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ORIGINAL RESEARCH article

Front. Nutr., 25 March 2022
Sec. Clinical Nutrition

Association of Ratio of Apolipoprotein B to Apolipoprotein A1 With Survival in Peritoneal Dialysis

  • 1Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
  • 2Key Laboratory of Nephrology, National Health Commission and Guangdong Province, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China

Background: Although the ratio of apolipoprotein B (apo B) to apolipoprotein A1 (apo A1) (apo B/apo A1) seems to be associated with mortality in hemodialysis (HD) patients, the association of apo B/apo A1 ratio with death remains not clear in peritoneal dialysis (PD) patients.

Aims: The study targets to examine the relationship of apo B/apo A1 ratio with survival in patients receiving PD treatment.

Methods: In this single-center prospective observational cohort study, we enrolled 1,616 patients receiving PD treatment with a median follow-up time of 47.6 months. We used a multivariable Cox proportional hazards model to examine the relationship between apo B/apo A1 ratio and cardiovascular (CV) and all-cause mortality. The association of apo B/apo A1 ratio with atherosclerotic and non-atherosclerotic CV mortality was further evaluated by competing risk regression models.

Results: During the follow-up, 508 (31.4%) patients died, 249 (49.0%) died from CV events, of which 149 (59.8%) were atherosclerotic CV mortality. In multivariable models, for 1-SD increase in apo B/apo A1 ratio level, the adjusted hazard ratios for CV and all-cause mortality were 1.26 [95% confidence interval (CI), 1.07–1.47; P = 0.005] and 1.20 (95% CI, 1.07–1.35; P = 0.003), respectively. The adjusted subdistribution hazard ratios for atherosclerotic and non-atherosclerotic CV mortality were 1.43 (95% CI, 1.19–1.73; P < 0.001) and 0.85 (95% CI, 0.64–1.13; P = 0.256), respectively. For quartile analysis, patients in quartile 4 had higher CV, all-cause, and atherosclerotic CV mortality compared with those in quartile 1. Moreover, apo B/apo A1 ratio had a diabetes-related difference in CV, all-cause, and atherosclerotic CV mortality.

Conclusion: Elevated apo B/apo A1 ratio level was significantly associated with CV, all-cause, and atherosclerotic CV mortality in patients undergoing PD. Moreover, the association was especially statistically significant in patients with diabetes.

Introduction

Cardiovascular (CV) events have so far been the biggest obstacle to the survival of patients with end-stage renal disease (ESRD) (1). Even if some known CV risk factors have been controlled, including blood pressure, glucose and low-density lipoprotein cholesterol (LDL-C), the risk of mortality in patients with ESRD still remains at a high level (2, 3). Dyslipidemia, rather than hyperlipidemia, may play an important role in atherosclerotic CV events and mortality (4). Due to the inhibition of lipoprotein lipase and hepatic lipase activity in the extrinsic and intrinsic lipid metabolism pathways by uremic toxins, patients with ESRD showed a decrease in high-density lipoprotein cholesterol (HDL-C) levels and an increase in triglycerides (TG) levels on the characteristics of the lipid profile (4).

A genetic study by Sarwar et al. and a meta-analysis involving fibrates supported the causal relationship between hypertriglyceridemia and atherosclerotic CV events (5, 6). However, it is TG-rich lipoproteins instead of TG per se that determines atherosclerosis in hypertriglyceridemia (7). Apolipoprotein B (apo B) is an important structural protein of all lipoprotein particles with atherogenic effect, and each particle carries only one apo B molecule (8). This feature enables apo B to reliably reflect the atherogenic effect in plasma than LDL-C or TG-rich lipoprotein cholesterol alone. HDL-C is generally recognized to be with anti-atherosclerotic effect and is beneficial to CV health (9). Apolipoprotein A1 (apo A1), which accounts for 60%–70% of all apolipoproteins carried by HDL-C, is also considered to be with anti-atherosclerotic effect (10). Therefore, apo B/apo A1 ratio reflects the balance between pro-atherosclerotic and anti-atherosclerotic effect in plasma.

The relationship between some conventional lipid parameters that can reflect this balance effect and prognosis of ESRD patients remains controversial. A study conducted by Chang et al. concluded that elevated TG/HDL-C ratio was associated with better CV and overall survival in patients on hemodialysis (HD) (11). A study from our center showed that a higher TG/HDL-C ratio was associated with an increased risk of CV and all-cause mortality in peritoneal dialysis (PD) patients (12). Studies from Little et al. and Noh et al. found that increased total cholesterol (TC)/HDL-C ratio was associated with mortality in PD patients, but Noh et al. did not observe an association between TC/HDL-C ratio and CV mortality (13, 14). However, studies focused on the relationship between apo B/apo A1 ratio and survival in chronic kidney disease (CKD) or ESRD patients are rare. Two studies based on prevalent HD patients conducted by Sato et al. and Kaysen et al. came to completely different conclusions (15, 16). In terms of PD, although only two small-sample retrospective cohort studies have reached conclusions consistent with the study conducted by Sato et al. (17, 18), they have not further explored whether different causes of CV mortality have an effect on the relationship of apo B/apo A1 ratio with CV mortality. The lipid profile of PD has been reported to be more atherogenic than that of HD inherently (19). Therefore, we assumed that higher apo B/apo A1 ratio level was not only an independent risk factor of CV and all-cause mortality, but also independently associated with atherosclerotic CV mortality. The study targeted to evaluate the relationship between apo B/apo A1 ratio and survival in a large sample of PD population.

