Evidence map›Paper›PMID 40051679›Full record

ArticleFrontiers in chemistry2025

Construction of pH-responsive hydrogel coatings on titanium surfaces for antibacterial and osteogenic properties.

Shan Peng, Yueru Liu, Wei Zhao, Xinpeng Liu, Ronghua Yu, Yonglin Yu

Abstract read
In one paragraph

Article in Frontiers in chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
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  5. 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.

Shan PengDepartment of Pathology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Yueru LiuDepartment of Pathology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Wei ZhaoDepartment of Pathology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Xinpeng LiuDepartment of Pathology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Ronghua YuDepartment of Pathology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Yonglin YuDepartment of Pathology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infection is one of the leading causes of failure in titanium-based implant materials during clinical surgeries, often resulting in delayed or non-union of bone healing. Furthermore, the overuse of antibiotics can lead to bacterial resistance. Therefore, developing a novel titanium-based implant material with both antimicrobial and osteogenic properties is of great significance. In this study, chitosan (CS), polydopamine (PDA), and antimicrobial peptides (AMPs) HHC36 were applied to modify the surface of titanium, resulting in the successful preparation of the composite material Ti-PDA-CS/PDA@HHC36 (abbreviated as T-P-C/P@H). CS promotes osteogenesis and cell adhesion, providing an ideal microenvironment for bone repair. PDA enhances the material's biocompatibility and corrosion resistance, offering cell adhesion sites, while both components exhibit pH-responsive characteristics. The HHC36 effectively prevents infection, protecting the bone repair material from bacterial damage. Overall, the synergistic effects of these components in T-P-C/P@H not only confer excellent antimicrobial and osteogenic properties but also improve biocompatibility, offering a new strategy for applying titanium-based implants in clinical settings.

Indexed as

antibacterial activityantimicrobial peptidesbiocompatibilitychitosanosteogenic abilitypolydopaminetitanium

Identifiers

PMID40051679
PMCPMC11883361

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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.