Cardiac Troponin T Is Not Detected in Western Blots of Diseased Renal Tissue
Bibliographic record
Abstract
Recent publications of consensus documents for the redefinition of myocardial infarction are heavily predicated on the role of increases in cardiac troponin (I or T) in serum in the setting of ischemic symptoms (1)(2)(3)). Cardiac troponin T (cTnT) has also been reported to be a predictor of mortality in patients with end stage renal disease (4)(5). An unexplained increase in the frequency of increased serum cTnT compared with serum cardiac troponin I has been described in these patients (6)(7). Explanations advanced for this difference include the possibility of nonspecific reactions in the cTnT assay or de novo expression of cTnT in skeletal muscle of renal diseased patients that is subsequently released into the serum (8). However, recent studies on skeletal muscle from renal disease patients have shown that although the two antibodies used in the cTnT diagnostic assay (M7 and M11.7) individually bind to muscle proteins, this would not cause false-positive results in the current-generation cTnT assay marketed by Roche (8). On the other hand, cardiac troponin I is not expressed in fetal or in healthy or diseased adult human skeletal tissue (9). An additional possibility is that cTnT or other immunoreactive proteins are being expressed in diseased renal tissue. In the current study, we report evidence, using the two monoclonal antibodies from the third-generation Roche cTnT immunoassay, that diseased renal tissue is not the tissue source of circulating cTnT in acute and chronic renal diseased patients.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".