Weihua Shao

Metabolomic identification of molecular changes associated with stress resilience in the chronic mild stress rat model of depression

Chronic stressful events are key risk factors for major depressive disorder (MDD), yet some individuals exposed to stressful events do not develop MDD. This disparity suggests the significance of resilience to deleterious stress effects. However, the underlying molecular mechanisms of stress resilience are poorly understood. In the present study, the chronic mild stress (CMS) rat model of depression was used to reveal the individual differences in stress response. Employing a gas chromatography/mass spectrometry metabolomic approach, the molecular changes associated with stress resilience in rat cerebellum were characterized by comparing anhedonic, CMS resilient and control groups. The results showed that four cerebellar metabolites—proline, lysine, glutamine, and dihydroxyacetone phosphate—were identified as the key differential metabolites associated with stress resilience. These metabolites may play a potential role in rendering individuals less vulnerable to CMS exposure. These findings provide insight into the molecular mechanisms underlying stress resilience and shed light on novel therapeutic opportunities to augment stress resiliency.

Combined Application of NMR- and GC-MS-Based Metabonomics Yields a Superior Urinary Biomarker Panel for Bipolar Disorder

Bipolar disorder (BD) is a debilitating mental disorder that cannot be diagnosed by objective laboratory-based modalities. Our previous studies have independently used nuclear magnetic resonance (NMR)-based and gas chromatography-mass spectrometry (GC-MS)-based metabonomic methods to characterize the urinary metabolic profiles of BD subjects and healthy controls (HC). However, the combined application of NMR spectroscopy and GC-MS may identify a more comprehensive metabolite panel than any single metabonomic platform alone. Therefore, here we applied a dual platform (NMR spectroscopy and GC-MS) that generated a panel of five metabolite biomarkers for BD-four GC-MS-derived metabolites and one NMR-derived metabolite. This composite biomarker panel could effectively discriminate BD subjects from HC, achieving an area under receiver operating characteristic curve (AUC) values of 0.974 in a training set and 0.964 in a test set. Moreover, the diagnostic performance of this panel was significantly superior to the previous single platform-derived metabolite panels. Thus, the urinary biomarker panel identified here shows promise as an effective diagnostic tool for BD. These findings also demonstrate the complementary nature of NMR spectroscopy and GC-MS for metabonomic analysis, suggesting that the combination of NMR spectroscopy and GC-MS can identify a more comprehensive metabolite panel than applying each platform in isolation.

iTRAQ-based quantitative analysis of hippocampal postsynaptic density-associated proteins in a rat chronic mild stress model of depression.

Major depressive disorder (MDD) is a prevalent psychiatric mood illness and a major cause of disability and suicide worldwide. However, the underlying pathophysiology of MDD remains poorly understood due to its heterogenic nature. Extensive pre-clinical research suggests that many molecular alterations associated with MDD preferentially localize to the postsynaptic density (PSD). Here, we used a rodent chronic mild stress (CMS) model to generate susceptible and unsusceptible subpopulations. Proteomic analysis using an isobaric tag for relative and absolute quantitation (iTRAQ) and tandem mass spectrometry was performed to identify differentially expressed proteins in enriched PSD preparations from the hippocampi of different groups. More than 1500 proteins were identified and quantified, and 74 membrane proteins were differentially expressed. Of these membrane proteins, 51 (69%) were identified by SynaptomeDB search as having a predicted PSD localization. The unbiased profiles identified several PSD candidate proteins that may be related to CMS vulnerability or insusceptibility, and these two CMS phenotypes displayed differences in the abundance of several types of proteins. A detailed protein functional analysis pointed to a role for PSD-associated proteins involved in signaling and regulatory functions. Within the PSD, the N-methyl-D-aspartate (NMDA) receptor subunit NR2A and its downstream targets contribute to CMS susceptibility. Further analysis of disease relevance indicated that the PSD contains a complex set of proteins of known relevance to mental illnesses including depression. In sum, these findings provide novel insights into the contribution of PSD-associated proteins to stress susceptibility and further advance our understanding of the role of hippocampal synaptic plasticity in MDD.

Combined Metabolomics and Proteomics Analysis of Major Depression in an Animal Model: Perturbed Energy Metabolism in the Chronic Mild Stressed Rat Cerebellum

Major depressive disorder (MDD) is a highly prevalent, debilitating mental illness of importance for global health. However, its molecular pathophysiology remains poorly understood. Combined proteomics and metabolomics approaches should provide a comprehensive understanding of MDDs etiology. The present study reports novel -omics insights from a rodent model of MDD. Cerebellar samples from chronic mild stressed (CMS)-treated depressed rats and controls were compared with a focus on the differentially expressed proteins and metabolites using isobaric tags for relative and absolute quantitation (iTRAQ)-based proteomics and gas chromotography/mass spectrometry (GC-MS) metabolomics techniques, respectively. The combined analyses found significant alterations associated with cerebellar energy metabolism, as indicated by (1) abnormal amino acid metabolism accompanied by corresponding metabolic enzymatic alterations and disturbed protein turnover, (2) increased glycolytic and tricarboxylic acid (TCA) cycle enzyme levels paralleled by changes in the concentrations of associated metabolites, and (3) perturbation of ATP biosynthesis through adenosine accompanied by perturbation of the mitochondrial respiratory chain. To the best of our knowledge, this study is the first to integrate proteomics and metabolomics analyses to examine the pathophysiological mechanism(s) underlying MDD in a CMS rodent model of depression. These results can offer important insights into the pathogenesis of MDD.

