N-acetylcysteine modulation of JAK2 and JAK3 results in decreased STAT3 activation in human B lymphocytes (P1473)
Bibliographic record
Abstract
Abstract Activation of STAT3 is crucial for human B lymphocyte differentiation and inhibition of its phosphorylation in CD40-activated B lymphocytes results in impairment of in vitro generation of immunoglobulin-secreting cells. Conversely, redox homeostasis plays a role in B lymphocyte maturation. Thus, the presence of antioxidants can potentially modulate their outcome. We showed that N-acetylcysteine (NAC), an antioxidant molecule, can inhibit STAT3 phosphorylation, which is paralleled with strong inhibition of immunoglobulins secretion. Western analysis reveals that NAC-treatment of CD40-activated human B lymphocytes, in the presence of IL-2, IL-4 and IL-10, causes a reduced phosphorylation of JAK2 and JAK3, which are important activators of STAT3. Furthermore, this inhibition appears to be dose-dependant. Our results indicate that other antioxidant molecule such as α-tocopherol and trolox do not affect these two kinases phosphorylation. Other kinases or their inhibitors associated to STAT3 phosphorylation do not seem affected by the presence of antioxidant in the media. In conclusion, these observations reveal that STAT3 phosphorylation down regulation in NAC conditions is due to its association with JAK2 and JAK3.
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) | 0.000 | 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".