Search

Background COVID-19 is a pandemic caused by the SARS-CoV-2 virus that shares and differs in clinical characteristics of known viral infections. Methods We obtained RNAseq profiles of 62 prospectively enrolled COVID-19 patients and 24 healthy controls (HC). We collected 23 independent studies profiling 1,855 blood samples from patients covering six viruses (influenza, RSV, HRV, Ebola, Dengue and SARS-CoV-1). We studied host whole-blood transcriptomic responses in COVID-19 compared to non-COVID-19 viral infections to understand similarities and differences in host response. Gene signature threshold was absolute effect size ≥1, FDR ≤ 0.05%. Results Differential gene expression of COVID-19 vs HC are highly correlated with non-COVID-19 vs HC (r=0.74, p< 0.001). We discovered two gene signatures: COVID-19 vs HC (2002 genes) (COVIDsig) and non-COVID-19 vs HC (635 genes) (nonCOVIDsig). Pathway analysis of over-expressed signature genes in COVIDsig or nonCOVIDsig identified similar pathways including neutrophil activation, innate immune response, immune response to viral infection and cytokine production. Conversely, for under-expressed genes, pathways indicated repression of lymphocyte differentiation and activation (Fig1). Intersecting the two gene signatures found two genes significantly oppositely regulated (ACO1, ATL3). We derived a third gene signature using COCONUT to compare COVID-19 to non-COVID-19 viral infections (416 genes) (Fig2). Pathway analysis did not result in significant enrichment, suggesting identification of novel biology (Fig1). Statistical deconvolution of bulk transcriptomic data found M1 macrophages, plasmacytoid dendritic cells, CD14+ monocytes, CD4+ T cells and total B cells changed in the same direction across COVID-19 and non-COVID-19 infections. Cell types that increased in COVID-19 relative to non-COVID-19 were CD56bright NK cells, M2 macrophages and total NK cells. Those that decreased in non-COVID-19 relative to COVID-19 were CD56dim NK cells & memory B cells and eosinophils (Fig3). Figure 1 Figure 2 Figure 3 Conclusion The concordant and discordant responses mapped here provide a window to explore the pathophysiology of COVID-19 vs other viral infections and show clear differences in signaling pathways and cellularity as part of the host response to SARS-CoV-2. Disclosures Simone A. Thair, PhD, Inflammatix, Inc. (Employee, Shareholder) Yudong He, PhD, Inflammatix Inc. (Employee) Yehudit Hasin-Brumshtein, PhD, Inflammatix (Employee, Shareholder) Suraj Sakaram, MS in Biochemistry and Molecular Biology, Inflammatix (Employee, Other Financial or Material Support, stock options) Rushika R. Pandya, MS, Inflammatix Inc. (Employee, Shareholder) David C. Rawling, PhD, Inflammatix Inc. (Employee, Shareholder) Purvesh Khatri, PhD, Inflammatix Inc. (Shareholder) Timothy Sweeney, MD, PHD, Inflammatix, Inc. (Employee, Shareholder)

Background While major progress has been made to establish diagnostic tools for the diagnosis of SARS-CoV-2 infection, determining the severity of COVID-19 remains an unmet medical need. With limited hospital resources, gauging severity would allow for some patients to safely recover in home quarantine while ensuring sicker patients get needed care. We discovered a 5 host mRNA-based classifier for the severity of influenza and other acute viral infections and validated the classifier in COVID-19 patients from Greece. Methods We used training data (N=705) from 21 retrospective clinical studies of influenza and other viral illnesses. Five host mRNAs from a preselected panel were applied to train a logistic regression classifier for predicting 30-day mortality in influenza and other viral illnesses. We then applied this classifier, with fixed weights, to an independent cohort of subjects with confirmed COVID-19 from Athens, Greece (N=71) using NanoString nCounter. Finally, we developed a proof-of-concept rapid, isothermal qRT-LAMP assay for the 5-mRNA host signature using the QuantStudio 6 qPCR platform. Results In 71 patients with COVID-19, the 5 mRNA classifier had an AUROC of 0.88 (95% CI 0.80-0.97) for identifying patients with severe respiratory failure and/or 30-day mortality (Figure 1). Applying a preset cutoff based on training data, the 5-mRNA classifier had 100% sensitivity and 46% specificity for identifying mortality, and 88% sensitivity and 68% specificity for identifying severe respiratory failure. Finally, our proof-of-concept qRT-LAMP assay showed high correlation with the reference NanoString 5-mRNA classifier (r=0.95). Figure 1. Validation of the 5-mRNA classifier in the COVID-19 cohort. (A) Expression of the 5 genes used in the logistic regression model in patients with (red) and without (blue) mortality. (B) The 5-mRNA classifier accurately distinguishes non-severe and severe patients with COVID-19 as well as those at risk of death. Conclusion Our 5-mRNA classifier demonstrated very high accuracy for the prediction of COVID-19 severity and could assist in the rapid, point-of-impact assessment of patients with confirmed COVID-19 to determine level of care thereby improving patient management and healthcare burden. Disclosures ljubomir Buturovic, PhD, Inflammatix Inc. (Employee, Shareholder) Purvesh Khatri, PhD, Inflammatix Inc. (Shareholder) Oliver Liesenfeld, MD, Inflammatix Inc. (Employee, Shareholder) James Wacker, n/a, Inflammatix Inc. (Employee, Shareholder) Uros Midic, PhD, Inflammatix Inc. (Employee, Shareholder) Roland Luethy, PhD, Inflammatix Inc. (Employee, Shareholder) David C. Rawling, PhD, Inflammatix Inc. (Employee, Shareholder) Timothy Sweeney, MD, Inflammatix, Inc. (Employee)

