Seán Keating
A5007128781- COVID-19 Clinical Research Studies
- Long-Term Effects of COVID-19
- SARS-CoV-2 and COVID-19 Research
- interferon and immune responses
- COVID-19 and healthcare impacts
- COVID-19 and Mental Health
- Diabetes and associated disorders
- Respiratory Support and Mechanisms
- Sepsis Diagnosis and Treatment
- Cardiac Arrest and Resuscitation
- Respiratory viral infections research
- Intensive Care Unit Cognitive Disorders
- RNA modifications and cancer
- Viral Infections and Outbreaks Research
- Liver Disease Diagnosis and Treatment
- Respiratory and Cough-Related Research
- Emergency and Acute Care Studies
- Trauma and Emergency Care Studies
- Traumatic Brain Injury Research
- Higher Education Research Studies
- Vaccine Coverage and Hesitancy
- Global Maritime and Colonial Histories
- Machine Learning in Healthcare
- Clinical Reasoning and Diagnostic Skills
- Genomics and Rare Diseases
Edinburgh Royal Infirmary
2020-2024
Johns Hopkins Hospital
2024
International Severe Acute Respiratory and Emerging Infection Consortium
2023
All India Institute of Medical Sciences Rishikesh
2023
All India Institute of Medical Sciences Raipur
2023
University of Oxford
2021
University of Edinburgh
2020
Molecular Devices
2017
Host-mediated lung inflammation is present1, and drives mortality2, in the critical illness caused by coronavirus disease 2019 (COVID-19). Host genetic variants associated with may identify mechanistic targets for therapeutic development3. Here we report results of GenOMICC (Genetics Of Mortality In Critical Care) genome-wide association study 2,244 critically ill patients COVID-19 from 208 UK intensive care units. We have identified replicated following new significant associations: on...
Abstract Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care 1 or hospitalization 2–4 after infection with SARS-CoV-2. The GenOMICC (Genetics Mortality in Care) study enables comparison genomes from individuals who are critically ill those population controls to find underlying disease mechanisms. Here we use whole-genome sequencing 7,491 compared 48,400 discover and replicate 23...
Abstract The subset of patients who develop critical illness in Covid-19 have extensive inflammation affecting the lungs 1 and are strikingly different from other patients: immunosuppressive therapy benefits critically-ill patients, but may harm some non-critical cases. 2 Since susceptibility to life-threatening infections immune-mediated diseases both strongly heritable traits, we reasoned that host genetic variation identify mechanistic targets for therapeutic development Covid-19. 3...
COVID-19 is clinically characterised by fever, cough, and dyspnoea. Symptoms affecting other organ systems have been reported. However, it the clinical associations of different patterns symptoms which influence diagnostic therapeutic decision-making. In this study, we applied clustering techniques to a large prospective cohort hospitalised patients with identify meaningful sub-phenotypes. We obtained structured data on 59,011 in UK (the ISARIC Coronavirus Clinical Characterisation...
Abstract Critical illness in COVID-19 is caused by inflammatory lung injury, mediated the host immune system. We and others have shown that genetic variation influences development of requiring critical care 1 or hospitalisation 2;3;4 following SARS-Co-V2 infection. The GenOMICC (Genetics Mortality Care) study recruits critically-ill cases compares their genomes with population controls order to find underlying disease mechanisms. Here, we use whole genome sequencing statistical fine mapping...
Abstract The ongoing SARS-CoV-2 pandemic was initially managed by non-pharmaceutical interventions such as diagnostic testing, isolation of positive cases, physical distancing and lockdowns. advent vaccines has provided crucial protection against SARS-CoV-2. Neutralising antibody (nAb) responses are a key correlate protection, therefore measuring nAb is essential for monitoring vaccine efficacy. Fingerstick dried blood spots (DBS) ideal use in large-scale sero-surveillance because they...
Abstract Background Severe COVID-19 is characterised by fever, cough, and dyspnoea. Symptoms affecting other organ systems have been reported. However, it the clinical associations of different patterns symptoms which influence diagnostic therapeutic decision-making. In this study, we applied simple machine learning techniques to a large prospective cohort hospitalised patients with identify clinically meaningful sub-groups. Methods We obtained structured data on 59 011 in UK (the ISARIC...
Development of more complex, biologically relevant, and predictive cell-based assays for compound screening is a major challenge in drug discovery. The focus this study was to establish high-throughput compatible three-dimensional (3D) cardiotoxicity using human induced pluripotent stem cell-derived cardiomyocytes. Using both high-content imaging fast kinetic fluorescence imaging, the impact various compounds on beating rates patterns cardiac spheroids monitored by changes intracellular Ca2+...
Abstract Pulmonary inflammation drives critical illness in Covid-19, 1;2 creating a clinically homogeneous extreme phenotype, which we have previously shown to be highly efficient for discovery of genetic associations. 3;4 Despite the advanced stage illness, found that immunomodulatory therapies strong beneficial effects this group. 1;5 Further discoveries may identify additional therapeutic targets modulate severe disease. 6 In new data release from GenOMICC (Genetics Of Mortality Critical...
Out of hospital cardiac arrest (OHCA) is a common problem. Rates survival are low and proportion survivors left with an unfavourable neurological outcome. Four models have been developed to predict risk outcome at the time critical care admission - Cardiac Arrest Hospital Prognosis (CAHP), MIRACLE