Evidence map›Paper›PMID 41645206›Full record

ArticleJournal of nanobiotechnology2026

Mitochondrial protein-enriched artificial nanovesicles: mitochondrial recovery and antioxidation for diabetic wound treatment.

Junhao Xia, Lizhi Wang, Yang Song, Mengru Zhu, Yu Xu, Jia Liu, Xin Guan, Qingwen Zhang, Keman He, Fengya Wang and 2 more

Abstract read
In one paragraph

Article in Journal of nanobiotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Junhao XiaStem Cell Clinical Research Center, The First Afliated Hospital of Dalian Medical University, No.222 Zhonshan Road, Xigang District, Dalian, 116011, China.
Lizhi WangStem Cell Clinical Research Center, The First Afliated Hospital of Dalian Medical University, No.222 Zhonshan Road, Xigang District, Dalian, 116011, China.
Yang SongStem Cell Clinical Research Center, The First Afliated Hospital of Dalian Medical University, No.222 Zhonshan Road, Xigang District, Dalian, 116011, China.
Mengru ZhuStem Cell Clinical Research Center, The First Afliated Hospital of Dalian Medical University, No.222 Zhonshan Road, Xigang District, Dalian, 116011, China.
Yu XuStem Cell Clinical Research Center, The First Afliated Hospital of Dalian Medical University, No.222 Zhonshan Road, Xigang District, Dalian, 116011, China.
Jia LiuStem Cell Clinical Research Center, The First Afliated Hospital of Dalian Medical University, No.222 Zhonshan Road, Xigang District, Dalian, 116011, China.
Xin GuanStem Cell Clinical Research Center, The First Afliated Hospital of Dalian Medical University, No.222 Zhonshan Road, Xigang District, Dalian, 116011, China.
Qingwen ZhangStem Cell Clinical Research Center, The First Afliated Hospital of Dalian Medical University, No.222 Zhonshan Road, Xigang District, Dalian, 116011, China.
Keman HeStem Cell Clinical Research Center, The First Afliated Hospital of Dalian Medical University, No.222 Zhonshan Road, Xigang District, Dalian, 116011, China.
Fengya WangStem Cell Clinical Research Center, The First Afliated Hospital of Dalian Medical University, No.222 Zhonshan Road, Xigang District, Dalian, 116011, China.
Lukuan LiuStem Cell Clinical Research Center, The First Afliated Hospital of Dalian Medical University, No.222 Zhonshan Road, Xigang District, Dalian, 116011, China. lukuanliu@163.com.ORCID http://orcid.org/0000-0001-6603-0411
Jing LiuStem Cell Clinical Research Center, The First Afliated Hospital of Dalian Medical University, No.222 Zhonshan Road, Xigang District, Dalian, 116011, China. liujing@dmu.edu.cn.

Funding

DMU-1&DICP DMU-1&DICP UN202204the Dalian High-level Talent Team Project No. 2022RG18the Liaoning Directed Project for Planning of Science and Technology No. 2021JH2/10300135the National Natural Science Foundation of China No. 22004012the Natural Science Foundation of Liaoning Province No. 2023-BSBA-098
6 · The paper itself

Abstract

Oxidative stress and mitochondrial dysfunction are major barriers to the healing of diabetic wounds (DW). Eliminating reactive oxygen species (ROS) and restoring mitochondrial function are considered effective strategies to accelerate DW healing. Although extracellular vesicles (EVs) derived from mesenchymal stem cells (MSCs) have shown therapeutic potential, the quality and yield of mitochondrial components in naturally secreted EVs are limited. Thus, we employed a top-down approach, using the self-assembly properties of membrane components to develop artificial nanovesicles enriched with mitochondria-associated proteins derived from human umbilical cord MSCs. These cell-derived nanovesicles (CNVs) selectively encapsulate mitochondrial proteins, effectively reducing intracellular ROS levels and specifically restoring mitochondrial membrane potential (∆Ψm) and morphology. Furthermore, the CNVs demonstrate remarkable antioxidant and mitochondrial functional restoration capacity, involving the restoration of mitochondrial complexes I, Ⅲ, V and the uncoupling process, as well as multiple mitochondrial function-associated pathways, such as the ALDH2/HADHA/HADHB axis, the IDH2/GSR/GSH axis, and the Ca

Indexed as

AntioxidantsDiabetes Mellitus, ExperimentalExtracellular VesiclesMitochondriaMitochondrial ProteinsWound HealingAnimalsHumansMaleMembrane Potential, MitochondrialMesenchymal Stem CellsMiceNanoparticlesOxidative StressReactive Oxygen SpeciesAntioxidantsMitochondrial ProteinsReactive Oxygen SpeciesCell-derived nanovesiclesDiabetic woundsMesenchymal stem cellsMitochondrionOxidative stress

Identifiers

PMID41645206
PMCPMC12964820

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.