Hyperuricemia and Impaired Renal Function: A Prospective Cohort Study

Elevated Serum SERPINE2 Levels are Linked to Impaired Renal Function in Patients with Type 2 Diabetes Mellitus

INTRODUCTION

Diabetic nephropathy (DN) is the primary complication associated with diabetes mellitus and is increasingly acknowledged as the leading cause of end-stage renal disease worldwide, placing a significant economic burden on society. This study determined how blood serpin peptidase inhibitor clade E member 2 (SERPINE2) levels affect DN in individuals with type 2 diabetes mellitus (T2DM).

METHODS

We recruited 292 individuals diagnosed with T2DM and 120 healthy controls for this study. We employed comprehensive and systematic data collection methodologies to gather relevant biomarkers and information on biochemical parameters. We measured serum levels of neutrophil gelatinase-associated lipocalin (NGAL), kidney injury molecule 1 (KIM-1), transforming growth factor-β1 (TGFβ1), connective tissue growth factor (CTGF), and SERPINE2 by the enzyme-linked immunosorbent assay in control subjects and patients with T2DM. We calculated generalized odds ratios (OR) to estimate the risk of developing DN.

RESULTS

Patients with diabetes had significantly higher levels of SERPINE2 (285.64 ± 56.58 pg/mL) than healthy controls (184.84 ± 23.54 pg/mL). Additionally, the multivariate logistic regression analysis indicated that patients with diabetes with DN possessed higher levels of serum SERPINE2 (OR 1.033, 95% confidence interval [CI] 1.013-1.053; P = 0.001), along with an increased body mass index (BMI), duration of diabetes, serum creatinine (Scr), NGAL, KIM-1, TGFβ1, and CTGF. Receiver operating characteristic (ROC) curve analysis indicated that patients with T2DM and serum SERPINE2 levels exceeding 278.94 pg/mL had a significantly higher risk of developing DN.

CONCLUSION

The results showed that patients with diabetes with DN have higher levels of serum SERPINE2. A more extensive population-based prospective study is needed to validate our findings.

Correlation between macular sensitivity and kidney function in patients with diabetes

PurposeThe aim of this study is to investigate the correlation between kidney function in patients with diabetes and macular sensitivity at central 10° using microperimetry.MethodsA cross-sectional study was carried out on 30 diabetic patients (58 eyes). A full-threshold microperimetry of the central 10° of retina (the macula) was performed on all subjects, consisting of 37 measurement points, using a 4-2 representation strategy. Macular sensitivity was expressed as the average threshold value in decibels for the entire field tested. The correlation between macular sensitivity and GFR, as well as microalbuminuria, blood glucose and HbA1c, was calculated using Pearson correlation rank.ResultsA significant positive correlation was observed between GFR and macular sensitivity among both male and female study subjects. For male participants, the correlation was measured to r([16]) = [.615], p = [<.007] and r([15]) = [.844], p = [<.001] for the left and right eyes, respectively. As for female participants, the correlation was r ([9]) = [.903], p = [<.001] and r([10]) = [.941], p = [<.001] for the left and right eyes, respectively. The correlation between macular sensitivity and the following variables was statistically insignificant: microalbuminuria, blood glucose, and HbA1c.ConclusionDespite intact visual acuity measured on standard ophthalmic examination, patients with impaired kidney function had decreased macular sensitivity. This emphasizes the importance of microperimetry in preventative care and detection of early signs of diabetic retinopathy. Furthermore, we should consider the use of microperimetry as an auxiliary tool for monitoring kidney function in diabetics.

Machine learning-based prediction models for renal impairment in Chinese adults with hyperuricaemia: risk factor analysis

