A75 EARLY-LIFE IRON SUPPLEMENTATION SHAPES GUT MICROBIOTA AND MODULATES RECOVERY FROM GUT DYSBIOSIS
Bibliographic record
Abstract
Abstract Background Iron is an essential micronutrient, but its supplementation carries significant risks to intestinal health. Excess free iron in the gut fosters pathogenic bacterial growth, disrupting the microbiota and increasing susceptibility to future intestinal stresses. Early life represents a critical window for microbiota establishment, yet little is known about the long-term effects of iron supplementation during this period. This raises concerns about how early iron exposure may impact the gut’s resilience to future stressors, such as gut dysbiosis, especially given the prevalence of intestinal stress and the widespread availability of over-the-counter iron supplements. Aims Our study aims to investigate how early-life iron excess influences the gut microbiota and its capacity to recover from two distinct dysbiosis models: 1- Colitis-induced dysbiosis via dextran sulfate sodium (DSS) 2- Antibiotic-induced dysbiosis via a metronidazole and ciprofloxacin cocktail. We hypothesize that early exposure to excess iron impairs microbiota recovery compared to exposure during adult life. Methods Using C57BL/6 mice, we compared the outcomes of iron-sufficient and iron-excess diets initiated at weaning and continued into adulthood. After a 5 week exposure and an iron-sufficient period of two weeks, dysbiosis was induced, followed by an 8-week recovery phase, with frequent stool sampling for 16S rRNA sequencing to track gut microbiota composition. A bioinformatic pipeline was developed to analyze microbiota recovery and the influence of iron exposure. Parallel experiments on adult mice were conducted to explore the role of age in recovery outcomes. Results Preliminary data indicate that the colitis model was effective, with disease severity scores confirming a stronger inflammatory response in mice exposed to excess iron during early life. Young mice in the iron-excess group showed heightened susceptibility to DSS-induced colitis compared to their iron-sufficient counterparts. Our bioinformatics workflow has been optimized for other datasets, showing reduced computational time while maintaining analytical precision. Conclusions These findings suggest that early-life iron excess impairs gut resilience, potentially predisposing individuals to heightened responses to gut stresses like colitis or antibiotic exposure. Ongoing 16S analysis will further delineate recovery patterns, providing critical insights into how iron supplementation during infancy may influence long-term intestinal health and informing future dietary recommendations for young infants. Funding Agencies Institut du Cancer de Montreal, Centre de recherche du CHUM, University of Montreal
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".