Skip to main content

ATP-sensitive potassium channels gene polymorphism rs1799858 affects the risk of macro-/micro-vascular arteriosclerotic event in patients with increased low-density lipoprotein cholesterol levels

Abstract

Background

Plasma concentration of low-density lipoprotein cholesterol (LDL-C) is causally related to the risk of arteriosclerotic events. Whether ATP-sensitive potassium channels (KATP) genetic variants predict increased LDL-C concentration (≥1.8 mmol/L) and risk of macro-/micro-vascular arteriosclerotic event remain elusive.

Methods

A total of 320 subjects with increased LDL-C concentration (≥1.8 mmol/L) and 320 counterpart subjects (< 1.8 mmol/L) from the South China were enrolled in this study. Three KATP polymorphisms (rs1799858, rs4148671 and rs78148713) were genotyped by the Sequenom MassARRAY system. Binary logistic regression analysis was used to evaluate the association of the 3 KATP variants with increased LDL-C concentration and carotid artery stenosis (CAS) ≥50%. Two-way ANOVA was used to analyze the association of the 3 KATP variants with microalbumin in urine (MAU) and high-sensitivity C-reactive protein (HsCRP) levels. Cox proportional hazards regression analysis was used to retrospectively analyse the association of the optimal variant with the risk of new onset/recurrent acute myocardial infarction (AMI).

Results

Among the 3 studied KATP gene single nucleotide polymorphisms (SNPs), only rs1799858 (TT + CT genotype) was associated with elevated risk of LDL-C ≥ 1.8 mmol/L (adjusted OR = 2.25, 95% CI: 1.31–3.85, P = 0.003) and CAS ≥50% (adjusted OR = 2.80, 95% CI: 1.12–6.98, P = 0.028). KATP SNP rs1799858 was also associated with increased MAU (P = 0.013) and HsCRP (P = 0.027) levels. The follow-up for an average of 51.1-months revealed that participants carrying the T-allele (TT + CT) of rs1799858 was associated with high risk of new onset/recurrent AMI (adjusted HR = 2.90, 95% CI: 1.06–7.94, P = 0.038).

Conclusion

The KATP SNP rs1799858 may be an optimal genetic predisposition marker for increased LDL-C concentration (≥1.8 mmol/L) and its related macro-/micro-vascular arteriosclerotic event risk. The KATP variant rs1799858 was associated with higher risk of macro-/micro-vascular arteriosclerotic events in patients with elevated serum LDL-C levels.

Background

The low-density lipoprotein cholesterol (LDL-C) is considered “bad” cholesterol because an increase in its plasma concentration is an independent risk factor for atherosclerotic cardiovascular events, which is still a major global health problem [1]. Decreased LDL-C level was significantly associated with decreased risk for macro-/micro-vascular arteriosclerotic events. A couple of the methods such as dietary control, bowel surgery and lipid-lowering drugs (especially statins) are currently used for reducing LDL-C level. However, despite achieving both a lower target of < 1.8 mmol/L and an LDL-C reduction of at least 50% from the currently recommended baseline (LDL-C is between 1.8 and 3.5 mmol/L) [2], high residual risk remains in patients receiving intensive statin therapies [3]. The Mendelian randomization showed that moderate decrease in LDL-C levels (1.0 mmol/L) prevent the development of cardiovascular disease during up to 30 years of follow-up, but it is also affected by mutations in lipid metabolism-related genes [4]. These suggest that statin therapy decreases the incidence of cardiovascular events, but the benefits may be dampened or offset by high genetic risks [5]. Thus, early genetic risk identification of populations at higher risk of increased LDL-C levels will provide a possible measure for early prevention from arteriosclerotic events.

Many candidate genes have been implicated in predisposition to increased levels of LDL-C. In recent years genes of the ATP-sensitive potassium channels (KATP) have received lots of attention. KATP is a type of potassium channel, which are hetero-octameric protein complexes comprising 4 pore-forming subunits (inwardly-rectifying K+ channel, Kir6.x) and 4 regulatory subunits (sulfonylurea receptor, SURx), and are widely present in the heart, skeletal muscles, vascular smooth muscles, brain and pancreatic β-cells. KATP are not only critical high-fidelity metabolic sensors but also key end effectors of ischemic protection (especially in cardiac and cerebral ischemia) [6]. Hence, KATP, as gated channels coupling metabolism with ischemic protection, have become a promising new prevention and treatment target for atherosclerotic cardiovascular disease (ASCVD). The obligate octameric arrangement result from coregulation of expression on inward-rectifier potassium channel (Kir6.x) subunits (Kir6.1 and Kir6.2, encoded respectively by KCNJ8 and KCNJ11) and sulfonylurea receptor (SURx) subunits (SUR1 and SUR2, encoded respectively by ABCC8 and ABCC9) [7]. KCNJ8 and ABCC9 are immediately adjacent to one another on human chromosome 12p12.1, whereas KCNJ11 and ABCC8 are directly adjacent to each other on human chromosome 11p15.1. The KATP subunit constitution may change with different physiological or pathological conditions, resulting from alternative splicing of the 4 coding genes, which produce different subunits that varies in function under different conditions. In rat model the increased plasma triglyceride (TRIG) levels were reduced by a KATP opener [8], and high-fat diet-feeding induced elevation in plasma TRIG and TRIG-rich very-low-density lipoproteins were restored by direct activation of KATP via the hepatic vagus [9]. ATP-binding cassette transporter A1 (ABCA1) is the key regulator of high-density lipoprotein cholesterol (HDL-C) [10] and apolipoprotein AI (Apo AI) [11] metabolism, while the SUR1 subunit is the same structure as ABCA1 and belongs to ATP-binding cassette superfamily, which has similar functions to ABCA1 in regulating HDL-C metabolism [10]. On the other hand, Ling et al. [12] found that the up-regulation of KATP in monocytes/macrophages correlated with increased inflammation in vulnerable plaques. Fan et al. [13] also found that smoking induced atherosclerosis was rescued by the inhibition of KATP. In rat model of myocardial infarction (MI) the cardiac protective effect of dodecafluoropentane emulsion was shown to be KATP-dependent [14], and the KATP activation by nicorandil significantly reduced the incidence of all cardiovascular events (including cardiovascular death, non-fatal MI, non-fatal stroke, or unplanned hospital admission for cardiac chest pain, etc) by 14% in patients with stable angina during 1.6-year follow up [15]. In a rat model of ischemic stroke there was larger infarct areas and more severe brain edema and neurological deficits due to astrocytic Kir6.1 knockout [16]. These suggest that KATP is an important link in the development from dyslipidemia to macro-/micro-vascular arteriosclerotic diseases.

