Visual first β key quantitative cautions, then concise critique and recommended next experiments. All factual claims are inline-cited.
The review provides broad coverage (biology β engineering β applications β trials). Strength: collects specific examples (PTX, DOX, siRNA, mRNA, vaccines). Weakness: narrative format aggregates many positive preclinical outcomes without a formal quantitative synthesis (meta-analysis) to show effect sizes or inter-study heterogeneity; this risks overestimating translational readiness given publication bias and diverse methods (isolation, loading, dosing) across studies.
The review states EVs can traverse barriers (BBB) and improve cytosolic delivery; mechanistic literature shows EVs can cross BBB and deliver cargos in certain models, but the efficiency and mechanism vary and are often modest. Notably, quantitative work (Joshi et al.) demonstrates that even when EVs are internalized the fraction that releases cargo is limited and mechanistically depends on endosomal acidification and fusion-like events β important when evaluating claims that EVs match or outperform lipid nanoparticles broadly. The review would be stronger by explicitly integrating these quantitative constraints into translational feasibility statements.
The authors list isolation methods (UC, SEC, TFF, immunoaffinity, microfluidics) and call for standardization (MISEV). That is appropriate β but the review should assign stronger recommendations for which methods balance yield/purity for clinical translation (eg TFF + SEC + multimodal chromatography) and cite process-analytical quality metrics (particle/protein ratio, potency assays). The field still lacks widely adopted potency assays; the review correctly flags this as a key bottleneck.
Positives: review lists active clinical candidates (iExosomes, exoIL-12, exoSTING, exoASO-STAT6) and early-phase safety. Reality check: phase I safety does not imply efficacy; early signals (reduced circulating KRAS DNA, stable disease) are promising but anecdotal; the review rightly identifies manufacturing and regulatory classification as unresolved. It could improve by more explicitly discussing sponsor bias and the small-sample, early-phase nature of most trials.
Key disconfirmatory evidence would be: reproducible head-to-head data showing engineered EV therapeutics fail to improve tumor targeting, penetration, or therapeutic index relative to optimized synthetic carriers across multiple rigorous models; or demonstration that scalable, GMP-grade manufacturing that preserves potency cannot be achieved, or that repeated dosing raises unacceptable immunogenicity in large animals or humans. The review acknowledges these risks but would benefit from explicitly listing these falsifiers as regulatory decision thresholds.
Selected authoritative references used in this critique:
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