Gut Microbiome Characteristics of Ghanaian Children with Asymptomatic Malaria

Ghanaian children were studied to investigate the link between asymptomatic malaria infection and gut microbiota alterations. The dataset likely contains baseline characteristics of participants and results from 16S rRNA sequencing, processed using the DADA2 pipeline. It was authored by Amma Aboagyewa Larbi and last updated in April 2026.

Use Cases

• Analyze shifts in Firmicutes and Bacteroidetes abundance based on malaria infection status mentioned in the description
• Compare genus-level microbial composition (e.g., Prevotella_9, Alloprevotella, Streptococcus) between infected groups and healthy controls
• Investigate beta-diversity patterns and the effect of malaria status on microbial composition based on the PERMANOVA results
• Model the relationship between specific genera (e.g., Faecalibacterium, Escherichia-Shigella) and mixed malaria infections

Strengths

• The description provides specific percentage changes in microbial phyla (e.g., Firmicutes decreased from 52.5% to 44.0%)
• Results include statistical significance measures (PERMANOVA, p < 0.05) and variance explained (19.1%)
• The dataset is openly licensed under CC-BY-4.0

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The dataset is very small (5.5 KB), indicating limited scope

Provenance

Source

figshare

Collection Method

Standard aseptic phlebotomy for blood collection and 16S rRNA V4 region sequencing for microbiome profiling.

Freshness

Last updated 2026-04-24 17:49:19; freshness should be verified

Geography

Ghana