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1.
BMC Nephrol ; 25(1): 189, 2024 Jun 03.
Article in English | MEDLINE | ID: mdl-38831443

ABSTRACT

BACKGROUND: -Recent evidence suggests that hyperuricemia may act as independent risk factors for erectile dysfunction (ED), in addition to the already established factors. The current evidence supporting this relationship remains insufficient. METHODS AND RESULTS: -A total of 3,810 participants from the NHANES pool between 2001 and 2004 were included in our study, comprising 1,093 individuals with ED and 2,717 individuals without ED. Univariable and multivariable logistic regression analyses were conducted to examine the relationship between uric acid (UA) and the prevalence of ED. In the fully adjusted model, no significant association was observed between UA and ED (OR = 1.02, 95% CI: 0.84-1.24), and no significant differences were noted among the various UA levels (p = 0.5). In our sensitivity analyses, employing a stricter definition for ED, no significant results were found in the fully adjusted model (OR = 0.85, 95% CI: 0.60-1.19). Furthermore, no significant differences were observed among the various UA levels (p = 0.083). CONCLUSIONS: -Our study did not establish a correlation between UA levels and ED. Nonetheless, further research with larger sample cohorts is required to verify these findings.


Subject(s)
Erectile Dysfunction , Nutrition Surveys , Uric Acid , Humans , Male , Erectile Dysfunction/epidemiology , Erectile Dysfunction/blood , Uric Acid/blood , United States/epidemiology , Middle Aged , Adult , Risk Factors , Hyperuricemia/epidemiology , Hyperuricemia/blood , Prevalence , Aged
2.
Nutr J ; 23(1): 48, 2024 May 04.
Article in English | MEDLINE | ID: mdl-38704549

ABSTRACT

BACKGROUND: Limited data regarding the correlation between oxidative balance score (OBS) and hyperuricemia highlights the necessity for thorough investigations. This study aims to examine the link between OBS, which incorporates dietary and lifestyle factors, and the occurrence of hyperuricemia. METHODS: We conducted a cross-sectional study involving 13,636 participants from the 2007-2018 National Health and Nutrition Examination Survey (NHANES). The oxidative balance score (OBS) was determined based on four lifestyle factors and sixteen dietary nutrients. We assessed the levels of serum uric acid (SUA) and the occurrence of hyperuricemia as outcomes. Weighted logistic regression and linear models were used for statistical analysis, using Restricted Cubic Splines (RCS) to examine potential nonlinear associations. Subgroup analysis and sensitivity assessments were performed to identify any variations and ensure the robustness of the findings. RESULTS: Higher OBS was consistently correlated with decreased SUA levels and a reduced prevalence of hyperuricemia. RCS highlighted a significant negative nonlinear association, particularly in females. Subgroup analysis revealed gender-based differences and interactive correlation, providing additional insights regarding OBS and hyperuricemia relationship. CONCLUSION: This study underscores a robust negative correlation between OBS and SUA levels as well as the incidence of hyperuricemia, emphasizing the importance of dietary and lifestyle factors. Incorporating RCS, subgroup analysis, and sensitivity assessments enhances the depth of our findings, providing valuable insights for further research.


Subject(s)
Diet , Hyperuricemia , Life Style , Nutrition Surveys , Uric Acid , Humans , Hyperuricemia/blood , Hyperuricemia/epidemiology , Female , Male , Cross-Sectional Studies , Nutrition Surveys/methods , Nutrition Surveys/statistics & numerical data , Middle Aged , Adult , Uric Acid/blood , Diet/methods , Diet/statistics & numerical data , Oxidative Stress , Prevalence , Aged
3.
Lipids Health Dis ; 23(1): 145, 2024 May 17.
Article in English | MEDLINE | ID: mdl-38760656

ABSTRACT

BACKGROUND: Despite abundant evidence on the epidemiological risk factors of metabolic diseases related to hyperuricemia, there is still insufficient evidence regarding the nonlinear relationship between triglyceride-glucose (TyG) index and hyperuricemia. Thus, the purpose of this research is to clarify the nonlinear connection between TyG and hyperuricemia. METHODS: From 2011 to 2018, a cross-sectional study was carried out using data from the National Health and Nutrition Examination Survey (NHANES). This study had 8572 participants in all. TyG was computed as Ln [triglycerides (mg/dL) × fasting glucose (mg/dL)/2]. The outcome variable was hyperuricemia. The association between TyG and hyperuricemia was examined using weighted multiple logistic regression, subgroup analysis, generalized additive models, smooth fitting curves, and two-piecewise linear regression models. RESULTS: In the regression model adjusting for all confounding variables, the OR (95% CI) for the association between TyG and hyperuricemia was 2.34 (1.70, 3.21). There is a nonlinear and reverse U-shaped association between TyG and hyperuricemia, with a inflection point of 9.69. The OR (95% CI) before the inflection point was 2.64 (2.12, 3.28), and after the inflection point was 0.32 (0.11, 0.98). The interaction in gender, BMI, hypertension, and diabetes analysis was statistically significant. CONCLUSION: Additional prospective studies are required to corroborate the current findings, which indicate a strong positive connection between TyG and hyperuricemia among adults in the United States.


