Higher expression of ferritin protects <i>Chlamydia trachomatis</i> infected HeLa 229 cells from reactive oxygen species mediated cell death
Bibliographic record
Abstract
Apoptosis plays an important role in modulating the pathogenesis of a variety of infectious diseases. Chlamydial infection protects cells against different forms of apoptosis: extrinsic, intrinsic, and granzyme B mediated. Redox reactions are central to the life and death decision of cells and pathogens and an intimate relationship exists between oxidative stress and iron metabolism. The link between redox status and ferritin was largely unexplored in chlamydia-infected cells. In the present study, we showed that Chlamydia trachomatis (CT) infection induced FHC protein in HeLa cells. FHC induction by CT-infected cells stably expressing FHC blunted ROS production compared with mock infected cells, and the infected cells were relatively resistant to apoptosis induced by H₂O₂. We also demonstrated that endogenous FHC overexpression correlates well with the stabilization of the mitochondrial membrane potential in CT-infected cells. Increased expression of FHC is independent of iron supplementation (FAC) and depletion (DFO) in CT-infected cells. These data suggest that FHC up-regulation is an acute response of HeLa cells against CT infection and that FHC exerts anti-apoptotic activity against oxidative stress.
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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 | 0.000 |
| 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".