Literature DB >> 30166527

MiR-9, miR-153 and miR-124 are down-regulated by acute exposure to cocaine in a dopaminergic cell model and may contribute to cocaine dependence.

Judit Cabana-Domínguez1,2,3,4, Concepció Arenas1, Bru Cormand5,6,7,8, Noèlia Fernàndez-Castillo9,10,11,12.   

Abstract

Cocaine is one of the most used psychostimulant drugs worldwide. MicroRNAs are post-transcriptional regulators of gene expression that are highly expressed in brain, and several studies have shown that cocaine can alter their expression. In a previous study, we identified several protein-coding genes that are differentially expressed in a dopaminergic neuron-like model after an acute exposure to cocaine. Now, we used the prediction tool WebGestalt to identify miRNA molecules potentially involved in the regulation of these genes. Using the same cellular model, we found that seven of these miRNAs are down-regulated by cocaine: miR-124-3p, miR-124-5p, miR-137, miR-101-3p, miR-9-5p, miR-369-3p and miR-153-3p, the last three not previously related to cocaine. Furthermore, we found that three of the miRNA genes that are differentially expressed in our model (hsa-miR-9-1, hsa-miR-153-1 and hsa-miR-124-3) are nominally associated with cocaine dependence in a case-control study (2,085 cases and 4,293 controls). In summary, we highlighted novel miRNAs that may be involved in those cocaine-induced changes of gene expression that underlie addiction. Moreover, we identified genetic variants that contribute to cocaine dependence in three of these miRNA genes, supporting the idea that genes differentially expressed under cocaine may play an important role in the susceptibility to cocaine dependence.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 30166527      PMCID: PMC6117282          DOI: 10.1038/s41398-018-0224-5

Source DB:  PubMed          Journal:  Transl Psychiatry        ISSN: 2158-3188            Impact factor:   6.222


  62 in total

1.  Risk of becoming cocaine dependent: epidemiological estimates for the United States, 2000-2001.

Authors:  Megan S O'Brien; James C Anthony
Journal:  Neuropsychopharmacology       Date:  2005-05       Impact factor: 7.853

2.  MicroRNA-9 regulates fetal alcohol-induced changes in D2 receptor to promote prolactin production.

Authors:  Omkaram Gangisetty; Shaima Jabbar; Olivia Wynne; Dipak K Sarkar
Journal:  J Endocrinol       Date:  2017-07-14       Impact factor: 4.286

3.  microRNAs miR-124, let-7d and miR-181a regulate cocaine-induced plasticity.

Authors:  Vijay Chandrasekar; Jean-Luc Dreyer
Journal:  Mol Cell Neurosci       Date:  2009-08-22       Impact factor: 4.314

Review 4.  Common single nucleotide variants underlying drug addiction: more than a decade of research.

Authors:  Kora-Mareen Bühler; Elena Giné; Victor Echeverry-Alzate; Javier Calleja-Conde; Fernando Rodriguez de Fonseca; Jose Antonio López-Moreno
Journal:  Addict Biol       Date:  2015-01-21       Impact factor: 4.280

5.  MicroRNA expression is differentially altered by xenobiotic drugs in different human cell lines.

Authors:  Alice C Rodrigues; Xin Li; Laura Radecki; Yu-Zhuo Pan; Jerrold C Winter; Min Huang; Ai-Ming Yu
Journal:  Biopharm Drug Dispos       Date:  2011-07-28       Impact factor: 1.627

Review 6.  Correlating human and animal studies of cocaine abuse and gene expression.

Authors:  Melinda E Lull; Willard M Freeman; Kent E Vrana; Deborah C Mash
Journal:  Ann N Y Acad Sci       Date:  2008-10       Impact factor: 5.691

Review 7.  Epigenetic mechanisms of drug addiction.