Subject(s)
Blood Glucose , Hyperuricemia , Triglycerides , Humans , Hyperuricemia/blood , Hyperuricemia/epidemiology , Triglycerides/blood , Male , Cross-Sectional Studies , Female , Middle Aged , Adult , Blood Glucose/metabolism , Blood Glucose/analysis , Nutrition Surveys , United States/epidemiology , Risk Factors , Aged , Logistic Models
4.
Lipids Health Dis ; 23(1): 155, 2024 May 25.
Article in English | MEDLINE | ID: mdl-38796430

ABSTRACT

BACKGROUND: Remnant cholesterol (RC) has been known as an important factor for the assessment of the metabolic syndrome (Mets) risk. However, the correlation between RC and hyperuricemia (HUA) in type 2 diabetes mellitus (T2DM) remains unclear. This study aims to explore the correlation between RC and HUA in patients with T2DM. METHODS: A total of 2956 patients with T2DM admitted to the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University from 2020 to 2022 were included. The correlation between RC and HUA was evaluated with Spearman's correlation, multiple logistic regression, subgroup analyses, receiver operating characteristic (ROC) curves analyses and generalized smooth curve fitting. Total cholesterol (TC) < 5.18mmol/L was defined as normal TC. RESULTS: RC was correlated with uric acid in patients with T2DM (Spearman's correlation coefficient = 0.279, P < 0.001). According to the multiple logistic regression analyses, there was an independent positive correlation between RC and HUA (OR = 1.63, 95%CI = 1.40, 1.90). In addition, a non-linear correlation between RC and HUA was identified. The area under the ROC curve (AUC) of RC (0.658, 95%CI = 0.635, 0.681) was the largest compared with those of low-density lipoprotein cholesterol (LDL-C), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C) and TC. Subgroup analyses showed a more significant positive correlation among females or normal TC groups. CONCLUSION: Elevated RC is correlated with HUA in patients with T2DM significantly and positively. RC is better in its predictability for HUA than that of conventional lipid indexes.


Subject(s)
Cholesterol , Diabetes Mellitus, Type 2 , Hyperuricemia , ROC Curve , Uric Acid , Humans , Diabetes Mellitus, Type 2/blood , Diabetes Mellitus, Type 2/complications , Hyperuricemia/blood , Hyperuricemia/complications , Female , Male , Cross-Sectional Studies , Middle Aged , Cholesterol/blood , Uric Acid/blood , Triglycerides/blood , Aged , Adult , Logistic Models , Metabolic Syndrome/blood , Risk Factors
5.
Curr Probl Cardiol ; 49(7): 102608, 2024 Jul.
Article in English | MEDLINE | ID: mdl-38697331

ABSTRACT

BACKGROUND: No studies have been conducted to analyze the impact of serum uric acid (UA) levels on the outcome of atrial fibrillation (AF) patients. We aimed to evaluate the effect of hyperuricemia (HU) on the prognosis of AF. METHODS AND RESULTS: Consecutive patients who consulted our emergency room for an episode of AF, already known or newly diagnosed, between January 1, 2010, and December 31, 2015 (n=2017) were enrolled. After applying exclusion criteria, 1772 patients were included. Serum UA levels in the 6 months before or after the date of the episode were recorded and classified into quartiles: Q1 (n=443) serum UA levels <4.6 mg/dL; Q2 (n=430) 4.6-5.6 mg/dL; Q3 (n=435) 5.7-6.9 mg/dL; and Q4 (n=464) ≥7 mg/dL. Two groups were differentiated: patients without HU (Q1-Q3) and those with HU (Q4). The mean follow-up was 3.7 ± 1.4 years. The primary endpoint was all-cause mortality during follow-up. Mortality during follow-up in the bivariate analysis was higher (p < 0.001) in patients with HU (52.1 %) compared to those without it (35.3 %), confirming multivariate Cox analysis of HU as an independent risk factor for death [hazard ratio 1.89 (1.59-2.25)]. Kaplan-Meier survival analysis showed a shorter survival time in patients with HU (log-rank test, p<0.001). Cox analysis confirmed significant differences in the risk of heart failure (30 % vs. 22 %) in patients with HU. CONCLUSIONS: HU is independently associated with an increased risk for all-cause mortality and hospitalization for heart failure in patients with AF.


