Evidence map›Paper›PMID 41324827›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2025

Serum metabolomics identifies biomarkers in radicular cysts.

Zheng Wei, Kou Dou, Linzhong Yang, Fuyan Li, Tao Zeng, Lei Zhang, Xianghui Xing, Shuai Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Zheng Wei *Pediatric Dentistry, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, 210008, Jiangsu, China.
Kou Dou *Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, 210008, Jiangsu, China.
Linzhong YangDepartment of Oral and Maxillofacial Surgery, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing Stomatological Hospital, Nanjing University, Nanjing, 210008, Jiangsu, China.
Fuyan LiDepartment of Oral and Maxillofacial Surgery, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing Stomatological Hospital, Nanjing University, Nanjing, 210008, Jiangsu, China.
Tao ZengState Key Lab of Pharmaceutical Biotechnology, College of Life Sciences, Nanjing University, Nanjing, 210008, Jiangsu, China.
Lei ZhangDepartment of Oral Pathology, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing Stomatological Hospital, Nanjing University, Nanjing, 210008, Jiangsu, China.
Xianghui XingPediatric Dentistry, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, 210008, Jiangsu, China. dr.xing@qq.com.
Shuai WangDepartment of Oral and Maxillofacial Surgery, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing Stomatological Hospital, Nanjing University, Nanjing, 210008, Jiangsu, China. shuaiwang@smail.nju.edu.cn.

Funding

3456 Key Talents Funding Project of Nanjing Stomatological Hospital Medical School of Nanjing University U222R211Key Medical Science and Technology Development Projects of Nanjing Health Commission ZKX21056
6 · The paper itself

Abstract

objectiveRadicular cyst (RC), the most prevalent odontogenic cyst in the jaw, remains poorly characterized regarding its systemic metabolic profile. This study aims to elucidate metabolic disturbance patterns in RC patients through serum metabolomics and identify potential biomarkers for constructing a diagnostic model.

methodsSerum samples from 30 RC patients and 20 healthy controls (HCs) were analyzed using gas chromatography-mass spectrometry (GC-MS)-based untargeted metabolomics. Multivariate statistical analyses (PCA, OPLS-DA) were employed to identify differential metabolites. A diagnostic model was subsequently developed through LASSO regression with ROC curve validation.

resultsSeventy-three serum metabolites were identified, with 31 exhibiting significant dysregulation in RC patients (8 upregulated, 23 downregulated). LASSO regression selected seven metabolites (threonine, homoserine, dAMP, biotin, ADP, dGDP, deoxyuridine) to construct a diagnostic model demonstrating perfect discrimination between RC and HCs (sensitivity: 1.00, specificity: 1.00, AUC: 1.00).

conclusionThis study provides the first report of systemic metabolic characteristics in RC patients and establishes a high-precision diagnostic model based on seven metabolites. These findings offer novel insights into RC pathogenesis and facilitate the development of non-invasive diagnostic approaches.

Indexed as

BiomarkersMetabolomicsRadicular CystAdultCase-Control StudiesFemaleGas Chromatography-Mass SpectrometryHumansMaleMetabolomeMiddle AgedROC CurveBiomarkersBiomarkersMetabolomicsRadicular cystSerum metabolic profilingUntargeted metabolomics

Identifiers

PMID41324827

What Socratic holds

Textmetadata
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.