Abstract
Objective
Cardiovascular autonomic neuropathy is highly prevalent in patients with end-stage renal disease (ESRD), and it has a high fatality rate. This study aimed to determine whether peritoneal dialysis (PD) improves cardiovascular autonomic function (CAF) and decreases protein-bound uremic toxin (indoxyl sulfate [IS], p-cresyl sulfate [PCS]) levels.
Methods
IS and PCS levels, and parameters of CAF (heart rate response to deep breathing [HR_DB], the Valsalva ratio, baroreflex sensitivity, and the frequency domain) were prospectively evaluated in 26 patients with ESRD undergoing PD at two time points (pre-PD and 6 months post-PD). For comparison, 19 consecutive patients with pre-dialysis chronic kidney disease and 30 age- and sex-matched healthy volunteers were included as the disease and control groups, respectively.
Results
Baroreflex sensitivity, HR_DB, and the Valsalva ratio were significantly lower in the ESRD and disease groups than in the control group. IS and PCS levels were significantly higher in the ESRD group than in the control group. Sympathetic/parasympathetic activity was improved after PD. IS levels were significantly decreased after PD and IS level changes were correlated with the frequency domain.
Conclusions
IS may play a role in cardiovascular autonomic neuropathy, and decreased IS levels after dialysis are associated with sympathetic/parasympathetic activity imbalance.
Keywords: Cardiovascular autonomic function, end-stage renal disease, indoxyl sulfate, protein-bound uremic toxin, p-cresyl sulfate, peritoneal dialysis
Background
Autonomic dysfunction is highly prevalent in chronic kidney diseases (CKD) and occurs in >50% of patients undergoing hemodialysis (HD).1 Cardiovascular autonomic neuropathy (CAN), which is imbalance of sympathetic/parasympathetic activity, appears to be mainly due to uremia and its consequences. CAN is associated with worse outcomes of patients and a risk of cardiovascular disease (CVD) in a number of human pathologies.2,3
CAN, which has a length-dependent pattern, is a common condition, but it is one of the most overlooked complications of end-stage renal disease (ESRD).3,4 The vagus nerve is responsible for approximately 75% of parasympathetic activity in humans and can be damaged in the early phase of CAN.5 In this situation, parasympathetic activity contributes to sympathetic predominance. Sympathetic hyperactivity plays an important and distinct role in hypertension associated with CKD. In addition to the underlying autonomic imbalance, the pathophysiological mechanism of development of CAN in involves multiple factors, including cardiovascular risk factors,6 interaction between uremic toxins (e.g., indoxyl sulfate [IS], p-cresyl sulfate [PCS], and uric acid) and inflammation, biomarkers of oxidative stress and endothelial dysfunction (e.g., interleukin-1β, interleukin -6, and tumor necrosis factor-α),7 altered cerebral perfusion,8,9 renal ischemia, elevated levels of angiotensin II, and suppressed levels of brain nitric oxide, which all stimulate sympathetic activity.5 As CAN progresses, sympathetic denervation occurs in the late stage of this disease.
A growing number of studies have confirmed the toxicity of the protein-bound uremic retention solutes IS and PCS, and their role in progression of vascular and renal disease, as well as in increasing the risk of CVD.10–13 With regard to the relationship between CAN and uremic toxins in ESRD, there is a paucity of information on the role of uremic toxins in the severity of CAN. Exploration of this relationship could aid in developing therapeutic strategies that could prevent CAN or mitigate its severity in patients with ESRD.
Therefore, in this study, we tested the hypotheses that toxicity of the protein-bound uremic toxins IS and PCS contributes to the severity of CAN, and that peritoneal dialysis (PD) not only decreases the levels of protein-bound uremic toxins (IS and PCS), but also improves cardiovascular autonomic function. Successful translation of these approaches to the clinical setting offers the promise of reducing CVD and improving the quality of life of patients.
Materials and Methods
Study design
This single-center, prospective case–control study was conducted at Chang Gung Memorial Hospital-Kaohsiung, which is a medical center and the main referral hospital serving an area with 3 million inhabitants in southern Taiwan.
Participants
This prospective study recruited 26 consecutive patients (age, ≥20 years) with ESRD with a disease duration of >3 months who were evaluated for PD therapy. Patients were enrolled in this study only if full written informed consent was obtained from the patients or their families. Informed consent was obtained from all of the study subjects. For comparison, 19 consecutive patients (age, ≥20 years) with pre-dialysis CKD (CKD stages 3–4) were included as disease controls and 30 age- and sex-matched healthy volunteers were included as healthy controls (Table 1). The exclusion criteria were as follows: 1) moderate-to-severe heart failure (New York Heart Association classes III and IV); 2) any type of arrhythmia that prevents analysis of heart rate variability (HRV) or pacemaker implantation; and 3) degenerative disorders known to affect the autonomic system. Patients were enrolled in this study only if they or their families provided full written informed consent. Informed consent was obtained from all study subjects. The study protocol was approved by Chang Gung Memorial Hospital’s Institutional Review Committee on Human Research (CGMH IRB 103-0367B).
