Project description:In this prospective observational cohort study, we found transcriptional evidence that persistent immune dysfunction was associated with 28-day mortality in both COVID-19 and non-COVID-19 septic patients. COVID-19 patients had an early antiviral response but became indistinguishable on a gene expression level from non-COVID-19 sepsis patients a week later. Early treatment of COVID-19 and non-COVID-19 sepsis ICU patients should focus on pathogen control, but both patient groups also require novel immunomodulatory treatments, particularly later during ICU hospitalization, independent of admission diagnosis. Some T1 samples were uploaded in GSE185263 and were not re-uploaded in this series.
Project description:Although some studies reported the comprehensive mRNA expression analysis of coronavirus disease 2019 (COVID-19) using blood samples to understand its pathogenesis, the characteristics of RNA expression in COVID-19 and sepsis have not been compared. We compared the transcriptome expression of whole blood samples from patients with COVID-19 caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and patients with sepsis caused by other bacteria who entered the intensive care unit to clarify the COVID-19-specific RNA expression and understand its pathogenesis. Transcriptomes related to mitochondria were upregulated in COVID-19, whereas those related to neutrophils were upregulated in sepsis. However, the transcriptomes related to neutrophils were upregulated in both COVID-19 and sepsis compared to in healthy controls, whereas the mitochondrial transcriptomes were upregulated in COVID-19 and downregulated in sepsis compared to in healthy controls. Moreover, sepsis showed sub-optimal intrinsic apoptotic features compared with COVID-19. The transcriptome expression of COVID-19 has been examined in vitro but has not been widely validated using human specimens. This study improves the understanding of the pathogenesis of COVID-19 and can contribute to the development of treatments.
Project description:Severely-afflicted COVID-19 patients can exhibit disease manifestations representative of sepsis, including acute respiratory distress syndrome and multiple organ failure. We hypothesized that diagnostic tools used in managing all-cause sepsis, such as clinical criteria, biomarkers, and gene expression signatures, should extend to COVID-19 patients. Here we analyzed the whole blood transcriptome of 124 early (1-5 days post-hospital admission) and late (6-20 days post-admission) sampled patients with confirmed COVID-19 infections from hospitals in Quebec, Canada. Mechanisms associated with COVID-19 severity were identified between severity groups (ranging from mild disease to the requirement for mechanical ventilation and mortality), and established sepsis signatures were assessed for dysregulation. Specifically, gene expression signatures representing pathophysiological events, namely cellular reprogramming, organ dysfunction, and mortality, were significantly enriched and predictive of severity and lethality in COVID-19 patients. Mechanistic endotypes reflective of distinct sepsis aetiologies and therapeutic opportunities were also identified in subsets of patients, enabling prediction of potentially-effective repurposed drugs. The expression of sepsis gene expression signatures in severely-afflicted COVID-19 patients indicates that these patients should be classified as having severe sepsis. Accordingly, in severe COVID-19 patients, these signatures should be strongly considered for the mechanistic characterization, diagnosis, and guidance of treatment using repurposed drugs.
Project description:Background: COVID-19 and sepsis represent formidable public health challenges, characterized by incompletely elucidated molecular mechanisms. Elucidating the interplay between COVID-19 and sepsis, particularly in geriatric patients suffering from sepsis-induced acute respiratory distress syndrome (ARDS), is of paramount importance for identifying potential therapeutic interventions to mitigate hospitalization and mortality risks.We employed bioinformatics and systems biology approaches to identify hub genes, shared pathways, molecular biomarkers, and candidate therapeutics for managing COVID-19, sepsis, and sepsis-induced ARDS. We corroborated these hub genes utilizing murine sepsis-ARDS models and blood samples derived from geriatric patients afflicted by sepsis-induced ARDS.Results: Our investigation revealed 189 differentially expressed genes (DEGs) shared among COVID-19 and sepsis datasets. We constructed a protein-protein interaction network, unearthing pivotal hub genes and modules. Notably, nine hub genes displayed significant alterations and correlations with critical inflammatory mediators of pulmonary injury in murine septic lungs. Simultaneously, 12 displayed significant changes and correlations with a neutrophil-recruiting chemokine in geriatric patients with sepsis-induced ARDS. Of these, six hub genes (CD247, CD2, CD40LG, KLRB1, LCN2, RETN) showed significant alterations across COVID-19, sepsis, and geriatric sepsis-induced ARDS. Our single-cell RNA sequencing analysis of hub genes across 3 diverse immune cell types furnished insights into disease pathogenesis. Functional analysis underscored the interconnection between sepsis/sepsis-ARDS and COVID-19, enabling us to pinpoint potential therapeutic targets, transcription factor-gene interactions, DEG-microRNA co-regulatory networks, and prospective drug and chemical compound interactions involving hub genes.Our investigation offers potential therapeutic targets/biomarkers, sheds light on the immune response in geriatric patients with sepsis-induced ARDS, emphasizes the association between sepsis/sepsis-ARDS and COVID-19, and proposes novel avenues for targeted therapies.
