Monocyte- and Endothelial-Derived Microparticles Induce an Inflammatory Phenotype in Human Podocytes
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND/AIMS: Proteinuria is associated with cardiovascular and chronic kidney disease. Microparticles (MPs) are bioactive vesicles shed from activated cells and also linked to cardiovascular disease. MP-like structures have been identified in the glomerular basement membrane, urinary space and between the glomerular basement membrane and the podocyte. We hypothesised that circulating MPs may provide a link between vascular injury and kidney diseases by inducing podocyte phenotypic alterations, thus propagating glomerular dysfunction and proteinuria. METHODS: Human umbilical vein endothelial cells and U937 monocytes were stimulated with TNF-α to produce MPs. These MPs were confirmed by electron microscopy, and added to differentiated podocyte monolayers to determine effects on podocyte albumin endocytosis and the production of soluble mediators. RESULTS: Monocyte and endothelial MPs upregulated podocyte production of pro-inflammatory mediators monocyte chemoattractant protein-1 (p < 0.001) and interleukin-6 (p < 0.001). Only monocyte MPs upregulated podocyte secretion of VEGF (p < 0.001), known to regulate glomerular permeability. Endothelial MPs decreased podocyte albumin endocytosis by 13% compared to control cells (p < 0.01). CONCLUSION: MPs alter endocytic functions of podocytes and induce secretion of pro-inflammatory cytokines, potentially leading to glomerular inflammation in vivo and the development of proteinuria. This study identifies a potential pathophysiological role for circulating MPs in the kidney through effects on the podocyte.
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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 it