2021
DOI: 10.1016/j.jacc.2021.02.056
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NHLBI-CMREF Workshop Report on Pulmonary Vascular Disease Classification

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Cited by 14 publications
(10 citation statements)
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“…Here, we used network medicine to integrate various big data elements (i.e., metabolic pathways, transcriptomics, and protein-protein interactions) for experimental validation. In doing so, this work achieves a scientific benchmark ( 43 ) in which interconnecting omics optimize the specificity and rigor of outputs ( 44 , 45 ). Since an overarching objective of this study was to ignore a priori assumptions regarding potential links between specific aa and PAH, a strategy such as network medicine that could reduce the initial data set according to functionally relevant pathways was essential.…”
Section: Discussionmentioning
confidence: 99%
“…Here, we used network medicine to integrate various big data elements (i.e., metabolic pathways, transcriptomics, and protein-protein interactions) for experimental validation. In doing so, this work achieves a scientific benchmark ( 43 ) in which interconnecting omics optimize the specificity and rigor of outputs ( 44 , 45 ). Since an overarching objective of this study was to ignore a priori assumptions regarding potential links between specific aa and PAH, a strategy such as network medicine that could reduce the initial data set according to functionally relevant pathways was essential.…”
Section: Discussionmentioning
confidence: 99%
“…This approach has proven successful in the OPTICS study [ 88 ] or DETECT study [ 89 ] to exclude iPAH, and in the European Respiratory Society (ERS)/European Respiratory Journal (ERJ) risk criteria and the REVEAL risk stratification [ 90 ] to predict outcome in PAH. A third approach may involve unbiased collection of large data sets, including proteomics, transcriptomics and metabolomics, which measure multiple diagnostic biomarkers representative for multiple disease domains in PAH [ 91 ]. A PAH-like signature can be used to distinguish iPAH from other diseases.…”
Section: Discussionmentioning
confidence: 99%
“…The inclusion of PAH in future iterations of the GBD study may provide the impetus for broader data collection efforts. More sophisticated proteomic and metabolomic approaches to classification may help guide future efforts to assess its true burden 83 . The results of this search will be used to inform GBD estimation of PAH and help to quantify its global burden, thereby guiding global efforts to prioritize and treat this often‐overlooked condition.…”
Section: Discussionmentioning
confidence: 99%