scholarly journals Interaction of Alcohol Consumption and ABCG2 rs2231142 Variant Contributes to Hyperuricemia in a Taiwanese Population

2021 ◽  
Vol 11 (11) ◽  
pp. 1158
Author(s):  
I-Chieh Chen ◽  
Yen-Ju Chen ◽  
Yi-Ming Chen ◽  
Hsueh-Ju Lin ◽  
Ying-Cheng Lin ◽  
...  
Keyword(s):  
Uric Acid ◽  
Alcohol Consumption ◽  
Serum Uric Acid ◽  
Genetic Locus ◽  
Epidemiologic Studies ◽  
Taiwanese Population ◽  
Logistic Regression Models ◽  
Lifestyle Risk Factors ◽  
Study Population ◽  
Lifestyle Risk

Background: ABCG2 rs2231142 is an important genetic factor that contributes to the development of gout and hyperuricemia (HUA). Epidemiologic studies have demonstrated that lifestyle risk factors of HUA (e.g., alcohol consumption) and genetic predisposition (e.g., ABCG2 gene) together, contribute to enhanced serum uric acid levels. However, the interaction between ABCG2 rs2231142, alcohol consumption, and HUA in the Taiwanese population is still unclear. Therefore, this study investigated whether the risk of HUA is associated with ABCG2 rs2231142 variants and how this is affected by alcohol consumption. Method: study subjects were selected from the participants of the Taiwan Biobank database. Overall, 114,540 participants aged 30 to 70 years were enrolled in this study. The interaction between ABCG2 rs2231142, alcohol consumption, and serum uric acid (sUA) levels was analyzed by multiple logistic regression models. Results: the prevalence of HUA was 32.7% and 4.4 % in the male and female populations, respectively. In the whole study population, the minor T allele of ABCG2 rs2231142 was significantly associated with HUA risk, and the occurrence of HUA was high in TT genotype and TG genotype. The risk of HUA was significantly increased by the combined association of ABCG2 rs2231142 and alcohol consumption for TG/TT genotype compared to the GG genotype (wild-type genotype), especially among women. Conclusion: the ABCG2 rs2231142 is a crucial genetic locus for sUA levels in the Taiwanese population and our findings revealed that alcohol consumption combined with the ABCG2 rs2231142 risk allele contributes to increased HUA risk.

scholarly journals Association of ABCG2 rs2231142-A allele and serum uric acid levels in male and obese individuals in a Han Taiwanese population

2017 ◽  
Vol 116 (1) ◽  
pp. 18-23 ◽  
Author(s):  
Shih-Tsung Cheng ◽  
Semon Wu ◽  
Cheng-Wen Su ◽  
Ming-Sheng Teng ◽  
Lung-An Hsu ◽  
...  
Keyword(s):  
Uric Acid ◽  
Serum Uric Acid ◽  
Taiwanese Population

scholarly journals Associations of co-exposure to metals with serum uric acid and hyperuricemia: A cross-sectional study

2020 ◽  
Author(s):  
Shunli Jiang ◽  
Shuang Zhou ◽  
Huimin Liu ◽  
Cheng Peng ◽  
Xu Zhang ◽  
...  
Keyword(s):  
Uric Acid ◽  
Serum Uric Acid ◽  
Arsenic Exposure ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
High Selenium ◽  
Urinary Vanadium ◽  
Metals Exposure

Abstract While lead exposure is associated with hyperuricemia, there is scarce evidence about whether other metals are associated with serum uric acid (SUA) levels and hyperuricemia, and whether joint effects among metals existed. We conducted a cross-sectional study in 1950 eligible participants with 20 metals measured in urine. We used multivariable linear and logistic regression models to investigate the associations of metals exposure with SUA levels and hyperuricemia risk. We found that urinary vanadium and arsenic concentrations were associated with increased SUA levels in both sexes while urinary selenium concentrations were inversely associated with SUA levels in males. Each doubling of vanadium, arsenic, and selenium concentrations was associated with an adjusted odds ratio of 1.17 (95% CI: 1.03, 1.33), 1.22 (95% CI: 0.99, 1.50), and 0.67 (95% CI: 0.50, 0.88) for hyperuricemia in males, respectively. In addition, under the exposure of vanadium and arsenic, only if high selenium content existed, no significantly increased SUA levels and hyperuricemia risk in both sexes can be found. Vanadium and arsenic exposure were suggested to be associated with elevated SUA levels and hyperuricemia risk with sex difference while high selenium status might counteract their detrimental effects.

