Possible Modulatory Role of ARC Gene Variants in Mood Disorders
1
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Objective: The genetic background of mood disorders is gradually emerging through the use of large multicenter samples but a detailed phenotyping is complementary in elucidating the role of modulating variants. Methods: In the present paper we focused on the possible modulatory effects of ARC gene variants on two independent mood disorder samples of European (n = 246 bipolar disorder) and Korean (n = 132 bipolar disorder; n = 242 major depressive disorder [MDD]) ancestry. Results: No result survived Bonferroni correction, however we evidenced promising trend toward possible association between ARC gene variants and mood disorder phenotypes. In particular, we evidenced weak correlations of ARC single nucleotide polymorphisms with depressive symptoms severity (evaluated through Hamilton depression rating scale scores) in the MDD Korean (rs7465272) and European (rs11167152) samples. Additionally rs10110456 was found to be related to Family History, while rs7465272 was related to suicide risk in the Korean sample. Finally, rs7465272 was associated with body mass index in the European sample. Conclusion: Overall, ARC gene variants may have a partial role in modulatory effect on treatment efficacy or phenotypes of mood disorders. Further studies, on larger samples may provide a better understanding on the role of ARC gene variants in the symptom severity and treatment outcomes in patients with mood disorders.
Abstract
Objective: The genetic background of mood disorders is gradually emerging through the use of large multicenter samples but a detailed phenotyping is complementary in elucidating the role of modulating variants. Methods: In the present paper we focused on the possible modulatory effects of ARC gene variants on two independent mood disorder samples of European (n = 246 bipolar disorder) and Korean (n = 132 bipolar disorder; n = 242 major depressive disorder [MDD]) ancestry. Results: No result survived Bonferroni correction, however we evidenced promising trend toward possible association between ARC gene variants and mood disorder phenotypes. In particular, we evidenced weak correlations of ARC single nucleotide polymorphisms with depressive symptoms severity (evaluated through Hamilton depression rating scale scores) in the MDD Korean (rs7465272) and European (rs11167152) samples. Additionally rs10110456 was found to be related to Family History, while rs7465272 was related to suicide risk in the Korean sample. Finally, rs7465272 was associated with body mass index in the European sample. Conclusion: Overall, ARC gene variants may have a partial role in modulatory effect on treatment efficacy or phenotypes of mood disorders. Further studies, on larger samples may provide a better understanding on the role of ARC gene variants in the symptom severity and treatment outcomes in patients with mood disorders.
참고문헌 (28)
- Kessler RC, "The global burden of mental disorders : an update from the WHO World Mental Health(WMH)surveys", Epidemiol Psichiatr Soc, 18, pp.23~33 (2009)
- Henter ID, "Mood therapeutics : novel pharmacological approaches for treating depression", Expert Rev Clin Pharmacol, 10, pp.153~166 (2017)
- Serretti A, "Genetics and pharmacogenetics of mood disorders", Psychiatr Pol, 51, pp.197~203 (2017)
- Mullins N, "Genetics of depression : progress at last", Curr Psychiatry Rep, 19, pp.43~ (2017)
- Pettersson E, "Genetic influences on eight psychiatric disorders based on family data of 4408 646 full and half-siblings, and genetic data of 333 748cases and controls-CORRIGENDUM", Psychol Med, 49, pp.351~ (2019)
- de Jong S, "Applying polygenic risk scoring for psychiatric disorders to a large family with bipolar disorder and major depressive disorder", Commun Biol, 1, pp.163~ (2018)
- Marco Calabrò, "ZNF804A Gene Variants Have a Cross-diagnostic Influence on Psychosis and Treatment Improvement in Mood Disorders", Clinical Psychopharmacology and Neuroscience, 18(2), pp.231~240 (2020), 대한정신약물학회[DOI]
- Marco Calabrò, "Genes Involved in Neurodevelopment, Neuroplasticity and Major Depression: No Association for CACNA1C, CHRNA7 and MAPK1", Clinical Psychopharmacology and Neuroscience, 17(3), pp.364~368 (2019), 대한정신약물학회[DOI]
- (2017)[URL]
- Nikolaienko O, "Arc protein : a flexible hub for synaptic plasticity and cognition", Semin Cell Dev Biol, 77, pp.33~42 (2018)
- Calabrò M, "Genetic variants within key nodes of the cascade of antipsychotic mechanisms : effects on antipsychotic response and schizophrenia psychopathology in a naturalistic treatment setting in two independent Korean and Italian samples", Adv Ther, 34, pp.1482~1497 (2017)
- Li Y, "A critical evaluation of the activity-regulated cytoskeleton-associated protein (Arc", Arg3.1)'s putative role in regulating dendritic plasticity, cognitive processes, and mood in animal models of depression, 2015, pp.9, 279~
- Calabrò M, "The serotonin transporter and the activity regulated cytoskeleton-associated protein genes in antidepressant response and resistance: 5-HTTLPR and other variants", Hum Psychopharmacol, 33, pp.e2682~ (2018)
- Lyford GL, "Arc, a growth factor and activityregulated gene, encodes a novel cytoskeleton-associated protein that is enriched in neuronal dendrites", Neuron, 14, pp.433~445 (1995)
- Messaoudi E, "Sustained Arc", Arg3.1 synthesis controls long-term potentiation consolidation through regulation of local actin polymerization in the dentate gyrus in vivo, 2007, pp.27, 10445~10455
- Fujimoto T, "Arc interacts with microtubules", microtubule-associated protein 2and attenuates microtubule-associated protein 2 immunoreactivity in the dendrites, 2004, pp.76, 51~63
- Balu DT, "Chronic D-serine reverses arc expression and partially rescues dendritic abnormalities in a mouse model of NMDA receptor hypofunction", Neurochem Int, 75, pp.76~78 (2014)
- Peebles CL, "Arc regulates spine morphology and maintains network stability in vivo", Proc Natl Acad Sci U S A, 107, pp.18173~18178 (2010)
- Souery D, "Depression across mood disorders : review and analysis in a clinical sample", Compr Psychiatry, 53, pp.24~38 (2012)
- Sheehan DV, "The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10", J Clin Psychiatry, 59(Suppl 20), pp.22~33 (1998)
- Calabrò M, "Genes involved in neurodevelopment, neuroplasticity, and bipolar disorder : CACNA1C, CHRNA1, and MAPK1", Neuropsychobiology, 74, pp.159~168 (2016)
- Mandelli L, "The impact of a single nucleotide polymorphism in SIGMAR1 on depressive symptoms in major depressive disorder and bipolar disorder", Adv Ther, 34, pp.713~724 (2017)
- Schosser A, "European Group for the Study of Resistant Depression(GSRD)--where have we gone so far : review of clinical and genetic findings", Eur Neuropsychopharmacol, 22, pp.453~468 (2012)
- Barrett JC, "Haploview : analysis and visualization of LD and haplotype maps", Bioinformatics, 21, pp.263~265 (2005)
- Desmet FO, "Human Splicing Finder : an online bioinformatics tool to predict splicing signals", Nucleic Acids Res, 37, pp.e67~ (2009)
- Pei Q, "Serotonergic regulation of mRNA expression of Arc, an immediate early gene selectively localized at neuronal dendrites", Neuropharmacology, 39, pp.463~470 (2000)
- De Foubert G, "Fluoxetine-induced change in rat brain expression of brain-derived neurotrophic factor varies depending on length of treatment", Neuroscience, 128, pp.597~604 (2004)
- (2019)[URL]