Literature DB >> 29408968

MicroRNA132 associated multimodal neuroimaging patterns in unmedicated major depressive disorder.

Shile Qi1,2, Xiao Yang3,4, Liansheng Zhao3,4, Vince D Calhoun5,6,7,8, Nora Perrone-Bizzozero7,8, Shengfeng Liu1, Rongtao Jiang1,2, Tianzi Jiang1,2,9, Jing Sui1,2,5,9, Xiaohong Ma3,4.   

Abstract

There is compelling evidence that epigenetic factors contribute to the manifestation of depression, in which microRNA132 (miR-132) is suggested to play a pivotal role in the pathogenesis and neuronal mechanisms underlying the symptoms of depression. Additionally, several depression-associated genes [MECP2, ARHGAP32 (p250GAP), CREB, and period genes] were experimentally validated as miR-132 targets. However, most studies regarding miR-132 in major depressive disorder are based on post-mortem, animal models or genetic comparisons. This work will be the first attempt to investigate how miR-132 dysregulation may impact covariation of multimodal brain imaging data in 81 unmedicated major depressive patients and 123 demographically-matched healthy controls, as well as in a medication-naïve subset of major depressive patients. MiR-132 values in blood (patients > controls) was used as a prior reference to guide fusion of three MRI features: fractional amplitude of low frequency fluctuations, grey matter volume, and fractional anisotropy. The multimodal components correlated with miR-132 also show significant group difference in loadings. Results indicate that (i) higher miR-132 levels in major depressive disorder are associated with both lower fractional amplitude of low frequency fluctuations and lower grey matter volume in fronto-limbic network; and (ii) the identified brain regions linked with increased miR-132 levels were also associated with poorer cognitive performance in attention and executive function. Using a data-driven, supervised-learning method, we determined that miR-132 dysregulation in major depressive disorder is associated with multi-facets of brain function and structure in fronto-limbic network (the key network for emotional regulation and memory), which deepens our understanding of how miR-132 dysregulation in major depressive disorders contribute to the loss of specific brain areas and is linked to relevant cognitive impairments.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 29408968      PMCID: PMC5837315          DOI: 10.1093/brain/awx366

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  51 in total

1.  Impaired interhemispheric connectivity in medication-naive patients with major depressive disorder.

Authors:  Ke Xu; Wenyan Jiang; Ling Ren; Xuan Ouyang; Yifeng Jiang; Feng Wu; Lingtao Kong; Fay Womer; Zhening Liu; Hilary P Blumberg; Yanqing Tang; Fei Wang
Journal:  J Psychiatry Neurosci       Date:  2013-01       Impact factor: 6.186

Review 2.  Neurobiology of emotion perception I: The neural basis of normal emotion perception.

Authors:  Mary L Phillips; Wayne C Drevets; Scott L Rauch; Richard Lane
Journal:  Biol Psychiatry       Date:  2003-09-01       Impact factor: 13.382

3.  microRNA-132 regulates dendritic growth and arborization of newborn neurons in the adult hippocampus.

Authors:  Stephen T Magill; Xiaolu A Cambronne; Bryan W Luikart; Daniel T Lioy; Barbara H Leighton; Gary L Westbrook; Gail Mandel; Richard H Goodman
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-08       Impact factor: 11.205

Review 4.  Neurocognitive mechanisms in depression: implications for treatment.

Authors:  Luke Clark; Samuel R Chamberlain; Barbara J Sahakian
Journal:  Annu Rev Neurosci       Date:  2009       Impact factor: 12.449

5.  Lower hippocampal volume in patients suffering from depression: a meta-analysis.

Authors:  Stephanie Campbell; Michael Marriott; Claude Nahmias; Glenda M MacQueen
Journal:  Am J Psychiatry       Date:  2004-04       Impact factor: 18.112

6.  An activity-regulated microRNA controls dendritic plasticity by down-regulating p250GAP.

Authors:  Gary A Wayman; Monika Davare; Hideaki Ando; Dale Fortin; Olga Varlamova; Hai-Ying M Cheng; Daniel Marks; Karl Obrietan; Thomas R Soderling; Richard H Goodman; Soren Impey
Journal:  Proc Natl Acad Sci U S A       Date:  2008-06-24       Impact factor: 11.205

7.  Amygdala volume in major depressive disorder: a meta-analysis of magnetic resonance imaging studies.

Authors:  J P Hamilton; M Siemer; I H Gotlib
Journal:  Mol Psychiatry       Date:  2008-05-27       Impact factor: 15.992

8.  MicroRNA-210 as a novel blood biomarker in acute cerebral ischemia.

Authors:  Lili Zeng; Jianrong Liu; Yongting Wang; Ling Wang; Suiqing Weng; Yaohui Tang; Chaobo Zheng; Qi Cheng; Shengdi Chen; Guo-Yuan Yang
Journal:  Front Biosci (Elite Ed)       Date:  2011-06-01

9.  Altered white matter microstructure in adolescents with major depression: a preliminary study.

Authors:  Kathryn R Cullen; Bonnie Klimes-Dougan; Ryan Muetzel; Bryon A Mueller; Jazmin Camchong; Alaa Houri; Sanjiv Kurma; Kelvin O Lim
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2010-02       Impact factor: 8.829

10.  Current research and emerging directions in emotion-cognition interactions.

Authors:  Florin Dolcos; Lihong Wang; Mara Mather
Journal:  Front Integr Neurosci       Date:  2014-11-11
View more
  27 in total

1.  Neural extracellular vesicle-derived miR-17 in blood as a potential biomarker of subthreshold depression.

Authors:  Yusuke Mizohata; Hiroyuki Toda; Minori Koga; Taku Saito; Masanori Fujita; Tetsuya Kobayashi; Shin Hatakeyama; Yuji Morimoto
Journal:  Hum Cell       Date:  2021-05-19       Impact factor: 4.174

Review 2.  miRNAs as potential diagnostic biomarkers and pharmacogenomic indicators in psychiatric disorders.

