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1.
Journal of Sun Yat-sen University(Medical Sciences) ; (6): 893-900, 2023.
Artigo em Chinês | WPRIM | ID: wpr-988739

RESUMO

ObjectiveTo explore the risk factors of hypogonadism in male hyperuricemia (HUA) patients in Xinjiang. MethodsClinical data of 217 male patients with HUA admitted to the Department of Endocrinology and Metabolism of the People's Hospital of Xinjiang Uygur Autonomous Region from June 2021 to December 2022 were collected. Patients meeting the diagnostic criteria for hypogonadism were included in the case group (98 cases), and patients with normal gonadism were included in the control group (119 cases). The differences of different metabolic indexes between the two groups and the correlation of male hypogonadism were analyzed. ResultsCompared with those in normal gonadal function group, in hypogonadism group, age, waist circumference (WC), body mass index (BMI), the levels of fasting blood glucose (FPG), fasting insulin (FINS), insulin resistance index assessed by homeostasis model (HOMA-IR), alanine aminotransferase (ALT), blood uric acid (SUA) and sex hormone binding globulin (SHBG) were significantly increased; the levels of γ-glutamyltransferase (GGT), 25-hydroxyvitamin D [25(OH)D], progesterone (P), estradiol (E2), dehydroepiandrosterone (DHEA) and serum free triiodothyronine (FT3) were significantly decreased (P < 0.05); and the proportion of patients with obesity (OB), non-alcoholic fatty liver (NAFLD), hyperlipidemia (HLP), hypertension (HBP), coronary heart disease (CHD) and use of angiotensin receptor antagonist (ARB) and aspirin was significantly increased (P < 0.05). Correlation analyses showed that free testosterone (FT) was negatively correlated with age, WC, BMI, FPG, FINS, HOMA-IR, SUA, SHBG and ALT, but positively correlated with 25(OH)D, P, E2, DHEA and FT3 (P < 0.05). Logistic regression analysis showed that age, hypertension, BMI, SUA, ALT, 25(OH)D, HOMA-IR and WC were independent risk factors for hypogonadism (P < 0.05). After multivariate adjustment, SUA remained an independent risk factor for hypogonadism [OR = 1.009, 95%CI (1.004, 1.015), P = 0.001]. ConclusionsMale HUA patients are often accompanied with hypogonadism. Age, hypertension, BMI, SUA, ALT, 25(OH)D, HOMA-IR and WC are independent risk factors of hypogonadism.

2.
Chinese Journal of Experimental Traditional Medical Formulae ; (24): 46-56, 2021.
Artigo em Chinês | WPRIM | ID: wpr-905987

RESUMO

Objective:To compare the characteristics of four commonly adopted animal models of hyperuricemia (HUA) for traditional Chinese medicine (TCM) screening, so as to choose the adequate model for screening Chinese herbs and herbal compounds capable of lowering the uric acid. Method:Fifty-four male SD rats were randomly divided into nine groups, namely the normal group, hypoxanthine (HX) + oxonic acid potassium salt (OAPS) model group, yeast extract (YE) + OAPS model group, low-dose adenine (AD) + ethambutol (EMB) model group, high-dose AD + EMB model group, and four positive drug allopurinol (Allo) groups. The modeling lasted for 14 d. The levels of serum uric acid (SUA), urinary uric acid (UUA), serum creatinine (SCr), urea nitrogen (BUN), kidney injury molecule 1 (KIM-1), and neutrophil gelatinase-associated lipocalin (NGAL) were detected on the 3rd, 7th, and 14th days. Urine was collected on the 7th and 14th days to investigate changes in urine volume, and the crystals in the residual urine were observed under a polarizing microscope. After the modeling, the kidney was harvested and weighed, followed by pathological examination. Result:The urine volumes in the HX + OAPS model group and high-dose AD + EMB model group were significantly reduced (<italic>P</italic><0.05). The renal indexes of each model group, except for the YE + OAPS model group, were significantly elevated (<italic>P</italic><0.05, <italic>P</italic><0.01). The increase in SUA of the HX + OAPS model group and YE + OAPS model group started later (<italic>P</italic><0.05). The KIM-1 and NGAL levels of the HX + OAPS model group rose significantly from the 7th day (<italic>P</italic><0.05, <italic>P</italic><0.01), and the BUN increased significantly on the 14th day (<italic>P</italic><0.05). There was no significant difference in the above-mentioned indicators in the YE + OAPS model group. The SUA levels of the low- and high-dose AD + EMB model groups increased significantly on the 3rd day (<italic>P</italic><0.05, <italic>P</italic><0.01), with a persistent increase found in the low-dose AD + EMB model group. Besides, the increase in BUN, KIM-1, and NGAL occurred later (<italic>P</italic><0.05, <italic>P</italic><0.01). By contrast, the high-dose AD + EMB model group exhibited a transient increase in SUA. Moreover, the SCr, BUN, KIM-1, and NGAL elevation occurred earlier and were more obvious than those in the low-dose AD + EMB model group (<italic>P</italic><0.01). Remarkable histomorphological abnormalities were detected in the kidney of all model groups, except for the YE+OAPS model group, with the most severe injury present in the high-dose AD+EMB model group. Conclusion:The four models commonly used to screen TCM have their own characteristics. In the four models, the SUA elevation in the HX + OAPS model group and YE + OAPS model group started later, with the mild renal injury observed in the HX + OAPS model group instead of the YE + OAPS model group. The SUA of the low-dose AD + EMB model group increased rapidly and lasted for a long time, accompanied by mild renal injury. The SUA of the high-dose AD + EMB model group only showed a transient increase, accompanied by severe renal injury. The investigation on the characteristics and application of different models and the evaluation of these models based on sensitive and objective indicators are helpful for determining the suitable model for the screening of TCM targeting HUA in the future.

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