Polymorphisms in Acute Coronary Syndrome
Viviane do Carmo Vasconcelos de Carvalho1,
Maria José Ribeiro Bezerra1, Lílian
Caroliny Amorim Silva1, Alex José de Melo Silva1,
Fábia Carla da Silva Soares1,
Sávio Augusto Vieira de Oliveira1, Roberto Pereira Werkhauser1, Carlos Gustavo Regisda Silva2, Clarice Neuensch wander Lins
de Morais3, Adriana Vieira Gomes4, Silvia Maria Lucena Montenegro1*
2 Laboratory of Parasitic Biology, Gonçalo Moniz Research
Center, Brazil
3Department of Virology, Aggeu Magalhães Institute, Brazil
4 Faculty of Medical Sciences , University of Pernambuco, Brazil
*Corresponding author: Silvia Maria Lucena
Montenegro,
Department of Immunology, Aggeu Magalhães Institute, Brazil, Tel: +55 (81) 2101-2565; Email: silvia@cpqam.fiocruz.br
Received Date: 15 June, 2017; Accepted Date: , 18 June, 2017; Published Date: 22 June, 2017
Citation: Vasconcelos de Carvalho VDC, Bezerra MJR, Silva LCA, Melo Silva AJD, Silva Soares FCD, et al. (2017) Polymorphisms in Acute Coronary Syndrome. Biomark Applic 2017: BMAP104. DOI: 10.29011/BMAP-104. 100104
Background: Because of their effects on inflammatory processes,
some genes are candidates for association with Acute Coronary Syndrome (ACS).
While a relationship between Single Nucleotide Polymorphisms (SNP) and ACS has
been suggested in some populations, but not in others, genotype
characterization of genes related to inflammatory reactions, becomes necessary
for specific populations.
Aim: In this study, we evaluate IL6 (rs1800795), LEPR (rs6700896) and IL1b (rs16944) SNPs in a healthy population and compare the frequencies with other populations to characterize them in a region of Brazil and investigate the role of SNPs as prognostic markers in the development of ACS in futures studies.
Methods: IL6, LEPR and IL1b genes were genotyped in 295 blood donors from Fundação de Hematologia e Hemoterapia de Pernambuco. Genotyping was carried out by polymerase chain reaction, followed by DNA sequencing or enzymatic cleavage. G Williams test and odds ratio with confidence intervals of 95% were used. The significance value was p < 0.05.
Results: There was no difference in genotype distribution between gender or age groups. Genotypic and allelic frequencies were similar between Brazilian populations but different from most other population’s analyzed (p < 0.05).
Conclusions: Genotypic characterization of genes that can influence the development of ACS is important, since it can provide a tool for future studies in the use of genetic markers in prevention and diagnosis of diseases.
Keywords: Acute Coronary Syndrome; Blood Donors; Prognostic Markers; Polymerase Chain Reaction; Single Nucleotide Polymorphisms
1. Discussion
A study of data of Dyslipidemia, smoking, alcohol,
physical inactivity and family history would be important in order to relate
with genetic polymorphisms, and thus provide a better assessment of the risk of
developing ACS.
The authors thank the Instituto Aggeu Magalhães/Fiocruz core-facilities laboratories for the use of its technologies, the blood donors from Hemope who agreed to participate in this study and Audrey Violeta Martins de Vasconcelos for allowing access to Hemope.
