ReviewBioanalysis
Review on the bioanalysis of non-virus-based gene therapeutics.
Review in Bioanalysis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Model-Informed Drug Development Applications and Opportunities in mRNA-LNP Therapeutics.Clinical pharmacology and therapeutics · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Over the past years, gene therapeutics have held great promise for treating many inherited and acquired diseases. The increasing number of approved gene therapeutics and developing clinical pipelines demonstrate the potential to treat diseases by modifying their genetic blueprints in vivo. Compared with conventional treatments targeting proteins rather than underlying causes, gene therapeutics can achieve enduring or curative effects via gene activation, inhibition, and editing. However, the delivery of DNA/RNA to the target cell to alter the gene expression is a complex process that involves, crossing numerous barriers in both the extracellular and intracellular environment. Generally, the delivery strategies can be divided into viral-based and non-viral-based vectors. This review summarizes various bioanalysis strategies that support the non-virus-based gene therapeutics research, including pharmacokinetics (PK)/toxicokinetics (TK), biodistribution, immunogenicity evaluations for the gene cargo, vector, and possible expressed protein, and highlights the challenges and future perspectives of bioanalysis strategies in non-virus-based gene therapeutics. This review may provide new insights and directions for the development of emerging bioanalytical methods, offering technical support and a research foundation for innovative gene therapy treatments.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.