ReviewJournal of extracellular vesicles2026
Integrating Nuclear Magnetic Resonance into Bioprocess Control of Clinical-Grade Extracellular Vesicle Manufacturing.
Review in Journal of extracellular vesicles, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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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.
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0 citing papers in PubMed.
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Authors and funding
3 authors.
Funding
Abstract
The rapid advance in the research and development of extracellular vesicle (EV)-based therapeutics has stimulated a paradigm shift in the field of regenerative medicine. However, translating EV-based therapies into the clinic requires robust, scalable, and Good Manufacturing Practice (GMP)-compliant bioprocesses that ensure product consistency, potency and safety. In this Perspective, we propose that metabolomics, particularly by using high-resolution nuclear magnetic resonance (NMR), can serve as a transformative analytical technology in EV manufacturing and quality control. By integrating NMR-metabolomics monitoring into upstream cell culture and downstream EV purification workflows, it becomes possible to identify metabolic fingerprints predictive of cell performance, EV yield and EV bioactivity. Drawing from the experience of the GALVANO consortium, which is developing Spain's first GMP-grade platform for EV manufacturing from clinical-grade human Wharton Jelly's mesenchymal stromal cells (WJ-MSC-EVs) with particular promise in the modulation of inflammation and tissue regeneration, we highlight how NMR-metabolomics can support Quality by Design (QbD) principles, enhance in-process analytics and accelerate regulatory harmonisation. We further discuss the need for collaborative standardisation of analytical methods and reporting frameworks to ensure reproducibility and comparability across EV batches. Together, these strategies can advance EV-based therapeutics toward reliable, large-scale clinical application.
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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.