Quantitative Proteomic Analysis Reveals Molecular Adaptations in the Hippocampal Synaptic Active Zone of Chronic Mild Stress-Unsusceptible Rats

Background: While stressful events are recognized as an important cause of major depressive disorder, some individuals exposed to life stressors maintain normal psychological functioning. The molecular mechanism(s) underlying this phenomenon remain unclear. Abnormal transmission and plasticity of hippocampal synapses have been implied to play a key role in the pathoetiology of major depressive disorder. Methods: A chronic mild stress protocol was applied to separate susceptible and unsusceptible rat subpopulations. Proteomic analysis using an isobaric tag for relative and absolute quantitation coupled with tandem mass spectrometry was performed to identify differential proteins in enriched hippocampal synaptic junction preparations. Results: A total of 4318 proteins were quantified, and 89 membrane proteins were present in differential amounts. Of these, SynaptomeDB identified 81 (91%) having a synapse-specific localization. The unbiased profiles identified several candidate proteins within the synaptic junction that may be associated with stress vulnerability or insusceptibility. Subsequent functional categorization revealed that protein systems particularly involved in membrane trafficking at the synaptic active zone exhibited a positive strain as potential molecular adaptations in the unsusceptible rats. Moreover, through STRING and immunoblotting analysis, membrane-associated GTP-bound Rab3a and Munc18-1 appear to coregulate syntaxin-1/SNAP25/VAMP2 assembly at the hippocampal presynaptic active zone of unsusceptible rats, facilitating SNARE-mediated membrane fusion and neurotransmitter release, and may be part of a stress-protection mechanism in actively maintaining an emotional homeostasis. Conclusions: The present results support the concept that there is a range of potential protein adaptations in the hippocampal synaptic active zone of unsusceptible rats, revealing new investigative targets that may contribute to a better understanding of stress insusceptibility.

Direct Blue 71 staining as a destaining‐free alternative loading control method for Western blotting

In Western blotting, a suitable loading control is indispensable for correcting errors in the total amount of loaded protein. Immunodetection of housekeeping proteins and total protein staining have traditionally been used as loading control methods. Direct Blue 71 (DB71) staining—a novel, sensitive, dye‐binding staining method compatible with immunodetection—may offer advantages over these traditional loading control methods. Three common neuroscientific samples (human plasma, human oligodendrocytes, and rat brain) were employed to assess DB71 staining as a loading control method for Western blotting. DB71, CBB, one traditional housekeeping protein, and one protein of interest were comparatively assessed for reliability and repeatability and linear dynamic range over 2.5–40 μg of protein loaded. DB71s effect on the reliability and repeatability and linear dynamic range of immunoreaction were also assessed. Across all three sample types, DB71 was either equivalent or superior to CBB and housekeeping protein‐based methods in terms of reliability and repeatability and linear dynamic range. Across all three sample types, DB71 staining did not impair the reliability and repeatability or linear dynamic range of immunoreaction. Our results demonstrate that the DB71 staining can be used as a destaining‐free alternative loading control method for Western blotting.

Monounsaturated Fatty Acid Intake and Stroke Risk: A Meta-analysis of Prospective Cohort Studies

BACKGROUNDnWe performed a meta-analysis aiming to clarify the relationship between monounsaturated fatty acid (MUFA) intake and stroke risk.nnnMETHODSnRelevant studies were identified by searching relevant databases through January 2016. We included cohort studies that reported relative risks (RRs) with 95% confidence intervals (CIs) for the association between MUFA intake and stroke risk. A random-effects model was used to derive composite RR estimates for stroke.nnnRESULTSnTen prospective cohort studies including 314,511 nonoverlapping individuals and 5827 strokes were included. Higher MUFA intake was not associated with risk of overall stroke (RRu2009=u2009.86 [95% CI, .74-1.00]) and risk of ischemic stroke (RRu2009=u2009.92 [95% CI, .79-1.08]), but was associated with a reduced risk of hemorrhagic stroke (RRu2009=u2009.68 [95% CI, .49-.96]). In subgroup analyses, higher MUFA intake was associated with a reduced risk of stroke for a follow-up duration of 14 years or more (RRu2009=u2009.77 [95% CI, .68-.87]), for males (RRu2009=u2009.79 [95% CI, .69-.91]), for 24-hour recall (RRu2009=u2009.74 [95% CI, .63-.86]), and for a quality score of more than 8 stars (RRu2009=u2009.78 [95% CI, .61-.98]).nnnCONCLUSIONSnThere is no significant evidence for concluding that dietary MUFA is associated with a reduced risk of overall stroke. However, higher MUFA intake seems to be associated with a reduced risk of hem orrhagic stroke but not ischemic stroke. Duration of MUFA intake and sex are considered as factors affecting the relationship between MUFA intake and stroke risk. Further studies are needed to evaluate the relationship between specific food sources of MUFA (i.e., plant versus animal) and stroke risk.

