ArticleRSC advances2025
Changes in tea exosome-like nanoparticles fermented by
Article in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed.
- Plant-Derived Exosome-like Nanovesicles for Metabolic Dysfunction-Associated Steatotic Liver Disease.Veterinary sciences · 2026Review
- Association Between Dietary Tea Consumption and Non-Alcoholic Fatty Liver Disease: A Systematic Review and Meta-Analysis.Health science reports · 2026Review
- Research Progress on Nanoformulations Based on Active Components from Traditional Chinese Medicine for MASLD.International journal of nanomedicine · 2026Review
- Nanotherapeutic Strategies for MASLD: From Pathological Mechanisms to Targeted Delivery Systems.International journal of nanomedicine · 2026Review
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Research on dark tea-derived exosome-like nanoparticles (TELNs) and microbial fermentation-mediated modifications of TELNs remains limited. To comprehensively explore the fermentation-induced alterations in TELNs' physical properties, metabolic composition, and biological functions, a systematic investigation was conducted in this study. Particle size distribution, zeta potential, protein content, and particle concentration of TELNs were characterized and compared before and after
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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.