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Open AccessArticle
Lipid Biomarkers in Glioma: Unveiling Molecular Heterogeneity Through Tissue and Plasma Profiling
by
Khairunnisa Abdul Rashid
Khairunnisa Abdul Rashid 1
,
Norlisah Ramli
Norlisah Ramli 1,2,
Kamariah Ibrahim
Kamariah Ibrahim 3
,
Vairavan Narayanan
Vairavan Narayanan 4 and
Jeannie Hsiu Ding Wong
Jeannie Hsiu Ding Wong 2,*
1
Department of Biomedical Imaging, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia
2
University of Malaya Research Imaging Centre, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia
3
Department of Biomedical Science, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia
4
Division of Neurosurgery, Department of Surgery, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2025, 26(19), 9820; https://doi.org/10.3390/ijms26199820 (registering DOI)
Submission received: 18 August 2025
/
Revised: 22 September 2025
/
Accepted: 26 September 2025
/
Published: 9 October 2025
Abstract
Gliomas are aggressive brain tumours with diverse histological and molecular features, complicating accurate diagnosis and treatment. Dysregulated lipid metabolism contributes to glioma progression, and analysing lipid profiles in plasma and tissue may enhance diagnostic and prognostic accuracy. This study investigated lipid dysregulation to identify key lipid signatures that distinguish glioma from other brain diseases and examined the associations between lipid biomarkers in glioma tissue and plasma. Biospecimens from 11 controls and 72 glioma patients of varying grades underwent lipidomic profiling using liquid chromatography-mass spectrometry. Univariate and multivariate analyses identified differentially abundant lipids, and correlation analysis evaluated the associations between tissue and plasma biomarkers. Lipidomic analysis revealed distinct lipid profiles in the tissues and plasma of glioma patients compared to those of controls. Prominent lipid metabolites in glioma tissues included LPC 21:3 (AUC = 0.925), DG 43:11 (AUC = 0.906), and PC 33:1 (AUC = 0.892), which served as effective biomarkers. Conversely, in plasma, lipid metabolites such as phosphatidylethanolamine (PE 21:3, AUC = 0.862), ceramide-1-phosphate (CerP 26:1, AUC = 0.861), and sphingomyelin (SM 24:3, AUC = 0.858) were identified as the most promising lipid biomarkers. Significant positive and negative correlations were observed between the tissue and plasma lipid biomarkers of glioma patients. Lipidomic profiling revealed aberrant lipid classes and pathways in glioma tissues and plasma, enhancing understanding of glioma heterogeneity and potential clinical applications.
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MDPI and ACS Style
Abdul Rashid, K.; Ramli, N.; Ibrahim, K.; Narayanan, V.; Wong, J.H.D.
Lipid Biomarkers in Glioma: Unveiling Molecular Heterogeneity Through Tissue and Plasma Profiling. Int. J. Mol. Sci. 2025, 26, 9820.
https://doi.org/10.3390/ijms26199820
AMA Style
Abdul Rashid K, Ramli N, Ibrahim K, Narayanan V, Wong JHD.
Lipid Biomarkers in Glioma: Unveiling Molecular Heterogeneity Through Tissue and Plasma Profiling. International Journal of Molecular Sciences. 2025; 26(19):9820.
https://doi.org/10.3390/ijms26199820
Chicago/Turabian Style
Abdul Rashid, Khairunnisa, Norlisah Ramli, Kamariah Ibrahim, Vairavan Narayanan, and Jeannie Hsiu Ding Wong.
2025. "Lipid Biomarkers in Glioma: Unveiling Molecular Heterogeneity Through Tissue and Plasma Profiling" International Journal of Molecular Sciences 26, no. 19: 9820.
https://doi.org/10.3390/ijms26199820
APA Style
Abdul Rashid, K., Ramli, N., Ibrahim, K., Narayanan, V., & Wong, J. H. D.
(2025). Lipid Biomarkers in Glioma: Unveiling Molecular Heterogeneity Through Tissue and Plasma Profiling. International Journal of Molecular Sciences, 26(19), 9820.
https://doi.org/10.3390/ijms26199820
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