Evidence map›Paper›PMID 36984796›Full record

ArticleMetabolites2023

Identification of a Biomarker Panel for Diagnosis of Early Childhood Caries Using Salivary Metabolic Profile.

Seonghye Kim, Yuri Song, Seyeon Kim, Siyeong Kim, Heesam Na, Sujin Lee, Jin Chung, Suhkmann Kim

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.6field-weighted citation impact, top 5% of its field
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

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Association of asparagine in saliva with a lower risk of early childhood caries in undernourished children: a cross-sectional study.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2025
    Article
  7. Article
  8. Article
  9. Human Serum and Salivary Metabolomes: Diversity and Closeness.International journal of molecular sciences · 2023
    Article
  10. Review
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 at 2 institutions in 1 country.

Seonghye KimDepartment of Chemistry and Chemistry Institute for Functional Materials, Pusan National University, Busan 46241, Republic of Korea.ORCID 0000-0002-3619-3356
Yuri SongDepartment of Oral Microbiology, School of Dentistry, Pusan National University, Yangsan 50612, Republic of Korea.
Seyeon KimDepartment of Dental Hygiene, Jinju Health College, Jinju 52655, Republic of Korea.
Siyeong KimOral Genomics Research Center, Pusan National University, Yangsan 50612, Republic of Korea.
Heesam NaDepartment of Oral Microbiology, School of Dentistry, Pusan National University, Yangsan 50612, Republic of Korea.
Sujin LeeDepartment of Chemistry and Chemistry Institute for Functional Materials, Pusan National University, Busan 46241, Republic of Korea.
Jin ChungDepartment of Oral Microbiology, School of Dentistry, Pusan National University, Yangsan 50612, Republic of Korea.ORCID 0000-0002-6859-615X
Suhkmann KimDepartment of Chemistry and Chemistry Institute for Functional Materials, Pusan National University, Busan 46241, Republic of Korea.
Gwangju Health University · KRPusan National University · KR

Funding

National Research Foundation of Korea 2017M3A9B6062027
6 · The paper itself

Abstract

Several studies have demonstrated that nuclear magnetic resonance (NMR) metabolic profiles can differentiate patients with caries from healthy individuals; however, these studies only identified individual metabolites. The present study aimed to identify a salivary metabolite biomarker panel for the diagnosis of early childhood caries (ECC). Saliva samples from children with and without caries were analyzed using NMR spectroscopy. Multivariate and univariate analyses were performed to identify the discriminating metabolites. Selected metabolites were further evaluated and used to detect ECC. The saliva samples of children with ECC were characterized based on the increased levels of formate, glycerophosphocholine, and lactate and reduced levels of alanine, glycine, isoleucine, lysine, proline, and tyrosine. The levels of these metabolites were significantly different from those in the control in the ECC subgroup according to caries severity and correlated with the number of decayed and filled teeth or surfaces. Subsequently, an optimal salivary metabolite biomarker panel comprising formate, lactate, proline, and glycine was developed. This panel exhibited a better diagnostic performance for ECC than a single metabolite. These results demonstrate that salivary metabolic signatures can reflect oral conditions associated with dental caries, thereby emphasizing the importance of distinct salivary metabolic profiles as potential biomarkers of ECC.

Indexed as

dental cariesmetabolic profilingnuclear magnetic resonance spectroscopysaliva

Identifiers

PMID36984796
PMCPMC10052657
OpenAlexW4322629278

What OpenQuestion 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 OpenQuestion graph.