Skip to main content
Erschienen in: Herz 7/2018

07.09.2017 | Original articles

Genome-wide DNA methylation patterns in coronary heart disease

Erschienen in: Herz | Ausgabe 7/2018

Einloggen, um Zugang zu erhalten

Abstract

Background

To better understand the molecular mechanisms of atherosclerosis, we conducted a comparative analysis of DNA methylation patterns in right coronary arteries in the area of advanced atherosclerotic plaques (CAP), great saphenous vein (GSV), and internal mammary artery (IMA) of patients affected by coronary heart disease.

Methods

DNA methylation data (accession number E‑GEOD-62867) were divided into three paired groups: CAP vs. IMA, CAP vs. GSV, and IMA vs. GSV. Differentially methylated genes (DMGs) were extracted to analyze the changes in the DMGs in the three different tissues. The gplots package was used for the clustering and heatmap analysis of DMGs. Subsequently, DMG-related pathways were identified using DAVID (Database for Annotation, Visualization and Integrated Discovery) and transcription factors (TFs) were predicted.

Results

Based on the filtering criterion of p < 0.05, and a mean beta value difference of ≥0.2, there were 252, 373, and 259 DMGs, respectively, in the CAP vs. IMA, CAP vs. GSV, and IMA vs. GSV groups. Interestingly, the S100A10 gene was hypomethylated in CAP compared with IMA and GSV. Clustering and heatmap analyses suggested that DMGs were segregated into two distinct clusters. Hypermethylated genes in CAP as compared with GSV were only involved in the pathway of fat digestion and absorption, while hypomethylated genes in CAP compared with GSV mainly participated in immune response-associated pathways (cytokine–cytokine receptor interaction, MAPK signaling pathway).

