Evidence map›Paper›PMID 41659746›Full record

ArticleBioactive materials2026

Assembly of bioinspired multifunctional microspheres for enhanced alveolar bone regeneration.

Yingzi Li, Qian Li, Zhaoming Deng, Xiaohua Liu

Abstract read
In one paragraph

Article in Bioactive materials, 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

4 authors.

Yingzi LiChemical and Biomedical Engineering Department, University of Missouri, Columbia, MO, 65211, USA.
Qian LiNextGen Precision Health Institute, University of Missouri, Columbia, MO, 65211, USA.
Zhaoming DengNextGen Precision Health Institute, University of Missouri, Columbia, MO, 65211, USA.
Xiaohua LiuChemical and Biomedical Engineering Department, University of Missouri, Columbia, MO, 65211, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regeneration of the alveolar bone remains a major clinical challenge due to the complex oral microenvironment and the need for coordinated restoration of multiple tissue types. To overcome these hurdles, biomaterials designed for periodontal regeneration must meet a rigorous set of criteria, including excellent injectability, mechanical stability, selective cell repopulation, and strong osteoinductive capacity. In this study, we developed a bioinspired, multifunctional microsphere system that fulfills these requirements. The system is injectable, mechanically robust, selectively binds bone marrow-derived stem cells (BMSCs), and exhibits potent osteoinductivity. These multifunctional properties were achieved by UV-assembling nanofibrous hollow microspheres (NFH-MS), conjugating the BMSC-specific E7 peptide to the nanofibrous shell, and encapsulating a bone-forming peptide (BFP) within the hollow core. UV-assembly enhanced the scaffold's mechanical integrity, generated interconnected macropores to support cell infiltration, and promoted intercellular communication. Notably, it significantly upregulated Connexin 43 and N-cadherin-mediated junctions, further facilitating cellular interactions. In synergy with E7 and BFP, the UV-assembled NFH-MS scaffold markedly improved BMSC adhesion, osteogenic differentiation, and biomineralization. This bioinspired multifunctional NFH-MS platform demonstrated superior alveolar bone regeneration in a rat fenestration defect model, offering a promising and minimally invasive strategy for periodontal tissue engineering.

Indexed as

BiomimeticBoneInjectableMicrospheresPeriodontitisRegeneration

Identifiers

PMID41659746
PMCPMC12879012

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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.