Potential of Sulphur-containing Amino Acids in the Prevention of Catecholamine-induced Arrhythmias
Bibliographic record
Abstract
BACKGROUND: Various physiological and pathological stimuli can hypersensitize the sympathetic nervous system resulting in a substantial release of catecholamines (CA) and consequent alterations in excitation-contraction coupling and excitation-transcription coupling. OBSERVATIONS: It has been shown that oxidation products of CA, rather than CA themselves, are responsible for such adaptation to a new equilibrium. While chronic, sustained accumulation of CA and their toxic products are associated with the depression in cardiac contractile force and remodeling, acute excessive release of CA can result in brief oxidative bursts and serious damage leading in lethal arrhythmias. In response to such oxidative stress, dysregulation of ion homeostasis, activation of neurohumoral system, immune and inflammatory responses, are augmented. These events are inter-related, and as a complex promote electrical instability. Likewise, remodeling occurring after the loss of cardiomyocytes, induces the development of a proarrhythmogenic environment. Thus, CA oxidation products may be involved in triggering arrhythmias as a result of both changes in cardiac cell automaticity and conduction velocity. In contrast, sulphur-containing amino acids (S-AA), in particular taurine and its precursor cysteine have been shown to modulate redox state of the heart. However, the multiple anti-oxidant properties of S-AA are unlikely to be exclusively responsible for their anti-arrhythmic action. They also possess additional cytoprotective effects which can stabilize electrical activity of the heart. CONCLUSION: It is concluded that specific S-AA may attenuate deleterious effects of supraphysiological levels of CA and this could serve as an important mechanism for the treatment and/or prevention of arrhythmogenesis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".