Evidence map›Paper›PMID 41877091›Full record

ArticleLipids in health and disease2026

Exploration of the structural diversity and distribution pattern of gangliosides and sulfatides in mouse brain tissues and biomarkers for Parkinson's Disease.

Ming-Yang Liu, Juan Wang, Xiong-Yu Meng, Jia-Ru Liu, Xiao-Jun Yao, Yu-Wei Wang, Lee-Fong Yau, An-Ran Sun, Jia-Ning Mi, Liang Liu and 3 more

Abstract read
In one paragraph

Article in Lipids in health and disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Ming-Yang Liu *The Second Clinical College, Guangzhou University of Chinese Medicine, Chinese Medicine Guangdong Laboratory, Guangzhou, China.
Juan Wang *The Second Clinical College, Guangzhou University of Chinese Medicine, Chinese Medicine Guangdong Laboratory, Guangzhou, China.
Xiong-Yu Meng *School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
Jia-Ru LiuThe Second Clinical College, Guangzhou University of Chinese Medicine, Chinese Medicine Guangdong Laboratory, Guangzhou, China.
Xiao-Jun YaoCentre for Artificial Intelligence Driven Drug Discovery, Faculty of Applied Sciences, Macao Polytechnic University, Macao, China.
Yu-Wei WangCollege of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China.
Lee-Fong YauMacau University of Science and Technology, Macau, China.
An-Ran SunThe Second Clinical College, Guangzhou University of Chinese Medicine, Chinese Medicine Guangdong Laboratory, Guangzhou, China.
Jia-Ning MiThe Second Clinical College, Guangzhou University of Chinese Medicine, Chinese Medicine Guangdong Laboratory, Guangzhou, China.
Liang LiuThe Second Clinical College, Guangzhou University of Chinese Medicine, Chinese Medicine Guangdong Laboratory, Guangzhou, China.
Wen-Jing RenThe Second Clinical College, Guangzhou University of Chinese Medicine, Chinese Medicine Guangdong Laboratory, Guangzhou, China.
Yue KangCollege of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China. 300583@njucm.edu.cn.
Jing-Rong WangThe Second Clinical College, Guangzhou University of Chinese Medicine, Chinese Medicine Guangdong Laboratory, Guangzhou, China. jrwang@gzucm.edu.cn.

Funding

the Chinese Medicine Guangdong Laboratory HQL2024PZ001the Guangdong Basic and Applied Basic Research Foundation (Provincial Government-Enterprise Joint Fund) 2022A1515220191the National Natural Science Foundation of China 82304497the State Key Laboratory of Traditional Chinese Medicine Syndrome SKLKY2025C0009
6 · The paper itself

Abstract

backgroundAcidic glycosphingolipids (GSLs), including gangliosides (GAs) and sulfatides (STs), play key roles in intercellular signalling and neurodegenerative diseases. However, their comprehensive characterization remains challenging because of structural complexity, abundance variation, and interference from isomers and isotopes. This study aimed to systematically profile GAs and STs in mouse brain tissues and explore their potential as biomarkers in a Parkinson’s disease (PD) model.

methodsPrefractionation in combination with UHPLC-Q-TOF MS was employed for high-resolution MS and MS/MS analysis of acidic GSLs. Quantitative structure–retention relationship (QSRR) models were constructed from identified structures and retention times (RTs) to predict RTs and provide complementary support for MS/MS-based annotation. Dynamic multiple reaction monitoring (dMRM) on UHPLC-QQQ MS was applied to quantify GSLs, followed by a comparative analysis of PD and control mouse brain tissues.

resultsA total of 220 acidic GSLs were characterized, including 173 GAs (21 subclasses) and 47 STs (3 subclasses), representing the most extensive profile reported from mouse brain tissues, among which 75 GAs and 29 STs are, to the best of the authors’ knowledge, newly reported here. The QSRR model provided retention time predictions supporting the tentative annotation of eight rare acidic GSLs with insufficient MS/MS data. Among the identified species, Monosialogangliosides (GM) were the most abundant subclass, with GM1 and GM3 predominant. GD1a was the major disialoganglioside (GD) species, and the trisialoganglioside (GT), tetrasialoganglioside (GQ), and pentasialoganglioside (GP) subclasses were identified as GT1b, GQ1b, and GP1c, respectively. The STs were mainly of the SulfoHex type. O-acetylation was frequent in GQ species, while fucosylation and GalNAc attachment were primarily associated with GM and GD species. The sphingoid bases were mainly d18:0, d18:1, d20:0, and d20:1, while the N-acyl chains spanned C16:0–C24:0. For quantification, a method covering 17 subclasses enabled the simultaneous measurement of 89 GAs and 27 STs, representing the broadest quantification coverage in PD mouse brain studies to date. Further analysis revealed significant alterations in 20 GAs and 7 STs in PD, with GQ1b reported for the first time as a potential PD-related biomarker, and pathway analysis indicated disruption of b-series GA biosynthesis.

conclusionsThis study provides a comprehensive profile of acidic GSLs in mouse brain tissues and reveals GQ alterations with pathway disruptions in PD, offering molecular evidence linking acidic GSL metabolism to this disease.

Indexed as

BrainGangliosidesParkinson DiseaseSulfoglycosphingolipidsAnimalsBiomarkersChromatography, High Pressure LiquidDisease Models, AnimalMaleMiceMice, Inbred C57BLTandem Mass SpectrometryBiomarkersGangliosidesSulfoglycosphingolipidsAcidic glycosphingolipidsGangliosidesParkinson DiseaseSulfoglycosphingolipidsUHPLC-Q-TOF MS

Identifiers

PMID41877091
PMCPMC13137580

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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 OpenQuestion graph.