Conclusion

The DNA methylation differences in vascular tissues of patients with coronary artery disease may provide new insights into the mechanisms underlying the development of atherosclerosis. The functions identified here—cytokine–cytokine receptor interaction, MAPK signaling pathway, DMG (S100A10), and TF (NF-kB)—may serve as potential targets in the treatment of atherosclerosis.
Literatur
1.
Zurück zum Zitat GBD 2013 Mortality and Causes of Death Collaborators (2015) Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 385:117–171CrossRef GBD 2013 Mortality and Causes of Death Collaborators (2015) Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 385:117–171CrossRef
2.
Zurück zum Zitat Naseem KM (2005) The role of nitric oxide in cardiovascular diseases. Mol Aspects Med 26:33–65CrossRef Naseem KM (2005) The role of nitric oxide in cardiovascular diseases. Mol Aspects Med 26:33–65CrossRef
3.
Zurück zum Zitat Loop FD (1996) Internal-thoracic-artery grafts. Biologically better coronary arteries. N Engl J Med 334:263–265CrossRef Loop FD (1996) Internal-thoracic-artery grafts. Biologically better coronary arteries. N Engl J Med 334:263–265CrossRef
4.
Zurück zum Zitat Sorensen GL, Bladbjerg EM, Steffensen R, Tan Q, Madsen J, Drivsholm T et al (2015) Association between the surfactant protein D (SFTPD) gene and subclinical carotid artery atherosclerosis. Atherosclerosis 246:7–12CrossRef Sorensen GL, Bladbjerg EM, Steffensen R, Tan Q, Madsen J, Drivsholm T et al (2015) Association between the surfactant protein D (SFTPD) gene and subclinical carotid artery atherosclerosis. Atherosclerosis 246:7–12CrossRef
5.
Zurück zum Zitat Recio C, Oguiza A, Mallavia B, Lazaro I, Ortizmuñoz G, Lopezfranco O et al (2015) Gene delivery of suppressors of cytokine signaling (SOCS) inhibits inflammation and atherosclerosis development in mice. Basic Res Cardiol 110:1–11CrossRef Recio C, Oguiza A, Mallavia B, Lazaro I, Ortizmuñoz G, Lopezfranco O et al (2015) Gene delivery of suppressors of cytokine signaling (SOCS) inhibits inflammation and atherosclerosis development in mice. Basic Res Cardiol 110:1–11CrossRef
6.
Zurück zum Zitat Dubé JB, Hegele RA (2012) Genetics 100 for cardiologists: basics of genome-wide association studies. Can J Cardiol 29:10–17CrossRef Dubé JB, Hegele RA (2012) Genetics 100 for cardiologists: basics of genome-wide association studies. Can J Cardiol 29:10–17CrossRef
7.
Zurück zum Zitat Marian AJ, Belmont J (2011) Strategic approaches to unraveling genetic causes of cardiovascular diseases. Circ Res 108:1252CrossRef Marian AJ, Belmont J (2011) Strategic approaches to unraveling genetic causes of cardiovascular diseases. Circ Res 108:1252CrossRef
8.
Zurück zum Zitat Zaina S (2014) Unraveling the DNA methylome of atherosclerosis. Curr Opin Lipidol 25:148–153CrossRef Zaina S (2014) Unraveling the DNA methylome of atherosclerosis. Curr Opin Lipidol 25:148–153CrossRef
9.
Zurück zum Zitat Lund G, Zaina S (2013) Epigenetics and cardiovascular disease. In: Esteller M, Taylor and Francis Group LLC (eds) Epigenetics in Biology and Medicine, 1. Ed, CRC press, Boca Raton, pp 207–224 Lund G, Zaina S (2013) Epigenetics and cardiovascular disease. In: Esteller M, Taylor and Francis Group LLC (eds) Epigenetics in Biology and Medicine, 1. Ed, CRC press, Boca Raton, pp 207–224
10.
Zurück zum Zitat Geiman TM, Robertson KD (2002) Chromatin remodeling, histone modifications, and DNA methylation – how does it all fit together? J Cell Biochem 87:117–125CrossRef Geiman TM, Robertson KD (2002) Chromatin remodeling, histone modifications, and DNA methylation – how does it all fit together? J Cell Biochem 87:117–125CrossRef
11.
Zurück zum Zitat He Y, Cui Y, Wang W, Gu J, Guo S, Ma K et al (2011) Hypomethylation of the hsa-miR-191 locus causes high expression of hsa-mir-191 and promotes the epithelial-to-mesenchymal transition in hepatocellular carcinoma. Neoplasia 13:841–853CrossRef He Y, Cui Y, Wang W, Gu J, Guo S, Ma K et al (2011) Hypomethylation of the hsa-miR-191 locus causes high expression of hsa-mir-191 and promotes the epithelial-to-mesenchymal transition in hepatocellular carcinoma. Neoplasia 13:841–853CrossRef
12.
Zurück zum Zitat Huidobro C, Fernandez AF, Fraga MF (2013) The role of genetics in the establishment and maintenance of the epigenome. Cell Mol Life Sci 70:1543–1573CrossRef Huidobro C, Fernandez AF, Fraga MF (2013) The role of genetics in the establishment and maintenance of the epigenome. Cell Mol Life Sci 70:1543–1573CrossRef
13.
Zurück zum Zitat Zhao Y, Sun J, Zhang H, Guo S, Gu J, Wang W et al (2014) High-frequency aberrantly methylated targets in pancreatic adenocarcinoma identified via global DNA methylation analysis using methylCap-seq. Clin Epigenetics 6:1–14CrossRef Zhao Y, Sun J, Zhang H, Guo S, Gu J, Wang W et al (2014) High-frequency aberrantly methylated targets in pancreatic adenocarcinoma identified via global DNA methylation analysis using methylCap-seq. Clin Epigenetics 6:1–14CrossRef
