The Functions of Clusterin Expression in Renal Mesenchymal Stromal Cells: Regulation of Cell Proliferation and Macrophage Activation
Bibliographic record
Abstract
Abstract The expression of clusterin (CLU) in mice increases resistance to renal ischemia-reperfusion injury and promotes renal tissue repair. However, the mechanisms underlying of the renal protection of CLU remain largely unknown. Mesenchymal stromal cells (MSCs), found in different compartments of the kidney, may contribute to kidney cell turnover and injury repair. This study investigated the in vitro functions of CLU in kidney mesenchymal stromal cells (KMSCs). KMSCs were isolated by digestion of kidney tissues with collagenase type 1 and growth in plastic culture plates. Cell surface markers, apoptosis and phagocytosis were determined by flow cytometry, and CLU protein by Western blot. Here, we showed that KMSCs isolated from both wild type (WT) and CLU knockout (KO) mice positively expressed CD133, Sca-1, CD44, and CD117, and negatively of CD34, CD45, CD163, CD41, CD276, CD138 and CD79a. There was no difference in trilineage differentiation to chondrocytes, adipocytes and osteocytes between WT and KO KMSCs. CLU protein was expressed in and secreted by WT KMSCs, and it was up-regulated in response to hypoxia. However, lack of CLU expression did not negatively affect hypoxia-induced apoptosis in cultured KMSCs. The WT KMSCs proliferated faster than KO KMSCs in cultures. Furthermore, the incubation of macrophages with CLU-containing culture medium from WT KMSCs increased the CD206 expression in the macrophages and their phagocytic capacity. In conclusion, our data for the first time demonstrate the functions of CLU in the promotion of KMSCs proliferation, and may be required for KMSCs-regulated macrophage M2 polarization and phagocytic activity.
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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 | 0.001 |
| 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 | 0.001 |
| 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 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".