RT Journal Article
SR 00
ID 10.1038/s41467-021-27326-0
A1 Kariotis, Sokratis
A1 Jammeh, Emmanuel
A1 Swietlik, Emilia M.
A1 Pickworth, Josephine A.
A1 Rhodes, Christopher J.
A1 Otero, Pablo
A1 Wharton, John
A1 Iremonger, James
A1 Dunning, Mark J.
A1 Pandya, Divya
A1 Mascarenhas, Thomas S.
A1 Errington, Niamh
A1 Thompson, A. A. Roger
A1 Romanoski, Casey E.
A1 Rischard, Franz
A1 Garcia, Joe G. N.
A1 Yuan, Jason X.-J.
A1 An, Tae-Hwi Schwantes
A1 Desai, Ankit A.
A1 Coghlan, Gerry
A1 Lordan, Jim
A1 Corris, Paul A.
A1 Howard, Luke S.
A1 Condliffe, Robin
A1 Kiely, David G.
A1 Church, Colin
A1 Pepke-Zaba, Joanna
A1 Toshner, Mark
A1 Wort, Stephen
A1 Gräf, Stefan
A1 Morrell, Nicholas W.
A1 Wilkins, Martin R.
A1 Lawrie, Allan
A1 Wang, Dennis
A1 Bleda, Marta
A1 Hadinnapola, Charaka
A1 Haimel, Matthias
A1 Auckland, Kate
A1 Tilly, Tobias
A1 Martin, Jennifer M.
A1 Yates, Katherine
A1 Treacy, Carmen M.
A1 Day, Margaret
A1 Greenhalgh, Alan
A1 Shipley, Debbie
A1 Peacock, Andrew J.
A1 Irvine, Val
A1 Kennedy, Fiona
A1 Moledina, Shahin
A1 MacDonald, Lynsay
A1 Tamvaki, Eleni
A1 Barnes, Anabelle
A1 Cookson, Victoria
A1 Chentouf, Latifa
A1 Ali, Souad
A1 Othman, Shokri
A1 Ranganathan, Lavanya
A1 Gibbs, J. Simon R.
A1 DaCosta, Rosa
A1 Pinguel, Joy
A1 Dormand, Natalie
A1 Parker, Alice
A1 Stokes, Della
A1 Ghedia, Dipa
A1 Tan, Yvonne
A1 Ngcozana, Tanaka
A1 Wanjiku, Ivy
A1 Polwarth, Gary
A1 Mackenzie Ross, Rob V.
A1 Suntharalingam, Jay
A1 Grover, Mark
A1 Kirby, Ali
A1 Grove, Ali
A1 White, Katie
A1 Seatter, Annette
A1 Creaser-Myers, Amanda
A1 Walker, Sara
A1 Roney, Stephen
A1 Elliot, Charles A.
A1 Charalampopoulos, Athanasios
A1 Sabroe, Ian
A1 Hameed, Abdul
A1 Armstrong, Iain
A1 Hamilton, Neil
A1 Rothman, Alex M. K.
A1 Swift, Andrew J.
A1 Wild, James M.
A1 Soubrier, Florent
A1 Eyries, Mélanie
A1 Humbert, Marc
A1 Montani, David
A1 Girerd, Barbara
A1 Scelsi, Laura
A1 Ghio, Stefano
A1 Gall, Henning
A1 Ghofrani, Ardi
A1 Bogaard, Harm J.
A1 Noordegraaf, Anton Vonk
A1 Houweling, Arjan C.
A1 Veld, Anna Huis in’t
A1 Schotte, Gwen
T1 Biological heterogeneity in idiopathic pulmonary arterial hypertension identified through unsupervised transcriptomic profiling of whole blood
JF Nature Communications
YR 2021
FD 2021-12-07
VO 12
AB Idiopathic pulmonary arterial hypertension (IPAH) is a rare but fatal disease diagnosed by right heart catheterisation and the exclusion of other forms of pulmonary arterial hypertension, producing a heterogeneous population with varied treatment response. Here we show unsupervised machine learning identification of three major patient subgroups that account for 92% of the cohort, each with unique whole blood transcriptomic and clinical feature signatures. These subgroups are associated with poor, moderate, and good prognosis. The poor prognosis subgroup is associated with upregulation of the ALAS2 and downregulation of several immunoglobulin genes, while the good prognosis subgroup is defined by upregulation of the bone morphogenetic protein signalling regulator NOG, and the C/C variant of HLA-DPA1/DPB1 (independently associated with survival). These findings independently validated provide evidence for the existence of 3 major subgroups (endophenotypes) within the IPAH classification, could improve risk stratification and provide molecular insights into the pathogenesis of IPAH.
PB Nature Research
SN 2041-1723
LK https://eprints.gla.ac.uk/260156/