Matrix metalloproteinase-7 promotes chronic kidney disease progression via the induction of inflammasomes and the suppression of autophagy
Bibliographic record
Abstract
Deposition of extracellular matrix (ECM), epithelial-mesenchymal transition (EMT) and inflammation are crucial processes in chronic kidney disease (CKD) progression. The matrix metalloproteinases (MMPs) belong to a major enzyme group of proteinases that are involved in ECM degradation. MMP controls multiple biological processes, such as cell proliferation, EMT and apoptosis. The present study identified the roles of MMP7 in CKD progression. We demonstrated the transcriptional profiles of MMPs in kidney tissues of CKD patients in the Gene Expression Omnibus (GEO) data repository. MMP7 mRNA level was markedly upregulated in kidney tissues of CKD patients. MMP7 overexpression activated the NLRP3 and NLRP6 inflammasomes and increased fibrosis-related proteins in kidney cells. MMP7 inhibited oxidative stress-induced apoptosis and rapamycin-induced autophagy. We found that MMP7 expression in the kidney was increased in various CKD animal models. Knockdown of MMP7 affected renal function and renal fibrosis in a folic acid-induced CKD model. The inhibition of MMP7 decreased fibrosis and NLRP3 and NLRP6 inflammasomes and induced autophagy in kidney tissues. Taken together, these results provide insight into targeting MMP7 as a therapeutic strategy for CKD.
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.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".