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Article

The Role of Plasma Interleukin-6 Levels on Atherosclerotic Cardiovascular Disease and Cardiovascular Mortality Risk Scores in Javanese Patients with Chronic Kidney Disease

by
Hendri Susilo
1,2,
Mochammad Thaha
3,4,*,
Budi Susetyo Pikir
2,5,*,
Mochamad Yusuf Alsagaff
2,5,
Satriyo Dwi Suryantoro
4,5,
Citrawati Dyah Kencono Wungu
6,7,*,
Nando Reza Pratama
8,
Cennikon Pakpahan
9 and
Delvac Oceandy
10
1
Doctoral Program of Medical Science, Faculty of Medicine, Universitas Airlangga, Surabaya 60132, Indonesia
2
Department of Cardiology and Vascular Medicine, Universitas Airlangga Hospital, Surabaya 60115, Indonesia
3
Department of Internal Medicine, Faculty of Medicine, Universitas Airlangga, Surabaya 60132, Indonesia
4
Department of Internal Medicine, Universitas Airlangga Hospital, Surabaya 60115, Indonesia
5
Department of Cardiology and Vascular Medicine, Faculty of Medicine, Universitas Airlangga, Surabaya 60132, Indonesia
6
Department of Physiology and Medical Biochemistry, Faculty of Medicine, Universitas Airlangga, Surabaya 60132, Indonesia
7
Institute of Tropical Disease, Universitas Airlangga, Surabaya 60286, Indonesia
8
Faculty of Medicine, Universitas Airlangga, Surabaya 60132, Indonesia
9
Department of Biomedicine, Faculty of Medicine, Universitas Airlangga, Surabaya 60132, Indonesia
10
Division of Cardiovascular Science, The University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PR, UK
*
Authors to whom correspondence should be addressed.
J. Pers. Med. 2022, 12(7), 1122; https://doi.org/10.3390/jpm12071122
Submission received: 12 June 2022 / Revised: 29 June 2022 / Accepted: 8 July 2022 / Published: 10 July 2022
(This article belongs to the Special Issue Personalized Medicine in Kidney Disease)
Browse Figures
Versions Notes

Abstract

:
Interleukin-6 (IL-6) has been identified as an important pro-inflammatory factor involved in mediating the severity of chronic kidney disease (CKD). This study sought to determine the effect of plasma IL-6 levels on atherosclerotic cardiovascular disease (ASCVD) and cardiovascular mortality risk scores in Javanese CKD patients. We also analyzed the frequency of IL-6 G174C single nucleotide polymorphism (SNP) in the population. This study was a cross-sectional study involving seventy-three patients of Javanese ethnic origin with stable chronic kidney disease. We assessed the ASCVD risk score, cardiovascular mortality score, genotyping of IL-6 G174C SNP, and plasma IL-6 levels in these patients. The genotype distribution and allele frequencies of the IL-6 G174C SNP were predominated by the G genotype/allele (GG: 97.26%, GC: 1.37%, CC: 1.37%, G-allele: 97.95%, and C-allele: 2.05%). Despite the fact that plasma IL-6 levels did not directly affect cardiovascular mortality risk, further analysis revealed its direct effect on the ASCVD risk score (path coefficient = 0.184, p = 0.043, 95% CI = 0.018–0.380), which in turn affected cardiovascular mortality risk (path coefficient = 0.851, p = <0.01, 95% CI = 0.714–0.925). In conclusion, plasma IL-6 levels play important roles on ASCVD risk and cardiovascular mortality risk in Javanese patients with CKD.

1. Introduction

The Kidney Disease Improving Global Outcomes (KDIGO) defines chronic kidney disease (CKD) as an abnormality in kidney structure or function that lasts for more than three months [1,2]. The prevalence of CKD is estimated to be 13.4% (11.7–15.1%) worldwide. Patients with end-stage kidney disease (ESKD) who require renal replacement treatment are estimated to be between 4.902 and 7.083 million worldwide [3], showing that the burden of CKD occurs in almost all countries [4]. In Asian countries, CKD prevalence was 9.8% (8.3–11.5%) in upper-middle-income countries and 13.8% (9.9–18.3%) in lower-middle-income countries [5]. In Indonesia, until 2017, as many as 27,232,922 CKD cases resulted in deaths. Cardiovascular complications are still among the most common causes of death in CKD [6]. Interactions between the heart and kidney intersect at multiple levels. The failing heart could hemodynamically cross-talk with the kidneys, and vice versa, in which CKD can occur due to complications from diabetes and hypertension, while cardiovascular disease is the most common complication and cause of death in CKD [7,8].
The inflammatory process plays a significant role in the progression of CKD to mortality. One of the proinflammatory cytokines that play an essential role in the pathogenesis of CKD is interleukin-6 (IL-6) [9]. IL-6 release is stimulated by acute infection, chronic inflammatory conditions, obesity, and physiological stress [10]. IL-6 is also associated with atherosclerosis and cardiovascular disease, which may also be a vital mediator of the inflammatory response in ischemic stroke [11]. Blood vessels are responsive to IL-6 generated from vascular and non-vascular sources. IL-6 signaling mediates various effects on blood vessel walls, including endothelial activation, vascular permeability, immune cell recruitment, endothelial dysfunction, and vascular hypertrophy and fibrosis [12].
Genetic involvement in the IL-6 response has been investigated in several studies [13,14]. The human IL-6 gene is located on chromosome 7p21, consisted of five exons and four introns, and synthesized as a 232-amino acid precursor protein [15]. IL-6 functional promoter single nucleotide polymorphism (SNP), G174C (rs1800795), has been identified previously and may be associated with elevated IL-6 levels [15,16]. Elevated IL-6 levels are related to higher mortality rate in people with cardiovascular diseases [17]. Proinflammatory cytokines upregulate the expression of matrix metalloproteinases, which are involved in vascular remodeling and plaque disruption. The presence of an inflammatory process marks the location of plaque rupture or erosion [18]. The possible impact is the progression of CKD, leading to severe cardiovascular complications [19,20].
However, some studies regarding IL-6 G174C polymorphism still yield conflicting results. The GG genotype has been linked to various ischemic and atherosclerotic cardiovascular diseases [21,22,23]. Other research, on the other hand, have discovered links between the CC genotype and asymptomatic carotid artery atherosclerosis and higher mortality in individuals with abdominal aortic aneurysms [24,25]. Some research even showed no significant difference in the allelic or genotype frequency between cardiovascular disease and control [26,27]. These contradicting results are likely due to differences among studies, including variations in ethnicity, study design, baseline characteristics, and population background [28,29,30].
To date, there has been no data on the effect of IL-6 polymorphisms and IL-6 levels on the risk of atherosclerotic cardiovascular disease (ASCVD) and cardiovascular mortality in CKD patients, especially in Javanese ethnicity, the largest ethnic group in Indonesia. Therefore, we conducted a study to determine the role of IL-6 G174C polymorphism and plasma IL-6 levels on ASCVD and cardiovascular mortality risk scores in Javanese CKD patients.