Importantly, the KATP gene exhibits characteristics with high level of genetic polymorphism. KATP polymorphisms not only associated with dyslipidemia (e.g., higher levels of triglyceride (TIRG), total cholesterol (TC) and LDL-C as well as lower HDL-C) [17,18,19], essential hypertension (EH) [20] and ASCVD (e.g., MI and stroke) [21, 22] but also exhibited geographical and ethnic diversity (e.g., Africans, Europeans, East Asians). However, the relationship of KATP single nucleotide polymorphisms (SNPs) with increased LDL-C levels and its related macro-/micro-vascular arteriosclerotic events in China is rarely reported. Theoretically, there is a common genetic basis for dyslipidemia, EH and its related atherosclerotic cardiovascular events [23, 24]. The present study was undertaken to investigate the possible relationships of KATP gene SNPs with the risk of increased LDL-C levels (≥1.8 mmol/L) and macro-/micro-vascular arteriosclerotic events in South China.

Materials and methods

Study participants

This study was by the Ethics Committee of Guangzhou First People’s Hospital, School of Medicine, South China University of Technology (K-2017-043-02). A total of 320 subjects with increased LDL-C level (≥1.8 mmol/L) and 320 counterpart subjects (< 1.8 mmol/L) from the South China were enrolled in the study. All participants with different types of dyslipidemia were newly diagnosed according to guidelines [2], including high levels of LDL-C (≥1.8 mmol/L), TRIG (≥1.7 mmol/L), TC (≥5.2 mmol/L) or (and) apolipoprotein B (Apo B ≥ 80 mg/dL), and (or) low levels of HDL-C (< 1.0 mmol/L) and Apo AI (< 120 mg/dL). All participants with the coexisting EH, coronary atherosclerotic heart disease (CAD), type 2 diabetes mellitus (T2D) or (and) atrial fibrillation (AF) were also recently diagnosed according to relevant guidelines (details guidelines information was presented in methods section of Additional file 1). Clinical data were collected from patient interviews, review of medical records and contact with treating physicians. All blood biochemistry analysis was conducted on admission to the study by using standard analytical techniques. Cardiac and bilateral carotid ultrasonography were performed on admission to the study according to the recommendations from the American Society of Echocardiography [25] and the North American Symptomatic Carotid Endarterectomy Trial [26], respectively.

Genotyping assay

Three KATP SNPs (rs1799858, rs4148671 and rs78148713) were genotyped using the MassARRAY system (Sequenom) according to the manufacturer’s instructions with minor modifications based on literatures and human genome sequence databases [27]. Primers for the 3 KATP SNPs were designed based upon sequence information from GenBank using Primer 5.0 (Whitehead Institute Cambridge, Massachusetts, USA) according to the KATP gene sequence in GenBank [NC_000011.10, NC_000012.12 and NC_000012.11 (Additional file 1: Table S1)]. The primers were synthesized by Invitrogen Life Science Technologies (Guangzhou, China). The accuracy of the genotypes determined was 100% for each KATP SNP as described above.

Long-term follow-up endpoint

Primary outcome was new onset/recurrent acute myocardial infarction (AMI) including ST segment elevation MI and non ST segment elevation MI [28], and was diagnosed according to the guidelines at the time. The following three types of information sources were used to identify the primary outcome: participants and their families, medical records and the Center for Disease Control and Prevention. Patients were enrolled in the study from the date of first diagnosis of dyslipidemia, EH, CAD, T2D or (and) AF. Moreover, patient’s AMI-free event survival time was calculated from the date of entry to the date of first diagnosis AMI, recurrent AMI or last follow-up. The date of final follow-up was December 31, 2019.

