Evidence mapPaperPMID 40186294Full record

ArticleEuropean journal of medical research2025

Development and validation of optimized lentivirus-like particles for gene editing tool delivery with Gag-Only strategy.

Jinlin Jia, Yanzhe Hao, Lu Zhang, Xiaofang Cao, Lisha An, Hu Wang, Qi Ma, Xiaohua Jin, Xu Ma

Abstract read
In one paragraph

Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Advances in Engineered Virus-Like Particles for Genome Editing and Therapy.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2026
    Review
  4. Article
  5. Article
  6. 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

9 authors.

Jinlin Jia *National Research Institute for Family Planning, Beijing, 100081, China.
Yanzhe Hao *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing, 100052, China. haoyz@ivdc.chinacdc.cn.
Lu ZhangNational Research Institute for Family Planning, Beijing, 100081, China.
Xiaofang CaoNational Research Institute for Family Planning, Beijing, 100081, China.
Lisha AnNational Research Institute for Family Planning, Beijing, 100081, China.
Hu WangNational Research Institute for Family Planning, Beijing, 100081, China.
Qi MaNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing, 100052, China.
Xiaohua JinNational Research Institute for Family Planning, Beijing, 100081, China. jinxiaohua96@163.com.
Xu MaNational Research Institute for Family Planning, Beijing, 100081, China. maxu_fg@nrifp.org.cn.

Funding

This work was funded by grants from the National Key Research and Development Program of China 2016YFC1000307
6 · The paper itself

Abstract

backgroundThe development of gene editing tools such as CRISPR-Cas9 and base editors (BE) is critical for genetic diseases and cancer. Lentivirus-like particles (LVLPs) grows into an auspicious platform for delivering mRNA or ribonucleic proteins (RNPs) due to it integrates the advantage of viral and non-viral vectors. Current LVLP systems predominantly utilize HIV-Gag and Pol proteins. However, the reverse transcriptase and integrase of Pol, pose risks of genomic integration and potential tumorigenesis. Enhancing the safety of VLP system is essential. This study focuses on improving the LVLP to minimize these risks.

methodsWe implemented a Gag-Only strategy, constructing LVLPs with HIV-Gag protein, thereby eliminating the integration risks linked to Pol. By leveraging the interactions between MS2-MCP (MS2 coat protein), PP7 and PP7 BP (PP7 binding protein), and the psi (HIV packaging signal) with HIV-Gag, we encapsulated PAMless andesine base editor (CE-8e-SpRY) mRNA and sgRNA targeting the PD1 start codon (ATG) into the LVLP. Using recombinant lentiviral vector technology, we developed a stable PD1-expressing 293T cell line (PD1-293T) to assess the editing efficiency of LVLP.

resultsThe psi-LVLP demonstrated effective packaging capabilities, achieving 15% base editing efficiency in 293T cells. By optimizing plasmid ratios, we observed increased CE-8e-SpRY mRNA copy numbers, with 30% base editing efficiency. Additionally, the integration of HDVrz (hepatitis delta virus ribozyme) and psi into sgRNA (HDVrz-psi-LVLP) substantially enhanced sgRNA copy numbers, resulting in approximately 50% base editing efficiency in 293T cells and 20% base editing efficiency in Jurkat cells. Mendelian randomization analyses revealed significant genetic correlations between PD1, B2M, CIITA, and TIGIT genes with various cancer risks. Furthermore, HDVrz-psi-LVLPs targeting the start codons of B2M, CIITA, and TIGIT exhibited high base editing activity in both Jurkat and 293T cells.

conclusionIn conclusion, this optimized platform effectively encapsulates CE-8e-SpRY mRNA and sgRNA, achieving high editing efficiencies across multiple genes and cell types. We introduce a safer and more efficient gene editing tool delivery system by constructing LVLPs based on the Gag-Only strategy. Our study presents a promising implication for cancer immunotherapy.

Indexed as

gag Gene Products, Human Immunodeficiency VirusGene EditingGene Transfer TechniquesLentivirusCRISPR-Cas SystemsGenetic VectorsHEK293 CellsHumansgag Gene Products, Human Immunodeficiency VirusBase editingGag-onlyLentivirus-like particles (LVLPs)MRNAPackaging signal

Identifiers

PMID40186294
PMCPMC11969815

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.