ABSTRACT
ABSTRACT Background In this phase 2 randomised placebo-controlled clinical trial, we hypothesised that blocking mineralocorticoid receptors with spironolactone in patients with COVID-19 is safe and may reduce illness severity. Methods Hospitalised patients with confirmed COVID-19 were randomly allocated to low dose oral spironolactone (50mg day 1, then 25mg once daily for 21 days) or standard care in a 2:1 ratio. Both groups received dexamethasone 6mg for 10 days. Group allocation was blinded to the patient and research team. Primary outcomes were time to recovery, defined as the number of days until patients achieved WHO Ordinal Scale (OS) category ≤ 3, and the effect of spironolactone on aldosterone, D-dimer, angiotensin II and Von Willebrand Factor (VWF). Results 120 patients were recruited in Delhi from 01 February to 30 April 2021. 74 were randomly assigned to spironolactone and dexamethasone (SpiroDex), and 46 to dexamethasone alone (Dex). There was no significant difference in the time to recovery between SpiroDex and Dex groups (SpiroDex median 4.5 days, Dex median 5.5 days, p = 0.055). SpiroDex patients had lower aldosterone levels on day 7 and lower D-dimer levels on days 4 and 7 (day 7 D-dimer mean SpiroDex 1.15µg/mL, Dex 3.15 µg/mL, p = 0.0004). There was no increase in adverse events in patients receiving SpiroDex. Post hoc analysis demonstrated reduced clinical deterioration (pre specified as escalating to WHO OS category >4) in the SpiroDex group vs Dex group (5.4% vs 19.6%). Conclusion Low dose oral spironolactone in addition to dexamethasone was safe and reduced D-Dimer and aldosterone. Although time to recovery was not significantly reduced, fewer patients progressed to severe disease. Phase 3 randomised controlled trials with spironolactone should be considered.
Subject(s)
COVID-19ABSTRACT
Rationale: High galectin-3 levels predict poor outcomes in patients with COVID-19. Galectin-3 activates monocytes and macrophages which are directly implicated in COVID-19 immunopathology and the cytokine storm. GB0139 is a potent thiodigalactoside galectin-3 inhibitor and may reduce the severe effects of the disease. We report safety and pharmacokinetics and pharmacodynamics of the inhaled galectin-3 inhibitor, GB0139, and assess clinical outcomes and key systemic inflammatory biomarkers in hospitalised patients with COVID-19 (ClinicalTrials.gov/EudraCT identifier: NCT04473053/2020-002230-32). Methods: Adults with COVID-19 requiring oxygen, and with pneumonitis on x-ray, were randomised to receive standard of care (SOC; including dexamethasone; n=21) or SOC plus 10 mg GB0139 twice daily for 48 hours, then once daily for [≤]14 days (n=20). Results: Patients aged 27-87 years were enrolled from July 2020; the final patient completed the 90-day follow-up in April 2021. GB0139+SOC was well tolerated with no treatment-related serious adverse events reported. Incidences of adverse events were similar between treatment arms (40 with GB0139+SOC vs 35 with SOC). Plasma GB0139 was measurable in all patients after inhaled exposure, with moderate interpatient variability, and demonstrated target engagement with decreased circulating galectin (overall treatment effect post-hoc over days 2-7: p=0{middle dot}0099 vs SOC). Rate of decline in fraction of inspired oxygen (%) requirement was significantly greater in the GB0139+SOC arm with a posterior mean difference of -1 {middle dot}51 (95% highest posterior density: -2{middle dot}90, -0{middle dot}189) versus SOC. Plasma levels of biomarkers associated with inflammation, coagulopathy, major organ function and fibrosis showed a downward trend versus SOC. Conclusions: GB0139+SOC was well tolerated and achieved clinically relevant plasma concentrations and target engagement. This, and the reduction in markers associated with inflammatory, coagulation, fibrosis, and reduction in inspired oxygen (%) over SOC alone, indicates the therapeutic potential for inhaled GB0139 in hospitalised patients with COVID-19.
