Objective To screen potential serum HCC associated proteins with low molecular weight and low abundance for better understanding the pathological mechanism of HCC and discovering new biomarkers.Methods All serum samples were collected from 81 HBV-related HCC patients,43 chronic hepatitis B patients and 36 cirrhosis patients.Serum protein fingerprint profiles were first generated by selected WCX2 protein chip integrating with SELDI-TOF-MS,and then normalized and aligned by Ciphergen SELDI Software 3.1.1 with Biomarker Wizard.Comparative analysis of the intensity of corresponding protein fingerprint peaks in normalized protein spectra was performed.Some protein peaks with significant difference among HCC,cirrhosis and chronic hepatitis B groups were found.The reproducibility of the SELDI system was assessed before serum protein fingerprint profiles analysis.Results The intra-and inter-assay CV for intensity and m/z in this SELDI system were 17.46% and 0.024%,and 17.74% and 0.024% respectively.Total 128 protein fingerprint peaks between 2 000 to 30 000 Da were identified under the condition of signal to noise＞5 and minimum threshold for cluster＞20%.Eighty-seven proteins were found to significantly expressed between HCC and cirrhosis groups(P＜0.05).Of the above differential proteins,forty-five proteins had changes greater than two fold,including 15 up-regulated proteins and 30 downregulated proteins in HCC sera.Between HCC and chronic hepatitis B groups,nine of fifty-two differential proteins(P＜0.05) had intensities of more than two folds,including 2 up-regulated proteins and 7 downregulated proteins in HCC sera.Between cirrhosis and chronic hepatitis B groups,twenty-eight of seventynine significantly differential proteins(P＜0.05) changed greater than two folds in intensity,including 17 up-regulated proteins in cirrhosis seru and 11 down-regulated proteins in chronic hepatitis B sera.Analysis of above leading differential proteins among three diseases using subtraction difference mode,the 5 common down-regulated proteins 2 870,3 941,2 688,3 165 and 5 483 m/z in HCC sera and 2 common up-regulated proteins 3 588 and 2 017 m/z in cirrhosis and HCC sera were screened.But no statistic difference in the level of protein 2 017m/z was found between HCC group and normal group inour previous study.Conclusion Because the interference of unspecific proteins from hepatitis B and cirrhosis could be eliminated partly in HCC sera through subtraction difference analysis,these 6 common differential proteins (2 870,3 941,2 688,3 165,5 483,3 588 m/z)have obvious advantages of increased specificity for evaluating the pathological state of HCC and might become promising candidate biomarkers in the diagnosis of HCC.

Objective To discuss the risk factors for susceptibility of subcutaneous tophi with an aim to provide clinical evidence for the prevention and treatment of tophi.Methods A total of 5 321 cases of gout patients whose course of disease was less than 10 years were selected and divided into two groups according to whether a subcutaneous tophus was present. The clinical information was collected and relevant biochemical indices were detected.Results There were significant differences in the ratios of regular exercise, involvement of upper limb joints, combining renal insufficiency, kidney stone and coronary heart disease between the tophus group and the non-tophus group(P<0.05 or P<0.01). There were significant statistical differences in age, disease duration, body mass index, systolic blood pressure, diastolic blood pressure, serum uric acid, serum creatinine, creatinine clearance rate, the number of joints involved between the two groups[(51.80±14.58 vs 48.45±14.45)year,(5.61±3.20 vs 3.28±3.06)year,(26.50±3.39 vs 27.05±3.45)kg/m2,(138±20 vs 133±18)mmHg, 1 mmHg=0.133 kPa,(89±13 vs 87±12)mmHg,(486.66±121.96 vs 460.02±119.10) μmol/L,(112.11±62.97 vs 104.43±46.28) μmol/L, (86.46±37.99 vs 93.00±40.11 )ml/min,(2.89±1.86 vs 1.76±1.22) joints, all P<0.01]. There were no statistical differences in family history, gender, history of smoking and drinking, the means of waistline, fasting blood glucose, triglyceride, and total cholesterol between the two groups(all P>0.05). Further logistic regression analysis indicated that disease duration, a large number of joints involved, the involvement of upper limb joints, combining kidney stones, higher serum uric acid level, and higher diastolic pressure were risk factors of the early onset of subcutaneous tophi, while regular exercise and body mass index were protective factors.Conclusion Patients with long duration, high serum level of uric acid, a large number of joints involved, upper limb joint involved, kidney stones, and hypertension were more likely to develop subcutaneous tophi. These risk factors should be intervened actively in clinic.

