1
|
Zhou D, Long C, Shao Y, Li F, Sun W, Zheng Z, Wang X, Huang Y, Pan F, Chen G, Guo Y, Huang Y. Integrated Metabolomics and Proteomics Analysis of Urine in a Mouse Model of Posttraumatic Stress Disorder. Front Neurosci 2022; 16:828382. [PMID: 35360173 PMCID: PMC8963102 DOI: 10.3389/fnins.2022.828382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 02/23/2022] [Indexed: 11/23/2022] Open
Abstract
Posttraumatic stress disorder (PTSD) is a serious stress disorder that occurs in individuals who have experienced major traumatic events. The underlying pathological mechanisms of PTSD are complex, and the related predisposing factors are still not fully understood. In this study, label-free quantitative proteomics and untargeted metabolomics were used to comprehensively characterize changes in a PTSD mice model. Differential expression analysis showed that 12 metabolites and 27 proteins were significantly differentially expressed between the two groups. Bioinformatics analysis revealed that the differentiated proteins were mostly enriched in: small molecule binding, transporter activity, extracellular region, extracellular space, endopeptidase activity, zymogen activation, hydrolase activity, proteolysis, peptidase activity, sodium channel regulator activity. The differentially expressed metabolites were mainly enriched in Pyrimidine metabolism, D-Glutamine and D-glutamate metabolism, Alanine, aspartate and glutamate metabolism, Arginine biosynthesis, Glutathione metabolism, Arginine, and proline metabolism. These results expand the existing understanding of the molecular basis of the pathogenesis and progression of PTSD, and also suggest a new direction for potential therapeutic targets of PTSD. Therefore, the combination of urine proteomics and metabolomics explores a new approach for the study of the underlying pathological mechanisms of PTSD.
Collapse
Affiliation(s)
- Daxue Zhou
- Biomedical Analysis Center, Army Medical University, Chongqing, China
| | - Chengyan Long
- Chongqing Academy of Chinese Materia Medica, Chongqing, China
| | - Yan Shao
- Biomedical Analysis Center, Army Medical University, Chongqing, China
| | - Fei Li
- Biomedical Analysis Center, Army Medical University, Chongqing, China
| | - Wei Sun
- Biomedical Analysis Center, Army Medical University, Chongqing, China
| | - Zihan Zheng
- Biomedical Analysis Center, Army Medical University, Chongqing, China
| | - Xiaoyang Wang
- Biomedical Analysis Center, Army Medical University, Chongqing, China
| | - Yiwei Huang
- Biomedical Analysis Center, Army Medical University, Chongqing, China
| | - Feng Pan
- Biomedical Analysis Center, Army Medical University, Chongqing, China
| | - Gang Chen
- Biomedical Analysis Center, Army Medical University, Chongqing, China
- Key Laboratory of Extreme Environmental Medicine, Ministry of Education of China, Chongqing, China
- Chongqing Key Laboratory of Cytomics, Chongqing, China
- *Correspondence: Gang Chen,
| | - Yanlei Guo
- Chongqing Academy of Chinese Materia Medica, Chongqing, China
- Yanlei Guo,
| | - Yi Huang
- Biomedical Analysis Center, Army Medical University, Chongqing, China
- Yi Huang,
| |
Collapse
|
2
|
Huan Y, Wei J, Su T, Gao Y. Urine proteome changes in a chronic unpredictable mild stress (CUMS) mouse model of major depressive disorder. J Pharm Biomed Anal 2021; 199:114064. [PMID: 33862505 DOI: 10.1016/j.jpba.2021.114064] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 03/29/2021] [Accepted: 04/04/2021] [Indexed: 12/19/2022]
Abstract
Major depressive disorder (MDD) is a prevalent complex psychiatric disorder, and there are no effective biomarkers for clinical diagnosis. Urine is not subjected to homeostatic control, allowing it to reflect the sensitive changes that occur in various diseases. In this study, we examined the urine proteome changes in a chronic unpredictable mild stress mouse model of MDD. Male C57BL/6 mice were subjected to chronic unpredictable mild stress for 5 weeks. The tail suspension test and sucrose consumption test were then applied to evaluate depression-like behaviors. The urine proteomes on day 0 and day 36 in the CUMS group were profiled by liquid chromatography coupled with tandem mass spectrometry (LCMS/MS). A total of 36 differential proteins were identified, 19 of which have been associated with the pathogenic mechanisms of MDD. There was an average of two differential proteins that were identified through 1,048,574 random combination statistical analyses, indicating that at least 95 % of the differential proteins were reliable. The differential proteins were mainly associated with blood coagulation, inflammatory responses and central nervous system development. Our preliminary results indicated that the urine proteome can reflect changes associated with MDD in the CUMS model, which provides potential clues for the diagnosis of MDD.
Collapse
Affiliation(s)
- Yuhang Huan
- Department of Biochemistry and Molecular Biology, Beijing Normal University, Gene Engineering Drug and Biotechnology Beijing Key Laboratory, Beijing, 100875, China.
| | - Jing Wei
- Department of Biochemistry and Molecular Biology, Beijing Normal University, Gene Engineering Drug and Biotechnology Beijing Key Laboratory, Beijing, 100875, China.
| | - Tong Su
- State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences and Peking Union Medical College, Neuroscience Center, Chinese Academy of Medical Sciences, Beijing, 100005, China.
| | - Youhe Gao
- Department of Biochemistry and Molecular Biology, Beijing Normal University, Gene Engineering Drug and Biotechnology Beijing Key Laboratory, Beijing, 100875, China.
| |
Collapse
|
3
|
Abstract
Brain-derived neurotrophic factor (BDNF) is a neurotrophin that modulates neuroplasticity in the brain, and is one of the most widely investigated molecule in psychiatric disorders. The researches of BDNF emcompassed the advance of investigative techniques of past decades. BDNF researches ranged from protein quantilization, to RNA expression measurements, to DNA sequencing, and lately but not lastly, epigenetic studies. In this review, we will briefly address findings on BDNF protein levels, mRNA expression, Val66Met polymorphism, and epigenetic modifications, in schizophrenia, major depressive disorder (MDD), and bipolar disorder.
