| Title |
Plasma disturbance of phospholipid metabolism in major depressive disorder by integration of proteomics and metabolomics
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, June 2018
|
| DOI | 10.2147/ndt.s164134 |
| Pubmed ID | |
| Authors |
Si-Wen Gui, Yi-Yun Liu, Xiao-Gang Zhong, Xinyu Liu, Peng Zheng, Jun-Cai Pu, Jian Zhou, Jian-Jun Chen, Li-Bo Zhao, Lan-Xiang Liu, Guowang Xu, Peng Xie |
| Abstract |
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). 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. 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. 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. |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 16% |
| Researcher | 8 | 15% |
| Student > Ph. D. Student | 5 | 9% |
| Student > Doctoral Student | 4 | 7% |
| Student > Bachelor | 4 | 7% |
| Other | 6 | 11% |
| Unknown | 19 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 11% |
| Psychology | 5 | 9% |
| Neuroscience | 5 | 9% |
| Agricultural and Biological Sciences | 5 | 9% |
| Medicine and Dentistry | 3 | 5% |
| Other | 8 | 15% |
| Unknown | 23 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 June 2018.
All research outputs
#22,767,715
of 25,382,440 outputs
Outputs from Neuropsychiatric Disease and Treatment
#2,583
of 3,131 outputs
Outputs of similar age
#301,103
of 342,877 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#63
of 78 outputs
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