Table 1.
Baseline characteristics and laboratory data of patients and controls.
| Characteristics | ESRD group (n = 26) |
Disease group (n = 19) |
Control group (n = 30) |
P value |
|---|---|---|---|---|
| Age (years) (mean ± SD) | 56.4 ± 9.6 | 66.8 ± 8.0 | 59.9 ± 6.5 | 0.12 |
| Male/female | 15/11 | 12/7 | 20/10 | 0.14 |
| Underlying diseases | ||||
| Hypertension (n, %) | 19 (73.1) | 13 (68.4) | — | |
| Diabetes mellitus (n, %) | 12 (46.1) | 14 (73.7) | — | |
| Dyslipidemia (n, %) | 8 (30.7) | 6 (31.6) | — | |
| Presence of CVD history (n, %) | 2 (7.7) | 1 (5.2) | — | |
| Alcoholism | 4 (15.4) | — | — | |
| Smoking | 3 (11.5) | — | — | |
| Laboratory data | ||||
| Total cholesterol (mmol/L) | 4.86 ± 1.19 | 4.44 ± 1.36 | 4.92 ± 0.72 | 0.43 |
| LDL-cholesterol (mmol/L) | 2.61 ± 0.91 | 4.05 ± 0.79 | 2.90 ± 0.67 | 0.59 |
| Hemoglobin, g/L | 99 ± 15 | 123 ± 20 | 133 ± 15 | 0.41 |
| hematocrit (%) | 29.8 ± 4.9 | 36.9 ± 5.4 | 40.4 ± 3.6 | 0.20 |
| eGFR (mL/minute/1.73 m2) | 5.2 ± 2.1 | 39.8 ± 13.6 | 102.7 ± 15.4 | <0.001 |
| Blood urea nitrogen (mmol/L) | 35.1 ± 17.9 | 12.0 ± 11.6 | 5.2 ± 1.2 | <0.001 |
| Creatinine (mmol/L) | 1043.1 ± 300.6 | 167.9 ± 88.4 | 61.9 ± 8.8 | <0.001 |
| Calcium (µmol/L) | 2.18 ± 0.3 | 2.25 ± 0.05 | 2.28 ± 0.08 | 0.001 |
| Phosphorus (mmol/L) | 1.52 ± 0.48 | 1.19 ± 0.32 | NA | |
| Protein-bound uremic toxin | ||||
| Indoxyl sulfate (μg/mL) | 16.0 ± 8.7 | NA | 2.1 ± 1.4 | <0.001α |
| p-Cresol sulfate (μg/mL) | 4.4 ± 2.6 | NA | 2.7 ± 2.7 | 0.026α |
Values are expressed as mean ± SD unless otherwise indicated.
ESRD, end-stage renal disease; SD, standard deviation; CVD, cardiovascular disease; LDL, low-density lipoprotein; eGFR, estimated glomerular filtration rate; NA, not available.
α = The difference in protein-bound uremic toxin was compared between the ESRD and control groups by the independent-t test.
Clinical and laboratory assessments
Demographic data, risk factors, and a history of previous vascular events (i.e., myocardial infarction and coronary artery disease) were obtained at baseline. In all subjects, blood pressure (BP) was checked using a mercury sphygmomanometer after 5 minutes of rest. For each patient, two BP readings, separated by 2 minutes, were made and the average was taken. Vascular risk factors included hypertension, which was defined as a systolic BP of >140 mm Hg and/or a diastolic BP of >90 mm Hg, or use of antihypertensive medications. Other vascular risk factors were diabetes mellitus, which was defined as elevated blood glycohemoglobin levels (glycated hemoglobin levels >6.5%) or current use of antidiabetic medications, and dyslipidemia, which was defined as total cholesterol levels >5.18 mmol/L, triglyceride levels >2.03 mmol/L, or current use of lipid-lowering medications. Current cigarette smoking was defined as smoking within the last 5 years, whereas former cigarette smoking was defined as abstention from smoking for >5 years.
Blood biochemical tests for hemoglobin, hematocrit, serum urea, serum creatinine, estimated glomerular filtration rate, calcium, phosphorus, and albumin levels were conducted in all patients with ESRD at baseline (on day 1 before stable PD treatment) and at 6 months after undergoing stable PD. No blood biochemical tests were conducted in the control group.
