Evidence map›Paper›PMID 42789059›Full record

ArticleAnalytical and bioanalytical chemistry2026

An ionic liquid-functionalized styrene-maleic anhydride copolymer brush stationary phase coupled with offline two-dimensional LC-MS/MS for comprehensive exosomal phospholipid profiling in breast cancer.

Xinhui Guan, Yuying Zhang, Xiaoqiao Ma, Haiyan Wang, Xiaoqiang Qiao, Xiaofei Gu

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Article in Analytical and bioanalytical chemistry, 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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5 · Who and what money

Authors and funding

6 authors.

Xinhui GuanCollege of Pharmaceutical Sciences, Key Laboratory of Medicinal Chemistry and Molecular Diagnosis, Ministry of Education, Hebei University, Baoding, 071002, China.
Yuying ZhangCollege of Pharmaceutical Sciences, Key Laboratory of Medicinal Chemistry and Molecular Diagnosis, Ministry of Education, Hebei University, Baoding, 071002, China.
Xiaoqiao MaCollege of Pharmaceutical Sciences, Key Laboratory of Medicinal Chemistry and Molecular Diagnosis, Ministry of Education, Hebei University, Baoding, 071002, China.
Haiyan WangCollege of Pharmaceutical Sciences, Key Laboratory of Medicinal Chemistry and Molecular Diagnosis, Ministry of Education, Hebei University, Baoding, 071002, China.
Xiaoqiang QiaoCollege of Pharmaceutical Sciences, Key Laboratory of Medicinal Chemistry and Molecular Diagnosis, Ministry of Education, Hebei University, Baoding, 071002, China. xiaoqiao@hbu.edu.cn.
Xiaofei GuCollege of Pharmaceutical Sciences, Key Laboratory of Medicinal Chemistry and Molecular Diagnosis, Ministry of Education, Hebei University, Baoding, 071002, China. xfgu@hbu.edu.cn.

Funding

Foundation of President of Hebei University XZJJ202308Hebei University Graduate Innovation Capability Training Funding Project, 2027 HBU2026SS019National Natural Science Foundation of China 22274035Natural Science Foundation of Hebei Province B2026201055
6 · The paper itself

Abstract

Comprehensive characterization of exosomal phospholipids is essential for understanding cancer-associated metabolic alterations and discovering potential biomarkers, but remains challenging due to their extensive structural diversity and the limited selectivity and coverage of conventional liquid chromatography-tandem mass spectrometry (LC-MS/MS) approaches. In this study, an ionic liquid-functionalized styrene-maleic anhydride copolymer brush stationary phase (Sil-BHHICl) was developed and integrated into an offline two-dimensional (2D) LC-MS/MS platform for comprehensive exosomal phospholipid profiling. The Sil-BHHICl stationary phase exhibited a hydrophilic interaction/reversed-phase mixed-mode retention mechanism and provided enhanced selectivity toward phospholipids, enabling efficient separation at both the phospholipid-class and molecular-species levels. The developed analytical platform enabled comprehensive profiling of plasma-derived exosomal phospholipids, resulting in the identification of 274 molecular species belonging to 10 phospholipid classes. Lipidomic analysis of plasma exosomes from breast cancer patients and healthy controls revealed distinct phospholipid alterations associated with breast cancer and identified five candidate biomarkers, among which LysoPC-O (16:0) exhibited the strongest discriminatory ability. Pathway enrichment analysis further indicated that the altered phospholipids were predominantly associated with glycerophospholipid metabolism, suggesting extensive lipid metabolic remodeling in breast cancer. Overall, this study establishes a mixed-mode chromatographic platform for high-coverage exosomal phospholipid profiling and demonstrates its potential for lipidomics-based biomarker discovery and investigation of disease-associated metabolic alterations.

Indexed as

Breast cancer biomarkerExosomal phospholipidsIonic liquidMixed-mode stationary phaseStyrene-maleic anhydride copolymer

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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.