ArticleACS nano2025
Multidimensional Engineering of Extracellular Vesicles for Targeted Delivery and Microglial Reprograming in Spinal Cord Injury Repair.
Article in ACS nano, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Milk-derived extracellular vesicles: nutritional significance, nano-delivery potential, and emerging therapeutic applications - an updated review.Food science of animal resources · 2026Review
- A Multidimensional Engineering Strategy Reprograms Microglia via Targeted and Sustained-Release Extracellular Vesicles for Spinal Cord Injury Repair.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- "Membrane-Guided" Repair Strategy: Precision Delivery of GGT1 Degrader for Targeted Repair and Regeneration of Spinal Cord Neurons.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Transcriptomics Insights into Spinal Cord Injury for Therapy Development.International journal of molecular sciences · 2026Review
- Engineered small extracellular vesicles as bioactive materials: Integrating engineering strategies for cargo loading and targeted delivery systems.Bioactive materials · 2026Review
- [Effect of composite graphene-protein hydrogels on neural regeneration after spinal cord injury in rats].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2026Article
- Bioengineering of extracellular vesicles with scaffold proteins for drug delivery.Journal of nanobiotechnology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The recovery of neurological function following spinal cord injury (SCI) is primarily constrained by two core pathological mechanisms: neuroinflammation and impaired tissue regeneration. While extracellular vesicles (EVs) have emerged as a promising therapeutic approach, their clinical translation remains limited by the inherent low bioactivity of natural EVs and suboptimal targeting efficiency at lesion sites. In this study, we developed a targeted EV delivery system with synergistic therapeutic potential, termed C-A/R-EVs, through a multidimensional engineering strategy. Specifically, the system leverages the blood-spinal cord barrier-penetrating ability of Angiopep-2 and the pathologically neovascular targeting capability of RGD to achieve precise localization in the SCI region. Additionally, a curcumin pretreatment strategy is employed to enhance the anti-inflammatory and neuroregenerative properties of the EVs. SnRNA-seq reveals that C-A/R-EVs reprogram microglia from a pro-inflammatory phenotype to a reparative phenotype, effectively suppressing neuroinflammation and promoting neural repair. Mechanistically, C-A/R-EVs facilitate axonal regeneration through enhancing the phagocytosis of myelin debris via reparative microglia, while simultaneously reducing the presence of inflammatory microglia to mitigate postinjury neuroinflammation. Moreover, C-A/R-EVs contribute to the restoration of the blood-spinal cord barrier. This study provides new insights into the design and fabrication of engineered EVs to synergistically enhance spinal cord repair through multimodal mechanisms.
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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.