Evidence map›Paper›PMID 40994672›Full record

ArticleFrontiers in bioengineering and biotechnology2025

TiO

Huan Liu, Wangle Zhang, Boya Xu, Dongxuan Cai, Haochen Wang, Xiaofeng Chang, Qin Zhou, Hao Feng, Wen Song, Zhe Li

Abstract read
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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Huan Liu *Key laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, China.
Wangle Zhang *Laboratory of Material Surface Engineering and Nanofabrication, National Key Laboratory of Energetic Materials, State Key Laboratory of Fluorine and Nitrogen Chemicals, Xi'an Modern Chemistry Research Institute, Xi'an, China.
Boya Xu *The 941 Hospital of the Joint Service Support Force of the People's Liberation Army of China, Xining, China.
Dongxuan CaiDepartment of stomatology, The 908th Hospital of the Chinese People's Liberation Army Joint Logistic Support Force, Nanchang, China.
Haochen WangDepartment of Prosthodontics, School of Stomatology, State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Shaanxi Key Laboratory of Stomatology, National Clinical Research Center for Oral Diseases, The Fourth Military Medical University, Xi'an, China.
Xiaofeng ChangKey laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, China.
Qin ZhouKey laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, China.
Hao FengLaboratory of Material Surface Engineering and Nanofabrication, National Key Laboratory of Energetic Materials, State Key Laboratory of Fluorine and Nitrogen Chemicals, Xi'an Modern Chemistry Research Institute, Xi'an, China.
Wen SongDepartment of Prosthodontics, School of Stomatology, State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Shaanxi Key Laboratory of Stomatology, National Clinical Research Center for Oral Diseases, The Fourth Military Medical University, Xi'an, China.
Zhe LiKey laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Soft tissue integration (STI) and antibacterial capability are critical for the long-term success of dental implants. However, achieving both simultaneously remains a major clinical challenge. This study aims to address this challenge by developing a novel surface modification strategy that combines both robust antibacterial properties and favorable soft tissue responses for dental implants. Methods: A novel nanostructured coating was fabricated by embedding hollow platinum nanorods (PtNRs) into titania nanotubes (TNTs) using atomic layer deposition (ALD). The resulting PtNR@TNT platform was characterized to confirm its stable architecture and dual biofunctionality. Structural characterizations were conducted to verify that PtNRs were uniformly deposited along the inner walls of TNTs without compromising the nanotopography or hydrophilicity. Long-term in vitro degradation studies were performed to assess Pt retention and release. The antibacterial performance of the PtNR@TNT platform was evaluated under mild near-infrared (NIR) irradiation (0.5 W cm-2, 42 °C-45 °C) against S. aureus and Results: The PtNR@TNT platform exhibited a stable structure with PtNRs uniformly distributed along the inner walls of TNTs, preserving the nanotopography and hydrophilicity. Long-term degradation studies demonstrated sustained Pt retention and minimal release of platinum (<50 μg L-1 over 12 weeks), indicating excellent safety. Under NIR irradiation, PtNR@TNT showed superior antibacterial activity, achieving over 99% bacterial reduction against Discussion: The findings from this study suggest that the PtNR@TNT platform offers a promising surface modification strategy for dental implants. It combines robust antibacterial efficacy with favorable soft tissue responses under clinically safe photothermal conditions. The dual biofunctionalities, including enhanced antibacterial performance and improved soft tissue integration, make the PtNR@TNT platform a promising candidate for advancing dental implant technology.

Indexed as

antibacterialatomic layer depositiondental implantfibroblastmild photothermal therapy

Identifiers

PMID40994672
PMCPMC12454311

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.