Evidence map›Paper›PMID 40069803›Full record

ArticleJournal of nanobiotechnology2025

Mitochondria-targeted nanovesicles for ursodeoxycholic acid delivery to combat neurodegeneration by ameliorating mitochondrial dysfunction.

Shizheng Zhang, Mengmeng Li, Yuan Li, Shike Yang, Jian Wang, Xiaoxiang Ren, Xiuhui Wang, Long Bai, Jianping Huang, Zhen Geng and 3 more

Abstract read
In one paragraph

Article in Journal of nanobiotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 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

13 authors.

Shizheng Zhang *Department of Neurology, Wenzhou Central Hospital, Wenzhou, 325000, China.
Mengmeng Li *Institute of Translational Medicine, Shanghai University, Shanghai, 200444, China. mengmengli@shu.edu.cn.
Yuan Li *The Second Affiliated Hospital of Shanghai University, Wenzhou, 325000, China.
Shike Yang *Institute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Jian WangInstitute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Xiaoxiang RenInstitute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Xiuhui WangInstitute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Long BaiInstitute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Jianping HuangDepartment of Neurology, Wenzhou Central Hospital, Wenzhou, 325000, China.
Zhen GengInstitute of Translational Medicine, Shanghai University, Shanghai, 200444, China. nanboshan1987@163.com.
Guosheng HanDepartment of Neurosurgery, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200434, China. hgsxing72@tongji.edu.cn.
Yibin FangStroke Center, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200434, China. fangyibin@163.com.
Jiacan SuInstitute of Translational Medicine, Shanghai University, Shanghai, 200444, China. drsujiacan@163.com.

Funding

National Natural Science Foundation of China 32471395National Natural Science Foundation of China 82230071, 82172098National Natural Science Foundation of China 82472156Natural Science Foundation of Fujian Province 2024J08122Natural Science Foundation of Shanghai 22ZR1423400
6 · The paper itself

Abstract

Mitochondria are pivotal in sustaining oxidative balance and metabolic activity within neurons. It is well-established that mitochondrial dysfunction constitutes a fundamental pathogenic mechanism in neurodegeneration, especially in the context of Parkinson's disease (PD), this represents a promising target for therapeutic intervention. Ursodeoxycholic acid (UDCA), a clinical drug used for liver disease, possesses antioxidant and mitochondrial repair properties. Recently, it has gained attention as a potential therapeutic option for treating various neurodegenerative diseases. However, multiple barriers, including the blood-brain barrier (BBB) and cellular/mitochondrial membranes, significantly hinder the efficient delivery of therapeutic agents to the damaged neuronal mitochondria. Macrophage-derived nanovesicles (NVs), which can traverse the BBB in response to brain inflammation signals, have demonstrated promising tools for brain drug delivery. Nevertheless, natural nanovesicles inherently lack the ability to specifically target mitochondria. Herein, artificial NVs are loaded with UDCA and then functionalized with triphenylphosphonium (TPP) molecules, denoted as UDCA-NVs-TPP. These nanovesicles specifically accumulate in damaged neuronal mitochondria, reduce oxidative stress, and enhance ATP production by 42.62%, thereby alleviating neurotoxicity induced by 1-methyl-4-phenylpyridinium (MPP+). Furthermore, UDCA-loaded NVs modified with TPP successfully cross the BBB and accumulate in the striatum of PD mice. These nanoparticles significantly improve PD symptoms, as demonstrated by a 48.56% reduction in pole climb time, a 59.09% increase in hanging ability, and the restoration of tyrosine hydroxylase levels to normal, achieving remarkable therapeutic efficacy. Our work highlights the immense potential of these potent UDCA-loaded, mitochondria-targeting nanovesicles for efficient treatment of PD and other central neurodegenerative diseases.

Indexed as

MitochondriaNanoparticlesNeurodegenerative DiseasesUrsodeoxycholic AcidAnimalsBlood-Brain BarrierDrug Delivery SystemsHumansMaleMiceMice, Inbred C57BLNeuroprotective AgentsOxidative StressParkinson DiseaseRAW 264.7 CellsNeuroprotective AgentsUrsodeoxycholic AcidBBBMitochondrial dysfunctionMitochondrial targetingMNVsNeurodegenerative diseasesUDCA

Identifiers

PMID40069803
PMCPMC11895296

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.