In hyperuricaemic populations, multiple factors may contribute to impaired renal function. This study aimed to establish a machine learning-based model to identify characteristic factors related to renal impairment in hyperuricaemic patients, determine dose‒response relationships, and facilitate early intervention strategies. Data were collected through the big data platform of Nanjing Hospital of Traditional Chinese Medicine, encompassing 2,705 patients with hyperuricaemia (1,577 with renal impairment, 828 without) from June 2019 to June 2022. After multiple imputations for missing values, the dataset was randomly split into training (70%) and validation (30%) sets. We employed three machine learning algorithms for feature selection: random forest (with 100 decision trees and an OOB error rate of 23.34%), LASSO regression (optimal lambda of -3.58), and XGBoost (learning rate of 0.3, maximum tree depth of 1, and 50 rounds of boosting). The intersection of features identified by these algorithms through Venn diagram analysis yielded four key predictors. A logistic regression model was subsequently constructed and evaluated for discrimination (AUC), calibration (Brier score), and clinical utility (DCA). Restricted cubic spline (RCS) curves were utilized to analyse the dose‒response relationships. The model, which incorporates age, cystatin C (Cys-C), uric acid (UA), and sex, demonstrated robust performance, with an AUC of 0.818 [95% CI (0.796-0.817)] in the training set and an AUC of 0.82 [95% CI (0.787-0.853)] in the validation set. Calibration tests yielded Brier scores of 0.160 and 0.158, respectively. Clinical decision curves revealed optimal prediction probability intervals of 6-99.02% and 7-93.14%. In the hyperuricaemic population, each 0.5 mg/L increase in Cys-C, 10-year increase in age, and 100 µmol/L increase in UA corresponded to increased risks of 13%, 81%, and 73%, respectively. RCS analysis revealed nonlinear relationships for Age and Cys-C and a linear relationship for UA, with sex-specific distribution patterns. The machine learning-based model incorporating these four indicators demonstrated excellent predictive performance for renal impairment in hyperuricaemic patients. These findings suggest that monitoring Cys-C and UA levels while considering age and sex differences is crucial for risk assessment and prevention strategies.

The Association of Persistent Hyperuricemia With Liver Function and the Management of Uric Acid Levels: Insights From a Three-Year Prospective Cohort Study

OBJECTIVE

The association of long-term hyperuricemia with liver function remains less well understood. This prospective cohort study aimed to investigate the relationship between hyperuricemia and liver function as well as other metabolic and cardiovascular parameters.

METHODS

We enrolled 375 participants with hyperuricemia and 599 normouricemic controls. Participants were followed up for 3 years, and data on liver indicators, including alanine aminotransferase (ALT), aspartate aminotransferase (AST), and liver ultrasonography were collected. Additionally, we assessed other parameters, such as renal function, lipid profile, blood pressure, fasting blood-glucose (FBG), and body mass index (BMI).

RESULTS

The highest prevalence of hyperuricemia was observed in the 20-29 age groups for the participants. Among the comorbidities of patients with hyperuricemia, the proportion of dyslipidemia is the highest (58.13%), followed by fatty liver (50.13%) and liver function impairment (33.07%). During the three-year follow-up period, compared to the baseline, patients with persistent hyperuricemia showed significant increases in BMI, triglycerides, total cholesterol, AST, and ALT levels (p < 0.05). Meanwhile, patients with improved hyperuricemia for 2 years exhibited significant decreases in FBG, total cholesterol, serum creatinine (p < 0.05), along with a significant increase in eGFR (p < 0.05). Correlation analysis revealed that levels of uric acid were positively correlated with ALT, FBG, and triglycerides in persistent hyperuricemia (p < 0.05).

CONCLUSION

Hyperuricemia shows a notable trend of younger age onset. Persistent hyperuricemia, correlated with elevated ALT levels, indicates an increasing risk of liver damage that should be concerned about. Effective management of hyperuricemia could improve metabolic disorders and renal dysfunction.

Serum uric acid is associated with chronic kidney disease in elderly Chinese patients with diabetes

BACKGROUND

The relationship between hyperuricemia and chronic kidney disease (CKD) has been investigated extensively. However, studies on elderly individuals are still limited. Moreover, there is no consensus on whether hyperuricemia or elevated serum uric acid (SUA) within the normal range is correlated with the new onset of CKD and whether there are differences between males and females.

METHODS

We included 39039 elderly diabetic patients without CKD at baseline from a community-based cohort in Wuhan, China. The outcome event was the new onset of CKD (defined as an estimated glomerular filtration rate < 60 mL/min/1.73 m2). Multivariate Cox models were used to assess the adjusted hazard ratio (HR).

