Evidence mapPaperPMID 39198624Full record

ReviewNature reviews. Cardiology2025

Pathophysiological insights into HFpEF from studies of human cardiac tissue.

Ahmed U Fayyaz, Muhammad Eltony, Larry J Prokop, Katlyn E Koepp, Barry A Borlaug, Surendra Dasari, Melanie C Bois, Kenneth B Margulies, Joesph J Maleszewski, Ying Wang and 1 more

Abstract readReview
In one paragraph

Review in Nature reviews. Cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Trial
  2. Review
  3. A Novel Pak1 Activator Ameliorates ER Stress for HFpEF Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
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  17. Article
  18. Review
  19. Review
  20. c-Myc: an emerging participant in heart failure.Frontiers in cardiovascular medicine · 2026
    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

11 authors.

Ahmed U FayyazDepartment of Cardiovascular Disease, Division of Circulatory Failure, Mayo Clinic, Rochester, MN, USA.
Muhammad EltonyDepartment of Cardiovascular Disease, Division of Circulatory Failure, Mayo Clinic, Rochester, MN, USA.ORCID 0009-0009-5253-4411
Larry J ProkopMayo Clinic College of Medicine and Science, Library Reference Service, Rochester, MN, USA.
Katlyn E KoeppDepartment of Cardiovascular Disease, Division of Circulatory Failure, Mayo Clinic, Rochester, MN, USA.
Barry A BorlaugDepartment of Cardiovascular Disease, Division of Circulatory Failure, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0001-9375-0596
Surendra DasariMayo Clinic College of Medicine and Science, Computational Biology, Rochester, MN, USA.
Melanie C BoisDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Kenneth B MarguliesCardiovascular Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-8093-4465
Joesph J MaleszewskiDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Ying WangDepartment of Cardiovascular Disease, Division of Circulatory Failure, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-7852-386X
Margaret M RedfieldDepartment of Cardiovascular Disease, Division of Circulatory Failure, Mayo Clinic, Rochester, MN, USA. redfield.margaret@mayo.edu.

Funding

CARDIOVASOLOGYT32HL007111 · MAYO CLINIC ROCHESTER · 1985 to 2025
$2.4M
Pulmonary Hypertension in Left Heart DiseaseR01HL162828 · MAYO CLINIC ROCHESTER · 2025 to 2025
$790k
Mechanisms of Hereditary PancreatitisR01DK117910 · MAYO CLINIC JACKSONVILLE · 2025 to 2025
$690k
Mayo Clinic HeartShare Clinical CenterU01HL160226 · MAYO CLINIC ROCHESTER · 2025 to 2025
$281k
NHLBI NIH HHS R01 HL128526NHLBI NIH HHS R01 HL148339NHLBI NIH HHS R01 HL149891NHLBI NIH HHS R01 HL162828NHLBI NIH HHS T32 HL007111NHLBI NIH HHS U01 HL160226NIDDK NIH HHS R01 DK117910US Department of Defense W81XWH2210245
6 · The paper itself

Abstract

Heart failure with preserved ejection fraction (HFpEF) is a major, worldwide health-care problem. Few therapies for HFpEF exist because the pathophysiology of this condition is poorly defined and, increasingly, postulated to be diverse. Although perturbations in other organs contribute to the clinical profile in HFpEF, altered cardiac structure, function or both are the primary causes of this heart failure syndrome. Therefore, studying myocardial tissue is fundamental to improve pathophysiological insights and therapeutic discovery in HFpEF. Most studies of myocardial changes in HFpEF have relied on cardiac tissue from animal models without (or with limited) confirmatory studies in human cardiac tissue. Animal models of HFpEF have evolved based on theoretical HFpEF aetiologies, but these models might not reflect the complex pathophysiology of human HFpEF. The focus of this Review is the pathophysiological insights gained from studies of human HFpEF myocardium. We outline the rationale for these studies, the challenges and opportunities in obtaining myocardial tissue from patients with HFpEF and relevant comparator groups, the analytical approaches, the pathophysiological insights gained to date and the remaining knowledge gaps. Our objective is to provide a roadmap for future studies of cardiac tissue from diverse cohorts of patients with HFpEF, coupling discovery biology with measures to account for pathophysiological diversity.

Indexed as

Heart FailureMyocardiumStroke VolumeVentricular Function, LeftAnimalsDisease Models, AnimalHumans

Identifiers

PMID39198624
PMCPMC11750620

What Socratic holds

Textmetadata
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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.