Assessment of cardiovascular autonomic function
All autonomic function tests were performed on day 1 before stable PD treatment and at 6 months after maintaining PD therapy. These tests were scheduled in the morning between 8 am and 12 pm on the day of the study. No coffee, food, alcohol, or nicotine was permitted 4 hours before testing. All subjects underwent standardized evaluation of cardiovascular autonomic function.
Heart rate was derived from a continuously recorded standard three-lead electrocardiogram (Ivy Biomedical, model 3000; Branford, CT, USA), while arterial BP was continuously measured using beat-to-beat photoplethysmographic recordings (Finameter Pro, Ohmeda; Englewood, OH, USA). The following parameters were obtained through tests computed by Testworks (WR Medical Electronics Company, Stillwater, MN, USA): the heart rate response to deep breathing (HR_DB), the Valsalva ratio (VR), and baroreflex sensitivity (BRS). The VR was defined as the maximum heart rate during the Valsalva maneuver divided by the lowest heart rate obtained within 30 s of the peak heart rate. BRS was evaluated as the slope of the regression line fitting the relationship between changes in heart rate and the change in systolic arterial pressure elicited by the Valsalva maneuver.14 HR_DB (beats/minute) is a measure for respiratory sinus arrhythmia. The detailed calculation of HR_DB and VR was performed as described by Low.15
Beat-to-beat R–R interval changes were interpolated using a third-order polynomial and were re-sampled with 0.5-second intervals. The signals were then transformed to the frequency domain with fast Fourier transform by using 512 samples. Spectral powers were divided into three frequency domains of high frequency (HF, 0.15–0.4 Hz), low frequency (LF, 0.04–0.15 Hz), and very low frequency (VLF, 0–0.04 Hz).16 The ratio between powers of LF and HF (LF/HF ratio) represented an index of sympatho-vagal balance.
Measurement of serum PCS and IS levels
Human serum samples (50 mL) were pretreated with 1400 mL acetonitrile to precipitate proteins. The serum samples were shaken by vortex for 5 minutes, followed by centrifugation at 13,400 × g for 20 minutes at 4°C. PCS and IS levels were detected using a tandem mass spectrometer (Thermo Finnigan TSQ Quantum Ultra Mass Spectrometer; Thermo Fisher Scientific Inc., Waltham, MA, USA). The detailed methodology used was according to a previous study.17
Statistical analysis
Data are expressed as mean ± standard derivation or median (interquartile range). Categorical variables were compared with the c2 or Fisher’s exact test. Continuous variables that were not normally distributed were logarithmically transformed to improve normality. Continuous variables were compared using the Student’s t-test or one way analysis of variance followed by Bonferroni’s multiple comparison for a post-hoc test. Three separate statistical analyses were performed. First, the demographic data and cardiovascular autonomic function parameters of the ESRD and control groups were compared. Second, changes between baseline and 6-month post-PD biomarker values (protein-bound uremic toxins) and parameters of cardiovascular autonomic function were compared using the paired t-test. Third, the changes in each parameter over 6 months were defined as 6-month follow-up data minus baseline data. Additionally, correlation analysis was used to determine the relationships between changes in protein-bound uremic toxins and changes in parameters of cardiovascular autonomic function. All statistical analyses were conducted using the SAS software package, version 9.1 (2002; SAS Statistical Institute, Cary, NC, USA).
Results
Demographic characteristics of the subjects
The demographic data of the patients with ESRD, those with diseases, and the healthy controls are shown in Table 1. The 26 patients with ESRD (mean age, 56.4 ± 9.6 years) included 15 men and 11 women. Age and sex were similar between the three groups. Of the subjects, 28 had one or more underlying diseases or factors, including hypertension, diabetes mellitus, hyperlipidemia, coronary artery disease, and smoking. IS and PCS levels were significantly higher in the ESRD group than in the control group (both P < 0.05). Blood biochemical test results, such as hemoglobin, hematocrit, blood urea nitrogen, creatinine, calcium, and phosphorus levels, among the three groups are also shown in Table 1.
Comparison of autonomic function among the three groups
In terms of autonomic function, VR, HR_DB, and BRS were significantly different among the three groups (Table 2) (all P < 0.01). Post-hoc testing showed that VR, HR_DB, and BRS were significantly higher in the control group than in the ESRD and disease groups (all P < 0.05). However, there were no significant differences in VR, HR_DB, and BRS between the disease and ESRD groups. For parameters of spectral analysis, LF, HF, and the LF/HF ratio were significantly different among the three groups (all P = 0.03). Post-hoc testing showed that LF was significantly higher, the HF ratio was significantly lower, and the LF/HF ratio was significantly higher in the control group than in the ESRD group (all P < 0.05).
Table 2.
