Evidence map›Paper›PMID 40686216›Full record

ArticleCirculation. Genomic and precision medicine2025

Lung Single-Cell Transcriptomics Reveal Diverging Pathobiology and Opportunities for Precision Targeting in Scleroderma-Associated Versus Idiopathic Pulmonary Arterial Hypertension.

Tijana Tuhy, Julie C Coursen, Tammy Graves, Michael Patatanian, Christopher Cherry, Shannon E Niedermeyer, Sarah L Khan, Darin T Rosen, Michael P Croglio, Mohab Elnashar and 8 more

Abstract read
In one paragraph

Article in Circulation. Genomic and precision medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Tijana TuhyDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD (T.T., J.C.C., M.P., C.C., S.E.N., S.L.K., D.T.R., M.P.C., T.M.K., S.C.M., P.M.H., L.A.S., K.S., C.E.S.).ORCID 0000-0002-8922-9471
Julie C CoursenDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD (T.T., J.C.C., M.P., C.C., S.E.N., S.L.K., D.T.R., M.P.C., T.M.K., S.C.M., P.M.H., L.A.S., K.S., C.E.S.).ORCID 0009-0003-4847-6876
Tammy GravesDivision of Pulmonary Medicine, Indiana University, Indianapolis (T.G., M.A.A.).
Michael PatatanianDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD (T.T., J.C.C., M.P., C.C., S.E.N., S.L.K., D.T.R., M.P.C., T.M.K., S.C.M., P.M.H., L.A.S., K.S., C.E.S.).ORCID 0009-0005-3108-5806
Christopher CherryDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD (T.T., J.C.C., M.P., C.C., S.E.N., S.L.K., D.T.R., M.P.C., T.M.K., S.C.M., P.M.H., L.A.S., K.S., C.E.S.).ORCID 0000-0002-5481-0055
Shannon E NiedermeyerDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD (T.T., J.C.C., M.P., C.C., S.E.N., S.L.K., D.T.R., M.P.C., T.M.K., S.C.M., P.M.H., L.A.S., K.S., C.E.S.).ORCID 0000-0003-1804-7125
Sarah L KhanDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD (T.T., J.C.C., M.P., C.C., S.E.N., S.L.K., D.T.R., M.P.C., T.M.K., S.C.M., P.M.H., L.A.S., K.S., C.E.S.).
Darin T RosenDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD (T.T., J.C.C., M.P., C.C., S.E.N., S.L.K., D.T.R., M.P.C., T.M.K., S.C.M., P.M.H., L.A.S., K.S., C.E.S.).ORCID 0009-0001-5352-9288
Michael P CroglioDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD (T.T., J.C.C., M.P., C.C., S.E.N., S.L.K., D.T.R., M.P.C., T.M.K., S.C.M., P.M.H., L.A.S., K.S., C.E.S.).
Mohab ElnasharFaculty of Medicine, Ain Shams University, Cairo, Egypt (M.E.).ORCID 0009-0006-2033-5424
Todd M KolbDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD (T.T., J.C.C., M.P., C.C., S.E.N., S.L.K., D.T.R., M.P.C., T.M.K., S.C.M., P.M.H., L.A.S., K.S., C.E.S.).ORCID 0000-0003-0524-7400
Stephen C MathaiDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD (T.T., J.C.C., M.P., C.C., S.E.N., S.L.K., D.T.R., M.P.C., T.M.K., S.C.M., P.M.H., L.A.S., K.S., C.E.S.).ORCID 0000-0003-3188-7209
Rachel L DamicoDivision of Pulmonary and Critical Care Medicine, University of Miami, FL (R.L.D.).ORCID 0000-0002-2584-1557
Paul M HassounDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD (T.T., J.C.C., M.P., C.C., S.E.N., S.L.K., D.T.R., M.P.C., T.M.K., S.C.M., P.M.H., L.A.S., K.S., C.E.S.).ORCID 0000-0003-0601-4975
Larissa A ShimodaDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD (T.T., J.C.C., M.P., C.C., S.E.N., S.L.K., D.T.R., M.P.C., T.M.K., S.C.M., P.M.H., L.A.S., K.S., C.E.S.).ORCID 0000-0001-5987-1378
Karthik SureshDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD (T.T., J.C.C., M.P., C.C., S.E.N., S.L.K., D.T.R., M.P.C., T.M.K., S.C.M., P.M.H., L.A.S., K.S., C.E.S.).ORCID 0000-0003-2920-0949
Micheala A AldredDivision of Pulmonary Medicine, Indiana University, Indianapolis (T.G., M.A.A.).ORCID 0000-0002-7390-9181
Catherine E SimpsonDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD (T.T., J.C.C., M.P., C.C., S.E.N., S.L.K., D.T.R., M.P.C., T.M.K., S.C.M., P.M.H., L.A.S., K.S., C.E.S.).ORCID 0000-0002-2388-5660

