Evidence map›Paper›PMID 40129519›Full record

ReviewJournal of molecular and cellular cardiology plus2025

Innovations in heart failure management: The role of cutting-edge biomarkers and multi-omics integration.

Jose Mesquita Bastos, Beatriz Colaço, Rui Baptista, Cristina Gavina, Rui Vitorino

Abstract readReview
In one paragraph

Review in Journal of molecular and cellular cardiology plus, 2025. 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. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Heart Failure with Preserved Ejection Fraction: Challenges and Current Approaches.Research in heart yield and translational medicine · 2026
    Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Biomarkers in Heart Failure: A Review and a Wish.International journal of molecular sciences · 2025
    Review
  17. Prognostic Models in Heart Failure: Hope or Hype?Journal of personalized medicine · 2025
    Review
  18. Review
  19. Review
  20. 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.

Jose Mesquita BastosDepartment of Medical Sciences, Institute of Biomedicine iBiMED, University of Aveiro, 3810-193 Aveiro, Portugal.
Beatriz ColaçoDepartment of Medical Sciences, Institute of Biomedicine iBiMED, University of Aveiro, 3810-193 Aveiro, Portugal.
Rui BaptistaDepartment of Cardiology, Centro Hospitalar de Entre o Douro e Vouga, Santa Maria da Feira, Portugal.
Cristina GavinaPedro Hispano Hospital - ULS Matosinhos, Matosinhos, Portugal.
Rui VitorinoDepartment of Medical Sciences, Institute of Biomedicine iBiMED, University of Aveiro, 3810-193 Aveiro, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart failure (HF) remains a major cause of morbidity and mortality worldwide and represents a major challenge for diagnosis, prognosis and treatment due to its heterogeneity. Traditional biomarkers such as BNP and NT-proBNP are valuable but insufficient to capture the complexity of HF, especially phenotypes such as HF with preserved ejection fraction (HFpEF). Recent advances in multi-omics technology and novel biomarkers such as cell-free DNA (cfDNA), microRNAs (miRNAs), ST2 and galectin-3 offer transformative potential for HF management. This review explores the integration of these innovative biomarkers into clinical practice and highlights their benefits, such as improved diagnostic accuracy, enhanced risk stratification and non-invasive monitoring capabilities. By leveraging multi-omics approaches, including lipidomics and metabolomics, clinicians can uncover new pathways, refine the classification of HF phenotypes, and develop personalized therapeutic strategies tailored to individual patient profiles. Remarkable advances in proteomics and metabolomics have identified biomarkers associated with key HF mechanisms such as mitochondrial dysfunction, inflammation and fibrosis, paving the way for targeted therapies and early interventions. Despite the promising results, significant challenges remain in translating these findings into routine care, including high costs, technical limitations and the need for large-scale validation studies. This report argues for an integrative, multi-omics-based model to overcome these obstacles and emphasizes the importance of collaboration between researchers, clinicians and policy makers. By linking innovative science with practical applications, multi-omics approaches have the potential to redefine HF management and lead to better patient outcomes and more sustainable healthcare systems.

Indexed as

Advanced bioinformaticsBiomarkersData complexityDiagnostic toolsLipidomicsMetabolomicsMulti-omicsPersonalized medicineProteomics

Identifiers

PMID40129519
PMCPMC11930597

What Socratic holds

Textmetadata
LicenceCC BY
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.