Evidence mapPaperPMID 41816964Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

18β-Glycyrrhetinic Acid and a Nano-Liposomal Formulation Alleviate Depression-Like Behaviors via the Microglial mTOR-Autophagy-NLRP3 Axis.

Hua Gan, Haitao Yuan, Wenjun Zhu, Xiaokang Xie, Shen Zhou, Wenzhi Hao, Xiaowei Mo, Lian Yang, Xiaojuan Li, Junshan Liu and 2 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hua GanGuangzhou Key Laboratory of Formula-Pattern Research Center, School of Traditional Chinese Medicine, and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Jinan University, Guangzhou, P. R. China.
Haitao YuanCenter for Drug Research and Development, Guangdong Provincial Key Laboratory for Research and Evaluation of Pharmaceutical Preparations, Guangdong Pharmaceutical University, Guangzhou, P. R. China.
Wenjun ZhuGuangzhou Key Laboratory of Formula-Pattern Research Center, School of Traditional Chinese Medicine, and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Jinan University, Guangzhou, P. R. China.
Xiaokang XieGuangzhou Key Laboratory of Formula-Pattern Research Center, School of Traditional Chinese Medicine, and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Jinan University, Guangzhou, P. R. China.
Shen ZhouGuangzhou Key Laboratory of Formula-Pattern Research Center, School of Traditional Chinese Medicine, and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Jinan University, Guangzhou, P. R. China.
Wenzhi HaoGuangzhou Key Laboratory of Formula-Pattern Research Center, School of Traditional Chinese Medicine, and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Jinan University, Guangzhou, P. R. China.
Xiaowei MoGuangzhou Key Laboratory of Formula-Pattern Research Center, School of Traditional Chinese Medicine, and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Jinan University, Guangzhou, P. R. China.
Lian YangGuangzhou Key Laboratory of Formula-Pattern Research Center, School of Traditional Chinese Medicine, and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Jinan University, Guangzhou, P. R. China.
Xiaojuan LiGuangzhou Key Laboratory of Formula-Pattern Research Center, School of Traditional Chinese Medicine, and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Jinan University, Guangzhou, P. R. China.
Junshan LiuSchool of Traditional Chinese Medicine, Basic Research Center of Excellence for Integrated Traditional and Western Medicine for Qingzhi Diseases, Southern Medical University, Guangzhou, P. R. China.
Lijuan DengGuangzhou Key Laboratory of Formula-Pattern Research Center, School of Traditional Chinese Medicine, and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Jinan University, Guangzhou, P. R. China.ORCID https://orcid.org/0000-0001-5072-390X
Jiaxu ChenGuangzhou Key Laboratory of Formula-Pattern Research Center, School of Traditional Chinese Medicine, and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Jinan University, Guangzhou, P. R. China.

Funding

Chinese Postdoctoral Science Foundation 2022M712190Guangdong Basic and Applied Basic Research Foundation 2022A1515110745Guangdong Basic and Applied Basic Research Foundation 2023A1515030276Guangdong Basic and Applied Basic Research Foundation 2024A1515012678Guangzhou Key Laboratory of Formula-Pattern of Traditional Chinese Medicine 202102010014Key-Area Research and Development Program of Guangdong Province 2020B1111100001National Natural Science Foundation of China 82430126Outstanding Innovative Talents Cultivation Funded Programs for Graduate Students of Jinan University 2025CXY360Outstanding Young Talents of Guangdong Special Support Program (Health Commission of Guangdong Province 0820250208
6 · The paper itself

Abstract

The limited efficacy and slow onset of current antidepressants underscore the urgent need for novel therapeutic strategies. Here, we established a novel zebrafish inflammation-based screening model and identified 18β-glycyrrhetinic acid (18β-GA) as a potent anti-inflammatory candidate. In a chronic social defeat stress (CSDS) mouse model, 18β-GA demonstrated significant antidepressant effects, which were associated with attenuated neuroinflammation and a shift in microglial polarization toward an anti-inflammatory phenotype. Mechanistically, 18β-GA inhibited the mTOR/p70S6K signaling pathway, leading to the restoration of autophagy and subsequent suppression of NLRP3 inflammasome activation in microglia. Using a transwell co-culture system, we further confirmed that 18β-GA protects neurons from microglia-mediated inflammatory injury. To overcome pharmacokinetic limitations, we developed a nanoliposomal formulation (Nano 18β-GA) that achieved rapid brain accumulation within 0.5 h, as visualized by time-dependent in vivo imaging. Remarkably, a single administration of Nano 18β-GA produced significant antidepressant effects, maintained the original mechanism of action, and exhibited a favorable biosafety profile. Together, our work delineates a translational pipeline from natural product discovery to nano-enabled therapy, offering a rapidly acting strategy with substantial translational potential for depressive disorder.

Indexed as

AutophagyDepressionGlycyrrhetinic AcidMicrogliaNLR Family, Pyrin Domain-Containing 3 ProteinTOR Serine-Threonine KinasesAnimalsDisease Models, AnimalLiposomesMaleMiceSignal TransductionZebrafish18alpha-glycyrrhetinic acidGlycyrrhetinic AcidLiposomesNLR Family, Pyrin Domain-Containing 3 ProteinNlrp3 protein, mouseTOR Serine-Threonine Kinases18β‐glycyrrhetinic acidmicrogliamTORnano‐deliveryNLRP3

Identifiers

PMID41816964
PMCPMC13185849

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.