High urinary <scp>CXCL10</scp>/Cr with onset of Burkitt lymphoma in a pediatric kidney transplant recipient
Bibliographic record
Abstract
BACKGROUND: Urinary CXCL10/Cr is a promising diagnostic tool for early detection of TCMR in pediatric transplant recipients, and most studies focus on its utility in the context of localized allograft inflammation thus far. Other sources of inflammation that may be detected by CXCL10 are less clear. METHODS: We present a case review of a patient with BL, who was enrolled in a prospective trial of urinary CXCL10 monitoring. To evaluate the potential confounding, we tested for association of CXCL10/Cr and EBV viral load in a prospective cohort of pediatric transplant recipients with serial testing for urinary CXCL10/Cr. RESULTS: This report describes a 15-year-old boy, 3.5 years post-transplant with chronic EBV viremia, stable kidney function and no history of rejection. Urinary CXCL10/Cr level increased acutely to 79.43 ng/mmol, 0.8 months prior to onset of BL, identified by a surge in EBV viral load. In a national cohort of 97 pediatric kidney transplant recipients, there was no association between urinary CXCL10/Cr with EBV viral loads when comparing periods of pre-viremia (5.8 ± 9.2 ng/mmol) to active viremia (4.0 ± 5.3 ng/mmol) and periods of active viremia (7.1 ± 8.9 ng/mmol) to post-viremia (4.4 ± 9.8 ng/mmol). CONCLUSIONS: Acute rise in urinary CXCL10/Cr was associated with onset of graft-associated BL. We were not able to confirm a general association of EBV viral load and urinary CXCL10. As non-invasive monitoring is implemented using biomarkers like CXCL10 in the clinic, attention will be needed to identify other uncommon, potential sources of CXCL10 elevation.
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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 | 0.001 | 0.002 |
| 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".