2. Materials and Methods

2.1. Study Design

This was an observational analytical study with a cross-sectional design to analyze the role of IL-6 G174C gene polymorphism and IL-6 plasma levels with atherosclerotic cardiovascular disease and cardiovascular mortality risk scores in Javanese CKD patients. The study is a continuation of our previous study focusing on the effect of polymorphism in the ACE gene on atherosclerotic cardiovascular disease and cardiovascular mortality risk [31]. We have added several CKD patients to be included in the present study. In brief, 73 CKD patients between May 2021 to June 2021 in the Nephrology Outpatient Clinic, Universitas Airlangga Hospital, Surabaya, Indonesia, were included in this study. This study has been approved by the Institutional Ethics Committee of Universitas Airlangga Hospital (ethical clearance number 146/KEP/2021).

2.2. Sample Criteria

The inclusion criteria were described in our previous paper [31]. Briefly, samples included in this study should fulfill the following inclusion criteria: (1) aged 40–79 years; (2) clinically stable CKD patients; and (3) Javanese ethnicity. Clinically stable CKD was defined as not in conditions of metabolic acidosis, hyperkalemia, overload syndrome, and severe infection [32]. Patients with present cardiovascular disease or past cardiovascular histories such as acute coronary syndrome, stroke, acute heart failure, severe infection, and uncontrolled arrhythmias were excluded. A physical and history examination were carried out before taking blood for DNA isolation. Retrieved baseline characteristics included gender, age, ethnicity, body mass index (BMI), blood pressure, history of smoking, diabetes, stroke, and CKD stage. We calculated the ASCVD risk score for all patients for measuring the 10-year estimate of atherosclerotic cardiovascular disease. We also calculated the cardiovascular mortality score for predicting 10-year cardiovascular mortality in the patients. Both calculations were based on the SCORE CKD patch (https://ckdpcrisk.org/ckdpatchscore/, accessed on 10 November 2021) and the PCE CKD patch (https://ckdpcrisk.org/ckdpatchpce/, accessed on 10 November 2021) [33]. Peripheral blood (5 mL) was collected from all patients in EDTA tubes. The blood was taken to the Institute of Tropical Diseases (ITD), Universitas Airlangga, Indonesia. The salting-out method was employed to extract peripheral blood mononuclear cells (PBMC) from the samples. Blood plasma from each sample was also isolated and put into an Eppendorf tube. PBMC and blood plasma were stored in −80 °C for at least one month before further processing.

2.3. Plasma IL-6 Levels

Enzyme-linked immunoassay (ELISA) kit (Cat. No. E-EL-H6156, Elabscience, Houston, TX, USA) was used to measure IL-6 levels in the plasma as specified by the manufacturer’s procedure. The outcomes would then be read in ELISA HumaReader and analyzed in ELISA for Windows software (Center for Disease Control and Prevention, https://www.cdc.gov/ncird/software/elisa/index.html, accessed on 23 August 2021).

2.4. DNA Isolation and Genotyping of IL-6 Gene SNP

DNA was isolated with the QIAamp DNA extraction kit (Qiagen, Inc., Hilden, Germany; Cat. No. 51104) as instructed in the reaction kit. To detect the IL-6 G174C polymorphism (rs1800795), we used the polymerase chain reaction-restriction fragment length polymorphisms (PCR-RFLP) method. Each amplification reaction used Promega GoTaq® Green Master Mix (Cat. no. M7122, Promega, Madison, WI, USA) in A DNA thermal cycler machine (Applied Biosystems Veriti 96 Well). The primers used were: Forward: 5′-TGACTTCAGCTTTACTCTTTG-3′, Reverse: 5′-CTGATTGGAAACCTTATTAAG-3′ (198 bp amplicon). The procedure includes initial denaturation at 95 °C–5′, 40 cycles: 95 °C–30″, 52 °C–30″, 72 °C–45″, and final extension at 72 °C–5′. PCR products were then incubated with restriction enzyme NIaIII (Cat. No. R0125S, New England Biolabs, Ipswich, MA, USA) at 37 °C for 4 h [34]. The results of the PCR-RFLP showed 119 and 49 bp bands for minor homozygote (SNP) CC genotype, 30 and 168 bp for major homozygote GG genotype, and three bands (168, 119, and 49 bp) for heterozygote CG genotype. We also performed direct sequencing to confirm the results of the PCR-RFLP.

2.5. Data Analysis

SPSS Statistics Software version 23 was used for statistical analysis (IBM Corp., Armonk, NY, USA). The baseline characteristics and IL-6 genotype distributions were presented in tabular form and analyzed descriptively. Numerical data were evaluated using mean and standard deviation (SD), while the frequency was calculated using percentage. Shapiro–Wilk normality test was employed to determine the distribution of the numerical data. To determine the relationship between variables in this study with ASCVD and cardiovascular mortality scores, Spearman analysis was used. Smart PLS 3.3.7 (GmbH Company, Oststeinbek, Germany) was used to determine the path analysis between the plasma IL-6 level, ASCVD risk score, and cardiovascular mortality risk score. Statistical significance was defined as a p-value less than 0.05.

3. Results

3.1. Characteristics of the Participants

Of the total seventy-three Javanese CKD patients involved in this study, the mean age was 57.93 ± 7.15 years with male predominance (52.1%). The medical history regarding cardiovascular risk factors revealed that 76.7% of the CKD patients had diabetes, 87.7% had hypertension, and 69.9% never smoked (Table 1). Most of the patients had stage 3 CKD (52.1%) with high ASCVD risk score (23.83 ± 19.82) and cardiovascular mortality risk score (17.06 ± 19.45). The total mean of plasma IL-6 was 5.92 ± 5.83 pg/mL, while there was no difference in plasma IL-6 levels between CKD stages (Figure 1). We also performed additional analysis to determine the correlation between IL-6 levels and eGFR, however, we found no statistically significant correlations (p = 0.164). Correlation between plasma IL-6 levels and CKD stages was also not statistically significant (p = 0.054). In Mann Whitney test, we found statistically significant differences between male and female in terms of ASCVD risk and cardiovascular mortality scores (p = 0.001 and p = 0.001, respectively).

3.2. Correlation and Path Analysis between Plasma IL-6 Level, ASCVD Risk Score, and Cardiovascular Mortality Risk Score

In the present study, we found a positive correlation between plasma IL-6 and ASCVD risk score (r = 0.231, p = 0.049). Still, there was a not significant correlation between plasma IL-6 and cardiovascular mortality risk score (r = 0.110, p = 0.355), as shown in Figure 2. We also performed path analysis to determine the relationship between plasma IL-6 level, ASCVD risk score, and cardiovascular mortality risk score (Figure 3). We found that plasma IL-6 level had a significant direct effect on ASCVD risk (path coefficient = 0.184, p = 0.043, 95% CI = 0.018–0.380), while ASCVD risk score had a significant direct effect on cardiovascular mortality risk score (path coefficient = 0.851, p = <0.01, 95% CI = 0.714–0.925). Plasma IL-6 level had a significant indirect effect on cardiovascular mortality risk score (path coefficient = 0.156, p = 0.045, 95% CI = 0.016–0.344). Plasma IL-6 level did not directly affect cardiovascular mortality risk (p = 0.181), implying that there could be several other factors influencing ASCVD risk to affect cardiovascular mortality risk.

