Role for Myeloid Nuclear Differentiation Antigen in the Regulation of Neutrophil Apoptosis during Sepsis
Bibliographic record
Abstract
RATIONALE: Suppressed neutrophil apoptosis, a hallmark of sepsis, perpetuates inflammation and delays resolution. Myeloid nuclear differentiation antigen (MNDA) is expressed only in myeloid cells and has been implicated in cell differentiation; however, its function in mature neutrophils is not known. OBJECTIVES: We studied whether MNDA could contribute to regulation of apoptosis of neutrophils from healthy subjects and patients with sepsis, and investigated the impact of MNDA knockdown on apoptosis. METHODS: Human neutrophils were challenged with mediators of sepsis and neutrophils from patients with sepsis were cultured to investigate cleavage and cytoplasmic accumulation of MNDA. MNDA was knocked down in myeloid HL-60 cells to investigate development of apoptosis. MEASUREMENTS AND MAIN RESULTS: During constitutive apoptosis of human neutrophils, MNDA is cleaved by caspases and accumulated in the cytoplasm, where it promotes degradation of the antiapoptotic protein Mcl-1, thereby accelerating collapse of mitochondrial transmembrane potential. Culture of neutrophils with LPS, bacterial DNA, or platelet-activating factor prevented MNDA cleavage and cytoplasmic accumulation. MNDA knockdown with short hairpin RNA markedly attenuated Mcl-1 turnover and conferred resistance to stress-induced apoptosis in HL-60 cells. Neutrophils from patients with severe sepsis exhibited markedly suppressed apoptosis that was associated with impaired cytoplasmic MNDA accumulation, preservation of Mcl-1 expression, and mitochondrial transmembrane potential. Culture of neutrophils of healthy subjects with septic plasma delayed apoptosis and cytoplasmic MNDA accumulation. CONCLUSIONS: These results indicate that cytoplasmic accumulation of MNDA facilitates progression of apoptosis and suggest that impaired cytoplasmic MNDA accumulation contributes to delayed neutrophil apoptosis in patients with severe sepsis.
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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 | 0.001 |
| 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".