Evidence map›Paper›PMID 36843103›Full record

ReviewMilitary Medical Research2023

Ionizable drug delivery systems for efficient and selective gene therapy.

Yu-Qi Zhang, Ran-Ran Guo, Yong-Hu Chen, Tian-Cheng Li, Wen-Zhen Du, Rong-Wu Xiang, Ji-Bin Guan, Yu-Peng Li, Yuan-Yu Huang, Zhi-Qiang Yu and 3 more

Open access · diamondAbstract readReview
In one paragraph

Review in Military Medical Research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Review
  3. Benchmarking pJournal of chemical information and modeling · 2026
    Article
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  11. Counteracting Alzheimer's diseaseActa pharmaceutica Sinica. B · 2024
    Article
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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

13 authors at 7 institutions in 3 countries.

Yu-Qi Zhang *Faculty of Medical Device, Shenyang Pharmaceutical University, Shenyang, 110016, Liaoning, China.
Ran-Ran Guo *Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang, 110016, Liaoning, China.
Yong-Hu ChenSchool of Pharmacy, Yanbian University, Yanji, 133002, Jilin, China.
Tian-Cheng LiSchool of Pharmacy, Shenyang Pharmaceutical University, Shenyang, 110016, Liaoning, China.
Wen-Zhen DuWuya College of Innovation, Shenyang Pharmaceutical University, Shenyang, 110016, Liaoning, China.
Rong-Wu XiangFaculty of Medical Device, Shenyang Pharmaceutical University, Shenyang, 110016, Liaoning, China.
Ji-Bin GuanMasonic Cancer Center, University of Minnesota, Minneapolis, MN, 55455, USA.
Yu-Peng LiMasonic Cancer Center and Department of Medicinal Chemistry, University of Minnesota, Minneapolis, MN, 55455, USA.
Yuan-Yu HuangAdvanced Research Institute of Multidisciplinary Science; School of Life Science; School of Medical Technology; Key Laboratory of Molecular Medicine and Biotherapy; Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering, Beijing Institute of Technology, Beijing, 100081, China.
Zhi-Qiang YuDepartment of Laboratory Medicine, Dongguan Institute of Clinical Cancer Research, Affiliated Dongguan Hospital, Southern Medical University, Dongguan, 523018, Guangdong, China.
Yin CaiDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China.
Peng ZhangWuya College of Innovation, Shenyang Pharmaceutical University, Shenyang, 110016, Liaoning, China. zhangpengspu@163.com.
Gui-Xia LingFaculty of Medical Device, Shenyang Pharmaceutical University, Shenyang, 110016, Liaoning, China. pharlab@163.com.ORCID 0000-0003-4799-9037
Shenyang Pharmaceutical University · CNBeijing Institute of Technology · CNHong Kong Polytechnic University · HKSouthern Medical University · CNUniversity of Minnesota · USUniversity of Minnesota Medical Center · USYanbian University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene therapy has shown great potential to treat various diseases by repairing the abnormal gene function. However, a great challenge in bringing the nucleic acid formulations to the market is the safe and effective delivery to the specific tissues and cells. To be excited, the development of ionizable drug delivery systems (IDDSs) has promoted a great breakthrough as evidenced by the approval of the BNT162b2 vaccine for prevention of coronavirus disease 2019 (COVID-19) in 2021. Compared with conventional cationic gene vectors, IDDSs can decrease the toxicity of carriers to cell membranes, and increase cellular uptake and endosomal escape of nucleic acids by their unique pH-responsive structures. Despite the progress, there remain necessary requirements for designing more efficient IDDSs for precise gene therapy. Herein, we systematically classify the IDDSs and summarize the characteristics and advantages of IDDSs in order to explore the underlying design mechanisms. The delivery mechanisms and therapeutic applications of IDDSs are comprehensively reviewed for the delivery of pDNA and four kinds of RNA. In particular, organ selecting considerations and high-throughput screening are highlighted to explore efficiently multifunctional ionizable nanomaterials with superior gene delivery capacity. We anticipate providing references for researchers to rationally design more efficient and accurate targeted gene delivery systems in the future, and indicate ideas for developing next generation gene vectors.

Indexed as

COVID-19Nucleic AcidsBNT162 VaccineDrug Delivery SystemsGenetic TherapyHumansBNT162 VaccineNucleic AcidsGene therapyIonizable drug delivery systems (IDDSs)Ionizable nanomaterialsNucleic acids

Identifiers

PMID36843103
PMCPMC9968649
OpenAlexW4322194918

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.