Subject(s)
Atrial Fibrillation , Hyperuricemia , Uric Acid , Aged , Female , Humans , Male , Middle Aged , Atrial Fibrillation/epidemiology , Atrial Fibrillation/complications , Biomarkers/blood , Cause of Death/trends , Follow-Up Studies , Hyperuricemia/epidemiology , Hyperuricemia/complications , Hyperuricemia/blood , Prognosis , Retrospective Studies , Risk Factors , Survival Rate/trends , Time Factors , Uric Acid/blood
6.
Int J Rheum Dis ; 27(5): e15193, 2024 May.
Article in English | MEDLINE | ID: mdl-38742430

ABSTRACT

OBJECTIVE: Known for anti-inflammatory and antioxidant properties, flavonoid has phytoestrogenic effects, but it is unclear whether its role in hyperuricemia and metabolic syndrome (MetS) differs by gender. Moreover, given the strong association between hyperuricemia and MetS, we aimed to explore whether flavonoid is a protective factor for hyperuricemia, independently of MetS, in different genders. METHODS: Data for 2007-2010 and 2017-2018 were obtained from the National Health and Nutrition Examination Survey (NHANES) and the Food and Nutrient Database for Dietary Studies (FNDDS). To assess the association among flavonoid, hyperuricemia, and MetS, multivariate logistic regression and subgroup analyses were conducted. Besides, to investigate whether the association between flavonoid and hyperuricemia was independent of MetS, multivariate logistic regression models were further conducted to explore the association between flavonoid and MetS among females with hyperuricemia and to investigate the association between flavonoid and hyperuricemia among females after excluding MetS. RESULT: Among 5356 females, anthocyanin intake was inversely associated with the prevalence of hyperuricemia (Q4 vs. Q1: OR 0.49, 95% CI 0.31 to 0.76), and MetS (Q4 vs. Q1: OR 0.68, 95% CI 0.50 to 0.93). Furthermore, subgroup analyses showed the beneficial association between anthocyanin and hyperuricemia among females aged 40 to 59 years and menopausal. However, among 5104 males, no significant association was observed after adjustment for covariates (Q4 vs. Q1: OR 0.81, 95% CI 0.56 to 1.18). While in 372 females with hyperuricemia, no significant association was found between MetS and anthocyanin (Q4 vs. Q1: OR 0.88, 95% CI 0.31 to 2.49). Meanwhile, among 3335 females after excluding MetS, there was still a significant association between anthocyanin and a lower prevalence of hyperuricemia (Q4 vs. Q1: OR 0.38, 95% CI 0.17 to 0.85). CONCLUSION: Dietary anthocyanin is associated with a lower prevalence of hyperuricemia independently of MetS among females. Foods rich in anthocyanin should be emphasized for females, especially those aged 40 to 59 years and menopausal, which may be of potential significance in the prevention of hyperuricemia.


Subject(s)
Anthocyanins , Hyperuricemia , Metabolic Syndrome , Nutrition Surveys , Humans , Hyperuricemia/epidemiology , Hyperuricemia/blood , Hyperuricemia/diagnosis , Female , Metabolic Syndrome/epidemiology , Metabolic Syndrome/blood , Metabolic Syndrome/diagnosis , Prevalence , Adult , Middle Aged , Anthocyanins/administration & dosage , Sex Factors , Male , Risk Factors , Cross-Sectional Studies , United States/epidemiology , Protective Factors , Diet/adverse effects , Uric Acid/blood , Biomarkers/blood , Time Factors , Multivariate Analysis
7.
Nutrients ; 16(10)2024 May 15.
Article in English | MEDLINE | ID: mdl-38794730

ABSTRACT

BACKGROUND: Serum vitamin D is associated with hyperuricemia. However, previous studies have been controversial, with limited focus on children and adolescents. OBJECTIVE: This study aimed to examine the cross-sectional and longitudinal associations between serum vitamin D and serum uric acid (SUA) levels in children and adolescents. METHODS: The cross-sectional survey comprised 4777 participants aged 6 to 18 years, while the longitudinal survey involved 1641 participants aged 6 to 12 years, all derived from an ongoing cohort study in Shenzhen, China. Restricted cubic splines were used to visualize the dose-response relationship between vitamin D and SUA and the risk of higher SUA status. Two-segment generalized linear models (GLM) and logistic models were used to assess the association between vitamin D and SUA and higher SUA status, respectively. The longitudinal analysis used GLM. RESULTS: We observed an inverted U-shaped relationship between vitamin D and SUA (p-overall < 0.0001, p-nonlinear = 0.0002), as well as the risk of higher SUA status (p-overall = 0.0054, p-nonlinear = 0.0015), with the vitamin D inflection point at 24.31 and 21.29 ng/mL, respectively. A 10 ng/mL increment in 25(OH)D3 levels, when below 20.92 ng/mL, was associated with a 68% rise in the risk of higher SUA status (OR: 1.68, 95%CI: 1.07-2.66). Conversely, when 25(OH)D3 levels were above or equal to 20.92 ng/mL, a 10 ng/mL increment was associated with a 45% reduction risk of higher SUA status (OR: 0.55, 95%CI: 0.36-0.84). Longitudinal analysis indicated that the annual change of SUA was from -4.80 (ß, 95%CI: -10.74, 1.13) to -9.00 (ß, 95%CI: -15.03, -2.99) and then to -6.77 (ß, 95%CI: -12.83, -0.71, p for trend = 0.0212) µmol/L when increasing the quartile of vitamin D3. CONCLUSIONS: An inverse U-shaped relationship was observed between vitamin D and SUA as well as the risk of higher SUA status. Sufficient vitamin D levels appear to play a preventative role against the age-related increase in SUA. Ensuring adequate vitamin D levels may be beneficial in improving uric acid metabolism.


