Evidence map›Paper›PMID 39674503›Full record

ArticleJournal of advanced research2025

Insulin-like growth factor binding protein 7 identified in aged dental pulp by single-cell RNA sequencing.

Zhongchun Tong, Jie Wu, Qimei Gong, Yifang Yuan, Shengchao Wang, Wenkai Jiang

Abstract read
In one paragraph

Article in Journal of advanced research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

  1. Article
  2. [Oral Aging: Age-Related Changes and Their Association With Systemic Aging].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
    Review
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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

6 authors.

Zhongchun TongHospital of Stomatology, Sun Yat-sen University, Guangzhou, Guangdong, China; Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, Guangdong, China; Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, Guangdong, China.
Jie WuHospital of Stomatology, Sun Yat-sen University, Guangzhou, Guangdong, China; Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, Guangdong, China; Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, Guangdong, China.
Qimei GongHospital of Stomatology, Sun Yat-sen University, Guangzhou, Guangdong, China; Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, Guangdong, China; Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, Guangdong, China.
Yifang YuanState Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration & National Clinical Research Center for Oral Diseases & Shaanxi Key Laboratory of Stomatology, Department of Operative Dentistry & Endodontics, School of Stomatology, Fourth Military Medical University, No.145 Western Changle Road, Xi'an, Shaanxi 710032, China.
Shengchao WangState Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration & National Clinical Research Center for Oral Diseases & Shaanxi Key Laboratory of Stomatology, Department of Operative Dentistry & Endodontics, School of Stomatology, Fourth Military Medical University, No.145 Western Changle Road, Xi'an, Shaanxi 710032, China. Electronic address: Wangshengchao@fmmu.edu.cn.
Wenkai JiangState Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration & National Clinical Research Center for Oral Diseases & Shaanxi Key Laboratory of Stomatology, Department of Operative Dentistry & Endodontics, School of Stomatology, Fourth Military Medical University, No.145 Western Changle Road, Xi'an, Shaanxi 710032, China. Electronic address: JiangW6@cardiff.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAging influences the regenerative and reparative functions of dental pulp, and an in-depth and complete understanding of aged dental pulp is highly important.

objectiveThis study aimed to explore the heterogeneity of young and aged dental pulp tissue via single-cell RNA sequencing (scRNA-seq), search novel markers of aged dental pulp, and further explore their mechanism.

methodsScRNA-seq was employed to analyze the heterogeneity of young and aged dental pulp tissue, and immunohistochemical staining was used to detect new marker Insulin-like Growth Factor Binding Protein 7 (IGFBP7) in aged dental pulp. Differentially expressed genes (DEGs) between young and aged dental pulp tissue related with senescence-associated secretory phenotype (SASP) were validated in aging model of H

resultsA total of 32,012 cells were sequenced from 8 dental pulp samples and categorized into 8 main clusters, including fibroblasts (FB), endothelial cells, monocytes, T cells, B cells, mesenchymal stem cells, Schwann cells, and nonmyelinating ScCs. The ratio of fibroblasts was the highest, and FB1 was the largest subcluster of fibroblasts in the young group. In aged dental pulp, the ratio of fibroblasts was relatively low, and fibroblasts had more cellular communication with other cell types in fibroblast growth factor (FGF) and insulin-like growth factor (IGF) signal pathways. IGFBP7 was significantly upregulated in the aged group. Recombinant IGFBP7 reduced the senescence of H

conclusionsThese findings offer insights into the mechanisms of dental pulp aging and enhance our understanding of dental pulp at the single-cell level. Further comprehensive studies are required to clarify the exact mechanisms through which IGFBP7 influences dental pulp aging.

Indexed as

AgingDental PulpInsulin-Like Growth Factor Binding ProteinsAdolescentAdultCells, CulturedCellular SenescenceFemaleFibroblastsHumansHydrogen PeroxideInsulin-Like PeptidesMaleSenescence-Associated Secretory PhenotypeSequence Analysis, RNASingle-Cell AnalysisHydrogen Peroxideinsulin-like growth factor binding protein-related protein 1Insulin-Like Growth Factor Binding ProteinsInsulin-Like PeptidesDental pulpFibroblastIGFBP7SenescenceSingle-cell RNA sequencing

Identifiers

PMID39674503
PMCPMC12793749

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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.