Interaction between the regulatory domain of cardiac troponin C and the acidosis-resistant cardiac troponin I A162H
Bibliographic record
Abstract
AIMS: Ischaemic heart disease is the leading cause of mortality worldwide. Acidosis is the main mediator of ischaemia and shielding against it might be possible. In this study, we characterize the nature of interaction between the regulatory domain of cardiac troponin C and the A162H-substituted cardiac troponin I (cTnI) that confers protection against acidosis. METHODS AND RESULTS: We used nuclear magnetic resonance spectroscopy to study the interaction of the Ca(2+)-saturated N-domain of cardiac troponin C with the switch region of cTnI containing the A162H substitution under normal and acidic conditions. Our results show that H162 increases the affinity of TnI for troponin C at pH 7 and this affinity is further enhanced at pH 6. To investigate the nature of the interactions responsible for such improvement, we determined the acid dissociation constants of the glutamate residues in troponin C. The results show that E15 and E19 exhibit deviations in their acid dissociation constant (pK(a)) profiles and reflect a common high pK(a) value of 6.8, indicating electrostatic interactions with H162. Residue H171 in wild-type cTnI does not play a similar role. CONCLUSION: This work provides evidence for the mechanism by which cTnI A162H improves myocardial performance during acidosis. The electrostatic interaction between residues E15 and E19 in troponin C and H162 in TnI at low pH is responsible for stabilizing the conformation of troponin C that leads to contraction, thus partially ablating the decreased Ca(2+)-sensitivity caused by acidosis.
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How this classification was reachedexpand
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 | 0.017 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".