Urinary monocyte chemotactic protein 1: marker of renal function decline in diabetic and nondiabetic proteinuric renal disease
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Reliable biomarkers are needed to identify patients with glomerular disease at risk of progression. Transforming growth factor beta 1 (TGF-β1) and monocyte chemotactic protein 1 (MCP-1) play key roles in promoting renal tissue injury. Whether their urinary measurement adds value to current predictors of progression is uncertain. METHODS: We enrolled patients with diabetic (n=53) and nondiabetic (n=47) proteinuric renal disease and retrospectively studied their rate of renal function decline over a defined period of 2 years. We simultaneously measured urinary protein, MCP-1 and TGF-β1, standardized to urinary creatinine. RESULTS: The initial estimated glomerular filtration rate, proteinuria and rate of renal function decline (slope) were 36 ml/min per 1.73 m2, 1.1 g/day and -4.0 ± 7.2 ml/ min per 1.73 m2 year. Median urinary TGF-β1 and MCP- 1 levels were 0.3 (range 0.0-28.1) and 18 (range 3-370) ng/mmol of creatinine, respectively. Urinary protein and MCP-1 to creatinine ratios were associated with slope, and this applied to both diabetic and nondiabetic patients separately. Urinary TGF-β1 showed no relation to slope. However, the majority of its measurements were below the suggested reproducibility threshold. Using linear regression, both normalized urinary protein and MCP-1 were independently associated with the slope. Adding urinary MCP-1 to the model statistically raised the adjusted R2 from 0.35 to 0.40, refining patient risk stratification. Using cutoffs for urinary protein and MCP-1 obtained by receiver operating characteristic curves, the risk of progression was confidently determined in 80% of patients. CONCLUSION: Urinary MCP-1 is a marker of renal function decline in diabetic and nondiabetic proteinuric renal disease, independent of and additive to proteinuria.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 it