Literature DB >> 24145423

Human genome-guided identification of memory-modulating drugs.

Andreas Papassotiropoulos1, Christiane Gerhards, Angela Heck, Sandra Ackermann, Amanda Aerni, Nathalie Schicktanz, Bianca Auschra, Philippe Demougin, Eva Mumme, Thomas Elbert, Verena Ertl, Leo Gschwind, Edveena Hanser, Kim-Dung Huynh, Frank Jessen, Iris-Tatjana Kolassa, Annette Milnik, Paolo Paganetti, Klara Spalek, Christian Vogler, Andreas Muhs, Andrea Pfeifer, Dominique J-F de Quervain.   

Abstract

In the last decade there has been an exponential increase in knowledge about the genetic basis of complex human traits, including neuropsychiatric disorders. It is not clear, however, to what extent this knowledge can be used as a starting point for drug identification, one of the central hopes of the human genome project. The aim of the present study was to identify memory-modulating compounds through the use of human genetic information. We performed a multinational collaborative study, which included assessment of aversive memory--a trait central to posttraumatic stress disorder--and a gene-set analysis in healthy individuals. We identified 20 potential drug target genes in two genomewide-corrected gene sets: the neuroactive ligand-receptor interaction and the long-term depression gene set. In a subsequent double-blind, placebo-controlled study in healthy volunteers, we aimed at providing a proof of concept for the genome-guided identification of memory modulating compounds. Pharmacological intervention at the neuroactive ligand-receptor interaction gene set led to significant reduction of aversive memory. The findings demonstrate that genome information, along with appropriate data mining methodology, can be used as a starting point for the identification of memory-modulating compounds.

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Keywords:  PTSD; emotional memory; pharmacology

Mesh:

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Year:  2013        PMID: 24145423      PMCID: PMC3831994          DOI: 10.1073/pnas.1314478110

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  37 in total

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Review 2.  Analysing biological pathways in genome-wide association studies.

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3.  Gene ontology analysis of GWA study data sets provides insights into the biology of bipolar disorder.

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4.  Initial and steady-state effects of diphenhydramine and loratadine on sedation, cognition, mood, and psychomotor performance.

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Journal:  Arch Intern Med       Date:  1997-11-10

5.  Molecular pathways involved in neuronal cell adhesion and membrane scaffolding contribute to schizophrenia and bipolar disorder susceptibility.

Authors:  C O'Dushlaine; E Kenny; E Heron; G Donohoe; M Gill; D Morris; A Corvin
Journal:  Mol Psychiatry       Date:  2010-02-16       Impact factor: 15.992

6.  GSA-SNP: a general approach for gene set analysis of polymorphisms.

Authors:  Dougu Nam; Jin Kim; Seon-Young Kim; Sangsoo Kim
Journal:  Nucleic Acids Res       Date:  2010-05-25       Impact factor: 16.971

7.  PKCα is genetically linked to memory capacity in healthy subjects and to risk for posttraumatic stress disorder in genocide survivors.

Authors:  Dominique J-F de Quervain; Iris-Tatjana Kolassa; Sandra Ackermann; Amanda Aerni; Peter Boesiger; Philippe Demougin; Thomas Elbert; Verena Ertl; Leo Gschwind; Nils Hadziselimovic; Edveena Hanser; Angela Heck; Petra Hieber; Kim-Dung Huynh; Markus Klarhöfer; Roger Luechinger; Björn Rasch; Klaus Scheffler; Klara Spalek; Christoph Stippich; Christian Vogler; Vanja Vukojevic; Attila Stetak; Andreas Papassotiropoulos
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-14       Impact factor: 11.205

Review 8.  Genomewide association studies: history, rationale, and prospects for psychiatric disorders.

Authors:  Sven Cichon; Nick Craddock; Mark Daly; Stephen V Faraone; Pablo V Gejman; John Kelsoe; Thomas Lehner; Douglas F Levinson; Audra Moran; Pamela Sklar; Patrick F Sullivan
Journal:  Am J Psychiatry       Date:  2009-04-01       Impact factor: 18.112

9.  Investigating the contribution of common genetic variants to the risk and pathogenesis of ADHD.

Authors:  Evangelia Stergiakouli; Marian Hamshere; Peter Holmans; Kate Langley; Irina Zaharieva; Ziarah Hawi; Lindsey Kent; Michael Gill; Nigel Williams; Michael J Owen; Michael O'Donovan; Anita Thapar
Journal:  Am J Psychiatry       Date:  2012-02       Impact factor: 18.112

10.  Performance Comparison of Two Gene Set Analysis Methods for Genome-wide Association Study Results: GSA-SNP vs i-GSEA4GWAS.

