AIM: This study aims to identify novel genes associated with major depressive disorder and pharmacological treatment response using animal and human mRNA studies. MATERIALS & METHODS: Weighted gene coexpression network analysis was used to uncover genes associated with stress factors in mice and to inform mRNA probe set selection in a post-mortem study of depression. RESULTS: A total of 171 genes were found to be differentially regulated in response to both early and late stress protocols in a mouse study. Ten human genes, orthologous to mouse genes differentially expressed by stress, were also found to be dysregulated in depressed cases in a human post-mortem brain study from the Stanley Foundation Brain Collection. CONCLUSION: Several novel genes associated with depression were uncovered, including NOVA1 and USP9X. Moreover, we found further evidence in support of hippocampal neurogenesis and peripheral inflammation in major depressive disorder.
AIM: This study aims to identify novel genes associated with major depressive disorder and pharmacological treatment response using animal and human mRNA studies. MATERIALS & METHODS: Weighted gene coexpression network analysis was used to uncover genes associated with stress factors in mice and to inform mRNA probe set selection in a post-mortem study of depression. RESULTS: A total of 171 genes were found to be differentially regulated in response to both early and late stress protocols in a mouse study. Ten human genes, orthologous to mouse genes differentially expressed by stress, were also found to be dysregulated in depressed cases in a human post-mortem brain study from the Stanley Foundation Brain Collection. CONCLUSION: Several novel genes associated with depression were uncovered, including NOVA1 and USP9X. Moreover, we found further evidence in support of hippocampal neurogenesis and peripheral inflammation in major depressive disorder.
Authors: Karim Malki; Oliver Pain; Ebba Du Rietz; Maria Grazia Tosto; Jose Paya-Cano; Kenneth N Sandnabba; Sietse de Boer; Leonard C Schalkwyk; Frans Sluyter Journal: Neurogenetics Date: 2014-08-22 Impact factor: 2.660
Authors: Hai Huang; Qin Zhang; Chen Ye; Jian-Min Lv; Xi Liu; Lu Chen; Hao Wu; Lei Yin; Xin-Gang Cui; Dan-Feng Xu; Wen-Hui Liu Journal: J Cancer Res Clin Oncol Date: 2017-08-28 Impact factor: 4.553
Authors: Karim Malki; Yann S Mineur; Maria Grazia Tosto; James Campbell; Priya Karia; Irfan Jumabhoy; Frans Sluyter; Wim E Crusio; Leonard C Schalkwyk Journal: BMC Genomics Date: 2015-04-03 Impact factor: 3.969
Authors: Rosemary C Bagot; Hannah M Cates; Immanuel Purushothaman; Zachary S Lorsch; Deena M Walker; Junshi Wang; Xiaojie Huang; Oliver M Schlüter; Ian Maze; Catherine J Peña; Elizabeth A Heller; Orna Issler; Minghui Wang; Won-Min Song; Jason L Stein; Xiaochuan Liu; Marie A Doyle; Kimberly N Scobie; Hao Sheng Sun; Rachael L Neve; Daniel Geschwind; Yan Dong; Li Shen; Bin Zhang; Eric J Nestler Journal: Neuron Date: 2016-05-12 Impact factor: 17.173
Authors: Karim Malki; Robert Keers; Maria Grazia Tosto; Anbarasu Lourdusamy; Lucia Carboni; Enrico Domenici; Rudolf Uher; Peter McGuffin; Leonard C Schalkwyk Journal: BMC Med Date: 2014-05-07 Impact factor: 8.775