Project description:This prospective observational study conducted at Osaka University Graduate School of Medicine aimed to compare host responses in sepsis and COVID-19 patients by analyzing mRNA and miRNA profiles. They included 22 sepsis patients, 35 COVID-19 patients, and 15 healthy subjects. Sepsis was diagnosed using Sepsis-3 criteria, while COVID-19 was confirmed through SARS-CoV-2 RT-PCR testing and chest CT scans for pneumonia assessment. For RNA sequencing, 14,500 mRNAs, 1121 miRNAs, and 2556 miRNA-targeted mRNAs were available for analysis in sepsis patients. Numbers of genes showing upregulated:downregulated gene expression (false discovery rate <0.05, |log2 fold change| >1.5) were 256:2887 for mRNA, 53:5 for miRNA, and 49:2507 for miRNA-targeted mRNA. Similarly, in COVID-19 patients, 14,500 mRNAs, 1121 miRNAs, and 327 miRNA-targeted mRNAs were analyzed, with numbers of genes exhibiting upregulated:downregulated gene expression of 672:1147 for mRNA, 3:4 for miRNA, and 165:162 for miRNA-targeted mRNA. Sepsis patients had a greater number of upregulated and downregulated genes and pathways compared to COVID-19 patients, indicating a dynamic change in gene expression and pathway activation in sepsis.
Project description:This prospective observational study conducted at Osaka University Graduate School of Medicine aimed to compare host responses in sepsis and COVID-19 patients by analyzing mRNA and miRNA profiles. They included 22 sepsis patients, 35 COVID-19 patients, and 15 healthy subjects. Sepsis was diagnosed using Sepsis-3 criteria, while COVID-19 was confirmed through SARS-CoV-2 RT-PCR testing and chest CT scans for pneumonia assessment. For RNA sequencing, 14,500 mRNAs, 1121 miRNAs, and 2556 miRNA-targeted mRNAs were available for analysis in sepsis patients. Numbers of genes showing upregulated:downregulated gene expression (false discovery rate <0.05, |log2 fold change| >1.5) were 256:2887 for mRNA, 53:5 for miRNA, and 49:2507 for miRNA-targeted mRNA. Similarly, in COVID-19 patients, 14,500 mRNAs, 1121 miRNAs, and 327 miRNA-targeted mRNAs were analyzed, with numbers of genes exhibiting upregulated:downregulated gene expression of 672:1147 for mRNA, 3:4 for miRNA, and 165:162 for miRNA-targeted mRNA. Sepsis patients had a greater number of upregulated and downregulated genes and pathways compared to COVID-19 patients, indicating a dynamic change in gene expression and pathway activation in sepsis.
Project description:Aims: SARS-CoV-2 infection causes COVID-19, which in severe cases evokes life-threatening acute respiratory distress syndrome (ARDS). Transcriptome signatures and the functional relevance of non-vascular cell types (e.g. immune and epithelial cells) in COVID-19 are becoming increasingly evident. However, despite its known contribution to vascular inflammation, recruitment/invasion of immune cells, vascular leakage and perturbed hemostasis in the lungs of severe COVID-19 patients, an in-depth interrogation of the endothelial cell (EC) compartment in lethal COVID-19 is lacking. Moreover, progressive fibrotic lung disease represents one of the complications of COVID-19 pneumonia and ARDS. Analogous features between idiopathic pulmonary fibrosis (IPF) and COVID-19 suggest partial similarities in their pathophysiology, yet, a head-to-head comparison of pulmonary cell transcriptomes between both conditions has not been implemented to date.
Project description:Infection by SARS-CoV-2 and subsequent COVID-19 can cause viral sepsis and septic shock. Our past studies demonstrated that dysregulated systemic proteolysis is associated with the pathological mechanism in bacterial septic shock. Thus, here we perform shotgun proteomics and peptidomics analysis by LC-MS/MS to identify and quantify the circulating protein and peptide profile of COVID-19 patient plasma. Plasma samples from four COVID-19 patients were collected at different time points of their ICU stay, including samples from a patient with COVID-19-induced sepsis and bacterial superinfection. By combining mass spectrometry analysis with enzymatic activity assays, our study elucidates the possible pathological involvement of proteolysis in COVID-19-induced sepsis, with particular insight into the dyregulation of protease-mediated systems, such as the coagulation cascade.
Project description:Immune responses in lungs of Coronavirus Disease 2019 (COVID-19) are poorly characterized. We conducted transcriptomic, histologic and cellular profiling of post mortem COVID-19 and normal lung tissues. Two distinct immunopathological reaction patterns were identified. One pattern showed high expression of interferon stimulated genes (ISGs) and cytokines, high viral loads and limited pulmonary damage, the other pattern showed severely damaged lungs, low ISGs, low viral loads and abundant immune infiltrates. Distinct patterns of pulmonary COVID-19 immune responses correlated to hospitalization time and may guide treatment and vaccination approaches.