Subject(s)
Fibrosis , Blood Coagulation Disorders , Pneumonia , Blood Coagulation Disorders, Inherited , COVID-19 , InflammationABSTRACT
Despite the success of vaccines and selected repurposed treatments, COVID-19 is likely to remain a global health problem and further chemotherapeutics are required. Many repurposed drugs have progressed rapidly to Phase 2 and 3 trials without characterisation of Pharmacokinetics (PK)/Pharmacodynamics (PD) including safety in COVID-19. One such drug is Nafamostat Mesylate (Nafamostat), a synthetic serine protease inhibitor with anticoagulant and anti-inflammatory properties. Preclinical data has demonstrated that it is has potent antiviral activity against SARS-CoV-2 by directly inhibiting the transmembrane protease serine 2 (TMPRSS2) dependent stage of host cell entry. Methods: We present the findings of a phase Ib/II open label, platform randomised controlled trial (RCT), exploring the safety of intravenous Nafamostat in hospitalised patients with confirmed COVID-19 pneumonitis. Patients were assigned randomly to standard of care (SoC), Nafamostat or an alternative therapy. Secondary endpoints included clinical endpoints such as number of oxygen free days and clinical improvement/ deterioration, PK/PD, thromboelastometry, D Dimers, cytokines, immune cell flow cytometry and viral load. Results: Data is reported from 42 patients, 21 of which were randomly assigned to receive intravenous Nafamostat. The Nafamostat group developed significantly higher plasma creatinine levels, more adverse events and a lower number of oxygen free days. There were no other statistically significant differences in the primary or secondary endpoints between Nafamostat and SoC. PK data demonstrated that intravenous Nafamostat was rapidly broken down to inactive metabolites. We observed an antifibrinolytic profile, and no significant anticoagulant effects in thromboelastometry. Participants in the Nafamostat group had higher D Dimers compared to SoC. There were no differences in cytokine profile and immune cell phenotype and viral loads between the groups. Conclusion In hospitalised patients with COVID-19, we did not observe evidence of anti-inflammatory, anticoagulant or antiviral activity with intravenous Nafamostat. Given the number of negative trials with repurposed drugs, our experimental medicine trial highlights the value of PK/PD studies prior to selecting drugs for efficacy trials. Given the mechanism of action, further evaluation of Nafamostat delivered via a different route may be warranted. This trial demonstrates the importance of experimental trials in new disease entities such as COVID-19 prior to selecting drugs for larger trials.
Subject(s)
COVID-19 , PneumoniaABSTRACT
Successful development of a chemoprophylaxis against SARS-CoV-2 could provide a tool for infection prevention implementable alongside vaccination programmes. Camostat and nafamostat are serine protease inhibitors that inhibit SARS-CoV-2 viral entry in vitro but have not been characterised for chemoprophylaxis in animal models. Clinically, nafamostat is limited to intravenous delivery and while camostat is orally available, both drugs have extremely short plasma half-lives. This study sought to determine whether intranasal dosing at 5 mg/kg twice daily was able to prevent airborne transmission of SARS-CoV-2 from infected to uninfected Syrian golden hamsters. SARS-CoV-2 viral RNA was above the limits of quantification in both saline- and camostat-treated hamsters 5 days after cohabitation with a SARS-CoV-2 inoculated hamster. However, intranasal nafamostat-treated hamsters remained RNA negative for the full 7 days of cohabitation. Changes in body weight over the course of the experiment were supportive of a lack of clinical symptomology in nafamostat-treated but not saline- or camostat-treated animals. These data are strongly supportive of the utility of intranasally delivered nafamostat for prevention of SARS-CoV-2 infection and further studies are underway to confirm absence of pulmonary infection and pathological changes.
Subject(s)
COVID-19 , Severe Acute Respiratory Syndrome , Pulmonary EmbolismABSTRACT
Background: Tissue inflammation in fatal COVID-19 is concentrated in the lung and spleen. Anti-inflammatory therapy reduces mortality but knowledge on the host response at the level of inflamed tissues is incomplete. Methods: We performed targeted proteomic analysis of pulmonary and splenic tissues from 13 fatal cases of COVID-19 that underwent rapid autopsy, and compared to control tissues from cancer resection (lung) and deceased organ donors (spleen). Viral RNA presence was determined by multiplex PCR, and protein was isolated from tissue by phenol extraction. Targeted multiplex immunoassay panels were used for protein detection and quantification. Findings: Pulmonary proteins with increased abundance in COVID-19 included the monocyte/macrophage chemoattractant MCP-3, antiviral TRIM21 and pro-thrombotic TYMP. The lung injury markers OSM and EN-RAGE/S100A12 were highly correlated and associated with tissue