Evidence map›Paper›PMID 40529175›Full record

ArticleFrontiers in bioengineering and biotechnology2025

Optimization of a novel dental self-healing resin composite by bacteria-induced biomineralization.

Yanyan Han, Xiaoxuan Zhang, Jianing Weng, Shiqi Tian, Xian Dong, Zhiheng Cai, Yi Zhang, Tiantian Wu, Dan Lin, Yaqin Zhu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 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

10 authors.

Yanyan HanDepartment of General Dentistry, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaoxuan ZhangShanghai Jiao Tong University School of Medicine, Shanghai, China.
Jianing WengShanghai Jiao Tong University School of Medicine, Shanghai, China.
Shiqi TianShanghai Jiao Tong University School of Medicine, Shanghai, China.
Xian DongShanghai University of Medicine and Health Sciences, College of of Medical Technology, Shanghai, China.
Zhiheng CaiDepartment of General Dentistry, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yi ZhangShanghai University of Medicine and Health Sciences, College of of Medical Technology, Shanghai, China.
Tiantian WuDepartment of General Dentistry, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Dan LinShanghai University of Medicine and Health Sciences, College of of Medical Technology, Shanghai, China.
Yaqin ZhuDepartment of General Dentistry, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Dental resin restorations often fail due to microcrack expansion, causing fractures and secondary caries. Self-healing resin composites based on Microbially Induced Calcium Carbonate Precipitation (MICP) offer a solution. In these composites, moisture and air activate bacteria to precipitate calcium carbonate (CaCO Methods: This study involved the optimization of nutrients to enhance biocompatibility, the preparation of dental resin composites incorporating eight different bacterial strains, the investigation of Mn Results: In the final results, Discussion: This dental self-healing resin composite can undergo multiple rounds of self-repair and boasts high biocompatibility, leading to a significant reduction in the failure rate of dental resin restorations.

Indexed as

bacteriabiomineralizationCaCO3MICPself-healing

Identifiers

PMID40529175
PMCPMC12171228

What OpenQuestion holds

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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.