Evidence map›Paper›PMID 42824352›Full record

ArticleBone reports2026

Jingxiang Chen, Kaihan Zhuang, Yongpeng Wang, Shengjin Yuan, Zikun Xie, Qinghua Fan, Tao Liu

Abstract read
In one paragraph

Article in Bone reports, 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

7 authors.

Jingxiang ChenSecond Ward, Department of Orthopedics, Qingyuan Qingxin District People's Hospital, GuangDong, China.
Kaihan ZhuangThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong Province, China.
Yongpeng WangSecond Ward, Department of Orthopedics, Qingyuan Qingxin District People's Hospital, GuangDong, China.
Shengjin YuanThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong Province, China.
Zikun XieDivision of Orthopaedic Surgery, Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Qinghua FanSecond Ward, Department of Orthopedics, Qingyuan Qingxin District People's Hospital, GuangDong, China.
Tao LiuSecond Ward, Department of Orthopedics, Qingyuan Qingxin District People's Hospital, GuangDong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Fracture nonunion remains a major orthopaedic challenge, and dysregulation of the bone immune microenvironment is increasingly recognized as a key pathological driver. Methods: Single-cell RNA sequencing was performed on human nonunion tissues to characterize cellular heterogeneity. Network pharmacology and molecular docking analyses were used to identify potential therapeutic targets of Results: Single-cell RNA sequencing revealed M1 macrophage dominance and enhanced M1-mediated communication with osteoblasts and endothelial cells in nonunion tissues. The IL-17 signaling pathway and matrix metalloproteinase-3 were identified as key therapeutic targets. Isolated extracellular vesicles exhibited excellent biocompatibility, promoted M2 macrophage polarization, attenuated inflammation, and enhanced angiogenesis in vitro. In the rat fracture model, treatment with these extracellular vesicles significantly accelerated bone regeneration, as evidenced by increased bone bridging and callus formation. Conclusion: These findings establish a macrophage-centric pathological network in nonunion and demonstrate that

Indexed as

Chaenomeles speciosaExtracellular vesiclesFracture nonunionNetwork pharmacologySingle-cell RNA sequencing

Identifiers

PMID42824352
PMCPMC13627814

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.