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April 26, 2026SHILAP Revista de lepidopterología0 citationsOpen Access

Composition and diversity of gut microbiota in non-erosive reflux disease

XWXiuxiu WeiGWG WangYWYuchen Wei

Key Points

  • This study aims to characterize gut microbiota in patients with non-erosive reflux disease (NERD) and explore microbial biomarkers for differentiation.
  • Enrolled 40 patients with NERD and 18 healthy controls (HCs)
  • Analyzed fecal samples using 16S ribosomal RNA (rRNA) gene sequencing
  • Evaluated microbial diversity, composition, and used linear discriminant analysis effect size (LEfSe)
  • Gut microbial structure and composition were distinct in NERD patients compared to HCs.
  • Alpha diversity was significantly lower in NERD patients (p < 0.01).
  • Streptococcus showed an AUC of 0.9333 for differentiating NERD from HCs, indicating high diagnostic power.

Abstract

Objective Non-erosive reflux disease (NERD) is a prevalent gastrointestinal disorder with complex pathophysiology. Recent evidence suggests a potential role of gut microbiota in its development. This study aimed to characterize the gut microbiota in patients with NERD, and to explore microbial biomarkers for disease differentiation. Methods We enrolled 40 patients with NERD, along with 18 healthy controls (HCs). Fecal samples were collected and analyzed using 16S ribosomal RNA (rRNA) gene sequencing. Gut microbial diversity and composition, linear discriminant analysis effect size (LEfSe), and receiver operating characteristic (ROC) curves were evaluated. Results The microbial structure and composition of NERD patients were distinct from those of HCs. Alpha diversity was significantly lower in NERD patients than in controls ( p 0.01). At the phylum level, Actinobacteriota was increased, while Bacteroidota and Proteobacteria were decreased in NERD patients. At the genus level, Faecalibacterium and Bacteroides were decreased, whereas Streptococcus , Blautia , Bifidobacterium , and Enterococcus were enriched in NERD patients. Additionally, LEfSe was developed to identify several bacterial genera that can differentiate patients with NERD from those HCs. Furthermore, the area under the curve (AUC) value of Streptococcus for distinguishing NERD from HCs was 0.9333, indicating exceptionally high diagnostic power. Conclusion This study identified microbiota dysbiosis of gut microbiota in NERD patients. Streptococcus showed extremely high diagnostic efficacy, which can be used as a microbial biomarker, and may serve as potential therapeutic target for NERD.

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Cite This Study

Wei et al. (2026) studied this question.

synapsesocial.com/papers/69edaa9b4a46254e215b31dahttps://doi.org/10.3389/fmicb.2026.1795756
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