Fractional Excretion of Urate is Positively Associated with Type 2 Diabetes in HUA Patients: A Cross-Sectional Study

Purpose

People with hyperuricemia (HUA) are often related to metabolic disorders such as diabetes, metabolic syndrome (MetS), and obesity. However, the correlation between excretion of uric acid and these diseases is unclear. Our study aimed to explore the relationship between uric acid excretion and type 2 diabetes (T2D).

Methods

A total of 228 HUA patients from Tianjin Medical University General Hospital from 2022 to 2023 were included in this study. We collected demographic, biochemical, and anthropometric data on each subject. Urine uric acid excretion (UUAE) was calculated enzymatically from a single urine collection that lasted 24 hours. And fractional excretion of uric acid (FEUA) was calculated from serum uric acid and creatinine and uric acid and creatinine. Binary logistic regression modeling assessed the association between uric acid excretion and T2D.

Results

Of the 228 subjects, 13.4% had T2D and 48.7% had obesity. The obesity group had a lower FEUA (p<0.05) and a higher UUAE compared to the control group (p<0.05). And FEUA had a stronger correlation with the risk of T2D (p<0.001). Also, there was a negative association between BMI and FEUA and a positive link between BMI and UUAE in the outpatients.

Conclusion

Increased FEUA levels were significantly associated with T2D in HUA patients. Therefore, routine calculating of FEUA is essential for proper diagnosis and appropriate treatment T2D of in HUA patients.

Could uric acid to high density lipoprotein-cholesterol ratio be considered as a marker of hemodialysis sufficiency?

Aim: Hemodialysis (HD) is one of the most widely utilized renal replacement therapies in individuals with end-stage chronic kidney disease (CKD). The purpose of this study was to compare the Uric acid to HDL cholesterol ratio (UHR) levels of well-treated HD patients to those of those who had inadequate HD therapy. Materials and Methods: Data on HD patients were acquired from patient files and the institution's database. A URR value of more than 70% designated the sufficient HD group, whereas less than 70% defined the insufficient HD group. Furthermore, laboratory data, such as the UHR of the study groups, were compared. Results: The UHRs for adequate and inadequate HD were 0.160±04 and 0.20±0.07, respectively. The UHR of patients with insufficient HD was substantially greater than that of the subjects with sufficient HD (p=0.004). Besides, UHR was substantially and positively connected with urea before HD (r=0.37, p=0.001), urea after HD (r=0.39, p=0.001), serum creatinine before HD (r=0.48, p0.001), serum creatinine after HD (r=0.45, p0.001), and negatively correlated with URR (r=-0.29, p=0.008), according to correlation analyses. In individuals with chronic renal disease, a UHR value higher than 0.16 exhibited 67% sensitivity and 57% specificity in detecting inadequate HD. Conclusion: We propose that UHR, in addition to URR, might be used to determine HS sufficiency in CKD patients undergoing HD therapy.

Effects of sodium-glucose cotransporter 2 inhibitors on serum uric acid in patients with type 2 diabetes mellitus: A systematic review and network meta-analysis

AIMS

The present study aims to determine the effects of sodium-glucose cotransporter 2 (SGLT-2) inhibitors on the serum uric acid (SUA) levels of patients with type 2 diabetes mellitus (T2DM) in Asia.

METHODS

PubMed, CENTRAL, Embase and Cochrane Library databases were searched for randomized controlled trials of SGLT-2 inhibitors in patients with T2DM up to 15 July 2021, without language or date restrictions.

RESULTS

In total, 19 high-quality studies (4218 participants) were included in the present network meta-analysis. All of the included SGLT-2 inhibitors (empagliflozin, dapagliflozin, canagliflozin, ipragliflozin, luseogliflozin and tofogliflozin) significantly decreased SUA levels compared with those of the control [total standard mean difference -0.965, 95% CI (-1.029, -0.901), p = .000, I²  = 98.7%] in patients with T2DM. Subgroup analysis and meta-regression showed that the combined analysis of different inhibitors might lead to heterogeneity of the results. Therefore, among the SGLT-2 inhibitors, the results of the subsequent network meta-analysis revealed that luseogliflozin and dapagliflozin ranked the highest in terms of lowering SUA levels among the SGLT-2 inhibitors. Moreover, the network meta-analysis declared that luseogliflozin (1 and 10 mg) and dapagliflozin (5 mg) led to a superior reduction in SUA in patients with T2DM.

CONCLUSIONS

SGLT-2 inhibitors could significantly reduce SUA levels in patients with T2DM, particularly luseogliflozin (1 and 10 mg) and dapagliflozin (5 mg) possess the best effects. Therefore, SGLT-2 inhibitors look extremely promising as an antidiabetes treatment option in patients with T2DM with high SUA.

Comparative analysis of anthropometric indices with serum uric acid in Iranian healthy population

BACKGROUND

The relationship between elevated serum uric acid (SUA) levels and hypertension, metabolic syndrome and cardiovascular disease has been established. In this study, the relation of SUA levels to anthropometric indices, blood cell count and lipid profile was examined.