1H NMR-Based Metabolic Profiling Reveals the Effects of Fluoxetine on Lipid and Amino Acid Metabolism in Astrocytes

Fluoxetine, a selective serotonin reuptake inhibitor (SSRI), is a prescribed and effective antidepressant and generally used for the treatment of depression. Previous studies have revealed that the antidepressant mechanism of fluoxetine was related to astrocytes. However, the therapeutic mechanism underlying its mode of action in astrocytes remains largely unclear. In this study, primary astrocytes were exposed to 10 µM fluoxetine; 24 h post-treatment, a high-resolution proton nuclear magnetic resonance (1H NMR)-based metabolomic approach coupled with multivariate statistical analysis was used to characterize the metabolic variations of intracellular metabolites. The orthogonal partial least-squares discriminant analysis (OPLS-DA) score plots of the spectra demonstrated that the fluoxetine-treated astrocytes were significantly distinguished from the untreated controls. In total, 17 differential metabolites were identified to discriminate the two groups. These key metabolites were mainly involved in lipids, lipid metabolism-related molecules and amino acids. This is the first study to indicate that fluoxetine may exert antidepressant action by regulating the astrocyte’s lipid and amino acid metabolism. These findings should aid our understanding of the biological mechanisms underlying fluoxetine therapy.

Elevated host lipid metabolism revealed by iTRAQ-based quantitative proteomic analysis of cerebrospinal fluid of tuberculous meningitis patients.

PURPOSEnTuberculous meningitis (TBM) remains to be one of the most deadly infectious diseases. The pathogen interacts with the host immune system, the process of which is largely unknown. Various cellular processes of Mycobacterium tuberculosis (MTB) centers around lipid metabolism. To determine the lipid metabolism related proteins, a quantitative proteomic study was performed here to identify differential proteins in the cerebrospinal fluid (CSF) obtained from TBM patients (n = 12) and healthy controls (n = 12).nnnMETHODSnCSF samples were desalted, concentrated, labelled with isobaric tags for relative and absolute quantitation (iTRAQ™), and analyzed by multi-dimensional liquid chromatography-tandem mass spectrometry (LC-MS/MS). Gene ontology and proteomic phenotyping analysis of the differential proteins were conducted using Database for Annotation, Visualization, and Integrated Discovery (DAVID) Bioinformatics Resources. ApoE and ApoB were selected for validation by ELISA.nnnRESULTSnProteomic phenotyping of the 4 differential proteins was invloved in the lipid metabolism. ELISA showed significantly increased ApoB levels in TBM subjects compared to healthy controls. Area under the receiver operating characteristic curve analysis demonstrated ApoB levels could distinguish TBM subjects from healthy controls and viral meningitis subjects with 89.3% sensitivity and 92% specificity.nnnCONCLUSIONSnCSF lipid metabolism disregulation, especially elevated expression of ApoB, gives insights into the pathogenesis of TBM. Further evaluation of these findings in larger studies including anti-tuberculosis medicated and unmedicated patient cohorts with other center nervous system infectious diseases is required for successful clinical translation.

Metabolomic profiling of three brain regions from a postnatal infected Borna disease virus Hu-H1 rat model

Neonatal rat infection with Borna disease virus (BDV), termed neonatal Borna disease, is an established model for investigating the BDV-associated pathogenesis of neurodevelopmental abnormalities. BDV produces a persistent noncytolytic infection in all culture cell systems assayed to date, while persistent infection in neonatal rats results in a progressive loss of hippocampal granule cells, cerebellar Purkinje cells, and cortical GABA-ergic neurons. Persistent infection also results in behavioral deficits including hyperactivity, cognitive impairment, and abnormal social behavior. However, the molecular mechanisms underlying the neuronal degeneration and behavioral abnormalities remain unclear. Using a metabolomic approach based on gas chromatography coupled with mass spectrometry in conjunction with statistical pattern recognition, the metabolic changes in response to BDV Hu-H1 infection were characterized in the rat hippocampus, cerebellum, and cortex. Metabonomic profiling revealed significant perturbations in nucleotide (e.g., adenosine, uracil, inosine, adenosine-5′-monophosphate, uridine-5′-monophosphate, d-ribose 5-phosphate, and sedoheptulose 7-phosphate), amino acid (e.g., lysine, glycine, phenylalanine, tyrosine, proline, serine, cysteine, aspartic acid, pyroglutamic acid, and γ-aminobutyric acid), lipid (e.g., cholesterol, myristic acid, stearic acid, palmitic acid, 1-monopalmitoylglycerol, and arachidonic acid), and energy (e.g., glucose, lactose, 3-phosphoglyceric acid, and pyruvic acid) metabolites. These metabolites participate in pathways crucial to viral proliferation and neurotransmitter homeostasis. This metabolomic profiling study provides insight into the pathogenic mechanisms of BDV and new directions with which to investigate the in vivo effects of persistent BDV infection.