Subject(s)
Uric Acid , Vitamin D , Humans , Uric Acid/blood , Child , Cross-Sectional Studies , Adolescent , Longitudinal Studies , Vitamin D/blood , Vitamin D/analogs & derivatives , Male , Female , China , Hyperuricemia/blood , Hyperuricemia/epidemiology , Risk Factors
8.
Ann Med ; 56(1): 2357224, 2024 Dec.
Article in English | MEDLINE | ID: mdl-38779715

ABSTRACT

BACKGROUND: Abdominal aortic aneurysm (AAA) is highly lethal upon onset of acute aortic diseases (AAD) or rupture. Dyslipidaemia and hyperuricaemia are important risk factors for the development of AAA and AAD as well as aortic disease-related death. The aim of this study was to explore whether uric acid (UA) to high-density lipoprotein cholesterol (HDL-C) ratio (UHR) can be used as an independent predictor of the presence of AAA or AAD. METHODS: Three hundred subjects, including 100 AAA patients (AAA group), 100 AAD patients (AAD group) and 100 controls (CON group), were recruited in this study. UHR and other serum samples were obtained upon the patients' admission before any medical treatment. The optimal cut-off points of UHR were determined using receiver operating characteristic (ROC) curve analysis. RESULTS: The UHR in AAA group was significantly higher than that in CON group, but there was no significant difference between AAD group and CON group. The optimal cut-off point of UHR for AAA was 7.78 (sensitivity 84.7%, specificity 62.4%, and AUC 0.811; p < 0.001), and UHR (OR: 1.122, 95%CI: 1.064-1.184; p < 0.001) was found to be an independent factor for predicting AAA after adjusting for traditional AAA risk factor. CONCLUSION: UHR can be widely used in clinical practice as an auxiliary tool for screening AAA. The optimal cut-off point for UHR to AAA was determined for the first time in Chinese subjects.


Subject(s)
Aortic Aneurysm, Abdominal , Cholesterol, HDL , Uric Acid , Humans , Aortic Aneurysm, Abdominal/blood , Aortic Aneurysm, Abdominal/diagnosis , Aortic Aneurysm, Abdominal/epidemiology , Uric Acid/blood , Male , Female , Cholesterol, HDL/blood , Aged , Middle Aged , ROC Curve , Risk Factors , Case-Control Studies , Biomarkers/blood , Predictive Value of Tests , Hyperuricemia/blood , Hyperuricemia/diagnosis , Hyperuricemia/complications
9.
Pan Afr Med J ; 47: 49, 2024.
Article in English | MEDLINE | ID: mdl-38681101

ABSTRACT

Introduction: pre-eclampsia (PE) is a multisystemic pregnancy-specific hypertensive disorder associated with significant adverse maternal and perinatal outcomes. Maternal serum uric acid level is hypothesized as a reliable marker for predicting the severity and adverse outcomes of pre-eclampsia and facilitating clinical decisions. This study explored the association between maternal serum uric acid and adverse pregnancy outcomes in pre-eclampsia. Methods: a cross-sectional study involving women diagnosed with pre-eclampsia was conducted at Korle-Bu Teaching Hospital (KBTH), a tertiary hospital in Ghana. Descriptive analyses were performed and multivariable logistic regression model was used to explore the association between maternal serum uric acid levels and pregnancy outcomes using R software. Results: we included 100 women with pre-eclampsia comprising 79% and 21% preterm and term pre-eclampsia respectively and with mean gestational age (GA) at diagnosis of 32.35±2.66 weeks and 35.96±1.94 weeks respectively. The mean maternal age of preterm and term pre-eclampsia groups was 29.81±5.29 years and 29.46±5.78 years respectively. Hyperuricemia (serum uric acid >375 µmol/L) occurred in 61% of the pre-eclamptic women. The mean gestational age (in weeks) at diagnosis was significantly lower in the pre-eclamptic women with hyperuricemia compared with those with normal levels of uric acid (33.51±3.03 versus 34.80±2.71). There was a significant negative association (moderate correlation) between maternal serum uric acid levels and birth weight (R= -0.34, p < 0.001) in pre-eclampsia; the statistical significance was limited to preterm only (Pearson R= -0.39, p-value <0.001) but not term pre-eclampsia. Hyperuricemia was significantly associated with low birth weight [aOR: 3.222 (95% CI: 1.098, 10.393)], caesarean section [aOR: 2.281 (95% CI: 1.084, 7.568)] and severe diastolic pressure at birth [aOR: 3.517 (95% CI: 1.123, 11.939)]. Conclusion: hyperuricemia in pre-eclampsia was significantly associated with both maternal (caesarean section and severe hypertension) and neonatal (low birth weight) adverse outcomes. Hyperuricemia seems clinically useful in predicting pregnancy outcomes, especially in preterm pre-eclampsia. Further longitudinal study is recommended in exploring the clinical significance of maternal uric acid levels and pregnancy outcomes in pre-eclampsia.


