SP600125 decreases cAMP/PKA-dependent steroid production through ATF4/DDIT3 activation in MA-10 Leydig cells
Bibliographic record
Abstract
Leydig cells, located between seminiferous tubules within the testis, are the primary source of testosterone in males. In these cells, the luteinizing hormone (LH)/cAMP/protein kinase A (PKA) signaling pathway mainly regulates androgen biosynthesis. We have previously reported that the connexin43 (Gja) promoter can be activated in mouse MA-10 Leydig cells as a result of a cooperation between the AP-1 transcription factors JUN and FOS. The mitogen-activated protein kinases (MAPK) signaling pathway, through the JUN N-terminal kinase (JNK), can phosphorylate members of the AP-1 family of transcription factors, modulating their activities. Hence, MA-10 Leydig cells were treated for 4 h with the JNK inhibitor SP600125 (pyrazolanthrone) at 25 μM, in the absence or presence of the activator of adenylate cyclase forskolin (FSK) at 10 μM, followed by RNA extractions and 3'Tag RNA-Seq analysis of the transcriptome. Interestingly, SP600125 decreases cAMP/PKA dependent expression of genes related to cholesterol and steroid biosynthetic/metabolic processes, resulting in decreased cAMP/PKA dependent progesterone production in MA-10 cells. Moreover, SP600125 increases the expression of genes involved in the endoplasmic reticulum stress response related to ATF4, resulting in activation of DDIT3 and apoptosis as indicated with cleaved caspase 3. Overall, our results suggest that SP600125 increases the ATF4/DDIT3-dependent endoplasmic reticulum stress response independently of MAPK9 (JNK2) inhibition, and inhibits LH/cAMP/PKA-dependent androgen synthesis in Leydig cells.
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 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 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".