Objective Obesity is one of the risk factors for gout.The aim of the present study was to evaluate clinical characteristics of gout patients with different BMI.Methods A total of 5 104 patients with gout were enrolled and divided into three groups according to the BMI.The clinical information was collected and relevant biochemical indices were detected.SPSS software was applied for the statistical analyses.Results There were significant differences in the ratios of gender,regular exercise,hypertension,tophus,renal insufficiency,hyperlipidemia,impaired glucose metabolism,liver dysfunction among the three groups (all P＜0.01).The onset age in overweight [45(36,55) years] and obese subjects [40(31,50)years] were earlier than that of the normal weight subjects [50 (38,61) years].Moreover,waist circumstances [103(99,108) cm and 94 (90,98) cm vs 87 (82,91) cm],systolic pressure [130 (120,145) mmHg (1 mmHg =0.133 kPa) and 130 (120,140) mmHg vs 128 (115,140) mmHg],diastolic pressure [90 (80,100) mmHg and 85 (80,92) mmHg vs 80 (79,90) mmHg],fasting blood glucose [5.77 (5.30,6.44) mmol/L and 5.65 (5.19,6.26) mmol/L vs 5.55 (5.10,6.15) mmol/L],TG [2.10 (1.46,3.04) mmol/L and1.88 (1.35,2.78) mmol/L vs 1.52 (1.07,2.39) mmol/L],TC [5.20 (4.55,5.93) mmol/L and 5.07 (4.46,5.75) mmol/L vs 4.95 (4.27,5.65) mmol/L],serum uric acid [483(418,552) μmol/L and461(395,524) μmol/L vs440 (368,517) μmol/L],ALT [30 (21,46) U/L and25 (18,36) U/L vs 21 (14,29) U/L],AST [21(17,28) U/L and 20 (17,26) U/L vs 20 (6,25) U/L],the number of joints involved [2 (1,3) joints and 2 (1,2) joints vs 1 (1,2) joints] in the overweight and obese groups were higher than those in the normal weight group (all P ＜ 0.01).There were no statistical differences in family history,involvement of upper limb joints,kidney stones and coronary heart disease among the three groups (all P ＞ 0.05).Conclusions Obesity is associated with an earlier age of gout onset.With the increase of BMI,the blood pressures,glucose,lipid,serum uric acid,liver transaminase levels and the number of involved joints increased gradually.Cautions should be taken in treating patients with different BMI.

Objective:To analyze the clinical characteristics and risk factors associated with the formation of subcutaneous tophi among young gout patients.Methods:Gout patients treated at the Affiliated Hospital of Qingdao University from September 2016 to June 2020 were included. The clinical information was collected and relevant biochemical indices were detected. Fasting urine was collected to test urine pH value, urine uric acid and urine creatinine. Patients were divided into young tophi group and non-tophi group according to age. The measurement data of normal distribution was expressed as Mean±Standard deviation, and independent sample t test and one-way analysis of variance were used. The counting data was tested by Chi-square test. The risk factors were analyzed by logistic regression. Results:A total of 4 798 primary gout patients were collected. There were 915 patients with subcutaneous tophi, 2 308 young gout patients, 252 young gouty tophi patients among them. The average BMI, waist circumference, hip circumference, triglyceride level, serum uric acid level, glomerular filtration rate, alanineamino -transferase (ALT) and aspartate amino -transferase (AST) in the young tophi group were significantly higher than those in the middle-age tophi group ( F=46.074, 2.551, 9.203, 10.370, 15.118, 68.741, 35.023, 5.175, all P<0.05). Average age of disease onset, systolic blood pressure, fasting blood glucose, urine FEUA, Uua/Ucr and urea nitrogen level in young tophi group were significantly lower than those in middle-age tophi group ( F=474.876, 7.629, 6.441, 34.877, 3.633, 50.867, all P<0.05]. The age [(35±7) years old vs (33±7) years old], disease course [(7±4) years vs (4±3) years], blood pressure [(139±17) mmHg vs (135±16) mmHg], [(90±13) mmHg vs (86±12) mmHg], serum triglyceride [(2.6±2.1) mmol/L vs (2.4±2.0) mmol/L], total cholesterol [(4.9±1.4) mmol/L vs (4.6±1.4) mmol/L], serum uric acid [(547±171) μmol/L vs (490±160) μmol/L], urea nitrogen [(5.0±2.0) mmol/L vs (4.4±1.7) mmol/L], family history (27.0% vs 19.6%) and smoking rate(56.0% vs 48.9%) of tophi patients were significantly higher than those of non-tophi patients in young patients ( t=4.717, P<0.05; t=12.838, P<0.05; t=3.414, P<0.05; t=4.676, P<0.05; t=2.085, P<0.05; t=2.451, P<0.05; t=5.308, P<0.05; t=4.090, P<0.05; χ2=7.423, P<0.05; χ2=4.235, P<0.05) . The age of disease onset [(28±6) years vs (29±7) years] and glomerular filtration rate [(96±21) ml·min -1·1.73 m -2vs (103±21) ml·min -1·1.73 m -2] were statistically significantly lower than those of non-tophi patients ( t=-2.711, P<0.01; t=-4.907, P<0.01). Logistics regression analysis showed that age, course of disease, blood pressure, blood lipids level, serum uric acid level, family history of gout and smoking were risk factors for the formation of tophi in young people. After further adjusted for age, course of disease and family history of gout, it was found that serum uric acid, systolic blood pressure, diastolic blood pressure and urea nitrogen remined risk factors for tophi, while glomerular filtration rate remained a protective factor in young patients. Conclusion:Young tophi patients are always obese and have lipid metabolism disorder. Young patients with high level of serum uric acid and blood pressure, decreased renal function are prone to complicate with subcutaneous tophi. More attention should be paid in clinical practice to prevent or delay the formation of tophi.