Statistical analysis

All analysis was using SPSS version 24 (SPSS, Chicago, IL). The Hardy-Weinberg equilibrium was assessed with a Chi-square test for control subjects as shown in Additional file 1: Table S2. Categorical variables [gender, smoking, drinking, EH, CAD, T2D, AF, high LDL-C (≥1.8 mmol/L), high TRIG (≥1.7 mmol/L), high TC (≥5.2 mmol/L), low HDL-C (< 1.0 mmol/L), high Apo B (≥80 mg/dL), low Apo AI (< 120 mg/dL), carotid artery stenosis (CAS) ≥50% and new-onset/recurrent AMI] were presented as frequencies. The associations between each KATP SNP and these categorical variables were analyzed using the Chi square test. Binary logistic regression analysis was used to evaluate the Odds ratio (OR) of these types of dyslipidemia and CAS ≥50%. Given that false positive might exist in the results, Bonferroni adjustment was used to adjust the significance thresholds for multinomial logistic regression. The Cox proportional hazards regression analysis for event free analysis of new onset/recurrent AMI was used to estimate the crude and adjusted hazard ratios (HRs) as well as the 95% confidence intervals (CIs) with adjustments for potential covariates. Continuous variables were presented as mean ± SD. The differences between continuous variables between the two groups were evaluated by two-way ANOVA or independent-sample t-test. P values of less than 0.05 were considered as statistically significant. All probabilities are two-tailed estimated.

Result

Characteristics of the study participants

As shown in Table 1, participants with or without increased LDL-C level (≥1.8 mmol/L) showed significant differences in the levels of TRIG (P = 0.003), TC (P < 0.001), Apo B (P < 0.001), microalbumin in urine (MAU, P < 0.001) and high-sensitivity C-reactive protein (HsCRP, P = 0.009).

Table 1 Baseline characteristics of study participants

Association between KATP SNPs and elevated LDL-C (≥1.8 mmol/L)

As shown in Table 2, KATP SNP rs1799858 (TT + CT genotype) was associated with elevated risk of high LDL-C (≥1.8 mmol/L) levels (adjusted OR = 2.25, 95% CI: 1.31–3.85, P = 0.003).

Table 2 Association between KATP SNPs and elevated LDL-C (≥1.8 mmol/L) in study participants

Association between KATP SNPs and CAS ≥50%

As shown in Table 3, KATP SNP rs1799858 (TT + CT genotype) was associated with increased risk of CAS ≥50% (adjusted OR = 2.80, 95% CI: 1.12–6.98, P = 0.028).

Table 3 Association between KATP SNPs and CAS ≥50% in study participants

Association between KATP SNPs and MAU level

As shown in Table 4, participants with the increased LDL-C risk genotype of rs1799858 (TT + CT) was associated with elevated MAU level (P = 0.001 and < 0.001) whereas rs4148671 (both P > 0.05) and rs78148713 (both P > 0.05) were not significantly associated.

Table 4 Association between KATP SNPs and MAU level in participants

Association between KATP SNPs and HsCRP level

As shown in Table 5, participants with the increased LDL-C risk genotype of rs1799858 (TT + CT) was associated with elevated HsCRP level (P = 0.018 and 0.008) whereas rs4148671 (both P > 0.05) and rs78148713 (both P > 0.05) were not significantly associated.

Table 5 Association between KATP SNPs and HsCRP level in participants

Association between KATP SNP rs1799858 and new-onset/recurrent AMI

As shown in Fig. 1, participants carrying T-allele (TT + CT) of rs1799858 was associated with higher risk of new-onset/recurrent AMI (adjusted HR = 2.90, 95% CI: 1.06–7.94, P = 0.038) during an average follow-up of 51.1-months.

Fig. 1
figure 1

Association between KATP rs1799858 and new-onset/recurrent AMI in participants*. *Model 4: After adjustment for gender, age, smoking, drinking, WBC, BMI, liver function (ALT, AST and Alb), renal function (Scr, BUN and UA), HsCRP, HbA1C, HCY, and RAAS activity (ACE, renin, Ang I, Ang II and ALD), dyslipidemia (TRIG, TC, LDL-C, Apo B, HDL-C and Apo AI), medical condition (EH, CAD, T2D and AF), NYHA functional classification, combined medication (antiplatelet drugs, warfarin, statins, RSIs, BBs, MRA, CCBs, diuretics, digoxin, nitrates, and hypoglycemic agents) and echocardiography index (RVD, RAD, LVD, LAD, and LVEF)

Discussion

This study is the first to address the possible associations of KATP gene SNPs with different types of dyslipidemia in south China. The data reported in this study indicate that none of the 3 KATP SNPs is associated with increased levels of TRIG (≥1.7 mmol/L, Additional file 1: Table S3), TC (≥5.2 mmol/L, Additional file 1: Table S4) and Apo B (≥80 mg/dL, Additional file 1: Table S6) as well as decreased levels of HDL-C (< 1.0 mmol/L, Additional file 1: Table S5) and Apo AI (< 120 mg/dL, Additional file 1: Table S7). Importantly, the data indicate that the risk of increase in LDL-C levels (≥1.8 mmol/L) in participants with T-allele (TT + CT) increases by 1.25-fold compared with those with CC genotype except for rs4148671 and rs78148713 variants. Dyslipidemia is a heterogeneous disease. The findings in this study are partially consistent with the study by Engwa et al. [17] reporting that the TT genotype of rs1799854 is related to high levels of HDL and low levels of TC, TG and LDL in non-diabetic patients among Nigerians, and with the study by Nikolac et al. [18] reporting that rs1799859 and rs1799854 were related to higher TRIG level in Croatia T2D patients with sulfonylurea therapy, and with the study by Xu et al. [19] reporting that the K allele (KK + EK) of rs5219 is associated with a higher ratio of TC vs. HDL-C in prediabetic youth Han Chinese.

