Cardiovascular disease in an adenine-induced model of chronic kidney disease
Bibliographic record
Abstract
OBJECTIVES: Medial vascular calcification is highly prevalent in chronic kidney disease (CKD), and it is a risk factor for mortality. This study characterizes the time course and the link between calcification of major arteries, changes in blood pressure (BP) and cardiac growth in experimental CKD. METHODS: CKD (elevated serum creatinine and urea) was induced with a 0.25% adenine diet (5, 8 and 11 weeks). BP was measured by radiotelemetry in conscious rats or indwelling catheter under anaesthesia. At each time point, serum biochemistry and tissue calcification was quantified. RESULTS: CKD was present in all animals by 5 weeks and the ensuing 6 weeks (11 weeks total). CKD animals developed elevated serum phosphate (5-8 weeks) and fibroblast growth factor-23 (FGF-23; 5-11 weeks) levels. There was a 100% incidence of calcification at 11 weeks, 71% at 8 weeks and 33% at 5 weeks, and distal arteries appeared more susceptible than proximal arteries. Calcification was associated with widening of pulse pressure (PP), and a higher pulse wave. Continuous radiotelemetry revealed a significant increase in SBP variability and an accelerated (<24 h) elevation in PP of at least 10 mmHg following 8 weeks of CKD. This precipitous change was driven by a drop in mean DBP rather than elevated mean SBP. PP, duration of CKD and FGF-23 levels correlated with left ventricular hypertrophy. CONCLUSION: The unique haemodynamic consequences of medial calcification, combined with the hormonal consequences of hyperphosphatemia (i.e. FGF-23), seem to have an exacerbated risk for left ventricular hypertrophy.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".