| Literature DB >> 25328909 |
Ronald L Neppl1, Da-Zhi Wang1.
Abstract
According to the World Health Organization, cardiovascular disease accounts for approximately 30% of all deaths in the United States, and is the worldwide leading cause of morbidity and mortality. Over the last several years, microRNAs have emerged as critical regulators of physiological homeostasis in multiple organ systems, including the cardiovascular system. The focus of this review is to provide an overview of the current state of knowledge of the molecular mechanisms contributing to the multiple causes of cardiovascular disease with respect to regulation by microRNAs. A major challenge in understanding the roles of microRNAs in the pathophysiology of cardiovascular disease is that cardiovascular disease may arise from perturbations in intracellular signaling in multiple cell types including vascular smooth muscle and endothelial cells, cardiac myocytes and fibroblasts, as well as hepatocytes, pancreatic β-cells, and others. Additionally, perturbations in intracellular signaling cascades may also have profound effects on heterocellular communication via secreted cytokines and growth factors. There has been much progress in recent years to identify the microRNAs that are both dysregulated under pathological conditions, as well as the signaling pathway(s) regulated by an individual microRNA. The goal of this review is to summarize what is currently known about the mechanisms whereby microRNAs maintain cardiovascular homeostasis and to attempt to identify some key unresolved questions that require further study.Entities:
Year: 2014 PMID: 25328909 PMCID: PMC4200483 DOI: 10.1016/j.gendis.2014.06.003
Source DB: PubMed Journal: Genes Dis ISSN: 2352-3042
Validated targets of miRNAs implicated in the pathophysiology of cardiovascular disease. What is evident from this table is that multiple gene targets are targeted by multiple miRNAs under a variety of pathological conditions.
| miRNA | Gene targets | Pathophysiology | Ref(s). |
|---|---|---|---|
| Let7 | Nf2 | INFR, Cancer | |
| 1 | RhoA, Cdc42, Nelf-A/WHSC2, Kcnj2, Gja1, Ppp2r5a, Vegfa | CH, ARR, ANG | |
| 10 | MAP3K7, βTRC, Flt1 | ATH, ANG | |
| 15 | Vegfa | ANG | |
| 16 | Kdr | ANG | |
| 20 | Vegfa, Hif1a | ANG | |
| 21 | Pten, Pdcd4, Ppara, Mpv17l, Sorbs2, Pdlim5 | Cancer, ISC, INFR, CH | |
| 23 | Xiap, MuRF1 | CI, CH | |
| 25 | Serca2, Ip3r1 | ARR, HF | |
| 26 | Kcnj2 | ARR | |
| 29 | Adamts7, Col1a1, Col1a2, Col3a1, Fibrillin | ATH, ARR, CR | |
| 30 | CTGF, MTP | CR, ATH, DLD | |
| 33 | CROT, CPT1a, HADHB, AMPKa, IRS2, ABCA1, Npc1 | ATH, DLD | |
| 34 | Ppp1r10, vinculin, Sema4b, Pofut1, Bcl6 | MI, CH | |
| 93 | Vegfa | MetS | |
| 122 | Slc7a1, Agpat1, Alpl, Cs, Klf6, Prom1, Sox4 | Cancer, DLD | |
| 125 | Grin2a | NSP | |
| 126 | Spred1, Vcam1, Rgs16, Foxo3, Bcl2, Irs1, Tsc1 | ANG, ATH, INFR | |
| 130 | Pparg | MetS | |
| 132 | FoxO3, p300, p120RasGAP, MeCP2 | CH, INFR, ANG, Rett Syndrome | |
| 133 | CTGF, RhoA, Cdc42, Nelf-A/WHSC2 | CH, CR | |
| 143 | Klf5, Ssh2, Mrtfb, Orp8 | ATH, T2DM | |
| 144 | ABCA1 | DLD | |
| 145 | Klf4, Klf5, Srgap1/2, Ssh2, Ace | ATH | |
| 146 | Tlr4, Myd88, Irak1, Traf6 | INFR | |
| 155 | Jarid2, Bcl6, eNOS, Socs1, c-MAF, Tnf | CH, ATH, HT, INFR | |
| 181 | Cyld, Gria2 | Cancer, NSP | |
| 192 | Sip1 | CR | |
| 199 | Dyrk1a | CH | |
| 200 | Vegfa | Diabetic Retinopathy | |
| 204 | Mafa | T1DM | |
| 208 | Med13 | CH, MetS | |
| 206 | Vegfa | ANG | |
| 210 | Gpd1l, Efna3, Ptp1b, Rad52, E2f3, Casp8ap2, Iscu | HYP, cMet | |
| 212 | FoxO3 | CH | |
| 214 | Slc8a1, Bcl2l11, Ppif | CR | |
| 221/222 | p27kip1 | ATH | |
| 223 | Icam1, Gria2, Grin2b, Pknox1 | ATH, CI, MetS | |
| 296 | Hgs | ANG | |
| 301 | Pias3 | INFR | |
| 320 | Aqp1, Aqp4, Hsp6b, Ets2, Mmp9, Emilin2, Nrp1, Pfkm | CI, MI/ISC, Cancer, ANG, cMet | |
| 328 | Pim1, Cacna1c, Cacnb1, Igf1r | Cancer, ARR, HYP | |
| 342 | Akt1, Bmpr2 | ATH | |
| 375 | Cadm1, Gphn, Cav1, Id3, Smarca2, Rasd1, Aifm1, Mtpn, Vti1a | T1DM | |
| 378 | Med13, Crat | DLD, MetS | |
| 380 | Tp53 | Cancer | |
| 424 | Cul2 | HYP, ANG | |
| 425 | Nppa | HT | |
| 484 | Fis1 | HYP, cMet | |
| 486 | Pten, Foxo1a | CH | |
| 499 | Calcineurin, Drp1, Sox6, Purβ, Sp3, Hp-1β, Med13, Mstn, Mapk6 | CH, Striated Muscle Performance | |
| 637 | ATP6VOA1 | HT |
Arrhythmia – ARR, Atherosclerosis – ATH, Angiogenesis – ANG, Cardiac Hypertrophy – CH, Cerebral Infarct – CI, Cardiac Remodeling – CR, Cellular Metabolism – cMet, Dyslipidemia – DLD, Heart Failure – HF, Hypertension – HT, Hypoxia – HYP, Inflammation and Immune Response – INFR, Ischemia – ISC, Metabolic Syndrome – MetS, Myocardial Infarction – MI, Neuronal and Synaptic Plasticity – NSP, Type 1 Diabetes – T1DM, Type 2 Diabetes – T2DM.
Figure 1Schematic representation of the effect of SNPs on miRNA target sites. SNPs in the 3′UTR of protein coding genes may result in the loss or gain of a miRNA response element (MRE), thereby deleteriously altering post-transcriptional gene regulation.
Figure 2Known heterocellular signaling mechanisms involved in the progression of CVD. This figure summarizes what is currently known about multiple cell types within the cardiovascular system under normal physiological and pathophysiological conditions. The information presented above represents findings from multiple in vivo and in vitro experimental models in which genetic and disease models were utilized to determine the biological and physiological function of miRNAs.