Home Research Feeds Changes in fecal microbiota composition and the cytokine expression profile in school-aged children with depression: A case-control study

Changes in fecal microbiota composition and the cytokine expression profile in school-aged children with depression: A case-control studyOriginal paper

Researched by:

  • Karen Pendergrass

Last Updated: 2026-07-04

Karen Pendergrass
Karen Pendergrass

Karen Pendergrass is a microbiome researcher specializing in microbiome-targeted interventions (MBTIs). She systematically analyzes scientific literature to identify microbial patterns, develop hypotheses, and validate interventions. As the founder of the Microbiome Signatures Database, she bridges microbiome research with clinical practice. In 2012, based on her own investigative research, she became the first documented case of FMT for Celiac Disease, four years before the first published case study.

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Location
China
Sample Site
Feces
Species
Homo sapiens

What was studied?

Researchers compared gut microbiota and cytokine profiles in 140 school-aged children (6 to 12 years) from Lishui, Zhejiang, China: 92 with depression and 48 healthy controls.

How was it studied?

Fecal microbiota was profiled using Illumina sequencing of the 16S rRNA gene V3-V4 region. Serum cytokines were measured with a Bio-Plex Pro Human Cytokine 27-plex panel, and correlations between microbiota and cytokines were analyzed.

What did they find?

Children with depression showed greater bacterial richness and altered beta-diversity compared to controls. The pro-inflammatory genus Streptococcus was enriched while the anti-inflammatory genus Faecalibacterium was reduced, determined by LEfSe analysis. Cytokine profiling showed increased IL-17 and decreased IFN-gamma, and this cytokine shift correlated with the microbiota changes.

Why it matters

This is the first study to link gut dysbiosis and a pro-inflammatory cytokine response in Chinese children with depression, suggesting Streptococcus and Faecalibacterium could serve as non-invasive biomarkers for diagnosis and targeted intervention.

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