ReviewJournal of inflammation research2023
Advances in the Study of Plant-Derived Vesicle-Like Nanoparticles in Inflammatory Diseases.
Review in Journal of inflammation research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed, 7 citations in OpenAlex.
- Green nanomedicine for cancer therapy.Chinese medical journal · 2026Review
- Salvia miltiorrhiza-Derived Vesicle-Like Nanoparticles Functionalised Hydrogel With Excellent Ability of Oxidative Stress Modulation and Anti-Cardiomyocyte Apoptosis for Sepsis-Induced Myocardial Injury.Plant biotechnology journal · 2026Article
- Plant-derived extracellular vesicles as a promising therapeutic and drug delivery strategy for tumor oxidative stress and inflammation.Discover nano · 2026Review
- Plant-derived extracellular vesicles as emerging biotherapeutic agents and delivery vehicles for rheumatoid arthritis: evidence from preclinical models.Frontiers in immunology · 2026Review
- The potential of plant-derived vesicles in treating periodontitis and associated systemic diseases: current advances and future directions.Journal of nanobiotechnology · 2025Review
- Plant-derived vesicle-like nanoparticles in food crops: emerging insights into nutritional biofortification and biomedical applications.Plant biotechnology journal · 2025Review
- Atractylodes macrocephala-derived extracellular vesicles-like particles enhance the recovery of ulcerative colitis by remodeling intestinal microecological balance.Journal of nanobiotechnology · 2025Article
- Leveraging plant-derived nanovesicles for advanced nucleic acid-based gene therapy.Theranostics · 2025Review
- Unveiling the dynamic trends of plant-derived exosome nanovesicles-based theranostics: through bibliometric and visualized analysis.Frontiers in medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
All humans are universally affected by inflammatory diseases, and there is an urgent need to identify new anti-inflammatory drugs with good therapeutic benefits and minimal side effects to the organism. Recently, it has been found that plant-derived vesicle-like nanoparticles (PDVLNs) have good biocompatibility, with their active ingredients exhibiting good therapeutic effects on inflammation. They can also be used as drug carriers for targeted delivery of anti-inflammatory drugs. Therefore, PDVLNs represent a popular research area for novel anti-inflammatory drugs. This paper details the origin, biological functions, isolation and purification, and identification of PDVLNs, as well as the therapeutic effects of their intrinsic bioactive components on inflammatory diseases. It also introduces their targets as drug carriers to facilitate the development and application of PDVLNs anti-inflammatory drugs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.