Cardiovascular autonomic function in patients and controls.
| ESRD group (n = 26) |
Disease group (n = 19) |
Control group (n = 30) |
P value | |
|---|---|---|---|---|
| Spectral analysis | ||||
| LF, normalized unit | 40.3 ± 21.3 | 41.9 ± 22.4 | 54.4 ± 17.7 | 0.03α |
| HF, normalized unit | 57.1 ± 20.1 | 57.8 ± 22.5 | 45.4 ± 17.7 | 0.034β |
| LF/HF ratio | 1.0 ± 0.93 | 1.1 ± 1.1 | 1.6 ± 1.1 | 0.03γ |
| Cardio-vagal autonomic function | ||||
| Valsalva ratio | 1.3 ± 0.3 | 1.3 ± 0.1 | 1.5 ± 0.2 | 0.002δ |
| HR_DB (beats/minute) | 5.3 ± 3.9 | 5.4 ± 3.7 | 10.6 ± 7.3 | <0.0001ε |
| Baroreflex sensitivity | 4.8 ± 2.5 | 4.3 ± 2.8 | 7.6 ± 3.2 | <0.0001ζ |
All values are mean ± standard deviation.
LF, low frequency; HF, high frequency; HR_DB, heart rate response to deep breathing, ESRD, end-stage renal disease
Bonferroni’s multiple comparisons for post-hoc tests:
α = ESRD group vs. control group, P = 0.042.
β = ESRD group vs. control group, P = 0.047.
γ = ESRD group vs. control group, P = 0.045.
δ = ESRD group vs. control group, P = 0.0008; disease group vs. control group, P = 0.011.
ε = ESRD group vs. control group, P < 0.0001; disease group vs. control group, P = 0.001.
ζ = ESRD group vs. control group, P < 0.0001; disease group vs. control group, P < 0.0001.
Comparisons of autonomic parameters and uremic toxins before and after PD therapy
With regard to the parameters of spectral analysis, LF, HF, and the LF/HF ratio were significantly different after PD. Mean LF was significantly higher after PD compared with before PD (P = 0.03). Mean HF was significantly lower after PD compared with before PD (P = 0.045). The mean LF/HF ratio was significantly higher after PD compared with before PD (P = 0.03). With regard to cardiovascular autonomic parameters, parameters of cardiovagal function, including VR, HR_DB, and BRS, were all increased after PD compared with before PD, although this did not reach statistical significance (Table 3). With regard to protein-bound uremic toxin levels, the mean IS level was significantly decreased after PD compared with before PD (P = 0.004), with no change in the mean PCS level (Table 3).
Table 3.
Changes in protein-bound uremic toxins and cardiovascular autonomic parameters before and after PD in patients with end-stage renal disease.
| PD treatment |
P value | ||
|---|---|---|---|
| Before | After | ||
| Autonomic function testing | |||
| Frequency domain | |||
| LF, normalized unit | 40.3 ± 21.3 | 55.3 ± 20.7 | 0.03 |
| HF, normalized unit | 57.1 ± 20.1 | 43.1 ± 20.3 | 0.045 |
| LF/HF | 1.1 ± 0.9 | 2.0 ± 1.4 | 0.03 |
| Valsalva ratio | 1.2 ± 0.3 | 1.3 ± 0.2 | 0.97 |
| HR_DB (beats/minute) | 5.1 ± 3.9 | 5.8 ± 3.6 | 0.26 |
| Baroreflex sensitivity | 4.5 ± 2.5 | 5.6 ± 3.7 | 0.26 |
| Protein-bound uremic toxin | |||
| Indoxyl sulfate (μg/mL) | 17.6 ± 8.7 | 11.7 ± 5.3 | 0.004 |
| p-Cresol sulfate (μg/mL) | 4.6 ± 2.7 | 3.7 ± 1.9 | 0.17 |
| Clinical and biochemical characteristics | |||
| Systolic blood pressure(mmHg) | 157.4 ± 40.9 | 134.2 ± 14.9 | 0.192 |
| Diastolic blood pressure (mmHg) | 87.0 ± 17.9 | 77.6 ± 8.4 | 0.191 |
| Hemoglobin (g/L) | 98 ± 11 | 105 ± 13 | 0.054 |
| Albumin (g/L) | 35 ± 5 | 35 ± 4 | 0.587 |
All values are mean ± standard deviation.
PD, peritoneal dialysis, LF, low frequency; HF, high frequency; HR_DB, heart rate response to deep breathing.
Correlations between uremic toxins and autonomic function parameters in patients with ESRD undergoing PD therapy
Correlation analysis was conducted to test the association between changes in autonomic function parameters and uremic toxins (Table 4). We found a significant negative correlation between changes in the LF/HF ratio and IS (P = 0.036) at 6 months after PD therapy.