Atherogenic dyslipidemia-characterized by preponderance of small, dense, LDL-C is the major cause of macrovascular arteriosclerotic disease. CAS ≥50% is now recognized as a new subtype of macrovascular arteriosclerotic disease besides CHD and stroke [29]. This is based on findings that the 10-year risk of ASCVD in patients with CAS ≥50% is concordant with those in patients suffering from cardiovascular disease. This study further elucidate that participants with high LDL-C risk genotype of rs11046182 (TT + CT) also associated with high risk of CAS ≥50% (increased approximately by 1.8-fold). In addition to macrovascular arteriosclerotic disease, recent studies show an association between increased LDL-C level and microvascular arteriosclerotic disease (e.g., coronary [30] and renal [31]). The MAU is a key biomarker of microvascular injury in chronic kidney disease and is an independent risk factor of cardiovascular events [32]. This study indicates an association between high LDL-C risk genotype (TT + CT) of rs1799858 and the increase in MAU levels.

Whether it is macrovascular arteriosclerotic diseases or microvascular diseases, inflammation pathways play an important role in the pathogenesis of atherosclerosis caused by abnormal LDL-C level. Recently, the Canakinumab Anti-inflammatory Thrombosis Outcome Study (CANTOS) [33] indicated that decreasing inflammation with canakinumab, an interleukin-1β neutralizing monoclonal antibody, reduced cardiovascular events independent of cholesterol level [34]. On the other hand, methotrexate (MTX) exerts anti-inflammatory effects through its intracellular metabolite (polyglutamate methotrexate) and may help in preventing atherosclerotic events. However, low-doses of MTX do not reduce inflammatory factor levels (e.g., interleukin-1β, interleukin-6, or C-reactive protein) and the risk of ASCVD among patients with stable atherosclerosis [35]. Low-doses of colchicine decrease ischemic cardiovascular events by 23% among patients with recent myocardial infarction [36]. These results suggest that it is necessary to screen appropriate populations (high inflammation risk) for receiving anti-inflammatory treatment besides the differences in anti-inflammatory drugs used. This study indicates that the high LDL-C risk genotype of rs1799858 (TT + CT) associates with increased levels of the anti-inflammation marker HsCRP. Previous studies have indicated that the HsCRP levels are not only related to cardiovascular disease independent of traditional risk factors, but also can independently predict the occurrence and recurrence of adverse cardiovascular events [37, 38]. This study is the first to report that the high risk of increased LDL-C and HsCRP related T allele (TT + CT) of rs1799858 associate with higher risk of new-onset/recurrent AMI (increased approximately by 1.9-fold) after an average follow-up of 51.1-months. These observations suggest that rs1799858 may be genetic factor that predispose patients to atherogenic dyslipidemia (increased LDL-C level) related macro-/micro-vascular arteriosclerotic event risk.

Currently, the mechanism by which KATP variant increases LDL-C levels and its related macro-/micro-vascular arteriosclerotic event risk remains unclear. This study reports no significant difference on SBP, BMI and postprandial two hours blood glucose (P2hBS) was observed between the two groups (Table 1), but the average levels of SBP (> 130 mmHg), BMI (> 24.0 kg/m2) and P2hBS (> 7.8 mmol/L) were higher than normal especially in high LDL-C (≥1.8 mmol/L) group, which was also accompanied with high TRIG, TC and Apo B levels. This suggests that participants in the high LDL-C group suffer a state of metabolic syndrome (MeS). Insulin resistance (IR) plays a primary role in the pathogenesis of MeS, leading to dyslipidemia and its related ASCVD [39]. Indeed, Wan et al. [40] reported that rs5219 is associated with IR in vitro model (L6 rat skeletal muscle cell line), and Gonen et al. [41] further reported that KATP SNP rs1799854, rs1799859 and rs5219 play a key role in glucose-induced insulin secretion in Turkey while such association was not seen in participants from the Caribbean harboring the rs5219 variant [42] as well as participants from Polands harboring the rs1799854 variant [22]. The effects of KATP gene polymorphisms (mutations or variants) on IR are not fully understood, but it is tempting to speculate that the elevated activity of KATP as well as in the presence of the KATP rs1799858 variant, which directly impact the cardiovascular system, and influences the susceptibility to dyslipidemia and its related macro-/micro-vascular arteriosclerotic damages. Such influence can be tissue specific and attributes to tissue/cell-specific KATP variants expressed in the heart, skeletal/smooth muscles, pancreatic β-cells and the brain. AMI is an important cardiac subtype of ASCVD. The pathophysiological essence of AMI is myocardial ischemia that is the result of coronary artery (“macrovascular”) obstruction (e.g., CAD) and coronary microvascular obstruction (e.g., coronary microvascular dysfunction (CMD)). CMD, as a new microvascular paradigm, has been widespread before obstructive CAD is present in the epicardial coronary arteries, and plays the leading role in the pathophysiology of AMI. Imbalance in lipid metabolism is one of the initiating factors of CMD. Although the mechanism underlying CMD caused by dyslipidemia (e.g., LDL-C [43]) is not fully understood, existing evidence suggests that it is associated with increased oxidative stress [44]. KATP is not only involved in the metabolic regulation of coronary vascular tone (e.g., coronary KATP) but also in mediating oxidative stress (e.g., mitochondrial KATP) [45, 46].

