Sex-Based Impact of Creatine Supplementation on Depressive Symptoms, Brain Serotonin and SSRI Efficacy in an Animal Model of Treatment-Resistant Depression.

BACKGROUND: Rates of major depressive disorder (MDD) increase with living at altitude. In our model, rats housed at moderate altitude (in hypobaric hypoxia) exhibit increased depression-like behavior, altered brain serotonin and a lack of antidepressant response to most selective serotonin reuptake inhibitors (SSRIs). A forebrain deficit in the bioenergetic marker creatine is noted in people living at altitude or with MDD. METHODS: Rats housed at 4500 ft were given dietary creatine monohydrate (CRMH, 4% w/w, 5 weeks) vs. un-supplemented diet, and impact on depression-like behavior, brain bioenergetics, serotonin and SSRI efficacy assessed. RESULTS: CRMH significantly improved brain creatine in a sex-based manner. At altitude, CRMH increased serotonin levels in the female prefrontal cortex and striatum but reduced male striatal and hippocampal serotonin. Dietary CRMH was antidepressant in the forced swim test and anti-anhedonic in the sucrose preference test in only females at altitude, with motor behavior unchanged. CRMH improved fluoxetine efficacy (20 mg/kg) in only males at altitude: CRMH + SSRI significantly improved male striatal creatine and serotonin vs. CRMH alone. CONCLUSIONS: Dietary CRMH exhibits sex-based efficacy in resolving altitude-related deficits in brain biomarkers, depression-like behavior and SSRI efficacy, and may be effective clinically for SSRI-resistant depression at altitude. This is the first study to link CRMH treatment to improving brain serotonin.

Correlation and convolution analysis of peptide mass spectra.

As proteomics continues to establish itself as an effective postgenomic research tool, there is an increasingly urgent need for efficient, automated analysis techniques capable of effectively dealing with the vast amounts of data generated via mass spectrometry. Wholesale analysis packages, often used to deal with these enormous amounts of data, may benefit from supplementary, targeted analyses as current research begins to emphasize posttranscriptional/translational protein modifications, protein truncations, and poorly characterized mutations. We demonstrate the application of a new analysis technique based on mathematical correlation that is computationally efficient and robust against different instruments, noise levels, and experimental conditions. We have previously shown that this technique is able to extract pertinent mass shift signals from MS data, corresponding to the neutral loss of a modification from a peptide, e.g., a loss of 79.97 Th from phosphorylated tyrosine. Here we show that an extension of this method is applicable to MS and MS/MS data in general, allowing visualization of ions that produce a particular mass shift signal, be it from differential stable isotope labeling, overlap of fragment ions in a series, or ions that produce a neutral loss. The application of this method allows the researcher to discover individual features, such as the presence of specific modified or isotopically labeled peptides, to eliminate overlapping fragment ion series, and to localize specific sites of modification.