Lysosomal Fe <sup>2+</sup> influx through MCOLN1 channel prevents sustained inflammation by limiting PHDs-regulated NFKB activation in macrophages
Bibliographic record
Abstract
Lysosomes are best known for their involvement in inflammatory responses, where they participate in the macroautophagy/autophagy process to eliminate inflammasomes. Recently, we have identified a previously overlooked function of lysosomes in regulating macrophage inflammatory responses. Specifically, lysosomes finely control the production of IL1B (interleukin 1 beta) by manipulating the release of lysosomal Fe2+ through MCOLN1. Mechanistically, reactive oxygen species (ROS), accumulated during sustained inflammation in macrophages, cause activation of the MCOLN1, a lysosomal cationic channel. The activation of MCOLN1 triggers the release of lysosomal Fe2 toward the cytosol, which in turn activates prolyl hydroxylase domain enzymes (PHDs). PHDs’ activation represses the transcriptional regulator NFKB/NF-kB (nuclear factor kappa B) activity by restraining RELA/p65 in the cytosol, leading to decreased IL1B transcription in macrophages. Consequently, the property of controlling production and subsequent release of IL1B from macrophages allows the lysosome to finely restrict sustained inflammatory responses. These findings demonstrate that apart from relying on its degradative capability, the lysosome also limits excessive inflammatory responses to facilitate the restoration of cellular and tissue homeostasis in macrophages by modulating the release of lysosomal Fe2+ through MCOLN1. Even more, by suppressing IL1B production, in vivo stimulation of the MCOLN1 channel alleviates multiple clinical symptoms of dextran sulfate sodium (DSS)-induced colitis in mice, highlighting MCOLN1 as a promising therapeutic target for inflammatory bowel disease (IBD) in clinical settings.
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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) | 0.001 | 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".