Evidence map›Paper›PMID 38853772›Full record

ArticleCirculation. Genomic and precision medicine2024

Integrating Clinical Phenotype With Multiomics Analyses of Human Cardiac Tissue Unveils Divergent Metabolic Remodeling in Genotype-Positive and Genotype-Negative Patients With Hypertrophic Cardiomyopathy.

Edgar E Nollet, Maike Schuldt, Vasco Sequeira, Aleksandra Binek, Thang V Pham, Stephan A C Schoonvelde, Mark Jansen, Bauke V Schomakers, Michel van Weeghel, Fred M Vaz and 9 more

Abstract read
In one paragraph

Article in Circulation. Genomic and precision medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Trial
  2. Combined Lipidomic and Metabolomic Analyses on Cardiac Organoids.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
  3. Review
  4. Review
  5. Article
  6. Choice of cardioplegia influences metabolomics of human cardiac tissue.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Article
  8. Article
  9. iScience · 2026
    Article
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  11. Article
  12. Article
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  14. Article
  15. Review
  16. Article
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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

19 authors.

Edgar E NolletDepartment of Physiology (E.E.N., M.S., D.W.D.K., J.v.d.V.), Amsterdam UMC, the Netherlands.ORCID 0000-0001-7047-2538
Maike SchuldtDepartment of Physiology (E.E.N., M.S., D.W.D.K., J.v.d.V.), Amsterdam UMC, the Netherlands.ORCID 0000-0001-9401-6190
Vasco SequeiraDepartment of Translational Science Universitätsklinikum, Deutsches Zentrum für Herzinsuffizienz, Würzburg, Germany (V.S.).ORCID 0000-0002-9192-7674
Aleksandra BinekAdvanced Clinical Biosystems Research Institute (A.B., J.E.V.E.), Cedars-Sinai Medical Center, Los Angeles, CA.ORCID 0000-0001-5764-7137
Thang V PhamDepartment of Medical Oncology, VUmc Cancer Center Amsterdam, OncoProteomics Laboratory (T.V.P., C.R.J.), Amsterdam UMC, the Netherlands.ORCID 0000-0003-0333-2492
Stephan A C SchoonveldeDepartment of Cardiology, Erasmus MC, Rotterdam, the Netherlands (S.A.C.S., M.M.).ORCID 0000-0001-6235-016X
Mark JansenDivision of Genetics and Department of Cardiology, UMC Utrecht, the Netherlands (M.J.).ORCID 0000-0002-0896-4440
Bauke V SchomakersLaboratory Genetic Metabolic Diseases (B.V.S., M.v.W., F.M.V., R.H.H.), Amsterdam UMC, the Netherlands.ORCID 0000-0002-0242-9113
Michel van WeeghelLaboratory Genetic Metabolic Diseases (B.V.S., M.v.W., F.M.V., R.H.H.), Amsterdam UMC, the Netherlands.ORCID 0000-0002-4916-2866
Fred M VazLaboratory Genetic Metabolic Diseases (B.V.S., M.v.W., F.M.V., R.H.H.), Amsterdam UMC, the Netherlands.ORCID 0000-0002-9048-1041
Riekelt H HoutkooperLaboratory Genetic Metabolic Diseases (B.V.S., M.v.W., F.M.V., R.H.H.), Amsterdam UMC, the Netherlands.ORCID 0000-0001-9961-0842
Jennifer E Van EykAdvanced Clinical Biosystems Research Institute (A.B., J.E.V.E.), Cedars-Sinai Medical Center, Los Angeles, CA.ORCID 0000-0001-9050-148X
Connie R JimenezDepartment of Medical Oncology, VUmc Cancer Center Amsterdam, OncoProteomics Laboratory (T.V.P., C.R.J.), Amsterdam UMC, the Netherlands.ORCID 0000-0002-3103-4508
Michelle MichelsDepartment of Cardiology, Erasmus MC, Rotterdam, the Netherlands (S.A.C.S., M.M.).ORCID 0000-0001-6432-0431
Kenneth C BediCardiovascular Institute, Perelman School of Medicine, Philadelphia, PA (K.C.B., K.B.M.).ORCID 0000-0003-3588-9324
Kenneth B MarguliesCardiovascular Institute, Perelman School of Medicine, Philadelphia, PA (K.C.B., K.B.M.).ORCID 0000-0002-8093-4465
Cristobal G Dos RemediosSydney Heart Bank, Discipline of Anatomy, Bosch Institute, University of Sydney, NSW, Australia (C.G.d.R.).ORCID 0000-0003-1052-7490
Diederik W D KusterDepartment of Physiology (E.E.N., M.S., D.W.D.K., J.v.d.V.), Amsterdam UMC, the Netherlands.ORCID 0000-0003-1498-6862
Jolanda van der VeldenDepartment of Physiology (E.E.N., M.S., D.W.D.K., J.v.d.V.), Amsterdam UMC, the Netherlands.ORCID 0000-0001-5224-5788

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertrophic cardiomyopathy (HCM) is caused by sarcomere gene mutations (genotype-positive HCM) in ≈50% of patients and occurs in the absence of mutations (genotype-negative HCM) in the other half of patients. We explored how alterations in the metabolomic and lipidomic landscape are involved in cardiac remodeling in both patient groups.

methodsWe performed proteomics, metabolomics, and lipidomics on myectomy samples (genotype-positive N=19; genotype-negative N=22; and genotype unknown N=6) from clinically well-phenotyped patients with HCM and on cardiac tissue samples from sex- and age-matched and body mass index-matched nonfailing donors (N=20). These data sets were integrated to comprehensively map changes in lipid-handling and energy metabolism pathways. By linking metabolomic and lipidomic data to variability in clinical data, we explored patient group-specific associations between cardiac and metabolic remodeling.

resultsHCM myectomy samples exhibited (1) increased glucose and glycogen metabolism, (2) downregulation of fatty acid oxidation, and (3) reduced ceramide formation and lipid storage. In genotype-negative patients, septal hypertrophy and diastolic dysfunction correlated with lowering of acylcarnitines, redox metabolites, amino acids, pentose phosphate pathway intermediates, purines, and pyrimidines. In contrast, redox metabolites, amino acids, pentose phosphate pathway intermediates, purines, and pyrimidines were positively associated with septal hypertrophy and diastolic impairment in genotype-positive patients.

conclusionsWe provide novel insights into both general and genotype-specific metabolic changes in HCM. Distinct metabolic alterations underlie cardiac disease progression in genotype-negative and genotype-positive patients with HCM.

Indexed as

Cardiomyopathy, HypertrophicGenotypePhenotypeAdultAgedEnergy MetabolismFemaleHumansLipid MetabolismLipidomicsMaleMetabolomicsMiddle AgedMultiomicsMyocardiumProteomicscardiomyopathiesgenotypehypertrophylipidomicsmetabolismmetabolomics

Identifiers

PMID38853772
PMCPMC11188634

What Socratic holds

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Registered trials

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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 Socratic graph.