Plasma Amino Acid Profiling in Major Depressive Disorder Treated With Selective Serotonin Reuptake Inhibitors

Woo, Hye In; Chun, Mi Ryung; Yang, Joo Young; Lim, Seong Woo; Kim, Min Ji; Kim, Seon Woo; Myung, Woo Jae; Kim, Doh Kwan; Lee, Soo-Youn

doi:10.1111/cns.12372

Cited by 49 publications

(42 citation statements)

References 58 publications

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“…Lower CSF levels of 5-hydroxyindoleacetic acid (5-HIAA) and homovanillic acid (HVA), which are serotonin, dopamine, and norepinephrine metabolites, implied altered serotonin and dopamine functions in depressed patients [4] . Metabolites from tryptophan, tyrosine and methionine pathways might be useful for differentiation between remitted and non-remitted depression [38] ; however, the results regarding methionine plasma levels in depressive patients are contradictory [49] , [100] . Decreased concentrations of N-methylnicotinamide in depression [112] might suggest the deficiency of nicotinamide, important for coenzymes in oxidation-reduction reactions.…”

Section: Depressionmentioning

confidence: 99%

Short overview on metabolomic approach and redox changes in psychiatric disorders

et al. 2018

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Schizophrenia, depression and posttraumatic stress disorder (PTSD) are severe mental disorders and complicated diagnostic entities, due to their phenotypic, biological and genetic heterogeneity, unknown etiology, and poorly understood alterations in biological pathways and biological mechanisms. Disturbed homeostasis between overproduction of oxidant species, overcoming redox regulation and a lack of cellular antioxidant defenses, resulting in free radical-mediated pathology and subsequent neurotoxicity contributes to development of depression, schizophrenia and PTSD, their heterogeneous clinical presentation and resistance to treatment. Metabolomics is a discipline that combines different strategies with the aim to extract, detect, identify and quantify all metabolites that are present in a biological sample and might provide mechanistic insights into the etiology of various psychiatric disorders. Therefore, oxidative stress research combined with metabolomics might offer a novel approach in dissecting psychiatric disorders, since these data-driven but not necessarily hypothesis-driven methods might identify new targets, molecules and pathways responsible for development of schizophrenia, depression or PTSD. Findings from the oxidative research in psychiatry together with metabolomics data might facilitate development of specific and validated prognostic, therapeutic and clinical biomarkers. These methods might reveal bio-signatures of individual patients, leading to individualized treatment approach. In reviewing findings related to oxidative stress and metabolomics in selected psychiatric disorders, we have highlighted how these novel approaches might make a unique contribution to deeper understanding of psychopathological alterations underlying schizophrenia, depression and PTSD.

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Section: Depressionmentioning

confidence: 99%

Short overview on metabolomic approach and redox changes in psychiatric disorders

et al. 2018

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Section: Introductionmentioning

confidence: 99%

“…Changes in baseline amino acid concentrations are correlated with various diseases such as obesity [ 1 ] or major depressive disorder [ 2 , 3 , 4 ]. Specifically, alanine, serine, arginine, and valine, among others, have been shown to be disrupted in major depressive disorder patients compared to healthy controls [ 2 , 3 , 4 ]. Monitoring these changes can be done by high performance liquid chromatography–mass spectrometry (HPLC-MS) or nuclear magnetic resonance (NMR) spectroscopy [ 2 , 3 , 4 , 5 , 6 , 7 ]; limitations of these spectroscopic techniques include low throughput with complicated and/or tedious analysis.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Metal Oxide Surface Catalysts for the Electrochemical Activation of Amino Acids

Tooley

Gasperoni

Marnoto

et al. 2018

Sensors

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Electrochemical detection of amino acids is important due to their correlation with certain diseases; however, most amino acids require a catalyst to electrochemically activate. One common catalyst for electrochemical detection of amino acids are metal oxides. Metal oxide nanoparticles were electrodeposited onto glassy carbon and platinum working electrodes. Cyclic voltammetry (CV) experiments in a flow cell were performed to evaluate the sensors’ ability to detect arginine, alanine, serine, and valine at micromolar and nanomolar concentrations as high as 4 mM. Solutions were prepared in phosphate buffer saline (PBS) and then 100 mM NaOH. Specifically, NiO surfaces were responsive to amino acids but variable, especially when exposed to arginine. Polarization resistance experiments and scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDS) data indicated that arginine accelerated the corrosion of the NiO catalyst through the formation of a Schiff base complex.

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“…Liquid chromatography coupled with mass spectrometry (LC-MS) is one of the main techniques for blood plasma metabolite profiling171819. To date, many of these studies focused on either the polar metabolite2021 or lipid fractions6222324. A comprehensive coverage of metabolites, however, is important when examining the biochemical activities in an organism because both polar metabolites and lipids in multiple metabolism pathways can often be simultaneously influenced by a single biological event, such as smoking25, inflammation26 and diabetes27.…”

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confidence: 99%

Concurrent profiling of polar metabolites and lipids in human plasma using HILIC-FTMS

Cai

2016

Sci Rep

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Blood plasma is the most popularly used sample matrix for metabolite profiling studies, which aim to achieve global metabolite profiling and biomarker discovery. However, most of the current studies on plasma metabolite profiling focused on either the polar metabolites or lipids. In this study, a comprehensive analysis approach based on HILIC-FTMS was developed to concurrently examine polar metabolites and lipids. The HILIC-FTMS method was developed using mixed standards of polar metabolites and lipids, the separation efficiency of which is better in HILIC mode than in C5 and C18 reversed phase (RP) chromatography. This method exhibits good reproducibility in retention times (CVs < 3.43%) and high mass accuracy (<3.5 ppm). In addition, we found MeOH/ACN/Acetone (1:1:1, v/v/v) as extraction cocktail could achieve desirable gathering of demanded extracts from plasma samples. We further integrated the MeOH/ACN/Acetone extraction with the HILIC-FTMS method for metabolite profiling and smoking-related biomarker discovery in human plasma samples. Heavy smokers could be successfully distinguished from non smokers by univariate and multivariate statistical analysis of the profiling data, and 62 biomarkers for cigarette smoke were found. These results indicate that our concurrent analysis approach could be potentially used for clinical biomarker discovery, metabolite-based diagnosis, etc.

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Plasma Amino Acid Profiling in Major Depressive Disorder Treated With Selective Serotonin Reuptake Inhibitors

Abstract: Metabolism of amino acids, including ABA and glutamic acid, has the potential to contribute to understandings of pathogenesis and predictions of therapeutic response in MDD.

Cited by 49 publications

References 58 publications

Short overview on metabolomic approach and redox changes in psychiatric disorders

Short overview on metabolomic approach and redox changes in psychiatric disorders

Evaluation of Metal Oxide Surface Catalysts for the Electrochemical Activation of Amino Acids

Concurrent profiling of polar metabolites and lipids in human plasma using HILIC-FTMS

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