Subject(s)
Biomarkers , Gestational Age , Hyperuricemia , Pre-Eclampsia , Pregnancy Outcome , Uric Acid , Humans , Pre-Eclampsia/blood , Pre-Eclampsia/epidemiology , Female , Pregnancy , Cross-Sectional Studies , Uric Acid/blood , Ghana/epidemiology , Adult , Hyperuricemia/epidemiology , Hyperuricemia/blood , Infant, Newborn , Young Adult , Biomarkers/blood , Premature Birth/epidemiology , Infant, Low Birth Weight , Severity of Illness Index
11.
Medicine (Baltimore) ; 103(17): e37713, 2024 Apr 26.
Article in English | MEDLINE | ID: mdl-38669360

ABSTRACT

Previous research has suggested that the monocyte-to-high-density lipoprotein ratio (MHR), an emerging inflammatory biomarker, holds promise in predicting the prevalence of various cardiovascular and metabolic diseases. However, earlier investigations were constrained by the relatively modest sample sizes. This study endeavored to expand the sample size and conduct a more comprehensive exploration of the potential relationship between MHR and hyperuricemia. This cross-sectional study incorporated data from participants of the 2009 to 2018 National Health and Nutrition Examination Survey (NHANES) with complete and qualifying information. MHR was determined by calculating the ratio between monocyte count and high-density lipoprotein levels. Various statistical methodologies such as weighted multivariate logistic regression, subgroup analysis, smoothed curve fitting, and threshold analysis, have been used to explore the correlation between hyperuricemia and MHR. The study included a cohort of 17,694 participants, of whom 3512 were diagnosed with hyperuricemia. MHR levels were notably higher in the hyperuricemia group than in the normal group, aligning with an elevated body mass index (BMI). A comprehensive multivariate logistic analysis, accounting for all relevant adjustments, revealed a notable positive correlation between MHR and hyperuricemia (P < .001, OR = 1.98, 95% CI: 1.54-2.54). Subgroup analysis indicated that the MHR exhibited an enhanced predictive capacity for identifying hyperuricemia risk, particularly in females (P < .05). Curvilinear and threshold analyses revealed a nonlinear association between MHR and hyperuricemia prevalence, with a notable inflection point at 0.826. In the US population, a clear positive correlation was observed between the MHR and prevalence of hyperuricemia. Importantly, the MHR is a more robust predictor of hyperuricemia risk in females. Further investigations are required to confirm these findings.


Subject(s)
Hyperuricemia , Lipoproteins, HDL , Monocytes , Nutrition Surveys , Humans , Hyperuricemia/epidemiology , Hyperuricemia/blood , Female , Monocytes/metabolism , Male , Cross-Sectional Studies , Middle Aged , Lipoproteins, HDL/blood , Adult , Biomarkers/blood , Body Mass Index , Risk Factors , United States/epidemiology , Aged
12.
PeerJ ; 12: e17266, 2024.
Article in English | MEDLINE | ID: mdl-38650643

ABSTRACT

Objective: Whether serum uric acid (SUA) at baseline could been identiûed as a risk factor for progression in IgA nephropathy (IgAN) patients remains unclear, therefore, long- term SUA control levels must be monitored. We aimed to investigate the relevant factors affecting time-averaged SUA (TA-SUA) and to assess the prognostic value of TA-SUA in IgAN. Methods: This retrospective study included 152 patients with IgAN. The relationships between TA-SUA and clinicopathological features and renal outcomes (defined as the doubling of the baseline serum creatinine level or end-stage renal disease) were analyzed in groups divided by quartiles of TA-SUA levels, the presence of hyperuricemia, and sex. Results: Patients with high TA-SUA levels had higher levels of baseline SUA, blood urea nitrogen (BUN), triglycerides, serum C3 and serum C4 and were more likely to be male and have hypertension, proteinuria, poor renal function, and pathological injuries including high grades of tubular atrophy/interstitial fibrosis (T1-T2). These patients had a poorer prognosis compared with patients with low TA-SUA levels. The TA-SUA level was positively correlated with baseline age and BUN, triglycerides, serum C3, and serum C4 levels, and negatively correlated with baseline eGFR. Survival curve analysis indicated that persistent hyperuricemia was associated with significantly poorer renal outcomes than normo-uricemia in both men and women. The TA-SUA level also was an independent predictor of renal outcome in patients with IgAN, with optimal cutoû values of 451.38 µmol/L (area under the curve (AUC) = 0.934) for men and 492.83 µmol/L (AUC = 0.768) for women. Conclusions: The TA-SUA level is associated with triglyceride level, complement component levels, renal function, and pathological severity of IgAN, and it may be a prognostic indicator in male and female patients with IgAN.