Funding

Pulmonary Hypertension Breakthrough InitiativeR24HL123767 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI ALDRED, MICHEALA A, ERZURUM, SERPIL C. · 2014 to 2017
$10.1M
The role of xanthine oxidoreductase activity and altered metabolism in scleroderma-associated pulmonary arterial hypertensionK23HL153781 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI SIMPSON, CATHERINE · 2020 to 2024
$883k
Lipidomics of Pulmonary Vascular DiseaseR03HL176624 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Catherine Simpson · 2025 to 2026
$246k
NHLBI NIH HHS K23 HL153781NHLBI NIH HHS R03 HL176624NHLBI NIH HHS R24 HL123767
6 · The paper itself

Abstract

backgroundPulmonary arterial hypertension (PAH) involves progressive cellular and molecular change within the pulmonary vasculature, leading to increased vascular resistance. Current therapies targeting nitric oxide, endothelin, and prostacyclin pathways yield variable treatment responses. Patients with systemic sclerosis-associated PAH (SSc-PAH) often experience worse outcomes than those with idiopathic PAH (IPAH). We hypothesized that distinct and overlapping gene expression patterns in SSc-PAH versus IPAH lung tissues could inform the investigation of precision-targeted therapies.

methodsLung tissue samples from 4 SSc-PAH, 4 IPAH, and 4 failed donor specimens were obtained from the Pulmonary Hypertension Breakthrough Initiative lung tissue bank. Single-cell RNA sequencing was performed using the 10X Genomics Chromium Flex platform. Data normalization, clustering, and differential expression analysis were conducted using Seurat. Additional analyses included gene set enrichment analysis, transcription factor activity analysis, and ligand-receptor signaling. Pharmacotranscriptomic screening was performed using the Connectivity Map.

resultsSSc-PAH samples showed a higher proportion of fibroblasts compared with failed donors and a higher proportion of dendritic cells/macrophages compared with IPAH. Gene set enrichment analysis revealed enriched pathways related to epithelial-to-mesenchymal transition, apoptosis, and vascular remodeling in SSc-PAH samples. There was pronounced differential gene expression across diverse pulmonary vascular cell types and in various epithelial cell types in both IPAH and SSc-PAH, with epithelial-to-endothelial cell signaling observed. Macrophage-to-endothelial cell signaling was particularly pronounced in SSc-PAH. Pharmacotranscriptomic screening identified TIE2, GSK-3, and PKC inhibitors, among other compounds, as potential drug candidates for reversing SSc-PAH gene expression signatures.

conclusionsOverlapping and distinct gene expression patterns exist in SSc-PAH versus IPAH, with significant molecular differences suggesting unique pathogenic mechanisms in SSc-PAH. These findings highlight the potential for precision-targeted therapies to improve outcomes in patient with SSc-PAH. Future studies should validate these targets and explore their therapeutic efficacy.

Indexed as

Familial Primary Pulmonary HypertensionLungPulmonary Arterial HypertensionScleroderma, SystemicTranscriptomeAdultFemaleGene Expression ProfilingHumansMaleMiddle AgedSingle-Cell Analysiscomputational biologylungprecision medicinepulmonary arterial hypertensionscleroderma, systemictranscriptome

Identifiers

PMID40686216
PMCPMC12313177

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.