Literature DB >> 21107318

Glycine and a glycine dehydrogenase (GLDC) SNP as citalopram/escitalopram response biomarkers in depression: pharmacometabolomics-informed pharmacogenomics.

Y Ji1, S Hebbring, H Zhu, G D Jenkins, J Biernacka, K Snyder, M Drews, O Fiehn, Z Zeng, D Schaid, D A Mrazek, R Kaddurah-Daouk, R M Weinshilboum.   

Abstract

Major depressive disorder (MDD) is a common psychiatric disease. Selective serotonin reuptake inhibitors (SSRIs) are an important class of drugs used in the treatment of MDD. However, many patients do not respond adequately to SSRI therapy. We used a pharmacometabolomics-informed pharmacogenomic research strategy to identify citalopram/escitalopram treatment outcome biomarkers. Metabolomic assay of plasma samples from 20 escitalopram remitters and 20 nonremitters showed that glycine was negatively associated with treatment outcome (P = 0.0054). This observation was pursued by genotyping tag single-nucleotide polymorphisms (SNPs) for genes encoding glycine synthesis and degradation enzymes, using 529 DNA samples from SSRI-treated MDD patients. The rs10975641 SNP in the glycine dehydrogenase (GLDC) gene was associated with treatment outcome phenotypes. Genotyping for rs10975641 was carried out in 1,245 MDD patients in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study, and its presence was significant (P = 0.02) in DNA taken from these patients. These results highlight a possible role for glycine in SSRI response and illustrate the use of pharmacometabolomics to "inform" pharmacogenomics.

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Year:  2010        PMID: 21107318      PMCID: PMC3034442          DOI: 10.1038/clpt.2010.250

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  36 in total

Review 1.  Metabolomics: a global biochemical approach to the study of central nervous system diseases.

Authors:  Rima Kaddurah-Daouk; K Ranga Rama Krishnan
Journal:  Neuropsychopharmacology       Date:  2008-10-08       Impact factor: 7.853

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

Authors:  Holly A Garriock; Jeffrey B Kraft; Stanley I Shyn; Eric J Peters; Jennifer S Yokoyama; Gregory D Jenkins; Megan S Reinalda; Susan L Slager; Patrick J McGrath; Steven P Hamilton
Journal:  Biol Psychiatry       Date:  2010-01-15       Impact factor: 13.382

3.  Genome-wide pharmacogenetics of antidepressant response in the GENDEP project.

Authors:  Rudolf Uher; Nader Perroud; Mandy Y M Ng; Joanna Hauser; Neven Henigsberg; Wolfgang Maier; Ole Mors; Anna Placentino; Marcella Rietschel; Daniel Souery; Tina Zagar; Piotr M Czerski; Borut Jerman; Erik Roj Larsen; Thomas G Schulze; Astrid Zobel; Sarah Cohen-Woods; Katrina Pirlo; Amy W Butler; Pierandrea Muglia; Michael R Barnes; Mark Lathrop; Anne Farmer; Gerome Breen; Katherine J Aitchison; Ian Craig; Cathryn M Lewis; Peter McGuffin
Journal:  Am J Psychiatry       Date:  2010-04-01       Impact factor: 18.112

4.  A genomewide association study points to multiple loci that predict antidepressant drug treatment outcome in depression.

Authors:  Marcus Ising; Susanne Lucae; Elisabeth B Binder; Thomas Bettecken; Manfred Uhr; Stephan Ripke; Martin A Kohli; Johannes M Hennings; Sonja Horstmann; Stefan Kloiber; Andreas Menke; Brigitta Bondy; Rainer Rupprecht; Katharina Domschke; Bernhard T Baune; Volker Arolt; A John Rush; Florian Holsboer; Bertram Müller-Myhsok
Journal:  Arch Gen Psychiatry       Date:  2009-09

Review 5.  Review and meta-analysis of antidepressant pharmacogenetic findings in major depressive disorder.

Authors:  M Kato; A Serretti
Journal:  Mol Psychiatry       Date:  2008-11-04       Impact factor: 15.992

6.  Opioid use affects antioxidant activity and purine metabolism: preliminary results.

Authors:  Paolo Mannelli; Ashwin Patkar; Steve Rozen; Wayne Matson; Ranga Krishnan; Rima Kaddurah-Daouk
Journal:  Hum Psychopharmacol       Date:  2009-12       Impact factor: 1.672

7.  SLC6A4 variation and citalopram response.

Authors:  D A Mrazek; A J Rush; J M Biernacka; D J O'Kane; J M Cunningham; E D Wieben; D J Schaid; M S Drews; V L Courson; K A Snyder; J L Black; R M Weinshilboum
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2009-04-05       Impact factor: 3.568

8.  Alterations in tryptophan and purine metabolism in cocaine addiction: a metabolomic study.

Authors:  Ashwin A Patkar; Steve Rozen; Paolo Mannelli; Wayne Matson; Chi-Un Pae; K Ranga Krishnan; Rima Kaddurah-Daouk
Journal:  Psychopharmacology (Berl)       Date:  2009-08-01       Impact factor: 4.530

Review 9.  Metabolomics tools for identifying biomarkers for neuropsychiatric diseases.

