Evidence map›Paper›PMID 21179008›Full record

ArticleMolecular therapy : the journal of the American Society of Gene Therapy2011

Mechanistically probing lipid-siRNA nanoparticle-associated toxicities identifies Jak inhibitors effective in mitigating multifaceted toxic responses.

Weikang Tao, Xianzhi Mao, Joseph P Davide, Bruce Ng, Mingmei Cai, Paul A Burke, Alan B Sachs, Laura Sepp-Lorenzino

Open access · bronzeAbstract read
In one paragraph

Article in Molecular therapy : the journal of the American Society of Gene Therapy, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
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

29 citing papers in PubMed, 72 citations in OpenAlex.

  1. Decoding Undesirable Inflammatory Responses of Nucleic Acid-Delivering Lipid Nanoparticles.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. Review
  3. Inhalable perfluorocarbon RNA nanocapsules overcome biological barriers to treat lung metastases.Journal of controlled release : official journal of the Controlled Release Society · 2026
    Article
  4. Gelatin and lipidoid integrate to createBioactive materials · 2024
    Article
  5. siRNA-mediated reduction of a circulating protein in swine using lipid nanoparticles.Molecular therapy. Methods & clinical development · 2024
    Article
  6. Review
  7. Review
  8. Drug delivery systems for CRISPR-based genome editors.Nature reviews. Drug discovery · 2023
    Review
  9. Review
  10. Article
  11. Substituting racemic ionizable lipids with stereopure ionizable lipids can increase mRNA delivery.Journal of controlled release : official journal of the Controlled Release Society · 2023
    Article
  12. Review
  13. Messenger RNA-Based Vaccines Against Infectious Diseases.Current topics in microbiology and immunology · 2022
    Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
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

8 authors at 1 institution in 1 country.

Weikang TaoDepartment of RNA Therapeutics, Merck Research Laboratories, West Point, Pennsylvania 19486, USA. weikang_tao@merck.com
Xianzhi Mao
Joseph P Davide
Bruce Ng
Mingmei Cai
Paul A Burke
Alan B Sachs
Laura Sepp-Lorenzino
United States Military Academy · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A major hurdle for harnessing small interfering RNA (siRNA) for therapeutic application is an effective and safe delivery of siRNA to target tissues and cells via systemic administration. While lipid nanoparticles (LNPs) composed of a cationic lipid, poly-(ethylene glycol) lipid and cholesterol, are effective in delivering siRNA to hepatocytes via systemic administration, they may induce multi-faceted toxicities in a dose-dependent manner, independently of target silencing. To understand the underlying mechanism of toxicities, pharmacological probes including anti-inflammation drugs and specific inhibitors blocking different pathways of innate immunity were evaluated for their abilities to mitigate LNP-siRNA-induced toxicities in rodents. Three categories of rescue effects were observed: (i) pretreatment with a Janus kinase (Jak) inhibitor or dexamethasone abrogated LNP-siRNA-mediated lethality and toxicities including cytokine induction, organ impairments, thrombocytopenia and coagulopathy without affecting siRNA-mediated gene silencing; (ii) inhibitors of PI3K, mammalian target of rapamycin (mTOR), p38 and IκB kinase (IKK)1/2 exhibited a partial alleviative effect; (iii) FK506 and etoricoxib displayed no protection. Furthermore, knockout of Jak3, tumor necrosis factor receptors (Tnfr)p55/p75, interleukin 6 (IL-6) or interferon (IFN)-γ alone was insufficient to alleviate LNP-siRNA-associated toxicities in mice. These indicate that activation of innate immune response is a primary trigger of systemic toxicities and that multiple innate immune pathways and cytokines can mediate toxic responses. Jak inhibitors are effective in mitigating LNP-siRNA-induced toxicities.

Indexed as

LipidsNanoparticlesAnimalsCytokinesDexamethasoneEnzyme InhibitorsEtoricoxibFemaleGene Knockout TechniquesI-kappa B KinaseInterferon-gammaInterleukin-6Janus KinasesMiceMice, Inbred C57BLMice, KnockoutCytokinesDexamethasoneEnzyme InhibitorsEtoricoxibI-kappa B KinaseInterferon-gammaInterleukin-6Janus KinasesLipidsp38 Mitogen-Activated Protein KinasesPhosphoinositide-3 Kinase InhibitorsPyridinesReceptors, Tumor Necrosis Factor, Type IIRNA, Small InterferingSulfonesTacrolimusTOR Serine-Threonine Kinases

Identifiers

PMID21179008
PMCPMC3048191
OpenAlexW2045875672

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.