Materials and Methods

Study Design and Population

A prospective observational cohort study of 1,882 patients diagnosed with ESRD who began PD therapy between January 1, 2006 and December 31, 2013 in the First Affiliated Hospital of Sun Yat-sen University (SYSU) was performed. Individuals who met the inclusion criteria included those who were older than 18 years old, maintained PD therapy for at least 3 months, and signed a written informed consent. Patients who met the exclusion criteria included those who had maintained HD therapy for at least 3 months, who had suffered from malignant diseases, those with a history of failed kidney transplantation, and those with incomplete lipid data. In the end, only 1,616 patients entered the study, and the deadline for the follow-up was June 30, 2019. The entire study was carried out in line with the ethical principles of the Declaration of Helsinki and was approved by the Clinical Research Ethics Committee of the First Affiliated Hospital of SYSU. Written informed consent were obtained before all participants entered the study.

Data Collection and Measurements

When the patient was admitted to hospital, data on epidemiology and concomitant diseases would be collected. Individuals who met the diagnostic criteria for diabetes or using oral hypoglycemic drugs or insulin were believed to have diabetes. Patients who suffered from at least one of the following events were believed to have a history of CV events: angina, myocardial infarction, congestive heart failure, percutaneous coronary intervention, coronary artery bypass, or ischemic/hemorrhagic stroke (20). Individuals whose blood pressure measurements exceeded 140/90 mmHg at least twice in different time periods in a quiet state or took antihypertensive drugs were considered to have hypertension.

Laboratory data were collected within 3 months of the start of PD treatment. Lipid parameters including TC, TG, LDL-C, HDL-C, apo A1, and apo B levels, as well as other biochemical indexes, were measured in the First Affiliated Hospital of SYSU (21). We adopted the immunoturbidimetric method to measure the levels of apo B and apo A1, and standardized methods were applied to measure other laboratory variables. Clinical data (e.g., body mass index (BMI), blood pressure, and medication) were collected simultaneously. Estimated glomerular filtration rate (eGFR), served as an indicator to assess residual renal function, was calculated by CKD-EPI formula. Kt/V is an important parameter for assessing the adequacy of dialysis, which the value can be calculated by PD Adequest software (Baxter Healthcare, Guangzhou, China). We consider that the dialysis adequacy is not up to standard if Kt/V level is less than 1.7. In the PD process, we would select peritoneal dialysate with appropriate glucose concentration (1.5%, 2.5%, or 4.25%, Baxter Healthcare, Guangzhou, China) for dialysis according to the specific situation of the patients.

Follow-Up

The primary and the secondary endpoint of this study was CV and all-cause mortality, respectively. Atherosclerotic and non-atherosclerotic mortality was further differentiated on the basis of the etiology of CV mortality. The definitions and the judgment methods of the endpoints have been described in our previous study exhaustively (21). Follow-up team composed of physicians and well-trained nurses conducted a telephone or face-to-face interview with the patients monthly to evaluate the general conditions and accordingly adjust medication prescription. Meanwhile, patients needed to return to the center every 3 months to receive a comprehensive medical evaluation as requested (21).

Statistical Analysis

The participants were categorized into quartiles according to apo B/apo A1 ratio levels: quartile 1, < 0.52; quartile 2, 0.52–0.66; quartile 3, 0.66–0.84; and quartile 4, > 0.84. Apo B, apo A1, and some conventional lipid parameters were also categorized into quartiles according to their baseline levels. Means ± standard deviations (SDs) are expressed for normally distributed variables, medians and 25th–75th percentiles are expressed for non-parametric variables. Frequencies and percentages are expressed for categorical parameters.

Kaplan–Meier survival curves were performed to analyze CV and overall survival, and the method to assess the distributions of survival among apo B/apo A1 ratio quartiles was a log-rank test. We explored the shape of the relationship between apo B/apo A1 ratio and CV and all-cause mortality by using a restricted cubic spline model with four knots. A Cox proportional hazards model was used to analyze the independent association of apo B/apo A1 ratio with CV and all-cause mortality. The proportional hazards assumptions were tested by Schoenfeld residual plots. Hazard ratio (HR) with 95% confidence interval (CI) was used to present the results. Since atherosclerotic and non-atherosclerotic CV mortality are competing events, cumulative incidence function (CIF) curves were performed to analyze cumulative incidence of these two outcomes, and the method to assess the distributions of incidence among apo B/apo A1 ratio quartiles was a Fine-Gray test. The association between apo B/apo A1 ratio and atherosclerotic and non-atherosclerotic CV mortality was evaluated by competing risk regression models. Subdistribution hazard ratio (SHR) with 95% CI was used to present the results.

Subgroup analyses were conducted to further examine the relationship between apo B/apo A1 ratio and mortality based on several groups of clinical parameters by forest plots. A formal interaction test was carried out to investigate the interaction between diabetes and apo B/apo A1 ratio. The standard of statistical significance is P < 0.05. All analyses were carried through SPSS software, version 13.0 (IBM Corp., Chicago, IL, United States) and Stata software, version 14.0 (Stata Corp., College Station, TX, United States).

