Biological Actions and Metabolism of Currently Used Pharmacological Agents for the Treatment of Congestive Heart Failure
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Congestive heart failure (CHF), a complex clinical syndrome with impaired cardiac pump function, occurs as a consequence of mechanical deformities (pressure and volume overload), myocardial abnormalities (neurohormonal disorders, myocarditis, cardiomyopathies, inflammation and loss of cardiomyocytes) and rhythmic defects (conduction disturbances, fibrillation and tachycardia). Several studies have demonstrated that chronic activation of sympathetic and renin-angiotensin systems, alteration in myocardial substrate utilization, increase in intracellular Ca(2+) concentration, development of oxidative stress, release of pro-inflammatory cytokines and increased production of endothelin are responsible for the maladaptive cardiac and subcellular remodeling depending upon the type and stage of heart failure. A variety of pharmacological agents have been used to prevent the development and progression of CHF under different experimental and clinical settings. Although these drugs belong to specific classes, depending on their mechanism of action, individual drug biotransformation into different metabolites makes them distinct chemical moieties. Thorough understanding of biological effects of these pharmacological agents and metabolism is necessary to establish the basis for their preeminent use in clinical settings. The purpose of this review is to present a mechanistic understanding for the biological activities of different drugs used to treat CHF and to provide an insight of different metabolites formed after biotransformation of these chemical entities. Since development of CHF is a multifactorial and heterogeneous process, induction of combination regimens and improvement in patient compliance are the major challenges for future drug development.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it