Evidence map›Paper›PMID 41645314›Full record

ArticleEuropean journal of medical research2026

Veillonella, Neisseria, Prevotella, and Lachnoanaerobaculum enrichment in salivary microbiome predicts gallstone disease.

Ruiqi Lu, Zhijue Zhang, Jingli Cai, Gang Zhao, Weiyi Shen, Yulong Yang, Zhaoyan Jiang, Hai Hu

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ruiqi LuCenter of Gallstone Disease,Shanghai East Hospital, Institution of Gallstone Disease, School of Medicine, Tongji University, Shanghai, 200092, China.
Zhijue ZhangDepartment of Stomatology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Jingli CaiCenter of Gallstone Disease,Shanghai East Hospital, Institution of Gallstone Disease, School of Medicine, Tongji University, Shanghai, 200092, China.
Gang ZhaoCenter of Gallstone Disease,Shanghai East Hospital, Institution of Gallstone Disease, School of Medicine, Tongji University, Shanghai, 200092, China.
Weiyi ShenCenter of Gallstone Disease,Shanghai East Hospital, Institution of Gallstone Disease, School of Medicine, Tongji University, Shanghai, 200092, China.
Yulong YangCenter of Gallstone Disease,Shanghai East Hospital, Institution of Gallstone Disease, School of Medicine, Tongji University, Shanghai, 200092, China.
Zhaoyan JiangCenter of Gallstone Disease,Shanghai East Hospital, Institution of Gallstone Disease, School of Medicine, Tongji University, Shanghai, 200092, China. jiangzhaoyan@tongji.edu.cn.
Hai HuCenter of Gallstone Disease,Shanghai East Hospital, Institution of Gallstone Disease, School of Medicine, Tongji University, Shanghai, 200092, China. huhailc@sina.com.

Funding

National Natural Science Foundation of China 81770625, 81770626
6 · The paper itself

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

16S rRNA sequencingChenodeoxycholic acidGallstone diseaseSalivary microbiomeXGBoost diagnostic model

Identifiers

PMID41645314
PMCPMC12937571

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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.