Results

Participants

Among 1,882 patients treated with PD, 1,616 eligible patients entered the final study (Figure 1). Baseline demographic and clinical and laboratory data of the overall population, as well as patients divided by quartiles of apo B/apo A1 ratio, are summarized in Table 1 (mean age, 47.5 ± 15.2 years, men accounted for 59.8%, and 25.7% had a history of diabetes). The median of apo B/apo A1 ratio was 0.66 (interquartile range, 0.52–0.84). Patients in the highest quartile (quartile 4) tended to be older, suffered more from diabetes, were more likely to have higher BMI, TC, TG, LDL-C, and hypersensitive C-reactive protein (hs-CRP) levels but lower serum albumin and HDL-C levels.

FIGURE 1
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Figure 1. Flow chart for the study. CV, cardiovascular; HD, hemodialysis; PD, peritoneal dialysis.

TABLE 1
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Table 1. Baseline characteristics of the study patients according to apo B/apo A1 ratio quartiles.

The median follow-up time was 47.6 (interquartile range, 21.6–80.8) months, and 508 (31.4%) patients died. The leading cause of death was CV mortality (249, 49.0%). The proportion of atherosclerotic and non-atherosclerotic CV mortality was 59.8% vs. 40.2%, respectively. Other causes of death were listed in Supplementary Table 1. In addition to death, other clinical outcomes of these patients consisted of continued PD treatment (280, 17.3%), kidney transplant (389, 24.1%), change the dialysis method to HD (299, 18.5%), went to other centers for treatment (75, 4.6%), and loss to follow-up (65, 4.0%).

Apolipoprotein B/Apolipoprotein A1 Ratio and Cardiovascular and All-Cause Mortality

Kaplan–Meier analysis is used to assess CV and overall survival among quartiles of apo B/apo A1 ratio levels (Figure 2). Patients in quartile 4 had the lowest CV and overall survival rate when compared with the other three lower quartiles (P = 0.005 and P < 0.001, respectively).

FIGURE 2
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Figure 2. Kaplan–Meier survival curves for participants categorized by apolipoprotein B (apo B)/apolipoprotein A1 (apo A1) ratio quartiles. (A) Cardiovascular mortality survival curves divided by apo B/apo A1 ratio quartiles. (B) All-cause mortality survival curves divided by apo B/apo A1 ratio quartiles. Q1–Q4, lowest to highest quartile.

A trend toward linear relationship between apo B/apo A1 ratio and CV and all-cause mortality was observed when we examined apo B/apo A1 ratio as a continuous variable in restricted cubic spline models (Figure 3). A multivariable Cox regression analysis was performed to determine the association of apo B/apo A1 ratio with CV and all-cause mortality, as listed in Table 2. In the final adjusted model, the adjusted HRs for 1-SD increase in apo B/apo A1 ratio level for CV and all-cause mortality were 1.26 (95% CI, 1.07–1.47; P = 0.005) and 1.20 (95% CI, 1.07–1.35; P = 0.003), respectively. For quartile analysis, a statistically significant association existed between quartile 4 and CV (HR, 1.79; 95% CI, 1.12–2.84; P = 0.015) and all-cause (HR, 1.57; 95% CI, 1.15–2.15; P = 0.005) mortality relative to quartile 1.

FIGURE 3
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Figure 3. Univariable (A) and multivariable (B) adjusted hazard ratios of CV mortality, univariable (C) and multivariable (D) adjusted hazard ratios of all-cause mortality associated with apo B/apo A1 ratio levels in Cox model using restricted cubic splines, adjusted for age, sex, diabetes, a history of CV events, body mass index, systolic blood pressure, hemoglobin, serum albumin, hypersensitive C-reactive protein, estimated glomerular filtration rate, total Kt/V, and statin use. Apo A1, apolipoprotein A1; Apo B, apolipoprotein B; CV, cardiovascular.

TABLE 2
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Table 2. Association of apo B/apo A1 ratio with CV and all-cause mortality.

With regard to apo B or apo A1 alone or some conventional lipid parameters, apo B was significantly associated with CV and all-cause mortality for continuous variable analysis, however, the quartile analysis did not show statistical significance for all-cause mortality. No association was found between apo A1 and worse prognosis. The association of LDL-C/HDL-C ratio with mortality exhibited similar pattern to apo B/apo A1 ratio. TC/HDL-C ratio level was significantly associated with CV and all-cause mortality for continuous variable analysis, but the quartile analysis did not show statistical significance for CV mortality (Supplementary Table 2).

Apolipoprotein B/Apolipoprotein A1 Ratio and Atherosclerotic and Non-atherosclerotic Cardiovascular Mortality

The CIF curves were shown in Figure 4, we found that patients in quartile 4 had higher cumulative incidence risk of atherosclerotic CV mortality (P < 0.001) but lower incidence risk of non-atherosclerotic CV mortality (P = 0.001) than those in other three lower quartiles.

FIGURE 4
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Figure 4. Cumulative incidence function curves for the cumulative incidence of atherosclerotic (A) and non-atherosclerotic (B) CV mortality in participants categorized by apolipoprotein B/apolipoprotein A1 ratio quartiles. CV, cardiovascular; Q1–Q4, lowest to highest quartile.

