Evidence map›Paper›PMID 40181365›Full record

ArticleBMC oral health2025

The salivary metabolomics analyses reveal the variable metabolites in distinct staging of periodontitis.

Lijun Wang, Wen Lu, Wei Ju, Wenxin Yao, Chaowen Shi, Xihu Yang, Wenhao Qian

Abstract read
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Article in BMC oral health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Lijun WangDepartment of Periodontitis, Xuhui District Dental Center, Shanghai, 200232, China.
Wen LuDepartment of Oral and Maxillofacial Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, China.
Wei JuDepartment of Oral and Maxillofacial Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, China.
Wenxin YaoDepartment of Periodontitis, Xuhui District Dental Center, Shanghai, 200232, China.
Chaowen ShiSchool of Life Sciences, Jiangsu University, Zhenjiang, 212013, Jiangsu, China.
Xihu YangDepartment of Oral and Maxillofacial Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, China. yangxihu1981@126.com.
Wenhao QianDepartment of Periodontitis, Xuhui District Dental Center, Shanghai, 200232, China. pingyanlaoto@163.com.

Funding

Medical Key Subject of Xuhui District SHXHZDXK202302National Natural Science Foundation of China 82173380Shanghai Xuhui Medical Research Project SHXH202114
6 · The paper itself

Abstract

objectiveSaliva, which is a critical component of the oral ecosystem, undergoes dynamic changes, particularly during the onset and progression of periodontitis. SUBJECTS AND

methodsThis study used Gas Chromatography-Mass Spectrometry (GC-MS), a reliable and high-throughput tool for metabolomic analysis, to detect salivary metabolic shifts across various stages of periodontitis (T1-T4). We compared differential changes in metabolites between the HC and T1 groups, the T1 and T2 groups, the T2 and T3 groups, and the T3 and T4 groups.

resultsBy analysing saliva samples from 116 individuals-10 healthy controls (HC) and 106 patients with periodontitis across stages T1 (22 individuals) to T4 (28 individuals), we identified differential metabolites including Glucose, 3-Aminobutanoic Acid, N-(1-Cyclopropylethyl) Aniline, and Methylmalonic Acid. Compared to HC, the metabolites in patients with periodontitis exhibited progressive concentration changes correlating with the severity of the disease. Furthermore, KEGG pathway analysis was used to elucidate the metabolic pathways involved in the development of periodontitis.

conclusionsOur findings demonstrate the potential of salivary metabolites as biomarkers for monitoring periodontitis progression and offer valuable insights into its pathogenesis and potential therapeutic targets.

Indexed as

MetabolomicsPeriodontitisSalivaAdultBiomarkersCase-Control StudiesDisease ProgressionFemaleGas Chromatography-Mass SpectrometryHumansMaleMiddle AgedBiomarkersGas Chromatography-Mass spectrometry (GC-MS)Periodontitis (T1-T4)Salivary metabolomics

Identifiers

PMID40181365
PMCPMC11966846

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