Abstract
Hypothalamus–pituitary–adrenal (HPA) axis hyperactivity is observed in many patients suffering from depression. However, the mechanism underlying the dysfunction of the HPA axis is not well understood. Moreover, dysfunction of the hypothalamus, the key brain region of the HPA axis, has not been well-explored. The aim of our study was to examine possible alterations in hypothalamus protein expression in a model of depression using proteomic analysis. In order to achieve this aim, mice were exposed to chronic unpredictable mild stress (CUMS), as the paradigm results in hyperactivity of the HPA axis. Differential protein expression between the hypothalamic proteomes of CUMS and control mice was then assessed through two-dimensional electrophoresis followed by matrix-assisted laser desorption ionization-time of flight-tandem mass spectrometry. Thirty-seven proteins with a threshold of a 1.5-fold change and a p value ≤0.05 were identified as being differentially expressed between CUMS and control mice, and were quantified for bioinformatics analysis. Glycometabolism, citrate cycle (TCA cycle) and oxidation respiratory chain were found to have changed significantly. Glial fibrillary acidic protein and glutamine synthetase were further validated by Western Blot. Our results demonstrated that CUMS mice exhibited a dramatic protein change both in glutamate metabolism and energy mobilization, which may shed some light on the role of the hypothalamus in the pathology of stress-induced depression.
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Abbreviations
- 2-DE:
-
Two-dimensional electrophoresis
- ACTH:
-
Adrenocorticotropic hormone
- CON:
-
Control
- CRF:
-
Corticotrophin-releasing factor
- CUMS:
-
Chronic unpredictable mild stress
- DAVID:
-
Database for annotation, visualization and integrated discovery
- FST:
-
Forced swimming test
- GAPDH:
-
Glyceraldehyde-3-phosphate dehydrogenase
- GFAP:
-
Glial fibrillary acidic protein
- GO:
-
Gene ontology
- GR:
-
Glucocorticoid receptor
- GS:
-
Glutamine synthetase
- HPA:
-
Hypothalamus–pituitary–adrenal
- IEF:
-
Isoelectric focusing
- KEGG:
-
Kyoto Encyclopedia of Genes and Genomes
- MALDI-TOF–MS/MS:
-
Matrix-assisted laser desorption ionization-time of flight–tandem mass spectrometry
- MW:
-
Molecular weight
- OD:
-
Optical density
- OFT:
-
Open field test
- pI:
-
Isoelectric point
- SPSS:
-
Statistical Package of Social Science
- SPT:
-
Sucrose preference test
- TCA:
-
Tricarboxylic acid
- UniProt:
-
Universal protein resource
- MDD:
-
Major depressive disorder
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Acknowledgments
We thank Dr. ChenruiHou (Shanghai Institute for Biological Sciences, Chinese Academy of Sciences) for his assistance with the mass spectrometric analysis. We would like to thank Editage (http://www.editage.cn/) for English language editing and proofreading this manuscript. This work was supported by grants from the National Basic Research Program of China (“973 program”, Grant No. 2009CB918300). The Health Bureau medical scientific research projects of Chongqing (Grant No. 20142022).
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Chenglong Rao, Haiyang Shi, Chanjuan Zhou and Dan Zhu have contributed equally to this work.
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Supplemental Fig. 1
Time schedule of procedures used in the present study. After 7 days of acclimatization, mice were trained to adapt 1 % (w/v) sucrose solution. Then a baseline of sucrose preference was gotten for group dividing, CUMS procedures were performed for 28 days. The sucrose preference test (SPT) and body weights were conducted weekly throughout the CUMS period. Open field test (OFT) and forced swimming test (FST) were executed respectively on day 29 and day 30. Tissue separated at the end of the schedule (TIFF 106 kb)
Supplemental Fig. 2
The sketch map of the molecular dysregulations supporting stress-induced depressive-like behaviors. Dysregulation of glutamatergic synapses may result in the accumulation of glutamate in the synaptic cleft, exciting the HPA axis (TIFF 353 kb)
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Rao, C., Shi, H., Zhou, C. et al. Hypothalamic Proteomic Analysis Reveals Dysregulation of Glutamate Balance and Energy Metabolism in a Mouse Model of Chronic Mild Stress-Induced Depression. Neurochem Res 41, 2443–2456 (2016). https://doi.org/10.1007/s11064-016-1957-2
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DOI: https://doi.org/10.1007/s11064-016-1957-2