Evidence map›Paper›PMID 39141563›Full record

ReviewAmerican journal of respiratory cell and molecular biology2025

Deciphering the Complexities of Pulmonary Hypertension: The Emergent Role of Single-Cell Omics.

Ruslan Rafikov, Vinicio de Jesus Perez, Aleksandr Dekan, Tatiana V Kudryashova, Olga Rafikova

Abstract readReview
In one paragraph

Review in American journal of respiratory cell and molecular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ruslan RafikovDivision of Pulmonary, Critical Care, Sleep and Occupational Medicine, Department of Medicine, Indiana University, Indianapolis, Indiana.ORCID 0000-0001-5950-4076
Vinicio de Jesus PerezDivision of Pulmonary and Critical Care Medicine, Stanford University Medical Center, Stanford, California; and.
Aleksandr DekanDivision of Pulmonary, Critical Care, Sleep and Occupational Medicine, Department of Medicine, Indiana University, Indianapolis, Indiana.
Tatiana V KudryashovaUniversity of Pittsburgh Heart, Blood, and Vascular Medicine Institute, Pittsburgh, Pennsylvania.
Olga RafikovaDivision of Pulmonary, Critical Care, Sleep and Occupational Medicine, Department of Medicine, Indiana University, Indianapolis, Indiana.

Funding

The Wnt7a/ROR2 axis in the pathogenesis of pulmonary arterial hypertensionR01HL134776 · NHLBI · STANFORD UNIVERSITY · PI DE JESUS PEREZ, VINICIO A · 2017 to 2025
$5.0M
Endothelial-pericyte interactions in the pathogenesis of pulmonary arterial hypertensionR01HL139664 · NHLBI · STANFORD UNIVERSITY · PI DE JESUS PEREZ, VINICIO A · 2018 to 2025
$4.7M
Anaplerotic reprogramming of endothelial cells in pulmonary hypertension.R01HL132918 · NHLBI · UNIVERSITY OF ARIZONA · PI RAFIKOV, RUSLAN · 2016 to 2025
$4.5M
Hemolysis and Free Heme Signaling in Pulmonary HypertensionR01HL151447 · NHLBI · UNIVERSITY OF ARIZONA · PI Ruslan Rafikov · 2020 to 2026
$4.3M
Mitochondrial Dysfunction in Pulmonary HypertensionR01HL160666 · NHLBI · UNIVERSITY OF ARIZONA · PI Olga Rafikova · 2022 to 2026
$3.3M
Pericytes and postnatal alveolarization: Role of hypoxia inducible factorsR01HL160018 · NHLBI · STANFORD UNIVERSITY · PI ALVIRA, CRISTINA MARIA, CORNFIELD, DAVID N. · 2022 to 2025
$2.6M
HMGBG1 and Gender Difference in Pulmonary Arterial HypertensionR01HL133085 · NHLBI · UNIVERSITY OF ARIZONA · PI RAFIKOVA, OLGA · 2016 to 2020
$1.9M
HIPK2 signaling in Pulmonary Arterial HypertensionR01HL166932 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Tatiana V Kudryashova · 2023 to 2026
$1.6M
American Heart Association-American Stroke Association 969574NHLBI NIH HHS HL132918NHLBI NIH HHS HL133085NHLBI NIH HHS HL134776NHLBI NIH HHS HL139664NHLBI NIH HHS HL151447NHLBI NIH HHS HL160018NHLBI NIH HHS HL160666NHLBI NIH HHS HL166932NHLBI NIH HHS HL59886NHLBI NIH HHS R01 HL132918NHLBI NIH HHS R01 HL133085NHLBI NIH HHS R01 HL134776NHLBI NIH HHS R01 HL139664NHLBI NIH HHS R01 HL151447NHLBI NIH HHS R01 HL160018NHLBI NIH HHS R01 HL160666NHLBI NIH HHS R01 HL166932
6 · The paper itself

Abstract

Expanding upon the critical advancements brought forth by single-cell omics in pulmonary hypertension (PH) research, this review delves deep into how these technologies have been piloted in a new era of understanding this complex disease. By leveraging the power of single-cell transcriptomics (i.e., single-cell RNA sequencing), researchers can now dissect the complicated cellular ecosystem of the lungs, examining the key players such as endothelial cells, smooth muscle cells, pericytes, and immune cells and their unique roles in the pathogenesis of PH. This more granular view is beyond the limitations of traditional bulk analysis, allowing for the identification of novel therapeutic targets previously obscured in the aggregated data. Connectome analysis based on single-cell omics of the cells involved in pathological changes can reveal a clearer picture of the cellular interactions and transitions in the cellular subtypes. Furthermore, the review acknowledges the challenges that lie ahead, including the need to enhance the resolution of single-cell RNA sequencing to capture even finer details of cellular changes, overcoming logistical barriers in processing human tissue samples, and the necessity of integrating diverse omics approaches to fully comprehend the molecular underpinnings of PH. The promise of these single-cell technologies is immense, offering the potential for targeted drug development and the discovery of biomarkers for early diagnosis and disease monitoring. Through these advancements, the field moves closer to realizing the goal of precision medicine for patients with PH.

Indexed as

GenomicsHypertension, PulmonarySingle-Cell Gene Expression AnalysisAnimalsHumansomicspulmonary arterial hypertensionsingle celltranscriptomics

Identifiers

PMID39141563
PMCPMC11707669

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.