3.3. Analysis of IL-6 G174C SNP in Javanese CKD Patients

It has been known that plasma IL-6 level is significantly correlated with the G174C polymorphism [19,25,36]. To detect the frequency of IL-6 G174C SNP in this study participants, we performed PCR-RFLP followed by direct sequencing for confirmation. Chromatogram comparison and multiple alignments between SNP and major homozygote are presented in Figure 4 and Figure 5. As shown in Table 2, in this study, we only found one Javanese CKD patient with GC genotype (1.37%) and one patient with CC genotype (1.37%). According to the allele calculation, only three C alleles were found in this study (2.05%). The frequency of the G allele (100%) and C allele (0%) in this study population seemed to be comparable with the reported frequency in the Asian population (dbSNP, NCBI) [37]. As the number of polymorphic alleles in this cohort was very low (only one subject each in both GC and CC genotypes), we did not perform correlation analysis due to the limited power of the statistical test.

4. Discussion

Atherosclerosis is an inflammatory disease characterized by a chronic inflammatory process perpetuated by various proinflammatory mediators, including cytokines and chemokines, at all stages of the disease, with myocardial infarction, stroke, or sudden cardiac death as fatal endpoints [38]. Among other cytokines, IL-6 is considered an orchestrator of the inflammatory response and a key player in atherosclerosis in humans [10]. IL-6 has been shown to play an essential role in atherogenesis by inducing endothelial dysfunction, enhanced expression of adhesion molecules, the proliferation of smooth muscle cells, leukocyte recruitment, and matrix degeneration [39,40,41]. Studies demonstrated that IL-6 could also promote the development and rupture of atherosclerotic plaques, thereby accelerating the progress of atherosclerotic plaque growth and instability [42]. As chronic inflammation is pervasive at all CKD stages, IL-6 levels are elevated in CKD [19]. However, this phenomenon is partially explained by reduced renal clearance of this cytokine [43]. Furthermore, previous research has shown that high IL-6 had been solidly associated with mortality in patients with stage five CKD who are being maintained on long-term dialysis [44,45,46]. Non-traditional risk factors such as oxidative stress and inflammation have an important role in increasing the progression of cardiovascular disease in CKD, as there is a bidirectional relationship between oxidative stress and inflammation. The increase in markers of oxidative stress in CKD has started to occur since the early stage of CKD [47,48].
The present study results corroborated previous findings on the link between increased serum IL-6 and the risk of cardiovascular diseases [49,50]. Several previous studies have probed the association between serum IL-6 and cardiovascular mortality with conflicting results. A prior study among women with prevalent CVD demonstrated that those with higher plasma IL-6 levels had a more than the fourfold risk of death than women in the lowest tercile [18]. Tuomisto et al. on the other hand, found that CRP and TNF-α, but not IL-6, were significant independent predictors of total mortality in men [51]. However, another cohort study found IL-6 more strongly associated with all-cause and cardiovascular mortality than CRP [52]. The small sample size may explain these conflicting findings in several studies, the participants’ old age, and heterogeneous populations. However, in the present study among relatively homogenous populations, we found that plasma IL-6 levels did not directly affect cardiovascular mortality risk score, implying that there could be several other factors influencing ASCVD risk that can affect cardiovascular mortality risk. Gender difference could also be an important covariate. We found in this study that there were significant differences between male and female CKD patients in terms of ASCVD risk and cardiovascular mortality risk scores. Between males and women, there are significant disparities in ASCVD risk. Men are more likely to acquire coronary heart disease (CHD) and often develop ASCVD at a younger age [53,54]. It is unclear why sex-based disparities could influence ASCVD risk and mortality. However, it has frequently been hypothesized that sex steroid hormones, notably estrogen, reduce the incidence of ASCVD in women [55]. This hypothesis was strongly supported by several studies which showed that estrogen therapy proves to effectively reduce total mortality and coronary heart disease in postmenopausal women [56,57].
The proinflammatory cytokine IL-6 has a great many functions, including stimulating the hepatic synthesis of acute-phase reactants, activating endothelial cells, increasing coagulation, and promoting lymphocyte proliferation and differentiation [39]. The different effects acting on the various stages of CAD would influence the development, progression, and complications of the disease. Several possible key mechanisms are thought to be involved in the development and progression of CAD by IL-6. First, serum IL-6 is the main stimulator of the hepatic acute-phase response, which is associated with increased blood viscosity and increased platelet number and activity [58]. Second, the autocrine and paracrine activation of monocytes by IL-6 in the vessel wall contributes to the deposition of fibrinogen [59]. Acute-phase response proteins such as CRP and fibrinogen are both strong risk factors for CAD. Third, IL-6 makes the low-density lipoprotein receptor (LDLR) show up on the surface of macrophages. This makes macrophages more likely to take in low-density lipoprotein (LDL), which speeds up lipid deposition and promotes foam cell formation [60]. Fourth, circulating IL-6 also stimulates the hypothalamic-pituitary-adrenal (HPA) axis, the activation of which is associated with central obesity, hypertension, and insulin resistance [61]. The above findings suggest that IL-6 plays a vital role in the pathology of atherosclerosis and contributes to the development of CAD through multiple pathways.
Identifying and analyzing polymorphisms in genes encoding biochemical markers that are altered in patients with CKD is critical as they may affect the patients’ outcomes [62]. In this study among Javanese CKD patients, we found that the frequency of IL-6 G174C SNP was very low; thus, we could not analyze any associations between IL-6 G174C SNP and plasma IL-6 level, ASCVD risk score, or cardiovascular mortality risk score. Several studies have suggested that promoter polymorphisms might affect the transcriptional regulation of IL-6. However, studies on the link between the IL-6 G174C SNP and ASCVD and cardiovascular mortality risk have shown conflicting results. Prior research conducted in Germany [25], Italy [19], and South Africa [36] established that the IL-6 G174C SNP was associated with increased circulating levels of IL-6, as well as an increased risk of developing cardiovascular disease and mortality in CKD patients. According to the findings of a meta-analysis of 42 studies involving 15,145 cases and 21,496 controls, the C allele of the IL-6 G174C SNP was associated with an increased risk of cardiovascular disease in Caucasians [63]. Additionally, other studies discovered a link between the CC genotype and the C allele of the IL-6 G174C SNP and the onset of cardiovascular events, establishing it as a risk factor for myocardial infarction [64,65]. In contrast, previous research has shown that the IL-6 G174C SNP is not associated with an increased risk of cardiovascular disease in Tunisians [66], Chinese [67], or the Isfahan population [68].
It is well established that the frequency of various cytokine gene alleles varies between populations. In our study, the genotype distribution and allele frequencies of the IL-6 G174C SNP were dominated by the G allele (GG: 97.26%, GC: 1.37%, CC: 1.37%; G-allele: 97.95%, C-allele: 2.05%). According to the Reference SNP (rs) Report database for rs1800795, which was accessed on 23 March 2022 [37], the allelic frequencies in our studied population are closer to those reported for Asian populations. Similar findings have been made in populations of Africans, East Asians, and Malaysian Malays [28,69,70]. Our findings also backed up an earlier study in Indonesia that looked at different ethnic groups and found that the GG genotype is the most common, while the CC genotype is less common [71]. In comparison, prior research among the European Caucasian population discovered that the GC genotype is the most prevalent [72,73]. Thereby, when considering the effect of the IL-6 G174C SNP, it is necessary to consider the influence of population genetics, particularly in complex and multifactorial diseases such as ASCVD and CKD.
This study is the first in our knowledge to explore the relationship between IL-6 G174C SNP, IL-6 levels, ASCVD risk score, and cardiovascular mortality risk score in Javanese CKD patients. However, this study has some limitations that should be considered when assessing the data’s relevance. Although the research was performed in a relatively homogeneous population, the sample size was relatively small. Notably, we only assessed one SNP locus (G174C) SNP genotype, while the role of other IL-6 promoter SNPs remains to be elucidated. To our knowledge, there was a dearth of data on the genetic regulation of IL-6 in patients with chronic kidney disease in our population. Nonetheless, this study is representative of Javanese CKD populations, and it supported the validity of previous findings.

