Evidence map›Paper›PMID 41716342›Full record

ReviewMaterials today. Bio2026

Biomaterial-assisted gene therapy for bone repair.

Lei Yang, Wenzhao Li, Yunru Yu, Huan Wang, Xiaocheng Wang

Abstract readReview
In one paragraph

Review in Materials today. Bio, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
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

5 authors.

Lei YangZhejiang Provincial Key Laboratory of Silk and Silk Protein New Materials, Institute of Sericulture and Tea, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China.
Wenzhao LiDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China.
Yunru YuPharmaceutical Sciences Laboratory, Åbo Akademi University, Turku, 20520, Finland.
Huan WangThe Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518033, China.
Xiaocheng WangDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bone defects are a prevalent and serious condition that can give rise to pain, deformity, infection, and even serious consequences. However, conventional treatment modalities, whether conservative or surgical, are often limited by suboptimal outcomes, insufficient resources, or potential risks. Biomaterial-assisted gene therapy systems, an emerging interdisciplinary field integrating gene therapy and biomaterial technology, enhance gene therapy targeting, cellular uptake, and gene expression efficiency, facilitating a shift from natural bone grafts to artificial biomaterial substitutes. Below, we present a comprehensive review of current developments in biomaterial-assisted gene therapy for bone repair. Following a brief introduction of bone repair mechanisms and conventional treatment strategies, the foundations of biomaterial-assisted gene therapy for bone repair are elucidated from a holistic perspective, highlighting the three key elements: therapeutic genes, gene vectors, and biomaterials. Furthermore, current challenges and future research directions are discussed. The review is not confined to the summary of a single technology; rather, it aims to establish an overarching concept of biomaterial-assisted gene therapy and serve as a reference for future interdisciplinary studies.

Indexed as

BiomaterialsBone repairGene therapyGene vectorsTissue engineering

Identifiers

PMID41716342
PMCPMC12914212

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.