Evidence map›Paper›PMID 40413543›Full record

ReviewJournal of translational medicine2025

Saliva metabolomics: a non-invasive frontier for diagnosing and managing oral diseases.

Xinyuan Zhao, Xu Chen, Ye Lu, Zihao Zhou, Pei Lin, Yunfan Lin, Shen Hu, Li Cui

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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.

Xinyuan ZhaoStomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, 510280, Guangdong, China.
Xu ChenStomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, 510280, Guangdong, China.
Ye LuStomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, 510280, Guangdong, China.
Zihao ZhouStomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, 510280, Guangdong, China.
Pei LinStomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, 510280, Guangdong, China.
Yunfan LinStomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, 510280, Guangdong, China.
Shen HuSchool of Dentistry, Jonsson Comprehensive Cancer Center, California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA, 90095, USA. shenhu@ucla.edu.
Li CuiStomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, 510280, Guangdong, China. licui@smu.edu.cn.ORCID 0000-0001-9814-6945

Funding

Guangdong Provincial Science and Technology Project Foundation 2022A0505050038National Natural Science Foundation of China 81901006National Natural Science Foundation of China 82372905Science and Technology Program of Guangzhou 2025A04J3464Science Research Cultivation Program of Stomatological Hospital, Southern Medical University PY2020002Scientific Research Talent Cultivation Project of Stomatological Hospital, Southern Medical University RC202005Young Top-notch Talent of Pearl River Talent Plan 0920220228
6 · The paper itself

Abstract

Salivary metabolomics represents a powerful noninvasive approach for diagnosing, monitoring, and managing oral diseases, providing valuable insights into the metabolic alterations associated with conditions such as oral cancer, oral precancerous lesions, periodontal diseases, and dental caries. Through the comprehensive analysis of salivary metabolites, this methodology facilitates the identification of disease-specific biomarkers reflective of underlying pathophysiological processes, including inflammation, microbial dysbiosis, and metabolic reprogramming. Despite its promising clinical potential, several significant challenges remain, notably the difficulty in establishing direct associations between specific salivary metabolites and distinct disease mechanisms, considerable inter-individual variability, and the inherent complexity of the oral microenvironment. Furthermore, issues related to data interpretation complexity, technological constraints, and the necessity for rigorous clinical validation continue to impede its broader clinical adoption. Nevertheless, ongoing advancements in analytical technologies and bioinformatics approaches hold considerable promise for addressing these limitations, positioning salivary metabolomics as a transformative tool for precision diagnosis and personalized treatment in oral health care.

Indexed as

MetabolomicsMouth DiseasesSalivaBiomarkersHumansBiomarkersDisease monitoringEarly diagnosisMetabolomicsOral diseasesSaliva metabolites

Identifiers

PMID40413543
PMCPMC12102935

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.