5. Conclusions

In conclusion, our data indicate that plasma IL-6 levels play a significant role on ASCVD risk and cardiovascular mortality risk scores in CKD patients. We also found that the GG genotype of the IL-6 G174C SNP was predominant in the majority of subjects in Javanese populations. Based on the insights gained from this study, further research on other IL-6 loci or even haplotype studies are needed to elaborate on these findings, particularly among Asian populations.

Author Contributions

Conceptualization: H.S., B.S.P. and M.T.; methodology: D.O. and C.D.K.W.; sample collection: S.D.S. and H.S.; laboratory analysis: C.D.K.W. and H.S.; formal analysis: C.D.K.W.; writing—original draft preparation: C.P. and H.S.; writing—review and editing: N.R.P.; funding acquisition: C.D.K.W.; resources: S.D.S., M.T., M.Y.A.; supervision: M.T. and D.O. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by internal funding from Universitas Airlangga (Grant number: 819/UN3.15/PT/2021).

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Institutional Ethics Committee of Universitas Airlangga Hospital (ethical clearance number 146/KEP/2021).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

All relevant data are within the paper.

Acknowledgments

The authors thank Mutiara Rizky Haryati, Muhammad Rifqi Arya Putra, Ristra Ramadhani, Mochamad Amin, Dwi Cahya Maharani, and Sukma Sekar for their contribution to the study.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Levey, A.S.; Becker, C.; Inker, L.A. Glomerular filtration rate and albuminuria for detection and staging of acute and chronic kidney disease in adults: A systematic review. JAMA 2015, 313, 837–846. [Google Scholar] [CrossRef] [Green Version]
  2. Levin, A.; Stevens, P.E.; Bilous, R.W.; Coresh, J.; De Francisco, A.L.M.; De Jong, P.E.; Griffith, K.E.; Hemmelgarn, B.R.; Iseki, K.; Lamb, E.J.; et al. Kidney disease: Improving global outcomes (KDIGO) CKD work group. KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int. Suppl. 2013, 3, 1–150. [Google Scholar] [CrossRef] [Green Version]
  3. Lv, J.-C.; Zhang, L.-X. Prevalence and Disease Burden of Chronic Kidney Disease. In Advances in Experimental Medicine and Biology; Springer: Singapore, 2019; Volume 1165, pp. 3–15. [Google Scholar] [CrossRef]
  4. Bikbov, B.; Purcell, C.A.; Levey, A.S.; Smith, M.; Abdoli, A.; Abebe, M.; Adebayo, O.M.; Afarideh, M.; Agarwal, S.K.; Agudelo-Botero, M.; et al. Global, regional, and national burden of chronic kidney disease, 1990–2017 : A systematic analysis for the Global Burden of Disease Study 2017. Lancet 2020, 395, 709–733. [Google Scholar] [CrossRef] [Green Version]
  5. Suriyong, P.; Ruengorn, C.; Shayakul, C.; Anantachoti, P.; Kanjanarat, P. Prevalence of chronic kidney disease stages 3–5 in low- and middle-income countries in Asia: A systematic review and meta-analysis. PLoS ONE 2022, 17, e0264393. [Google Scholar] [CrossRef]
  6. James, S.L.; Abate, D.; Abate, K.H.; Abay, S.M.; Abbafati, C.; Abbasi, N.; Abbastabar, H.; Abd-Allah, F.; Abdela, J.; Abdelalim, A.; et al. Global, regional, and national incidence, prevalence, and years lived with disability for 354 Diseases and Injuries for 195 countries and territories, 1990-2017: A systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018, 392, 1789–1858. [Google Scholar] [CrossRef] [Green Version]
  7. Cockwell, P.; Fisher, L.A. The global burden of chronic kidney disease. Lancet 2020, 395, 662–664. [Google Scholar] [CrossRef] [Green Version]
  8. Rangaswami, J.; Bhalla, V.; Blair, J.E.; Chang, T.I.; Costa, S.; Lentine, K.L.; Lerma, E.V.; Mezue, K.; Molitch, M.; Mullens, W.; et al. Cardiorenal Syndrome: Classification, Pathophysiology, Diagnosis, and Treatment Strategies: A Scientific Statement From the American Heart Association. Circulation 2019, 139, E840–E878. [Google Scholar] [CrossRef]
  9. Van Der Valk, F.M.; Van Wijk, D.F.; Stroes, E.S.G. Novel anti-inflammatory strategies in atherosclerosis. Curr. Opin. Lipidol. 2012, 23, 532–539. [Google Scholar] [CrossRef]
  10. Hartman, J.; Frishman, W.H. Inflammation and atherosclerosis: A review of the role of interleukin-6 in the development of atherosclerosis and the potential for targeted drug therapy. Cardiol. Rev. 2014, 22, 147–151. [Google Scholar] [CrossRef]
  11. Suzuki, S.; Tanaka, K.; Suzuki, N. Ambivalent Aspects of Interleukin-6 in Cerebral Ischemia: Inflammatory versus Neurotrophic Aspects. J. Cereb. Blood Flow Metab. 2009, 29, 464–479. [Google Scholar] [CrossRef]
  12. Didion, S. Cellular and Oxidative Mechanisms Associated with Interleukin-6 Signaling in the Vasculature. Int. J. Mol. Sci. 2017, 18, 2563. [Google Scholar] [CrossRef] [Green Version]
  13. Salari, N.; Mansouri, K.; Hosseinian-Far, A.; Ghasemi, H.; Mohammadi, M.; Jalali, R.; Vaisi-Raygani, A. The effect of polymorphisms (174G > C and 572C > G) on the Interleukin-6 gene in coronary artery disease: A systematic review and meta-analysis. Genes Environ. 2021, 43, 1. [Google Scholar] [CrossRef]
  14. Satti, H.S.; Hussain, S.; Javed, Q. Association of Interleukin-6 Gene Promoter Polymorphism with Coronary Artery Disease in Pakistani Families. Sci. World J. 2013, 2013, 538365. [Google Scholar] [CrossRef] [Green Version]
