PKA inhibition is a central step in D,L-methadone-induced ER Ca2+ release and subsequent apoptosis in acute lymphoblastic leukemia
Bibliographic record
Abstract
Acute lymphoblastic leukemia (ALL) is a hematologic cancer that mostly affects children. It accounts for over a quarter of ALL pediatric cancers, causing most of the cancer death among children. Previously, we demonstrated that D,L-methadone causes ALL cell apoptosis via μ-opioid receptor 1 (OPRM1)-triggered ER Ca2+ release and decrease in Ca2+ efflux, elevating [Ca2+]i. However, the precise mechanism by which D,L-methadone induces ER Ca2+ release remains to be defined. Here, we show that in ALL cells, D,L-methadone-induced ER Ca2+ release is blocked by inhibition of Gαi, but not Gβϒ, indicating that the process is dependent on Gαi. Activation of adenylyl cyclase (AC) with forskolin or treatment with 8-CPT-cAMP blocks D,L-methadone-induced ER Ca2+ release, indicating that the latter results from Gαi-dependent downregulation of AC and cAMP. The 14–22 amide (myr) PKA inhibitor alone elicits ER Ca2+ release, and subsequent treatment with D,L-methadone does not cause additional ER Ca2+ release, indicating that PKA inhibition is a key step in D,L-methadone-induced ER Ca2+ release and can bypass the D,L-methadone-OPRM1-AC-cAMP step. This is consistent with the decrease in PKA-dependent (i) inhibitory PLCβ3 Ser1105 phosphorylation that leads to PLCβ3 activation and ER Ca2+ release, and (ii) BAD Ser118 phosphorylation, which together ultimately result in caspase activation and apoptosis. Thus, our findings indicate that D,L-methadone-induced ER Ca2+ release and subsequent apoptosis in ALL cells is mediated by Gαi-dependent downregulation of the AC-cAMP-PKA-PLCβ3/BAD pathway. The fact that 14–22 amide (myr) alone effectively kills ALL cells suggests that PKA may be targeted for ALL therapy.
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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 | 0.001 |
| 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".