The relationship of apo B/apo A1 ratio with atherosclerotic and non-atherosclerotic CV mortality was further investigated by competing risk regression models in order to clarify the impact of different etiologies on the association of apo B/apo A1 ratio with CV mortality. As shown in Table 3, in the fully adjusted model, the adjusted SHRs for 1-SD increase in apo B/apo A1 ratio level for atherosclerotic and non-atherosclerotic CV mortality were 1.43 (95% CI, 1.19–1.73; P < 0.001) and 0.85 (95% CI, 0.64–1.13; P = 0.256), respectively. For quartile analysis, apo B/apo A1 ratio in quartile 4 was significantly associated with a higher risk of atherosclerotic CV (SHR, 2.21; 95% CI, 1.16–4.23; P = 0.016) but not non-atherosclerotic CV (SHR, 0.99; 95% CI, 0.41–2.37; P = 0.979) mortality relative to quartile 1.

TABLE 3
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Table 3. Association of apo B/apo A1 ratio with atherosclerotic and non-atherosclerotic CV mortality.

With regard to apo B or apo A1 alone or some conventional lipid parameters, increased apo B, LDL-C/HDL-C ratio, and TC/HDL-C ratio levels were significantly associated with an increased risk of atherosclerotic CV mortality, but had no association with non-atherosclerotic CV mortality. Apo A1 levels were not associated with both the two different etiologies of CV mortality (Supplementary Table 3).

Interaction Between Diabetes and Apolipoprotein B/Apolipoprotein A1 Ratio on Mortality

Next, subgroup analyses were carried out and we found that the CV, all-cause, and atherosclerotic CV mortality significantly increased with the elevation of apo B/apo A1 ratio levels in all predesignated subgroups except in patients without diabetes (Supplementary Figure 1).

We then proceeded a formal interaction test to examine whether the association of apo B/apo A1 ratio with survival differed due to diabetes. The results indicated a significant interaction between diabetes and apo B/apo A1 ratio on CV (P = 0.035), all-cause (P = 0.012), and atherosclerotic CV (P = 0.011) mortality, but not on non-atherosclerotic CV (P = 0.498) mortality (data not shown). As shown in Table 4, with each 1-SD increase in apo B/apo A1 ratio level in patients with diabetes, the adjusted HRs for CV and all-cause mortality were 1.61 (95% CI, 1.27–2.05; P < 0.001) and 1.49 (95% CI, 1.25–1.78; P < 0.001), respectively, the adjusted SHRs for atherosclerotic and non-atherosclerotic CV mortality were 1.96 (95% CI, 1.43–2.68; P < 0.001) and 0.79 (95% CI, 0.57–1.12; P = 0.184), respectively. However, we did not observe an association between apo B/apo A1 ratio and mortality in patients without diabetes.

TABLE 4
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Table 4. Mortality outcome for each 1-SD increase in apo B/apo A1 ratio level by diabetes.

Discussion

The results of this study indicated that elevated apo B/apo A1 ratio was significantly associated with CV, all-cause, and atherosclerotic CV mortality among patients receiving PD treatment. Additionally, subgroup analyses and formal interaction tests confirmed that the higher CV (HR, 1.61; 95% CI, 1.27–2.05; P < 0.001), all-cause (HR, 1.49; 95% CI, 1.25–1.78; P < 0.001), and atherosclerotic CV (SHR, 1.96; 95% CI, 1.43–2.68; P < 0.001) mortality was closely associated with the elevation of apo B/apo A1 ratio levels in patients with diabetes.

Kaysen et al. recruited 433 prevalent patients treated with HD and concluded that apo B/apo A1 ratio had no association with CV mortality (15), while a study from Japan including 1,081 prevalent patients undergoing HD demonstrated that apo B/apo A1 ratio was an independent risk factor of CV (HR, 1.38; 95% CI, 1.11–1.71; P = 0.004) and all-cause (HR, 1.16; 95% CI, 1.00–1.35; P = 0.046) mortality (16). Two small-sample retrospectively cohort studies conducted on PD patients also supported the positive association of apo B/apo A1 ratio with CV mortality (17, 18), which was consistent with our conclusions. Heterogeneity exists between PD and HD. For PD patients, most of the substrate required for increased lipoprotein synthesis are derived from a large amount of glucose absorbed by long-term exposure to dextrose-containing peritoneal dialysate (22). On the other hand, continuous loss of protein in peritoneal dialysate increases the compensatory synthesis of protein by liver similar to that of nephrotic syndrome (23, 24). These factors may make the lipid profile of PD patients more atherogenic than HD patients, which was supported by the results of higher apo B/apo A1 ratio, apo B, LDL-C and TG levels, and lower apo A1 and HDL-C levels in our study compared with the cohort in Sato et al. study (16). The study of Little et al. showed that the atherogenic condition of the lipid profile of PD patients worsened over time (13), which may be associated with the different etiology spectrum of CV mortality between PD and HD patients. Different etiology spectrum may contribute to the relationship between lipid parameters and prognosis in patients with ESRD. Our study pointed out that atherosclerotic events accounted for the majority of CV mortality in patients undergoing PD, the pathophysiological basis of which is mainly atherosclerosis and vascular occlusion caused by the formation and rupture of fibrous plaque (25). Increased lipoproteins enter the intima and promote the progression of atherosclerosis by depositing their cholesterol components in the atherosclerotic lesions to form fibrous plaques (26). When the plaque ruptures, it may occur vascular occlusive atherosclerotic events. In terms of HD, it has been reported that the main causes of CV mortality are non-atherosclerotic CV events (1, 27), the pathophysiological basis of which is mainly structural and functional cardiac abnormalities caused by increased arteriosclerosis (25). Anemia, calcium and phosphorus metabolism disorders, chronic inflammation, and increased advanced glycation end products, which are common to patients with ESRD, were closely associated with increased thickness and stiffness of arterial wall (25, 28, 29). Arteriosclerosis eventually leads to diastolic and systolic dysfunction and congestive heart failure (25). Two studies from the Study of Heart and Renal Protection (SHARP) trial, demonstrated that those lipoprotein components with pro-atherosclerotic effect indeed had a positive association with atherosclerotic CV mortality but negatively related to non-atherosclerotic CV mortality (30, 31). The competing risk regression analysis in our study showed that apo B/apo A1 ratio was positively associated with atherosclerotic CV mortality but was not associated with non-atherosclerotic CV mortality. All of these findings indicated that it is very necessary to distinct the etiology of CV mortality when exploring the relationship between lipid parameters and CV mortality in ESRD patients.

