1. Biological heterogeneity in idiopathic pulmonary arterial hypertension identified through unsupervised transcriptomic profiling of whole blood
- Author
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Kariotis, S, Jammeh, E, Swietlik, EM, Pickworth, JA, Rhodes, CJ, Otero, P, Wharton, J, Iremonger, J, Dunning, MJ, Pandya, D, Mascarenhas, TS, Errington, N, Thompson, AAR, Romanoski, CE, Rischard, F, Garcia, JGN, Yuan, JX-J, An, T-HS, Desai, AA, Coghlan, G, Lordan, J, Corris, PA, Howard, LS, Condliffe, R, Kiely, DG, Church, C, Pepke-Zaba, J, Toshner, M, Wort, S, Graf, S, Morrell, NW, Wilkins, MR, Lawrie, A, Wang, D, Bleda, M, Hadinnapola, C, Haimel, M, Auckland, K, Tilly, T, Martin, JM, Yates, K, Treacy, CM, Day, M, Greenhalgh, A, Shipley, D, Peacock, AJ, Irvine, V, Kennedy, F, Moledina, S, MacDonald, L, Tamvaki, E, Barnes, A, Cookson, V, Chentouf, L, Ali, S, Othman, S, Ranganathan, L, Gibbs, JSR, DaCosta, R, Pinguel, J, Dormand, N, Parker, A, Stokes, D, Ghedia, D, Tan, Y, Ngcozana, T, Wanjiku, I, Polwarth, G, Mackenzie Ross, RV, Suntharalingam, J, Grover, M, Kirby, A, Grove, A, White, K, Seatter, A, Creaser-Myers, A, Walker, S, Roney, S, Elliot, CA, Charalampopoulos, A, Sabroe, I, Hameed, A, Armstrong, I, Hamilton, N, Rothman, AMK, Swift, AJ, Wild, JM, Soubrier, F, Eyries, M, Humbert, M, Montani, D, Girerd, B, Scelsi, L, Ghio, S, Gall, H, Ghofrani, A, Bogaard, HJ, Noordegraaf, AV, Houweling, AC, Veld, AHI, Schotte, G, Kariotis, Sokratis [0000-0001-9993-6017], Pickworth, Josephine A [0000-0002-7199-364X], Rhodes, Christopher J [0000-0002-4962-3204], Wharton, John [0000-0001-8110-2575], Iremonger, James [0000-0003-3953-8812], Dunning, Mark J [0000-0002-8853-9435], Errington, Niamh [0000-0001-6768-7394], Thompson, AA Roger [0000-0002-0717-4551], Howard, Luke S [0000-0003-2822-210X], Graf, Stefan [0000-0002-1315-8873], Wilkins, Martin R [0000-0003-3926-1171], Lawrie, Allan [0000-0003-4192-9505], Wang, Dennis [0000-0003-0068-1005], Apollo - University of Cambridge Repository, Gräf, Stefan [0000-0002-1315-8873], Pickworth, Josephine A. [0000-0002-7199-364X], Rhodes, Christopher J. [0000-0002-4962-3204], Dunning, Mark J. [0000-0002-8853-9435], Thompson, A. A. Roger [0000-0002-0717-4551], Howard, Luke S. [0000-0003-2822-210X], Wilkins, Martin R. [0000-0003-3926-1171], Pulmonary medicine, ACS - Pulmonary hypertension & thrombosis, Human genetics, and ACS - Atherosclerosis & ischemic syndromes
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HYPOXIA-INDUCED PROLIFERATION ,OPERATED CALCIUM-ENTRY ,Classification and taxonomy ,Science ,PROGNOSTIC IMPACT ,General Physics and Astronomy ,Down-Regulation ,631/114/2404 ,General Biochemistry, Genetics and Molecular Biology ,38/91 ,Functional clustering ,Genomic analysis ,631/114/1386 ,631/1647/2217 ,Humans ,Familial Primary Pulmonary Hypertension ,HLA-DP beta-Chains ,RISK SCORE CALCULATOR ,OUTCOMES ,Pulmonary Arterial Hypertension ,Science & Technology ,Multidisciplinary ,Gene Expression Profiling ,692/4019/592/75 ,article ,49/39 ,General Chemistry ,Multidisciplinary Sciences ,IRON-DEFICIENCY ,Cardiovascular diseases ,UK National PAH Cohort Study Consortium ,REGISTRY ,ASSESSMENTS ,SURVIVAL ,Science & Technology - Other Topics ,Transcriptome ,5-Aminolevulinate Synthetase - Abstract
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., 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.
- Published
- 2020
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