The Interplay between Gut Microbiota-Derived Metabolites and Ferroptosis: Implications for Intestinal Health and Disease
Bibliographic record
Abstract
Ferroptosis, an iron-dependent form of regulated cell death driven by lipid peroxidation (LPO), has emerged as a critical player in intestinal health and disease. The gut microbiota, through metabolic activity, generate bioactive metabolites that influence host physiology, including the regulation of ferroptosis. Recent studies have highlighted the pivotal role of gut microbiota-derived metabolites in sustaining intestinal homeostasis. Although the human body has evolved natural mechanisms, such as ferroptosis, to maintain gut equilibrium, elucidating the contribution of gut microbiota-derived metabolites to this process remains a critical area of research. This Review systematically examines the molecular mechanisms underlying ferroptosis, the interplay between gut microbial metabolites and ferroptotic pathways, and the implications for intestinal disorders. Furthermore, it explores innovative therapeutic strategies targeting microbial metabolite-ferroptosis interactions. By synthesizing current evidence, this work aims to advance the development of microbiota-centric therapies for ferroptosis-related intestinal pathologies, bridging mechanistic insights with translational potential.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".