  15. Fishman, D.; Faulds, G.; Jeffery, R.; Mohamed-Ali, V.; Yudkin, J.S.; Humphries, S.; Woo, P. The effect of novel polymorphisms in the interleukin-6 (IL-6) gene on IL-6 transcription and plasma IL-6 levels, and an association with systemic-onset juvenile chronic arthritis. J. Clin. Investig. 1998, 102, 1369–1376. [Google Scholar] [CrossRef] [Green Version]
  16. Zakharyan, R.; Petrek, M.; Arakelyan, A.; Mrazek, F.; Atshemyan, S.; Boyajyan, A. Interleukin-6 promoter polymorphism and plasma levels in patients with schizophrenia. Tissue Antigens 2012, 80, 136–142. [Google Scholar] [CrossRef]
  17. Gager, G.M.; Biesinger, B.; Hofer, F.; Winter, M.-P.; Hengstenberg, C.; Jilma, B.; Eyileten, C.; Postula, M.; Lang, I.M.; Siller-Matula, J.M. Interleukin-6 level is a powerful predictor of long-term cardiovascular mortality in patients with acute coronary syndrome. Vasc. Pharm. 2020, 135, 106806. [Google Scholar] [CrossRef]
  18. Volpato, S.; Guralnik, J.M.; Ferrucci, L.; Balfour, J.; Chaves, P.; Fried, L.P.; Harris, T.B. Cardiovascular Disease, Interleukin-6, and Risk of Mortality in Older Women: The Women’s Health and Aging Study. Low. Extrem. 2001, 103, 947–953. [Google Scholar] [CrossRef] [Green Version]
  19. Spoto, B.; Mattace-Raso, F.; Sijbrands, E.; Leonardis, D.; Testa, A.; Pisano, A.; Pizzini, P.; Cutrupi, S.; Parlongo, R.M.; D’Arrigo, G.; et al. Association of IL-6 and a functional polymorphism in the IL-6 gene with cardiovascular events in patients with CKD. Clin. J. Am. Soc. Nephrol. 2015, 10, 232–240. [Google Scholar] [CrossRef] [Green Version]
  20. Su, H.; Lei, C.T.; Zhang, C. Interleukin-6 signaling pathway and its role in kidney disease: An update. Front. Immunol. 2017, 8, 405. [Google Scholar] [CrossRef] [Green Version]
  21. Rauramaa, R.; Väisänen, S.B.; Luong, L.-A.; Schmidt-Trucksäss, A.; Penttilä, I.M.; Bouchard, C.; Töyry, J.; Humphries, S.E. Stromelysin-1 and interleukin-6 gene promoter polymorphisms are determinants of asymptomatic carotid artery atherosclerosis. Arter. Thromb. Vasc. Biol. 2000, 20, 2657–2662. [Google Scholar] [CrossRef] [Green Version]
  22. Rundek, T.; Elkind, M.S.; Pittman, J.; Boden-Albala, B.; Martin, S.; Humphries, S.E.; Juo, S.-H.H.; Sacco, R.L. Carotid intima-media thickness is associated with allelic variants of stromelysin-1, interleukin-6, and hepatic lipase genes: The Northern Manhattan Prospective Cohort Study. Stroke 2002, 33, 1420–1423. [Google Scholar] [CrossRef] [Green Version]
  23. McColgan, P.; Thant, K.Z.; Sharma, P. The genetics of sporadic ruptured and unruptured intracranial aneurysms: A genetic meta-analysis of 8 genes and 13 polymorphisms in approximately 20,000 individuals. J. Neurosurg. 2010, 112, 714–721. [Google Scholar] [CrossRef]
  24. Basso, F.; Lowe, G.D.O.; Rumley, A.; McMahon, A.D.; Humphries, S.E. Interleukin-6 -174G>C polymorphism and risk of coronary heart disease in West of Scotland Coronary Prevention Study (WOSCOPS). Arter. Thromb. Vasc. Biol. 2002, 22, 599–604. [Google Scholar] [CrossRef] [Green Version]
  25. Aker, S.; Bantis, C.; Reis, P.; Kuhr, N.; Schwandt, C.; Grabensee, B.; Heering, P.; Ivens, K. Influence of interleukin-6 G-174C gene polymorphism on coronary artery disease, cardiovascular complications and mortality in dialysis patients. Nephrol. Dial. Transpl. 2009, 24, 2847–2851. [Google Scholar] [CrossRef] [Green Version]
  26. Hashad, I.M.; Nosseir, H.; Shaban, G.M.; Abdel Rahman, M.F.; Gad, M.Z. Is there a correlation between -174(G/C) polymorphism of IL-6 gene and the incidence of acute myocardial infarction? J. Genet. Eng. Biotechnol. 2021, 19, 139. [Google Scholar] [CrossRef]
  27. Kumar, P.; Yadav, A.K.; Kumar, A.; Sagar, R.; Pandit, A.K.; Prasad, K. Association between interleukin-6 (G174C and G572C) promoter gene polymorphisms and risk of ischaemic stroke: A meta-analysis. Ann. Neurosci. 2015, 22, 61–69. [Google Scholar] [CrossRef] [Green Version]
  28. Gan, G.G.; Subramaniam, R.; Lian, L.H.; Nadarajan, V.S. Ethnic variation in interleukin-6-174 (G/C) polymorphism in the Malaysian population. Balk. J. Med. Genet. 2013, 16, 53–58. [Google Scholar] [CrossRef] [Green Version]
  29. Sie, M.P.; Sayed-Tabatabaei, F.A.; Oei, H.-H.S.; Uitterlinden, A.G.; Pols, H.A.; Hofman, A.; van Duijn, C.M.; Witteman, J.C. Interleukin 6 -174 G/C promoter polymorphism and risk of coronary heart disease: Results from the Rotterdam study and a meta-analysis. Arter. Thromb. Vasc. Biol. 2006, 26, 212–217. [Google Scholar] [CrossRef] [Green Version]
  30. Arooj, S.; Khan, M.; Raza, A. Interleukin-6 Gene Promoter Region Polymorphism in Patients with Dilated Cardiomyopathy. Cardiol. Cardiovasc. Med. 2019, 3, 329–339. [Google Scholar] [CrossRef]
  31. Susilo, H.; Pikir, B.S.; Thaha, M.; Alsagaff, M.Y.; Suryantoro, S.D.; Wungu, C.D.K.; Wafa, I.A.; Pakpahan, C.; Oceandy, D. The Effect of Angiotensin Converting Enzyme (ACE) I/D Polymorphism on Atherosclerotic Cardiovascular Disease and Cardiovascular Mortality Risk in Non-Hemodialyzed Chronic Kidney Disease: The Mediating Role of Plasma ACE Level. Genes 2022, 13, 1121. [Google Scholar] [CrossRef]
  32. Stevens, P.E.; Levin, A. Evaluation and Management of Chronic Kidney Disease: Synopsis of the Kidney Disease: Improving Global Outcomes 2012 Clinical Practice Guideline. Ann. Intern. Med. 2013, 158, 825. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Matsushita, K.; Jassal, S.K.; Sang, Y.; Ballew, S.H.; E Grams, M.; Surapaneni, A.; Arnlov, J.; Bansal, N.; Bozic, M.; Brenner, H.; et al. Incorporating kidney disease measures into cardiovascular risk prediction: Development and validation in 9 million adults from 72 datasets. EClinicalMedicine 2020, 27, 100552. [Google Scholar] [CrossRef] [PubMed]