14.
Zurück zum Zitat Findeisen HM, Kahles FK, Bruemmer D (2013) Epigenetic regulation of vascular smooth muscle cell function in atherosclerosis. Curr Atheroscler Rep 15:1–8CrossRef Findeisen HM, Kahles FK, Bruemmer D (2013) Epigenetic regulation of vascular smooth muscle cell function in atherosclerosis. Curr Atheroscler Rep 15:1–8CrossRef
15.
Zurück zum Zitat Lund G, Zaina S (2011) Atherosclerosis: an epigenetic balancing act that goes wrong. Curr Atheroscler Rep 13:208–214CrossRef Lund G, Zaina S (2011) Atherosclerosis: an epigenetic balancing act that goes wrong. Curr Atheroscler Rep 13:208–214CrossRef
16.
Zurück zum Zitat Nazarenko MS, Markov AV, Lebedev IN, Sleptsov AA (2013) DNA methylation profiling of the vascular tissues in the setting of atherosclerosis. Mol Biol (NY) 47:398–404 Nazarenko MS, Markov AV, Lebedev IN, Sleptsov AA (2013) DNA methylation profiling of the vascular tissues in the setting of atherosclerosis. Mol Biol (NY) 47:398–404
17.
Zurück zum Zitat Fernandez AF, Assenov Y, Martin-Subero JI, Balint B, Siebert R, Taniguchi H et al (2012) A DNA methylation fingerprint of 1628 human samples. Genome Res 22:407–419CrossRef Fernandez AF, Assenov Y, Martin-Subero JI, Balint B, Siebert R, Taniguchi H et al (2012) A DNA methylation fingerprint of 1628 human samples. Genome Res 22:407–419CrossRef
18.
Zurück zum Zitat Nazarenko MS, Markov AV, Lebedev IN, Freidin MB, Sleptcov AA, Koroleva IA et al (2014) A comparison of genome-wide DNA methylation patterns between different vascular tissues from patients with coronary heart disease. PLOS ONE 10:e122601CrossRef Nazarenko MS, Markov AV, Lebedev IN, Freidin MB, Sleptcov AA, Koroleva IA et al (2014) A comparison of genome-wide DNA methylation patterns between different vascular tissues from patients with coronary heart disease. PLOS ONE 10:e122601CrossRef
19.
Zurück zum Zitat Du P, Kibbe WA, Lin SM (2008) lumi: a pipeline for processing Illumina microarray. Bioinformatics 24:1547–1548CrossRef Du P, Kibbe WA, Lin SM (2008) lumi: a pipeline for processing Illumina microarray. Bioinformatics 24:1547–1548CrossRef
20.
Zurück zum Zitat Du P, Zhang X, Huang C‑C, Jafari N, Kibbe WA, Hou L et al (2010) Comparison of beta-value and M‑value methods for quantifying methylation levels by microarray analysis. BMC Bioinformatics 11:587CrossRef Du P, Zhang X, Huang C‑C, Jafari N, Kibbe WA, Hou L et al (2010) Comparison of beta-value and M‑value methods for quantifying methylation levels by microarray analysis. BMC Bioinformatics 11:587CrossRef
21.
Zurück zum Zitat Teschendorff AE, Marabita F, Lechner M, Bartlett T, Tegner J, Gomez-Cabrero D et al (2013) A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data. Bioinformatics 29:189–196CrossRef Teschendorff AE, Marabita F, Lechner M, Bartlett T, Tegner J, Gomez-Cabrero D et al (2013) A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data. Bioinformatics 29:189–196CrossRef
22.
Zurück zum Zitat Olson CF (1990) Parallel algorithms for hierarchical clustering. IEEE Trans Pattern Anal Mach Intell 12:1088–1092CrossRef Olson CF (1990) Parallel algorithms for hierarchical clustering. IEEE Trans Pattern Anal Mach Intell 12:1088–1092CrossRef
23.
Zurück zum Zitat Warnes GR, Bolker B, Bonebakker L, Gentleman R, Huber W, Liaw A et al (2009) gplots: various R programming tools for plotting data. R package version 2. Warnes GR, Bolker B, Bonebakker L, Gentleman R, Huber W, Liaw A et al (2009) gplots: various R programming tools for plotting data. R package version 2.
24.
Zurück zum Zitat da Huang W, Sherman BT, Lempicki RA (2009) Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc 4:44–57CrossRef da Huang W, Sherman BT, Lempicki RA (2009) Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc 4:44–57CrossRef
25.
Zurück zum Zitat Kanehisa M (2000) KEGG: kyoto encyclopedia of genes and genomes. Nucleic Acids Res 27(26):29–34 Kanehisa M (2000) KEGG: kyoto encyclopedia of genes and genomes. Nucleic Acids Res 27(26):29–34
26.
Zurück zum Zitat Dubchak I, Munoz M, Poliakov A, Salomonis N, Minovitsky S, Bodmer R et al (2013) Whole-Genome rVISTA: a tool to determine enrichment of transcription factor binding sites in gene promoters from transcriptomic data. Bioinformatics 29:2059–2061CrossRef Dubchak I, Munoz M, Poliakov A, Salomonis N, Minovitsky S, Bodmer R et al (2013) Whole-Genome rVISTA: a tool to determine enrichment of transcription factor binding sites in gene promoters from transcriptomic data. Bioinformatics 29:2059–2061CrossRef
27.
Zurück zum Zitat Organization WH (2011) Noncommunicable diseases and mental health: UN and WHO relevant resolutions Organization WH (2011) Noncommunicable diseases and mental health: UN and WHO relevant resolutions
