Gene expression associated with suicide attempts in US veterans

Translational Psychiatry

Volumn 7, Issue 9, 2017, Pages

  Flory, J D ^a,b   Donohue, D ^c   Muhie, S ^c   Yang, R ^d   Miller, S A ^c   Hammamieh, R ^e   Ryberg, K ^a   Yehuda, R ^a,b  

^a VETERANS AFFAIRS MEDICAL CENTER   (United States)

^b MOUNT SINAI SCHOOL OF MEDICINE   (United States)

^c Geneva Foundation   (United States)

^d FREDERICK NATIONAL LABORATORY FOR CANCER RESEARCH   (United States)

^e U S ARMY MEDICAL RESEARCH AND MATERIEL COMMAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

KETAMINE; LITHIUM;

ADULT; ARTICLE; BLOOD SAMPLING; CLINICAL ARTICLE; CONTROLLED STUDY; FEMALE; GENE EXPRESSION; HUMAN; INTERVIEW; MALE; MEDICAL HISTORY; MENTAL PATIENT; MICROARRAY ANALYSIS; MIDDLE AGED; MTOR SIGNALING; SUICIDE ATTEMPT; UNITED STATES; VETERAN; WNT SIGNALING; BLOOD; DRUG DEPENDENCE; PHYSIOLOGY; POSTTRAUMATIC STRESS DISORDER; SIGNAL TRANSDUCTION;

ADULT; FEMALE; GENE EXPRESSION; HUMANS; MALE; MIDDLE AGED; SIGNAL TRANSDUCTION; STRESS DISORDERS, POST-TRAUMATIC; SUBSTANCE-RELATED DISORDERS; SUICIDE, ATTEMPTED; UNITED STATES; VETERANS;

EID: 85028877330     PISSN: None     EISSN: 21583188     Source Type: Journal    
DOI: 10.1038/tp.2017.179     Document Type: Article

References (37)