In addition to etiology, follow-up time is another important factor (32). Our study and Chmielewski et al. observed that higher apo B/apo A1 ratio level was associated with a survival advantage during 1 year follow-up period but poor clinical outcomes during nearly 4 years of follow-up (33). We speculated that apo B/apo A1 ratio was more likely to reflect energy metabolism and nutritional status in the short-term (34), but the pro-atherosclerotic effect gradually took effect over time. It is warranted to monitor the dynamic changes of the apo B/apo A1 ratio during the follow-up periods and carry out a time-stratified Cox regression analysis in the future.

Several studies have mentioned that apo B/apo A1 ratio was closely related to diabetes (35, 36), but whether the ratio had a diabetes-related difference in mortality is still unknown. As far as we know, our study is the first to examine the association of apo B/apo A1 ratio with survival by diabetes in patients with ESRD. Insulin resistance (IR) is a key feature common to type 2 diabetes (37). It can reduce insulin-mediated inhibition of hormone-sensitive lipase activity, which leads to lipolysis in adipose tissue, which increases free fatty acid (FFA) production in the circulation and delivery to the liver, which increases liver synthesis and secretion of TG (38). Exposure of the endothelium to high FFA levels may impair the activation of the basal and insulin-stimulated phosphatidylinositol 3-kinase (PI3K)/protein kinase B (PKB)/endothelial nitric oxide synthase signaling pathway, thereby reducing the production and activity of nitric oxide (39, 40). The inhibition of the PI3K/PKB signaling pathway may amplify the effect of the insulin-stimulated mitogen activated protein kinase (MAPK) signaling pathway with pro-atherogenic property (37), which can stimulate the production of endothelin-1 (41) and plasminogen activator inhibitor 1, control the growth and migration of vascular smooth muscle cells, and promote the aggregation of platelets (37, 42, 43). Long-term and continuous absorption of a large amount of glucose from peritoneal dialysate makes IR and compensatory hyperinsulinemia more serious in PD patients with diabetes. Therefore, IR may be the root cause of the diabetes-related difference in the impact of apo B/apo A1 ratio on mortality.

There are several limitations of this study that cannot be ignored. First, as described in the study conducted by Little et al., the lipid profile of PD patients changed dynamically and its atherogenic property progressively worsened over time (13), only using the baseline levels instead of dynamic changes for analysis in this study may underestimate the atherogenic profile over time. Second, some confounding factors that may have an impact on the prognosis, including solute transfer rate and glucose prescription, were not available in our data set, which may partially bias the results. Lastly, all participants came from a single center in China, which may limit the expansion of the conclusions to other people of different ethnicities.

In summary, we concluded that elevated apo B/apo A1 ratio level was significantly associated with increased risk of CV, all-cause, and atherosclerotic CV mortality in patients undergoing PD. Moreover, the association was especially statistically significant in patients with diabetes. In the future, more multiple-center studies are needed to verify our conclusions and evaluate whether the reduction of apo B/apo A1 ratio levels can improve the survival of PD patients, especially those with diabetes.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The studies involving human participants were reviewed and approved by the Clinical Research Ethics Committee of the First Affiliated Hospital of Sun Yat-sen University. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

JY, XX, and F-XH did the concept and design the study. JY, N-YH, and Y-GQ collected the data. JY, XX, and Y-GQ analyzed the data. JY, XX, N-YH, and WC performed statistical analyses. JY drafted the manuscript. XX, N-YH, XY, H-PM, WC, and F-XH revised and completed the manuscript. All authors critically revised the manuscript, approved the final version to be published, and agreed to be accountable for all aspects of the work.

