Evidence map›Paper›PMID 39897578›Full record

ReviewMolecular therapy. Nucleic acids2025

Nucleic acid therapeutics: Past, present, and future.

Sajid Naeem, Ju Zhang, Yang Zhang, Yu Wang

Abstract readReview
In one paragraph

Review in Molecular therapy. Nucleic acids, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Investigating theBioconjugate chemistry · 2026
    Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Current issues in molecular biology · 2026
    Article
  16. Review
  17. RNA therapeutic targeting of recalcitrant and rare cancers.Exploration of targeted anti-tumor therapy · 2026
    Review
  18. Article
  19. Review
  20. Olezarsen for the Treatment of Hypertriglyceridemia.Methods in molecular biology (Clifton, N.J.) · 2026
    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

4 authors.

Sajid NaeemCollege of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, China.
Ju ZhangCollege of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, China.
Yang ZhangSchool of Biomedical Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, Guangdong, China.
Yu WangCollege of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nucleic acid therapeutics have become increasingly recognized in recent years for their capability to target both coding and non-coding sequences. Several types of nucleic acid modalities, including siRNA, mRNA, aptamer, along with antisense oligo, have been approved by regulatory bodies for therapeutic use. The field of nucleic acid therapeutics has been brought to the forefront by the rapid development of vaccines against COVID-19, followed by a number of approvals for clinical use including much anticipated CRISPR-Cas9. However, obstacles such as the difficulty of achieving efficient and targeted delivery to diseased sites remain. This review provides an overview of nucleic acid therapeutics and highlights substantial advancements, including critical engineering, conjugation, and delivery strategies, that are paving the way for their growing role in modern medicine.

Indexed as

antisense oligonucleotidesaptamerCOVID-19 vaccineslipid nanoparticlesmessenger RNAMT: Oligonucleotides: Therapies and ApplicationsN-acetylgalactosamine conjugatesnucleic acid therapeuticssmall interfering RNA

Identifiers

PMID39897578
PMCPMC11786870

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.