Polymorphisms |
Primers |
Amplification conditions |
Fragments sizes (bp) |
References |
||
IL6 (rs1800795) |
F: 5’ AGC CTC AAT GAC GAC CTA AGC 3’ R: 5’ ACT GGA GAT GTC TGA GGC TCA TT 3’ |
94°C – 2 min
65°C – 1 min 68°C – 1 min 65°C – 5 min
|
226 |
[10] Adapted |
||
LEPR (rs6700896) |
F: 5´ GCC CTT CTT TCC TCA AGC CTT CC 3’
R: 5’ GCT CCA AAG CCA GAC AAA CTG GT 3’ |
95°C – 5 min
68°C – 30 seg 55°C – 30 seg 68°C – 5 min
|
515 |
[12] Adapted |
||
IL1 (rs1694) |
F: 5’ TGG CAT TGA TCT GGT TCA TC 3’
R: 5’ GTT TAG GAA TCT TCC CAC TT 3’ |
94°C – 5 min
55°C – 40 seg 72°C – 40 seg 74°C – 7 min
|
304 |
[13] Adapted |
Table 1: Sequence of primers and amplification conditions for each polymorphism
Polymorphisms |
Gender n = 295 |
p |
Age n = 295 |
p |
||
Genotypes |
Male n = 244 (%) |
Female n = 51 (%) |
≤ 47 years n = 179 (%) |
> 47 years n = 116 (%) |
||
IL6 (rs 1800795) |
|
|
|
|
|
|
GG |
148 (60.6) |
28 (55.0) |
0.63 |
103 (57.5) |
75 (64.6) |
0.2 |
GC |
84 (34.4) |
19 (37.2) |
68 (38.0) |
33 (28.5) |
||
CC |
12 (5.0) |
4 (7.8) |
8 (4.5) |
8 (6.9) |
||
Alleles |
|
|
|
|
|
|
G |
380 (77.9) |
75 (73.5) |
|
274 (76.5) |
183 (78.9) |
|
C |
108 (22.1) |
27 (26.5) |
|
84 (24.5) |
49 (21.1) |
|
LEPR (rs 6700896) |
|
|
|
|
|
|
CC |
73 (29.9) |
23 (45.1) |
0.09 |
60 (33.5) |
36 (31.0) |
0.96 |
CT |
133 (54.5) |
20 (39.2) |
94 (52.5) |
59 (50.9) |
||
TT |
38 (15.6) |
08 (15.7) |
25 (14.0) |
21 (18.1) |
||
Alleles |
|
|
|
|
|
|
C |
279 (57.2) |
66 (64.7) |
|
214 (67.3) |
131 (56.5) |
|
T |
209 (42.8) |
36 (35.3) |
|
144 (40.2) |
101 (43.5) |
|
IL1 (rs 16944) |
|
|
|
|
|
|
CC |
75 (30.8) |
13 (30.2) |
0.96 |
57 (31.8) |
33 (28.4) |
0.44 |
CT |
114 (46.7) |
21 (48.8) |
87 (48.6) |
53 (45.7) |
||
TT |
55 (22.5) |
9 (21.0) |
35 (19.6) |
30 (25.9) |
||
Alleles |
|
|
|
|
|
|
C |
264 (54.1) |
47 (46.1) |
|
201 (56.1) |
119 (53.3) |
|
T |
224 (45.9) |
39 (38.2) |
|
157 (43.8) |
113 (48.7) |
|
p - G Williams Test
Table 2: Genotypic frequencies of polymorphisms in IL-6, IL-1, LEPR and IL-1 according to gender and age
Polymorphisms |
Country |
n |
Genotype frequencies n(%) |
p |
Allele frequencies n(%) |
p |
|||
|
|
|
GG |
GC |
CC |
|
G |
C |
|
IL6 (rs1800795) |
Brazil - NorthEast |
295 |
176 (59.4) |
103 (35.3) |
16 (5.3) |
Reference |
455 (77.1) |
135 (22.9) |
Reference |
Brazil - Amazon |
77 |
49 (63.64) |
23 (29.87) |
5 (6.49) |
0.6934 |
121 (78.6) |
33 (21.4) |
0.7005 |
|
Portugal |
735 |
319 (43.4) |
324 (44.1) |
92 (12.5) |
< 0.0001 |
962 (65.4) |
508 (34.6) |
< 0.0001 |
|
Malaysia |
100 |
12 (12.0) |
81 (81.0) |
7 (7.0) |
< 0.0001 |
105 (52.5) |
95 (47.5) |
< 0.0001 |
|
Italy |
112 |
45 (40.2) |
51 (45.5) |
16 (14.3) |
0.0005 |
141 (62.9) |
83 (37.1) |
< 0.0001 |
|
China |
331 |
329 (99.4) |
1 (0.3) |
1 (0.3) |
< 0.0001 |
659 (99.5) |
3 (0.5) |
< 0.0001 |
|
Mexico |
102 |
80 (78.4) |
20 (19.6) |
2 (2.0) |
0.002 |
180 (88.2) |
24 (11.8) |
0.0004 |
|
|
|
CC |
CT |
TT |
|
C |
T |
|
|
LEPR (rs6700896) |
Brazil - NorthEast |
295 |
96 (32.5) |
153 (51.9) |
45 (15.6) |
Reference |
345 (58.5) |
243 (41.2) |
Reference |
China |
109 |
5 (4.6) |
24 (22.1) |
80 (73.4) |
< 0.0001 |
34 (15.6) |
184 (84.4) |
< 0.0001 |
|
