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Host-microbiome determinants of ready-to-use supplemental food efficacy in acute childhood malnutrition
Zehra Jamil, … , S. Asad Ali, Sean R. Moore
Zehra Jamil, … , S. Asad Ali, Sean R. Moore
Published July 22, 2025
Citation Information: JCI Insight. 2025;10(14):e188993. https://doi.org/10.1172/jci.insight.188993.
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Clinical Research and Public Health Gastroenterology Microbiology

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

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Abstract

Background Ready-to-use supplemental foods (RUSF) are energy-dense meals used to treat moderate and severe acute childhood malnutrition. Weight recovery with RUSF is heterogeneous, therefore we investigated whether environmental enteric dysfunction (EED), systemic inflammation, and gut microbiota predict RUSF response.Methods We followed nutritional status and RUSF outcomes in a rural birth cohort of 416 Pakistani infants. Acha Mum, a chickpea-based RUSF, was administered daily for 8 weeks to children who developed wasting (weight-for-length Z-score <–2).Results Of 187 treated with RUSF, 112 showed no immediate improvement in weight-for-age. Machine learning identified nine biomarkers that collectively predicted RUSF response with 73% accuracy. Gut microbiome composition before and after supplementation predicted response with 93% and 98% accuracy, respectively. Responders showed microbiome restructuring, with increased growth-associated taxa and reduced Gammaproteobacteria relative to nonresponders. A subset of extreme nonresponders—whose microbiome profiles resembled those of responders—displayed markedly abnormal biomarkers of inflammation, suggesting adverse host factors constrain gut microbiota benefits for RUSF efficacy.Conclusion EED, systemic inflammation, and gut microbiota predict acute nutritional responses to Acha Mum, setting the stage for precision use of RUSF and adjunctive therapies in addressing the global burden of childhood malnutrition in low- and middle-income countries.

Authors

Zehra Jamil, Gabriel F. Hanson, Junaid Iqbal, G. Brett Moreau, Najeeha Talat Iqbal, Sheraz Ahmed, Aneeta Hotwani, Furqan Kabir, Fayaz Umrani, Kamran Sadiq, Kumail Ahmed, Indika Mallawaarachchi, Jennie Z. Ma, Fatima Aziz, S. Asad Ali, Sean R. Moore

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Figure 8

RUSF nonresponders with high levels of inflammation harbor fecal microbiota that resemble those of responders.

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RUSF nonresponders with high levels of inflammation harbor fecal microbi...
(A) PCA displaying the relationship between biomarkers and cytokines measured before intervention from patients with matching microbiome data in the responders (n = 30), nonresponders (n = 30), and control groups (n = 28). Black circles denote nonresponder samples with high levels of inflammation selected for downstream analysis. (B) Comparison of the average relative abundance of microbial taxa at the phylum level in responder, nonresponder, and inflamed nonresponder stool samples prior to the nutritional intervention. (C) Longitudinal change in WAZ score for control, responder, nonresponder, and inflamed nonresponder children over the first 2 years of life.

Copyright © 2025 American Society for Clinical Investigation
ISSN 2379-3708

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