Role of Epigenetics and Metabolomics in Predicting Endothelial Dysfunction in Type 2 Diabetes
Source abstract
Abstract
Abstract Type 2 diabetes (T2D) is a worldwide health problem and cardiovascular disease (CVD) is a leading cause of morbidity and mortality in T2D patients, making the prevention of CVD onset a major priority. It is therefore crucial to optimize diagnosis and treatment to reduce this burden. Endothelial dysfunction is one of the most important prognostic factors for CVD progression, thus novel approaches to identify the early phase of endothelial dysfunction may lead to specific preventive measures to reduce the occurrence of CVD. Nowadays, multiomics approaches have provided unprecedented opportunities to stratify T2D patients into endotypes, improve therapeutic treatment and outcome and amend the survival prediction. Among omics strategies, epigenetics and metabolomics are gaining increasing interest. Recently, a dynamic correlation between metabolic pathways and gene expression through chromatin remodeling, such as DNA methylation, has emerged, indicating new perspectives on the regulatory networks impacting cellular processes. Thus, a better understanding of epigenetic‐metabolite relationships can provide insight into the physiological processes altered early in the endothelium that ultimately head to disease development. Here, recent studies on epigenetics and metabolomics related to CVD prevention potentially useful to identify disease biomarkers, as well as new therapies hopefully targeting the early phase of endothelial dysfunction are highlighted.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Epigenetics and DNA Methylation · Immune cells in cancer · Metabolism, Diabetes, and Cancer
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Medical, Oral and Biotechnological Sciences “G. d'Annunzio” University of Chieti‐Pescara Chieti 66100 Italy
Center for Advanced Studies and Technology—CAST “G. d'Annunzio” University of Chieti‐Pescara Chieti 66100 Italy
Department of Medicine and Aging Sciences “G. d'Annunzio” University Chieti‐Pescara Chieti 66100 Italy
References (100+)
Show source-provided references
1. Simsek S. · Mediators Inflammation · 2010 · 2010
2. 10.1161/01.CIR.103.12.161810.1161/01.CIR.103.12.1618 ↗
3. 10.1002/mnfr.20110050010.1002/mnfr.201100500 ↗
4. 10.1186/s12933-017-0531-910.1186/s12933-017-0531-9 ↗
5. 10.1152/ajpendo.2001.280.5.E68510.1152/ajpendo.2001.280.5.E685 ↗
6. 10.1161/01.CIR.0000051367.92927.0710.1161/01.CIR.0000051367.92927.07 ↗
7. 10.1007/s00018-018-2864-210.1007/s00018-018-2864-2 ↗
8. 10.1161/01.ATV.0000185831.13559.a210.1161/01.ATV.0000185831.13559.a2 ↗
9. 10.1152/ajpendo.00247.202010.1152/ajpendo.00247.2020 ↗
10. 10.2337/diacare.24.1.10410.2337/diacare.24.1.104 ↗
11. 10.1177/000331972090358610.1177/0003319720903586 ↗
12. 10.1016/bs.adgen.2015.11.00410.1016/bs.adgen.2015.11.004 ↗
13. 10.1002/wsbm.134410.1002/wsbm.1344 ↗
14. 10.3390/antiox1008130610.3390/antiox10081306 ↗
15. 10.1016/j.bcp.2022.11510810.1016/j.bcp.2022.115108 ↗
16. 10.1093/ehjcvp/pvz06210.1093/ehjcvp/pvz062 ↗
17. Baldassarre M. P. A. · Oxid Med Cell Longev · 202110.1155/2021/7887426 ↗
18. 10.1007/s00125-016-4113-210.1007/s00125-016-4113-2 ↗
19. 10.1007/s00592-018-1201-410.1007/s00592-018-1201-4 ↗
20. 10.2337/db12-054810.2337/db12-0548 ↗
21. 10.2337/db08-163710.2337/db08-1637 ↗
22. 10.1111/dom.1247010.1111/dom.12470 ↗
23. 10.2337/db17-068210.2337/db17-0682 ↗
24. 10.1016/j.cell.2016.08.05610.1016/j.cell.2016.08.056 ↗
25. 10.1172/JCI9917010.1172/JCI99170 ↗
26. 10.1038/s41574-022-00671-w10.1038/s41574-022-00671-w ↗
27. 10.1038/nrg204510.1038/nrg2045 ↗
28. 10.1186/s13148-017-0399-210.1186/s13148-017-0399-2 ↗
29. 10.1038/s41581-019-0135-610.1038/s41581-019-0135-6 ↗
