Clostridioides Difficile Colonization Is Differentially Associated with Gut Microbiota Composition in Breastfed versus Formula Fed Infants (OR01-02-19)
Bibliographic record
Abstract
Colonization with Clostridioides difficile occurs in up to half of infants and is predicted by formula feeding. Although this microbe does not appear to pose any immediate risks for infants, its presence has been associated with susceptibility to chronic disease later in childhood, perhaps by promoting changes in the gut microbiome that may increase opportunity for colonization of pathogenic bacteria. We explored these compositional changes in exclusively breastfed, partially breastfed and exclusively formula fed infants to describe the microbial community and C. difficile colonization in infants with distinct diets. This study includes 1562 infants enrolled in the Canadian Healthy Infant Longitudinal Development (CHILD) Study. Infants provided a fecal sample at 3–4 months of age (Mean: 3.56, SD: 1.00) which was analyzed using 16S rRNA sequencing and targeted qPCR for C. difficile. Mode of feeding was recorded in a questionnaire at a 3 month follow-up visit. C. difficile colonization was defined as positive detection (CD+) in the fecal sample (reference: not present, CD-). Multivariate association with linear models (MaAslin) was used to determine changes in microbiota composition following arsine-square root transformation of relative abundances and FDR correction. The prevalence of C. difficile colonization among all infants was 30.9%. Colonization rates differed among feeding groups: 22.63% of exclusively breastfed infants, 35.96% of partially breastfed infants and 49.63% of exclusively formula fed infants (P < 0.001). Microbes of the genus Bifidobacterium were decreased in CD + exclusively breastfed infants compared to non-carriers of the same diet (q = 0.02). Additionally, Blautia, Coprococcus and Clostridium, of the Lachnospiraceae family, and microbes of the Bacteroidetes phylum were of higher relative abundance (all q < 0.01) in breastfed CD + infants (both partial and exclusive). In exclusively formula fed infants, C. difficile colonization was not significantly associated with microbiota composition. C. difficile colonization may have a dysbiotic effect on the gut microbiota composition of breastfed infants, changes which have previously been associated with childhood atopy and obesity. Canadian Institutes of Health Research (CIHR). AllerGen Network of Centres of Excellence (NCE)
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".