ASCVD (e.g., CAD) results from a cross-talk between environmental and genetic factors [47]. Although environmental factors (e.g., high-cholesterol diet) play a role in ASCVD, genetic factors are a major determinant of ASCVD. The genetic risk of ASCVD is conferred in part through known metabolic risk factors (e.g., dyslipidemia) [48]. ASCVD results in complex pathologies that develop over time due to genetic and environmental factors. To adapt to ever-changing gene-environment interactions, posttranslational regulations (e.g., microRNA [49]) have recently been valued as core contributors to ASCVD pathogenesis. SNPs have a huge impact on transcription, maturation and target specificity of miRNA. Hence, the mutation of the microRNA binding site in the target gene will affect the splicing efficiency and stability of mRNA (e.g., intron splicing enhancer, silencer element or conformation), regulates RAAS activity [50] and mediates cardiovascular injury, attributed to KATP SNPs (e.g., rs1799858). Based on the aforementioned, elucidating the specific regulatory mechanism has proven to be indispensable.

Study strengths and limitations

The strengths of the study were that this is the first time a direct association of KATP SNPs with the risk of increased LDL-C levels and macro-/micro-vascular arteriosclerotic events, and with the inter-individual variability of inflammatory state in arteriosclerotic related diseases. Another strength of this study was that it had a follow-up time of over 51 months, and evaluated risks associated with new-onset/recurrent acute coronary syndrome. This study was also hurdled by some limitations. Firstly, since the sample size of this study is not big enough (N = 640), large-scale prospective studies will help to further verify those findings. Secondly, Bonferroni adjustment was used to adjust the significance thresholds, but there was still the possibility of potential false-positive results especially for future research building on this study. Therefore, results must be interpreted carefully.

Conclusion

KATP SNP rs1799858 may be a potential genetic susceptibility marker for increased LCL-C level and its related macro-/micro-vascular arteriosclerotic event risk. Therefore, genetic screening at the KATP SNP loci could potentially improve patient outcomes through early prevention or treatment for macro-/micro-vascular arteriosclerotic diseases with a much needed large-scale prospective study.

Availability of data and materials

The datasets used and/or analyzed in this study are available from the corresponding author on reasonable request.

Abbreviations

ACE:

Angiotensin converting enzyme

ACR:

Urinary albumin-to-creatinine ratio

AF:

Atrial fibrillation

Alb:

Albumin

ALD:

Aldosterone

ALT:

Alanine aminotransferase

AMI:

Acute myocardial infarction

Ang I/ II:

Angiotensin I/II

Apo AI:

Apolipoprotein AI

Apo B:

Apolipoprotein B

ASCVD:

Arteriosclerosis cardiovascular disease

AST:

Aspartate aminotransferase

BMI:

Body mass index

BUN:

Blood urea nitrogen

CAS:

Carotid artery stenosis

CAD:

Coronary atherosclerotic heart disease

CI:

Confidence interval

CMD:

Coronary microvascular dysfunction

DBP:

Diastolic blood pressure

EH:

Essential hypertension

FBG:

Fasting blood glucose

HbA1C:

Glycosylated hemoglobin

HDL-C:

High-density lipoprotein cholesterol

HGB:

Hemoglobin concentration

HR:

Hazard ratio

HsCRP:

High-sensitivity C-reactive protein

K+ :

Serum potassium

KATP :

ATP-sensitive potassium channels

Kir6.x:

Inward-rectifier potassium channel

LDL-C:

Low-density lipoprotein cholesterol

MAF:

Minor allele frequency

MAU:

Microalbumin in urine

MeS:

Metabolic syndrome

MI:

Myocardial infarction

MTX:

Methotrexate

Na+ :

Serum sodium

OR:

Odds ratio

P2hBS:

Postprandial blood glucose two hours

PLT:

Platelet count

RAAS:

Renin-angiotensin-aldosterone system

SBP:

Systolic blood pressure

Scr:

Serum creatinine

SNP:

Single nucleotide polymorphism

SUR:

Sulfonylurea receptor

TC:

Total cholesterol

T2D:

Type 2 diabetes mellitus

TRIG:

Triglyceride

UA:

Serum uric acid

WBC:

White blood cell count

References

  1. Gidding SS, Allen NB. Cholesterol and atherosclerotic cardiovascular disease: a lifelong problem. J Am Heart Assoc. 2019;8:e012924.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Mach F, Baigent C, Catapano AL, Koskinas KC, Casula M, Badimon L, Chapman MJ, De Backer GG, Delgado V, Ference BA, et al. 2019 ESC/EAS guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. Eur Heart J. 2020;41:111–88.

    Article  PubMed  Google Scholar 

  3. Wong ND, Zhao Y, Quek RGW, Blumenthal RS, Budoff MJ, Cushman M, Garg P, Sandfort V, Tsai M, Lopez JAG. Residual atherosclerotic cardiovascular disease risk in statin-treated adults: the multi-ethnic study of atherosclerosis. J Clin Lipidol. 2017;11:1223–33.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Soran H, Dent R, Durrington P. Evidence-based goals in LDL-C reduction. Clin Res Cardiol. 2017;106:237–48.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Liu C, Li Y, Guan T, Lai Y, Shen Y, Zeyaweiding A, Zhao H, Li F, Maimaiti T. ACE2 polymorphisms associated with cardiovascular risk in Uygurs with type 2 diabetes mellitus. Cardiovasc Diabetol. 2018;17:127.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Szeto V, Chen NH, Sun HS, Feng ZP. The role of KATP channels in cerebral ischemic stroke and diabetes. Acta Pharmacol Sin. 2018;39:683–94.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Foster MN, Coetzee WA. KATP channels in the cardiovascular system. Physiol Rev. 2016;96:177–252.