Table 4.
Correlations between uremic toxins and cardiovascular autonomic parameters in patients with end-stage renal disease during the study period.
| Δ Indoxyl sulfate |
Δ p-Cresol |
|||
|---|---|---|---|---|
| Pearson correlation | r | P | r | P |
| Δ Indoxyl sulfate | − | − | 0.653 | 0.001 |
| Δ p-Cresol | 0.653 | 0.001 | − | − |
| Δ BRS_seq | 0.357 | 0.175 | −0.340 | 0.198 |
| Δ LF/HF ratio | −0.510 | 0.036* | −0.435 | 0.081 |
| Δ HR_DB | −0.294 | 0.237 | −0.263 | 0.291 |
| Δ VR | −0.021 | 0.965 | 0.078 | 0.867 |
LF, low frequency; HF, high frequency; HR_DB, heart rate response to deep breathing; VR, Valsalva ratio; BRS_seq, sequence of baroreflex sensitivity; Δ, mean change during treatment (6-month follow-up minus baseline data).
Discussion
Our study confirmed the hypothesis that 6 months of PD therapy not only improves sympathetic/parasympathetic activity (LF/HF ratio) imbalance, but also decreases protein-bound uremic toxins (IS). We examined serial changes in biomarkers, including protein-bound uremic toxins (IS and PCS) and cardiovascular autonomic parameters in patients with ESRD before and after PD, and observed five major findings. First, cardiovagal autonomic function (HR_DB, VR, and BRS) were significantly lower in the ESRD and disease groups than in the control group. Second, protein-bound uremic toxins (IS and PCS) were significantly higher in the ESRD group than in the control group. Third, IS levels were significantly decreased after PD compared with before PD, while PCS levels were unchanged. Fourth, there was significant improvement in sympathetic/parasympathetic activity (LF/HF ratio) after PD. The parameters of cardiovagal function, including VR, HR_DB, and BRS were all increased after PD, although this increment did not reach statistical significance. The non-significant statistical results of these cardiovascular functional parameters may be related to the small sample size of the study patients. Additionally, the lack of significance may be due to the severe reduction of parasympathetic activity in the late stage of CAN so that improvement was not obvious after short-term renal replacement therapy. Finally, the change in the protein-bound uremic toxin IS was negatively correlated with a parameter of cardiovascular autonomic function (LF/HF ratio).
Role of cardiac autonomic dysfunction in uremic complications
The clinical features of CAN are variable. CAN can present with decreased parasympathetic activity contributing to sympathetic predominance, and sympathetic hyperactivity plays an important and distinct role in hypertension associated with CKD. As CAN progresses, sympathetic denervation occurs in the late stage of the disease. Impairment of BRS tends to result in sympathetic hyperactivity, which in turn, leads to an increased risk of cardiac arrhythmia, hypertensive crisis, and associated cardiac events. In addition to the imbalance of sympathetic/parasympathetic activity, CAN is also associated with an increased risk of cardiac arrhythmia and sudden cardiac death in patients with CKD. Furthermore, impairment of BRS results in instability of BP, which is likely to have a negative effect on systemic blood perfusion, especially in patients with anemia and impaired renal autoregulation, such as those with uremia.18 These mechanisms may possibly explain the poor prognosis of patients with impaired cardiovascular autonomic function.
Effects of renal replacement therapy on cardiovascular autonomic dysfunction
Cardiovascular morbidity and mortality remain significant problems within the ESRD population, accounting for approximately 50% of all deaths in patients undergoing dialysis and in recipients of renal transplants.19,20 Published studies on the effect of renal replacement therapy on the change of CAN in advanced renal disease are limited.21–23 One retrospective study enrolled 32 patients with chronic uremia who were managed with either HD (16 cases) or PD (16 cases) therapy.20 These 32 patients had CAN and peripheral neuropathy, as assessed using HRV time domain indices and peripheral sensory nerve conduction studies, respectively. This previous study showed the adequacy of HD and continuous ambulatory PD in improving cardiac autonomic nervous function in patients with chronic uremia. Another study compared the effect of an icodextrin-based dialysis solution and a glucose-based dialysis fluid on sympathetic and parasympathetic activity in the heart, as assessed using HRV, in patients with diabetes undergoing PD.21 This previous study showed partial recovery of sympathetic activity in the icodextrin-based dialysis group. The Frequent Hemodialysis Network Daily Trial randomized 245 patients to receive 12 months of either six times per week or three times per week in-center HD.22 In this trial, the HRV values were calculated from 24-hour Holter electrocardiograms at baseline and 12 months in 131 patients, and included LF power (a measure of sympathetic modulation) and HF power (a measure of parasympathetic modulation). This trial showed that the six times per week HD group (daily HD) group had an increased LF component of HRV and reduced left ventricular mass, which indicated that daily HD was associated with increased vagal modulation of heart rate (HF power) and increased HRV.22 Another study investigated 20 patients with ESRD who had undergone either HD (n = 13) or PD (n = 7), and assessed cardiac autonomic function by using HRV parameters (time and frequency domain analysis parameters).23 This previous study showed that 12 months of renal replacement therapy caused considerable improvement of CAN and that the ameliorative effect of continuous ambulatory PD was better than that of HD. In our study, the LF/HF ratio was significantly increased and became similar to that of the control group after adequate PD therapy for 6 months. However, the parameters of cardiovagal autonomic function (HR_DB, VR, and BRS) showed a tendency to increase, but this was not significant. A low LF/HF ratio in CKD patients has been previously reported.24,25 Furthermore, patients with a low LF/HF ratio have a worse prognosis.