Subject(s)
Glomerulonephritis, IGA , Uric Acid , Humans , Glomerulonephritis, IGA/blood , Glomerulonephritis, IGA/pathology , Male , Female , Uric Acid/blood , Retrospective Studies , Adult , Prognosis , Hyperuricemia/blood , Middle Aged , Disease Progression , Risk Factors , Kidney Failure, Chronic/blood
13.
J Hazard Mater ; 471: 134312, 2024 Jun 05.
Article in English | MEDLINE | ID: mdl-38640681

ABSTRACT

Previous studies indicated per- and poly-fluoroalkyl substances (PFAS) were related to uric acid and hyperuricemia risk, but evidence for the exposure-response (E-R) curves and combined effect of PFAS mixture is limited. Moreover, the potential mediation effect of kidney function was not assessed. Hence, we conducted a national cross-sectional study involving 13,979 US adults in NHANES 2003-2018 to examine the associations of serum PFAS with uric acid and hyperuricemia risk, and the mediation effects of kidney function. Generalized linear models and E-R curves showed positive associations of individual PFAS with uric acid and hyperuricemia risk, and nearly linear E-R curves indicated no safe threshold for PFAS. Weighted quantile sum regression found positive associations of PFAS mixture with uric acid and hyperuricemia risk, and PFOA was the dominant contributor to the adverse effect of PFAS on uric acid and hyperuricemia risk. Causal mediation analysis indicated significant mediation effects of kidney function decline in the associations of PFAS with uric acid and hyperuricemia risk, with the mediated proportion ranging from 19 % to 57 %. Our findings suggested that PFAS, especially PFOA, may cause increased uric acid and hyperuricemia risk increase even at low levels, and kidney function decline plays a crucial mediation effect.


Subject(s)
Fluorocarbons , Hyperuricemia , Kidney , Uric Acid , Humans , Uric Acid/blood , Hyperuricemia/chemically induced , Hyperuricemia/blood , Male , Middle Aged , Female , Adult , Fluorocarbons/toxicity , Fluorocarbons/blood , Cross-Sectional Studies , Kidney/drug effects , Kidney/physiopathology , Environmental Pollutants/toxicity , Environmental Pollutants/blood , Environmental Exposure/adverse effects , Nutrition Surveys , Aged
14.
Sci Rep ; 14(1): 9901, 2024 04 30.
Article in English | MEDLINE | ID: mdl-38688923

ABSTRACT

Hyperuricemia (HUA) is a symptom of high blood uric acid (UA) levels, which causes disorders such as gout and renal urinary calculus. Prolonged HUA is often associated with hypertension, atherosclerosis, diabetes mellitus, and chronic kidney disease. Studies have shown that gut microbiota (GM) affect these chronic diseases. This study aimed to determine the relationship between HUA and GM. The microbiome of 224 men and 254 women aged 40 years was analyzed through next-generation sequencing and machine learning. We obtained GM data through 16S rRNA-based sequencing of the fecal samples, finding that alpha-diversity by Shannon index was significantly low in the HUA group. Linear discriminant effect size analysis detected a high abundance of the genera Collinsella and Faecalibacterium in the HUA and non-HUA groups. Based on light gradient boosting machine learning, we propose that HUA can be predicted with high AUC using four clinical characteristics and the relative abundance of nine bacterial genera, including Collinsella and Dorea. In addition, analysis of causal relationships using a direct linear non-Gaussian acyclic model indicated a positive effect of the relative abundance of the genus Collinsella on blood UA levels. Our results suggest abundant Collinsella in the gut can increase blood UA levels.


Subject(s)
Gastrointestinal Microbiome , Hyperuricemia , Machine Learning , RNA, Ribosomal, 16S , Uric Acid , Humans , Hyperuricemia/microbiology , Hyperuricemia/blood , Male , Female , Adult , RNA, Ribosomal, 16S/genetics , Uric Acid/blood , Feces/microbiology , High-Throughput Nucleotide Sequencing , Middle Aged
15.
Nutr Metab Cardiovasc Dis ; 34(6): 1559-1570, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38658225

ABSTRACT

BACKGROUND AND AIMS: The potential influence of left atrial size on the relationship between uric acid and atrial fibrillation has not been fully investigated. This study aims to evaluate the interaction effect of left atrial size on the association between uric acid and atrial fibrillation in patients with coronary artery disease. METHODS AND RESULTS: This retrospective cohort study, conducted from January 2018 to October 2022, included 2004 patients undergoing Drug-Eluting Stent implantation for coronary artery disease. Utilizing logistic regression models with the product of left atrial enlargement (LAE) and uric acid, interaction effects were assessed. Among the participants, 383 had LAE, and 159 experienced atrial fibrillation. After adjusting for covariates, continuous uric acid levels were associated with an increased risk of atrial fibrillation in patients without LAE (OR:1.631, 95% CI: 1.284-2.072), but not in those with LAE (OR:1.069, 95% CI: 0.848-1.348). A significant interaction of uric acid levels was observed between groups with and without LAE (p = 0.046). Restricted cubic spline curves indicated a J-shaped relationship between uric acid and atrial fibrillation in the absence of LAE. However, the association between uric acid levels and atrial fibrillation in the LAE group remained unchanged with increasing uric acid levels. CONCLUSION: The study suggested that left atrial size modified the association between uric acid and atrial fibrillation in patients with coronary artery disease. Uric acid serves as a potential biomarker for atrial fibrillation risk, especially in individuals without LAE.


