Therapeutic targeting of BET bromodomain protein, Brd4, delays cyst growth in ADPKD
Bibliographic record
Abstract
In this study, we identified a BET bromodomain (BRD) protein, Brd4, not only as a novel epigenetic regulator of autosomal dominant polycystic kidney disease (ADPKD) but also as a novel client protein of Hsp90. We found that Brd4 was upregulated in Pkd1 mutant mouse renal epithelial cells and tissues. This upregulation of Brd4 appears to result from the chaperone activity of Hsp90 and escape proteasomal degradation. We further identify that Brd4 is an upstream regulator of the expression of c-Myc which has been upregulated in all rodent models of PKD and ADPKD patients with unknown mechanism. Inhibition of Brd4 in Pkd1 mutant renal epithelial cells with JQ1, a selective small-molecular inhibitor of BET BRD protein(s), (1) decreased the levels of c-Myc mRNA and protein; (2) increased the levels of p21 mRNA and protein, which was transcriptionally repressed by c-Myc; (3) decreased the phosphorylation of Rb; and (4) decreased cystic epithelial cell proliferation as shown by inhibition of S-phase entry. Most importantly, treatment with JQ1 strikingly delayed cyst growth and kidney enlargement, and preserved renal function in two early stage genetic mouse strains with Pkd1 mutations. This study not only provides one of the mechanisms of how c-Myc is upregulated in PKD but also suggests that targeting Brd4 with JQ1 may function as a novel epigenetic approach in ADPKD. The unraveled link between Brd4 and Hsp90 in ADPKD may also be a general mechanism for the upregulation of Brd4 in cancer cells and opens up avenues for combination therapies against ADPKD and cancer.
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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 | 0.000 | 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 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".