Evidence map›Paper›PMID 40943573›Full record

ReviewInternational journal of molecular sciences2025

siRNA Therapeutics for the Treatment of Hereditary Diseases and Other Conditions: A Review.

Alexei Shevelev, Natalia Pozdniakova, Evgenii Generalov, Olga Tarasova

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Vutrisiran in Transthyretin Amyloidosis: A Narrative Review.American journal of cardiovascular drugs : drugs, devices, and other interventions · 2026
    Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. 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.

Alexei ShevelevLaboratory of DNA metylom and transcriptom editing, Vavilov Institute of General Genetics of Russian Academy of Sciences, Gubkina 3, 119991 Moscow, Russia.
Natalia PozdniakovaLaboratory of radionuclide and radiation technologies in experimental oncology, Blokhin National Medical Research Center of Oncology, Ministry of Health of the Russian Federation, Kashirskoe Shosse 24, 115522 Moscow, Russia.ORCID 0000-0002-5765-3016
Evgenii GeneralovDepartment of Biophysics, Faculty of Physics, Lomonosov Moscow State University, 119991 Moscow, Russia.ORCID 0000-0001-9135-6405
Olga TarasovaLaboratory of Big Data Analysis for Digital Pharmacology, Department of Bioinformatics, Institute of Biomedical Chemistry of Russian Academy of Sciences, Pogodinskaya 10, 8, 119121 Moscow, Russia.ORCID 0000-0002-3723-7832

Funding

Program for Basic Research in the Russian Federation for a long-term period (2021-2030) No. 124050800018-9
6 · The paper itself

Abstract

RNA-based drugs hold significant potential, offering promising new treatments for a wide range of diseases, especially those with a genetic basis. By leveraging RNA interference (RNAi) and other RNA-mediated mechanisms, these therapies can precisely modulate gene expression and address the root causes of genetic defects. RNA-based drugs hold significant potential for treating a range of diseases. However, the transition of these therapies from laboratory research to clinical applications has encountered hurdles. This review explores the composition and outcomes of clinical trials for various modified short RNA drugs. We detail their mechanisms of action, delivery systems-with a focus on lipid nanoparticles and N-acetylgalactosamine (GalNAc) conjugates-and clinical efficacy in treating conditions such as transthyretin (TTR) amyloidosis. Our analysis reveals that while several RNAi-based drugs have achieved clinical approval, a critical unmet need remains: advanced delivery systems capable of precisely targeting diverse tissues, particularly outside the liver. We also underscore the importance of rigorous target validation utilising sophisticated bioinformatics tools and in vitro/in vivo assays to minimise off-target effects and ensure robust therapeutic efficacy. This review proposes a novel framework for optimising RNA drug development, emphasising the crucial interplay between delivery strategies, target specificity, and understanding disease-specific target biology.

Indexed as

Amyloid Neuropathies, FamilialGenetic Diseases, InbornRNAi TherapeuticsRNA, Small InterferingAnimalsGenetic TherapyHumansNanoparticlesRNA InterferenceRNA, Small InterferingGalNAc conjugatesgene therapyLNPsRNA interferenceRNA therapysiRNA

Identifiers

PMID40943573
PMCPMC12428872

What OpenQuestion holds

Textmetadata
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.