METHODS

Anthropometric parameters including body-mass index, waist circumference, waist to height ratio, waist to hip ratio, waist to pelvic ratio, neck circumference (NC), body fat mass (BFM), basal metabolic rate (BMR), visceral fat level (VFL) and percent body fat (PBF), along with complete blood cell count, lipid profile and SUA were obtained from 2921 young and middle-aged Iranian healthy subjects. To assess the normality of data, the Kolmogorov-Smirnov test was used. Mann-Whitney, Kruskal-Wallis, Chi-square and Spearman correlation tests were used for evaluating the association between variables. Simple and multiple regression analyses were also performed.

RESULTS

The results of data analysis showed all studied factors were correlated with SUA level except VFL, BFM, and platelet-to-lymphocyte ratio. The highest correlation was with NC, BMR, hematocrits (HCT) and triglycerides (TG). The backward method revealed that TG, LDL, HDL, neutrophil, lymphocyte, platelet, HCT, BMR and skinfold fat thickness were factors related to SUA.

CONCLUSIONS

According to the finding of this study, SUA level is related to anthropometric indices, lipid profile and neutrophil to lymphocyte ratio in healthy population. SUA measurement might be advisable to identify those at increased risk of health problems whom might benefit from further evaluation.

Relationship of Bone Turnover Markers with Serum Uric Acid-to-Creatinine Ratio in Men and Postmenopausal Women with Type 2 Diabetes

PURPOSE

Accumulating evidence has shown that serum uric acid (UA) is associated with some chronic diseases owing to its antioxidant capacity; however, previous research has discrepant results regarding the relationship between UA and bone health. UA normalized by renal function can reflect endogenous UA levels more precisely than SUA levels. This study assessed the relationship between serum UA-to-creatinine (SUA/Cr) ratio and bone turnover markers (BTMs) in men and postmenopausal women with type 2 diabetes mellitus (T2DM).

PATIENTS AND METHODS

Overall, 1691 patients (1028 males and 663 postmenopausal females) with T2DM admitted to Hebei General Hospital between January and December 2020 were selected and divided into two groups according to their SUA/Cr ratio. One-way analysis of variance was used to compare groups. The relationship between the SUA/Cr ratio and BTMs (including osteocalcin [OC], procollagen I N-terminal peptide [PINP], and β-isomerized type I collagen C-telopeptide breakdown products [β-CTX]) was analyzed using multiple linear regression. Furthermore, subgroup analyses were performed to explore the differences between men and women in the relationship between SUA/Cr and BTMs. Mediation analysis was used to explore whether insulin resistance mediated the association between SUA/Cr and BTMs.

RESULTS

β-CTX and PNIP levels of patients with T2DM in the low SUA/Cr group were significantly higher than those in the high SUA/Cr group, and the difference between the two groups was statistically significant (P < 0.05). Correlation analysis showed that SUA/Cr was negatively correlated with β-CTX and PNIP. After adjusting for confounding factors, multivariate linear regression analysis revealed that the SUA/Cr level was negatively correlated with PINP and β-CTX in male patients and postmenopausal women with T2DM. Stronger correlations were found in patients with 25(OH)D3 < 20ng/mL, course ≥ 5 years, HbA1c > 7%, or BMI < 28 kg/m2.

CONCLUSION

SUA/Cr ratio was an independent influencing factor of BTMs in patients with T2DM.

Perirenal Fat Volume Is Positively Associated With Serum Uric Acid Levels in Chinese Adults

BACKGROUND

Visceral fat has been considered an important risk factor of elevated serum uric acid (SUA). Perirenal fat is a unique visceral fat around the kidneys that has special morphological and physiological features while its relationship with SUA remains incompletely elucidated. This study aimed to assess the association between perirenal fat volume (PrFV) and SUA.

METHODS

A cross-sectional study was conducted in 102 subjects aged ≥ 18 years old recruited from Nanjing,China. The clinical characteristics including age, sex, drinking behavior, history of hypertension, body mass index, waist circumference, total cholesterol, fast plasma glucose, urea, serum creatinine, C-reactive protein, and SUA were recorded. PrFV was measured by ultrasonography. Multivariate linear models and the restricted cubic spline were used to investigate the association between PrFV and SUA.

RESULTS

The median age of this study population was 52.5 (42.0-60.0) years and 56.9% were female. The median value of SUA was 5.73 mg/dL (4.58-6.80 mg/dL). The subjects were divided by PrFV tertiles and we found that the subjects in the highest PrFV tertile had a higher level of SUA compared to those in the lowest tertile (β=1.86, 95%CI 1.23-2.48, P for trend <0.001).The positive association also remained after adjustment for potential covariates (tertile3 versus tertile1: β=0.99, 95%CI 0.35-1.63, P for trend =0.005). There was an increase of approximately 0.53 mg/dL in SUA per 1-fold increase in PrFV (β=0.53, 95%CI 0.02-1.04, P for nonlinearity = 0.637).

