Evidence map›Paper›PMID 42814311›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Tissue Pharmacokinetics of Antisense Oligonucleotides.

Fang-Ching Chao, Sebastian Sten, Erica Bäckström, Pär Matsson, Peter Gennemark

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Fang-Ching ChaoDrug Metabolism and Pharmacokinetics, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R and D, AstraZeneca, Gothenburg, Sweden.
Sebastian StenDrug Metabolism and Pharmacokinetics, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R and D, AstraZeneca, Gothenburg, Sweden.
Erica BäckströmDrug Metabolism and Pharmacokinetics, Research and Early Development, Respiratory and Immunology (R and I), BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
Pär MatssonUnit for Pharmacokinetics and Drug Metabolism, Department of Pharmacology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Peter GennemarkDrug Metabolism and Pharmacokinetics, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R and D, AstraZeneca, Gothenburg, Sweden. Peter.Gennemark@astrazeneca.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pharmacokinetics (PK) of antisense oligonucleotides (ASOs) is characterized by rapid distribution from plasma to tissue and by slow terminal plasma elimination, driven by redistribution from tissues. A quantitative understanding of tissue PK and target engagement, as demonstrated by RNA knockdown, is critical for successful drug discovery. This chapter describes and discusses appropriate experimental designs to characterize both the temporal and spatial PK aspects of ASOs. Key considerations, such as the choice of administration route, dosing regimen, single versus repeated dosing, and sampling points are addressed. The chapter also examines mathematical models of varying complexity, from empirical models to physiologically-based pharmacokinetic (PBPK) models, that support the understanding of ASO PK and guide clinical development.

Indexed as

Oligonucleotides, AntisenseAnimalsHumansModels, BiologicalTissue DistributionOligonucleotides, AntisenseAntisense oligonucleotidesPharmacokinetic modelingPharmacokineticsTissue distribution

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.