Evidence map›Paper›PMID 35024246›Full record

ArticleMolecular therapy. Nucleic acids2022

Macrophage membrane- and cRGD-functionalized thermosensitive liposomes combined with CPP to realize precise siRNA delivery into tumor cells.

Jingxue Nai, Jinbang Zhang, Jiaxin Li, Hui Li, Yang Yang, Meiyan Yang, Yuli Wang, Wei Gong, Zhiping Li, Lin Li and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular therapy. Nucleic acids, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.7field-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

21 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Membrane-modified lipid nanoparticles for RNA delivery.Molecular therapy. Methods & clinical development · 2025
    Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Dendritic Cell-Mimicking Nanoparticles Promote mRNA Delivery to Lymphoid Organs.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Biomembrane-wrapped gene delivery nanoparticles for cancer therapy.Frontiers in bioengineering and biotechnology · 2023
    Review
  20. 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

11 authors at 3 institutions in 1 country.

Jingxue NaiState Key Laboratory of Toxicology and Medical Countermeasure, Department of Pharmaceutics, Beijing Institute of Pharmacology and Toxicology, Beijing, China.
Jinbang ZhangState Key Laboratory of Toxicology and Medical Countermeasure, Department of Pharmaceutics, Beijing Institute of Pharmacology and Toxicology, Beijing, China.
Jiaxin LiState Key Laboratory of Toxicology and Medical Countermeasure, Department of Pharmaceutics, Beijing Institute of Pharmacology and Toxicology, Beijing, China.
Hui LiState Key Laboratory of Toxicology and Medical Countermeasure, Department of Pharmaceutics, Beijing Institute of Pharmacology and Toxicology, Beijing, China.
Yang YangState Key Laboratory of Toxicology and Medical Countermeasure, Department of Pharmaceutics, Beijing Institute of Pharmacology and Toxicology, Beijing, China.
Meiyan YangState Key Laboratory of Toxicology and Medical Countermeasure, Department of Pharmaceutics, Beijing Institute of Pharmacology and Toxicology, Beijing, China.
Yuli WangState Key Laboratory of Toxicology and Medical Countermeasure, Department of Pharmaceutics, Beijing Institute of Pharmacology and Toxicology, Beijing, China.
Wei GongState Key Laboratory of Toxicology and Medical Countermeasure, Department of Pharmaceutics, Beijing Institute of Pharmacology and Toxicology, Beijing, China.
Zhiping LiState Key Laboratory of Toxicology and Medical Countermeasure, Department of Pharmaceutics, Beijing Institute of Pharmacology and Toxicology, Beijing, China.
Lin LiState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China.
Chunsheng GaoState Key Laboratory of Toxicology and Medical Countermeasure, Department of Pharmaceutics, Beijing Institute of Pharmacology and Toxicology, Beijing, China.
Henan University · CNInstitute of Microbiology · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the success of small interfering RNAs (siRNAs) in clinical settings, their fast clearance and poor delivery efficiency to target cells still hinder their therapeutic effect. Herein, a new treatment system was constructed by combining thermosensitive liposomes with the macrophage membrane, tumor-targeting cyclic Arg-Gly-Asp peptide, a cell-penetrating peptide, and thermotherapy. The constructed system was found to be thermosensitive and stable; the proteins were inherited from the macrophage membrane. This new system combined with thermotherapy displayed the least uptake by macrophages, the greatest uptake by HepG2 cells, the most obvious HepG2 cell apoptosis, and the strongest inhibition of Bcl-2 mRNA and Bcl-2 protein in HepG2 cells. Moreover, 24 h after system administration in tumor-bearing mice, the most prominent distribution of siRNA was observed in tumors, while almost no siRNA was found in other organs. The strongest inhibition of Bcl-2 mRNA, Bcl-2 protein, and tumors was found in mice that had received the proposed system. In summary, when using the constructed system both

Indexed as

CPPcRGDmacrophage membranesiRNAthermosensitive liposomestumor targeting

Identifiers

PMID35024246
PMCPMC8724933
OpenAlexW4200555786

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.