    Article  CAS  PubMed  Google Scholar 

  8. Yokoyama T, Izumi H, Endoh M, Izawa T, Ogawa N, Okada Y. Effects of KRN4884, a novel pyridinecarboxamidine type KATP channel opener, on serum triglyceride levels in rats. Br J Pharmacol. 1997;120:1471–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Yue JT, Abraham MA, LaPierre MP, Mighiu PI, Light PE, Filippi BM, Lam TK. A fatty acid-dependent hypothalamic-DVC neurocircuitry that regulates hepatic secretion of triglyceride-rich lipoproteins. Nat Commun. 2015;6:5970.

    Article  CAS  PubMed  Google Scholar 

  10. Schmitz G, Buechler C. ABCA1: regulation, trafficking and association with heteromeric proteins. Ann Med. 2002;34:334–47.

    Article  CAS  PubMed  Google Scholar 

  11. Fryirs MA, Barter PJ, Appavoo M, Tuch BE, Tabet F, Heather AK, Rye KA. Effects of high-density lipoproteins on pancreatic beta-cell insulin secretion. Arterioscler Thromb Vasc Biol. 2010;30:1642–8.

    Article  CAS  PubMed  Google Scholar 

  12. Ling MY, Ma ZY, Wang YY, Qi J, Liu L, Li L, Zhang Y. Up-regulated ATP-sensitive potassium channels play a role in increased inflammation and plaque vulnerability in macrophages. Atherosclerosis. 2013;226:348–55.

    Article  CAS  PubMed  Google Scholar 

  13. Fan LH, He Y, Xu W, Tian HY, Zhou Y, Liang Q, Huang X, Huo JH, Li HB, Bai L, Ma AQ. Adiponectin may be a biomarker of early atherosclerosis of smokers and decreased by nicotine through KATP channel in adipocytes. Nutrition. 2015;31:955–8.

    Article  CAS  PubMed  Google Scholar 

  14. Strom J, Swyers T, Wilson D, Unger E, Chen QM, Larson DF. Dodecafluoropentane emulsion elicits cardiac protection against myocardial infarction through an ATP-sensitive K+ channel dependent mechanism. Cardiovasc Drugs Ther. 2014;28:541–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Group IS. Effect of nicorandil on coronary events in patients with stable angina: the impact of Nicorandil in angina (IONA) randomised trial. Lancet. 2002;359:1269–75.

    Article  Google Scholar 

  16. Zhong CJ, Chen MM, Lu M, Ding JH, Du RH, Hu G. Astrocyte-specific deletion of Kir6.1/K-ATP channel aggravates cerebral ischemia/reperfusion injury through endoplasmic reticulum stress in mice. Exp Neurol. 2019;311:225–33.

    Article  CAS  PubMed  Google Scholar 

  17. Engwa GA, Nwalo FN, Chikezie CC, Onyia CO, Ojo OO, Mbacham WF, Ubi BE. Possible association between ABCC8 C49620T polymorphism and type 2 diabetes in a Nigerian population. BMC Med Genet. 2018;19:78.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  18. Nikolac N, Simundic AM, Saracevic A, Katalinic D. ABCC8 polymorphisms are associated with triglyceride concentration in type 2 diabetics on sulfonylurea therapy. Genet Test Mol Biomarkers. 2012;16:924–30.

    Article  CAS  PubMed  Google Scholar 

  19. Xu M, Hu H, Deng D, Chen M, Xu Z, Wang Y. Prediabetes is associated with genetic variations in the gene encoding the Kir6.2 subunit of the pancreatic ATP-sensitive potassium channel (KCNJ11): a case-control study in a Han Chinese youth population. J Diabetes. 2018;10:121–9.

    Article  CAS  PubMed  Google Scholar 

  20. Sakamoto Y, Inoue H, Keshavarz P, Miyawaki K, Yamaguchi Y, Moritani M, Kunika K, Nakamura N, Yoshikawa T, Yasui N, et al. SNPs in the KCNJ11-ABCC8 gene locus are associated with type 2 diabetes and blood pressure levels in the Japanese population. J Hum Genet. 2007;52:781–93.

    Article  CAS  PubMed  Google Scholar 

  21. Smith KJ, Chadburn AJ, Adomaviciene A, Minoretti P, Vignali L, Emanuele E, Tammaro P. Coronary spasm and acute myocardial infarction due to a mutation (V734I) in the nucleotide binding domain 1 of ABCC9. Int J Cardiol. 2013;168:3506–13.

    Article  PubMed  Google Scholar 

  22. Stefanski A, Majkowska L, Ciechanowicz A, Frankow M, Safranow K, Parczewski M, Pilarska K. The common C49620T polymorphism in the sulfonylurea receptor gene (ABCC8), pancreatic beta cell function and long-term diabetic complications in obese patients with long-lasting type 2 diabetes mellitus. Exp Clin Endocrinol Diabetes. 2007;115:317–21.

    Article  CAS  PubMed  Google Scholar 

  23. Kullo IJ, de Andrade M, Boerwinkle E, McConnell JP, Kardia SL, Turner ST. Pleiotropic genetic effects contribute to the correlation between HDL cholesterol, triglycerides, and LDL particle size in hypertensive sibships. Am J Hypertens. 2005;18:99–103.