28.
Zurück zum Zitat Grivennikov SI, Greten FR, Karin M (2010) Immunity, inflammation, and cancer. Cell 140:883–899CrossRef Grivennikov SI, Greten FR, Karin M (2010) Immunity, inflammation, and cancer. Cell 140:883–899CrossRef
29.
Zurück zum Zitat Turrin NP, Plata-Salamán CR (2000) Cytokine-cytokine interactions and the brain. Brain Res Bull 51:3–9CrossRef Turrin NP, Plata-Salamán CR (2000) Cytokine-cytokine interactions and the brain. Brain Res Bull 51:3–9CrossRef
30.
Zurück zum Zitat Aitoufella H, Taleb S, Mallat Z, Tedgui A (2011) Recent advances on the role of cytokines in atherosclerosis. Arterioscler Thromb Vasc Biol 31:969CrossRef Aitoufella H, Taleb S, Mallat Z, Tedgui A (2011) Recent advances on the role of cytokines in atherosclerosis. Arterioscler Thromb Vasc Biol 31:969CrossRef
31.
Zurück zum Zitat Seto SW, Krishna SM, Moran CS, Liu D, Golledge J (2014) Aliskiren limits abdominal aortic aneurysm, ventricular hypertrophy and atherosclerosis in an apolipoprotein-E-deficient mouse model. Clin Sci 127:123–134CrossRef Seto SW, Krishna SM, Moran CS, Liu D, Golledge J (2014) Aliskiren limits abdominal aortic aneurysm, ventricular hypertrophy and atherosclerosis in an apolipoprotein-E-deficient mouse model. Clin Sci 127:123–134CrossRef
32.
Zurück zum Zitat Goldschmidtclermont PJ, Dong C, Seo DM, Velazquez OC (2012) Atherosclerosis, inflammation, genetics, and stem cells: 2012 update. Curr Atheroscler Rep 14:201–210CrossRef Goldschmidtclermont PJ, Dong C, Seo DM, Velazquez OC (2012) Atherosclerosis, inflammation, genetics, and stem cells: 2012 update. Curr Atheroscler Rep 14:201–210CrossRef
33.
Zurück zum Zitat Li H, Peng W, Zhuang J, Lu Y, Jian W, Wei Y et al (2013) Vaspin attenuates high glucose-induced vascular smooth muscle cells proliferation and chemokinesis by inhibiting the MAPK, PI3K/Akt, and NF-κB signaling pathways. Atherosclerosis 228:61–68CrossRef Li H, Peng W, Zhuang J, Lu Y, Jian W, Wei Y et al (2013) Vaspin attenuates high glucose-induced vascular smooth muscle cells proliferation and chemokinesis by inhibiting the MAPK, PI3K/Akt, and NF-κB signaling pathways. Atherosclerosis 228:61–68CrossRef
34.
Zurück zum Zitat Sun B, Chen Z, Gu J, Tse G, Jiang J, Huang F et al (2016) Tight junction proteins and gap junction proteins play important roles in high fat dietary atherosclerosis pathogenesis. Int J Clin Exp Pathol 9:7969–7976 Sun B, Chen Z, Gu J, Tse G, Jiang J, Huang F et al (2016) Tight junction proteins and gap junction proteins play important roles in high fat dietary atherosclerosis pathogenesis. Int J Clin Exp Pathol 9:7969–7976
35.
Zurück zum Zitat Weber C, Noels H (2011) Atherosclerosis: current pathogenesis and therapeutic options. Nat Med 17:1410–1422CrossRef Weber C, Noels H (2011) Atherosclerosis: current pathogenesis and therapeutic options. Nat Med 17:1410–1422CrossRef
36.
Zurück zum Zitat Surette AP, Waisman DM (2014) S100A10: a key regulator of fibrinolysis. In: Kolev K (ed) Fibrinolysis and thrombolysis. InTech, Rijeka Surette AP, Waisman DM (2014) S100A10: a key regulator of fibrinolysis. In: Kolev K (ed) Fibrinolysis and thrombolysis. InTech, Rijeka
37.
Zurück zum Zitat Hansson GK (2005) Inflammation, atherosclerosis, and coronary artery disease. N Engl J Med 352(16):1685–1695CrossRef Hansson GK (2005) Inflammation, atherosclerosis, and coronary artery disease. N Engl J Med 352(16):1685–1695CrossRef
38.
Zurück zum Zitat Goyette J, Yan WX, Yamen E, Chung YM, Lim SY, Hsu K et al (2009) Pleiotropic roles of S100A12 in coronary atherosclerotic plaque formation and rupture. J Immunol 183:593–603CrossRef Goyette J, Yan WX, Yamen E, Chung YM, Lim SY, Hsu K et al (2009) Pleiotropic roles of S100A12 in coronary atherosclerotic plaque formation and rupture. J Immunol 183:593–603CrossRef
39.
Zurück zum Zitat Karin M, Benneriah Y (2000) Phosphorylation meets ubiquitination: the control of NF-κB activity. Annu Rev Immunol 18:621–663CrossRef Karin M, Benneriah Y (2000) Phosphorylation meets ubiquitination: the control of NF-κB activity. Annu Rev Immunol 18:621–663CrossRef
40.
Zurück zum Zitat Gareus R, Kotsaki E, Xanthoulea S, Van der Made I, Gijbels MJ, Kardakaris R et al (2008) Endothelial cell-specific NF-kappaB inhibition protects mice from atherosclerosis. Cell Metab 8:372CrossRef Gareus R, Kotsaki E, Xanthoulea S, Van der Made I, Gijbels MJ, Kardakaris R et al (2008) Endothelial cell-specific NF-kappaB inhibition protects mice from atherosclerosis. Cell Metab 8:372CrossRef
Metadaten
Titel
Genome-wide DNA methylation patterns in coronary heart disease
Publikationsdatum
07.09.2017
Erschienen in
Herz / Ausgabe 7/2018
Print ISSN: 0340-9937
Elektronische ISSN: 1615-6692
DOI
https://doi.org/10.1007/s00059-017-4616-8