30. 10.2337/dbi20-003010.2337/dbi20-0030 ↗
31. 10.1093/eep/dvy01610.1093/eep/dvy016 ↗
32. 10.1093/humupd/dmz01710.1093/humupd/dmz017 ↗
33. 10.1038/nrg.2015.1610.1038/nrg.2015.16 ↗
34. 10.1038/nrneph.2015.3710.1038/nrneph.2015.37 ↗
35. 10.1038/s41581-020-0298-110.1038/s41581-020-0298-1 ↗
36. 10.3390/ijms2012294910.3390/ijms20122949 ↗
37. 10.1093/cvr/cvr02410.1093/cvr/cvr024 ↗
38. 10.1159/00052041210.1159/000520412 ↗
39. 10.1073/pnas.050039810210.1073/pnas.0500398102 ↗
40. 10.1161/CIRCGENETICS.110.95874410.1161/CIRCGENETICS.110.958744 ↗
41. 10.1038/nbt.168510.1038/nbt.1685 ↗
42. 10.1161/CIRCULATIONAHA.110.95683910.1161/CIRCULATIONAHA.110.956839 ↗
43. 10.1530/VB-20-000110.1530/VB-20-0001 ↗
44. 10.1002/jcp.2122410.1002/jcp.21224 ↗
45. 10.1016/j.molmet.2019.06.01110.1016/j.molmet.2019.06.011 ↗
46. 10.1126/scitranslmed.300126210.1126/scitranslmed.3001262 ↗
47. 10.1016/S2213-8587(15)00127-810.1016/S2213-8587(15)00127-8 ↗
48. 10.1038/emboj.2011.50310.1038/emboj.2011.503 ↗
49. 10.3389/fcvm.2020.0002810.3389/fcvm.2020.00028 ↗
50. 10.2337/db17-029410.2337/db17-0294 ↗
51. Liu Z. H. · J Endocrinol Invest · 2012 · 35 · 585
52. 10.1038/ncomms1108910.1038/ncomms11089 ↗
53. 10.1080/15592294.2016.117841810.1080/15592294.2016.1178418 ↗
54. 10.2337/db18-029010.2337/db18-0290 ↗
55. 10.2337/db20-020410.2337/db20-0204 ↗
56. 10.1186/s12916-015-0421-510.1186/s12916-015-0421-5 ↗
57. 10.1093/hmg/ddv23210.1093/hmg/ddv232 ↗
58. 10.1016/j.atherosclerosis.2017.05.02210.1016/j.atherosclerosis.2017.05.022 ↗
59. 10.1161/CIRCGENETICS.113.00044110.1161/CIRCGENETICS.113.000441 ↗
60. 10.1016/j.yexcr.2021.11248510.1016/j.yexcr.2021.112485 ↗
61. 10.1016/j.amsu.2020.10.01610.1016/j.amsu.2020.10.016 ↗
62. 10.18632/aging.10168410.18632/aging.101684 ↗
63. 10.18632/aging.10141410.18632/aging.101414 ↗
64. 10.1038/s41576-018-0004-310.1038/s41576-018-0004-3 ↗
65. 10.2337/db20-116710.2337/db20-1167 ↗
66. 10.1080/15592294.2016.127809710.1080/15592294.2016.1278097 ↗
67. 10.1038/cr.2011.2210.1038/cr.2011.22 ↗
68. 10.1016/j.cell.2007.02.00510.1016/j.cell.2007.02.005 ↗
69. Denis G. V. · Discov Med · 2010 · 10
70. 10.1128/MMBR.64.2.435-459.200010.1128/MMBR.64.2.435-459.2000 ↗
71. 10.1016/j.gde.2005.01.00510.1016/j.gde.2005.01.005 ↗
72. 10.3390/cells1203043110.3390/cells12030431 ↗
73. 10.1096/fj.202002072RR10.1096/fj.202002072RR ↗
74. 10.1021/acs.chemrev.6b0080110.1021/acs.chemrev.6b00801 ↗
75. 10.1038/nrg317310.1038/nrg3173 ↗
76. 10.1038/emm.2017.1110.1038/emm.2017.11 ↗
77. 10.1016/j.bbacli.2016.05.00510.1016/j.bbacli.2016.05.005 ↗
78. 10.1080/00325481.2019.168121510.1080/00325481.2019.1681215 ↗
79. 10.1084/jem.2008118810.1084/jem.20081188 ↗
80. 10.1161/CIRCGENETICS.114.00067110.1161/CIRCGENETICS.114.000671 ↗
81. 10.1073/pnas.080362310510.1073/pnas.0803623105 ↗
82. 10.1007/s11033-012-1756-z10.1007/s11033-012-1756-z ↗
83. 10.1093/eurheartj/eht14910.1093/eurheartj/eht149 ↗
84. 10.1016/j.freeradbiomed.2017.12.01710.1016/j.freeradbiomed.2017.12.017 ↗
85. 10.1161/ATVBAHA.114.30473010.1161/ATVBAHA.114.304730 ↗
86. 10.1016/j.lfs.2015.02.02210.1016/j.lfs.2015.02.022 ↗
87. 10.1074/jbc.M31178620010.1074/jbc.M311786200 ↗
88. 10.2337/db11-041610.2337/db11-0416 ↗
89. 10.1038/nature1383510.1038/nature13835 ↗
90. 10.1016/j.tig.2012.02.00810.1016/j.tig.2012.02.008 ↗
91. 10.1038/ni.381810.1038/ni.3818 ↗
92. 10.1016/j.molmet.2020.10104110.1016/j.molmet.2020.101041 ↗
93. 10.1126/science.125108610.1126/science.1251086 ↗
94. 10.1073/pnas.172093011510.1073/pnas.1720930115 ↗
95. 10.1038/nature2427110.1038/nature24271 ↗
96. 10.1016/j.coi.2020.02.00210.1016/j.coi.2020.02.002 ↗
97. 10.1016/j.biochi.2012.08.01110.1016/j.biochi.2012.08.011 ↗
98. 10.1016/j.cmet.2019.05.01410.1016/j.cmet.2019.05.014 ↗
99. 10.1016/j.ceb.2019.12.00610.1016/j.ceb.2019.12.006 ↗
100. 10.1038/nature0981910.1038/nature09819 ↗