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Serum Uric Acid and HRV in Prediabetes and Diabetes
*Corresponding author: Nitin Ashok John, Department of Physiology, All India Institute of Medical Sciences, Hyderabad, Telangana, India. drnitinjohn@yahoo.co.in
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Received: ,
Accepted: ,
How to cite this article: John NA, Dadi H, Sarkar A, Varatharajan S. Serum Uric Acid and HRV in Prediabetes and Diabetes. Indian J Cardiovasc Dis Women. doi: 10.25259/IJCDW_107_2024
Abstract
Objectives:
Heart rate variability (HRV) tends to decrease in people with type 2 diabetes, but exactly why this happens is not yet fully understood. The aim of the study was to study the correlation of serum uric acid (SUA) with heart rate variability (HRV) in prediabetic individuals and patients with diabetes mellitus and also among male and females in the respective groups.
Materials and Methods:
In this study, we included a total of 56 participants, which comprised 28 individuals diagnosed with diabetes mellitus and 28 who were prediabetic. We conducted the HRV analysis using Power Lab from AD Instruments based in Australia. To determine the P-values, we employed a Student t-test. We also examined the correlations between SUA levels and HRV among the prediabetic group and diabetes mellitus patients, as well as between male and female subjects within these groups, using Pearson’s correlation.
Results:
The autonomic functions are deranged both in patients with diabetes and prediabetic group but the reduction in HRV is more pronounced in patients with diabetes. Males have more reduced HRV as compared to females in both the groups. The comparative analysis among the prediabetic males and females revealed that the total frequency was decreased in both the groups and moderate autonomic dysfunction was observed. The low frequency/high frequency ratio in pre-diabetic individuals was lower in males than females; though reduced in both the group, signifying symatho vagal imbalance in both males and females.
Conclusion:
There is a positive link between HRV and SUA levels in patients with diabetes. Prediabetic individuals having normal uric acid levels also exhibit a reduction in HRV. Earlier identification of cardiac autonomic dysfunction on HRV in pre-diabetic individuals and patients with diabetes mellitus will help prevent further cardiovascular complications.
Keywords
Diabetes
Heart rate variability
Prediabetes
Serum uric acid
Total frequency
ABSTRACT IMAGE

