The serum uric acid level in females may be a better indicator of metabolic syndrome and its components than in males in a Japanese population

Tani, Shigemasa; Matsuo, Rei; Imatake, Kazuhiro; Suzuki, Yasuyuki; Takahashi, Atsuhiko; Yagi, T.; Matsumoto, Naoya; Okumura, Yasuo

doi:10.1016/j.jjcc.2020.01.011

Cited by 26 publications

(21 citation statements)

References 33 publications

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“… 18 Uric acid in saliva may also be a marker for predicting fat accumulation in young obese patients. 19 Moreover, as indicated by our research, the risk of obesity with HUA was higher in males, basically consistent with a recent study in Japan, 20 which also supported higher SUA in obese males, while SUA in females showed a closer relationship with metabolic syndrome and cardiovascular risk.…”

Section: Discussionsupporting

confidence: 92%

Serum Uric Acid Levels and Metabolic Indices in an Obese Population: A Cross-Sectional Study

Fen¹,

Chen²,

Qiu³

et al. 2021

DMSO

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Objective To analyze the association between serum uric acid (SUA) and metabolic state in obese inpatients and preliminarily explore potential mechanisms of hyperuricemia in obesity. Methods A total of 153 obese inpatients were selected and assigned based on SUA level to the normal uric acid (NC group) or high uric acid (HUA) group. Patients’ sex, age, height, weight, blood pressure, BMI, and prevalence of metabolic syndrome were collected and recorded. SUA, FPG, FIns, HOMA-IR, HOMA-IS, HbA 1c , TGs, TC, LDL-C, and HDL-C levels were tested. Pearson correlation analysis was performed to analyze the correlation between SUA and related metabolic indicators. Logistic regression was performed to analyze independent risk factors of hyperuricemia in obesity. Results In the HUA group, the patients were predominantly males, and BMI, DBP, TGs, FPG, FIns, HOMA-IR, HOMA-IS, and metabolic syndrome were higher than those in the NC group ( P <0.05), while HDL-C was lower than that in the NC group ( P <0.05). There were no significant differences between the groups in TC or LDL-C. Pearson correlation analysis showed that in obese patients, SUA was positively correlated with BMI, FIns, HOMA-IR, HOMA-IS, TGs, andmetabolic syndrome and negatively correlated with age and HDL-C. Logistic regression showed that BMI, hyperinsulinemia, and insulin resistance were independent risk factors of hyperuricemia. Conclusion Development of hyperuricemia in obese populations might be correlated with hyperinsulinemia or insulin resistance.

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Section: Discussionsupporting

confidence: 92%

Serum Uric Acid Levels and Metabolic Indices in an Obese Population: A Cross-Sectional Study

Fen¹,

Chen²,

Qiu³

et al. 2021

DMSO

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“…Our results further found an association between SUA levels and abdominal obesity in females. The nding, which was more relevant to women, was similar to a Japanese study 38 . As we know, abdominal obesity is characterized by accumulation of visceral fat.…”

Section: Discussionsupporting

confidence: 84%

Gender Difference in the Association Between Serum Uric Acid Level and Metabolic Syndrome and Components: A Cross-Sectional Analysis Among Chinese Young Adults

Fang

Chen

Zhu

et al. 2021

Preprint

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Background This study aimed to investigate the associations between serum uric acid (SUA) levels and metabolic syndrome (MetS) and MetS components in Chinese young adults. Methods A cross-sectional survey was conducted among 3044 young adults (1266 men and 1778 women). The anthropometric index, lipid profile, fasting blood glucose and SUA levels were measured. Male and female participants were grouped according to the quartiles of SUA level separately. Multiple logistic regression analyses were performed to evaluate the association of SUA quartiles with MetS and its components. Results The overall prevalence of hyperuricemia and MetS was 29.7% and 2%, respectively. Multiple logistic regression analysis revealed that compared with the lowest 2 quartiles of SUA together, the highest quartile showed an association with the prevalence of MetS and high triglyceride in males, and OR (95% CI) were 3.438(1.090-10.841) and 4.364(2.133–8.930) respectively after adjustments confounding factors. In terms of abdominal obesity, compared with the lowest 2 quartiles of SUA together, the OR (95% CI) was 1.976(1.128–3.459) for those in the third quartile and 1.766(1.020–3.057) for those in the highest quartile after adjustments confounding factors in females. Conclusions This study suggested a significant positive relationship between SUA and MetS and its components among young adults. Hence, routine measurement of SUA is recommended to prevent hyperuricemia and its related complications.