    Article  CAS  PubMed  Google Scholar 

  24. Williams RR, Hunt SC, Hopkins PN, Wu LL, Hasstedt SJ, Berry TD, Barlow GK, Stults BM, Schumacher MC, Ludwig EH, et al. Genetic basis of familial dyslipidemia and hypertension: 15-year results from Utah. Am J Hypertens. 1993;6:319S–27S.

    Article  CAS  PubMed  Google Scholar 

  25. Lang RM, Badano LP, Mor-Avi V, Afilalo J, Armstrong A, Ernande L, Flachskampf FA, Foster E, Goldstein SA, Kuznetsova T, et al. Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. Eur Heart J Cardiovasc Imaging. 2015;16:233–70.

    Article  PubMed  Google Scholar 

  26. Meschia JF, Klaas JP, Brown RD Jr, Brott TG. Evaluation and Management of Atherosclerotic Carotid Stenosis. Mayo Clin Proc. 2017;92:1144–57.

    Article  PubMed  Google Scholar 

  27. Pan Y, Wang T, Li Y, Guan T, Lai Y, Shen Y, Zeyaweiding A, Maimaiti T, Li F, Zhao H, Liu C. Association of ACE2 polymorphisms with susceptibility to essential hypertension and dyslipidemia in Xinjiang, China. Lipids Health Dis. 2018;17:241.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Ibanez B, James S, Agewall S, Antunes MJ, Bucciarelli-Ducci C, Bueno H, Caforio ALP, Crea F, Goudevenos JA, Halvorsen S, et al. ESC guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation: the task force for the management of acute myocardial infarction in patients presenting with ST-segment elevation of the European Society of Cardiology (ESC). Eur Heart J. 2017;2018(39):119–77.

    Google Scholar 

  29. Jacobson TA, Ito MK, Maki KC, Orringer CE, Bays HE, Jones PH, McKenney JM, Grundy SM, Gill EA, Wild RA, et al. National Lipid Association recommendations for patient-centered management of dyslipidemia: part 1 - executive summary. J Clin Lipidol. 2014;8:473–88.

    Article  PubMed  Google Scholar 

  30. Reindl M, Reinstadler SJ, Feistritzer HJ, Theurl M, Basic D, Eigler C, Holzknecht M, Mair J, Mayr A, Klug G, Metzler B. Relation of low-density lipoprotein cholesterol with microvascular injury and clinical outcome in Revascularized ST-elevation myocardial infarction. J Am Heart Assoc. 2017;6.

  31. Emanuelsson F, Nordestgaard BG, Tybjaerg-Hansen A, Benn M. Impact of LDL cholesterol on microvascular versus macrovascular disease: a Mendelian randomization study. J Am Coll Cardiol. 2019;74:1465–76.

    Article  CAS  PubMed  Google Scholar 

  32. Kumar Jha P, Ete T, Malviya A, Kumar Das C, Saha SK, Nath D, Kapoor M, Mishra A. Microalbuminuria: correlation with prevalence and severity of coronary artery disease in non-diabetics. J Clin Med Res. 2017;9:838–43.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  33. Ridker PM, Everett BM, Thuren T, MacFadyen JG, Chang WH, Ballantyne C, Fonseca F, Nicolau J, Koenig W, Anker SD, et al. Antiinflammatory therapy with Canakinumab for atherosclerotic disease. N Engl J Med. 2017;377:1119–31.

    Article  CAS  PubMed  Google Scholar 

  34. Aday AW, Ridker PM. Antiinflammatory therapy in clinical care: the CANTOS trial and beyond. Front Cardiovasc Med. 2018;5:62.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  35. Ridker PM, Everett BM, Pradhan A, MacFadyen JG, Solomon DH, Zaharris E, Mam V, Hasan A, Rosenberg Y, Iturriaga E, et al. Low-dose methotrexate for the prevention of atherosclerotic events. N Engl J Med. 2019;380:752–62.

    Article  CAS  PubMed  Google Scholar 

  36. Tardif JC, Kouz S, Waters DD, Bertrand OF, Diaz R, Maggioni AP, Pinto FJ, Ibrahim R, Gamra H, Kiwan GS, et al. Efficacy and safety of low-dose colchicine after myocardial infarction. N Engl J Med. 2019;381:2497–505.

    Article  CAS  PubMed  Google Scholar 

  37. Wang W, Ren D, Wang CS, Li T, Yao HC. High sensitivity C-reactive protein to prealbumin ratio measurement as a marker of the prognosis in acute coronary syndrome. Sci Rep. 2019;9:11583.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  38. Ribeiro DR, Ramos AM, Vieira PL, Menti E, Bordin OL Jr, Souza PA, Quadros AS, Portal VL. High-sensitivity C-reactive protein as a predictor of cardiovascular events after ST-elevation myocardial infarction. Arq Bras Cardiol. 2014;103:69–75.

    CAS  PubMed  PubMed Central  Google Scholar 

  39. Ormazabal V, Nair S, Elfeky O, Aguayo C, Salomon C, Zuniga FA. Association between insulin resistance and the development of cardiovascular disease. Cardiovasc Diabetol. 2018;17:122.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Wan J, Jiang X, Bai J, Shen D, Wang T. The effects of E23K polymorphism in Kir6.2 subunit on insulin sensitivity in skeletal muscle cells by long-chain fatty acyl CoA. Biochem Biophys Res Commun. 2009;381:496–501.

