Biological heterogeneity in idiopathic pulmonary arterial hypertension identified through unsupervised transcriptomic profiling of whole blood
oleh: 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
| Format: | Article |
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| Diterbitkan: | Nature Portfolio 2021-12-01 |
Deskripsi
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.