The underlying mechanism of sympathetic/parasympathetic imbalance in patients with CKD is not completely known. A previous study showed that uremic toxins act on brain stem neurons in the rostral ventrolateral medulla, which is an important center of autonomic regulation and also involved in the baroreflex pathway.26 Such findings may help in understanding the reduced LF/HF ratio, as well as blunting of BRS in patients with CKD. Our study also showed that IS levels were negatively correlated with sympathetic/parasympathetic balance (LF/HF ratio). This finding indicates that a lower IS toxin level is associated with a higher LF/HF ratio. The change in IS levels was positively correlated with that of BRS, although this did not reach statistical significance (P = 0.175). These results suggest that IS plays a significant role in cardiovascular autonomic dysfunction in patients with ESRD. A high IS level is associated with a prolonged QTc interval,27 and has been suggested as a novel cardiovascular risk factor in CKD.28 Cardiovascular autonomic dysfunction caused by high IS levels may partly explain the underlying associations among a prolonged QTc interval, increased cardiovascular risk, and high IS levels. Various studies have confirmed the toxicity of protein-bound uremic retention solutes and their role in vascular and renal disease progression, as well as in increasing the risk of CVD.29,30 This finding is expected because the underlying autonomic imbalance involves multiple factors, including cardiovascular risk factors.
Correlations of uremic toxins and autonomic function in patients with ESRD
The pathophysiological mechanism of development of CAN could be multifactorial and complicated. In fact, the mechanism involved in autonomic impairment in patients with ESRD is not completely known. IS and PCS are among uremic toxins that are solely derived from colonic bacterial fermentation of protein, which may negatively affect the kidneys.31–33 Circulating IS could be associated with CKD and CVD mortality by increasing oxidative stress and activating inflammatory pathways, resulting in increased expression of intracellular adhesion molecules.34–36 Furthermore, IS and PCS have been considered to be the most likely factors to influence cerebro-renal interaction dysfunction.7 However, the effects and mechanisms of the effects of IS and PCS on uremia-related CAN are still being investigated. Animal and in vitro studies have shown that IS is a vascular toxin and can stimulate proliferation of vascular smooth muscle cells and induce oxidative stress in endothelial cells.37,38 High levels of IS might lead to more severe microvascular complications and affect the severity of CAN.
Study limitations
This study has several limitations. First, the sample size was not large, and we did not exclude patients who had diabetes and did not compare non-diabetic and diabetic groups. We also did not control for medications that can reduce sympathetic or parasympathetic outflow, such as beta-blockers and calcium channel blockers, which can affect HRV. Beta-blockers, which have a direct and prominent effect on autonomic function, were ceased on the day of the study and resumed after the test. Therefore, there is uncertainty in assessing the effects of chronic glycemic impairment in unselected patients with type 2 diabetes. Second, although there was a close relationship between removal of uremic solutes (e.g., IS) and CAN in this prospective observational study, whether the role of the association was causal is unclear. Third, the follow-up period was not long. Therefore, effects of PD on end points were absent in this study. Studies with a large size and longitudinal design are necessary to evaluate the role of uremic toxins on the severity of CAN during clinical follow-up. Finally, there were no clinical manifestations or clinical scores for correlating the findings of cardiovascular autonomic function. Other quantitative autonomic clinical scores (e.g. the composite autonomic symptom scale-31) to assess clinical outcome should be considered for future studies.
Conclusion
Our study suggests that the protein-bound uremic toxin IS may play a role in CAN. Additionally, decreased IS levels after renal replacement therapy can contribute to improvement of sympathetic/parasympathetic activity (LF/HF ratio) imbalance.
Acknowledgements
The authors thank all of the subjects who participated in this study.