Subject(s)
Atrial Fibrillation , Biomarkers , Coronary Artery Disease , Heart Atria , Uric Acid , Humans , Atrial Fibrillation/blood , Atrial Fibrillation/diagnosis , Atrial Fibrillation/physiopathology , Uric Acid/blood , Male , Female , Coronary Artery Disease/blood , Coronary Artery Disease/diagnosis , Coronary Artery Disease/diagnostic imaging , Middle Aged , Retrospective Studies , Aged , Heart Atria/diagnostic imaging , Heart Atria/physiopathology , Risk Factors , Biomarkers/blood , Risk Assessment , Percutaneous Coronary Intervention/adverse effects , Hyperuricemia/blood , Hyperuricemia/diagnosis , Hyperuricemia/epidemiology , Drug-Eluting Stents , Atrial Remodeling , Atrial Function, Left
16.
Nutr Metab Cardiovasc Dis ; 34(6): 1554-1558, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38664128

ABSTRACT

BACKGROUND AND AIMS: The rising prevalence of metabolic syndrome (MetS) is a matter of serious concern worldwide. Hyperuricemia has been observed as an independent risk factor in the development of MetS and each of its individual components in different populations. This study aims to determine the association of hyperuricemia with MetS and its individual components in a Pakistani cohort. METHODS AND RESULTS: A cross-sectional study was performed in a public sector hospital in Faisalabad, Pakistan. Total 204 participants were studied along with their anthropometric measurements and blood sample analysis for clinically important parameters. MetS was defined according to the NCEP-criteria. Independent sample t-test, Binomial logistic regression and Linear regression analyses were used to determine the association between hyperuricemia and metabolic syndrome. The prevalence of MetS and hyperuricemia in our study was 42.6% and 31.9% respectively. As compared to the normo-uricemic group, the hyperuricemic group had a significantly higher systolic blood pressure, BMI and lower HDL-C level (p < 0.05). After adjusting for age, gender, BMI and LDL-C, hyperuricemia was observed to increase the risk of MetS, increased systolic blood pressure and reduce HDL-C respectively by 1.34, 1.23 and 1.20 folds respectively. CONCLUSION: In this study, a significant association between hyperuricemia and metabolic syndrome, systolic hypertension, blood glucose and decreased HDL-C was observed.


Subject(s)
Biomarkers , Hyperuricemia , Metabolic Syndrome , Uric Acid , Humans , Metabolic Syndrome/epidemiology , Metabolic Syndrome/diagnosis , Metabolic Syndrome/blood , Hyperuricemia/epidemiology , Hyperuricemia/blood , Hyperuricemia/diagnosis , Pakistan/epidemiology , Male , Female , Cross-Sectional Studies , Prevalence , Adult , Middle Aged , Risk Factors , Biomarkers/blood , Uric Acid/blood , Blood Pressure , Hypertension/epidemiology , Hypertension/diagnosis , Hypertension/blood , Body Mass Index , Linear Models , Logistic Models , Odds Ratio , Young Adult , Risk Assessment
18.
Nutr Metab Cardiovasc Dis ; 34(6): 1538-1545, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38644080

ABSTRACT

BACKGROUND AND AIMS: The role of fractional flow reserve (FFR) in coronary intermediate lesions is widely recommended by guidelines. The effect of uric acid (UA) on cardiovascular events is also well known. However, the relationship between UA and long-term cardiovascular outcomes in patients who received FFR with intermediate lesions remains unknown. METHODS AND RESULTS: We retrospectively included 428 patients who underwent both coronary angiography (CAG) and FFR. Participants were stratified into two groups based on the median UA. The primary endpoint was the composite of major adverse cardiovascular and cerebrovascular events (MACCEs), including repeat revascularization, nonfatal stroke, nonfatal myocardial infarction, and all-cause death. A Cox proportional hazards model was utilized to analyze the association between UA and the prevalence of MACCEs. During a median follow-up of 5.8 years, a higher MACCEs rate occurred in the high UA group compared to the low UA group (16.8% vs. 5.1%, p log-rank<0.01). Elevated UA was independently linked to a higher incidence of MACCEs, whether UA was treated as a categorical or continuous variable (hazard ratio [HR] 2.76, 95% confidence interval [CI] 1.27-6.03 or HR 1.01, 95% CI 1.01-1.02). The restricted cubic spline (RCS) analysis illustrated that the HR for MACCEs increased with increasing UA. CONCLUSION: The present study demonstrates that UA is associated with MACCEs risk and suggests that UA is a reliable predictor of long-term cardiovascular events in coronary intermediate stenosis patients.


