Gut Microbiota in Children Hospitalized with Oedematous and Non-Oedematous Severe Acute Malnutrition in Uganda

• Published in: PLoS neglected tropical diseases 2016-01, Vol.10 (1), p.e0004369-e0004369
• Main Authors: Kristensen, Kia Hee Schultz, Wiese, Maria, Rytter, Maren Johanne Heilskov, Özçam, Mustafa, Hansen, Lars Hestbjerg, Namusoke, Hanifa, Friis, Henrik, Nielsen, Dennis Sandris
• Format: Article
• Language: English
• Subjects: Age; Bacteria; Bacteria - classification; Bacteria - genetics; Bacteria - isolation & purification; Biodiversity; Care and treatment; Child; Child, Preschool; Children; Data collection; Developing countries; Development and progression; Feces - microbiology; Female; Gastrointestinal Microbiome; Health aspects; Hospitalization; Humans; Infant; LDCs; Male; Malnutrition; Microbiota (Symbiotic organisms); Severe Acute Malnutrition - microbiology; Severe Acute Malnutrition - therapy; Studies; Uganda
• ISSN: 1935-2735; 1935-2727; 1935-2735
• DOI: 10.1371/journal.pntd.0004369

Severe acute malnutrition (SAM) among children remains a major health problem in many developing countries. SAM manifests in both an oedematous and a non-oedematous form, with oedematous malnutrition in its most severe form also known as kwashiorkor. The pathogenesis of both types of malnutrition in children remains largely unknown, but gut microbiota (GM) dysbiosis has recently been linked to oedematous malnutrition. In the present study we aimed to assess whether GM composition differed between Ugandan children suffering from either oedematous or non-oedematous malnutrition. As part of an observational study among children hospitalized with SAM aged 6-24 months in Uganda, fecal samples were collected at admission. Total genomic DNA was extracted from fecal samples, and PCR amplification was performed followed by Denaturing Gradient Gel Electrophoresis (DGGE) and tag-encoded 16S rRNA gene-targeted high throughput amplicon sequencing. Alpha and beta diversity measures were determined along with ANOVA mean relative abundance and G-test of independence followed by comparisons between groups. Of the 87 SAM children included, 62% suffered from oedematous malnutrition, 66% were boys and the mean age was 16.1 months. GM composition was found to differ between the two groups of children as determined by DGGE (p = 0.0317) and by high-throughput sequencing, with non-oedematous children having lower GM alpha diversity (p = 0.036). However, beta diversity analysis did not reveal larger differences between the GM of children with oedematous and non-oedematous SAM (ANOSIM analysis, weighted UniFrac, R = -0.0085, p = 0.584; unweighted UniFrac, R = 0.0719, p = 0.011). Our results indicate that non-oedematous SAM children have lower GM diversity compared to oedematous SAM children, however no clear compositional differences were identified.