Authors’ contributions
BCC participated in the design of the study and drafted the manuscript. YRL and CCH participated in clinical evaluation of patients. CCH performed the statistical analysis. CHL conceived the idea of the study, participated in its design and coordination, and helped draft the manuscript. All authors read and approved the final manuscript.
Availability of data and materials
The data from this study can be acquired from the corresponding author upon reasonable request.
Declaration of conflicting interest
The authors declare that there is no conflict of interest.
Funding
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
ORCID iD
Ben-Chung Cheng https://orcid.org/0000-0001-7967-4937
References
- 1.Robinson TG, Carr SJ. Cardiovascular autonomic dysfunction in uremia. Kidney Int 2002; 62: 1921–1932. [DOI] [PubMed] [Google Scholar]
- 2.Fukuta H, Hayano J, Ishihara S, et al. Prognostic value of heart rate variability in patients with end‐stage renal disease on chronic haemodialysis. Nephrol Dial Transplant 2003; 18: 318–325. [DOI] [PubMed] [Google Scholar]
- 3.Doulgerakis D, Moyssakis I, Kapelios CJ, et al. Cardiac autonomic neuropathy predicts all-cause and cardiovascular mortality in patients with end-stage renal failure: a 5-year prospective study. Kidney Int Rep 2017; 2: 686–694. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Ewing DJ, Martyn CN, Young RJ, et al. The value of cardiovascular autonomic function tests: 10 years experience in diabetes. Diabetes Care 1985; 8: 491–498. [DOI] [PubMed] [Google Scholar]
- 5.Koomans HA, Blankestijn PJ, Joles JA. Sympathetic hyperactivity in chronic renal failure: a wake-up call. J Am Soc Nephrol 2004; 15: 524–537. [DOI] [PubMed] [Google Scholar]
- 6.Rolim LCDSP, Sá JRD, Chacra AR, et al. Diabetic cardiovascular autonomic neuropathy: risk factors, clinical impact and early diagnosis. Arq Bras Cardiol 2008; 90: e24–e32. [DOI] [PubMed] [Google Scholar]
- 7.Watanabe K, Watanabe T, Nakayama M. Cerebro-renal interactions: impact of uremic toxins on cognitive function. Neurotoxicology 2014; 44: 184–193. [DOI] [PubMed] [Google Scholar]
- 8.Yu XZ, Lu S, Gou W, et al. Assessment of the characteristics and quality of life of patients with uremic peripheral neuropathy. Clin Nephrol 2017; 87: 134. [DOI] [PubMed] [Google Scholar]
- 9.Krishnan AV, Lin CSY, Kiernan MC. Activity-dependent excitability changes suggest Na+/K+ pump dysfunction in diabetic neuropathy. Brain 2008; 131: 1209–1216. [DOI] [PubMed] [Google Scholar]
- 10.Barreto FC, Barreto DV, Liabeuf S, et al. Serum indoxyl sulfate is associated with vascular disease and mortality in chronic kidney disease patients. Clin J Am Soc Nephrol 2009; 4: 1551–1558. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Meijers BK, De Loor H, Bammens B, et al. p-Cresyl sulfate and indoxyl sulfate in hemodialysis patients. Clin J Am Soc Nephrol 2009; 4: 1932–1938. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Meijers BK, Claes K, Bammens B, et al. p-Cresol and cardiovascular risk in mild-to-moderate kidney disease. Clin J Am Soc Nephrol 2010; 5: 1182–1189. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Wu IW, Hsu KH, Hsu HJ, et al. Serum free p-cresyl sulfate levels predict cardiovascular and all-cause mortality in elderly hemodialysis patients—a prospective cohort study. Nephrol Dial Transplant 2011; 27: 1169–1175. [DOI] [PubMed] [Google Scholar]
- 14.La Rovere MT, Pinna GD, Raczak G. Baroreflex sensitivity: measurement and clinical implications. Ann Noninvasive Electrocardiol 2008; 13: 191–207. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Low PA. Testing the autonomic nervous system Semin Neurol 2003; 23: 407–422. [DOI] [PubMed] [Google Scholar]
- 16.Malik M, Bigger JT, Camm AJ, et al. Heart rate variability: standards of measurement, physiological interpretation, and clinical use. Eur Heart J 1996; 17: 354–381. [PubMed] [Google Scholar]
- 17.Lin CN, Wu IW, Huang YF, et al. Measuring serum total and free indoxyl sulfate and p-cresyl sulfate in chronic kidney disease using UPLC-MS/MS. J Food Drug Anal 2019; 27: 502–509. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Armando I, Van Anthony MV, Jose PA. Dopamine and renal function and blood pressure regulation. Compr Physiol 2011; 1: 1075. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Neven E, D’Haese PC. Vascular calcification in chronic renal failure: what have we learned from animal studies? Circ Res 2011; 108: 249–264. [DOI] [PubMed] [Google Scholar]
