Evidence map›Paper›PMID 37475681›Full record

ArticleBiotechnology and bioengineering2023

Design space determination to optimize DNA complexation and full capsid formation in transient rAAV manufacturing.

Qiang Fu, Yong Suk Lee, Erica A Green, Yongdan Wang, So Young Park, Ashli Polanco, Kelvin H Lee, Michael Betenbaugh, David McNally, Seongkyu Yoon

Abstract read
In one paragraph

Article in Biotechnology and bioengineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 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

10 authors.

Qiang FuDepartment of Biomedical Engineering and Biotechnology, University of Massachusetts Lowell, Lowell, Massachusetts, USA.
Yong Suk LeeDepartment of Pharmaceutical Sciences, University of Massachusetts Lowell, Lowell, Massachusetts, USA.
Erica A GreenDepartment of Chemical and Biomolecular Engineering, University of Delaware, Newark, Delaware, USA.
Yongdan WangDepartment of Chemical Engineering, University of Massachusetts Lowell, Lowell, Massachusetts, USA.
So Young ParkDepartment of Pharmaceutical Sciences, University of Massachusetts Lowell, Lowell, Massachusetts, USA.
Ashli PolancoDepartment of Chemical Engineering, University of Massachusetts Lowell, Lowell, Massachusetts, USA.
Kelvin H LeeDepartment of Chemical and Biomolecular Engineering, University of Delaware, Newark, Delaware, USA.ORCID 0000-0003-0908-2981
Michael BetenbaughDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland, USA.ORCID 0000-0002-6336-4659
David McNallyDepartment of Chemical Engineering, University of Massachusetts Lowell, Lowell, Massachusetts, USA.
Seongkyu YoonDepartment of Chemical Engineering, University of Massachusetts Lowell, Lowell, Massachusetts, USA.ORCID 0000-0002-5330-8784

Funding

Chemistry-Biology Interface Predoctoral Training Grant 2024-2029T32GM133395 · NIGMS · UNIVERSITY OF DELAWARE · PI Catherine Leimkuhler Grimes · 2019 to 2026
$3.7M
NIGMS NIH HHS T32 GM133395The National Institute for Innovation in Manufacturing Biopharmaceuticals (NIIMBL) 70NANB17H002US National Science Foundation 1624684US National Science Foundation 1624698US National Science Foundation 2100075
6 · The paper itself

Abstract

Recombinant adeno-associated virus (rAAV) vectors are a promising platform for in vivo gene therapies. However, cost-effective, well-characterized processes necessary to manufacture rAAV therapeutics are challenging to develop without an understanding of how process parameters (PPs) affect rAAV product quality attributes (PQAs). In this work, a central composite orthogonal experimental design was employed to examine the influence of four PPs for transient transfection complex formation (polyethylenimine:DNA [PEI:DNA] ratio, total DNA/cell, cocktail volume, and incubation time) on three rAAV PQAs related to capsid content (vector genome titer, vector genome:capsid particle ratio, and two-dimensional vector genome titer ratio). A regression model was established for each PQA using partial least squares, and a design space (DS) was defined in which Monte Carlo simulations predicted < 1% probability of failure (POF) to meet predetermined PQA specifications. Of the three PQAs, viral genome titer was most strongly correlated with changes in complexation PPs. The DS and acceptable PP ranges were largest when incubation time and cocktail volume were kept at mid-high setpoints, and PEI:DNA ratio and total DNA/cell were at low-mid setpoints. Verification experiments confirmed model predictive capability, and this work establishes a framework for studying other rAAV PPs and their relationship to PQAs.

Indexed as

DependovirusCapsidDNAGenetic VectorsHumansDNADesign of Experiments (DoE)Design Space (DS)Gene therapy manufacturingProcess Parameters (PPs)Product Quality Attributes (PQAs)Recombinant adeno-associated virus (rAAV)

Identifiers

PMID37475681
PMCPMC11585969

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Registered trials

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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 OpenQuestion graph.