35
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      TSPAN5, ERICH3 and Selective Serotonin Reuptake Inhibitors in Major Depressive Disorder: Pharmacometabolomics-informed Pharmacogenomics

      research-article

      Read this article at

      ScienceOpenPublisherPMC
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Millions of patients suffer from Major Depressive Disorder (MDD), but many do not respond to selective serotonin reuptake inhibitor (SSRI) therapy. We used a pharmacometabolomics-informed pharmacogenomics research strategy to identify genes associated with metabolites that were related to SSRI response. Specifically, 306 MDD patients were treated with citalopram or escitalopram and blood was drawn at baseline, four and eight weeks for blood drug levels, genome-wide single nucleotide polymorphism (SNP) genotyping and metabolomic analyses. SSRI treatment decreased plasma serotonin concentrations (p<0.0001). Baseline and plasma serotonin concentration changes were associated with clinical outcomes (p<0.05). Therefore, baseline and serotonin concentration changes were used as phenotypes for genome wide association studies (GWAS). GWAS for baseline plasma serotonin concentrations revealed a genome-wide significant (p=7.84E-09) SNP clusters on chromosome four 5’ of TSPAN5 and a cluster across ERICH3 on chromosome one (p=9.28E-08) that were also observed during GWAS for change in serotonin at four (p=5.6E-08 and p=7.54E-07, respectively) and eight weeks (p=1.25E-06 and p=3.99E-07, respectively). The SNPs on chromosome four were eQTLs for TSPAN5. Knockdown (KD) and over expression (OE) of TSPAN5 in a neuroblastoma cell line significantly altered expression of serotonin pathway genes ( TPH1, TPH2, DDC and MAOA). Chromosome one SNPs included two ERICH3 nonsynonymous SNPs that resulted in accelerated proteasome-mediated degradation. In addition, ERICH3 and TSPAN5 KD and OE altered media serotonin concentrations. Application of a pharmacometabolomics-informed pharmacogenomic research strategy, followed by functional validation, indicated that TSPAN5 and ERICH3 are associated with plasma serotonin concentrations and may play a role in SSRI treatment outcomes.

          Related collections

          Most cited references58

          • Record: found
          • Abstract: found
          • Article: not found

          Prevalence of mental disorders in Europe: results from the European Study of the Epidemiology of Mental Disorders (ESEMeD) project.

          To describe the 12-month and lifetime prevalence rates of mood, anxiety and alcohol disorders in six European countries. A representative random sample of non-institutionalized inhabitants from Belgium, France, Germany, Italy, the Netherlands and Spain aged 18 or older (n = 21425) were interviewed between January 2001 and August 2003. DSM-IV disorders were assessed by lay interviewers using a revised version of the Composite International Diagnostic Interview (WMH-CIDI). Fourteen per cent reported a lifetime history of any mood disorder, 13.6% any anxiety disorder and 5.2% a lifetime history of any alcohol disorder. More than 6% reported any anxiety disorder, 4.2% any mood disorder, and 1.0% any alcohol disorder in the last year. Major depression and specific phobia were the most common single mental disorders. Women were twice as likely to suffer 12-month mood and anxiety disorders as men, while men were more likely to suffer alcohol abuse disorders. ESEMeD is the first study to highlight the magnitude of mental disorders in the six European countries studied. Mental disorders were frequent, more common in female, unemployed, disabled persons, or persons who were never married or previously married. Younger persons were also more likely to have mental disorders, indicating an early age of onset for mood, anxiety and alcohol disorders.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Genetic epidemiology of major depression: review and meta-analysis.

