Janus Kinase 2 Regulates Transcription Factor EB Expression and Autophagy Completion in Glomerular Podocytes
Bibliographic record
Abstract
The nonreceptor kinase Janus kinase 2 (JAK2) has garnered attention as a promising therapeutic target for the treatment of CKD. However, being ubiquitously expressed in the adult, JAK2 is also likely to be necessary for normal organ function. Here, we investigated the phenotypic effects of JAK2 deficiency. Mice in which JAK2 had been deleted from podocytes exhibited an elevation in urine albumin excretion that was accompanied by increased podocyte autophagosome fractional volume and p62 aggregation, which are indicative of impaired autophagy completion. In cultured podocytes, knockdown of JAK2 similarly impaired autophagy and led to downregulation in the expression of lysosomal genes and decreased activity of the lysosomal enzyme, cathepsin D. Because transcription factor EB (TFEB) has recently emerged as a master regulator of autophagosome-lysosome function, controlling the expression of several of the genes downregulated by JAK2 knockdown, we questioned whether TFEB is regulated by JAK2. In immortalized mouse podocytes, JAK2 knockdown decreased TFEB promoter activity, expression, and nuclear localization. In silico analysis and chromatin immunoprecipitation assays revealed that the downstream mediator of JAK2 signaling STAT1 binds to the TFEB promoter. Finally, overexpression of TFEB in JAK2-deficient podocytes reversed lysosomal dysfunction and restored albumin permselectivity. Collectively, these observations highlight the homeostatic actions of JAK2 in podocytes and the importance of TFEB to autophagosome-lysosome function in these cells. These results also raise the possibility that therapeutically modulating TFEB activity may improve podocyte health in glomerular disease.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".