Evidence map›Paper›PMID 42642359›Full record

ArticleInternational journal of oral science2026

TLR9-engineered photoresponsive biomimetic nanodecoys for targeted NETs clearance to mitigate periodontitis-associated bone resorption.

Siyan Liu, Yitong Liu, Yingyi Chen, Yao Jiao, Rui Zhao, Yijia Wang, Jiebing Zhang, Shuang Zhang, Yi Liu, Lijia Guo

Abstract read
In one paragraph

Article in International journal of oral science, 2026. 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.

Siyan Liu *Laboratory of Tissue Regeneration and Immunology and Department of Periodontics, Beijing Key Laboratory of Tooth Regeneration and Function Reconstruction, School of Stomatology, Capital Medical University, Beijing, China.
Yitong Liu *Laboratory of Tissue Regeneration and Immunology and Department of Periodontics, Beijing Key Laboratory of Tooth Regeneration and Function Reconstruction, School of Stomatology, Capital Medical University, Beijing, China.
Yingyi ChenLaboratory of Tissue Regeneration and Immunology and Department of Periodontics, Beijing Key Laboratory of Tooth Regeneration and Function Reconstruction, School of Stomatology, Capital Medical University, Beijing, China.
Yao JiaoDepartment of Stomatology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Rui ZhaoLaboratory of Tissue Regeneration and Immunology and Department of Periodontics, Beijing Key Laboratory of Tooth Regeneration and Function Reconstruction, School of Stomatology, Capital Medical University, Beijing, China.
Yijia WangLaboratory of Tissue Regeneration and Immunology and Department of Periodontics, Beijing Key Laboratory of Tooth Regeneration and Function Reconstruction, School of Stomatology, Capital Medical University, Beijing, China.
Jiebing ZhangSchool of Stomatology, Capital Medical University, Beijing, China.
Shuang ZhangSchool of Pharmaceutical Sciences, Capital Medical University, Beijing, China.
Yi LiuLaboratory of Tissue Regeneration and Immunology and Department of Periodontics, Beijing Key Laboratory of Tooth Regeneration and Function Reconstruction, School of Stomatology, Capital Medical University, Beijing, China. lililiuyi@163.com.ORCID http://orcid.org/0000-0002-4998-5547
Lijia GuoDepartment of Orthodontics (Wangfujing Campus), School of Stomatology, Capital Medical University, Beijing, China. drguolijia@163.com.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82201053National Natural Science Foundation of China (National Science Foundation of China) 82470936National Natural Science Foundation of China (National Science Foundation of China) 82571088Natural Science Foundation of Beijing Municipality (Beijing Natural Science Foundation) L2510006Natural Science Foundation of Beijing Municipality (Beijing Natural Science Foundation) L2510103
6 · The paper itself

Abstract

Periodontitis is a widespread and multifactorial inflammatory disease, that leads to the progressive destruction of periodontal tissues and resorption of alveolar bone. The treatment of periodontitis is complicated by complex interactions between the host and oral microbiota, as well as difficulties in obtaining satisfactory treatment effects. Although neutrophil extracellular traps (NETs) participate in the process of disease development induced by periodontitis, their persistent accumulation aggravates inflammatory injury and prevents regenerative processes. Therefore, on the basis of the identification of Toll-like receptor 9 (TLR9) as an important receptor for NETs recognition, a biomimetic and photoresponsive nanodecoy system was designed for the enhanced targeting and efficient degradation of NETs. Taking advantage of the inherent DNA-binding property of TLR9 and incorporating DNase I, this nanodecoy system was designed to drive effective NETs clearance. Under near-infrared radiation, the nanodecoys demonstrate photothermal properties to enhance the clearance of NETs and create an environment conducive to bone regeneration. Moreover, this design inhibits osteoclast overactivation and promotes osteoblast-mediated mineralization to modulate the bone remodeling process. These results demonstrate a promising targeted treatment strategy for periodontitis, which includes the targeting and clearance of NETs and inducing bone regeneration.

Indexed as

Alveolar Bone LossBiomimetic MaterialsBone ResorptionExtracellular TrapsPeriodontitisToll-Like Receptor 9AnimalsBiomimeticsBone RegenerationHumansOsteoblastsOsteoclastsToll-Like Receptor 9

Identifiers

PMID42642359
PMCPMC13507334

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.