Abstract
Introduction
Epilepsy is a chronic disease, while epileptogenesis is a latent period where brain will be transformed into an epileptic one. Mechanisms of epileptogenesis remain unclear.
Objectives
We aim to provide information of hippocampal lipidomic changes related with epileptogenesis in two kindling models. Combining hippocampal structural imaging indices, our study also attempts to assess biochemical alterations as a function of epileptogenesis in a non-invasive way.
Methods
We constructed two kinds of chemical kindling models, which have long been used as models of epileptogenesis. Two kindling and one control groups were all subjected to structural imaging acquisition after successfully kindled. Voxel-based morphometry, a postprocessing method for brain imaging data, was used to segment and extract hippocampal gray matter volume for subsequent integrative analysis. LC–MS based lipidomic analysis was applied to identify distinct hippocampal lipidomic profiles between kindling and control groups. Further, we regress hippocampal structural indices on lipids to identify those associated with both epileptogenesis and brain structural changes.
Results
We report distinct lipidomic profiles between kindling groups and control. A total of 638 lipids were detected in all three groups. Among them were 98 individual lipids, showing significant alterations, in particular lipid class of phosphatidylethanolamine (PE), glucosylceramide and phosphatidylcholine. Hippocampal gray matter volumes were found significant different between groups (P = 0.0223). After combining brain imaging data, we demonstrate several individual PE, namely PE(O-18:1_22:3), PE(O-18:1_22:6) and PE(18:1_18:1), are associated with both epileptogenesis and hippocampal gray matter volume.
Conclusion
This study suggests metabolic pathway of PE might involve in epileptogenesis. Also, for the first time, we link level of PE with structural brain imaging indices, in an attempt to potentiate the futuristic application of noninvasive brain imaging techniques to identify epileptogenesis in its latent period.
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Abbreviations
- SM:
-
Sphinomyelin
- GlcCer:
-
Glucosylceramides
- PE:
-
Phosphatidylethanolamine
- PI:
-
Phosphatidylinositol
- PC:
-
Phosphatidylcholine
- PG:
-
Phosphatidylglycerol
- TG:
-
Triglyceride
- PS:
-
Phosphatidylserine
- DG:
-
Diglyceride
- LPI:
-
Lysophosphatidylinositol
- LPC:
-
Lysophosphatidylcholine
- LdMePE:
-
Lysodi-methylphosphatidylethanolamine
- GM1:
-
Ganglioside
- PET:
-
Positron emission computed tomography
- LCMS:
-
Liquid chromatography couple to mass spectrometry
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Acknowledgements
We really appreciate Xiangzhe Qiu from School of Life Science and Technology, University of Electronic Science and Technology of China for his help in regression model construction and imaging data preprocess. This study was supported by the National Natural Science Foundation of China (Grant Number: 81871018) and Foundation from Health Commission of Sichuan Province (Grant Number: 18ZD010).
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Concept and study design: LC, XQ, MG; Data analyses: LZ, WZ, XQ, LZ; Drafting the initial versions of the manuscript: XQ; Data collection: XQ, LZ, WZ, WL, AP, WL; Supervision: MK, MG, LC, LY; Commenting on draft versions of the manuscript: LZ, MK, WL, WZ, AP, WL, LY, LZ, MG, LC; Final approval of the manuscript: XQ, LZ, MK, WL, WZ, AP, WL, LY, LZ, MG, LC.
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The authors declare that they have no competing interests. The manuscript is approved by all authors for publication. The work described was original research that has not been published previously, and not under consideration for publication elsewhere, in whole or in part.
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All applicable international, national, and/or institutional guidelines for the care and use of animals were followed in this study. This study was approved by Animal Ethics Committee of West China Hospital (Approval Code: 2018115A).
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Qiu, X., Zhang, L., Kinoshita, M. et al. Integrative analysis of non-targeted lipidomic data and brain structural imaging identifies phosphatidylethanolamine associated with epileptogenesis. Metabolomics 16, 110 (2020). https://doi.org/10.1007/s11306-020-01731-w
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DOI: https://doi.org/10.1007/s11306-020-01731-w