Evidence map›Paper›PMID 40624956›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Dual-Biomimetic Bone Adhesive with Osteoimmunomodulatory Capabilities for Anatomical Reconstruction of Comminuted Fractures.

Junyao Cheng, Hufei Wang, Ming Li, Jianpeng Gao, Xiao Liu, Chuyue Zhang, Pengfei Chi, Bo Li, Yuan Xve, Daoyang Fan and 4 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Advancing Nanomedicine: For Bone Defect Repair and Regeneration.International journal of nanomedicine · 2025
    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

14 authors.

Junyao ChengDepartment of Orthopedics, Chinese PLA General Hospital, Beijing, 100853, China.
Hufei WangDepartment of Orthopedics, Chinese PLA General Hospital, Beijing, 100853, China.
Ming LiDepartment of Orthopedics, Chinese PLA General Hospital, Beijing, 100853, China.
Jianpeng GaoDepartment of Orthopedics, Chinese PLA General Hospital, Beijing, 100853, China.
Xiao LiuDepartment of Orthopedics, Chinese PLA General Hospital, Beijing, 100853, China.
Chuyue ZhangDepartment of Orthopedics, Chinese PLA General Hospital, Beijing, 100853, China.
Pengfei ChiDepartment of Orthopedics, Chinese PLA General Hospital, Beijing, 100853, China.
Bo LiDepartment of Orthopedics, Chinese PLA General Hospital, Beijing, 100853, China.
Yuan XveDepartment of Orthopedics, Chinese PLA General Hospital, Beijing, 100853, China.
Daoyang FanBeijing National Laboratory for Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, China.
Zheng WangDepartment of Orthopedics, Chinese PLA General Hospital, Beijing, 100853, China.
Jianheng LiuDepartment of Orthopedics, Chinese PLA General Hospital, Beijing, 100853, China.
Xing WangBeijing National Laboratory for Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, China.
Licheng ZhangDepartment of Orthopedics, Chinese PLA General Hospital, Beijing, 100853, China.ORCID 0000-0002-6782-1749

Funding

Beijing Natural Science Foundation F252056Beijing Natural Science Foundation L244037Military Logistics Key Program 145-BHQ090003000×13National Defense Science and Technology Fund for Distinguished Young Scholars 2021-JCJQ-ZQ-020National Natural Science Foundation of China 51973226National Natural Science Foundation of China 52373162National Natural Science Foundation of China 82172392National Natural Science Foundation of China 82402814National Science Fund for Distinguished Young Scholars 2020-JQPY-003
6 · The paper itself

Abstract

The development of bone adhesives capable of restoring natural bone structure and function represents a pioneering advancement in surgical technology, offering significant potential to improve the treatment outcomes of comminuted fractures. However, the development of a clinically demand-driven adhesive, ensuring both reliable adhesion and osteogenic activity, poses a significant challenge. Herein, a structurally and functionally dual-biomimetic bone adhesive is developed through the design of an organic-inorganic network-enhanced hydrogel, which integrates caffeic acid-grafted collagen (CAC), aminated laponite (ALAP), and N-hydroxysuccinimide ester-terminated polyethylene glycol (tetra-PEG-SC). Benefiting from nanosheet-induced strengthening, the mechanically reinforced adhesive can maintain integrity under extreme compression (98%) and tensile (600%) deformations, facilitating anatomical repositioning of rabbit radius and porcine femur fractures. Of greater importance, the adhesive accelerated fracture healing, potentially via ROS scavenging and immunomodulation, as evidenced by reduced oxidative stress and M2 macrophage polarization in vitro. Assessed through an innovative rabbit radius comminuted fracture model, the injectable bone adhesive demonstrates rapid and flexible adhesion of bone fragments in a blood-rich environment, as observed over the 2 fold improvement in biomechanical and radiological performance compared with commercially available cyanoacrylate adhesives. This intricately designed bone adhesive holds promise as a novel solution for addressing complex fracture cases in surgical treatment.

Indexed as

Biomimetic MaterialsBone CementsFracture HealingFractures, ComminutedPlastic Surgery ProceduresAnimalsImmunomodulationOsteogenesisRabbitsSwineBone Cementsbiocompatibilitybone adhesivecomplex fractureosteogenesisrobust adhesion

Identifiers

PMID40624956
PMCPMC12407313

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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.