Nature Communications (Dec 2021)
Biological heterogeneity in idiopathic pulmonary arterial hypertension identified through unsupervised transcriptomic profiling of whole blood
- Sokratis Kariotis,
- Emmanuel Jammeh,
- Emilia M. Swietlik,
- Josephine A. Pickworth,
- Christopher J. Rhodes,
- Pablo Otero,
- John Wharton,
- James Iremonger,
- Mark J. Dunning,
- Divya Pandya,
- Thomas S. Mascarenhas,
- Niamh Errington,
- A. A. Roger Thompson,
- Casey E. Romanoski,
- Franz Rischard,
- Joe G. N. Garcia,
- Jason X.-J. Yuan,
- Tae-Hwi Schwantes An,
- Ankit A. Desai,
- Gerry Coghlan,
- Jim Lordan,
- Paul A. Corris,
- Luke S. Howard,
- Robin Condliffe,
- David G. Kiely,
- Colin Church,
- Joanna Pepke-Zaba,
- Mark Toshner,
- Stephen Wort,
- Stefan Gräf,
- Nicholas W. Morrell,
- Martin R. Wilkins,
- Allan Lawrie,
- Dennis Wang,
- UK National PAH Cohort Study Consortium
Affiliations
- Sokratis Kariotis
- Department of Neuroscience, University of Sheffield
- Emmanuel Jammeh
- Department of Neuroscience, University of Sheffield
- Emilia M. Swietlik
- Department of Medicine, University of Cambridge
- Josephine A. Pickworth
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield
- Christopher J. Rhodes
- National Heart and Lung Institute, Imperial College London
- Pablo Otero
- National Heart and Lung Institute, Imperial College London
- John Wharton
- National Heart and Lung Institute, Imperial College London
- James Iremonger
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield
- Mark J. Dunning
- Department of Neuroscience, University of Sheffield
- Divya Pandya
- Department of Medicine, University of Cambridge
- Thomas S. Mascarenhas
- Department of Neuroscience, University of Sheffield
- Niamh Errington
- Department of Neuroscience, University of Sheffield
- A. A. Roger Thompson
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield
- Casey E. Romanoski
- Department of Cellular and Molecular Medicine, University of Arizona
- Franz Rischard
- Department of Cellular and Molecular Medicine, University of Arizona
- Joe G. N. Garcia
- Department of Cellular and Molecular Medicine, University of Arizona
- Jason X.-J. Yuan
- Department of Medicine, University of California, San Diego
- Tae-Hwi Schwantes An
- Department of Medicine, Indiana University
- Ankit A. Desai
- Department of Medicine, Indiana University
- Gerry Coghlan
- Royal Free Hospital, University College London
- Jim Lordan
- Newcastle University
- Paul A. Corris
- Newcastle University
- Luke S. Howard
- National Heart and Lung Institute, Imperial College London
- Robin Condliffe
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield
- David G. Kiely
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield
- Colin Church
- University of Glasgow
- Joanna Pepke-Zaba
- Royal Papworth Hospital
- Mark Toshner
- Department of Medicine, University of Cambridge
- Stephen Wort
- National Heart and Lung Institute, Imperial College London
- Stefan Gräf
- Department of Medicine, University of Cambridge
- Nicholas W. Morrell
- Department of Medicine, University of Cambridge
- Martin R. Wilkins
- National Heart and Lung Institute, Imperial College London
- Allan Lawrie
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield
- Dennis Wang
- Department of Neuroscience, University of Sheffield
- UK National PAH Cohort Study Consortium
- DOI
- https://doi.org/10.1038/s41467-021-27326-0
- Journal volume & issue
-
Vol. 12,
no. 1
pp. 1 – 14
Abstract
Idiopathic pulmonary arterial hypertension is a rare and fatal disease with a heterogeneous treatment response. Here the authors show that unsupervised machine learning of whole blood transcriptomes from 359 patients with idiopathic pulmonary arterial hypertension identifies 3 subgroups (endophenotypes) that improve risk stratification and provide new molecular insights.