  34. Ghavimi, R.; Sharifi, M.; Mohaghegh, M.A.; Mohammadian, H.; Khadempar, S.; Rezaei, H. Lack of association between rs1800795 (-174 G/C) polymorphism in the promoter region of interleukin-6 gene and susceptibility to type 2 diabetes in Isfahan population. Adv. Biomed. Res. 2016, 5, 18. [Google Scholar] [CrossRef]
  35. Indonesian Society of Endocrinology. Guidelines on the Management of Dyslipidemia in Indonesia; PB Perkeni: Jakarta, Indonesia, 2019. [Google Scholar]
  36. Hassan, M.O.; Duarte, R.; Dickens, C.; Dix-Peek, T.; Naidoo, S.; Vachiat, A.; Grinter, S.; Manga, P.; Naicker, S. Interleukin-6 gene polymorhisms and interleukin-6 levels are associated with atherosclerosis in CKD patients. Clin. Nephrol. 2020, 93, S82–S86. [Google Scholar] [CrossRef] [PubMed]
  37. National Library of Medicine. dbSNP rs1800795 n.d.:2021. Available online: https://www.ncbi.nlm.nih.gov/snp/rs1800795?horizontal_tab=true (accessed on 8 March 2022).
  38. Herrington, W.; Lacey, B.; Sherliker, P.; Armitage, J.; Lewington, S. Epidemiology of Atherosclerosis and the Potential to Reduce the Global Burden of Atherothrombotic Disease. Circ. Res. 2016, 118, 535–546. [Google Scholar] [CrossRef]
  39. Wang, Y.; Meng, R.; Liu, G.; Cao, C.; Chen, F.; Jin, K.; Ji, X.; Cao, G. Intracranial atherosclerotic disease. Neurobiol. Dis. 2019, 124, 118–132. [Google Scholar] [CrossRef]
  40. Weger, M.; Steinbrugger, I.; Haas, A.; März, W.; El-Shabrawi, Y.; Weger, W.; Schmut, O.; Renner, W. Role of the interleukin-6 -174 G>C gene polymorphism in retinal artery occlusion. Stroke 2005, 36, 249–252. [Google Scholar] [CrossRef] [Green Version]
  41. Romano, M.; Sironi, M.; Toniatti, C.; Polentarutti, N.; Fruscella, P.; Ghezzi, P.; Faggioni, R.; Luini, W.; van Hinsbergh, V.; Sozzani, S.; et al. Role of IL-6 and its soluble receptor in induction of chemokines and leukocyte recruitment. Immunity 1997, 6, 315–325. [Google Scholar] [CrossRef] [Green Version]
  42. Zamani, P.; Schwartz, G.G.; Olsson, A.G.; Rifai, N.; Bao, W.; Libby, P.; Ganz, P.; Kinlay, S.; the Myocardial Ischemia Reduction with Aggressive Cholesterol Lowering (MIRACL) Study Investigators. Inflammatory biomarkers, death, and recurrent nonfatal coronary events after an acute coronary syndrome in the MIRACL study. J. Am. Heart Assoc. 2013, 2, e003103. [Google Scholar] [CrossRef] [Green Version]
  43. Honda, H.; Qureshi, A.R.; Heimbürger, O.; Barany, P.; Wang, K.; Pecoits-Filho, R.; Stenvinkel, P.; Lindholm, B. Serum albumin, C-reactive protein, interleukin 6, and fetuin a as predictors of malnutrition, cardiovascular disease, and mortality in patients with ESRD. Am. J. Kidney Dis. 2006, 47, 139–148. [Google Scholar] [CrossRef]
  44. Pecoits-Filho, R.; Bárány, P.; Lindholm, B.; Heimbürger, O.; Stenvinkel, P. Interleukin-6 is an independent predictor of mortality in patients starting dialysis treatment. Nephrol. Dial. Transpl. 2002, 17, 1684–1688. [Google Scholar] [CrossRef] [PubMed]
  45. Meuwese, C.L.; Snaedal, S.; Halbesma, N.; Stenvinkel, P.; Dekker, F.; Qureshi, A.R.T.; Bárány, P.; Heimburger, O.; Lindholm, B.; Krediet, R.T.; et al. Trimestral variations of C-reactive protein, interleukin-6 and tumour necrosis factor-α are similarly associated with survival in haemodialysis patients. Nephrol. Dial. Transpl. 2011, 26, 1313–1318. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Rao, M.; Guo, D.; Perianayagam, M.C.; Tighiouart, H.; Jaber, B.L.; Pereira, B.J.G.; Balakrishnan, V.S. Plasma interleukin-6 predicts cardiovascular mortality in hemodialysis patients. Am. J. Kidney Dis. 2005, 45, 324–333. [Google Scholar] [CrossRef] [PubMed]
  47. Thaha, M.; Kadariswantiningsih, I.N.; Empitu, M.A. Association of high blood pressure with elevated oxidative stress, inflammatory marker and albuminuria in chronic kidney disease patients. J. Med. 2019, 20, 12–18. [Google Scholar] [CrossRef]
  48. Cachofeiro, V.; Goicochea, M.; De Vinuesa, S.G.; Oubĩa, P.; Lahera, V.; Lũo, J. Oxidative stress and inflammation, a link between chronic kidney disease and cardiovascular disease. Kidney Int. 2008, 74, S4–S9. [Google Scholar] [CrossRef] [Green Version]
  49. Wainstein, M.V.; Mossmann, M.; Araujo, G.N.; Gonçalves, S.C.; Gravina, G.L.; Sangalli, M.; Veadrigo, F.; Matte, R.; Reich, R.; Costa, F.G.; et al. Elevated serum interleukin-6 is predictive of coronary artery disease in intermediate risk overweight patients referred for coronary angiography. Diabetol. Metab. Syndr. 2017, 9, 67. [Google Scholar] [CrossRef]
  50. Lai, S.; Fishman, E.K.; Lai, H.; Pannu, H.; Detrick, B. Serum IL-6 Levels are Associated with Significant Coronary Stenosis in Cardiovascularly Asymptomatic Inner-City Black Adults in the US. Inflamm. Res. 2009, 58, 15. [Google Scholar] [CrossRef] [Green Version]
  51. Tuomisto, K.; Jousilahti, P.; Sundvall, J.; Pajunen, P.; Salomaa, V. C-reactive protein, interleukin-6 and tumor necrosis factor alpha as predictors of incident coronary and cardiovascular events and total mortality. A population-based, prospective study. Thromb. Haemost. 2006, 95, 511–518. [Google Scholar] [CrossRef]