Authors:  Marlon P Quinones; Rima Kaddurah-Daouk
Journal:  Neurobiol Dis       Date:  2009-03-19       Impact factor: 5.996

Review 10.  Glycine cleavage system: reaction mechanism, physiological significance, and hyperglycinemia.

Authors:  Goro Kikuchi; Yutaro Motokawa; Tadashi Yoshida; Koichi Hiraga
Journal:  Proc Jpn Acad Ser B Phys Biol Sci       Date:  2008       Impact factor: 3.493

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  68 in total

Review 1.  Metabolomic Signatures for Drug Response Phenotypes: Pharmacometabolomics Enables Precision Medicine.

Authors:  R Kaddurah-Daouk; R Weinshilboum
Journal:  Clin Pharmacol Ther       Date:  2015-06-04       Impact factor: 6.875

2.  LINE-1 and EPAS1 DNA methylation associations with high-altitude exposure.

Authors:  Ainash Childebayeva; Tamara R Jones; Jaclyn M Goodrich; Fabiola Leon-Velarde; Maria Rivera-Chira; Melisa Kiyamu; Tom D Brutsaert; Dana C Dolinoy; Abigail W Bigham
Journal:  Epigenetics       Date:  2019-01-09       Impact factor: 4.528

3.  Systems genetics analysis of pharmacogenomics variation during antidepressant treatment.

Authors:  M B Madsen; L J A Kogelman; H N Kadarmideen; H B Rasmussen
Journal:  Pharmacogenomics J       Date:  2016-10-18       Impact factor: 3.550

4.  A pilot study of plasma metabolomic patterns from patients treated with ketamine for bipolar depression: evidence for a response-related difference in mitochondrial networks.

Authors:  A Villaseñor; A Ramamoorthy; M Silva dos Santos; M P Lorenzo; G Laje; C Zarate; C Barbas; I W Wainer
Journal:  Br J Pharmacol       Date:  2014-04       Impact factor: 8.739

Review 5.  Peripheral biomarkers of major depression and antidepressant treatment response: Current knowledge and future outlooks.

Authors:  Bharathi S Gadad; Manish K Jha; Andrew Czysz; Jennifer L Furman; Taryn L Mayes; Michael P Emslie; Madhukar H Trivedi
Journal:  J Affect Disord       Date:  2017-07-05       Impact factor: 4.839

6.  FKBP5 genetic variation: association with selective serotonin reuptake inhibitor treatment outcomes in major depressive disorder.

Authors:  Katarzyna A Ellsworth; Irene Moon; Bruce W Eckloff; Brooke L Fridley; Gregory D Jenkins; Anthony Batzler; Joanna M Biernacka; Ryan Abo; Abra Brisbin; Yuan Ji; Scott Hebbring; Eric D Wieben; David A Mrazek; Richard M Weinshilboum; Liewei Wang
Journal:  Pharmacogenet Genomics       Date:  2013-03       Impact factor: 2.089

7.  Citalopram and escitalopram plasma drug and metabolite concentrations: genome-wide associations.

Authors:  Yuan Ji; Daniel J Schaid; Zeruesenay Desta; Michiaki Kubo; Anthony J Batzler; Karen Snyder; Taisei Mushiroda; Naoyuki Kamatani; Evan Ogburn; Daniel Hall-Flavin; David Flockhart; Yusuke Nakamura; David A Mrazek; Richard M Weinshilboum
Journal:  Br J Clin Pharmacol       Date:  2014-08       Impact factor: 4.335

8.  Targeted and global pharmacometabolomics in everolimus-based immunosuppression: association of co-medication and lysophosphatidylcholines with dose requirement.

Authors:  Dorothea Lesche; Vilborg Sigurdardottir; Alexander B Leichtle; Christos T Nakas; Uwe Christians; Lars Englberger; Martin Fiedler; Carlo R Largiadèr; Paul Mohacsi; Johanna Sistonen
Journal:  Metabolomics       Date:  2017-11-25       Impact factor: 4.290

9.  Metabolomics: beyond biomarkers and towards mechanisms.

Authors:  Caroline H Johnson; Julijana Ivanisevic; Gary Siuzdak
Journal:  Nat Rev Mol Cell Biol       Date:  2016-03-16       Impact factor: 94.444

10.  D-serine plasma concentration is a potential biomarker of (R,S)-ketamine antidepressant response in subjects with treatment-resistant depression.

Authors:  Ruin Moaddel; David A Luckenbaugh; Ying Xie; Alma Villaseñor; Nancy E Brutsche; Rodrigo Machado-Vieira; Anuradha Ramamoorthy; Maria Paz Lorenzo; Antonia Garcia; Michel Bernier; Marc C Torjman; Coral Barbas; Carlos A Zarate; Irving W Wainer
Journal:  Psychopharmacology (Berl)       Date:  2014-07-24       Impact factor: 4.530

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