1. Prevention USDoVAOoS (2016). Suicide among veterans and other Americans. Available at http://www.mentalhealth.va.gov/docs/2016suicidedatareport.
2. Turecki G. The molecular bases of the suicidal brain. Nat Rev Neurosci 2014; 15: 802-816.
3. Le-Niculescu H, Levey DF, Ayalew M, Palmer L, Gavrin LM, Jain N et al. Discovery and validation of blood biomarkers for suicidality. Mol Psychiatry 2013; 18: 1249-1264.
4. Levey DF, Niculescu EM, Le-Niculescu H, Dainton HL, Phalen PL, Ladd TB et al. Towards understanding and predicting suicidality in women: biomarkers and clinical risk assessment. Mol Psychiatry 2016; 21: 768-785.
5. Niculescu AB, Levey DF, Phalen PL, Le-Niculescu H, Dainton HD, Jain N et al. Understanding and predicting suicidality using a combined genomic and clinical risk assessment approach. Mol Psychiatry 2015; 20: 1266-1285.
6. Mullins N, Hodgson K, Tansey KE, Perroud N, Maier W, Mors O et al. Investigation of blood mRNA biomarkers for suicidality in an independent sample. Transl Psychiatry 2014; 4: e474.
7. Kemp J, Bossarte RM. Surveillance of suicide and suicide attempts among veterans: addressing a national imperative. Am J Public Health 2012; 102(Suppl 1): e4-e5.
8. Nock MK, Stein MB, Heeringa SG, Ursano RJ, Colpe LJ, Fullerton CS et al. Prevalence and correlates of suicidal behavior among soldiers: results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS). JAMA Psychiatry 2014; 71: 514-522.
9. LeardMann CA, Powell TM, Smith TC, Bell MR, Smith B, Boyko EJ et al. Risk factors associated with suicide in current and former US military personnel. JAMA 2013; 310: 496-506.
10. Mann JJ, Waternaux C, Haas GL, Malone KM. Toward a clinical model of suicidal behavior in psychiatric patients. Am J Psychiatry 1999; 156: 181-189.
11. Sheehan DV, Lecrubier Y, Harnett-Sheehan K, Amorim P, Janavs J, Weiller E et al. The M.I.N.I. International Neuropsychiatric Interview (M.I.N.I.). The development and validation of a structured diagnostic psychiatric interview. J Clin Psychiatry 1998; 59(suppl 20): 22-33.
12. Beck AT, Kovacs M, Weissman A. Assessment of suicidal intention: the scale for suicide ideation. J Consult Clin Psychol 1974; 47: 343-352.
13. Oquendo MA, Halberstam B, Mann JJ. Risk factors for suicidal behavior: utility and limitations of research instruments. In: First M (ed). Standardized Evaluation in Clinical Practice. American Psychiatric Press: Washington, DC, USA, 2003, 103-130.
14. Beck AT, Schuyler D, Herman I. Development of suicidal intent scales. In: Beck AT, Resnik HLP, Lettieri DJ (eds). The Prediction of Suicide. Charles Press: Bowie, MD, USA, 1974, 45-56.
15. Bernstein DP, Fink L. Childhood Trauma Questionnaire: a Retrospective Report Manual. The Psychological Corporation: San Antonio, TX, USA, 1998.
16. Smyth GK, Speed T. Normalization of cDNA microarray data. Methods 2003; 31: 265-273.
17. Hackstadt AJ, Hess AM. Filtering for increased power for microarray data analysis. BMC Bioinformatics 2009; 10: 11.
18. Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S et al. Bioconductor: open software development for computational biology and bioinformatics. Genome Biol 2004; 5: R80.
19. Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res 2003; 13: 2498-2504.
20. Xia J, Gill EE, Hancock RE. Network Analyst for statistical, visual and network-based meta-analysis of gene expression data. Nat Protoc 2015; 10: 823-844.
21. Kanehisa M, Sato Y, Kawashima M, Furumichi M, Tanabe M. KEGG as a reference resource for gene and protein annotation. Nucleic Acids Res 2016; 44: D457-D462.
22. Kelder T, van Iersel MP, Hanspers K, Kutmon M, Conklin BR, Evelo CT et al. Wiki-Pathways: building research communities on biological pathways. Nucleic Acids Res 2012; 40(Database issue) D1301-D1307.
23. Milacic M, Haw R, Rothfels K, Wu G, Croft D, Hermjakob H et al. Annotating cancer variants and anti-cancer therapeutics in reactome. Cancers 2012; 4: 1180-1211.
24. Kim S, Choi KH, Baykiz AF, Gershenfeld HK. Suicide candidate genes associated with bipolar disorder and schizophrenia: an exploratory gene expression profiling analysis of post-mortem prefrontal cortex. BMC Genomics 2007; 8: 413.
25. Menke A, Domschke K, Czamara D, Klengel T, Hennings J, Lucae S et al. Genomewide association study of antidepressant treatment-emergent suicidal ideation. Neuropsychopharmacology 2012; 37: 797-807.
26. Hinnebusch AG, Lorsch JR. The mechanism of eukaryotic translation initiation: new insights and challenges. Cold Spring Harb Perspect Biol 2012; 4.
27. Chu TT, Liu Y, Kemether E. Thalamic transcriptome screening in three psychiatric states. J Hum Genet 2009; 54: 665-675.
28. Graber TE, McCamphill PK, Sossin WS. A recollection of mTOR signaling in learning and memory. Learn Memory 2013; 20: 518-530.
29. Lee DY. Roles of mTOR signaling in brain development. Exp Neurobiol 2015; 24: 177-185.
30. Jernigan CS, Goswami DB, Austin MC, Iyo AH, Chandran A, Stockmeier CA et al. The mTOR signaling pathway in the prefrontal cortex is compromised in major depressive disorder. Progr Neuropsychopharmacol Biol Psychiatry 2011; 35: 1774-1779.
31. Naughton M, Clarke G, O'Leary OF, Cryan JF, Dinan TG. A review of ketamine in affective disorders: current evidence of clinical efficacy, limitations of use and preclinical evidence on proposed mechanisms of action. J Affect Disord 2014; 156: 24-35.
32. Li N, Lee B, Liu RJ, Banasr M, Dwyer JM, Iwata M et al. mTOR-dependent synapse formation underlies the rapid antidepressant effects of NMDA antagonists. Science 2010; 329: 959-964.
33. Meffre D, Grenier J, Bernard S, Courtin F, Dudev T, Shackleford G et al. Wnt and lithium: a common destiny in the therapy of nervous system pathologies? Cell Mol Life Sci 2014; 71: 1123-1148.
34. Ren X, Rizavi HS, Khan MA, Dwivedi Y, Pandey GN. Altered Wnt signalling in the teenage suicide brain: focus on glycogen synthase kinase-3beta and beta-catenin. Int J Neuropsychopharmacol 2013; 16: 945-955.
35. Karege F, Perroud N, Burkhardt S, Fernandez R, Ballmann E, La Harpe R et al. Protein levels of beta-catenin and activation state of glycogen synthase kinase-3beta in major depression. A study with postmortem prefrontal cortex. J Affect Disord 2012; 136: 185-188.
36. Willour VL, Seifuddin F, Mahon PB, Jancic D, Pirooznia M, Steele J et al. A genomewide association study of attempted suicide. Mol Psychiatry 2012; 17: 433-444.
37. Lewitzka U, Severus E, Bauer R, Ritter P, Muller-Oerlinghausen B, Bauer M. The suicide prevention effect of lithium: more than 20 years of evidence-a narrative review. Int J Bipolar Disord 2015; 3: 32.