Evidence map›Paper›PMID 36997279›Full record

ArticleOrthodontics & craniofacial research2023

Metabolomic signatures distinguish extracellular vesicles from osteoclasts and odontoclasts.

Wellington J Rody, Nathan G Reuter, Shannen E Brooks, Lina I Hammadi, Macey L Martin, Joy G Cagmat, Timothy J Garrett, L Shannon Holliday

Open access · greenAbstract read
In one paragraph

Article in Orthodontics & craniofacial research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. 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.

Wellington J RodyDepartment of Orthodontics and Dentofacial Orthopedics, University of Pittsburgh, School of Dental Medicine, Pittsburgh, Pennsylvania, 15261, USA.ORCID https://orcid.org/0000-0002-5496-7642
Nathan G ReuterDepartment of Orthodontics, University of Florida College of Dentistry, Gainesville, Florida, 32610, USA.
Shannen E BrooksDepartment of Orthodontics, University of Florida College of Dentistry, Gainesville, Florida, 32610, USA.
Lina I HammadiDepartment of Orthodontics, University of Florida College of Dentistry, Gainesville, Florida, 32610, USA.
Macey L MartinDepartment of Orthodontics, University of Florida College of Dentistry, Gainesville, Florida, 32610, USA.
Joy G CagmatDepartment of Pathology, Immunology, and Laboratory Medicine, University of Florida, Gainesville, Florida, 32610, USA.
Timothy J GarrettDepartment of Pathology, Immunology, and Laboratory Medicine, University of Florida, Gainesville, Florida, 32610, USA.
L Shannon HollidayDepartment of Orthodontics, University of Florida College of Dentistry, Gainesville, Florida, 32610, USA.ORCID https://orcid.org/0000-0002-0844-1965
University of Florida · USUniversity of Pittsburgh · US

Funding

Development of an exosome-based diagnostic platform for periodontal disease and root resorptionR03DE027504 · NIDCR · STATE UNIVERSITY NEW YORK STONY BROOK · PI RODY, WELLINGTON J · 2018 to 2019
$319k
NIDCR NIH HHS R03 DE027504NIH HHS
6 · The paper itself

Abstract

aimsPathological dental root resorption and alveolar bone loss are often detected only after irreversible damage. Biomarkers in the gingival crevicular fluid or saliva could provide a means for early detection; however, such biomarkers have proven elusive. We hypothesize that a multiomic approach might yield reliable diagnostic signatures for root resorption and alveolar bone loss. Previously, we showed that extracellular vesicles (EVs) from osteoclasts and odontoclasts differ in their protein composition. In this study, we investigated the metabolome of EVs from osteoclasts, odontoclasts and clasts (non-resorbing clastic cells). MATERIALS AND

methodsMouse haematopoietic precursors were cultured on dentine, bone or plastic, in the presence of recombinant RANKL and CSF-1 to trigger differentiation along the clastic line. On Day 7, the cells were fixed and the differentiation state and resorptive status of the clastic cells were confirmed. EVs were isolated from the conditioned media on Day 7 and characterized by nanoparticle tracking and electron microscopy to ensure quality. Global metabolomic profiling was performed using a Thermo Q-Exactive Orbitrap mass spectrometer with a Dionex UHPLC and autosampler.

resultsWe identified 978 metabolites in clastic EVs. Of those, 79 are potential biomarkers with Variable Interdependent Parameters scores of 2 or greater. Known metabolites cytidine, isocytosine, thymine, succinate and citrulline were found at statistically higher levels in EVs from odontoclasts compared with osteoclasts.

conclusionWe conclude that numerous metabolites found in odontoclast EVs differ from those in osteoclast EVs, and thus represent potential biomarkers for root resorption and periodontal tissue destruction.

Indexed as

Alveolar Bone LossExtracellular VesiclesRoot ResorptionAnimalsBiomarkersMiceOsteoclastsBiomarkersalveolar bone lossbiomarkerexosomemicrovesicleroot resorption

Identifiers

PMID36997279
PMCPMC10542960
OpenAlexW4361244449

What OpenQuestion holds

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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.