A39 DEVELOPMENTALLY REGULATED CECAL CONTENT MICRO-RNAS CORRELATE WITH MATURING MICROBIOTA GENES AND FUNCTIONS IN JUVENILE MICE
Bibliographic record
Abstract
Abstract Background The gut microbiome establishment in early life is critical to life-long health and influenced by the maternal gut ecosystem. MicroRNAs (miRNAs) have emerged as a new player in host-microbiota interaction due to their regulatory effect on bacterial genes. We previously found that maternal supplementation with a probiotic mix of Lacticaseibacillus rhamnosus R0011 and Lactobacillus helveticus R0052 supported the maturation of microbial metabolic activity and altered the cecal content miRNA profile in juvenile mice. Aims To investigate the relationship between cecal content miRNAs and inferred microbiota genes and functions in early life and identify potential miRNA-bacterial gene targets. Methods We generated 16S rRNA gene sequencing and NanoString nCounter® data from the cecal content of 14, 21, and 36-days-old C57BL/6 mice born to dams receiving or not probiotic-supplemented water since preconception. Taxa contributions to bacterial enzyme-encoding genes and pathways were inferred with PICRUSt2. Time or group-altered genes, pathways, and miRNAs were identified with DESeq2. Spearman correlations were performed between miRNAs and bacterial genes or pathways (n= 3-5 male offspring/PND/group) and significant correlations (q ampersand:003C 0.05) were visualized with NAViGaTOR. Potential miRNA binding sites on bacterial genes were investigated using the ViennaRNA Package. Results Time-associated miR-433 positively correlated with two time-altered genes involved in the TCA and glyoxylate cycles. Group-associated miR-691 was positively correlated with genes related to tRNA charging pathway, pyruvate fermentation to acetate and lactate, and amino acids biosynthesis. Additionally, miR-691 was negatively correlated with six group-altered genes involved in myo-inositol degradation. We identified potential miRNA binding sites (total free energy of binding ampersand:003C -10 kcal/mol) for miR-691 with genes involved in pyruvate fermentation, lysine biosynthesis, and myo-inositol degradation, and for miR-433 with genes annotated to the TCA and glyoxylate cycles. Conclusions Host miRNAs correlate with bacterial pathways and genes maturing during the weaning transition, highlighting their potential to regulate microbial metabolic activity. Maternal probiotics supplementation may accelerate the development of microbial metabolic pathways through epigenetic mechanisms, independently of weaning dietary shift. Correlations identified include energy production pathways and may become clinical targets in infants with delayed maturation of the intestinal ecosystem. Funding Agencies NSERC
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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 | 0.001 | 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) | 0.002 | 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".