Funding

This work was funded by the National Natural Science Foundation of China (grant no. 81870575), the Natural Science Foundation of Guangdong Province (grant no. 2019A1515010992), the Operational Grant of Guangdong Provincial Key Laboratory (grant no. 2020B1212060028), the Key Laboratory of National Health Commission; the National Key R&D Program of China (grant nos. 2016YFC0906100 and 2016YFC0906101), the Guangdong Provincial Program of Science and Technology (grant no. 2017A050503003), and the Guangzhou Municipal Program of Science and Technology (grant no. 201704020167). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fnut.2022.801979/full#supplementary-material

Supplementary Figure 1 | Subgroup analyses of relationship of apolipoprotein B/apolipoprotein A1 ratio with the risk of CV (A), all-cause (B), and atherosclerotic CV (C) mortality stratified by several groups of clinical parameters. CI, confidence interval; CV, cardiovascular.

Abbreviations

Apo A1, apolipoprotein A1; Apo B, apolipoprotein B; BMI, body mass index; CI, confidence interval; CIF, cumulative incidence function; CKD, chronic kidney disease; CV, cardiovascular; DBP, diastolic blood pressure; eGFR, estimated glomerular filtration rate; ESRD, end-stage renal disease; FFA, free fatty acid; HD, hemodialysis; HDL-C, high-density lipoprotein cholesterol; HR, hazard ratio; Hs-CRP, hypersensitive C-reactive protein; IR, insulin resistance; LDL-C, low-density lipoprotein cholesterol; MAPK, mitogen activated protein kinase; PD, peritoneal dialysis; PI3K, phosphatidylinositol 3-kinase; PKB, protein kinase B; Q1 to Q4, lowest to highest quartile; SBP, systolic blood pressure; SD, standard deviation; SHARP, Study of Heart and Renal Protection; SHR, subdistribution hazard ratio; SYSU, Sun Yat-sen University; TC, total cholesterol; TG, triglycerides.

References

1. Saran R, Robinson B, Abbott KC, Agodoa LY, Albertus P, Ayanian J, et al. US renal data system 2016 annual data report: epidemiology of kidney disease in the United States. Am J Kidney Dis. (2017) 69:A7–8. doi: 10.1053/j.ajkd.2016.12.004

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Kon V, Yang H, Fazio S. Residual cardiovascular risk in chronic kidney disease: role of high-density lipoprotein. Arch Med Res. (2015) 46:379–91. doi: 10.1016/j.arcmed.2015.05.009

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Baigent C, Landray MJ, Reith C, Emberson J, Wheeler DC, Tomson C, et al. The effects of lowering LDL cholesterol with simvastatin plus ezetimibe in patients with chronic kidney disease (study of heart and renal protection): a randomised placebo-controlled trial. Lancet. (2011) 377:2181–92. doi: 10.1016/s0140-6736(11)60739-3

CrossRef Full Text | Google Scholar

4. Kaysen GA. Hyperlipidemia of chronic renal failure. Blood Purif. (1994) 12:60–7. doi: 10.1159/000170146

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Sarwar N, Sandhu MS, Ricketts SL, Butterworth AS, Di Angelantonio E, Boekholdt SM, et al. Triglyceride-mediated pathways and coronary disease: collaborative analysis of 101 studies. Lancet. (2010) 375:1634–9. doi: 10.1016/s0140-6736(10)60545-4

CrossRef Full Text | Google Scholar

6. Silverman MG, Ference BA, Im K, Wiviott SD, Giugliano RP, Grundy SM, et al. Association between lowering LDL-C and cardiovascular risk reduction among different therapeutic interventions: a systematic review and meta-analysis. Jama. (2016) 316:1289–97. doi: 10.1001/jama.2016.13985

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Sandesara PB, Virani SS, Fazio S, Shapiro MD. The forgotten lipids: triglycerides, remnant cholesterol, and atherosclerotic cardiovascular disease risk. Endocr Rev. (2019) 40:537–57. doi: 10.1210/er.2018-00184

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Andrikoula M, McDowell IF. The contribution of ApoB and ApoA1 measurements to cardiovascular risk assessment. Diabetes Obes Metab. (2008) 10:271–8. doi: 10.1111/j.1463-1326.2007.00714.x

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Koch M, Kutkuhn B, Trenkwalder E, Bach D, Grabensee B, Dieplinger H, et al. Apolipoprotein B, fibrinogen, HDL cholesterol, and apolipoprotein(a) phenotypes predict coronary artery disease in hemodialysis patients. J Am Soc Nephrol. (1997) 8:1889–98. doi: 10.1681/asn.V8121889

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Song Y, Yang Y, Zhang J, Wang Y, He W, Zhang X, et al. The apoB100/apoAI ratio is independently associated with the severity of coronary heart disease: a cross sectional study in patients undergoing coronary angiography. Lipids Health Dis. (2015) 14:150. doi: 10.1186/s12944-015-0155-6

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Chang TI, Streja E, Soohoo M, Kim TW, Rhee CM, Kovesdy CP, et al. Association of serum triglyceride to HDL cholesterol ratio with all-cause and cardiovascular mortality in incident hemodialysis patients. Clin J Am Soc Nephrol. (2017) 12:591–602. doi: 10.2215/cjn.08730816

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Wu H, Xiong L, Xu Q, Wu J, Huang R, Guo Q, et al. Higher serum triglyceride to high-density lipoprotein cholesterol ratio was associated with increased cardiovascular mortality in female patients on peritoneal dialysis. Nutr Metab Cardiovasc Dis. (2015) 25:749–55. doi: 10.1016/j.numecd.2015.05.006