  52. Panichi, V.; Maggiore, U.; Taccola, D.; Migliori, M.; Rizza, G.M.; Consani, C.; Bertini, A.; Sposini, S.; Perez-Garcia, R.; Rindi, P.; et al. Interleukin-6 is a stronger predictor of total and cardiovascular mortality than C-reactive protein in haemodialysis patients. Nephrol. Dial. Transpl. 2004, 19, 1154–1160. [Google Scholar] [CrossRef] [Green Version]
  53. George, J.; Rapsomaniki, E.; Pujades-Rodriguez, M.; Shah, A.D.; Denaxas, S.; Herrett, E.; Smeeth, L.; Timmis, A.; Hemingway, H. How does cardiovascular disease first present in women and men? Circulation 2015, 132, 1320–1328. [Google Scholar] [CrossRef]
  54. Leening, M.J.G.; Ferket, B.; Steyerberg, E.W.; Kavousi, M.; Deckers, J.W.; Nieboer, D.; Heeringa, J.; Portegies, M.L.P.; Hofman, A.; Ikram, M.A.; et al. Sex differences in lifetime risk and first manifestation of cardiovascular disease: Prospective population based cohort study. BMJ 2014, 349, g5992. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Tunstall-Pedoe, H. Myth and paradox of coronary risk and the menopause. Lancet 1998, 351, 1425–1427. [Google Scholar] [CrossRef]
  56. Howard, N.H.; Mack, W.J. In Perspective: Estrogen Therapy Proves to Safely and Effectively Reduce Total Mortality and Coronary Heart Disease in Recently Postmenopausal Women. Menopause Manag. 2008, 17, 27–32. [Google Scholar]
  57. Yang, X.-P.; Reckelhoff, J.F. Estrogen, hormonal replacement therapy and cardiovascular disease. Curr. Opin. Nephrol. Hypertens. 2011, 20, 133–138. [Google Scholar] [CrossRef] [Green Version]
  58. Souza, J.R.M.; Oliveira, R.T.; Blotta, M.H.S.L.; Coelho, O.R. Serum levels of interleukin-6 (Il-6), interleukin-18 (Il-18) and C-reactive protein (CRP) in patients with type-2 diabetes and acute coronary syndrome without ST-segment elevation. Arq. Bras. Cardiol. 2008, 90, 94–99. [Google Scholar] [CrossRef]
  59. Lee, P.C.; Ho, I.C.; Lee, T.C. Oxidative stress mediates sodium arsenite-induced expression of heme oxygenase-1, monocyte chemoattractant protein-1, and interleukin-6 in vascular smooth muscle cells. Toxicol. Sci. 2005, 85, 541–550. [Google Scholar] [CrossRef] [Green Version]
  60. Schuett, H.; Luchtefeld, M.; Grothusen, C.; Grote, K.; Schieffer, B. How much is too much? Interleukin-6 and its signalling in atherosclerosis. Thromb. Haemost. 2009, 102, 215–222. [Google Scholar] [CrossRef] [Green Version]
  61. Nijm, J.; Jonasson, L. Inflammation and cortisol response in coronary artery disease. Ann. Med. 2009, 41, 224–233. [Google Scholar] [CrossRef]
  62. Vivekanand, J.H.A.; Guillermo, G.; Kunitoshi, I.; Zou, L. Chronic kidney disease: Global dimension and perspectives. Lancet 2013, 382, 260–272. [Google Scholar] [CrossRef]
  63. Hou, H.; Wang, C.; Sun, F.; Zhao, L.; Dun, A.; Sun, Z. Association of interleukin-6 gene polymorphism with coronary artery disease: An updated systematic review and cumulative meta-analysis. Inflamm. Res. 2015, 64, 707–720. [Google Scholar] [CrossRef]
  64. Song, Y.; Gu, H.D.; He, Y.; Wang, J.W. Role of IL-6 polymorphism on the development of cardiovascular events and coronary artery disease in patients receiving hemodialysis. Genet. Mol. Res. 2015, 14, 2631–2637. [Google Scholar] [CrossRef] [PubMed]
  65. Chiappelli, M.; Tampieri, C.; Tumini, E.; Porcellini, E.; Caldarera, C.M.; Nanni, S.; Branzi, A.; Lio, D.; Caruso, M.; Hoffmann, E.; et al. Interleukin-6 gene polymorphism is an age-dependent risk factor for myocardial infarction in men. Int. J. Immunogenet. 2005, 32, 349–353. [Google Scholar] [CrossRef] [PubMed]
  66. Ghazouani, L.; Abboud, N.; Khalifa, S.B.H.; Added, F.; Ben Khalfallah, A.; Nsiri, B.; Mediouni, M.; Mahjoub, T. -174G>C interleukin-6 gene polymorphism in Tunisian patients with coronary artery disease. Ann. Saudi. Med. 2011, 31, 40–44. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  67. Tong, Z.; Li, Q.; Zhang, J.; Wei, Y.; Miao, G.; Yang, X. Association between interleukin 6 and interleukin 16 gene polymorphisms and coronary heart disease risk in a Chinese population. J. Int. Med. Res. 2013, 41, 1049–1056. [Google Scholar] [CrossRef]
  68. Pourhossein, M.; Ghavimi, R.; Alsahebfosoul, F.; Ghaedi, K. Association between rs1800795 (-174 G/C) Polymorphism in the Promoter of IL6 Gene and Risk of Relapsing-Remitting Multiple Sclerosis (RRMS) in Isfahan Population. Open J. Genet. 2014, 4, 407–413. [Google Scholar] [CrossRef] [Green Version]
  69. Meenagh, A.; Williams, F.; A Ross, O.; Patterson, C.; Gorodezky, C.; Hammond, M.; A Leheny, W.; Middleton, D. Frequency of cytokine polymorphisms in populations from western Europe, Africa, Asia, the Middle East and South America. Hum. Immunol. 2002, 63, 1055–1061. [Google Scholar] [CrossRef]
  70. Pan, M.; Gao, S.P.; Jiang, M.H.; Guo, J.; Zheng, J.G.; Zhu, J.H. Interleukin 6 promoter polymorphisms in normal Han Chinese population: Frequencies and effects on inflammatory markers. J. Investig. Med. 2011, 59, 272–276. [Google Scholar] [CrossRef]
  71. Muzasti, R.A.; Hariman, H.; Daulay, E.R. The Influence of −174 G/C Interleukin 6 Promoter Gene Polymorphism to Interleukin 6 Concentration in the End Stage Renal Disease Patients with Dialysis: A Single-Center Experience in Indonesia. Open Access Maced. J. Med. Sci. 2020, 8, 563–566. [Google Scholar] [CrossRef]
  72. Poli, F.; Nocco, A.; Berra, S.; Scalamogna, M.; Taioli, E.; Longhi, E.; Sirchia, G. Allele frequencies of polymorphisms of TNFA, IL-6, IL-10 and IFNG in an Italian Caucasian population. Eur. J. Immunogenet. 2002, 29, 237–240. [Google Scholar] [CrossRef]
