IL6 and tumor necrosis factor (TNF)-α levels and inversely proportional to the number of T cells. Finally, the simulation framework was used to assess the effect of drug administration time as well as efficacy of single or multiple drugs on patients. The major contribution of the proposed framework is to utilize the infection progression model for clinical management and administration of drugs inhibiting virus replication and cytokine levels as well as immunosuppressant drugs at various stages of the disease.

SARS-CoV-2 genomes from Saudi Arabia implicate nucleocapsid mutations in host response and increased viral load

Monitoring SARS-CoV-2 spread and evolution through genome sequencing is essential in handling the COVID-19 pandemic. Here, we sequenced 892 SARS-CoV-2 genomes collected from patients in Saudi Arabia from March to August 2020. We show that two consecutive mutations (R203K/G204R) in the nucleocapsid (N) protein are associated with higher viral loads in COVID-19 patients. Our comparative biochemical analysis reveals that the mutant N protein displays enhanced viral RNA binding and differential interaction with key host proteins. We found increased interaction of GSK3A kinase simultaneously with hyper-phosphorylation of the adjacent serine site (S206) in the mutant N protein. Furthermore, the host cell transcriptome analysis suggests that the mutant N protein produces dysregulated interferon response genes. Here, we provide crucial information in linking the R203K/G204R mutations in the N protein to modulations of host-virus interactions and underline the potential of the nucleocapsid protein as a drug target during infection.

COVID-19: Inflammatory Profile

Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the cause of coronavirus disease 2019 (COVID-19), has resulted in a pandemic that has had widespread effects on human activities. The clinical presentation of severe COVID-19 includes a broad spectrum of clinical disease, most notably acute respiratory distress syndrome, cytokine release syndrome (CRS), multiorgan failure, and death. Direct viral damage and uncontrolled inflammation have been suggested as contributory factors in COVID-19 disease severity. The COVID-19 pandemic has emphasized the critical role of an effective host immune response in controlling a virus infection and demonstrated the devastating effect of immune dysregulation. Understanding the nature of the immune response to SARS-CoV-2 pathogenesis is key to developing effective treatments for COVID-19. Here, we describe the nature of the dysregulated host immune response in COVID-19, identify potential mechanisms involved in CRS, and discuss potential strategies that can be used to manage immune dysregulation in COVID-19. Expected final online publication date for the Annual Review of Medicine, Volume 73 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.