Evidence map›Paper›PMID 41415583›Full record

ReviewFrontiers in molecular medicine2025

Advancing AAV vector manufacturing: challenges, innovations, and future directions for gene therapy.

N Charan S S Kowshik, Pushpendra Singh

Abstract readReview
In one paragraph

Review in Frontiers in molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

N Charan S S KowshikOcugen India, Hyderabad, Telangana, India.
Pushpendra SinghOcugen, Malvern, PA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adeno-Associated Virus (AAV) vectors are at the forefront of gene therapy, offering transformative therapeutic potential for many genetic disorders. However, the translation of this promise into accessible treatments is constrained by manufacturing challenges, including process variability, low yields, and scalability challenges. This review provides a comprehensive framework for establishing robust AAV-based gene therapy manufacturing processes by evaluating industry challenges and recent technological innovations. We studied the end-to-end AAV-based gene therapy manufacturing process, from upstream unit operations such as cell culture and transfection to downstream purification and fill-finish operations. Key upstream innovations highlighted include high-density perfusion cultures, advanced single- and dual-plasmid systems, and next-generation transfection reagents that collectively enhance the overall process quality and viral vector productivity. In the realm of downstream processing, recent advancements in serotype-agnostic affinity chromatography and ion-exchange chromatographic purifications have enhanced the critical separation of full capsids from empty capsids. The implementation of a quality-by-design framework is the heart of the AAV-based gene therapy manufacturing process. We emphasize the necessity of a rigorous process characterization, utilizing validated scale-down models and design of experiments, as a prerequisite for establishing a robust control strategy with defined proven and normal operating ranges. This data-driven approach not only mitigates process inconsistency, but it also serves as the foundation for an effective process validation and regulatory compliance. Looking ahead, the integration of artificial intelligence and continuous manufacturing methodologies will be pivotal in expediting the development of safer, more efficacious, and personalized AAV-based gene therapies.

Indexed as

aavgene therapymanufacturingprocess characterizationprocess validationviral vectors

Identifiers

PMID41415583
PMCPMC12709507

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.