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“…Its high incidence is mainly distributed in middle-aged and elderly men and postmenopausal women. It is closely related to many other metabolic syndromes, such as diabetes, hypertension, obesity, and other chronic diseases [ 21 – 23 ]. Obesity is also an important risk factor for hyperuricemia, gout, and insulin resistance, which is harmful to the development of hypertension, coronary heart disease, and diabetes mellitus [ 24 ].…”

Section: Discussionmentioning

confidence: 99%

Effect of a Traditional Chinese Medicine Formula (CoTOL) on Serum Uric Acid and Intestinal Flora in Obese Hyperuricemic Mice Inoculated with Intestinal Bacteria

Gao

Sun

Zhang

et al. 2020

Evidence-Based Complementary and Alternative Medicine

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CoTOL is a traditional Chinese medicine (TCM) formula in clinics for treating gout and hyperuricemia, especially in obese patients with recurrent attacks. However, fewer studies have investigated how CoTOL impacts the intestinal flora in reducing uric acid. In the present, we analyze the bacteria targeted by ingredients of CoTOL and evaluate the effects of CoTOL on uric acid and intestinal flora in a mice model of obese hyperuricemia inoculated with xanthine dehydrogenase- (XOD-) producing bacteria, Streptococcus faecalis. Firstly, ingredients of herbs in CoTOL and gene target by these ingredients were retrieved from TCMID 2.0, and these genes were screened by DAVID Bioinformatics Resources 6.8, deciphered to retrieve the bacteria. Then, 3-4-week-old male C57bl/6j mice were randomly divided into 6 groups and fed with high fat diet for 8 weeks up to obesity standard. The mice were inoculated intragastrically with 5 × 109 CFU Streptococcus faecalis 3 times at the 5th, 6th, and 7th week and intragastrically administrated with uricase inhibitor, potassium-oxonate (PO, 250 mg/kg), to induce hyperuricemia at the 8th week, once a day for 7 consecutive days, respectively (IB model). IB model plus CoTOL (0.4 ml/20g) and allopurinol (40 mg/kg) were administrated by gavage at the 5th week, once a day for 4 weeks. The feces and blood in each group were sampled at the 4th and 8th week. With no bacteria inoculation, CoTOL, allopurinol, and blank group were treated with CoTOL and allopurinol or water, respectively. 44 species of bacteria (i.e., Enterococcus faecalis, Streptococcus, etc.) genes were targeted by 6 ingredients of 6 herbs in CoTOL. Inoculation with Streptococcus faecalis significantly caused the elevation of uric acid and the change of intestinal flora structure, whereas treatment with CoTOL signiﬁcantly increased the abundance of Akkermansia and those of Bacteroides and Alloprevotella decreased. Furthermore, CoTOL exhibited a unique effect on reducing weight unobserved in allopurinol intervention. The present study, for the first time, demonstrated that CoTOL has beneficial effects on hyperuricemia and overweight, which may be attributed to regulating material metabolism and improving the structure or function of intestinal flora. Thus, CoTOL may be a promising therapy for hyperuricemia and overweight in chronic gout management and can be integrated with conventional treatments.

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The serum uric acid level in females may be a better indicator of metabolic syndrome and its components than in males in a Japanese population

Cited by 26 publications

References 33 publications

Serum Uric Acid Levels and Metabolic Indices in an Obese Population: A Cross-Sectional Study

Serum Uric Acid Levels and Metabolic Indices in an Obese Population: A Cross-Sectional Study

Gender Difference in the Association Between Serum Uric Acid Level and Metabolic Syndrome and Components: A Cross-Sectional Analysis Among Chinese Young Adults

Effect of a Traditional Chinese Medicine Formula (CoTOL) on Serum Uric Acid and Intestinal Flora in Obese Hyperuricemic Mice Inoculated with Intestinal Bacteria

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