| Literature DB >> 32024140 |
Yi-Chou Hou1, Chien-Lin Lu2, Tzu-Hang Yuan3, Min-Tser Liao4,5,6, Chia-Ter Chao3,7,8, Kuo-Cheng Lu2.
Abstract
Vascular calcification (VC) is an important complication among patients of advanced age, those with chronic kidney disease, and those with diabetes mellitus. The pathophysiology of VC encompasses passive occurrence of physico-chemical calcium deposition, active cellular secretion of osteoid matrix upon exposure to metabolically noxious stimuli, or a variable combination of both processes. Epigenetic alterations have been shown to participate in this complex environment, through mechanisms including DNA methylation, non-coding RNAs, histone modifications, and chromatin changes. Despite such importance, existing reviews fail to provide a comprehensive view of all relevant reports addressing epigenetic processes in VC, and cross-talk between different epigenetic machineries is rarely examined. We conducted a systematic review based on PUBMED and MEDLINE databases up to 30 September 2019, to identify clinical, translational, and experimental reports addressing epigenetic processes in VC; we retrieved 66 original studies, among which 60.6% looked into the pathogenic role of non-coding RNA, followed by DNA methylation (12.1%), histone modification (9.1%), and chromatin changes (4.5%). Nine (13.6%) reports examined the discrepancy of epigenetic signatures between subjects or tissues with and without VC, supporting their applicability as biomarkers. Assisted by bioinformatic analyses blending in each epigenetic component, we discovered prominent interactions between microRNAs, DNA methylation, and histone modification regarding potential influences on VC risk.Entities:
Keywords: chronic kidney disease; diabetes mellitus; epigenetic; medial calcification; microRNA; phosphate; vascular calcification; vascular smooth muscle cells
Mesh:
Year: 2020 PMID: 32024140 PMCID: PMC7037112 DOI: 10.3390/ijms21030980
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1A flow chart detailing our systematic review strategy and the derivation of included reports. ncRNA, non-coding RNA; VC, vascular calcification.
MicroRNAs involved in VC.
| miRNA Species | VC Models | VC Agonistic or Antagonistic | Molecular Influences | Reference |
|---|---|---|---|---|
| miR-21 | Human ASMC | Antagonistic | Down-regulate OPN | [ |
| miR-25 | Primary mouse ASMC | Antagonistic (potentially) | Down-regulate MOAP1 | [ |
| miR-26a | Human VSMC | Antagonistic | Down-regulate CTGF and RANKL | [ |
| miR-29a/29b/29c, miR-29b-3p | Rat VSMC, uremic rat arteries, uremic patient arteries | Antagonistic | Down-regulate ADAMTS-7 (direct target, miR-29a/b) | [ |
| Human VSMC | Agonistic | Down-regulate elastin | [ | |
| Primary rat ASMC, Nephrectomized rat with VC | Agonistic | Down-regulate HDAC4, CTNNBIP1, and ACVR2A | [ | |
| Rat VSMC, rat calcified arteries | Antagonistic | Down-regulate MMP2 (direct target, 29b-3p) | [ | |
| Human ASMC | Antagonistic | Down-regulate Wnt7b/ß-catenin | [ | |
| miR-30b | Human coronary SMC, human calcified coronary arteries | Antagonistic | Down-regulate RUNX2 (direct target) | [ |
| Human ASMC | Antagonistic (potentially) | [ | ||
| Rat VSMC, nephrectomized rat with VC | Antagonistic | Down-regulate SOX9 (direct target), up-regulate MMP, autophagy and mTOR | [ | |
| miR-30c/30e | Human coronary SMC | Antagonistic | Down-regulate RUNX2 (direct target, 30c) | [ |
| Mouse ASMC, ApoE KO mouse aorta | Antagonistic | Down-regulate IGF-2 (direct target, 30e) | [ | |
| miR-32 | Mouse ASMC, OPG KO mouse, plasma from human with CAC | Agonistic | Up-regulate RUNX2, BMP2, OPN, and ALP | [ |
| miR-34a/34b/34c | Aldosterone-treated rat VSMC | Antagonistic | Down-regulate SATB2 (direct target, 34b/34c) | [ |
| miR-34a KO mice | Agonistic | Down-regulate SIRT1 and Axl (direct target, 34a) | [ | |
| Rat VSMC, Nephrectomized rat with VC, uremic calcified renal arteries | Antagonistic | Down-regulate Notch1 (direct target, 34b) | [ | |
| miR-125b | Human coronary SMC, ApoE KO mouse calcified aorta | Antagonistic | Down-regulate osterix (direct target) | [ |
| Primary rat ASMC | Antagonistic | Down-regulate Ets1 (direct target) | [ | |
| Rat ASMC, adenine-feeding CKD rat with VC, sera from uremic patients | Antagonistic | Down-regulate RUNX2 and osteocalcin | [ | |
