The EGFR tyrosine kinase inhibitor tyrphostin AG-1478 causes hypomagnesemia and cardiac dysfunction
Bibliographic record
Abstract
We determined whether the epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) N-(3-chlorophenyl)-6,7-dimethoxy-4-quinazolinamine (tyrphostin AG-1478) causes hypomagnesemia and cardiac dysfunction in rats. Tyrphostin was administered (3 times per week, intraperitoneal injection, to achieve 21.4 mg·(kg body mass)(-1)·day(-1)) to normomagnesemic rats for 5 weeks. Levels of magnesium in the plasma of the tyrphostin-treated rats decreased significantly by the following amount: 17% at week 1, 27% at week 2, and 26%-35% between weeks 3 to 5. Levels of the plasma lipid peroxidation marker 8-isoprostane rose significantly: by 58% at week 1, 168% at week 3, and 113% at week 5. At week 5, blood neutrophils from the tyrphostin-treated group displayed a 2.26-fold higher basal level of O(2)(·-) generation; the ratio of oxidized glutathione (glutathione disulfide; GSSG) to reduced glutathione (GSH) in the red blood cells increased 2.5-fold. At week 5, echocardiography revealed that TKI treatment resulted in significant cardiac systolic dysfunction, with impaired diastolic function and dilated cardiomyopathy. Since hypomagnesemia alone can trigger oxidative stress and cardiac injury, we suggest that inhibition of EGFR-TK caused magnesium wasting, which partly contributed to decreased cardiac contractility.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".