INTRODUCTION
There is some really intriguing research out there looking into how hyperuricemia connects with various health issues such as hypertension, heart failure, and other cardiovascular diseases. What’s surprising, though, is that not many studies have delved into its link with diabetes mellitus. Uric acid is the end result of purine metabolism and plays a key role in this whole picture. When hyperuricemia occurs, uric acid can seep into cells and act as both an oxidant and a standalone risk factor for developing type 2 diabetes mellitus (T2DM). This situation creates oxidative stress, which in turn reduces nitric oxide levels, making it harder for tissues to take up insulin and potentially lowering insulin sensitivity.[1] On top of that, uric acid can trigger the Renin–Angiotensin–Aldosterone System, kicking off a series of harmful changes that lead to vascular dysfunction and inflammation, ultimately resulting in cardiovascular and kidney complications. Moreover,[2-4] decreased heart rate variability (HRV) is a sign of cardiac autonomic dysfunction (CAD) and is also seen in individuals with type 2 diabetes, although more research is needed in this area.[5-7] The relationship between uric acid levels and HRV has not been thoroughly investigated in people with pre-diabetes or diabetes. Benichou et al., noted that T2DM is linked to a general decline in HRV among patients. This altered sympathetic and parasympathetic activity is thought to stem from the negative effects of disrupted glucose metabolism, which can lead to cardiac autonomic neuropathy.[2] Coopmans et al.,[3] found that both prediabetes and type 2 diabetes are linked to a decrease in HRV. Their study shows that people who have prediabetes might already be experiencing issues with their heart’s automatic functions. In addition, a review by Xiong et al.,[6] confirmed a positive relationship between uric acid levels and diabetes mellitus.[3] Van Der Schaft et al.,[7] suggested that there is a connection between hyperuricemia and the onset of prediabetes and type 2 diabetes.[4] We were inspired to dive into the connection between serum uric acid (SUA) levels and HRV in individuals with prediabetes and diabetes mellitus, especially given the limited research in Southern India. Understanding the balance between sympathetic and vagal activity, along with changes in SUA levels, could be key in spotting early signs of CAD in diabetes patients, particularly those who are prediabetic. This motivated us to measure SUA levels and HRV in both men and women within these two groups. We also wanted to explore how SUA relates to HRV across both genders in our study.
MATERIALS AND METHODS
The study took place in the Department of Physiology and kicked off after receiving the green light from both the Institutional Ethics Committee and the Institutional Research Committee. We included a total of fifty-six participants, made up of 28 individuals diagnosed with diabetes mellitus and 28 prediabetic individuals, all randomly selected from the diabetic clinic in the Department of Medicine. Each participant provided written consent before joining the study. The HRV analysis was conducted in the Department of Physiology. According to the World Health Organization criteria, all prediabetic individuals in our study had HbA1c levels ranging from 5.7% to 6.4%, while those with diabetes had HbA1c levels of 6.5% or higher. We chose to focus on HbA1c levels instead of plasma glucose levels because they are a more reliable indicator of hyperglycemia. All diabetes patients included in our study received treatment with allopathic medications. Subjects who were on diuretics, lipid-lowering agents, hyper- or hypouricemic agents, antihypertensives, or those with any clinical suspicion of malignancy, acute infectious diseases, acute inflammatory diseases, or renal issues were excluded. In addition, any prediabetic subjects with hyperuricemia were also excluded, ensuring that only those with normal uric acid levels were included for a proper correlation analysis. SUA levels were tested using an auto-analyzer with Vitros uric acid reagent in the Biochemistry laboratory. Normal SUA values were defined as 2.5–7.0 mg/dL for males and 1.5–6.0 mg/dL for females, with levels above 7.0 mg/dL in males and 6.0 mg/dL in females classified as hyperuricemia.[5] The HRV analysis was performed using PowerLab AD Instruments from Australia.
Procedure protocol for recording observation
All the participants in the study made their way to the autonomic laboratory of the department. Before heading into the laboratory, the group members were given some time to relax in the observation room. Once they were settled, we recorded their HRV.[6] The subjects were comfortably seated on an examination couch, ensuring they were relaxed. We carefully placed the leads and electrodes on their chests to capture the HRV data. The recording lasted for 5 min, during which we analyzed the variations in heart rate using frequency domain analysis. For this, we utilized the SA-3000P software, which helped us measure and interpret the physiological signals according to the guidelines set by the European Society of Cardiology on behalf of the North American Society of Pacing and Electrophysiology in 1996. The HRV analysis focused on cardiac autonomic modulation, with frequency domain assessments capturing high frequency ([HF]: 0.15–0.40 Hz), low frequency ([LF]: 0.04-0.15 Hz), and very LF (VLF) components. We reported these spectral components in milliseconds. The spectral analysis was conducted using the Fast Fourier Transform algorithm. While interpreting our results, we considered the changes in the LF/HF ratio (with a normal reference value of 0.5–1.5) and total power (TP), which has a normal reference value of 3466 ± 1018. It is important to note that the LF band reflects the modulation of vagal and sympathetic tone through baroreflex activity, while HF power indicates vagal modulation of heart rate. The LF/HF ratio gives insight into the balance between sympathetic and vagal activity. TP represents the combined energy in the VLF, LF, and HF bands during short-term recordings. The absolute power of the VLF band ranges from 0.0033 to 0.04 Hz.
RESULTS
Statistical analysis
The statistical analysis was conducted using the Windows Statistical Package for the Social Sciences program (version 8.0 or 10.0; Chicago, IL, USA). All statistical results were presented as means ± standard error at a 95% confidence interval (CI). We used the Student t-test to determine P-values. The correlations between SUA[1] concentration and HRV[2,6] were examined in both the pre-diabetes group and diabetes mellitus patients, as well as among male and female subjects within these groups, using Pearson’s correlation.
DISCUSSION
This study reinforces the well-established observation that SUA levels tend to be higher in patients with diabetes mellitus, which is consistent with findings from previous epidemiological and clinical research. Our results show that both HbA1c and SUA levels were notably higher in the diabetes group compared to the prediabetes group [Figures 1a and 1b], aligning with the diagnostic criteria and our understanding of the mechanisms behind diabetes. Interestingly, SUA levels were normal in individuals with prediabetes, hinting at a potential early metabolic imbalance that could precede hyperuricemia and diabetes [Figures 2a and 2b, 3a and 3b]. We also observed a consistent decline in HRV components, such as TP, HF, and LF, in both the diabetic and prediabetic groups, with a more pronounced drop in those with diabetes. This finding is in line with other studies that suggest CAD may be an early complication of diabetes [Figures 4a and 4b, 5a and 5b, 6a and 6b]. The increased LF/HF ratio in the prediabetes group points to a sympathetic-vagal imbalance even before the condition progresses to full-blown diabetes, supporting Coopmans et al.[3] findings that prediabetes is linked to lower HRV and early signs of autonomic dysregulation. Tables 1 and 2 indicated values based on diabetes and prediabetes groups.

