John Kenneth Baillie

John Kenneth Baillie

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John Kenneth Baillie

Baillie Gifford Pandemic Science Hub, Centre for Inflammation Research, The Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, UK

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 May 2020 in BMJ
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ADAnnemarie B Docherty
Annemarie B Docherty
EHEwen M Harrison
Ewen M Harrison
CGChristopher A. Green
Christopher A. Green
HHHayley E Hardwick
Hayley E Hardwick
RPRiinu Pius
Riinu Pius
MSMalcolm Gracie Semple
Malcolm Gracie Semple
Objective To characterise the clinical features of patients admitted to hospital with coronavirus disease 2019 (covid-19) in the United Kingdom during the growth phase of the first wave of this outbreak who were enrolled in the International Severe Acute Respiratory and emerging Infections Consortium (ISARIC) World Health Organization (WHO) Clinical Characterisation Protocol UK (CCP-UK) study, and to explore risk factors associated with mortality in hospital. Design Prospective observational cohort study with rapid data gathering and near real time analysis. Setting 208 acute care hospitals in England, Wales, and Scotland between 6 February and 19 April 2020. A case report form developed by ISARIC and WHO was used to collect clinical data. A minimal follow-up time of two weeks (to 3 May 2020) allowed most patients to complete their hospital admission. Participants 20 133 hospital inpatients with covid-19. Main outcome measures Admission to critical care (high dependency unit or intensive care unit) and mortality in hospital. Results The median age of patients admitted to hospital with covid-19, or with a diagnosis of covid-19 made in hospital, was 73 years (interquartile range 58-82, range 0-104). More men were admitted than women (men 60%, n=12 068; women 40%, n=8065). The median duration of symptoms before admission was 4 days (interquartile range 1-8). The commonest comorbidities were chronic cardiac disease (31%, 5469/17 702), uncomplicated diabetes (21%, 3650/17 599), non-asthmatic chronic pulmonary disease (18%, 3128/17 634), and chronic kidney disease (16%, 2830/17 506); 23% (4161/18 525) had no reported major comorbidity. Overall, 41% (8199/20 133) of patients were discharged alive, 26% (5165/20 133) died, and 34% (6769/20 133) continued to receive care at the reporting date. 17% (3001/18 183) required admission to high dependency or intensive care units; of these, 28% (826/3001) were discharged alive, 32% (958/3001) died, and 41% (1217/3001) continued to receive care at the reporting date. Of those receiving mechanical ventilation, 17% (276/1658) were discharged alive, 37% (618/1658) died, and 46% (764/1658) remained in hospital. Increasing age, male sex, and comorbidities including chronic cardiac disease, non-asthmatic chronic pulmonary disease, chronic kidney disease, liver disease and obesity were associated with higher mortality in hospital. Conclusions ISARIC WHO CCP-UK is a large prospective cohort study of patients in hospital with covid-19. The study continues to enrol at the time of this report. In study participants, mortality was high, independent risk factors were increasing age, male sex, and chronic comorbidity, including obesity. This study has shown the importance of pandemic preparedness and the need to maintain readiness to launch research studies in response to outbreaks. Study registration ISRCTN66726260.

26 March 2014 in Nature
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TCThe FANTOM Consortium
The FANTOM Consortium
RARobin Andersson
Robin Andersson
CGClaudia Gebhard
Claudia Gebhard
IMIrene Miguel-Escalada
Irene Miguel-Escalada
IHIlka Hoof
Ilka Hoof
ASAlbin Sandelin
Albin Sandelin

1 February 2020 in The Lancet
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CRClark D Russell
Clark D Russell
JMJonathan E Millar
Jonathan E Millar
JBJ Kenneth Baillie
J Kenneth Baillie

11 December 2020 in Nature
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EPErola Pairo-Castineira
Erola Pairo-Castineira
SCSara Clohisey
Sara Clohisey
LKLucija Klaric
Lucija Klaric
ABAndrew D. Bretherick
Andrew D. Bretherick
KRKonrad Rawlik
Konrad Rawlik
JBJ. Kenneth Baillie
J. Kenneth Baillie

18 January 2016 in Nature Neuroscience
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KGKathleen Grabert
Kathleen Grabert
TMTom Michoel
Tom Michoel
MKMichail H Karavolos
Michail H Karavolos
SCSara Clohisey
Sara Clohisey
JBJ Kenneth Baillie
J Kenneth Baillie
BMBarry W McColl
Barry W McColl
Heterogeneity within distinct cell populations resident in the central nervous system is increasingly recognized as important for functional diversity, plasticity and sensitivity to neurological disease. The authors demonstrate genome-wide diversity of microglia dependent on brain localization in the young adult and show that aging of microglia occurs in a regionally variable manner. Microglia have critical roles in neural development, homeostasis and neuroinflammation and are increasingly implicated in age-related neurological dysfunction. Neurodegeneration often occurs in disease-specific, spatially restricted patterns, the origins of which are unknown. We performed to our knowledge the first genome-wide analysis of microglia from discrete brain regions across the adult lifespan of the mouse, and found that microglia have distinct region-dependent transcriptional identities and age in a regionally variable manner. In the young adult brain, differences in bioenergetic and immunoregulatory pathways were the major sources of heterogeneity and suggested that cerebellar and hippocampal microglia exist in a more immune-vigilant state. Immune function correlated with regional transcriptional patterns. Augmentation of the distinct cerebellar immunophenotype and a contrasting loss in distinction of the hippocampal phenotype among forebrain regions were key features during aging. Microglial diversity may enable regionally localized homeostatic functions but could also underlie region-specific sensitivities to microglial dysregulation and involvement in age-related neurodegeneration.

5 January 2015 in Genome Biology
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MLMarina Lizio
Marina Lizio
JHJayson Harshbarger
Jayson Harshbarger
HSHisashi Shimoji
Hisashi Shimoji
JSJessica Severin
Jessica Severin
TKTakeya Kasukawa
Takeya Kasukawa
TCthe FANTOM consortium
the FANTOM consortium
The FANTOM5 project investigates transcription initiation activities in more than 1,000 human and mouse primary cells, cell lines and tissues using CAGE. Based on manual curation of sample information and development of an ontology for sample classification, we assemble the resulting data into a centralized data resource (http://fantom.gsc.riken.jp/5/). This resource contains web-based tools and data-access points for the research community to search and extract data related to samples, genes, promoter activities, transcription factors and enhancers across the FANTOM5 atlas.