The role of the infant microbiota and childhood stunting in rural Zimbabwe
Bibliographic record
Abstract
Childhood stunting or linear growth failure is a major global health issue, affecting 22% of children under 5 years of age worldwide. Stunting impacts people across the life course. Stunting is associated with a greater number of infections, reduced childhood survival, impaired cognitive development, and reduced adulthood productivity, and contributes to an intergenerational cycle of poor growth and development. Decreased linear growth has been associated with community-level changes in the gut microbiome as well as specific changes in individual bacterial and decreased overall microbial diversity. However, the literature addressing the role of the gut microbiome on poor child linear growth is limited. We conducted an analysis of the infant fecal microbiota composition from 1-18 months of life from infants participating in the Sanitation, Hygiene, Infant Nutrition Efficacy (SHINE) Trial, a large cluster-randomized trial, designed to evaluate the impact of improved household water quality, sanitation, and hygiene (WASH), and improved infant and young child feeding (IYCF) on linear growth and anaemia during the first 18 months of infant life in rural Zimbabwe. Using whole metagenomic sequencing, we were able to describe the infant fecal microbiota composition of SHINE Trial infants and examine relationships between the microbiota composition and HIV exposure status, SHINE trial interventions, and stunting status. As expected, age was the major driver of microbiota composition and diversity. No major differences in the infant fecal microbiota by HIV exposure status, SHINE trial interventions, or stunting status were observed. These results highlight the complex nature of linear growth and demonstrate that infant fecal microbiota composition plays a smaller direct role on growth in SHINE infants. Our study also confirms that the SHINE WASH intervention did not influence infant growth through alterations to the fecal microbiota composition, confirming the primary SHINE results. However, the functional potential of the infant fecal microbiota of SHINE infants will be examined in future analyses; this may uncover relationships separate from microbiota composition and diversity alone.
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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 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".