inflammation severity. Unsupervised clustering of lung proteomes clearly defined two COVID-19 clusters; these differed by viral presence, tissue inflammation severity and illness duration and were annotated ‘early viral’ and ‘late inflammatory’ groups. In the spleen, lymphocyte chemotactic factors and CD8A were decreased in COVID-19, with pro-apoptotic factors, B-cell signalling components and macrophage colony stimulating factor (CSF-1) all increased. To contextualise our findings, we cross-referenced an existing meta-analysis of host factors in COVID-19 (MAIC). Overlap with a substantial sub-set of factors (including DDX58, OSM, TYMP, IL-18, MCP-3 and CSF-1) was found, with numerous additional proteins also identified by our study. Interpretation: Tissue proteomes from fatal COVID-19 identify disease subsets and dissect host immunopathologic signatures. In doing so, this may afford unique opportunities for therapeutic intervention.Funding Information: This work was funded by UK Research and Innovation (UKRI) (Coronavirus Disease [COVID-19] Rapid Response Initiative; MR/V028790/1 to C.D.L., D.A.D., and J.A.H.), LifeArc (through the University of Edinburgh STOPCOVID funding award, to K.D, D.A.D, C.D.L), The Chief Scientist Office (RARC-19 Funding Call, ‘Inflammation in Covid-19: Exploration of Critical Aspects of Pathogenesis; COV/EDI/20/10’ to D.A.D, C.D.L, C.D.R, J.K.B and D.J.H), and Medical Research Scotland (CVG-1722-2020 to DAD, CDL, CDR, JKB, and DJH). C.D.L is funded by a Wellcome Trust Clinical Career Development Fellowship (206566/Z/17/Z). J.K.B. and C.D.R. are supported by the Medical Research Council (grant MC_PC_19059) as part of the ISARIC Coronavirus Clinical Characterisation Consortium (ISARIC-4C). C.D.R. is supported by an Edinburgh Clinical Academic Track (ECAT)/Wellcome Trust PhD Training Fellowship for Clinicians award (214178/Z/18/Z). J.A.H. is supported by the U.S. Food and Drug Administration (contract 75F40120C00085, Characterization of severe coronavirus infection in humans and model systems for medical countermeasure development and evaluation’). G.C.O is funded by an NRS Clinician award. N.N.G. is funded by a Pathological Society Award. A.R.A. is supported by a Cancer Research UK Clinician Scientist Fellowship award (A24867).Declaration of Interests: All authors have declared that no competing interests exist.Ethics Approval Statement: Written informed consent to undertake postmortem examinations was obtained from next-of-kin. Ethical approval was granted by the East of Scotland Research Ethics Service (16/ES/0084).
Subject(s)
Coronavirus Infections , Lung Injury , Neoplasms , Learning Disabilities , COVID-19 , Pyruvate Carboxylase Deficiency DiseaseABSTRACT
IntroductionCOVID-19 (Coronavirus Disease 2019) is a new viral-induced pneumonia caused by infection with a novel coronavirus, SARS CoV2 (Severe Acute Respiratory Syndrome Coronavirus 2). At present there are few proven effective treatments. This early phase experimental medicine protocol describes an overarching and adaptive trial designed to provide safety, pharmacokinetic (PK)/ pharmacodynamic (PD) information and exploratory biological surrogates of efficacy, which may support further development and deployment of candidate therapies in larger scale trials of COVID-19 positive patients. Methods and analysisDEFINE is an ongoing exploratory multicentre platform, open label, randomised study. COVID-19 positive patients will be recruited from the following cohorts; a) community cases b) hospitalised patients with new changes on a chest x-ray (CXR) or a computed tomography (CT) scan or requiring supplemental oxygen and c) hospitalised patients requiring assisted ventilation. Participants may be recruited from all three of these cohorts, depending on the experimental therapy, its route of administration and mechanism of action. The primary statistical analyses are concerned with the safety of candidate agents as add-on therapy to standard of care in patients with COVID-19. Safety will be assessed usingO_LIHaematological and biochemical safety laboratory investigations. C_LIO_LIPhysical examination C_LIO_LIVital signs (blood pressure/heart rate/temperature and respiratory rate) C_LIO_LIDaily electrocardiogram (ECG) readings C_LIO_LIAdverse events C_LI The analysis population will consist of (i) all patients randomised to a treatment arm who receive any dose of the study drug and (ii) all patients randomised to the control arm who would also have been eligible to receive a study drug. Secondary analysis will assess the following variables during treatment period 1) the response of key exploratory biomarkers 2) change in WHO ordinal scale and NEWS2 score 3) oxygen requirements 4) viral load 5) duration of hospital stay 6) PK/PD and 7) changes in key coagulation pathways. Ethics and disseminationThe DEFINE trial platform and its initial two treatment and standard of care arms have received full ethical approval from Scotland A REC (20/SS/0066), the MHRA (EudraCT 2020-002230-32) and NHS Lothian and NHS Greater Glasgow and Clyde. The