- Correlation between uric acid and HRV in patients of diabetes. (TF: Total frequency, LF: Low frequency, HF: High frequency, HRV: Heart rate variability)

- Correlation between uric acid and HRV in female diabetic patient. (TF: Total frequency, LF: Low frequency, HF: High frequency, HRV: Heart rate variability)

- Correlation between uric acid and HRV in male diabetic patient. (TF: Total frequency, LF: Low frequency, HF: High frequency, HRV: Heart rate variability)

- Correlation between uric acid and HRV prediabetic individuals. (TF: Total frequency, LF: Low frequency, HF: High frequency, HRV: Heart rate variability)

- Correlation between uric acid and HRV prediabetic female individuals. (TF: Total frequency, LF: Low frequency, HF: High frequency, HRV: Heart rate variability)

- Correlation between uric acid and HRV prediabetic male individuals. (TF: Total frequency, LF: Low frequency, HF: High frequency, HRV: Heart rate variability)
| Parameter (unit of measurement) | Prediabetese group (Mean±SD) (n=28) |
Diabetes group (Mean±SD) (n=28) |
T-value | P-value |
|---|---|---|---|---|
| HbA1C (mg/dl) | 6.03±0.17 | 9.86±1.75 | 11.5266 | <0.0001* |
| Uric acid (mg/dl) | 5.61±1.73 | 9.48±2.83 | 6.1739 | <0.0001* |
| HRV (TF) in ms2 | 812.5±871.3 | 484.74±485.79 | 1.7388 | 0.0878 |
| HRV (VLF) ms2 | 311.7±288.2 | 278.12±307.16 | 0.4219 | 0.6748 |
| HRV (LF) ms2 | 198.1±314.9 | 97.77±76.97 | 1.6377 | 0.1073 |
| HRV (HF) ms2 | 222.04±422.02 | 104.43±135.61 | 1.4040 | 0.1661 |
| LF/HF | 1.84±1.73 | 1.49±0.88 | 0.9542 | 0.3442 |
P < 0.0001 is highly significant and P < 0/05 is significant.
| Parameter (unit of measurement) | Diabetes group Male (n=14) (Mean±SD) |
Diabetes group Female (n=14) (Mean±SD) |
T-value | P-value |
|---|---|---|---|---|
| HbA1C (mg/dl) | 9.35±1.42 | 10.36±1.94 | 1.5719 | 0.1281 |
| Uric acid (mg/dl) | 9.75±2.42 | 9.21±3.27 | 0.6236 | 0.6236 |
| HRV (TF) in ms2 | 428.49±281.02 | 540.98±635.9 | 0.6061 | 0.5497 |
| HRV (VLF) ms2 | 244.82±244.2 | 311.42±365.96 | 0.5647 | 0.5771 |
| HRV (LF) ms2 | 91.34±43.14 | 104.2±101.76 | 0.4353 | 0.6669 |
| HRV (HF) ms2 | 86.37±56.82 | 122.5±185.11 | 0.6982 | 0.4913 |
| LF/HF | 1.4±0.85 | 1.58±0.94 | 0.5314 | 0.5996 |
We also observed sex-based differences in autonomic function, with males showing a more severe reduction in HRV compared to females. This aligns with research suggesting that gender can influence autonomic tone, possibly due to the protective effects of estrogen on the cardiovascular system. The higher LF/HF ratio in females indicates sympathetic dominance, likely influenced by hormonal factors, as noted in previous studies. Table 3 indicated values based on diabetes and prediabetes groups
| Parameter (unit of measurement) | Prediabetese group Male (n=16) (Mean±SD) |
Prediabetese group Female (n=12) (Mean±SD) |
T-value | P-value |
|---|---|---|---|---|
| HbA1C (mg/dl) | 6.0±0.1 | 5.9±0.1 | 2.6186 | 0.0145* |
| Uric acid (mg/dl) | 5.68±2.20 | 5.51±0.73 | 0.2563 | 0.7998 |
| HRV (TF) in ms2 | 790.8±837.8 | 841.4±913.3 | 0.1547 | 0.8783 |
| HRV (VLF) ms2 | 316.8±299.9 | 305.01±271.6 | 0.1063 | 0.9162 |
| HRV (LF) ms2 | 223.2±374.6 | 164.6±205.6 | 0.4881 | 0.6296 |
| HRV (HF) ms2 | 188.9±274.5 | 266.2±558.2 | 0.4835 | 0.6328 |
| LF/HF | 1.56±1.20 | 2.21±2.19 | 1.1163 | 0.2745 |
P < 0/05 is significant
Hyperuricemia, or high levels of uric acid in the blood, triggers oxidative stress through the production of reactive oxygen species (ROS). This process can lead to issues like endothelial dysfunction and inflammation in the blood vessels, as thoroughly discussed by Coopmans et al.[3] and Xiong et al.[6] The oxidative environment created here messes with how insulin is secreted and how sensitive our bodies are to it. Matsuoka et al.[8] pointed out that ROS, which depend on glycation, can actually suppress the expression of insulin genes, while Li et al.[9] found that increased activity of xanthine oxidase can kickstart diabetes. These factors play a role in the complex relationship between high SUA levels and poor glucose metabolism, suggesting that hyperuricemia is both a result of and a contributor to metabolic issues.[10]
Our results align with the findings of Bombelli et al.,[11] who noted that hyperuricemia stands out as an independent risk factor for impaired fasting glucose and metabolic syndrome – both of which can lead to diabetes. In addition, uric acid’s activation of the renin-angiotensin-aldosterone system might worsen problems in the blood vessels and kidneys, increasing cardiovascular risks, as shown in other studies.[12]