Authors:  Ji-Sun Kwon; Jihye Kim; Dougu Nam; Sangsoo Kim
Journal:  Genomics Inform       Date:  2012-06-30
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  9 in total

Review 1.  The neuroimmune transcriptome and alcohol dependence: potential for targeted therapies.

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Journal:  Pharmacogenomics       Date:  2016-12-05       Impact factor: 2.533

Review 2.  From gene networks to drugs: systems pharmacology approaches for AUD.

Authors:  Laura B Ferguson; R Adron Harris; Roy Dayne Mayfield
Journal:  Psychopharmacology (Berl)       Date:  2018-03-01       Impact factor: 4.530

3.  A network pharmacology study with molecular docking to investigate the possibility of licorice against posttraumatic stress disorder.

Authors:  Zhi-Kun Qiu; Zhi-Ting Liu; Jia-Li Pang; Han-Biao Wu; Xu Liu; Ze-Min Yang; Xiong Li; Ji-Sheng Chen
Journal:  Metab Brain Dis       Date:  2021-08-21       Impact factor: 3.584

4.  Computational dissection of human episodic memory reveals mental process-specific genetic profiles.

Authors:  Gediminas Luksys; Matthias Fastenrath; David Coynel; Virginie Freytag; Leo Gschwind; Angela Heck; Frank Jessen; Wolfgang Maier; Annette Milnik; Steffi G Riedel-Heller; Martin Scherer; Klara Spalek; Christian Vogler; Michael Wagner; Steffen Wolfsgruber; Andreas Papassotiropoulos; Dominique J-F de Quervain
Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-10       Impact factor: 11.205

5.  Systems Genetics Analysis of Genome-Wide Association Study Reveals Novel Associations Between Key Biological Processes and Coronary Artery Disease.

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Journal:  Arterioscler Thromb Vasc Biol       Date:  2015-05-14       Impact factor: 8.311

6.  FASTKD2 is associated with memory and hippocampal structure in older adults.

Authors:  V K Ramanan; K Nho; L Shen; S L Risacher; S Kim; B C McDonald; M R Farlow; T M Foroud; S Gao; H Soininen; I Kłoszewska; P Mecocci; M Tsolaki; B Vellas; S Lovestone; P S Aisen; R C Petersen; C R Jack; L M Shaw; J Q Trojanowski; M W Weiner; R C Green; A W Toga; P L De Jager; L Yu; D A Bennett; A J Saykin
Journal:  Mol Psychiatry       Date:  2014-11-11       Impact factor: 15.992

7.  Integrated genetic, epigenetic, and gene set enrichment analyses identify NOTCH as a potential mediator for PTSD risk after trauma: Results from two independent African cohorts.

Authors:  Daniela Conrad; Sarah Wilker; Anna Schneider; Alexander Karabatsiakis; Anett Pfeiffer; Stephan Kolassa; Virginie Freytag; Vanja Vukojevic; Christian Vogler; Annette Milnik; Andreas Papassotiropoulos; Dominique J-F de Quervain; Thomas Elbert; Iris-Tatjana Kolassa
Journal:  Psychophysiology       Date:  2018-10-17       Impact factor: 4.016

8.  Episodic-Memory Performance in Machine Learning Modeling for Predicting Cognitive Health Status Classification.

Authors:  Michael F Bergeron; Sara Landset; Franck Tarpin-Bernard; Curtis B Ashford; Taghi M Khoshgoftaar; J Wesson Ashford
Journal:  J Alzheimers Dis       Date:  2019       Impact factor: 4.472

9.  Computational causal discovery for post-traumatic stress in police officers.

Authors:  Glenn N Saxe; Sisi Ma; Leah J Morales; Isaac R Galatzer-Levy; Constantin Aliferis; Charles R Marmar
Journal:  Transl Psychiatry       Date:  2020-08-11       Impact factor: 6.222

  9 in total

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