results of each study arm will be published as soon as the treatment arm has finished recruitment, data input is complete and any outstanding patient safety follow-ups have been completed. Depending on the results of these or future arms, data will be shared with larger clinical trial networks, including RECOVERY, and to other partners for rapid roll out in larger patient cohorts. Registration detailsThe DEFINE protocol has been registered on ISRCTN (https://www.isrctn.com/) and Clinicaltrials.gov(https://www.clinicaltrials.gov/). ClinicalTrials.gov Identifier: NCT04473053 ISRCTN Identifier: ISRCTN14212905 Strengths and limitations of this studyO_LIThe trial is as flexible as possible to ensure a broad range of patients can be recruited and candidate therapies can be added or removed as evidence emerges. C_LIO_LIThe team are collecting real world data of medications at an early stage of their use in COVID-19 across the full spectrum of disease; allowing the administration of different treatment formulations (inhaled vs oral vs intravenous). C_LIO_LIThe simultaneous collection of clinical outcomes as well as exploratory endpoints including clinical biomarkers, flow cytometry, PK/PD and thromboelastography allows further characterisation and elucidation of the temporal immuno-inflammatory cascade in COVID-19 to inform on future therapy selection. C_LIO_LIThis is a Phase 1b/IIa platform study and thus the primary end point is clinical safety therefore our anticipated numbers will be too small to allow for definitive data on efficacy. C_LIO_LIDEFINE is an experimental medicine platform, currently restricted to three clinical sites and so the generation of data will be slower than that of larger platforms with access to a greater number of patients. C_LI
Subject(s)
COVID-19ABSTRACT
Understanding the mechanisms by which infection with SARS-CoV-2 leads to acute respiratory distress syndrome (ARDS) is of significant clinical interest given the mortality associated with severe and critical coronavirus induced disease 2019 (COVID-19). Neutrophils play a key role in the lung injury characteristic of non-COVID-19 ARDS, but a relative paucity of these cells is observed at post-mortem in lung tissue of patients who succumb to infection with SARS-CoV-2. With emerging evidence of a dysregulated innate immune response in COVID-19, we undertook a functional proteomic survey of circulating neutrophil populations, comparing patients with COVID-19 ARDS, non-COVID-19 ARDS, moderate COVID-19, and healthy controls. We observe that expansion of the circulating neutrophil compartment and the presence of activated low and normal density mature and immature neutrophil populations occurs in both COVID-19 and non-COVID-19 ARDS. In contrast, release of neutrophil granule proteins, neutrophil activation of the clotting cascade and formation of neutrophil platelet aggregates is significantly increased in COVID-19 ARDS. Importantly, activation of components of the neutrophil type I IFN responses is specific to infection with SARS-CoV-2 and linked to metabolic rewiring. Together this work highlights how differential activation of circulating neutrophil populations may contribute to the pathogenesis of ARDS, identifying processes that are specific to COVID-19 ARDS.
Subject(s)
COVID-19 , Coronavirus Infections , Lung Diseases , Respiratory Distress SyndromeABSTRACT
Successful host defence against a pathogen can involve resistance or tolerance, with implications for prioritising either antimicrobial or immunomodulatory therapeutic approaches. Hyper-inflammation occurs in Covid-19 and is associated with worse outcomes. The efficacy of dexamethasone in preventing mortality in critical Covid-19 suggests that inflammation has a causal role in death. Whether this deleterious inflammation is primarily a direct response to the presence of SARS-CoV-2 requiring enhanced resistance, or an independent immunopathologic process necessitating enhanced tolerance, is unknown. Here we report an aberrant immune response in fatal Covid-19, principally involving the lung and reticuloendothelial system, that is not clearly topologically associated with the virus, indicating tissue-specific tolerance of SARS-CoV-2. We found that inflammation and organ dysfunction in fatal Covid-19 did not map to the widespread tissue and cellular distribution of SARS-CoV-2 RNA and protein, both between and within tissues. A monocyte/myeloid-rich vasculitis was identified in the lung, along with an influx of macrophages/monocytes into the parenchyma. In addition, stereotyped abnormal reticulo-endothelial responses (reactive plasmacytosis and iron-laden macrophages) were present and dissociated from the presence of virus in lymphoid tissues. Our results support virus-independent immunopathology being one of the primary mechanisms underlying fatal Covid-19. This supports prioritising pathogen tolerance as a therapeutic strategy in Covid-19, by better understanding non-injurious organ-specific viral tolerance mechanisms and targeting aberrant macrophage and plasma cell responses.
