Curcumin analogue C66 attenuates obesity-induced renal injury by inhibiting chronic inflammation
Bibliographic record
Abstract
Obesity has been recognized as a major risk factor for the development of chronic kidney disease, which is accompanied by increased renal inflammation, fibrosis, and apoptosis. C66 is a curcumin derivative that exerts anti-inflammatory effects by inhibiting the JNK pathway and prevents diabetic nephropathy. The present study investigates the possible protective effect of C66 on high-fat diet (HFD)-induced obesity-related glomerulopathy. Mice were fed with HFD for 8 weeks while some were treated with C66 every 2 days for 11 weeks. The HFD-fed mice developed renal dysfunction, as well as elevated triglyceride and cholesterol. Kidneys of the HFD-fed mice showed marked glomerular injuries, apoptosis, and inflammation with markedly increased cytokine production. Interestingly, treating HFD-fed mice with C66 remarkably reversed these pathological changes via inhibiting inflammation and NF-κB/JNK activation. In cultured mesangial cells, Palmitic Acid was able to activate the pro-fibrotic mechanisms, apoptosis, inflammatory response, and NF-κB and JNK signaling pathways, all of which could be attenuated by C66 treatment. In all, we demonstrated that curcumin analogue C66 attenuates obesity-induced renal injury by inhibiting chronic inflammation and apoptosis via targeting NF-κB and JNK. Our data suggest that C66 can be potentially used to prevent obesity-associated renal diseases warranting future investigations.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 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".