Evidence map›Paper›PMID 40796868›Full record

ReviewJournal of nanobiotechnology2025

Exploring the bioactivity of MicroRNAs Originated from Plant-derived Exosome-like Nanoparticles (PELNs): current perspectives.

Kingsley Miyanda Tembo, Xiaohui Wang, Mansoor Bolideei, Qianrui Liu, Farouk Baboni, Mohammad Javad Mehran, Fei Sun, Cong-Yi Wang

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review 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 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

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  4. Citrus limon-Derived Extracellular Vesicles Promote Hair Growth.Applied biochemistry and biotechnology · 2026
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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

8 authors.

Kingsley Miyanda Tembo *The Center for Biomedical Research, Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China.
Xiaohui Wang *The Center for Biomedical Research, Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China.
Mansoor BolideeiThe Center for Biomedical Research, Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China.
Qianrui LiuThe Center for Biomedical Research, Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China.
Farouk BaboniInstitute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Mohammad Javad MehranDepartment of Biotechnology, JSS Research Foundation, SJCE Technical Campus, University of Mysore, Karnataka, 570006, India.
Fei SunThe Center for Biomedical Research, Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China.
Cong-Yi WangTongji Shanxi Hospital, Shanxi Bethune Hospital, Third Hospital of Shanxi Medical University, the Key Laboratory of Endocrine and Metabolic Diseases of Shanxi Province, Shanxi Medical University, Taiyuan, China. wangcy@tjh.tjmu.edu.cn.

Funding

National Key R&D Program of China 2022YFA0806101National Natural Science Foundation of China 82070808Research and Innovation Team Project for Scientific Breakthroughs at the Shanxi Bethune Hospital 2024AOXIANG03
6 · The paper itself

Abstract

Exosomes, nano-sized extracellular vesicles, facilitate intercellular communication by transferring biomolecules such as microRNAs (miRNAs), which are key regulators of gene expression. While mammalian-derived exosomes (MDEs) have shown therapeutic promise, their clinical application has been limited by challenges such as immune-related toxicities, low yield and high production costs. In contrast, plant-derived exosome-like nanoparticles (PELNs) offer a sustainable, biocompatible, and cost-effective alternative, encapsulating a diverse array of bioactive miRNAs with significant therapeutic potential. Studies have demonstrated the ability of PELN-derived miRNAs in cross-kingdom communication, effectively transferring into mammalian cells, where they modulate disease-related pathways, including cancer, inflammation, metabolism, and neurodegeneration. This review explores the bioactivity of plant-derived miRNAs, highlighting their role as novel therapeutic agents. The study explores the bioactivity and potential mechanisms by which these miRNAs influence human cellular processes, focusing on their ability to regulate gene expression in different tissues. Additionally, the study examines recent advances in PELN research, emphasizing their potential for clinical translation in precision medicine, and highlights challenges and future prospects in harnessing the therapeutic capabilities of these bioactive miRNAs. This review underscores the potential of PELNs to revolutionize therapeutic strategies, offering a sustainable, biocompatible, and cost-effective platform for targeted miRNA delivery, paving the way for innovative interventions leveraging nature's own nanocarriers.

Indexed as

ExosomesMicroRNAsNanoparticlesPlantsAnimalsHumansMicroRNAsBioactivityCross-Kingdom communicationGene regulationMicroRNAs (miRNA)Plant-Derived Exosome-Like Nanoparticles (PELNs)Therapeutic potential

Identifiers

PMID40796868
PMCPMC12344895

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.