Evidence map›Paper›PMID 38758416›Full record

ArticleClinical oral investigations2024

Comparative proteomic analysis of dental pulp from supernumerary and normal permanent teeth.

Kritkamon Lertruangpanya, Sittiruk Roytrakul, Rudee Surarit, Sivaporn Horsophonphong

Abstract readComparative Study
In one paragraph

Article in Clinical oral investigations, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Flow cytometry for assessing pulp viability in pediatric dentistry: An exploratory study.Journal of dental research, dental clinics, dental prospects · 2025
    Article
  3. Proteomic analysis of dental pulp from deciduous teeth in comparison to permanent teeth: an in-vitro study.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2025
    Article
  4. Article
  5. Article
  6. Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Kritkamon LertruangpanyaDepartment of Pediatric Dentistry, Faculty of Dentistry, Mahidol University, 6 Yothi Road, Ratchathewi, Bangkok, Thailand.
Sittiruk RoytrakulFunctional Proteomics Technology Laboratory, National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Pathumthani, Thailand.
Rudee SuraritDepartment of Oral Biology, Faculty of Dentistry, Mahidol University, Bangkok, Thailand.
Sivaporn HorsophonphongDepartment of Pediatric Dentistry, Faculty of Dentistry, Mahidol University, 6 Yothi Road, Ratchathewi, Bangkok, Thailand. sivaporn.hor@mahidol.ac.th.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo obtain and compare the protein profiles of supernumerary and normal permanent dental pulp tissues. MATERIALS AND

methodsDental pulp tissues were obtained from supernumerary and normal permanent teeth. Proteins were extracted and analyzed by liquid chromatography-tandem mass spectrometry (LC/MS-MS). Protein identification and quantification from MS data was performed with MaxQuant. Statistical analysis was conducted using Metaboanalyst to identify differentially expressed proteins (DEPs) (P-value < 0.05, fold-change > 2). Gene Ontology enrichment analyses were performed with gProfiler.

resultsA total of 3,534 proteins were found in normal dental pulp tissue and 1,093 in supernumerary dental pulp tissue, with 174 DEPs between the two groups. This analysis revealed similar functional characteristics in terms of cellular component organization, cell differentiation, developmental process, and response to stimulus, alongside exclusive functions unique to normal permanent dental pulp tissues such as healing, vascular development and cell death. Upon examination of DEPs, these proteins were associated with the processes of wound healing and apoptosis.

conclusionsThis study provides a comprehensive understanding of the protein profile of dental pulp tissue, including the first such profiling of supernumerary permanent dental pulp. There are functional differences between the proteomic profiles of supernumerary and normal permanent dental pulp tissue, despite certain biological similarities between the two groups. Differences in protein expression were identified, and the identified DEPs were linked to the healing and apoptosis processes. CLINICAL RELEVANCE: This discovery enhances our knowledge of supernumerary and normal permanent pulp tissue, and serves as a valuable reference for future studies on supernumerary teeth.

Indexed as

Dental PulpProteomicsTandem Mass SpectrometryTooth, SupernumeraryAdolescentChildChromatography, LiquidDentition, PermanentFemaleHumansMaleDental pulpMesiodensProteomicsSupernumerary tooth

Identifiers

PMID38758416
PMCPMC11101566

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LicenceCC BY
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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 OpenQuestion graph.