Evidence map›Paper›PMID 40797245›Full record

ArticleBMC oral health2025

Identification of candidate immunity biomarkers associated with age-related variations in osteoclast activity in a mouse model of orthodontic tooth movement.

Rui Zhang, Kai Yang, Lulu He, Zhen Chen, Yuhong Li, Shengfu Huang

Abstract read
In one paragraph

Article in BMC oral health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Rui Zhang *State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China.
Kai Yang *State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China.
Lulu HeState Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China.
Zhen ChenState Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China.
Yuhong LiState Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China. 1004809372@whu.edu.cn.
Shengfu HuangState Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China. shengfuh2006@whu.edu.cn.

Funding

Kai Yang 82201043Yuhong Li 81271190
6 · The paper itself

Abstract

backgroundThis study provides a comprehensive examination of the influence of age on osteoclast activity during orthodontic tooth movement, analyzed through the lens of osteoimmunology, identifying key immune molecules and cells involved in the regulation.

methodsC57BL/6 mice of two different age groups were utilized, with each group subjected to an orthodontic tooth movement (OTM) model established between the maxillary first molar and maxillary incisors on the left side for durations of 7 and 14 days. For RNA sequencing, total RNA was extracted from the alveolar bone surrounding the first molar. Bioinformatics analyses were conducted to identify key molecules and cells associated with local osteoclast activity across different age groups. The findings were validated through immunofluorescence examination, quantitative real-time polymerase chain reaction (qRT-PCR) and in vitro cell experiments.

resultsIn comparison to the control group, 227 up-regulated and 206 down-regulated differently expressed genes (DEGs) were identified on day 7 in the younger group, while 152 up-regulated and 63 down-regulated DEGs were identified on day 14. In the older group, 90 up-regulated and 243 down-regulated DEGs were found on day 7, and 31 up-regulated and 45 down-regulated DEGs on day 14. The up-regulated DEGs were significantly enriched in pathways related to immune response, inflammatory response and osteoclast formation. In adult cohorts, genes were predominantly associated with bone metabolism processes, including osteoclast and osteoblast differentiation. Conversly, in young cohorts, genes were primarily linked to inflammation-related processes, such as inflammatory and immune responses, as well as cellular responses to cytokine stimuli. The top 10 immune-related genes in two age groups were identified. Immunofluorescence staining revealed an increased expression of CCL3, CCL2, CXCL2, and CCR1 which were colocalized with macrophages.

conclusionsWe identified key molecules that play an important role in orthodontic bone reconstruction by analyzing the differences in immune inflammatory differential gene expression across different age groups. These molecules, which facilitate macrophage migration to the local site and their differentiation into osteoclasts, as well as directly enhance osteoclast differentiation and function, are differentially expressed in young groups, but not in adult groups.

Indexed as

OsteoclastsTooth Movement TechniquesAge FactorsAnimalsBiomarkersMaleMiceMice, Inbred C57BLModels, AnimalBiomarkersGene expression profileMacrophageOrthodontic tooth movementOsteoclast differentiationRNA sequence analysis

Identifiers

PMID40797245
PMCPMC12341288

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.