scholarly journals Serum uric acid is no more a by-stander for risk of cardiovascular diseases in metabolic syndrome: a prospective study

2021 ◽  
Vol 8 (6) ◽  
pp. 788
Author(s):  
Anirudh Kumar Allam ◽  
Chandrakant Chavan ◽  
Rahul Mandole ◽  
Jagdish Hiremath ◽  
Vikrant Khese
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Uric Acid ◽  
Cardiovascular Risk ◽  
Cardiovascular Diseases ◽  
Serum Uric Acid ◽  
Serum Uric Acid Level ◽  
Worldwide Population ◽  
Study Population ◽  
A Prospective Study

Background: Cardiovascular diseases have become the fastest growing health issue in India and worldwide. Population with metabolic syndrome is known to be pre-disposed to several chronic disorders along with higher risk of experiencing cardiovascular events. The role of uric acid as a cardiovascular risk factor in metabolic syndrome was not well studied in the literature, which made us to undertake the present study.Methods: All the patients aged between 18 to 75 years (both gender) who approached Madhavbaug cardiac care clinics located in Maharashtra, India for assessing risk of heart disease from January 2015 to January 2017 were screened. Risk factors for metabolic syndrome have been evaluated among the study population and categorised into metabolic syndrome positive (³3 risk factors) and negative groups (<3 risk factors). Statistical analysis was done using SPSS software version: 21.0.Results: Our study includes 2294 subjects who met the inclusion and exclusion criteria. Males outnumbered the females and sex ratio was 2.89:1. Females had lower serum uric acid levels compared to males irrespective of metabolic component. Gender and serum uric acid levels (high and low) were used stratification of the subjects. Serum uric acid is an independent predictor of cardiovascular diseases with an Odds ratio of 1.13 (95% confidence interval).Conclusions: Serum uric acid level is one of the important predictor for cardiovascular risk in metabolic syndrome. Raised uric acid is not an innocent by-stander and one of the major contributors in development of cardiovascular diseases.

scholarly journals Assessment of the level of serum uric acid in patients of pre-eclampsia and their comparison with levels in normotensive pregnancy

2018 ◽  
Vol 7 (12) ◽  
pp. 4900
Author(s):  
Hemant G. Deshpande ◽  
Chandrakant S. Madkar ◽  
Madhukar Shinde ◽  
Vilisha S. Kothari
Keyword(s):  
Uric Acid ◽  
Serum Uric Acid ◽  
Economic Status ◽  
Venous Blood ◽  
Perinatal Morbidity ◽  
Third Trimester ◽  
Socio Economic Status ◽  
Geographical Variations ◽  
Study Population ◽  
Normotensive Pregnancy

Background: Pre-eclampsia is one of the major causes of maternal and perinatal morbidity and mortality. There are various parameters to evaluate pre-eclampsia. S.uric acid levels is one of the important biochemical markers in pre-eclampsia. The objective of current study is to compare the levels of S.uric acid in pre-eclamptic patients and normotensive patients.Methods: A total of 256 antenatal patients, consisting of two groups, 128 patients in each group diagnosed with pre-eclampsia (either earlier or during examination) and 128 control antenatal patients in their third trimester were considered. Both the groups were compared in relation to age, parity, socio economic status and geographical variations. Blood sample (venous blood) of about 5ml was drawn from the ante cubital vein of the patient under all aseptic precautions to estimate S.uric acid levels.Results: The observation of present study shows that the level of serum uric acid is significantly higher in the cases of pre-eclampsia. The value of S.uric acid increases with the severity of pre-eclampsia.Conclusions: It is concluded from this study that high levels of uric acid are found in the serum of pre-eclamptic cases as compared to normotensive cases of the study population. The levels of uric acid are higher in severe cases as compared to the levels in mild and moderate cases.

scholarly journals Epidemiologic studies of serum uric acid levels among micronesians

1972 ◽  
Vol 15 (4) ◽  
pp. 381-390 ◽  
Author(s):  
Dwayne Reed ◽  
Darwin Labarthe ◽  
Reuel Stallones
Keyword(s):  
Uric Acid ◽  
Serum Uric Acid ◽  
Epidemiologic Studies

scholarly journals Serum uric acid and risk of incident chronic kidney disease: a national cohort study and updated meta-analysis