Objective:To analyze the clinical characteristics and risk factors of impaired liver and renal function in hospitalized patients with gout.Methods:A total of 494 hospitalized patients with confirmed gout were selected and divided into four groups according to liver and renal function, control(Con), impaired liver function (ILF), impaired renal function (IRF), and both function impaired (ILRF) group. Multivariate logistic regression was used to analyze the risk factors related with impaired liver and renal function.Results:Compared to Con group, ILF group were younger with shorter gout duration, higher body mass index, waist circumference, homeostasis model assessment for insulin resistance (HOMA-IR), serum uric acid, low density lipoprotein-cholesterol (LDL-C), total cholesterol, triglycerides, C reactive protein, higher prevalence of dyslipidemia, obesity, fatty liver, and monosodium urate crystal (MSU) deposition (all P<0.05). IRF group were older and with higher serum uric acid, serum creatinine, C reactive protein, and hypertension, MSU deposition prevalence, with lower prevalence of fatty liver (all P<0.05). Compared to ILF group, IRF group were older, with longer gout duration, lower level of body mass index, waist circumference, HOMA-IR, LDL-C, total cholesterol, triglycerides, lower prevalence of obesity, fatty liver, and higher prevalence of hypertension and type 2 diabetes (all P<0.05). The univariate logistic regression analysis showed that age( OR=0.941, 95% CI 0.906-0.977, P<0.001), serum uric acid ( OR=1.002, 95% CI 1.000-1.005, P=0.043), HOMA-IR ( OR=1.147, 95% CI 1.024-1.285, P=0.018), and MSU deposition ( OR=1.959, 95% CI 1.154-3.326, P=0.013) were the independent risk factors of impaired liver function, while the independent risk factors of impaired renal function were age ( OR=1.104, 95% CI 1.048-1.162, P<0.001), serum uric acid ( OR=1.007, 95% CI 1.004-1.010, P<0.001), and MSU deposition ( OR=2.393, 95% CI 1.191-4.805, P=0.014). Conclusions:Serum uric acid and MSU deposition are the common independent risk factors for impaired liver and renal function in patients with gout. Younger patients with insulin resistance are susceptible to impaired liver function, older patients with hypertension and diabetes are susceptible to impaired renal function.

Objective:To explore the risk factors for hypogonadism in male patients with hyperuricemia(HUA).Methods:A total of 245 male patients with HUA were enrolled. Height, weight, waist circumference (WC), blood pressure, serum uric acid(SUA), triglyceride (TG), total cholesterol, low density lipoprotein-cholesterol, high density lipoprotein-cholesterol, alanine aminotransferase(ALT), aspartate aminotransferase, glutamyltranspeptidase, blood urea nitrogen, serum creatinine, fasting blood glucose (FPG), fasting insulin (FINS)and sex hormones were measured in all patients. And then body mass index (BMI), free testosterone(FT), and homeostasis model assessment of insulin resistance index (HOMA-IR)were calculated. Male androgen deficiency questionnaire (ADAM)and male aging symptom questionnaire (AMS)were conducted. The patients were divided into hypogonadism group ( n=102)and normal gonadal function group ( n=143) according to FT level as well as ADAM and AMS questionnaires. The differences in different metabolic indicators between the two groups and the correlation with hypogonadism were analyzed. Results:Compared with the normal gonadal function group, WC, SUA, BMI, FPG, FINS, HOMA-IR, TG, and ALT were significantly increased, while estradiol level was significantly reduced in the hypogonadism group (all P<0.05). The proportions of nonalcoholic fatty liver, hyperlipidemia, and obesity were significantly increased in the hypogonadism group (all P<0.05). Logistic regression analysis showed that SUA, BMI, WC, HOMA-IR, and TG were independent risk factors for hypogonadism in male HUA patients. Multivariate regression analysis showed that SUA still was a risk factor after adjusting for other factors. Conclusion:Male patients with HUA were often accompanied by hypogonadism. SUA, BMI, WC, HOMA-IR, and TG were risk factors for hypogonadism in male patients with HUA.