Authors:  Evangelia Eirini Tsermpini; Christina I Kalogirou; George C Kyriakopoulos; George P Patrinos; Constantinos Stathopoulos
Journal:  Pharmacogenomics J       Date:  2022-06-20       Impact factor: 3.245

3.  Linked 4-Way Multimodal Brain Differences in Schizophrenia in a Large Chinese Han Population.

Authors:  Shengfeng Liu; Haiying Wang; Ming Song; Luxian Lv; Yue Cui; Yong Liu; Lingzhong Fan; Nianming Zuo; Kaibin Xu; Yuhui Du; Qingbao Yu; Na Luo; Shile Qi; Jian Yang; Sangma Xie; Jian Li; Jun Chen; Yunchun Chen; Huaning Wang; Hua Guo; Ping Wan; Yongfeng Yang; Peng Li; Lin Lu; Hao Yan; Jun Yan; Huiling Wang; Hongxing Zhang; Dai Zhang; Vince D Calhoun; Tianzi Jiang; Jing Sui
Journal:  Schizophr Bull       Date:  2019-03-07       Impact factor: 9.306

4.  Multimodal data revealed different neurobiological correlates of intelligence between males and females.

Authors:  Rongtao Jiang; Vince D Calhoun; Yue Cui; Shile Qi; Chuanjun Zhuo; Jin Li; Rex Jung; Jian Yang; Yuhui Du; Tianzi Jiang; Jing Sui
Journal:  Brain Imaging Behav       Date:  2020-10       Impact factor: 3.978

5.  Parallel group ICA+ICA: Joint estimation of linked functional network variability and structural covariation with application to schizophrenia.

Authors:  Shile Qi; Jing Sui; Jiayu Chen; Jingyu Liu; Rongtao Jiang; Rogers Silva; Armin Iraji; Eswar Damaraju; Mustafa Salman; Dongdong Lin; Zening Fu; Dongmei Zhi; Jessica A Turner; Juan Bustillo; Judith M Ford; Daniel H Mathalon; James Voyvodic; Sarah McEwen; Adrian Preda; Aysenil Belger; Steven G Potkin; Bryon A Mueller; Tulay Adali; Vince D Calhoun
Journal:  Hum Brain Mapp       Date:  2019-05-16       Impact factor: 5.038

Review 6.  The important roles of microRNAs in depression: new research progress and future prospects.

Authors:  Chenggui Miao; Jun Chang
Journal:  J Mol Med (Berl)       Date:  2021-02-27       Impact factor: 4.599

Review 7.  Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and Promises.

Authors:  Jing Sui; Rongtao Jiang; Juan Bustillo; Vince Calhoun
Journal:  Biol Psychiatry       Date:  2020-02-27       Impact factor: 13.382

8.  Reward Processing in Novelty Seekers: A Transdiagnostic Psychiatric Imaging Biomarker.

Authors:  Shile Qi; Gunter Schumann; Juan Bustillo; Jessica A Turner; Rongtao Jiang; Dongmei Zhi; Zening Fu; Andrew R Mayer; Victor M Vergara; Rogers F Silva; Armin Iraji; Jiayu Chen; Eswar Damaraju; Xiaohong Ma; Xiao Yang; Michael Stevens; Daniel H Mathalon; Judith M Ford; James Voyvodic; Bryon A Mueller; Aysenil Belger; Steven G Potkin; Adrian Preda; Chuanjun Zhuo; Yong Xu; Congying Chu; Tobias Banaschewski; Gareth J Barker; Arun L W Bokde; Erin Burke Quinlan; Sylvane Desrivières; Herta Flor; Antoine Grigis; Hugh Garavan; Penny Gowland; Andreas Heinz; Jean-Luc Martinot; Marie-Laure Paillère Martinot; Eric Artiges; Frauke Nees; Dimitri Papadopoulos Orfanos; Tomáš Paus; Luise Poustka; Sarah Hohmann; Juliane H Fröhner; Michael N Smolka; Henrik Walter; Robert Whelan; Vince D Calhoun; Jing Sui
Journal:  Biol Psychiatry       Date:  2021-01-30       Impact factor: 12.810

Review 9.  Machine learning in major depression: From classification to treatment outcome prediction.

Authors:  Shuang Gao; Vince D Calhoun; Jing Sui
Journal:  CNS Neurosci Ther       Date:  2018-08-23       Impact factor: 5.243

10.  Electroconvulsive therapy treatment responsive multimodal brain networks.

Authors:  Shile Qi; Christopher C Abbott; Katherine L Narr; Rongtao Jiang; Joel Upston; Shawn M McClintock; Randall Espinoza; Tom Jones; Dongmei Zhi; Hailun Sun; Xiao Yang; Jing Sui; Vince D Calhoun
Journal:  Hum Brain Mapp       Date:  2020-01-06       Impact factor: 5.038

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.