ArticleBiomaterials research2025
Exploring the Therapeutic Potential of Extracellular Vesicles Anchored to the Sea Cucumber Extracellular Matrix for Treating Atopic Dermatitis.
Article in Biomaterials research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Marine-Derived Extracellular Vesicles: Bioinspired Nanobiomaterials for Skin Regeneration and Dermatological Applications.Marine biotechnology (New York, N.Y.) · 2026Review
- Exosomes Derived from Sea Cucumbers in Indonesian Marine for Anti-Aging and Skin Regeneration.International journal of nanomedicine · 2026Review
- Extracellular vesicles fromFrontiers in immunology · 2026Article
- Extracellular vesicles in atopic dermatitis: unraveling pathogenic mediators and engineering therapeutic vectors.Frontiers in immunology · 2026Review
- Antioxidative and Regenerative Potential of Sea Cucumber: Focus on Bioactive Compounds and Exosome-Based Strategies for Combating Skin Oxidative Stress.Clinical, cosmetic and investigational dermatology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Extracellular vesicles (EVs) are crucial for intercellular communication and affect various physiological and pathological processes. Although terrestrial EVs have been extensively studied, marine-derived EVs have yet to be explored. This study investigated the therapeutic potential of sea cucumbers, known for their regenerative and immune abilities. Sea cucumber extracellular matrix (ECM)-anchored EVs (SEVs) were isolated and characterized using physical and electrophoretic analyses. Morphological assessments have shown that SEVs have shape and size distributions similar to mammalian EVs. Internal cargo analysis revealed the encapsulation of diverse proteins and genetic molecules. In anti-inflammatory tests with a lipopolysaccharide (LPS)-induced macrophage model, the results have shown that SEVs can alleviate inflammation factors regarding inducible nitric oxide synthase (iNOS) protein and immune-related mRNA expression. Microarray analysis was conducted to elucidate SEV's pharmacological efficacy and anti-inflammatory mechanisms, showing that SEVs inhibit the nucleotide-binding oligomerization domain (NOD)-like receptor (NLR) signaling pathway. An in vivo study using a mouse model of atopic dermatitis (AD) induced by 2,4-dinitrochlorobenzene (DNCB) involved subcutaneous SEV administration, followed by severity scoring and histological analyses. Therapeutic efficacy analysis indicated improvements in the AD mouse models, including reduced skin thickness and mast cell numbers. These findings indicate their potential for treating AD. This study highlights the potential clinical applications of marine-derived EVs and offers important implications for future research and therapeutic developments.
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.