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Little J, Phillips L, Russell L, Griffiths A, Russell GI, Davies SJ. Longitudinal lipid profiles on CAPD: their relationship to weight gain, comorbidity, and dialysis factors. J Am Soc Nephrol. (1998) 9:1931–9. doi: 10.1681/asn.V9101931

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Noh HW, Jeon Y, Kim JH, Lee GY, Jeon SJ, Kim KY, et al. Higher serum total cholesterol to high-density lipoprotein cholesterol ratio is associated with increased mortality among incident peritoneal dialysis patients. Nutrients. (2021) 14:144. doi: 10.3390/nu14010144

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Kaysen GA, Grimes B, Dalrymple LS, Chertow GM, Ishida JH, Delgado C, et al. Associations of lipoproteins with cardiovascular and infection-related outcomes in patients receiving hemodialysis. J Clin Lipidol. (2018) 12: 481–487.e14. doi: 10.1016/j.jacl.2017.12.007

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Sato Y, Fujimoto S, Toida T, Nakagawa H, Yamashita Y, Iwakiri T, et al. Apoprotein B/Apoprotein A-1 ratio and mortality among prevalent dialysis patients. Clin J Am Soc Nephrol. (2016) 11:840–6. doi: 10.2215/cjn.09830915

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Zhan X, Chen Y, Yan C, Liu S, Deng L, Yang Y, et al. Apolipoprotein B/apolipoprotein A1 ratio and mortality among incident peritoneal dialysis patients. Lipids Health Dis. (2018) 17:117. doi: 10.1186/s12944-018-0771-z

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Chen T, Yang M. Apo A1/Apo B ratio and acute coronary syndrome among peritoneal dialysis patients. Ren Fail. (2021) 43:737–42. doi: 10.1080/0886022x.2021.1918556

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Samouilidou EC, Karpouza AP, Kostopoulos V, Bakirtzi T, Pantelias K, Petras D, et al. Lipid abnormalities and oxidized LDL in chronic kidney disease patients on hemodialysis and peritoneal dialysis. Ren Fail. (2012) 34:160–4. doi: 10.3109/0886022x.2011.641515

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Xia X, He F, Wu X, Peng F, Huang F, Yu X. Relationship between serum uric acid and all-cause and cardiovascular mortality in patients treated with peritoneal dialysis. Am J Kidney Dis. (2014) 64:257–64. doi: 10.1053/j.ajkd.2013.08.027

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Yu J, Xia X, Lin T, Huang N, Qiu Y, Yang X, et al. Non-high-density lipoprotein cholesterol and mortality among peritoneal dialysis patients. J Clin Lipidol. (2021) 15:732–42. doi: 10.1016/j.jacl.2021.06.005

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Johansson AC, Samuelsson O, Attman PO, Haraldsson B, Moberly J, Knight-Gibson C, et al. Dyslipidemia in peritoneal dialysis–relation to dialytic variables. Perit Dial Int. (2000) 20:306–14. doi: 10.1177/089686080002000307

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Attman PO, Samuelsson OG, Moberly J, Johansson AC, Ljungman S, Weiss LG, et al. Apolipoprotein B-containing lipoproteins in renal failure: the relation to mode of dialysis. Kidney Int. (1999) 55:1536–42. doi: 10.1046/j.1523-1755.1999.00375.x

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Moberly JB, Attman PO, Samuelsson O, Johansson AC, Knight-Gibson C, Alaupovic P. Alterations in lipoprotein composition in peritoneal dialysis patients. Perit Dial Int. (2002) 22:220–8. doi: 10.1177/089686080202200209

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Chue CD, Townend JN, Steeds RP, Ferro CJ. Arterial stiffness in chronic kidney disease: causes and consequences. Heart. (2010) 96:817–23. doi: 10.1136/hrt.2009.184879

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Varbo A, Benn M, Tybjærg-Hansen A, Jørgensen AB, Frikke-Schmidt R, Nordestgaard BG. Remnant cholesterol as a causal risk factor for ischemic heart disease. J Am Coll Cardiol. (2013) 61:427–36. doi: 10.1016/j.jacc.2012.08.1026

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Herrington WG, Emberson J, Mihaylova B, Blackwell L, Reith C, Solbu MD, et al. Impact of renal function on the effects of LDL cholesterol lowering with statin-based regimens: a meta-analysis of individual participant data from 28 randomised trials. Lancet Diabetes Endocrinol. (2016) 4:829–39. doi: 10.1016/s2213-8587(16)30156-5

CrossRef Full Text | Google Scholar

28. Edwards NC, Moody WE, Chue CD, Ferro CJ, Townend JN, Steeds RP. Defining the natural history of uremic cardiomyopathy in chronic kidney disease: the role of cardiovascular magnetic resonance. JACC Cardiovasc Imaging. (2014) 7:703–14. doi: 10.1016/j.jcmg.2013.09.025

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Moody WE, Edwards NC, Chue CD, Ferro CJ, Townend JN. Arterial disease in chronic kidney disease. Heart. (2013) 99:365–72. doi: 10.1136/heartjnl-2012-302818