Subject(s)
COVID-19 , Vasculitis , Inflammation , Multiple Organ FailureABSTRACT
Background: Accurate risk prediction of clinical outcome would usefully inform clinical decisions and intervention targeting in COVID-19. The aim of this study was to derive and validate risk prediction models for poor outcome and death in adult inpatients with COVID-19. Methods: Model derivation using data from Wuhan, China used logistic regression with death and poor outcome (death or severe disease) as outcomes. Predictors were demographic, comorbidity, symptom and laboratory test variables. The best performing models were externally validated in data from London, UK. Findings: 4.3% of the derivation cohort (n=775) died and 9.7% had a poor outcome, compared to 34.1% and 42.9% of the validation cohort (n=226). In derivation, prediction models based on age, sex, neutrophil count, lymphocyte count, platelet count, C-reactive protein and creatinine had excellent discrimination (death c-index=0.91, poor outcome c-index=0.88), with good-to-excellent calibration. Using two cut-offs to define low, high and very-high risk groups, derivation patients were stratified in groups with observed death rates of 0.34%, 15.0% and 28.3% and poor outcome rates 0.63%, 8.9% and 58.5%. External validation discrimination was good (c-index death=0.74, poor outcome=0.72) as was calibration. However, observed rates of death were 16.5%, 42.9% and 58.4% and poor outcome 26.3%, 28.4% and 64.8% in predicted low, high and very-high risk groups. Interpretation: Our prediction model using demography and routinely-available laboratory tests performed very well in internal validation in the lower-risk derivation population, but less well in the much higher-risk external validation population. Further external validation is needed. Collaboration to create larger derivation datasets, and to rapidly externally validate all proposed prediction models in a range of populations is needed, before routine implementation of any risk prediction tool in clinical care. Funding Statement: HW and HZ are supported by Medical Research Council and Health Data Research UK Grant (MR/S004149/1), Industrial Strategy Challenge Grant (MC_PC_18029) and Wellcome Institutional Translation Partnership Award (PIII054). RD is supported by the National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London. DMB is funded by a UKRI Innovation Fellowship as part of Health Data Research UK MR/S00310X/1 (https://www.hdruk.ac.uk). KD is supported by LifeArc STOPCOVID award. This work uses data provided by patients and collected by the NHS as part of their care and support. XW is supported by National Natural Science Foundation of China (grant number:81700006). QL is supported by National Key R&D Program (2018YFC1313700), National Natural Science Foundation of China (grant number: 81870064) and the “Gaoyuan” project of Pudong Health and Family Planning Commission (PWYgy2018-06).Declaration of Interests: The authors declare no competing interests.Ethics Approval Statement: The derivation study was approved by the Research Ethics Committee of Shanghai Dongfang Hospital and Taikang Tongji Hospital. The external validation study operated under London South East Research Ethics Committee (reference 18/LO/2048) approval granted to the King’s Electronic Records Research Interface (KERRI).
Subject(s)
Mucocutaneous Lymph Node Syndrome , Cross Infection , COVID-19 , Pyruvate Carboxylase Deficiency DiseaseABSTRACT
Background Accurate risk prediction of clinical outcome would usefully inform clinical decisions and intervention targeting in COVID-19. The aim of this study was to derive and validate risk prediction models for poor outcome and death in adult inpatients with COVID-19. Methods Model derivation using data from Wuhan, China used logistic regression with death and poor outcome (death or severe disease) as outcomes. Predictors were demographic, comorbidity, symptom and laboratory test variables. The best performing models were externally validated in data from London, UK. Findings 4.3% of the derivation cohort (n=775) died and 9.7% had a poor outcome, compared to 34.1% and 42.9% of the validation cohort (n=226). In derivation, prediction models based on age, sex, neutrophil count, lymphocyte count, platelet count, C-reactive protein and creatinine had excellent discrimination (death c-index=0.91, poor outcome c-index=0.88), with good-to-excellent calibration. Using two cut-offs to define low, high and very-high risk groups, derivation patients were stratified in groups with observed death rates of 0.34%, 15.0% and 28.3% and poor outcome rates 0.63%, 8.9% and 58.5%. External validation discrimination was good (c-index death=0.74, poor outcome=0.72) as was calibration. However, observed rates of death were 16.5%, 42.9% and 58.4% and poor outcome 26.3%, 28.4% and 64.8% in predicted low, high and very-high risk groups. Interpretation Our prediction model using demography and routinely-available laboratory tests performed very well in internal validation in the lower-risk derivation population, but less well in the much higher-risk external validation population. Further external validation is needed. Collaboration to create larger derivation datasets, and to rapidly externally validate all proposed prediction models in a range of populations is needed, before routine implementation of any risk prediction tool in clinical care.