High glucose induces macrophage inflammatory protein-3 in renal proximal tubule cells via a transforming growth factor- 1 dependent mechanism
Bibliographic record
Abstract
BACKGROUND: Hyperglycaemia is a causative factor in the pathogenesis of diabetic nephropathy, known to induce chemokines in the kidney. Macrophage inflammatory protein-3 alpha (MIP-3 alpha) is a CC chemokine that has been reported to attract memory T lymphocytes. Our previous microarray study showed significant increased level of MIP-3 alpha in high glucose-induced transcriptional profile in renal proximal tubule cells. Transforming growth factor-beta1 (TGF-beta1) is a key regulator in inflammation and fibrosis in diabetes mellitus setting. METHODS: This study aimed to determine the role of TGF beta 1 in high glucose-induced MIP-3 alpha expression. An in vitro model of human proximal tubular cells (HK-2 cells) and an in vivo model of the transgenic (mRen-2)27 diabetic rat, well characterized as a model of human diabetic nephropathy, were used. Small interfering RNA technology was used to silence TGF-beta1 gene in HK-2 cells and subsequent experiments were performed to measure mRNA and protein levels of MIP-3 alpha using real time reverse transcription-polymerase chain reaction (RT-PCR) and enzyme-linked immunosorbent assay (ELISA). Immunohistochemistry was used to measure the protein level of MIP-3 alpha and CD3 a marker of T lymphocytes in the in vivo model. RESULTS: MIP-3 alpha mRNA and protein expression was increased in HK-2 cells by high glucose and TGF-beta1. MIP-3 alpha was up-regulated in the dilated tubules of diabetic rats compared with non-diabetic control animals and CD3 was found to be present around the dilated tubules expressing MIP-3 alpha. This up-regulation was attenuated in the presence of an angiotensin-converting enzyme (ACE) inhibitor. MIP-3 alpha expression significantly decreased in cells in which the TGF-beta1 gene was silenced using small interfering RNA. Furthermore, exposure to high glucose did not induce MIP-3 alpha expression in TGF-beta1 gene silenced cells compared with wild-type cells. CONCLUSIONS: In summary, we have uniquely demonstrated that high glucose increases MIP-3 alpha through a TGF beta 1 dependent pathway, suggesting the centrality of TGF-beta1 in both the inflammatory and previously demonstrated fibrotic responses in diabetic nephropathy.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".