            The authors conducted a meta-analysis of relevant data from primary studies of the genetic epidemiology of major depression. The authors searched MEDLINE and the reference lists of previous review articles to identify relevant primary studies. On the basis of a review of family, adoption, and twin studies that met specific inclusion criteria, the authors derived quantitative summary statistics. Five family studies met the inclusion criteria. The odds ratios for proband (subjects with major depression or comparison subjects) versus first-degree relative status (affected or unaffected with major depression) were homogeneous across the five studies (Mantel-Haenszel odds ratio=2.84, 95% CI=2.31-3.49). No adoption study met the inclusion criteria, but the results of two of the three reports were consistent with genetic influences on liability to major depression. Five twin studies met the inclusion criteria, and their statistical summation suggested that familial aggregation was due to additive genetic effects (point estimate of heritability of liability=37%, 95% CI=31%-42%), with a minimal contribution of environmental effects common to siblings (point estimate=0%, 95% CI=0%-5%), and substantial individual-specific environmental effects/measurement error (point estimate=63%, 95% CI=58%-67%). The literature suggests that recurrence best predicts the familial aggregation of major depression. Major depression is a familial disorder, and its familiality mostly or entirely results from genetic influences. Environmental influences specific to an individual are also etiologically significant. Major depression is a complex disorder that does not result from either genetic or environmental influences alone but rather from both. These findings are notably consistent across samples and methods and are likely to be generally applicable.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              A genomewide association study of citalopram response in major depressive disorder.

              Antidepressant response is likely influenced by genetic constitution, but the actual genes involved have yet to be determined. We have carried out a genomewide association study to determine whether common DNA variation influences antidepressant response. Our sample is derived from Level 1 participants in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study, all treated with citalopram. Association for the response phenotype included 883 responders and 608 nonresponders. For the remission phenotype, 743 subjects that achieved remission were compared with 608 nonresponders. We used a subset of single nucleotide polymorphisms (SNPs; n = 430,198) from the Affymetrix 500K and 5.0 Human SNP Arrays, and association analysis was carried out after correcting for population stratification. We identified three SNPs associated with response with p values less than 1 x 10(-5) near the UBE3C gene (rs6966038, p = 4.65 x 10(-7)), another 100 kb away from BMP7 (rs6127921, p = 3.45 x 10(-6)), and a third that is intronic in the RORA gene (rs809736, p = 8.19 x 10(-6)). These same SNPs were also associated with remission. Thirty-nine additional SNPs are of interest with p values < or = .0001 for the response and remission phenotypes. Although the findings reported here do not meet a genomewide threshold for significance, the regions identified from this study provide targets for independent replication and novel pathways to investigate mechanisms of antidepressant response. This study was not placebo controlled, making it possible that we are also observing associations to nonspecific aspects of drug treatment of depression.
                Bookmark

                Author and article information

                Journal
                9607835
                20545
                Mol Psychiatry
                Mol. Psychiatry
                Molecular psychiatry
                1359-4184
                1476-5578
                12 January 2016
                23 February 2016
                December 2016
                17 November 2016
                : 21
                : 12
                : 1717-1725
                Affiliations
                [1 ]Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN
                [2 ]Department of Biomedical Statistics and Bioinformatics – Genetics and Bioinformatics, Mayo Clinic, Rochester, MN
                [3 ]Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN
                [4 ]Bedford VA Medical Center, Bedford, MA
                [5 ]Department of Psychiatry and Behavioral Medicine, Duke Institute for Brain Sciences, Duke University, Durham, NC
                [6 ]RIKEN Center for Genomic Medicine, Yokohama, Japan
                [7 ]University of Chicago, IL
                Author notes
                [± ] Correspondence Dr. Richard M. Weinshilboum MD, Division of Clinical Pharmacology, Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA. Tel.: +1 507 284 2246, Fax: +1 507 284 4455, weinshilboum.richard@ 123456mayo.edu
                Article
                NIHMS750459
                10.1038/mp.2016.6
                5003027
                26903268
                dbe48a31-a8df-4e4a-b21f-3d296c810c8e

                Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms

                History
                Categories
                Article

                Molecular medicine
                pharmacometabolomics,pharmacogenomics,selective serotonin reuptake inhibitors,erich3,tspan5,major depressive disorder

                Comments

                Comment on this article