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Nianwei Wu ◽  
Jing Xia ◽  
Sen Chen ◽  
Chuan Yu ◽  
Ying Xu ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Uric Acid ◽  
Kidney Disease ◽  
Cohort Studies ◽  
Serum Uric Acid ◽  
Meta Analysis ◽  
Positive Association ◽  
Effect Estimate ◽  
Logistic Regression Models ◽  
Increased Risk

Abstract Background We prospectively examined the association between serum uric acid (SUA) levels and chronic kidney disease (CKD) in China and updated the evidence through a comprehensive meta-analysis of prospective studies worldwide. Methods Our original analyses were based on data from the China Health and Retirement Longitudinal Study. The primary exposure of interest was SUA at baseline, and the main outcome was incident CKD. Logistic regression models were used to examine the association between SUA levels and incident CKD. A meta-analysis was performed to pool our effect estimate and those from other cohort studies. Results During a 4-year follow-up, 180 participants developed incident CKD. Participants in the highest SUA quartile were 2.73 times as likely to develop incident CKD compared to those in the lowest quartile (multivariable-adjusted OR, 2.73; 95% CI, 1.65–4.50). Each 1 mg/dL increment in the SUA levels was associated with a 49% increased risk of incident CKD (multivariable-adjusted OR, 1.49; 95% CI, 1.28–1.74). In the meta-analysis of 30 cohort studies (including the current study), pooled relative risks (95% CIs) of incident CKD were 1.15 (1.10–1.21) for SUA each 1 mg/dL increment, 1.22 (1.14–1.30) for the highest versus lowest SUA group, and 1.17 (1.12–1.23) for hyperuricemia versus no hyperuricemia. Conclusions Baseline SUA levels were associated with higher risk of incident CKD in middle-aged and elderly Chinese adults, and this positive association was confirmed in the meta-analysis of multiple cohort studies. Our findings may imply that SUA levels need to be routinely monitored for future CKD risk.

scholarly journals The Effect of Body Adiposity and Alcohol Consumption on Serum Uric Acid: A Quantile Regression Analysis Based on the China National Health Survey

2022 ◽  
Vol 8 ◽  
Author(s):  
Huijing He ◽  
Li Pan ◽  
Xiaolan Ren ◽  
Dingming Wang ◽  
Jianwei Du ◽  
...  
Keyword(s):  
Uric Acid ◽  
Alcohol Consumption ◽  
Quantile Regression ◽  
Serum Uric Acid ◽  
National Health ◽  
Health Survey ◽  
Alcohol Intake ◽  
National Health Survey ◽  
Self Report ◽  
Body Adiposity

Adiposity and alcohol consumption are reported to be associated with a higher level of serum uric acid (SUA), but whether their effect differs on SUA percentile distribution is still unclear. In this study, we aimed to investigate how alcohol intake and body fat percentage (%BF) integrated with body mass index (BMI) influence the distribution of SUA in Chinese adults. Data from the China National Health Survey (CNHS) which included adults from 10 provinces of China were used (n = 31,746, aged 20–80 years, 40% male). %BF and BMI were integrated into eight expanded body composition groups to understand how excess body adiposity affects the distribution of SUA in the populational level. Self-report alcohol intake information was collected by face-to-face questionnaire interview. Quantile regression (QR) was used to analyze the data. We found that adiposity and alcohol consumption were associated with SUA, especially at the upper percentile in both sexes. In obese men, the QR coefficients at the 75th and 95th percentiles were 74.0 (63.1–84.9) and 80.9 (52.5–109.3) μmol/L, respectively. The highest quartile of %BF in men had a 92.6 (79.3–105.9) μmol/L higher SUA levels at its 95th percentile than the 5th quartile (p &lt; 0.001). Compared with normal or underweight with the lowest %BF group (NWBF1), the obesity-highest %BF group (OBBF4) had the strongest positive effect on SUA, especially at the higher percentile of SUA. In BMI-defined normal or underweight participants, a higher quartile of %BF had greater effect size in all SUA percentiles. In men, current alcohol drinking had the strongest effect at the 95th percentile of SUA (QR coefficient: 31.8, with 95% CI: 22.6–41.0) comparing with 14.5, 95% CI of 8.4 to 20.6 in the 5th SUA percentile. High risk of alcohol consumption had a greater effect on SUA, especially in the higher SUA percentile. The observation of stronger association at the higher percentile of SUA suggests that decreasing body adiposity and alcohol intake at the populational level may shift the upper tails of the SUA distributions to lower values, thereby reducing the incidence of hyperuricemia.

