Evidence map›Paper›PMID 40145792›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Therapeutic Delivery of circDYM by Perillyl Alcohol Nanoemulsion Alleviates LPS-Induced Depressive-Like Behaviors.

Feng Gao, Zhongkun Zhang, Minzi Ju, Liang Bian, Huijuan Wang, Sibo Zhao, Ningbo Cai, Yu Wang, Yanpeng Jia, Ling Shen and 2 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

12 authors.

Feng GaoDepartment of Pharmacology, Jiangsu Provincial Key Laboratory of Critical Care Medicine, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China.
Zhongkun ZhangDepartment of Pharmacology, Jiangsu Provincial Key Laboratory of Critical Care Medicine, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China.
Minzi JuDepartment of Pharmacology, Jiangsu Provincial Key Laboratory of Critical Care Medicine, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China.
Liang BianDepartment of Pharmacology, Jiangsu Provincial Key Laboratory of Critical Care Medicine, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China.
Huijuan WangDepartment of Pharmacology, Jiangsu Provincial Key Laboratory of Critical Care Medicine, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China.
Sibo ZhaoDepartment of Pharmacology, Jiangsu Provincial Key Laboratory of Critical Care Medicine, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China.
Ningbo CaiDepartment of Pharmacology, Jiangsu Provincial Key Laboratory of Critical Care Medicine, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China.
Yu WangDepartment of Pharmacology, Jiangsu Provincial Key Laboratory of Critical Care Medicine, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China.
Yanpeng JiaDepartment of Pharmacology, Jiangsu Provincial Key Laboratory of Critical Care Medicine, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China.
Ling ShenDepartment of Pharmacology, Jiangsu Provincial Key Laboratory of Critical Care Medicine, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China.
Yuan ZhangDepartment of Pharmacology, Jiangsu Provincial Key Laboratory of Critical Care Medicine, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China.
Honghong YaoDepartment of Pharmacology, Jiangsu Provincial Key Laboratory of Critical Care Medicine, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China.ORCID https://orcid.org/0000-0002-2128-0529

Funding

Fundamental Research Funds for the Central Universities 2242024K40041Ministry of Science and Technology of China 2021ZD0202904/2021ZD0202900National Natural Science Foundation of China 82230115National Natural Science Foundation of China 82373857National Natural Science Foundation of China 82404603National Natural Science Foundation of Distinguished Young Scholars 82025033Natural Science Foundation of Jiangsu Province BK20241311Start-up Research Fund of Southeast University RF1028623361
6 · The paper itself

Abstract

RNA therapeutics have recently shown significant promise in treating a variety of diseases, including cancers, infectious diseases, and genetic disorders. However, their potential in addressing neuropsychiatric disorders has been limited by the lack of an efficient delivery system to the central nervous system (CNS). Here, a novel nanoemulsion platform, perillyl alcohol nanoemulsions (PANEs) is introduced, designed for the therapeutic delivery of circDYM to brain and alleviated depressive-like behaviors. PANEs successfully encapsulated circDYM using cationic lipid compositions, enhancing its delivery efficiency to the mouse brain via its perillyl alcohol phase. The optimized formulation, PANE2-4, significantly improved the brain delivery efficiency of circDYM compared to both free circDYM and standard lipid nanoparticle formulations. Intranasal administration of PANE2-4-circDYM effectively alleviated depressive-like behaviors in the LPS-induced mouse model of depression. This effect is achieved by reducing the CD11b

Indexed as

DepressionRNA, CircularAdministration, IntranasalAnimalsBrainDisease Models, AnimalDrug Delivery SystemsEmulsionsLipopolysaccharidesMaleMiceMice, Inbred C57BLMonoterpenesNanoparticlesEmulsionsLipopolysaccharidesMonoterpenesperillyl alcoholRNA, CircularcircRNAdepressionlipid nanoparticlenanoemulsion

Identifiers

PMID40145792
PMCPMC12140362

What Socratic 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 Socratic graph.