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Original Research

Plasma disturbance of phospholipid metabolism in major depressive disorder by integration of proteomics and metabolomics

Si-Wen Gui1 Chongqing Key Laboratory of Neurobiology, Chongqing, China;2 Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China

Yi-Yun Liu1 Chongqing Key Laboratory of Neurobiology, Chongqing, China;2 Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China;3 Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China

Xiao-Gang Zhong1 Chongqing Key Laboratory of Neurobiology, Chongqing, China;2 Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China;4 School of Public Health and Management, Chongqing Medical University, Chongqing, China

Xinyu Liu5 CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China

Peng Zheng1 Chongqing Key Laboratory of Neurobiology, Chongqing, China;2 Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China;3 Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China

Jun-Cai Pu1 Chongqing Key Laboratory of Neurobiology, Chongqing, China;2 Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China;3 Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China

Jian Zhou1 Chongqing Key Laboratory of Neurobiology, Chongqing, China;2 Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China

Jian-Jun Chen1 Chongqing Key Laboratory of Neurobiology, Chongqing, China;2 Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China

Li-Bo Zhao6 Department of Neurology, Yongchuan Hospital of Chongqing Medical University, Chongqing, China

Lan-Xiang Liu1 Chongqing Key Laboratory of Neurobiology, Chongqing, China;2 Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China;3 Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China

Guowang Xu5 CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, ChinaCorrespondence[email protected]

Peng Xie1 Chongqing Key Laboratory of Neurobiology, Chongqing, China;2 Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China;3 Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, ChinaCorrespondence[email protected]

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Abstract

Introduction

Major depressive disorder (MDD) is a highly prevalent mental disorder affecting millions of people worldwide. However, a clear causative etiology of MDD remains unknown. In this study, we aimed to identify critical protein alterations in plasma from patients with MDD and integrate our proteomics and previous metabolomics data to reveal significantly perturbed pathways in MDD. An isobaric tag for relative and absolute quantification (iTRAQ)-based quantitative proteomics approach was conducted to compare plasma protein expression between patients with depression and healthy controls (CON).

Methods

For integrative analysis, Ingenuity Pathway Analysis software was used to analyze proteomics and metabolomics data and identify potential relationships among the differential proteins and metabolites.

Results

A total of 74 proteins were significantly changed in patients with depression compared with those in healthy CON. Bioinformatics analysis of differential proteins revealed significant alterations in lipid transport and metabolic function, including apolipoproteins (APOE, APOC4 and APOA5), and the serine protease inhibitor. According to canonical pathway analysis, the top five statistically significant pathways were related to lipid transport, inflammation and immunity.

Conclusion

Causal network analysis by integrating differential proteins and metabolites suggested that the disturbance of phospholipid metabolism might promote the inflammation in the central nervous system.

Keywords:

Supplementary materials

Table S1 Demographic and clinical features of recruited subjects of metabolomics analysis

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Table S2 Significantly differential proteins in depressed patients

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Table S3 Significantly differential metabolites in depressed patients

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Acknowledgments

This work was supported by Major Scientific Instrument and Equipment Development Project of China (Grant No 2012YQ120044) and National Key R&D Program of China (Grant No 2017YFA0505700).

Disclosure

The authors report no conflicts of interest in this work.

Plasma disturbance of phospholipid metabolism in major depressive disorder by integration of proteomics and metabolomics

Introduction

Methods

Results

Conclusion

Table S1 Demographic and clinical features of recruited subjects of metabolomics analysis

Table S2 Significantly differential proteins in depressed patients

Table S3 Significantly differential metabolites in depressed patients

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Plasma disturbance of phospholipid metabolism in major depressive disorder by integration of proteomics and metabolomics

Abstract

Introduction

Methods

Results

Conclusion

Supplementary materials

Table S1 Demographic and clinical features of recruited subjects of metabolomics analysis

Table S2 Significantly differential proteins in depressed patients

Table S3 Significantly differential metabolites in depressed patients

Acknowledgments

Disclosure

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