    Article  CAS  PubMed  Google Scholar 

  41. Gonen MS, Arikoglu H, Erkoc Kaya D, Ozdemir H, Ipekci SH, Arslan A, Kayis SA, Gogebakan B. Effects of single nucleotide polymorphisms in K (ATP) channel genes on type 2 diabetes in a Turkish population. Arch Med Res. 2012;43:317–23.

    Article  CAS  PubMed  Google Scholar 

  42. Ezenwaka C, Kalloo R, Uhlig M, Schwenk R, Eckel J. The E23K variant in the Kir6.2 subunit of the ATP-sensitive K+ channel does not augment impaired glucose tolerance in Caribbean subjects with a family history of type 2 diabetes. J Endocrinol. 2005;185:439–44.

    Article  CAS  PubMed  Google Scholar 

  43. Kaufmann PA, Gnecchi-Ruscone T, Schafers KP, Luscher TF, Camici PG. Low density lipoprotein cholesterol and coronary microvascular dysfunction in hypercholesterolemia. J Am Coll Cardiol. 2000;36:103–9.

    Article  CAS  PubMed  Google Scholar 

  44. Toth PP, Simko RJ, Palli SR, Koselleck D, Quimbo RA, Cziraky MJ. The impact of serum lipids on risk for microangiopathy in patients with type 2 diabetes mellitus. Cardiovasc Diabetol. 2012;11:109.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Severino P, D'Amato A, Netti L, Pucci M, Infusino F, Maestrini V, Mancone M, Fedele F. Myocardial ischemia and diabetes mellitus: role of oxidative stress in the connection between cardiac metabolism and coronary blood flow. J Diabetes Res. 2019;2019:9489826.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  46. Rodriguez-Pallares J, Parga JA, Joglar B, Guerra MJ, Labandeira-Garcia JL. Mitochondrial ATP-sensitive potassium channels enhance angiotensin-induced oxidative damage and dopaminergic neuron degeneration. Relevance for aging-associated susceptibility to Parkinson's disease. Age (Dordr). 2012;34:863–80.

    Article  CAS  Google Scholar 

  47. Trinder M, Francis GA, Brunham LR. Association of monogenic vs polygenic hypercholesterolemia with risk of atherosclerotic cardiovascular disease. JAMA Cardiol. 2020;5(4):390–9.

  48. Rader DJ, Pure E. Genetic susceptibility to atherosclerosis: insights from mice. Circ Res. 2000;86:1013–5.

    Article  CAS  PubMed  Google Scholar 

  49. Albert PR, Le Francois B, Vahid-Ansari F. Genetic, epigenetic and posttranscriptional mechanisms for treatment of major depression: the 5-HT1A receptor gene as a paradigm. J Psychiatry Neurosci. 2019;44:164–76.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Seki T, Goto K, Kansui Y, Ohtsubo T, Matsumura K, Kitazono T. Angiotensin II receptor-neprilysin inhibitor sacubitril/Valsartan improves endothelial dysfunction in spontaneously hypertensive rats. J Am Heart Assoc. 2017;6(10):e006617.

Download references

Acknowledgements

The authors wish to thank all the study participants from the South China Cardiovascular Related Disease Cohort (SCCDC, since July 2010), research staff and students who participated in this work.

Funding

This study was funded by the National Natural Science Foundation of China (81100235), the Guangdong Natural Science Foundation of China (S2011040004458), the Guangdong Science and Technology Planning Project of China (2014A020212372), the Guangzhou Science and Technology Project of China (2012 J4100035 and 201804010214) and xinxin-Merck Cardiovascular Scientific Research Fund (2017-CCA-xinxin merck fund-012).

Author information

Authors and Affiliations

Authors

Contributions

CL, literature search, study format, protocol writing, data collection, data processing, data interpretation, data analysis, manuscript writing; TWG, JMZ and JK, literature search, patients recruitment, data interpretation and manuscript writing; YXL and JMZ, carrying out the molecular genetics; TWG and YS, patients recruitment, data collection; patients follow-up. The manuscript has been read and approved by all authors.

Corresponding author

Correspondence to Cheng Liu.

Ethics declarations

Ethics approval and consent to participate

The study received ethics approval from the Institutional Review Board of Guangzhou First People’s Hospital.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Additional file 1:

Additional Method and Results. Table S1. The primers of KATP SNPs in the Sequenom MassARRAY system. Table S2.KATP SNPs in study participants. Table S3. Association of KATP SNPs with increased TRIG (≥ 1.7 mmol/L) levels in study subjects. Table S4. Association of KATP SNPs with increased TC (≥ 5.2 mmol/L) levels in study participants. Table S5. Association of KATP SNPs with decreased HDL-C (< 1.0 mmol/L) levels in study participants. Table S6. Association of KATP SNPs with increased Apo B (≥ 80 mg/dL) levels in study subjects. Table S7. Association of KATP SNPs with decreased Apo AI (< 120 mg/dL) levels in study participants. Table S8. Baseline characteristics of study participants at the end of the follow-up.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, C., Guan, T., Lai, Y. et al. ATP-sensitive potassium channels gene polymorphism rs1799858 affects the risk of macro-/micro-vascular arteriosclerotic event in patients with increased low-density lipoprotein cholesterol levels. Lipids Health Dis 19, 147 (2020). https://doi.org/10.1186/s12944-020-01315-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12944-020-01315-6

Keywords