PMID- 25966899 OWN - NLM STAT- MEDLINE DCOM- 20151116 LR - 20150825 IS - 1097-4652 (Electronic) IS - 0021-9541 (Linking) VI - 230 IP - 12 DP - 2015 Dec TI - Revisiting Chaos Theorem to Understand the Nature of miRNAs in Response to Drugs of Abuse. PG - 2857-68 LID - 10.1002/jcp.25037 [doi] AB - Just like Matryoshka dolls, biological systems follow a hierarchical order that is based on dynamic bidirectional communication among its components. In addition to the convoluted inter-relationships, the complexity of each component spans several folds. Therefore, it becomes rather challenging to investigate phenotypes resulting from these networks as it requires the integration of reductionistic and holistic approaches. One dynamic system is the transcriptome which comprises a variety of RNA species. Some, like microRNAs, have recently received a lot of attention. miRNAs are very pleiotropic and have been considered as therapeutic and diagnostic candidates in the biomedical fields. In this review, we survey miRNA profiles in response to drugs of abuse (DA) using 118 studies. After providing a summary of miRNAs related to substance use disorders (SUD), general patterns of miRNA signatures are compared among studies for single or multiple drugs of abuse. Then, current challenges and drawbacks in the field are discussed. Finally, we provide support for considering miRNAs as a chaotic system in normal versus disrupted states particularly in SUD and propose an integrative approach for studying and analyzing miRNA data. CI - (c) 2015 Wiley Periodicals, Inc. FAU - Taki, Faten A AU - Taki FA AD - Department of Biology, East Carolina University, Greenville, North Carolina. FAU - Pan, Xiaoping AU - Pan X AD - Department of Biology, East Carolina University, Greenville, North Carolina. FAU - Zhang, Baohong AU - Zhang B AD - Department of Biology, East Carolina University, Greenville, North Carolina. LA - eng PT - Journal Article PT - Review PL - United States TA - J Cell Physiol JT - Journal of cellular physiology JID - 0050222 RN - 0 (Genetic Markers) RN - 0 (MicroRNAs) SB - IM MH - Animals MH - Gene Expression Profiling/methods MH - Gene Expression Regulation/drug effects MH - *Genetic Markers MH - Humans MH - MicroRNAs/*genetics/metabolism MH - *Models, Genetic MH - *Nonlinear Dynamics MH - Substance-Related Disorders/*genetics/metabolism EDAT- 2015/05/15 06:00 MHDA- 2015/11/17 06:00 CRDT- 2015/05/14 06:00 PHST- 2015/03/27 00:00 [received] PHST- 2015/05/05 00:00 [accepted] PHST- 2015/05/14 06:00 [entrez] PHST- 2015/05/15 06:00 [pubmed] PHST- 2015/11/17 06:00 [medline] AID - 10.1002/jcp.25037 [doi] PST - ppublish SO - J Cell Physiol. 2015 Dec;230(12):2857-68. doi: 10.1002/jcp.25037.