Evidence map›Paper›PMID 35626711›Full record

ArticleCells2022

Metabolomic Profiling in Patients with Heart Failure and Exercise Intolerance: Kynurenine as a Potential Biomarker.

Tarek Bekfani, Mohamed Bekhite, Sophie Neugebauer, Steffen Derlien, Ali Hamadanchi, Jenny Nisser, Marion S Hilse, Daniela Haase, Tom Kretzschmar, Mei-Fang Wu and 8 more

Open access · goldAbstract read
In one paragraph

Article in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

19 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Impact of heart failure on skeletal muscle: an overview.Journal of geriatric cardiology : JGC · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Untargeted metabolomics unveils metabolic biomarkers in HFpEF.Frontiers in molecular biosciences · 2025
    Article
  13. Article
  14. Review
  15. Using Omics to Identify Novel Therapeutic Targets in Heart Failure.Circulation. Genomic and precision medicine · 2024
    Review
  16. The role of the kynurenine pathway in cardiovascular disease.Frontiers in cardiovascular medicine · 2024
    Review
  17. Article
  18. Review
  19. 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

18 authors at 5 institutions in 2 countries.

Tarek BekfaniDepartment of Internal Medicine I, Division of Cardiology, Angiology and Intensive Medical Care, University Hospital Magdeburg, Otto von Guericke-University, 39120 Magdeburg, Germany.
Mohamed BekhiteDepartment of Internal Medicine I, Division of Cardiology, Angiology and Intensive Medical Care, University Hospital Jena, Friedrich-Schiller-University, 07743 Jena, Germany.ORCID 0000-0003-0346-9181
Sophie NeugebauerDepartment of Clinical Chemistry and Laboratory Diagnostics, Jena University Hospital, 07743 Jena, Germany.
Steffen DerlienInstitute of Physiotherapy, University Hospital Jena, Friedrich-Schiller-University, 07743 Jena, Germany.
Ali HamadanchiDepartment of Internal Medicine I, Division of Cardiology, Angiology and Intensive Medical Care, University Hospital Jena, Friedrich-Schiller-University, 07743 Jena, Germany.
Jenny NisserInstitute of Physiotherapy, University Hospital Jena, Friedrich-Schiller-University, 07743 Jena, Germany.
Marion S HilseDepartment of Internal Medicine I, Division of Cardiology, Angiology and Intensive Medical Care, University Hospital Jena, Friedrich-Schiller-University, 07743 Jena, Germany.
Daniela HaaseDepartment of Internal Medicine I, Division of Cardiology, Angiology and Intensive Medical Care, University Hospital Jena, Friedrich-Schiller-University, 07743 Jena, Germany.
Tom KretzschmarDepartment of Internal Medicine I, Division of Cardiology, Angiology and Intensive Medical Care, University Hospital Jena, Friedrich-Schiller-University, 07743 Jena, Germany.ORCID 0000-0002-5296-3955
Mei-Fang WuDepartment of Internal Medicine I, Division of Cardiology, Angiology and Intensive Medical Care, University Hospital Jena, Friedrich-Schiller-University, 07743 Jena, Germany.
Michael LichtenauerClinic of Internal Medicine II, Department of Cardiology, Paracelsus Medical University of Salzburg, 5020 Salzburg, Austria.
Michael KiehntopfDepartment of Clinical Chemistry and Laboratory Diagnostics, Jena University Hospital, 07743 Jena, Germany.
Stephan von HaehlingDepartment of Cardiology and Pneumology, University of Göttingen Medical Center, 37075 Göttingen, Germany.
Peter SchlattmannInstitute for Medical Statistics, Computer Science and Data Science (IMSID), Jena University Hospital, 07743 Jena, Germany.ORCID 0000-0001-7420-7707
Gabriele LehmannDepartment of Internal Medicine III, Division of Endocrinology, Nephrology and Rheumatology, University Hospital Jena, Friedrich-Schiller-University, 07743 Jena, Germany.
Marcus FranzDepartment of Internal Medicine I, Division of Cardiology, Angiology and Intensive Medical Care, University Hospital Jena, Friedrich-Schiller-University, 07743 Jena, Germany.ORCID 0000-0001-6543-4684
Sven Möbius-WinklerDepartment of Internal Medicine I, Division of Cardiology, Angiology and Intensive Medical Care, University Hospital Jena, Friedrich-Schiller-University, 07743 Jena, Germany.ORCID 0000-0003-1319-6738
Christian SchulzeDepartment of Internal Medicine I, Division of Cardiology, Angiology and Intensive Medical Care, University Hospital Jena, Friedrich-Schiller-University, 07743 Jena, Germany.
Friedrich Schiller University Jena · DEJena University Hospital · DEGerman Centre for Cardiovascular Research · DEUniversity Hospital Magdeburg · DEUniversity of Salzburg · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Metabolic and structural perturbations in skeletal muscle have been found in patients with heart failure (HF) both with preserved (HFpEF) and reduced (HFrEF) ejection fraction in association with reduced muscle endurance (RME). We aimed in the current study to create phenotypes for patients with RME and HFpEF compared to RME HFrEF according to their metabolomic profiles and to test the potential of Kynurenine (Kyn) as a marker for RME. Methods: Altogether, 18 HFrEF, 17 HFpEF, and 20 healthy controls (HC) were prospectively included in the current study. The following tests were performed on all participants: isokinetic muscle function tests, echocardiography, spiroergometry, and varied blood tests. Liquid chromatography tandem mass spectrometry was used to quantify metabolites in serum. Results: Except for aromatic and branched amino acids (AA), patients with HF showed reduced AAs compared to HC. Further perturbations were elevated concentrations of Kyn and acylcarnitines (ACs) in HFpEF and HFrEF patients (p < 0.05). While patients with HFpEF and RME presented with reduced concentrations of ACs (long- and medium-chains), those with HFrEF and RME had distorted AAs metabolism (p < 0.05). With an area under the curve (AUC) of 0.83, Kyn shows potential as a marker in HF and RME (specificity 70%, sensitivity 83%). In a multiple regression model consisting of short-chain-ACs, spermine, ornithine, glutamate, and Kyn, the latest was an independent predictor for RME (95% CI: −13.01, −3.30, B: −8.2 per 1 µM increase, p = 0.001). Conclusions: RME in patients with HFpEF vs. HFrEF proved to have different metabolomic profiles suggesting varied pathophysiology. Kyn might be a promising biomarker for patients with HF and RME.

Indexed as

Heart FailureBiomarkersHumansKynurenineMetabolomicsStroke VolumeBiomarkersKynurenineheart failurekynureninemetabolomic profileskeletal muscle endurance

Identifiers

PMID35626711
PMCPMC9139290
OpenAlexW4280501748

What OpenQuestion 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 OpenQuestion graph.