Evidence map›Paper›PMID 38828204›Full record

ArticleInternational journal of nanomedicine2024

Engineered Exosomes Containing microRNA-29b-2 and Targeting the Somatostatin Receptor Reduce Presenilin 1 Expression and Decrease the β-Amyloid Accumulation in the Brains of Mice with Alzheimer's Disease.

En-Yi Lin, Shao-Xi Hsu, Bing-Hua Wu, Yu-Chen Deng, Wei Wuli, Yuan-Sheng Li, Jui-Hao Lee, Shinn-Zong Lin, Horng-Jyh Harn, Tzyy-Wen Chiou

Abstract read
In one paragraph

Article in International journal of nanomedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

En-Yi LinDepartment of Life Science and Graduate Institute of Biotechnology, National Dong Hwa University, Hualien, Taiwan.ORCID 0000-0002-1916-3702
Shao-Xi HsuDepartment of Life Science and Graduate Institute of Biotechnology, National Dong Hwa University, Hualien, Taiwan.
Bing-Hua WuDepartment of Life Science and Graduate Institute of Biotechnology, National Dong Hwa University, Hualien, Taiwan.
Yu-Chen DengDepartment of Life Science and Graduate Institute of Biotechnology, National Dong Hwa University, Hualien, Taiwan.
Wei WuliDepartment of Life Science and Graduate Institute of Biotechnology, National Dong Hwa University, Hualien, Taiwan.ORCID 0000-0003-3033-6552
Yuan-Sheng LiEverfront Biotech Inc, Taipei, Taiwan.ORCID 0000-0003-1813-6806
Jui-Hao LeeEverfront Biotech Inc, Taipei, Taiwan.ORCID 0000-0001-5907-7246
Shinn-Zong LinBioinnovation Center, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan.ORCID 0000-0002-4601-9933
Horng-Jyh HarnBioinnovation Center, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan.
Tzyy-Wen ChiouDepartment of Life Science and Graduate Institute of Biotechnology, National Dong Hwa University, Hualien, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Exosomes are membrane vesicles secreted by various cells and play a crucial role in intercellular communication. They can be excellent delivery vehicles for oligonucleotide drugs, such as microRNAs, due to their high biocompatibility. MicroRNAs have been shown to be more stable when incorporated into exosomes; however, the lack of targeting and immune evasion is still the obstacle to the use of these microRNA-containing nanocarriers in clinical settings. Our goal was to produce functional exosomes loaded with target ligands, immune evasion ligand, and oligonucleotide drug through genetic engineering in order to achieve more precise medical effects. Methods: To address the problem, we designed engineered exosomes with exogenous cholecystokinin (CCK) or somatostatin (SST) as the targeting ligand to direct the exosomes to the brain, as well as transduced CD47 proteins to reduce the elimination or phagocytosis of the targeted exosomes. MicroRNA-29b-2 was the tested oligonucleotide drug for delivery because our previous research showed that this type of microRNA was capable of reducing presenilin 1 (PSEN1) gene expression and decreasing the β-amyloid accumulation for Alzheimer's disease (AD) in vitro and in vivo. Results: The engineered exosomes, containing miR29b-2 and expressing SST and CD47, were produced by gene-modified dendritic cells and used in the subsequent experiments. In comparison with CD47-CCK exosomes, CD47-SST exosomes showed a more significant increase in delivery efficiency. In addition, CD47-SST exosomes led to a higher delivery level of exosomes to the brains of nude mice when administered intravenously. Moreover, it was found that the miR29b-2-loaded CD47-SST exosomes could effectively reduce PSEN1 in translational levels, which resulted in an inhibition of beta-amyloid oligomers production both in the cell model and in the 3xTg-AD animal model. Conclusion: Our results demonstrated the feasibility of the designed engineered exosomes. The application of this exosomal nanocarrier platform can be extended to the delivery of other oligonucleotide drugs to specific tissues for the treatment of diseases while evading the immune system.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesCD47 AntigenMicroRNAsPresenilin-1Receptors, SomatostatinAnimalsBrainDisease Models, AnimalExosomesHumansMiceSomatostatinAmyloid beta-PeptidesCD47 AntigenCd47 protein, mouseMicroRNAsMIRN29 microRNA, mousePresenilin-1presenilin 1, mouseReceptors, SomatostatinSomatostatin3xTG-ADfunctional nanocarriershippocampusoligonucleotide drugSH-SY5Y

Identifiers

PMID38828204
PMCPMC11144417

What OpenQuestion holds

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LicenceCC BY-NC
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 OpenQuestion graph.