  73. Kurzawski, M.; Pawlik, A.; Czerny, B.; Domański, L.; Rózański, J.; Droździk, M. Frequencies of the common promoter polymorphisms in cytokine genes in a Polish population. Int. J. Immunogenet. 2005, 32, 285–291. [Google Scholar] [CrossRef]
Jpm 12 01122 g001 550
Figure 1. The level of plasma IL-6 in: (a) total patients; (b) patients were stratified according to CKD stages; (c) box-plot of plasma IL-6 levels based on CKD stages.
Figure 1. The level of plasma IL-6 in: (a) total patients; (b) patients were stratified according to CKD stages; (c) box-plot of plasma IL-6 levels based on CKD stages.
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Figure 2. XY correlation plot between plasma IL-6 and ASCVD and CV mortality risk scores: (a) XY correlation plot between plasma IL-6 and ASCVD risk score; (b) XY correlation plot between plasma IL-6 and CV mortality risk score. Plasma IL-6 levels were measured at pg/mL unit.
Figure 2. XY correlation plot between plasma IL-6 and ASCVD and CV mortality risk scores: (a) XY correlation plot between plasma IL-6 and ASCVD risk score; (b) XY correlation plot between plasma IL-6 and CV mortality risk score. Plasma IL-6 levels were measured at pg/mL unit.
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Figure 3. Path analysis between plasma IL-6 level, ASCVD risk score, and cardiovascular mortality risk score.
Figure 3. Path analysis between plasma IL-6 level, ASCVD risk score, and cardiovascular mortality risk score.
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Figure 4. Identification and genotyping of SNP using direct sequencing method for confirmation: (A) chromatogram of GC genotype (heterozygote); (B) chromatogram of GG genotype (major homozygote).
Figure 4. Identification and genotyping of SNP using direct sequencing method for confirmation: (A) chromatogram of GC genotype (heterozygote); (B) chromatogram of GG genotype (major homozygote).
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Figure 5. Multiple alignments of IL-6 gene to detect G174C polymorphism by direct sequencing.
Figure 5. Multiple alignments of IL-6 gene to detect G174C polymorphism by direct sequencing.
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Table
Table 1. Characteristic of the Javanese CKD patients in this study.
Table 1. Characteristic of the Javanese CKD patients in this study.
VariableValue (n = 73)
Gender, male (%)38 (52.1)
Age (years)57.93 ± 7.15
History of type 2 diabetes (%)56 (76.7)
History of hypertension (%)64 (87.7)
History of smoking
Non-smoker n (%)51 (69.9)
Current smoker n (%)4 (5.5)
Former smoker n (%)18 (24.7)
Stages of kidney disease
CKD stage 2 n (%)3 (4.1)
CKD stage 3 n (%)38 (52.1)
CKD stage 4 n (%)20 (27.4)
CKD stage 5 n (%)12 (16.4)
Dyslipidemia n (%)58 (79.5%)
BMI (Kg/m2)26.08 ± 5.16
SBP (mmHg)144.27 ± 23.13
DBP (mmHg)81.29 ± 11.92
Total cholesterol (mg/dL)183.96 ± 52.22
HDL (mg/dL)39.75 ± 12.35
Serum creatinine (mg/dL)2.64 ± 1.66
e-GFR (mL/min/1.73 m2)31.82 ± 14.94
Urine ACR (mg/gram)643.33 ± 973.73
Plasma IL-6 (pg/mL)5.92 ± 5.83
ASCVD risk score (%)23.83 ± 19.82
Cardiovascular mortality risk score (%)17.06 ± 19.45
BMI: Body mass index; SBP: Systolic blood pressure; DBP: Diastolic blood pressure; HDL: High-density lipoprotein; e-GFR: estimated glomerular filtration rate; ACR: albumin-creatinine ratio; ASCVD: atherosclerotic cardiovascular disease. Dyslipidemia was defined as total cholesterol >200 mg/dL or HDL cholesterol <40 mg/dL [35].
Table
Table 2. Distribution of IL-6 genotypes in this study.
Table 2. Distribution of IL-6 genotypes in this study.
GenotypenFrequency (%)IL-6 Plasma (pg/mL)ASCVD Risk Score (%)Cardiovascular Mortality Risk Score (%)CKD Stage (%)
GG7197.265.48 ± 4.0423.90 ± 19.9917.18 ± 19.74Stage 2 (4.2)
Stage 3 (52.1)
Stage 4 (26.8)
Stage 5 (16.9)
GC11.371.8749.307Stage 3 (100)
CC11.3741.6633.6018.50Stage 4 (100)
Total73100
AllelenFrequency (%)
G14397.95
C32.05
Total146100
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Susilo, H.; Thaha, M.; Pikir, B.S.; Alsagaff, M.Y.; Suryantoro, S.D.; Wungu, C.D.K.; Pratama, N.R.; Pakpahan, C.; Oceandy, D. The Role of Plasma Interleukin-6 Levels on Atherosclerotic Cardiovascular Disease and Cardiovascular Mortality Risk Scores in Javanese Patients with Chronic Kidney Disease. J. Pers. Med. 2022, 12, 1122. https://doi.org/10.3390/jpm12071122

AMA Style

Susilo H, Thaha M, Pikir BS, Alsagaff MY, Suryantoro SD, Wungu CDK, Pratama NR, Pakpahan C, Oceandy D. The Role of Plasma Interleukin-6 Levels on Atherosclerotic Cardiovascular Disease and Cardiovascular Mortality Risk Scores in Javanese Patients with Chronic Kidney Disease. Journal of Personalized Medicine. 2022; 12(7):1122. https://doi.org/10.3390/jpm12071122

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Susilo, Hendri, Mochammad Thaha, Budi Susetyo Pikir, Mochamad Yusuf Alsagaff, Satriyo Dwi Suryantoro, Citrawati Dyah Kencono Wungu, Nando Reza Pratama, Cennikon Pakpahan, and Delvac Oceandy. 2022. "The Role of Plasma Interleukin-6 Levels on Atherosclerotic Cardiovascular Disease and Cardiovascular Mortality Risk Scores in Javanese Patients with Chronic Kidney Disease" Journal of Personalized Medicine 12, no. 7: 1122. https://doi.org/10.3390/jpm12071122

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