Authors:  Eric J Nestler
Journal:  Neuropharmacology       Date:  2013-04-30       Impact factor: 5.250

8.  A global reference for human genetic variation.

Authors:  Adam Auton; Lisa D Brooks; Richard M Durbin; Erik P Garrison; Hyun Min Kang; Jan O Korbel; Jonathan L Marchini; Shane McCarthy; Gil A McVean; Gonçalo R Abecasis
Journal:  Nature       Date:  2015-10-01       Impact factor: 49.962

Review 9.  Notch/Hes signaling and miR-9 engage in complex feedback interactions controlling neural progenitor cell proliferation and differentiation.

Authors:  Beate Roese-Koerner; Laura Stappert; Oliver Brüstle
Journal:  Neurogenesis (Austin)       Date:  2017-05-12

10.  WEB-based GEne SeT AnaLysis Toolkit (WebGestalt): update 2013.

Authors:  Jing Wang; Dexter Duncan; Zhiao Shi; Bing Zhang
Journal:  Nucleic Acids Res       Date:  2013-05-23       Impact factor: 16.971

View more
  7 in total

1.  Peripheral blood microRNA levels in females with cocaine use disorder.

Authors:  Thiago Wendt Viola; Bernardo Aguzzoli Heberle; Aline Zaparte; Breno Sanvicente-Vieira; Leonardo Mendes Wainer; Gabriel Rodrigo Fries; Consuelo Walss-Bass; Rodrigo Grassi-Oliveira
Journal:  J Psychiatr Res       Date:  2019-04-02       Impact factor: 4.791

Review 2.  Epigenetics and Neuroinflammation Associated With Neurodevelopmental Disorders: A Microglial Perspective.

Authors:  Munekazu Komada; Yuhei Nishimura
Journal:  Front Cell Dev Biol       Date:  2022-05-12

Review 3.  Role of microRNAs in the pathophysiology of addiction.

Authors:  Austin M Gowen; Katherine E Odegaard; Jordan Hernandez; Subhash Chand; Sneh Koul; Gurudutt Pendyala; Sowmya V Yelamanchili
Journal:  Wiley Interdiscip Rev RNA       Date:  2020-12-17       Impact factor: 9.957

Review 4.  Genetics of substance use disorders in the era of big data.

Authors:  Joel Gelernter; Renato Polimanti
Journal:  Nat Rev Genet       Date:  2021-07-01       Impact factor: 59.581

5.  Cocaine-regulated microRNA miR-124 controls poly (ADP-ribose) polymerase-1 expression in neuronal cells.

Authors:  Sabyasachi Dash; Muthukumar Balasubramaniam; Freddyson J Martínez-Rivera; Arthur Godino; Emily G Peck; Srinivas Patnaik; Mrutyunjay Suar; Erin S Calipari; Eric J Nestler; Fernando Villalta; Chandravanu Dash; Jui Pandhare
Journal:  Sci Rep       Date:  2020-07-08       Impact factor: 4.379

6.  SYNCRIP controls miR-137 and striatal learning in animal models of methamphetamine abstinence.

Authors:  Baeksun Kim; Sung Hyun Tag; Eunjoo Nam; Suji Ham; Sujin Ahn; Juhwan Kim; Doo-Wan Cho; Sangjoon Lee; Young-Su Yang; Seung Eun Lee; Yong Sik Kim; Il-Joo Cho; Kwang Pyo Kim; Su-Cheol Han; Heh-In Im
Journal:  Acta Pharm Sin B       Date:  2022-03-03       Impact factor: 14.903

7.  MiR-9-1 Suppresses Cell Proliferation and Promotes Apoptosis by Targeting UHRF1 in Lung Cancer.

Authors:  Cheng-You Jia; Wei Xiang; Ji-Bin Liu; Geng-Xi Jiang; Feng Sun; Jian-Jun Wu; Xiao-Li Yang; Rui Xin; Yi Shi; Dan-Dan Zhang; Wen Li; Zavuga Zuberi; Jie Zhang; Gai-Xia Lu; Hui-Min Wang; Pei-Yao Wang; Fei Yu; Zhong-Wei Lv; Yu-Shui Ma; Da Fu
Journal:  Technol Cancer Res Treat       Date:  2021 Jan-Dec
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.