Evidence map›Paper›PMID 41550166›Full record

ReviewPharmaceutical science advances2024

Rational design of siRNA-based delivery systems for effective treatment of brain diseases.

Dailin Lu, Yonghang Sun, Yuxia Luan, Wenxiu He

Abstract readReview
In one paragraph

Review in Pharmaceutical science advances, 2024. 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
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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

4 authors.

Dailin LuKey Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
Yonghang SunKey Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
Yuxia LuanKey Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
Wenxiu HeKey Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective clinical methods are urgently required to treat brain diseases. Small interfering RNAs (siRNAs) are promising in the treatment of brain diseases because of their ability to target and specifically silence genes associated with disease progression. However, their effectiveness is hindered by physiological barriers such as enzymatic degradation, the blood-brain barrier, and the blood-brain tumor barrier, severely restricting them from reaching the desired target sites. The development of nanotechnology has made the effective delivery of siRNAs to the brain possible. This is accomplished by encapsulating siRNAs in cationic polymers, liposomes, or micelles to improve their stability and targeting efficiency. In this review, we first analyzed the limitations of siRNA delivery in brain diseases such as brain tumors, stroke, and neurodegenerative diseases. Next, we summarized how nanotechnology can offer a solution by enabling effective siRNA delivery to the brain and improving the intracellular transfection efficiency of siRNA. Finally, we discussed the challenges and future advances of siRNA-based delivery systems to facilitate their clinical translation. This review emphasizes the importance of overcoming physiological barriers associated with siRNA delivery and highlights recent advances in the rational design of siRNA-based delivery systems for the effective treatment of brain diseases.

Indexed as

Blood-brain barrierBrain diseasesBrain targetingDelivery systemssiRNA therapy

Identifiers

PMID41550166
PMCPMC12709936

What Socratic 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 Socratic graph.