Egypt |
30 |
30 (100.0) |
0 (0.0) |
0 (0.0) |
< 0.0001 |
60 (100.0) |
0 (0.0) |
< 0.0001 |
|
|
|
CC |
CT |
TT |
|
C |
T |
|
|
IL1 (rs16944) |
Brazil - NorthEast |
295 |
91 (30.8) |
138 (46.8) |
66 (22.4) |
Reference |
320 (54.2) |
270 (45.8) |
Reference |
Brazil - Rio de Janeiro |
44 |
17 (38.7) |
23 (52.3) |
4 (9.0) |
0.0875 |
57 (64.8) |
31 (35.2) |
0.062 |
|
Portugal |
735 |
327 (44.5) |
309 (42.0) |
99 (13.5) |
< 0.0001 |
963 (65.5) |
507 (34.5) |
< 0.0001 |
|
Germany |
94 |
43 (45.8) |
41 (43.6) |
10 (10.6) |
0.0051 |
127 (67.5) |
61 (32.5) |
0.0012 |
|
Italy |
205 |
90 (43.9) |
89 (43.4) |
26 (12.7) |
0.002 |
269 (65.6) |
141 (34.4) |
0.0003 |
|
Malaysia |
60 |
13 (21.6) |
22 (36.7) |
25 (41.7) |
0.01 |
48 (40.0) |
72 (60.0) |
0.0045 |
|
Korea |
364 |
61 (16.8) |
194 (53.3) |
109 (29.9) |
< 0.0001 |
316 (43.4) |
412 (56.6) |
< 0.0001 |
n - Number of subjects; p - G Williams Test
Table 3: Distribution of genotype frequencies of polymorphisms in different healthy populations
- Nelson DL (2001) SNPs, lonkage disequilibrium, human genetic variation and Native American culture. Trends Genet 17:15-16.
- Nielsen R (2004) Population genetic analysis of ascertained SNP data. Hum Genomics 1:218-224.
- Hijikata M, Matsushita I, Hang NT, Maeda S, Thuong PH, et al. (2014) Age-dependent association of mannose-binding lectin polymorphisms with the development of pulmonary tuberculosis in Viet Nam. Hum Immunol 75:840-846.
- Asano NM, Angelo HD, da Silva HA, et al. (2013) Interleukin-6 promoter polymorphisms -174 G/C in Brazilian patients with systemic lupus erythematosus. Hum Immunol 74:1153-1156.
- Libby P (2002) Inflammation in atherosclerosis. Nature 420:868-874.
- Hamm CW, Crea F (2014) The year in cardiology 2013: acute coronary syndromes. Eur Heart J 35:349-352.
- Franchini M, Peyvandi F, Mannucci PM (2008) The genetic basis of coronary artery disease: from candidate genes to whole genome analysis. Trends Cardiovasc Med 18:157-162.
- Elliott P, Chambers JC, Zhang W, Clarke R, Hopewell JC, et al. (2009) Genetic Loci associated with C-reactive protein levels and risk of coronary heart disease. JAMA 302:37- 48.
- Rios DL, Cerqueira CC, Bonfim-Silva R, Araújo LJ, Pereira JF, et al. (2010) Interleukin-1 beta and interleukin-6 gene polymorphism associations with angiographically assessed coronary artery disease in Brazilians. Cytokine 50:292-296.
- Tonet AC, Karnikowski M, Moraes CF, Gomes1L, Karnikowski MGO, et al. (2008) Association between the -174 G/C promoter polymorphism of the interleukin-6 gene and cardiovascular disease risk factors in Brazilian older women. Braz J Med Biol Res 41:47-53.
- Parra FC, Amado RC, Lambertucci Jr, Jorge Rocha, Carlos MA, et al. (2003) Color and genomic ancestry in Brazilians. Proc Natl Acad Sci USA 100:177-182.
- Swellam M, Hamdy N (2012) Association of nonalcoholic fatty liver disease with a single nucleotide polymorphism on the gene encoding leptin receptor. IUBMB Life 64:180-186.
- Vohnout B, Di Castelnuovo A, Trotta R, D'Orazi A, Panniteri G, et al. (2003) Interleukin-1 gene cluster polymorphisms and risk of coronary artery disease. Haematologica 88:54-60.