| miR-128-3p | Type 2 diabetic rats | Agonistic | Down-regulate ISL1 (direct target), up-regulate Wnt-1/ß-catenin and GSK-3ß | [ |
| miR-133a/133b | Primary mouse VSMC | Antagonistic | Down-regulate RUNX2 (direct target, 133a), osteocalcin, and ALP | [ |
| Human ASMC | Antagonistic (potentially) | [ | ||
| Primary rat ASMC, Nephrectomized rat with VC | Antagonistic | Down-regulate RUNX2 | [ | |
| Rat ASMC, adenine-feeding rat with VC | Agonistic (potentially) | [ | ||
| miR-135a, miR-135a-3p | Mouse ASMC, Klotho KO mouse aorta | Agonistic | Down-regulate NCX1 (135a-3p) | [ |
| Primary rat ASMC | Antagonistic | Down-regulate KLF4 (direct target) (135a) | [ | |
| miR-142-3p | DAB/2 mouse aorta, sera from uremic patients | Antagonistic (potentially) | [ | |
| miR-143 | Human ASMC | Antagonistic (potentially) | [ | |
| miR-155 | Rat ASMC, adenine-feeding rat with VC | Agonistic (potentially) | [ | |
| miR-182 | Rat ASMC, Calcified arteries from VitD-treated rat | Antagonistic | Down-regulate SORT1 (direct target) | [ |
| miR-204 | Mouse ASMC, VitD-treated mouse aorta | Antagonistic | Down-regulating RUNX2 (direct target) | [ |
| Mouse VSMC, Nephrectomized mouse with VC, calcified renal arteries from uremic patients | Antagonistic | Down-regulating DNMT3a (direct target) | [ | |
| Rat VSMC, adenine-feeding rat with VC, renal arteries from uremic patients | Antagonistic | Down-regulating RUNX2 (direct target) | [ | |
| miR-205 | Human ASMC | Antagonistic | Down-regulating RUNX2 and Smad1 (direct target) | [ |
| miR-211 | Primary rat ASMC, Nephrectomized rat with VC | Antagonistic | Down-regulate RUNX2 | [ |
| miR-221/222 | Primary mouse VSMC | Agonistic | Up-regulate ENPP1, PiT-1 | [ |
| miR-223 | Human primary VSMC, ApoE KO mouse aorta | Agonistic (potentially) | Down-regulate Mef2c, RhoB | [ |
| RAW264.7 cells | Antagonistic | Up-regulate osteoclastogenesis-related genes | [ | |
| RAW264.7 cells | Antagonistic | Down-regulate NF1A, RhoB | [ | |
| Human VSMC, plasma from uremic patients | Agonistic | - | [ | |
| miR-297a | VitD-treated rat with VC | Antagonistic | Down-regulate FGF-23 | [ |
| miR-302b | Nephrectomized rat with VC | Antagonistic | Down-regulate BMP-2, RUNX2, Osterix | [ |
| miR-712-3p | Mouse ASMC, Klotho KO mouse aorta | Agonistic | Down-regulate NCKX4 | [ |
| miR-714 | Mouse ASMC, Klotho KO mouse aorta | Agonistic | Down-regulate PMCA1 | [ |
| miR-762 | Mouse ASMC, Klotho KO mouse aorta | Agonistic | Down-regulate NCX1 | [ |
| miR-2861 | Mouse primary ASMC | Agonistic | Down-regulate HDAC5 | [ |
| miR-3960 | Mouse primary ASMC | Agonistic | Down-regulate HOXA2 | [ |
ADAMTS, a disintegrin and metalloproteinase with thrombospondin motifs; ALP, alkaline phosphatase; ASMC, aortic smooth muscle cell; BMP, bone morphogenetic protein; CTGF, connective tissue growth factor; CTNNBIP, catenin beta interacting protein; DNMT, DNA methyltransferase; ENPP, ectophosphodiesterase/nucleotide phosphohydrolase; FGF-23, fibroblast growth factor-23; GSK, glycogen synthase kinase; HDAC, histone deacetylase; IGF, insulin-like growth factor; KO, knockout; MMP, metalloproteinase; MOAP, modulator of apoptosis; mTOR, mammalian target of rapamycin; NCKX, Na+/Ca2+–K+ exchanger; NCX, Na+–Ca2+ exchanger; OPN, osteopontin; PMCA, plasma membrane Ca2+ ATPase; RANKL, receptor activator of nuclear factor kappa-B ligand; VC, vascular calcification; VSMC, vascular smooth muscle cell.
Figure 2A circular ribbon chart depicting interactions between literature-identified miRNAs in Table 1 and known molecular mediators of vascular calcification. The thickness of the ribbon is reflective of the scores assigned by the literature addressing the relationship based on miRNAtap (R package version 1.16.0; R foundation for Statistical Computing, Vienna, Austria) and topGO (R package version 2.34.0; R foundation for Statistical Computing, Vienna, Austria).
Figure 3A circular ribbon chart depicting interactions between literature-identified miRNAs in Table 1, and key molecules involved in DNA methylation and histone modification. The thickness of the ribbon is reflective of the scores assigned by the literature addressing the relationship based on miRNAtap (R package version 1.16.0; R foundation for Statistical Computing, Vienna, Austria) and topGO (R package version 2.34.0; R foundation for Statistical Computing, Vienna, Austria).