Elevated Urinary CCL2
Bibliographic record
Abstract
BACKGROUND: We have demonstrated that 6-month urinary CCL2: Cr is a predictor of interstitial fibrosis and tubular atrophy (IFTA) on 24-month biopsy and death-censored graft loss. However, IFTA is no longer considered prognostically significant, whereas patients with graft loss frequently have interstitial fibrosis and inflammation (IF+i=ci>0+i>0). As early CCL2: Cr predicts late graft loss, the goal of this study was to determine if 6-month urinary CCL2: Cr was a predictor of IF+i at 24 months. METHODS: Urinary CCL2 at 6 months was measured with ELISA and correlated with IF+i on 24-month surveillance biopsies from a prospective, multicenter adult renal transplant cohort (n=111). RESULTS: Six-month urinary CCL2: Cr was significantly higher in IF+i and transplant glomerulopathy patients compared with normal histology at 24 months. By multivariate analysis, 6-month urinary CCL2: Cr was independently correlated with IF+i at 24 months (OR 2.78, 95% CI 1.38-6.12, AUC 0.695, P=0.003). Six-month urinary CCL2: Cr was also an independent correlate of 6-month IF+i (OR 1.99, 95% CI 1.03-4.18, AUC 0.63, P=0.04). Six-month urinary CCL2: Cr distinguished noninflamed renal tissue (normal, fibrosis) from IF+i with a sensitivity/specificity of 0.71/0.62 at a cutoff of 15 ng CCL2/mmol Cr (AUC 0.695, P=0.003, n=91). CONCLUSIONS: Urinary CCL2: Cr may be useful for the noninvasive identification of patients with or at risk for IF+i. These patients may benefit from avoidance of drug minimization/withdrawal protocols and more intensive post-transplant surveillance. Furthermore, urinary CCL2: Cr may also identify individuals who may benefit from novel interventional trials targeting IF+i.
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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 | 0.000 | 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) | 0.000 | 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".