- Ayres M, Ayres M Jr, Ayres DL, Alex D, Santos, et al. (2007) BioEstat5.0: aplicações estatísticas nas áreas das ciências biomécias. Belem (PA): Brasil. 1-324.
- Mendonca VR, Souza LC, Garcia GC, Magalhães BM, Lacerda MV, et al. (2014) DDX39B (BAT1), TNF and IL6 gene polymorphisms and association with clinical outcomes of patients with Plasmodium vivax malaria. Malar J 19;13-278.
- Trevilatto PC, de Souza Pardo AP, Scarel-Caminaga RM, de Brito RB Jr, Alvim-Pereira F, et al. (2011) Association of IL1 gene polymorphisms with chronic periodontitis in Brazilians. Arch Oral Biol 56:54-62.
- Duraes C, Moreira CS, Alvelos I, Mendes A, Santos LR, et al. (2014) Polymorphisms in the TNFA and IL6 genes represent risk factors for autoimmune thyroid disease. PLoS One 9: e105492.
- Chua KH, Kee BP, Tan SY, Lian LH (2009) Interleukin-6 promoter polymorphisms (-174 G/C) in Malaysian patients with systemic lupus erythematosus. Braz J Med Biol Res 42: 551-555.
- Boiardi L, Casali B, Farnetti E, Pipitone N, Nicoli D, et al. (2006) Relationship between interleukin 6 promoter polymorphism at position -174, IL-6 serum levels, and the risk of relapse/recurrence in polymyalgia rheumatica. J Rheumatol 33: 703-708.
- Li F, Xu J, Zheng J, Jeremy Soko love, Kai Zhu, et al. (2014) Association between interleukin-6 gene polymorphisms and rheumatoid arthritis in Chinese Han population: a case-control study and a meta-analysis. Sci Rep 4: 5714.
- Zavaleta-Muniz SA, Martin-Marquez BT, Gonzalez-Lopez L, Gonzalez-Montoya NG, Díaz-Toscano ML, et al. (2013) The -174G/C and -572G/C interleukin 6 promoter gene polymorphisms in mexican patients with rheumatoid arthritis: a case-control study. Clin Dev Immunol 2013: 959084.
- Jin SG, Chen GL, Yang SL, Zhao MY (2015) Gene-gene interactions among CX3CL1, LEPR and IL-6 related to coronary artery disease in Chinese Han population. Int J Clin Exp Pathol 8: 5968-5973.
- Wex T, Leodolter A, Bornschein J, Kuester D, Kähne T, et al. (2010) Interleukin 1 beta (IL1B) gene polymorphisms are not associated with gastric carcinogenesis in Germany. Anticancer Res 30: 505-511.
- Yang Q, Chen Y, Yong W (2013) FOXP3 genetic variant and risk of acute coronary syndrome in Chinese Han population. Cell Biochem Funct 31: 599-602.
- Kang S, Kim JW, Park NH, Song YS, Park SY, et al. (2007) Interleukin-1 beta-511 polymorphism and risk of cervical cancer. J Korean Med Sci 22: 110-113.
- Golding J, Northstone K, Miller LL, Davey Smith G, Pembrey M (2013) Differences between blood donors and a population sample: implications for case-control studies. Int J Epidemiol 42:1145-1156.
- Swirta JS, Krzemien-Grandys M, Toton-Zuranska J, Kuś K, Olszanecki R, et al. (2015) Polymorphism rs7023923 and monocyte count in blood donors and coronary artery disease patients. Kardiol Pol73: 445-450.
- Chiappelli M, Tampieri C, Tumini E, Porcellini E, Caldarera CM, et al. (2005) Interleukin-6 gene polymorphism is an age-dependent risk factor for myocardial infarction in men. Int J Immunogenet 32: 349-353.
- Iacoviello L, Di Castelnuovo A, Gattone M, Pezzini A, Assanelli D, et al. (2005) Polymorphisms of the interleukin-1beta gene affect the risk of myocardial infarction and ischemic stroke at young age and the response of mononuclear cells to stimulation in vitro. Arterioscler Thromb Vasc Biol 25: 222-227.
- Satti HS, Hussain S, Javed Q (2013) Association of Interleukin-6 Gene Promoter Polymorphism with Coronary Artery Disease in Pakistani Families. Scientific World Journal.
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