Evidence map›Paper›PMID 39371940›Full record

ReviewJournal of tissue engineering

Exosomal non-coding RNAs: Emerging insights into therapeutic potential and mechanisms in bone healing.

Huixin Shi, Yang Yang, Hao Xing, Jialin Jia, Wei Xiong, Shu Guo, Shude Yang

Abstract readReview
In one paragraph

Review in Journal of tissue engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Huixin ShiDepartment of Plastic Surgery, The First Hospital of China Medical University, Shenyang, China.
Yang YangDepartment of Rehabilitation, The First Hospital of China Medical University, Shenyang, China.
Hao XingDepartment of Plastic Surgery, The First Hospital of China Medical University, Shenyang, China.
Jialin JiaDepartment of Plastic Surgery, The First Hospital of China Medical University, Shenyang, China.
Wei XiongDepartment of Plastic Surgery, The First Affiliated Hospital of Medical College of Shihezi University, Shihezi, Xinjiang, China.
Shu GuoDepartment of Plastic Surgery, The First Hospital of China Medical University, Shenyang, China.
Shude YangDepartment of Plastic Surgery, The First Hospital of China Medical University, Shenyang, China.ORCID https://orcid.org/0000-0002-5562-6014

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosomes are nano-sized extracellular vesicles (EVs) released by diverse types of cells, which affect the functions of targeted cells by transporting bioactive substances. As the main component of exosomes, non-coding RNA (ncRNA) is demonstrated to impact multiple pathways participating in bone healing. Herein, this review first introduces the biogenesis and secretion of exosomes, and elucidates the role of the main cargo in exosomes, ncRNAs, in mediating intercellular communication. Subsequently, the potential molecular mechanism of exosomes accelerating bone healing is elucidated from the following four aspects: macrophage polarization, vascularization, osteogenesis and osteoclastogenesis. Then, we systematically introduce construction strategies based on modified exosomes in bone regeneration field. Finally, the clinical trials of exosomes for bone healing and the challenges of exosome-based therapies in the biomedical field are briefly introduced, providing solid theoretical frameworks and optimization methods for the clinical application of exosomes in orthopedics.

Indexed as

biomaterialsbone healingengineered modificationExosomal non-coding RNAsmechanism

Identifiers

PMID39371940
PMCPMC11456177

What OpenQuestion holds

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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 OpenQuestion graph.