S100/Calgranulin-Mediated Inflammation Accelerates Left Ventricular Hypertrophy and Aortic Valve Sclerosis in Chronic Kidney Disease in a Receptor for Advanced Glycation End Products–Dependent Manner
Bibliographic record
Abstract
OBJECTIVE: S100A12 and fibroblast growth factor 23 are biomarkers of cardiovascular morbidity and mortality in patients with chronic kidney disease (CKD). We tested the hypothesis that human S100/calgranulin would accelerate cardiovascular disease in mice subjected to CKD. APPROACH AND RESULTS: A bacterial artificial chromosome of the human S100/calgranulin gene cluster containing the genes and regulatory elements for S100A8, S100A9, and S100A12 was expressed in C57BL/6J mouse (hBAC-S100) to generate a novel humanized mouse model. CKD was induced by ureteral ligation, and hBAC-S100 mice and wild-type mice were studied after 10 weeks of chronic uremia. hBAC-S100 mice with CKD showed increased fibroblast growth factor 23 in the hearts, left ventricular hypertrophy, diastolic dysfunction, focal cartilaginous metaplasia, and calcification of the mitral and aortic valve annulus together with aortic valve sclerosis. This phenotype was not observed in wild-type mice with CKD or in hBAC-S100 mice lacking the receptor for advanced glycation end products with CKD, suggesting that the inflammatory milieu mediated by S100/receptor for advanced glycation end products promotes pathological cardiac hypertrophy in CKD. In vitro, inflammatory stimuli including interleukin-6, tumor necrosis factor-α, lipopolysaccarides, or serum from hBAC-S100 mice upregulated fibroblast growth factor 23 mRNA and protein in primary murine neonatal and adult cardiac fibroblasts. CONCLUSIONS: Myeloid-derived human S100/calgranulin is associated with the development of cardiac hypertrophy and ectopic cardiac calcification in a receptor for advanced glycation end products-dependent manner in a mouse model of CKD. We speculate that fibroblast growth factor 23 produced by cardiac fibroblasts in response to cytokines may act in a paracrine manner to accelerate left ventricular hypertrophy and diastolic dysfunction in hBAC-S100 mice with CKD.
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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 | 0.000 | 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) | 0.001 | 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".