Host-microbiome determinants of ready-to-use supplemental food efficacy in acute childhood malnutrition

Ready-to-use supplemental foods (RUSF) are essential for treating childhood acute malnutrition, yet their efficacy remains inconsistent. This study investigated whether environmental enteric dysfunction (EED), systemic inflammation, and gut microbiota composition could predict why some children recover weight effectively while others do not.

The researchers analyzed a birth cohort of 416 rural Pakistani children. They identified 187 infants who developed wasting and provided them with a chickpea-based RUSF (Acha Mum) for eight weeks. By comparing the 30 best responders and 30 worst non-responders, the team used machine learning to integrate data from blood, urine, and stool samples—including 16S rRNA sequencing—to identify predictive biomarkers of treatment success.

The study found that baseline biomarkers of systemic inflammation (such as CRP) and gut health (such as fecal neopterin) were significantly higher in non-responders, indicating that inflammation hinders nutritional recovery. Remarkably, gut microbiome composition predicted RUSF response with 93% accuracy before treatment and 98% accuracy after treatment. Responders showed a distinct shift in their gut microbiota, specifically an increase in Negativicutes (including Veillonella) and a decrease in Gammaproteobacteria. A small subset of non-responders, who otherwise possessed a 'responder-like' microbiome, failed to recover due to high burdens of systemic inflammation and frequent infections, suggesting that inflammation can override the potential benefits of a favorable microbiome.

These findings provide a foundation for precision nutrition in treating childhood malnutrition. By identifying children who are unlikely to respond to standard RUSF due to high inflammation or unfavorable microbial signatures, clinicians could potentially tailor interventions—such as using anti-inflammatory adjuncts or specific microbiome-directed foods—to improve recovery rates in high-risk populations.