Evidence map›Paper›PMID 35482834›Full record

ReviewCirculation research2022

The Latest in Animal Models of Pulmonary Hypertension and Right Ventricular Failure.

Olivier Boucherat, Vineet Agrawal, Allan Lawrie, Sebastien Bonnet

Open access · greenAbstract readReview
In one paragraph

Review in Circulation research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed, 1 pooled it
11.6field-weighted citation impact, top 1% of its field
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

119 citing papers in PubMed, 1 synthesis or guideline pooled it, 78 citations in OpenAlex.

  1. Methods for establishing animal models of persistent pulmonary hypertension of the newborn: A systematic literature analysis.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences
    Pooled it
  2. Article
  3. Article
  4. Comment on The renin-angiotensin system in models of pulmonary arterial hypertension vs primary hypertension.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Large animal models of right heart failure due to pulmonary hypertension: a bridge to translational success.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Murine Aortopulmonary Shunt Model of Flow-Driven Pulmonary Hypertension-Brief Report.Arteriosclerosis, thrombosis, and vascular biology · 2026
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

59 more citing papers are in PubMed but not listed here.

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

4 authors at 3 institutions in 3 countries.

Olivier Boucherat *Pulmonary Hypertension Research Group, Centre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Québec, Canada (O.B., S.B.).ORCID 0000-0002-5251-7488
Vineet Agrawal *Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (V.A.).
Allan Lawrie *Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, United Kingdom (A.L.).ORCID 0000-0003-4192-9505
Sebastien Bonnet *Pulmonary Hypertension Research Group, Centre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Québec, Canada (O.B., S.B.).ORCID 0000-0001-5753-1900
Institut universitaire de cardiologie et de pneumologie de Québec · CAInsigneo · GBVanderbilt University Medical Center · US

Funding

A Pathogenic Role for Natriuretic Peptide Receptor-C in Pulmonary Hypertension and Heart Failure with Preserved Ejection FractionK08HL153956 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI AGRAWAL, VINEET · 2021 to 2022
$317k
BLRD VA IK2 BX005828British Heart Foundation FS/18/52/33808NHLBI NIH HHS K08 HL153956
6 · The paper itself

Abstract

Pulmonary hypertension (PH) describes heterogeneous population of patients with a mean pulmonary arterial pressure >20 mm Hg. Rarely, PH presents as a primary disorder but is more commonly part of a complex phenotype associated with comorbidities. Regardless of the cause, PH reduces life expectancy and impacts quality of life. The current clinical classification divides PH into 1 of 5 diagnostic groups to assign treatment. There are currently no pharmacological cures for any form of PH. Animal models are essential to help decipher the molecular mechanisms underlying the disease, to assign genotype-phenotype relationships to help identify new therapeutic targets, and for clinical translation to assess the mechanism of action and putative efficacy of new therapies. However, limitations inherent of all animal models of disease limit the ability of any single model to fully recapitulate complex human disease. Within the PH community, we are often critical of animal models due to the perceived low success upon clinical translation of new drugs. In this review, we describe the characteristics, advantages, and disadvantages of existing animal models developed to gain insight into the molecular and pathological mechanisms and test new therapeutics, focusing on adult forms of PH from groups 1 to 3. We also discuss areas of improvement for animal models with approaches combining several hits to better reflect the clinical situation and elevate their translational value.

Indexed as

Heart FailureHypertension, PulmonaryAnimalsDisease Models, AnimalHumansQuality of Lifebiomedicalmorbiditypulmonary arterial hypertensiontranslational researchvascular remodelingvasoconstriction

Identifiers

PMID35482834
PMCPMC9060385
OpenAlexW4225154555

What Socratic holds

Textmetadata
LicenceTDM
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.