In our research, we found a connection between a higher LF/HF ratio and elevated HbA1c levels, which echoes previous studies, particularly by Benichou et al.[2] They pointed out that reduced HRV[13-15] can indicate cardiac autonomic neuropathy, which correlates with glycemic control. The drop in VLF power we observed fits with the work of Usui and Nishida,[14] who linked VLF to slower recovery after stress, hinting at a reduced ability of the autonomic system to adapt in diabetes.
The relationship between HRV[2,4] and SUA is quite intriguing, especially when we look at how the LF/HF ratio correlates positively with SUA in men. This suggests that uric acid might play a significant role in disrupting the balance of our autonomic nervous system and contributing to sympatho-vagal dysfunction in diabetes. These findings echo the research by Shen et al.[15] who highlighted SUA’s link to insulin resistance and autonomic issues, even among those who are not diabetic or are in the prediabetic stage. In addition, pointed out SUA’s connection to islet beta-cell dysfunction, reinforcing the relationship between high uric acid levels and problems with glucose regulation.
The increase in sympathetic activity, indicated by the rising LF/HF ratio alongside SUA levels, could lead to enhanced lipolysis and higher free fatty acid concentrations. This, in turn, may reduce insulin sensitivity and adversely impact heart function and HRV, which is a key aspect of metabolic syndrome.[13] This chain of events offers a solid explanation for the early signs of autonomic dysfunction that we often see in prediabetes and diabetes, highlighting the need to keep an eye on both SUA and HRV in these groups.[14,15]
It is also important to consider the differences between sexes, as men showed a more significant drop in HRV. This could be linked to differences in how oxidative stress is managed, hormonal influences, and overall cardiovascular risk. While the small sample size here makes it hard to draw firm conclusions, it certainly points to a vital area for future research that should involve larger studies focused on gender differences.
Our study really highlights the importance of catching cardiac autonomic neuropathy early in people with prediabetes and diabetes. We are using HRV[2,4] along with SUA as a possible predictive marker. By addressing high uric acid levels and autonomic imbalance early on, we could potentially protect cardiovascular health and enhance metabolic outcomes. What makes this study stand out is how it sheds light on the relationship between SUA, HRV, and gender differences within an Indian population.
This group is seeing a rise in diabetes cases, yet there is not much data on autonomic dysfunction and the role of uric acid. To really confirm our findings and develop personalized prevention strategies, we need more extensive, long-term studies that combine molecular and clinical markers.
CONCLUSION
This study reveals a clear link between serum uric acid levels and lower heart rate variability in people with diabetes mellitus. Interestingly, even those in the prediabetic stage showed early signs of cardiac autonomic dysfunction, despite having normal uric acid levels. These results emphasize the need to assess both serum uric acid and heart rate variability as potential early indicators of autonomic issues in prediabetes and diabetes. This highlights the importance of early detection and intervention to help lower the risk of future cardiovascular problems.
Acknowledgment
The authors sincerely thank Dr. Madhuri Taranikanti, Additional Professor, Department of Physiology, AIIMS Bibinagar, for her expert guidance in study conceptualization and methodological inputs. Special thanks to Dr. Anish Singhal, Associate Professor, Department of Physiology, AIIMS Bibinagar, for his support in standardizing autonomic testing procedures and assisting with data acquisition and interpretation.
Ethical approval:
The research/study was approved by the Institutional Review Board at All India Institute of Medical Sciences, Bibinagar, number 440, dated May 30, 2024.
Declaration of patient consent:
The authors certify that they have obtained all appropriate patient consent forms. In the form, the patients have given their consent for their images and other clinical information to be reported in the journal. The patients understand that their names and initials will not be published and due efforts will be made to conceal their identity, but anonymity cannot be guaranteed.
Conflicts of interest:
There are no conflicts of interest.
Use of artificial intelligence (AI)-assisted technology for manuscript preparation:
The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.
Financial support and sponsorship: This study was supported by the PSS – Prajwalika Scholarship Scheme, Women in Cardio-Respiratory Sciences (WINCARS) 2024, New Delhi.
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