ArticleEuropean journal of medical research2026
Veillonella, Neisseria, Prevotella, and Lachnoanaerobaculum enrichment in salivary microbiome predicts gallstone disease.
Article in European journal of medical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Integrated analysis of the aqueous humor microbiome and lens capsule transcriptome in high myopia cataract: a pilot study.Frontiers in medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
introductionGallstone disease (GSD) is a common hepatobiliary disorder influenced by bile composition, biliary drainage, and gallbladder motility. Emerging evidence suggests that oral microbiota may contribute to GSD development, but its role remains unclear. This study explores salivary microbiome alterations in GSD patients and their potential clinical relevance.
methodsThis study enrolled 58 GSD patients and 10 age-matched healthy controls. Salivary microbiome profiles were characterized using high-resolution 16S rRNA amplicon sequencing. All participants underwent comprehensive clinical evaluations including physical examinations, oral health assessments, anthropometric measurements, and fasting venous blood sampling for serum biochemical analysis. A multi-dimensional approach was applied to investigate host-microbiome interactions and their potential role in GSD pathogenesis.
resultsComparative analysis revealed significant microbial divergence between GSD patients and healthy controls, characterized by increased α-diversity indices and distinct β-diversity clustering. The linear discriminant analysis effect size (LEfSe) analysis identified 65 differentially abundant taxonomic features across multiple phylogenetic levels, including 7 phyla, 9 classes, 11 orders, 16 families, and 22 genera, representing 550 operational taxonomic units (OTUs). Notably, Veillonella, Neisseria, Prevotella, and Lachnoanaerobaculum were markedly enriched in the GSD cohort. The developed eXtreme Gradient Boosting (XGBoost) diagnostic model demonstrated exceptional discriminatory capacity, achieving a mean AUC of 0.994 under rigorous fivefold cross-validation. Redundancy analysis (RDA) and Spearman correlation analysis showed strong associations between microbial community structure and key biochemical markers, including chenodeoxycholic acid (CDCA) and alkaline phosphatase (ALP). Functional prediction using PICRUSt2 indicated substantial metabolic pathway alterations in GSD patients, particularly enhanced activity in energy production, amino acid metabolism, and secondary metabolite biosynthesis.
conclusionsSalivary microbiome dysbiosis in GSD patients demonstrated significant associations with disrupted bile acid homeostasis, suggesting a potential role of the oral microbiota in modulating lithogenic processes. The markedly altered microbial signatures may contribute to GSD pathogenesis, while the XGBoost-based diagnostic model shows considerable promise as a noninvasive tool for GSD detection.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.