Evidence map›Paper›PMID 41612090›Full record

ArticleThe AAPS journal2026

Industry Practices in Oligonucleotide Tissue Biodistribution Assessment: An IQ consortium Cross-Industry Survey of Current Approaches and Emerging Trends.

Michael McCoy, Huaping Tang, Lydia Michaut, Irina Laczkovich, Girish Chopda, Linzhi Chen, Isha Taneja, C Andrew Boswell, Guangnong Zhang

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Article in The AAPS journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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No citing paper in PubMed yet.

4 · The record

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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

9 authors.

Michael McCoyDMPK & Modeling, Takeda Pharmaceuticals, 35 Landsdowne St, Cambridge, Massachusetts, 02139, USA. Michael.McCoy1@takeda.com.ORCID 0000-0002-1981-6398
Huaping TangBiomarker and Bioanalytical Platforms, GlaxoSmithKline, 1250 S. Collegeville Road, Collegeville, Pennsylvania, USA.ORCID 0009-0005-3801-420X
Lydia MichautPK Sciences, Novartis Biomedical Research, Basel, Switzerland.ORCID 0009-0008-5956-5977
Irina LaczkovichTranslational Biomarkers and Bioanalytics, Takeda Pharmaceuticals, Cambridge, Massachusetts, USA.ORCID 0000-0002-7314-6989
Girish ChopdaDMPK, Novo Nordisk, Lexington, Massachusetts, USA.ORCID 0009-0003-7022-2637
Linzhi ChenGlobal Nonclinical Safety & DMPK, Boehringer Ingelheim Pharmaceuticals, Ridgefield, Connecticut, USA.ORCID 0000-0003-3696-3119
Isha TanejaTranslational Pharmacokinetics, Pharmacodynamics and Investigational Toxicology, Johnson & Johnson Innovative Medicine, Spring House, Pennsylvania, USA.ORCID 0000-0002-6811-0893
C Andrew BoswellTranslational Pharmacokinetics and Pharmacodynamics, Genentech Inc, 1 DNA Way, South San Francisco, California, USA.ORCID 0000-0002-0426-9846
Guangnong ZhangNucleic Acid Research, Novo Nordisk US R&D, Lexington, Massachusetts, USA.ORCID 0009-0009-0633-8460

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate assessment of tissue distribution for oligonucleotide therapeutic (ONT) drug candidates is essential for understanding pharmacokinetic behavior and predicting therapeutic efficacy. ONTs present a unique challenge with their rapid systemic clearance coupled with prolonged tissue retention, making comprehensive tissue concentration evaluation critical for successful drug development. The IQ Consortium Tissue Concentration Working Group surveyed member companies about their current tissue concentration assessment methods to understand industry practices and identify areas for improvement. Most companies reported that ONTs still represent a relatively small portion of their pre-candidate selection portfolios, reflecting the evolving nature of this therapeutic modality. siRNAs dominated development efforts across surveyed organizations, followed by antisense oligonucleotides, indicating clear therapeutic class preferences within the industry. Assessment strategies varied considerably across organizations, highlighting different approaches to resource allocation and risk management. While some companies routinely evaluate tissue concentrations for all ONT programs regardless of indication or target, others take a more selective, program-dependent approach based on compound characteristics and therapeutic objectives. Despite this strategic variability, there was universal reliance on LC-MS for quantification, often supplemented with qPCR/RT-qPCR and hybridization assays for comprehensive analytical coverage. All surveyed companies integrate tissue concentration data into translational pharmacokinetic modeling efforts, yet few have adopted physiologically-based pharmacokinetic (PBPK) models as standard practice. Companies recognize the value of improving ONT tissue distribution assessment through standardized methodology tailored to specific oligonucleotide classes.

Indexed as

Drug DevelopmentDrug IndustryOligonucleotidesAnimalsHumansRNA, Small InterferingSurveys and QuestionnairesTissue DistributionOligonucleotidesRNA, Small InterferingbioanalysisIQ consortiumoligonucleotide therapeuticsPK/PDtissue biodistribution

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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.