A meta-analysis of gut microbiome research in malnourished African populations: a natural language processing approach
Clinical Snapshot
PICO Framework
| P — Population | Undernourished children living in sub-Saharan Africa and other low- and middle-income countries |
| I — Intervention | Gut microbiome characterization studies |
| C — Comparator | Healthy children and comparison between different geographic regions (sub-Saharan Africa vs other LMICs) |
| O — Outcomes | Gut microbiome composition, particularly microbial taxa associated with malnutrition and stunting |
Bottom Line
This meta-analysis represents an important first step in systematically examining gut microbiome research in malnourished African children using natural language processing to address nomenclature inconsistencies. The identification of elevated Pseudomonadota levels in severe acute malnutrition provides a potential biomarker, but the small number of studies (16 from sub-Saharan Africa) and methodological limitations significantly constrain the strength of conclusions. The overlap between microbial taxa in healthy and stunted children highlights the complexity of host-microbiome interactions in malnutrition. While this work advances our understanding of regional microbiome patterns, the authors appropriately acknowledge that further research is needed before these findings can inform targeted interventions. The study's focus on African populations addresses an important research gap, but clinicians should await more robust evidence before considering microbiome-based approaches to malnutrition management.
Key Findings
P Value: Not reported
Effect Size: Not specified in abstract
Primary Outcome: Gut microbiome composition in malnourished children
Nnt Or Sensitivity: Elevated Pseudomonadota levels consistently associated with severe acute malnutrition
Confidence Interval: Not provided
Clinical Application
Limited immediate clinical application due to research-stage findings and need for further validation Limited direct relevance to Australian practice but may inform care of refugee and immigrant populations from affected regions, and contribute to global health understanding Malnourished children in sub-Saharan Africa and other low- and middle-income countries
Abstract
Malnutrition still affects millions of children in Africa. Changes in the gut microbiome have been implicated in malnutrition, but there has been inconsistent nomenclature of microbes. This meta-analysis reviews the microbiome literature using natural language processing (NLP) methods. We searched PubMed for gut microbiome studies of undernourished children living in low- and middle-income countries (LMICs). The primary analysis focused on continental coverage and study characteristics of microbiome research in sub-Saharan Africa (ss-Africa). We also used an NLP tool for normalizing primary data from full-text publications in ss-Africa compared with other LMICs, and between diseased and healthy children. We identified 16 studies. Most studies were conducted in Malawi and characterized the faecal microbiome using 16S rRNA sequencing. For comparison, 18 studies conducted in Bangladesh, India, Pakistan and Peru were included. With this, we identified frequently reported microbes that were distinctly identified in ss-Africa and highlighted possible signatures of an undernourished faecal microbiome across the globe. The consistent associations between elevated Pseudomonadota levels and severe acute malnutrition provide new insights into host-microbiome interactions in African contexts. However, the overlap between taxa associated with healthy and stunting underscores the need for further research to better inform potential targeted interventions in Africa. This article is part of the theme issue 'Biological, biomedical and environmental drivers of stunting'.
References
- 1.Mweetwa, M. N., Kelly, P., & Posma, J. (2026). A meta-analysis of gut microbiome research in malnourished African populations: a natural language processing approach. Philosophical Transactions of the Royal Society B, 381(1900), 20250038. https://doi.org/10.1098/rstb.2025.0038
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