Aug 2026· International Journal of Multidisciplinary and Innovative Research· 0 citations
TL;DR
This article aims to provide a working framework for verifying the potency, genomic integrity, and clinical safety of vector-based gene therapies—one intended to be useful both to laboratories developing these products and to those responsible for regulating them.
Abstract
Viral vectors have become the backbone of delivery strategies in modern gene therapy, offering biologically robust means of transporting therapeutic transgenes and genome-editing machinery, most notably CRISPR-Cas nuclease systems, into target cells. Moving these intricate macromolecular assemblies from bench-scale research into human clinical application, however, is far from straightforward: it raises substantial analytical, manufacturing, and safety questions that cannot be resolved through conventional characterization alone. Meeting international regulatory expectations demands the establishment of harmonized, multi-layered quality control systems spanning every stage of vector production. This review takes a critical look at the analytical approaches currently used to characterize viral delivery platforms, with particular attention to recombinant adeno-associated viruses (rAAV), lentiviruses, and adenoviruses. We examine the core quality attributes that define these products—genome titer determination, ratios of physical to infectious particles, discrimination between empty and full capsids, and quantification of residual host-cell proteins and host-derived nucleic acids—and consider how well existing assays actually capture these properties in practice. Beyond product characterization, we turn to nuclease-associated safety concerns, reviewing the methods available for detecting unintended double-strand breaks at off-target sites, structural rearrangements within the genome, and the emergence of replication-competent viral variants. By weighing what current technologies can reliably achieve against their practical limitations, this article aims to provide a working framework for verifying the potency, genomic integrity, and clinical safety of vector-based gene therapies—one intended to be useful both to laboratories developing these products and to those responsible for regulating them.
CRISPR/Cas9 has revolutionized genetic engineering since its repurposing as a programmable nuclease in 2012, yet its clinical translation remains fundamentally constrained by delivery barriers rather than editing efficiency. The system operates through acquisition, biogenesis, and interference mechanisms, but therapeutic application necessitates overcoming delivery challenges that are highly context-dependent. This review moves beyond a descriptive summary of 67 studies to provide a critical, barrier-focused analysis of delivery strategies. Our re-analysis of the tabulated data identifies quantitative trends across viral, non-viral, and physical platforms, evaluates trade-offs between efficiency and safety, and proposes a decision framework for vehicle selection based on target tissue and cargo type. A major focus of this review is the inclusion of recent hybrid systems (VLPs, SORT-LNPs) and the recognition that chemical modification of guide RNAs is a critical parameter for therapeutic success. A key forward-looking insight is that hybrid systems and stimuli-responsive nanoparticles are poised to dominate the next 5 years of clinical development, particularly for liver, CNS, and hematopoietic targets. Successful clinical translation of CRISPR/Cas9 will depend on context-specific delivery strategies that balance editing efficiency, safety, and clinical scalability.
M. Rezaee, F. Izadi, Saeed Nobaharian et al.· Beni-Suef University Journal...· 0 citations
This review provides a comprehensive overview of the current status of viral and non-viral vector systems for in vivo and ex vivo applications, and key comparisons are made across safety, efficacy, scalability, and immune responses.
Establishing robust, serotype-specific AAV RSMs and harmonised standard operating protocols (SOPs) are essential for advancing AAV gene therapy and ensuring accuracy, reproducibility, and safety across research, development, and clinical manufacturing.
Saleheen Khan, Nathalie Van den Berghe, Els Henckaerts· Journal of Visualized Experi...· 0 citations
Therapeutic genome editing has advanced rapidly with the development of diverse programmable nucleases, from zinc‐finger nucleases and transcription activator‐like effector nucleases to clustered regularly interspaced short palindromic repeats (CRISPR)‐based systems such as base and prime editors. Despite these breakthroughs, clinical translation remains constrained by the challenge of achieving safe, efficient, and tissue‐specific delivery. Viral vectors, particularly adeno‐associated viruses, have enabled durable editing in selected organs but are limited by their restricted cargo capacity, immunogenicity, and complex manufacturing. Nonviral platforms, most notably ionizable lipid nanoparticles, have demonstrated remarkable efficacy for hepatic targets, with clinical trials reporting up to 93% protein knockdown after a single dose. An expanding set of emerging modalities, including virus‐mimicking nanosystems, cell‐derived extracellular vesicles, cell‐penetrating peptides, and intelligent‐responsive multifunctional scaffolds, further enriches the delivery toolbox by supporting transient expression and programmable targeting across diverse editors and tissues. Parallel advances in high‐throughput barcoded screening and machine learning are accelerating vector optimization, while rational chemical modification of payloads improves in vivo stability and specificity. This review provides a comprehensive overview of current and emerging delivery systems for genome editing, highlighting key innovations, unresolved challenges, and interdisciplinary strategies poised to unlock broader therapeutic potential.
Meijia Yang, Yiqiong Song, Ziyang Wang et al.· MedComm· 0 citations
Background
CRISPR-Cas genome editing offers curative potential for monogenic disorders and persistent infections, but its
clinical translation is hindered by delivery inefficiency, off-target effects, and immunogenicity. Nanocarrier platforms
address these barriers by enabling targeted, transient intracellular delivery of CRISPR components.
Methods
This PRISMA 2020–guided systematic review and meta-analysis synthesized data from 127 preclinical studies and
14 Phase I/II clinical trials (2018–2025) evaluating CRISPR-nanocarrier systems.
Results
Pooled analysis revealed a median on-target editing efficiency of 52.4% (95% CI: 48.1–56.7). Ionizable lipid
nanoparticles (LNPs) demonstrated superior hepatic delivery, while engineered extracellular vesicles (EVs) enabled
extrahepatic tropism. Safety profiles were highly favorable: off-target edits remained consistently <0.1%,
chromosomal aberrations were negligible (98.4% compliance), and pathogen loads decreased by 3.12 log₁₀. Functional
protein restoration yielded a large pooled effect size (SMD: 2.84). Adverse events were primarily limited to transient
cytokine elevation and mild, manageable hepatotoxicity. Carrier architecture and ribonucleoprotein (RNP) cargo
format emerged as significant predictors of editing success.
Conclusion
CRISPR-nanocarrier systems represent a highly viable precision medicine platform for achieving durable, potentially
curative outcomes. Accelerating clinical deployment requires prioritizing standardized GMP manufacturing, longterm genomic surveillance, scalable access frameworks, and the continued optimization of stimuli-responsive carriers
and high-fidelity editors.
A. Aslam, F. Naz, Syeda Fatima Nadeem et al.· International Journal of Dru...· 0 citations
This review examines how biophysical properties of viral vectors, lipid nanoparticles, and hybrid virus-like particles influence editor delivery performance and explores how the notion of carrier systems shifts in diseased states like solid tumour cancers, autoimmune psoriasis of the skin, and the autosomal monogenic cystic fibrosis.
Upasana Ghosh, Andy Tay· Journal of Controlled Releas...· 0 citations
A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.
MIT News · Artificial Intelligence· news.mit.eduAug 17, 2026