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Biological heterogeneity in idiopathic pulmonary arterial hypertension identified through unsupervised transcriptomic profiling of whole blood.


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.

SUBMITTER: Kariotis S 

PROVIDER: S-EPMC8651638 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature

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Biological heterogeneity in idiopathic pulmonary arterial hypertension identified through unsupervised transcriptomic profiling of whole blood.

Kariotis Sokratis S   Jammeh Emmanuel E   Swietlik Emilia M EM   Pickworth Josephine A JA   Rhodes Christopher J CJ   Otero Pablo P   Wharton John J   Iremonger James J   Dunning Mark J MJ   Pandya Divya D   Mascarenhas Thomas S TS   Errington Niamh N   Thompson A A Roger AAR   Romanoski Casey E CE   Rischard Franz F   Garcia Joe G N JGN   Yuan Jason X-J JX   An Tae-Hwi Schwantes TS   Desai Ankit A AA   Coghlan Gerry G   Lordan Jim J   Corris Paul A PA   Howard Luke S LS   Condliffe Robin R   Kiely David G DG   Church Colin C   Pepke-Zaba Joanna J   Toshner Mark M   Wort Stephen S   Gräf Stefan S   Morrell Nicholas W NW   Wilkins Martin R MR   Lawrie Allan A   Wang Dennis D  

Nature communications 20211207 1


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 poo  ...[more]

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