Collapse
Affiliation(s)
- Chin-Chuen Lin
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Tiao-Lai Huang
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan; Genomic and Proteomic Core Laboratory, Department of Medical Research, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan.
| |
Collapse
|
4
|
Qin Y, Jiang X, Li W, Li J, Tian T, Zang G, Fang L, Zhou C, Xu B, Gong X, Huang C, Yang X, Bai M, Fan L, Xie P. Chronic mild stress leads to aberrant glucose energy metabolism in depressed Macaca fascicularis models. Psychoneuroendocrinology 2019; 107:59-69. [PMID: 31108306 DOI: 10.1016/j.psyneuen.2019.05.007] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Revised: 05/05/2019] [Accepted: 05/09/2019] [Indexed: 12/18/2022]
Abstract
BACKGROUND Major depressive disorder (MDD) is a pathophysiologically uncharacterized mental illness with complex etiology and clinical manifestations. Rodent depression-like models have been widely used to mimic the morbid state of depression. However, research on emotional disorders can also benefit from the use of models in non-human primates, which share a wide range of genetic and social similarities with humans. METHODS To investigate the pathophysiological mechanisms of depression, we established two models, naturally occurring depression cynomolgus (NOD) and social plus visual isolation-induced depression cynomolgus (SVC), imitating chronic mild or acute intense stress, respectively. We used i-TRAQ (isobaric tags for relative and absolute quantitation)-based quantitative proteomics and shotgun proteomics to identify differentially expressed proteins in cerebrospinal fluid (CSF) of the two monkey models and human MDD patients. We also used DAVID and ingenuity pathway analysis (IPA) for further bioinformatic investigation. RESULTS In behavioral tests, NOD monkeys achieved higher scores in depression-like and anxiety-like behavioral measures, and spent more time on ingesting, thermoregulatory, and locomotive actions than SVC monkeys. A total of 902 proteins were identified by i-TRAQ, and 40 differentially expressed proteins were identified in each of the NOD-CON1 and SVC-CON2 groups. Application of DAVID revealed dysregulation of energy metabolism in the NOD group, whereas lipid metabolism and inflammatory response pathways were significantly altered in the SVC group. Use of IPA and Cytoscape showed that the oxygen species metabolic process glycolysis I/gluconeogenesis I, accompanied by downregulation of tubulin beta 3 class III (TUBB3), RAC-alpha serine/threonine-protein kinase (AKT1), and glyceraldehyde-3-phosphate dehydrogenase (GAPDH), was the most significantly affected pathway in the NOD group. Furthermore, 152 differentially expressed proteins in human MDD patients also revealed disruption of glucose energy metabolism. Significantly aberrant energy metabolism in various brain regions and the plasma and liver of chronic unpredictable mild stress rodent samples were also observed in a previous study. CONCLUSIONS Our results reveal for the first time the overall CSF protein profiles of two cynomolgus monkey models of depression. We propose that chronic mild stress may affect the disruption of glucose energy metabolism in NOD cynomolgus monkeys and rodents. These findings promote our understanding of the pathophysiology of MDD and may help to identify novel therapeutic targets.
Collapse
Affiliation(s)
- Yinhua Qin
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing 400016, China; Chongqing Key Laboratory of Neurobiology, Chongqing 400016, China; Key Laboratory of Laboratory Medical Diagnostics of Education, Department of Laboratory Medicine, Chongqing 400016, China
| | - XiaoFeng Jiang
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing 400016, China; Chongqing Key Laboratory of Neurobiology, Chongqing 400016, China; Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Wei Li
- Department of Neurology, Army Medical Center of PLA, Chongqing 400042, China
| | - Jie Li
- Clinical Medicine Research Center, Dazhou Central Hospital, Sichuan 635000, China
| | - Tian Tian
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing 400016, China; Chongqing Key Laboratory of Neurobiology, Chongqing 400016, China; Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Guangchao Zang
- Chongqing Key Laboratory of Neurobiology, Chongqing 400016, China; Laboratory of Tissue and Cell Biology, Lab Teaching & Management Center of Chongqing Medical University, Chongqing 400016, China
| | - Liang Fang
- Department of Neurology, Yongchuan Hospital, Chongqing Medical University, Chongqing 402460, China
| | - Chanjuan Zhou
- Department of Neurology, Yongchuan Hospital, Chongqing Medical University, Chongqing 402460, China
| | - Bin Xu
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing 400016, China; Chongqing Key Laboratory of Neurobiology, Chongqing 400016, China; Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Xue Gong
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing 400016, China; Chongqing Key Laboratory of Neurobiology, Chongqing 400016, China; Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Cheng Huang
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing 400016, China; Chongqing Key Laboratory of Neurobiology, Chongqing 400016, China; Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Xun Yang
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing 400016, China; Chongqing Key Laboratory of Neurobiology, Chongqing 400016, China; Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Mengge Bai
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing 400016, China; Chongqing Key Laboratory of Neurobiology, Chongqing 400016, China; Key Laboratory of Laboratory Medical Diagnostics of Education, Department of Laboratory Medicine, Chongqing 400016, China
| | - Li Fan
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing 400016, China; Chongqing Key Laboratory of Neurobiology, Chongqing 400016, China; Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Peng Xie
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing 400016, China; Chongqing Key Laboratory of Neurobiology, Chongqing 400016, China; Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
| |
Collapse
|