- 20.Laaksonen S, Voipio‐Pulkki LM, Erkinjuntti M, et al. Does dialysis therapy improve autonomic and peripheral nervous system abnormalities in chronic uraemia? J Intern Med 2000; 248: 21–26. [DOI] [PubMed] [Google Scholar]
- 21.Orihuela O, De Jesús Ventura M, Ávila-Díaz M, et al. Effect of icodextrin on heart rate variability in diabetic patients on peritoneal dialysis. Perit Dial Int 2014; 34: 57–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Chan CT, Chertow GM, Daugirdas JT, et al. Effects of daily hemodialysis on heart rate variability: results from the Frequent Hemodialysis Network (FHN) Daily Trial. Nephrol Dial Transplant 2014; 29: 168–178. doi: 10.1093/ndt/gft212 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Dursun B, Demircioglu F, Varan HI, et al. Effects of different dialysis modalities on cardiac autonomic dysfunctions in end‐stage renal disease patients: one year prospective study. Ren Fail 2004; 26: 35–38. [DOI] [PubMed] [Google Scholar]
- 24.Chen SC, Huang JC, Tsai YC, et al. Heart rate variability change before and after hemodialysis is associated with overall and cardiovascular mortality in hemodialysis. Sci Rep 2016; 6: 20597. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Kuo G, Chen SW, Huang JY, et al. Short-term heart rate variability as a predictor of long-term survival in patients with chronic hemodialysis: a prospective cohort study. J Formos Med Assoc 2018; 117: 1058–1064. [DOI] [PubMed] [Google Scholar]
- 26.Oshima N, Onimaru H, Matsubara H, et al. Uric acid, indoxyl sulfate, and methylguanidine activate bulbospinal neurons in the RVLM via their specific transporters and by producing oxidative stress. Neuroscience 2015; 304: 133–145. [DOI] [PubMed] [Google Scholar]
- 27.Tang WH, Wang CP, Chung FM, et al. Uremic retention solute indoxyl sulfate level is associated with prolonged QTc interval in early CKD patients. PLoS One 2015; 10: e0119545. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Hung SC, Kuo KL, Wu CC, et al. Indoxyl sulfate: a novel cardiovascular risk factor in chronic kidney disease. J Am Heart Assoc 2017; 6: e005022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Moradi H, Sica DA, Kalantar-Zadeh K. Cardiovascular burden associated with uremic toxins in patients with chronic kidney disease. Am J Nephrol 2013; 38: 136–148. [DOI] [PubMed] [Google Scholar]
- 30.Fujii H, Goto S, Fukagawa M. Role of uremic toxins for kidney, cardiovascular, and bone dysfunction. Toxins (Basel) 2018; 10: 202. doi: 10.3390/toxins10050202. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Rossi M, Johnson DW, Xu H, et al. Dietary protein-fiber ratio associates with circulating levels of indoxyl sulfate and p-cresyl sulfate in chronic kidney disease patients. Nutr Metab Cardiovasc Dis 2015; 25: 860–865. [DOI] [PubMed] [Google Scholar]
- 32.Nallu A, Sharma S, Ramezani A, et al. Gut microbiome in chronic kidney disease: challenges and opportunities. Transl Res 2017; 179: 24–37. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Sirich TL, Meyer TW, Gondouin B, et al. Protein-bound molecules: a large family with a bad character Semin Nephrol 2014; 34: 106–117. [DOI] [PubMed] [Google Scholar]
- 34.Vanholder R, Schepers E, Pletinck A, et al. The uremic toxicity of indoxyl sulfate and p-cresyl sulfate: a systematic review. J Am Soc Nephrol 2014; 25: 1897–1907. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Niwa T. Indoxyl sulfate is a nephro-vascular toxin. J Ren Nutr 2010; 20: S2–S6. [DOI] [PubMed] [Google Scholar]
- 36.Tumur Z, Shimizu H, Enomoto A, et al. Indoxyl sulfate upregulates expression of ICAM-1 and MCP-1 by oxidative stress-induced NF-ĸB activation. Am J Nephrol 2010; 31: 435–441. [DOI] [PubMed] [Google Scholar]
- 37.Dou L, Jourde‐Chiche N, Faure V, et al. The uremic solute indoxyl sulfate induces oxidative stress in endothelial cells. J Thromb Haemost 2007; 5: 1302–1308. [DOI] [PubMed] [Google Scholar]
- 38.Yamamoto H, Tsuruoka S, Ioka T, et al. Indoxyl sulfate stimulates proliferation of rat vascular smooth muscle cells. Kidney Int 2006; 69: 1780–1785. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data from this study can be acquired from the corresponding author upon reasonable request.