RESULTS

During the 2-year follow-up period, 3162 (8.10%) patients with diabetes developed new-onset CKD. The optimal cutoff value of SUA for incident CKD was 347.4 μmol/L. The adjusted HRs of hyperuricemia for new-onset CKD were 1.925 (1.724-2.150) and 1.676 (1.520-1.848) for males and females, respectively. The risk of developing CKD increased across the Q4 group up to 2.242 times for their counterparts in the lowest SUA quartile, independent of age, sex, diabetes duration, obesity, hypertension, systolic blood pressure, diastolic blood pressure, smoking, drinking, dyslipidemia, triglyceride, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and fasting plasma glucose.

CONCLUSIONS

Hyperuricemia is an independent predictor of incident CKD. Elevated SUA was linearly correlated with CKD in elderly patients with diabetes, showing a relatively higher intensity among males compared with that among females. The optimal cutoff value of SUA for the risk of new-onset CKD in elderly patients with diabetes was 347.4 μmol/L.

Serum uric acid levels in kidney transplant recipients: A cause for concern? A review of recent literature

The impact of elevated serum uric acid levels i.e., hyperuricemia, on native and transplant chronic kidney disease progression has been debated. This literature review presents an analysis of multiple studies exploring the relationship between serum uric acid levels and kidney transplant outcomes. The review includes a summary of the pathophysiology of hyperuricemia and gout, a review of urate-lowering therapies, and an appraisal of multiple studies examining the association or lack thereof between serum uric acid level and kidney transplant outcomes. Based on these studies, elevated serum uric acid levels may contribute to CKD progression in kidney transplant recipients. In this review, we also summarize current literature to highlight risk factors associated with hyperuricemia as well as the need for further investigation to monitor and manage hyperuricemia in kidney transplant recipients.

Association between urinary phthalate metabolites and hyperuricemia in US adults

Phthalate metabolites have been detected from urine in most of the US population and have become a public health problem. However, the association between phthalate metabolites and hyperuricemia has been scarcely studied so far. We aimed to evaluate if phthalate metabolites were associated with hyperuricemia in US adults. A total of 8816 participants of the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018 were included in our study. We used multivariable logistic regression models and restricted cubic spline (RCS) models to explore the association between urinary phthalate metabolites and hyperuricemia. Then, stratified analyses were conducted by sex and age. The prevalence of hyperuricemia in the study sample was 20.35%. Compared to the lowest quantile, the odds ratios (ORs) and 95% confidence intervals (CIs) for hyperuricemia were all statistically significant in following phthalate metabolites: 1.34 (1.13-1.58) for the second quartile in Mono-isobutyl phthalate (MiBP), 1.21 (1.01-1.46) for the highest quartile in Mono-(carboxyoctyl) phthalate (MCOP), 0.66 (0.56-0.76) for the second quartile in Mono-(2-ethyl)-hexyl phthalate (MEHP), 1.22 (1.05-1.43) for quartile 2 in Benzyl butyl phthalate (ΣBBP), and 1.43 (1.22-1.66) for the third quartile in high molecular-weight phthalate (ΣHigh MWP), respectively. Our results indicate that several urinary phthalate metabolites are positively associated with the odds of hyperuricemia.

Prevalence and Predictors of Renal Disease in a National Representative Sample of the Romanian Adult Population: Data from the SEPHAR IV Survey

Background: The prevalence of chronic kidney disease (CKD) correlates with the prevalence of hypertension (HT). We studied the prevalence and predictors of CKD in a representative sample of the Romanian adult population. Methods: A sample of 1470 subjects were enrolled in the SEPHAR IV (Study for the Evaluation of Prevalence of Hypertension and Cardiovascular Risk) survey. All subjects were evaluated for blood pressure (BP) and extensive evaluations of target organ damage, blood, and urine samples were undertaken. Results: A total of 883 subjects were included in the statistical analysis. Those experiencing CKD with an eGFR < 60 mL/min/1.73 m2 were older at 71.94 ± 7.4 years (n = 19, 2.15%) compared with those without renal impairment at 50.3 ± 16.21 years (n = 864, 97.85%), p < 0.0001. The prevalence of CKD among hypertensives (379 from 883) was 4.49% (17/379), while 17 out of 19 subjects with CKD had HT (89.47%). After adjusting for age, sex, and diabetic status, only serum uric acid (SUR) > 6.9 mg/dL (OR: 6.61; 95% CI: 2.063, 10.83; p = 0.004) was an independent risk factor and a predictor of CKD. Conclusions: The prevalence of CKD in hypertensive Romanian adults was more than ten times higher than in the normotensive population. Levels of SUR > 6.9 mg/dL were predictors of CKD.

