ReviewEuropean journal of clinical pharmacology2014
Novel drug targets in clinical development for heart failure.
Review in European journal of clinical pharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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.
Who cites it
9 citing papers in PubMed, 22 citations in OpenAlex.
- Trial
- The recent advance and prospect of natural source compounds for the treatment of heart failure.Heliyon · 2024Review
- Novelties in the pharmacological approaches for chronic heart failure: new drugs and cardiovascular targets.Frontiers in cardiovascular medicine · 2023Review
- Development and validation of a clinical predictive model for 1-year prognosis in coronary heart disease patients combine with acute heart failure.Frontiers in cardiovascular medicine · 2022Article
- A transitive perspective on the relief of psychosomatic symptoms.Frontiers in psychology · 2022Review
- Cross-Talk between Mechanosensitive Ion Channels and Calcium Regulatory Proteins in Cardiovascular Health and Disease.International journal of molecular sciences · 2021Review
- Discovery of Novel Multi-target Inhibitor of angiotensin type 1 receptor and neprilysin inhibitors from Traditional Chinese Medicine.Scientific reports · 2019Article
- Developing Drugs for Heart Failure With Reduced Ejection Fraction: What Have We Learned From Clinical Trials?Clinical pharmacology and therapeutics · 2018Review
- Prediction model of in-hospital mortality in elderly patients with acute heart failure based on retrospective study.Journal of geriatric cardiology : JGC · 2017Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHeart Failure continues to be a leading cause of mortality and morbidity worldwide. The dismal prognosis of patients in acute heart failure (AHF) can be altered only by exploring novel drug molecules. Although the treatment for chronic heart failure (CHF) has seen remarkable progress, there is still a need to develop molecules that could improve the long-term survival outcomes. PURPOSE: To review the drug targets for acute and chronic heart failure and the molecules acting on these targets.
methodsThe article discusses on the mechanism of how the potential drug targets can be modulated to alter the pathophysiological processes in heart failure. Current evidence on molecules acting on these targets has also been described from published literature using the PubMed and Clinical Trials.gov databases.
resultsSome of the molecules that are currently being explored for AHF includeomecamtiv mecarbil which activates cardiac myosin ATPase, istaroxime an ionotropicagent that activates SERCA2a pump activity, ularitide and carperitide which are ANP(atrial natriuretic peptide) analogues and recombinant relaxin. Some of the targets forCHF include stabilization of ryanodine receptors, renin inhibition, neprilysin inhibition, neuregulins and SERCA2a gene therapy.
conclusionClinical trials in heart failure must be designed to minimize the risk of "drug failures." Nevertheless, it is hoped that in the days to come, drugs with superior efficacy and safety will eventually be produced from the surge of molecules that are in the pipeline.
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Registered trials
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.