scholarly journals Evaluation of obesity and its risk factors among rural adults in Tamil Nadu, India

2018 ◽  
Vol 5 (8) ◽  
pp. 3611
Author(s):  
Karthik R. C. ◽  
Gopalakrishnan S.
Keyword(s):  
Risk Factors ◽  
Tamil Nadu ◽  
Communicable Disease ◽  
Age Distribution ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
Cross Sectional ◽  
Lifestyle Risk Factors ◽  
Study Population ◽  
Lifestyle Risk

Background: Obesity is a largely emerging multi-factorial non-communicable disease, which is caused due to accumulation of fat cells either by an increase in the size or number. World over, obesity has been proven to be the leading cause for several non-communicable diseases like diabetes, hypertension, cancer, etc. This study was done to evaluate the prevalence and risk factors of obesity in a rural population of Tamil Nadu.Methods: This cross sectional study was carried out among 600 adults residing in Sripuram, a rural field practice area of our medical college. Data was collected by systematic random sampling method, using a structured questionnaire, to assess the socio-demographic characteristics, anthropometry and physical examination findings. Body Mass Index was calculated and classified as per WHO classification for Asians. SPSS Software Version 17 was used to analyze the data.Results: Among the 600 total study subjects, 317 subjects (52.8%) were males and 283 subjects (47.2%) were females. The age distribution among the study population ranged between 20-60 years. Prevalence of overweight (BMI>23) was 25.3% and prevalence of obesity (BMI>25) was 25.5%. About 11.5% of the study subjects were underweight (BMI>18.5) and 37.7% of the study population had normal weight. Sibling obesity and presence of thyroid disorders were significantly associated with the risk of overweight and obesity.Conclusions: This study highlights the need for periodic screening to detect obesity at its incipient stages. It is pertinent that awareness is created periodically to modify the diet and lifestyle risk factors in order to prevent further complications of obesity.

scholarly journals Proteomic Signatures of Lifestyle Risk Factors for Cardiovascular Disease: A Cross‐Sectional Analysis of the Plasma Proteome in the Framingham Heart Study

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Laura Corlin ◽  
Chunyu Liu ◽  
Honghuang Lin ◽  
Dominick Leone ◽  
Qiong Yang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Cardiovascular Disease ◽  
Alcohol Consumption ◽  
Validation Sample ◽  
Cross Sectional ◽  
Lifestyle Risk Factors ◽  
Discovery Sample ◽  
Heart Study ◽  
Lifestyle Risk

Background Proteomic biomarkers related to cardiovascular disease risk factors may offer insights into the pathogenesis of cardiovascular disease. We investigated whether modifiable lifestyle risk factors for cardiovascular disease are associated with distinctive proteomic signatures. Methods and Results We analyzed 1305 circulating plasma proteomic biomarkers (assayed using the SomaLogic platform) in 897 FHS (Framingham Heart Study) Generation 3 participants (mean age 46±8 years; 56% women; discovery sample) and 1121 FOS (Framingham Offspring Study) participants (mean age 52 years; 54% women; validation sample). Participants were free of hypertension, diabetes mellitus, and clinical cardiovascular disease. We used linear mixed effects models (adjusting for age, sex, body mass index, and family structure) to relate levels of each inverse‐log transformed protein to 3 lifestyle factors (ie, smoking, alcohol consumption, and physical activity). A Bonferroni‐adjusted P value indicated statistical significance (based on number of proteins and traits tested, P <4.2×10 −6 in the discovery sample; P <6.85×10 −4 in the validation sample). We observed statistically significant associations of 60 proteins with smoking (37/40 top proteins validated in FOS), 30 proteins with alcohol consumption (23/30 proteins validated), and 5 proteins with physical activity (2/3 proteins associated with the physical activity index validated). We assessed the associations of protein concentrations with previously identified genetic variants (protein quantitative trait loci) linked to lifestyle‐related disease traits in the genome‐wide‐association study catalogue. The protein quantitative trait loci were associated with coronary artery disease, inflammation, and age‐related mortality. Conclusions Our cross‐sectional study from a community‐based sample elucidated distinctive sets of proteins associated with 3 key lifestyle factors.

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