Weitere Artikel der Ausgabe 7/2018

Herz 7/2018 Zur Ausgabe

Das Risiko für Vorhofflimmern in der Bevölkerung steigt

02.05.2024 Vorhofflimmern Nachrichten

Das Risiko, im Lauf des Lebens an Vorhofflimmern zu erkranken, ist in den vergangenen 20 Jahren gestiegen: Laut dänischen Zahlen wird es drei von zehn Personen treffen. Das hat Folgen weit über die Schlaganfallgefährdung hinaus.

VHF-Ablation nützt wohl nur bei reduzierter Auswurfleistung

02.05.2024 Ablationstherapie Nachrichten

Ob die Katheterablation von Vorhofflimmern bei Patienten mit Herzinsuffizienz die Komplikationsraten senkt, scheint davon abzuhängen, ob die Auswurfleistung erhalten ist oder nicht. Das legen die Ergebnisse einer Metaanalyse nahe.

Weniger Extremitätenischämien mit dualer Plättchenhemmung

02.05.2024 Thrombozytenaggregationshemmer Nachrichten

Eine Behandlung mit Ticagrelor zusätzlich zu ASS kann das Risiko für Revaskularisierungen und Amputationen von Extremitäten bei Diabetikern mit stabiler KHK deutlich reduzieren, vor allem für solche mit PAVK. Dafür spricht eine Auswertung der Interventionsstudie THEMIS.

Beutel versus Maschine: Beste Beatmungstechnik bei Herzstillstand gesucht

02.05.2024 Kardiopulmonale Reanimation Nachrichten

Stehen die Chancen auf eine Rückkehr der Spontanzirkulation nach Herz-Kreislauf-Stillstand bei manueller oder maschineller Beatmung besser? Und unterscheidet sich das neurologische Outcome nach der Reanimation? Das belgische Herzstillstand-Register liefert die Daten für einen direkten Vergleich zwischen Beutel und Beatmungsgerät.

Update Kardiologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.