Evidence map›Paper›PMID 37893125›Full record

ReviewBiomedicines2023

Quality by Design (QbD) and Design of Experiments (DOE) as a Strategy for Tuning Lipid Nanoparticle Formulations for RNA Delivery.

Lidia Gurba-Bryśkiewicz, Wioleta Maruszak, Damian A Smuga, Krzysztof Dubiel, Maciej Wieczorek

Abstract readReview
In one paragraph

Review in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Review
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  11. Cell-Laden Supramolecular and Covalent Polymer Hydrogels for High-Shear Delivery: A Design of Experiments Approach.Chemistry of materials : a publication of the American Chemical Society · 2026
    Article
  12. Article
  13. Quality by design in public healthcare: a rapid development framework for future pandemics.Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques · 2026
    Review
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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

5 authors.

Lidia Gurba-BryśkiewiczMedicinal Chemistry Department, Celon Pharma S.A., Marymoncka 15, 05-152 Kazuń Nowy, Poland.ORCID 0000-0002-7807-6641
Wioleta MaruszakMedicinal Chemistry Department, Celon Pharma S.A., Marymoncka 15, 05-152 Kazuń Nowy, Poland.ORCID 0000-0002-4922-4465
Damian A SmugaMedicinal Chemistry Department, Celon Pharma S.A., Marymoncka 15, 05-152 Kazuń Nowy, Poland.
Krzysztof DubielMedicinal Chemistry Department, Celon Pharma S.A., Marymoncka 15, 05-152 Kazuń Nowy, Poland.
Maciej WieczorekMedicinal Chemistry Department, Celon Pharma S.A., Marymoncka 15, 05-152 Kazuń Nowy, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The successful development of nonviral delivery systems for nucleic acids has been reported extensively over the past years. Increasingly employed to improve the delivery efficiency and therapeutic efficacy of RNA are lipid nanoparticles (LNPs). Many of the various critical formulation parameters can affect the quality attributes and effectiveness of these nano-formulations. Therefore, the systematic drug development approach (QbD) and multivariate design and statistical analysis (DOE) can be very helpful and recommended for the optimization of the composition and production of RNA-LNPs. This review addresses the concepts and applications of QbD and/or DOE for the development of lipid nanoparticles for the delivery of different types of RNA, reporting examples published in the ten recent years presenting the latest trends and regulatory requirements as well as the modern mathematical and statistical design methods. As the topic explored in this review is a novel approach, the full QbD has been described in only a few papers, and a few refer only to some aspects of QbD. In contrast, the DOE approach has been used in most of the optimization works. Different approaches and innovations in DOE have been observed. Traditional statistical tests and modeling (ANOVA, regression analysis) are slowly being replaced by artificial intelligence and machine learning methods.

Indexed as

design of experiment (DOE)lipid nanoparticle (LNP)quality by design (QbD)RNA delivery

Identifiers

PMID37893125
PMCPMC10604315

What OpenQuestion holds

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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.