Evidence map›Paper›PMID 24007660›Full record

ArticleJournal of proteomics2013

Proteomic analysis of human dental cementum and alveolar bone.

Cristiane R Salmon, Daniela M Tomazela, Karina Gonzales Silvério Ruiz, Brian L Foster, Adriana Franco Paes Leme, Enilson Antonio Sallum, Martha J Somerman, Francisco H Nociti

Abstract read
In one paragraph

Article in Journal of proteomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

47 citing papers in PubMed, 99 citations in OpenAlex.

  1. Article
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  9. A Chemically Defined Culture for Tooth Reconstitution.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  10. Article
  11. Article
  12. Acellular Extrinsic Fiber Cementum Is Invariably Present in the Superficial Layer of Apical Cementum in Mouse Molar.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2024
    Article
  13. Article
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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 at 4 institutions in 2 countries.

Cristiane R SalmonDepartment of Prosthodontics and Periodontics, Division of Periodontics, School of Dentistry, Campinas State University, Piracicaba, SP, Brazil.
Daniela M Tomazela
Karina Gonzales Silvério Ruiz
Brian L Foster
Adriana Franco Paes Leme
Enilson Antonio Sallum
Martha J Somerman
Francisco H Nociti
National Institutes of Health · USUniversidade Estadual de Campinas (UNICAMP) · BRBrazilian Biosciences National Laboratory · BRMerck & Co., Inc., Rahway, NJ, USA (United States) · US

Funding

Laboratory of Oral Connective Tissue BiologyZIAAR041196 · NIAMS · NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES · PI SOMERMAN, MARTHA · 2013 to 2021
$8.9M
Intramural NIH HHS Z99 AA999999Intramural NIH HHS Z99 AR999999Intramural NIH HHS Z99 DA999999Intramural NIH HHS ZIA AR041196
6 · The paper itself

Abstract

Dental cementum (DC) is a bone-like tissue covering the tooth root and responsible for attaching the tooth to the alveolar bone (AB) via the periodontal ligament (PDL). Studies have unsuccessfully tried to identify factors specific to DC versus AB, in an effort to better understand DC development and regeneration. The present study aimed to use matched human DC and AB samples (n=7) to generate their proteomes for comparative analysis. Bone samples were harvested from tooth extraction sites, whereas DC samples were obtained from the apical root portion of extracted third molars. Samples were denatured, followed by protein extraction reduction, alkylation and digestion for analysis by nanoAcquity HPLC system and LTQ-FT Ultra. Data analysis demonstrated that a total of 318 proteins were identified in AB and DC. In addition to shared proteins between these tissues, 105 and 83 proteins exclusive to AB or DC were identified, respectively. This is the first report analyzing the proteomic composition of human DC matrix and identifying putative unique and enriched proteins in comparison to alveolar bone. These findings may provide novel insights into developmental differences between DC and AB, and identify candidate biomarkers that may lead to more efficient and predictable therapies for periodontal regeneration. BIOLOGICAL SIGNIFICANCE: Periodontal disease is a highly prevalent disease affecting the world population, which involves breakdown of the tooth supporting tissues, the periodontal ligament, alveolar bone, and dental cementum. The lack of knowledge on specific factors that differentiate alveolar bone and dental cementum limits the development of more efficient and predictable reconstructive therapies. In order to better understand cementum development and potentially identify factors to improve therapeutic outcomes, we took the unique approach of using matched patient samples of dental cementum and alveolar bone to generate and compare a proteome list for each tissue. A potential biomarker for dental cementum was identified, superoxide dismutase 3 (SOD3), which is found in cementum and cementum-associated cells in mouse, pig, and human tissues. These findings may provide novel insights into developmental differences between alveolar bone and dental cementum, and represent the basis for improved and more predictable therapies.

Indexed as

BiomarkersBone and BonesDental CementumDentinExtracellular MatrixHumansMolarPeriodontal LigamentProteomeProteomicsRegenerationSuperoxide DismutaseTooth RootBiomarkersProteomeSOD3 protein, humanSuperoxide DismutaseAlveolar boneDental cementumDentinPeriodontal ligamentProteomic analysisSuperoxide dismutase 3

Identifiers

PMID24007660
PMCPMC3873800
OpenAlexW2073475782

What OpenQuestion holds

Textmetadata
LicenceTDM
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.