Subject(s)
Biomarkers , Coronary Angiography , Coronary Stenosis , Fractional Flow Reserve, Myocardial , Hyperuricemia , Uric Acid , Humans , Male , Female , Uric Acid/blood , Retrospective Studies , Aged , Middle Aged , Time Factors , Risk Factors , Coronary Stenosis/physiopathology , Coronary Stenosis/diagnostic imaging , Coronary Stenosis/diagnosis , Coronary Stenosis/blood , Risk Assessment , Hyperuricemia/diagnosis , Hyperuricemia/blood , Hyperuricemia/epidemiology , Hyperuricemia/physiopathology , Biomarkers/blood , Up-Regulation , Coronary Artery Disease/physiopathology , Coronary Artery Disease/diagnostic imaging , Coronary Artery Disease/diagnosis , Coronary Artery Disease/blood , Predictive Value of Tests , Cardiac Catheterization/adverse effects
19.
Nat Commun ; 15(1): 3441, 2024 Apr 24.
Article in English | MEDLINE | ID: mdl-38658550

ABSTRACT

Hyperuricemia is an essential causal risk factor for gout and is associated with cardiometabolic diseases. Given the limited contribution of East Asian ancestry to genome-wide association studies of serum urate, the genetic architecture of serum urate requires exploration. A large-scale cross-ancestry genome-wide association meta-analysis of 1,029,323 individuals and ancestry-specific meta-analysis identifies a total of 351 loci, including 17 previously unreported loci. The genetic architecture of serum urate control is similar between European and East Asian populations. A transcriptome-wide association study, enrichment analysis, and colocalization analysis in relevant tissues identify candidate serum urate-associated genes, including CTBP1, SKIV2L, and WWP2. A phenome-wide association study using polygenic risk scores identifies serum urate-correlated diseases including heart failure and hypertension. Mendelian randomization and mediation analyses show that serum urate-associated genes might have a causal relationship with serum urate-correlated diseases via mediation effects. This study elucidates our understanding of the genetic architecture of serum urate control.


Subject(s)
Genome-Wide Association Study , Hyperuricemia , Uric Acid , Humans , DNA-Binding Proteins/genetics , Genetic Predisposition to Disease , Gout/genetics , Gout/blood , Heart Failure/genetics , Heart Failure/blood , Hypertension/genetics , Hypertension/blood , Hyperuricemia/genetics , Hyperuricemia/blood , Mendelian Randomization Analysis , Multifactorial Inheritance , Polymorphism, Single Nucleotide , Transcriptome , Uric Acid/blood
20.
Endocr Pract ; 30(5): 417-423, 2024 May.
Article in English | MEDLINE | ID: mdl-38479647

ABSTRACT

OBJECTIVE: An alterable risk factor for hyperuricemia is obesity. Additionally, obese people may have a moderate form of acquired resistance to thyroid hormones. Thyrotropin, thyroid hormones, and obesity all interact subtly. However, the connection between thyroid hormone sensitivity and hyperuricemia in obese patients both before and after laparoscopic sleeve gastrectomy (LSG) has not yet been clarified. The objective of our study was to investigate the connection between impaired thyroid hormone sensitivity and elevated uric acid (UA) levels before and after LSG. METHODS: In total, 1054 euthyroid patients with obesity (481 males, 573 females), 248 (143 female patients) of whom underwent subsequent LSG, were enrolled in this retrospective study. Anthropometric measurements and thyroid hormone and UA levels were taken before and 3 months after LSG. RESULTS: Female patients with obesity with impaired sensitivity to thyroid hormones had higher UA levels (P for trend <.01). The odds ratio of the fourth vs first quartile of thyroid feedback quantile index, thyrotropin index, and thyrotropin-thyroxine resistance index were 4.285 (confidence interval: 1.360-13.507), 3.700 (confidence interval: 1.276-10.729), and 2.839 (confidence interval: 1.014-7.948), respectively, with robust relationships with female hyperuricemia (all P < .05). However, there was only a positive correlation between the decline in UA levels and thyroid feedback quantile index, thyrotropin, and thyrotropin-thyroxine resistance index in female patients following LSG. CONCLUSION: Female hyperuricemia is correlated with higher thyroid hormone resistance index scores. Resistance to thyroid hormones was greatly improved by LSG. The decrease in UA levels after surgery is correlated with the improvement of thyroid hormone resistance after LSG.


Subject(s)
Gastrectomy , Laparoscopy , Obesity , Thyroid Hormones , Uric Acid , Humans , Female , Adult , Gastrectomy/methods , Uric Acid/blood , Retrospective Studies , Middle Aged , Obesity/surgery , Obesity/blood , Obesity/complications , Male , Thyroid Hormones/blood , Thyrotropin/blood , Hyperuricemia/blood , Hyperuricemia/epidemiology , Obesity, Morbid/surgery , Obesity, Morbid/blood
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