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Storey BC, Staplin N, Haynes R, Reith C, Emberson J, Herrington WG, et al. Lowering LDL cholesterol reduces cardiovascular risk independently of presence of inflammation. Kidney Int. (2018) 93:1000–7. doi: 10.1016/j.kint.2017.09.011

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Lamprea-Montealegre JA, Staplin N, Herrington WG, Haynes R, Emberson J, Baigent C, et al. Apolipoprotein B, triglyceride-rich lipoproteins, and risk of cardiovascular events in persons with CKD. Clin J Am Soc Nephrol. (2020) 15:47–60. doi: 10.2215/cjn.07320619

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Dekker FW, de Mutsert R, van Dijk PC, Zoccali C, Jager KJ. Survival analysis: time-dependent effects and time-varying risk factors. Kidney Int. (2008) 74:994–7. doi: 10.1038/ki.2008.328

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Chmielewski M, Carrero JJ, Qureshi AR, Axelsson J, Heimbürger O, Berglund L, et al. Temporal discrepancies in the association between the apoB/apoA-I ratio and mortality in incident dialysis patients. J Intern Med. (2009) 265:708–16. doi: 10.1111/j.1365-2796.2009.02074.x

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Ahmadi SF, Streja E, Zahmatkesh G, Streja D, Kashyap M, Moradi H, et al. Reverse epidemiology of traditional cardiovascular risk factors in the geriatric population. J Am Med Dir Assoc. (2015) 16:933–9. doi: 10.1016/j.jamda.2015.07.014

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Zheng S, Han T, Xu H, Zhou H, Ren X, Wu P, et al. Associations of apolipoprotein B/apolipoprotein A-I ratio with pre-diabetes and diabetes risks: a cross-sectional study in Chinese adults. BMJ Open. (2017) 7:e014038. doi: 10.1136/bmjopen-2016-014038

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Mao Y, Xu Y, Lu L. The nonlinear association between apolipoprotein B to apolipoprotein A1 ratio and type 2 diabetes. Medicine (Baltimore). (2017) 96:e5834. doi: 10.1097/md.0000000000005834

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Del Turco S, Gaggini M, Daniele G, Basta G, Folli F, Sicari R, et al. Insulin resistance and endothelial dysfunction: a mutual relationship in cardiometabolic risk. Curr Pharm Des. (2013) 19:2420–31. doi: 10.2174/1381612811319130010

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Sniderman AD, Faraj M. Apolipoprotein B, apolipoprotein A-I, insulin resistance and the metabolic syndrome. Curr Opin Lipidol. (2007) 18:633–7. doi: 10.1097/MOL.0b013e3282f0dd33

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Belfort R, Mandarino L, Kashyap S, Wirfel K, Pratipanawatr T, Berria R, et al. Dose-response effect of elevated plasma free fatty acid on insulin signaling. Diabetes. (2005) 54:1640–8. doi: 10.2337/diabetes.54.6.1640

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Wang XL, Zhang L, Youker K, Zhang MX, Wang J, LeMaire SA, et al. Free fatty acids inhibit insulin signaling-stimulated endothelial nitric oxide synthase activation through upregulating PTEN or inhibiting Akt kinase. Diabetes. (2006) 55:2301–10. doi: 10.2337/db05-1574

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Potenza MA, Marasciulo FL, Chieppa DM, Brigiani GS, Formoso G, Quon MJ, et al. Insulin resistance in spontaneously hypertensive rats is associated with endothelial dysfunction characterized by imbalance between NO and ET-1 production. Am J Physiol Heart Circ Physiol. (2005) 289:H813–22. doi: 10.1152/ajpheart.00092.2005

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Montagnani M, Golovchenko I, Kim I, Koh GY, Goalstone ML, Mundhekar AN, et al. Inhibition of phosphatidylinositol 3-kinase enhances mitogenic actions of insulin in endothelial cells. J Biol Chem. (2002) 277:1794–9. doi: 10.1074/jbc.M103728200

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Mukai Y, Wang CY, Rikitake Y, Liao JK. Phosphatidylinositol 3-kinase/protein kinase Akt negatively regulates plasminogen activator inhibitor type 1 expression in vascular endothelial cells. Am J Physiol Heart Circ Physiol. (2007) 292:H1937–42. doi: 10.1152/ajpheart.00868.2006

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: apolipoprotein, peritoneal dialysis, survival, diabetes, atherosclerosis, cohort study

Citation: Yu J, Xia X, Huang N-Y, Qiu Y-G, Yang X, Mao H-P, Chen W and Huang F-X (2022) Association of Ratio of Apolipoprotein B to Apolipoprotein A1 With Survival in Peritoneal Dialysis. Front. Nutr. 9:801979. doi: 10.3389/fnut.2022.801979

Received: 26 October 2021; Accepted: 02 March 2022;
Published: 25 March 2022.

Edited by:

Luigi Iuliano, Sapienza University of Rome, Italy

Reviewed by:

Hubert Scharnagl, Medical University of Graz, Austria
Simon J. Davies, Keele University, United Kingdom

Copyright © 2022 Yu, Xia, Huang, Qiu, Yang, Mao, Chen and Huang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Wei Chen, chenwei99@mail.sysu.edu.cn; Feng-Xian Huang, huangfx@mail.sysu.edu.cn

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.