CONCLUSION

Our results confirmed a positive independent relationship between PrFV and SUA in Chinese adults. This study suggested that perirenal fat might constitute a potential risk factor for elevated serum uric acid levels.

Investigating the relationship between serum uric acid to high-density lipoprotein ratio and metabolic syndrome

Aims

This study aimed to determine a parameter to more easily diagnose metabolic syndrome and predict its probability of occurrence in high‐risk individuals.

Methods

In this cross‐sectional study, data related to the study population in the Kerman Coronary Artery Disease Risk Factor Study (KERCADRS) were examined. Subjects were divided into two groups with and without metabolic syndrome, and the relevant factors such as the ratios of uric acid to high‐density lipoprotein (HDL) (UHR) in these two groups were compared, and the best cut‐off point was determined.

Results

Data related to 817 people including 96 people with metabolic syndrome and 721 people without metabolic syndrome were analysed. The mean UHR was significantly higher in patients with metabolic syndrome (14.76 ± 6.33%) compared with those without metabolic syndrome (10.0 ± 3.10%) (p < .001). People with high UHR are 2.9 times more at risk of metabolic syndrome and the best cut‐off point was 9.50% with 86% sensitivity and 55% specificity.

Conclusions

According to our study, UHR is also helpful in diagnosing metabolic syndrome and can also be used to screen people at risk for metabolic syndrome.

The association between serum uric acid to high density lipoprotein-cholesterol ratio and non-alcoholic fatty liver disease: the abund study

OBJECTIVE

Non-alcoholic fatty liver disease, which is characterized by lipid being deposited into hepatocytes, affects nearly one in three adults globally. Inflammatory markers were suggested to be related with hepatic steatosis. Uric acid to HDL cholesterol ratio is proposed as a novel inflammatory and metabolic marker. We aimed to compare Uric acid to HDL cholesterol ratio levels of patients with Non-alcoholic fatty liver disease to those of healthy controls and find out potential correlations between Uric acid to HDL cholesterol ratio and other inflammatory and metabolic markers of Non-alcoholic fatty liver disease.

METHODS

Patients with a diagnosis of Non-alcoholic fatty liver disease who were on clinical follow-up in our institution were enrolled in the study as the Non-alcoholic fatty liver disease group, while healthy volunteers were enrolled as the control group. The Uric acid to HDL cholesterol ratio of the groups was compared and potential correlations were studied between Uric acid to HDL cholesterol ratio and fasting blood glucose, transaminases, serum lipids (triglyceride, LDL-cholesterol), weight, and body mass index.

RESULTS

The Uric acid to HDL cholesterol ratio of the Non-alcoholic fatty liver disease (13±5%) group was significantly higher compared to the Uric acid to HDL cholesterol ratio of the control (10±4%) group (p<0.001). Uric acid to HDL cholesterol ratio was significantly and positively correlated with fasting blood glucose, transaminases, triglyceride, body weight, waist circumference, hip circumference, and body mass index. A ROC analysis revealed that a Uric acid to HDL cholesterol ratio level greater than 9.6% has 73% sensitivity and 51% specificity in determining Non-alcoholic fatty liver disease.

CONCLUSION

Due to the inexpensive and easy-to-assess nature of Uric acid to HDL cholesterol ratio, we suggest that elevated Uric acid to HDL cholesterol ratio levels be considered a useful tool in diagnosing hepatic steatosis.

Serum uric acid to HDL-cholesterol ratio is a strong predictor of metabolic syndrome in type 2 diabetes mellitus

OBJECTIVE

Metabolic syndrome (MS) is a clinical entity that associated with increased risk of type 2 Diabetes Mellitus (DM) and cardiovascular diseases. Serum uric acid levels are correlated MS criteria. We hypothesized whether a uric acid to HDL-cholesterol ratio (UHR) could predict diabetic regulation and presence of MS in type 2 diabetic subjects.

METHODS

Admissions of the subjects with type 2 DM to outpatient clinics of our institution were retrospectively analyzed. Study population grouped into well-controlled and poorly controlled diabetics according to the HbA1c level (cut off 7%) and further grouped into type 2 DM with and without MS according to the presence of MS. UHR of study groups compared.

RESULTS

A hundred diabetic subjects enrolled. Mean UHR was significantly lower in well-controlled diabetics (9.7 ± 3.7%) compared to poorly controlled subjects (14 ± 5.4%) (p<0.001). Median UHR of diabetics with MS (13 (6-29) %) was greater than that of the diabetics without MS (9 (3-16) %) (p<0.001). UHR greater than 11% has 77% sensitivity and 60% specifity in predicting worse diabetic control (AUC: 0.752, p<0.001) and a UHR greater than 10.6% has 83% sensitivity and 71% specifity in predicting MS (AUC: 0.839, p<0.001). Sensitivity and specifity of UHR in predicting MS were better than most of the sensitivities and specifities of the five criteria of MS.

CONCLUSION

We suggest utilization of UHR in diagnosis of MS as a novel criteria. Nevertheless, prospective studies with larger population may make a better scientific evidence in that issue.