Evidence map›Paper›PMID 42076098›Full record

ReviewPharmaceutics2026

Antisense Oligonucleotides: Technological Advances, Clinical Progress, and Expanding Therapeutic Frontiers.

Liping Xu, Huaqun Zhang, Bingchen Jiang, Yuanying Jiang, Hui Lu

Abstract readReview
In one paragraph

Review in Pharmaceutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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.

Liping XuDepartment of Pharmacy, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200331, China.
Huaqun ZhangDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, OH 43210, USA.ORCID 0000-0001-9627-3422
Bingchen JiangShanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai 200071, China.
Yuanying JiangDepartment of Pharmacy, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200331, China.
Hui LuDepartment of Pharmacy, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200331, China.ORCID 0000-0002-8422-0427

Funding

National Natural Science Foundation of China 82574464
6 · The paper itself

Abstract

Antisense oligonucleotides (ASOs) are emerging therapeutic agents that modulate gene expression at the RNA level, offering distinct therapeutic advantages over conventional small-molecule drugs and biologics. By directly targeting RNA, ASOs expand the spectrum of druggable targets to include those previously considered "undruggable", and enable shorter development timelines with improved research and development efficiency. These attributes position ASOs as a highly promising platform for precision and personalized medicine. Recent advances in chemical modification strategies and delivery technologies have markedly accelerated their clinical translation. This review systematically examines the technological evolution of ASO therapeutics, detailing their mechanisms of action, key chemical modification strategies, and advanced delivery systems. It also provides a comprehensive overview of the current global clinical landscape, including approved drugs, discontinued candidates, and ongoing clinical trials. Finally, this review discusses the major challenges facing the field and outlines future directions, with the aim of informing subsequent basic research and clinical development efforts.

Indexed as

antisense oligonucleotideschemical modificationprecision medicineRNA-targeted therapeutics

Identifiers

PMID42076098
PMCPMC13118739

What OpenQuestion holds

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LicenceCC BY
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.