The Prevalence of Hyperuricemia and Its Correlates among Adults in China: Results from CNHS 2015-2017

This study aimed to investigate the prevalence of hyperuricemia (HUA) and associated risk factors in Chinese adults aged 18 to 59 years. All the data were collected from the China Nutrition and Health Surveillance during the period 2015–2017, which adopted a stratified, multistage, random sampling method on a national scale. A total of 52,627 participants aged 18 years or older were included in this study. The definition of hyperuricemia was 420 μmol/L for male and 360 μmol/L for female. The Rao–Scott chi-square test was used to compare the differences in prevalence between or among the subgroups. A weighted two-level multivariate survey-logistic regression was used to detect the correlations between HUA and demographic, physical, lifestyle and metabolic factors. The total prevalence of HUA was 15.1%, and that was higher in male, current smokers, higher BMI and less physical activities subgroups, and also in noninfectious chronic diseases (NCDs) subgroups. The subgroups of non-vegetarian diet, insufficient vegetable intakes and excessive red meat and alcohol intakes had significantly higher HUA prevalence. After introducing all the variables in the survey-logistic regression, gender, age, BMI, physically active, hypertension, diabetes mellitus, bean and nut intake, vegetable intake, red meat intake, alcohol consumption and vegetarian were associated with HUA. Among the significant variables, age and physical active served as a protective factor, and BMI showed to be a risk factor for HUA. Hypertension and dyslipidemia could increase the risk for HUA, while diabetes mellitus was shown a negative association with it. For dietary factors, vegetarian diet, sufficient beans and nuts and vegetables intake could lower the risk of HUA, but more alcohol could increase the risk of HUA. Dietary factor played a key role in HUA. It suggested that the intervention of dietary factor should receive more attention to ameliorate the high prevalence of HUA in China.

Genetic Risk Score for Plasma Uric Acid Levels Is Associated With Early Rapid Kidney Function Decline in Type 2 Diabetes

CONTEXT

Observational studies have shown that elevated uric acid (UA) is associated with chronic kidney disease (CKD). However, whether the relationship is causal remains unclear.

OBJECTIVE

To determine the association of plasma UA and incident CKD and the causal relationship between plasma UA and rapid decline in kidney function (RDKF) in patients with type 2 diabetes (T2D).

METHODS

Multivariable Cox regression was conducted to evaluate the hazard ratio (HR) between plasma UA and incident CKD among 1300 normoalbuminuric patients in 2 T2D study cohorts (DN, n = 402; SMART2D, n = 898). A weighted genetic risk score (wGRS) was calculated based on 10 single nucleotide polymorphism (SNPs) identified in genome-wide association studies of UA in East Asians. Mendelian randomization (MR) analysis was performed among 1146 Chinese T2D patients without CKD (estimated glomerular filtration rate [eGFR] > 60 mL/min/1.73m2) at baseline (DN, 478; SMART2D, 668). The wGRS and individual SNPs were used as genetic instruments and RDKF was defined as eGFR decline of 5 mL/min/1.73m2/year or greater.

RESULTS

During mean follow-up of 5.2 and 5.4 years, 81 (9%) and 46 (11%) participants in SMART2D and DN developed CKD, respectively. A 1-SD increment in plasma UA conferred higher risk of incident CKD (DN, adjusted-HR = 1.40 [95% CI, 1.02-1.91], P = 0.036; SMART2D, adjusted-HR = 1.31 [95% CI, 1.04-1.64], P = 0.018). Higher wGRS was associated with increased odds for RDKF (meta-adjusted odds ratio = 1.12 [95% CI, 1.01-1.24], P = 0.030, Phet = 0.606).

CONCLUSION

Elevated plasma UA is an independent risk factor for incident CKD. Furthermore, plasma UA potentially has a causal role in early eGFR loss in T2D patients.