Methods and compositions disclosed herein generally relate to methods of identifying, validating, and measuring clinically relevant, quantifiable biomarkers of diagnostic and therapeutic responses for blood, vascular, cardiac, and respiratory tract dysfunction, particularly as those responses relate to septic shock in pediatric patients. In particular, the invention relates to identifying two or more biomarkers associated with septic shock in pediatric patients, obtaining a sample from a pediatric patient having at least one indication of septic shock, then quantifying from the sample an amount of two or more of said biomarkers, wherein the level of said biomarker correlates with a predicted outcome.

Summary Background Persistent moderate or severe unipolar depression is common and expensive to treat. Clinical guidelines recommend combined pharmacotherapy and psychotherapy. Such treatments can take up to 1 year to show an effect, but no trials of suitable duration have been done. We investigated the efficacy and cost-effectiveness of outpatient-based, specialist depression services (SDS) versus treatment as usual (TAU) on depression symptoms and function. Methods We did a multicentre, single-blind, patient-level, parallel, randomised controlled trial (RCT), as part of the National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care (CLAHRC) study, in three mental health outpatient settings in England. Eligible participants were in secondary care, were older than 18 years, had unipolar depression (with a current major depressive episode, a 17-item Hamilton Depression Rating Scale [HDRS 17 ] score of ≥16, and a Global Assessment of Function [GAF] score of ≤60), and had not responded to 6 months or more of treatment for depression. Randomisation was stratified by site with allocation conveyed to a trial administrator, with research assessors masked to outcome. Patients were randomised (1:1) using a computer-generated pseudo-random code with random permuted blocks of varying sizes of two, four, or six to either SDS (collaborative care approach between psychiatrists and cognitive behavioural therapists for 12 months, followed by graduated transfer of care up to 15 months) or to the TAU group. Intention-to-treat primary outcome measures were changes in HDRS 17 and GAF scores between baseline and 6, 12, and 18 months' follow-up. We will separately publish follow-up outcomes for months 24 and 36. Clinical efficacy and cost-effectiveness were examined from health and social care persp ectives at 18 months, as recommended by the National Institute for Health and Care Excellence. This trial is registered at ClinicalTrials.gov (NCT01047124) and the ISRCTN registry (ISRCTN10963342); the trial has ended. Findings 307 patients were assessed for eligibility between Dec 21, 2009, and Oct 31, 2012. 94 patients were assigned to TAU and 93 patients to SDS, and were included in intention-to-treat analyses. The changes from baseline to 6 months in HDRS 17 and GAF scores did not significantly differ between treatment groups (mean change difference in HDRS 17 score −1·01 [95% CI −3·30 to 1·28], p=0·385; and in GAF score 1·33 [–2·92 to 5·57], p=0·538). Primary outcome data were available for 134 (72%) patients at 12 months. We noted no differences at 12 months' follow-up between SDS and TAU for mean HDRS 17 score (14·8 [SD 7·9] in the SDS group vs 17·2 [7·3] in the TAU group, p=0·056) or GAF score (60·4 [11·7] vs 55·8 [12·7], p=0·064), and the changes from baseline to 12 months in HDRS 17 and GAF scores did not significantly differ between treatment groups (mean change difference in HDRS 17 score −2·45 [95% CI −5·04 to 0·14], p=0·064; and in GAF score 4·12 [–0·11 to 8·35], p=0·056). The mean change in HDRS 17 score from baseline to 18 months was significantly improved in the SDS group compared with the TAU group (13·6 [SD 8·8] in the SDS group vs 16·1 [6·6] in the TAU group; mean change difference −2·96 [95% CI −5·33 to −0·59], p=0·015), but the GAF scores showed no significant differences between the groups (61·2 [SD 13·0] vs 57·7 [11·9]; mean change difference 3·82 [–9·3 to 8·57], p=0·113). We reported no deaths, but one (1%) patient was admitted to hospital for myocardial infarction, and three episodes of self-harm were reported in three (2%) patients (two receiving TAU, one receiving SDS care). The incremental cost-effectiveness ratio of SDS versus TAU was £43 603 per quality-adjusted life-year. Interpretation Compared with usual specialist mental health secondary care, SDS might improve depression symptoms for patients with persistent moderate to severe depression, but functional outcomes and economic benefits are equivocal. Funding National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care, UK Medical Research Council, Nottinghamshire Healthcare NHS Foundation Trust, Derbyshire Healthcare NHS Foundation Trust, Cambridgeshire and Peterborough NHS Foundation Trust, University of Nottingham.

This study compares the effects of fractionated 2400, 4800 and 7200 rad doses of Co-60 irradiation on the formed and developing teeth of the rats. The 7200 rad dosage was found to cause damage to both odontoblasts and ameloblasts of developing incisors but to spare previously formed molars.