Page 94 - GPD-4-3
P. 94
Gene & Protein in Disease Dopaminergic dysfunction as pre-addiction
colorectal cancer: An in silico characterization of related 64. Elman I, Borsook D. Common brain mechanisms of chronic
exosomal lncRNA/circRNA-miRNA-Target Axis. Cells. pain and addiction. Neuron. 2016;89:11-36.
2023;12:1081.
doi: 10.1016/j.neuron.2015.11.027
doi: 10.3390/cells12071081
65. Dennen AC, Blum K, Braverman RE, et al. How to combat
54. Liu ZP, Wu C, Miao H, Wu H. RegNetwork: An integrated the global opioid crisis. CPQ Neurol Psychol. 2023;5:93.
database of transcriptional and post-transcriptional 66. García-Blanco A, Domingo-Rodriguez L, Cabana-
regulatory networks in human and mouse. Database. Domínguez J, et al., miRNA signatures associated with
2015;2015:bav095.
vulnerability to food addiction in mice and humans. J Clin
doi: 10.1093/database/bav095 Invest. 2022;132:e156281.
55. Atreya RV, Sun J, Zhao Z. Exploring drug-target interaction doi: 10.1172/JCI156281
networks of illicit drugs. BMC Genom. 2013;14:S1-12. 67. Zhao Y, Qin F, Han S, et al. MicroRNAs in drug addiction:
doi: 10.1186/1471-2164-14-S4-S1 Current status and future perspectives. Pharmacol Ther.
2022;236:108215.
56. Wang X, Shi Z, Zhao Z, et al. The causal relationship
between neuromyelitis optica spectrum disorder and other doi: 10.1016/j.pharmthera.2022.108215
autoimmune diseases. Front Immunol. 2022;13:959469. 68. Xia H, Akay YM, Akay M. Investigating miRNA-mRNA
doi: 10.3389/fimmu.2022.959469 interactions and gene regulatory networks from VTA
dopaminergic neurons following perinatal nicotine and
57. Marballi KK, Alganem K, Brunwasser SJ, et al. Identification alcohol exposure using bayesian network analysis. IEEE J
of activity-induced Egr3-dependent genes reveals genes Biomed Health Inform. 2022;26:3550-3555.
associated with DNA damage response and schizophrenia.
Transl Psychiatry. 2022;12(1):320. doi: 10.1109/JBHI.2022.3158620
doi: 10.1038/s41398-022-02069-8 69. Gelernter J. SLC6A4 polymorphism, population genetics,
and psychiatric traits. Hum Genet. 2014;133:459-461.
58. Evangelista JE, Xie Z, Marino GB, Nguyen N, Clarke DJ,
Ma’ayan A. Enrichr-KG: Bridging enrichment doi: 10.1007/s00439-013-1412-2
analysis across multiple libraries. Nucleic Acids Res. 70. Hughes EM, Thornton AM, Kerr DM, et al. Kappa opioid
2023;51(W1):W168-W179.
receptor-mediated modulation of social responding in
doi: 10.1093/nar/gkad393 adolescent rats and in rats prenatally exposed to valproic
acid. Neuroscience. 2020;444:9-18.
59. Stark C, Breitkreutz BJ, Reguly T, Boucher L, Breitkreutz A,
Tyers M. BioGRID: A general repository for interaction doi: 10.1016/j.neuroscience.2020.07.055
datasets. Nucleic Acids Res. 2006;34:D535-D539. 71. Hughes EM, Calcagno P, Sanchez C, et al. Mu-opioid
doi: 10.1093/nar/gkj109 receptor agonism differentially alters social behaviour and
immediate early gene expression in male adolescent rats
60. Zhou Y, Zhou B, Pache L, et al. Metascape provides a prenatally exposed to valproic acid versus controls. Brain
biologist-oriented resource for the analysis of systems-level Res Bull. 2021;174:260-267.
datasets. Nat Commun. 2019;10:1523.
doi: 10.1016/j.brainresbull.2021.06.018
doi: 10.1038/s41467-019-09234-6
72. Antón-Galindo E, Cabana-Domínguez J, Torrico B,
61. Bader GD, Hogue CW. An automated method for finding Corominas R, Cormand B, Fernàndez-Castillo N. The
molecular complexes in large protein interaction networks. pleiotropic contribution of genes in dopaminergic and
BMC Bioinformatics. 2003;4:1-27.
serotonergic pathways to addiction and related behavioral
doi: 10.1186/1471-2105-4-2 traits. Front Psychiatry. 2023;14:1293663.
62. Knowler WC, Fowler SE, Hamman RF, et al. 10-year doi: 10.3389/fpsyt.2023.1293663
follow-up of diabetes incidence and weight loss in the 73. Kimbrel NA, Ashley-Koch AE, Qin XJ, et al. Identification
diabetes prevention program outcomes study. Lancet. of novel, replicable genetic risk loci for suicidal thoughts and
2009;374:1677-1686.
behaviors among US military veterans. JAMA Psychiatry,
doi: 10.1016/S0140-6736(09)61457-4 2023;80:135-145.
63. Glechner A, Keuchel L, Affengruber L, et al. Effects of lifestyle doi: 10.1001/jamapsychiatry.2022.3896
changes on adults with prediabetes: A systematic review and 74. Fernandes AM, Campos J, Silva D, et al. Cerebral organoids
meta-analysis. Prim Care Diabetes. 2018;12:393-408.
to study central mechanisms of pain: The effect of stem cell
doi: 10.1016/j.pcd.2018.07.003 secretome on opioid receptors and neuroplasticity. Stem
Volume 4 Issue 3 (2025) 12 doi: 10.36922/gpd.8090

