Home Research Feeds Correlation Analysis between Gut Microbiota and Metabolites in Children with Systemic Lupus Erythematosus

Correlation Analysis between Gut Microbiota and Metabolites in Children with Systemic Lupus ErythematosusOriginal 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?

This study examined the gut microbiota and fecal metabolome in children with systemic lupus erythematosus (SLE), an autoimmune connective tissue disease with unclear origins. Researchers used 16S rRNA sequencing to profile intestinal bacterial communities and gas chromatography-mass spectrometry (GC-MS) to characterize fecal metabolites. The goal was to correlate microbial composition changes with metabolite shifts to better understand SLE pathogenesis.

Who was studied?

The abstract identifies the population as children with systemic lupus erythematosus, compared against healthy controls (referred to as HCs). No specific sample size, age range, or recruitment site is given in the abstract. The comparison design implies a case-control cohort of pediatric SLE patients and matched or unmatched healthy children.

What were the most important findings?

Alpha diversity of the gut microbiota was unchanged in SLE patients, while beta diversity was partially altered compared to controls. Proteobacteria and Enterobacteriales increased and Ruminococcaceae decreased among SLE patients. Fecal metabolite analysis showed enrichment of amino acids and short-chain fatty acids alongside a decrease in long-chain fatty acids, with KEGG pathway analysis highlighting protein digestion and absorption, and association analysis pointing to 3-phenylpropanoic acid and Sphingomonas as key features. Sphingomonas was also found to be less abundant in healthy periodontal sites of SLE patients than in controls, suggesting possible oral-to-gut transmission of this taxon.

What are the greatest implications of this study?

These findings suggest that gut microbial imbalance and altered fecal metabolites, particularly involving Ruminococcaceae, Proteobacteria, and short-chain and long-chain fatty acids, may contribute to SLE pathogenesis in children. The identification of Sphingomonas and 3-phenylpropanoic acid as correlated features points to a potential oral-gut microbial axis worth further investigation. This work provides a foundation for exploring microbiome-targeted approaches as potential treatments for pediatric SLE.

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