ReviewCommunications biology2026
Model selection in preclinical nucleic acid therapeutics research.
Review in Communications biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Nucleic acid therapeutics (NATs) are a maturing drug class with many active clinical trials and a growing number of approvals. For NATs such as antisense oligonucleotides (ASOs) and small interfering RNAs (siRNAs), a major hurdle during the research and development phase lies in selecting preclinical model systems with meaningful readouts on molecular and phenotypic efficacy. Key questions include: Which in vitro models are best positioned to quantify NAT activity and identify hits? In advancing a NAT from in vitro to in vivo studies, when is it appropriate to employ a surrogate or humanize a target locus; conversely, when is it appropriate to rely solely on human-derived cells? In this review, we will introduce and critique current approaches to ASO and siRNA preclinical efficacy studies and consider future advances in this fast-moving therapeutic area.
Indexed as
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What Socratic 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 Socratic graph.