Defective immunometabolism pathways in cystic fibrosis macrophages
Bibliographic record
Abstract
BACKGROUND: Mitochondria play a key role in immune defense pathways, particularly for macrophages. We and others have previously demonstrated that cystic fibrosis (CF) macrophages exhibit weak autophagy activity and exacerbated inflammatory responses. Previous studies have revealed that mitochondria are defective in CF epithelial cells, but to date, the connection between defective mitochondrial function and CF macrophage immune dysregulation has not been fully elucidated. Here, we present a characterization of mitochondrial dysfunction in CF macrophages. METHODS: Mitochondrial function in wild-type (WT) and CF F508del/F508del murine macrophages was measured using the Seahorse Extracellular Flux analyzer. Mitochondrial morphology was investigated using transmission electron and confocal microscopy. Mitochondrial membrane potential (MMP) as well as mitochondrial reactive oxygen species (mROS) were measured using TMRM and MitoSOX Red fluorescent dyes, respectively. All assays were performed at baseline and following infection by Burkholderia cenocepacia, a multi-drug resistant bacterium that causes detrimental infections in CF patients. RESULTS: We have identified impaired oxygen consumption in CF macrophages without and with B. cenocepacia infection. We also observed increased mitochondrial fragmentation in CF macrophages following infection. Lastly, we observed increased MMP and impaired mROS production in CF macrophages following infection with B. cenocepacia. CONCLUSIONS: The mitochondrial defects identified are key components of the macrophage response to infection. Their presence suggests that mitochondrial dysfunction contributes to impaired bacterial killing in CF macrophages. Our current study will enhance our understanding of the pathobiology of CF and lead to the identification of novel mitochondrial therapeutic targets for CF.
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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 | 0.001 | 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".