Objective:To investigate the therapeutic effect and influencing factors of alkalized urine in patients with gout, thus providing the basis for the clinical treatmeat.Methods:A total of 90 cases of gout patients in remission without alkalization of urine and lowering uric acid treatment were selected from January 2019 to June 2019. All patients were given a low purine diet (purine intake<200 mg/d). 90 patients were randomly divided into different drugs of alkalized urine groups according to rardom number table: sodium bicarbonate group, taking potassium sodium hydrogen citrate 1.0 g tid; the citrate granule group, taking potassium sodium hydrogen citrate 2.5 g tid; and control group, taking low purine diet only. On the 5th day of treatment, fasting urine in the morning was retained, breakfast was prescribed, and alkalized urine drugs were taken after the meal. Their urine pH was determined at 1 h, 2 h, 3 h, and 4 h after the medicine taken, and copmare the changes of urine pH in different groups. Taking urine pH 6.2 as cut-off point, patients receiving alkalized urine drugs were divided into the standard group (urine pH≥6.2) and the non-standard group (urine pH<6.2) according to their mean urine pH at 2 h, 3 h, and 4 h after taking medicine. Finally, the influencing factors of urine pH were compared between the groups.Results:There were no significant differences in fasting urine pH between the sodium bicarbonate group and the control group, but the urine pH of 2 h and 3 h after sodium bicarbonate taken were significantly higher than the control group ( P<0.05). The urine pH of the citrate granule group was higher than the control group and the sodium bicarbonate group on fasting and at any time after taking drugs ( P<0.05 or P<0.01). The peak pH value of urine in the sodium bicarbonate and citrate granule groups was 4 h after taking drugs, followed by 2 h and 3 h. There were statistically significant differences in body mass index, waist circumference, and blood pressure between the standard and non-standard groups ( P<0.05 or P<0.01). Conclusion:Fasting urine pH alone can not be used as an index for the efficacy of alkalized urine, it is recommended to refer to the pH value of 2-4 h after taking drugs. The efficacy of potassium sodium hydrogen citrate was better than that of sodium bicarbonate. Obesity or overweight seems to be an adverse factor affecting the alkalized urine.

Objective:To investigate the clinical characteristics and risk factors of multiple tophi among gout patients.Methods:Gout patients treated at Affiliated Hospital of Qingdao University from September 2017 to September 2021 were included retrospectively. According to the number of tophi, the patients were divided into the multiple tophi group, the single tophi group and the non-tophi group. Clinical data were collected, biochemical indices and urine pH value were determined. One- way ANOVA or Chi-square test was used to compare groups, and multivariate logistic regression was used to analyze the risk factors. Results:The age, disease course, blood pressure, serum uric acid, urea nitrogen, and the rate of family history, smoking, drinking, gout attacks≥2 twice per year, hypertension, cardio-cerebrovascular diseases, kidney stones in the multiple tophi group were significantly higher than those in the single tophi group and the non-tophi group. The glomerular filtration rate, urine pH value and the rate of regular exercise were significantly lower than those of single tophi group and non-tophi group. In the multiple tophi group, 245 cases(44.46%) were involved in the interphalangeal joint or metacarpophalangeal joint, 212 cases(38.47%) were involved in other joints of the upper limb, which was second only to the first metatarsophalangeal joint(349 cases, 63.33%). Logistic regression analysis showed that the course of disease, urea nitrogen, serum uric acid, positive family history, drinking, gout attacks ≥twice per year and hypertension were the risk factors for multiple tophi in gout patients. Conclusion:Patients with a long disease course, elevated uric acid, high urea nitrogen, positive family history, alcohol consumption, frequent gout flare and hypertension are more likely to develop multiple tophi.

Objective:To investigate urinary pH distribution and its influencing factors in gout patients, to provide insights for individualized treatment.Methods:This is a retrospective study. The gout patients in the Gout Outpatient Department of the Affiliated Hospital of Qingdao University from September 2019 to August 2021 were collected. Clinical data were collected and relevant indicators were measured. The patients were divided into different groups according to urinary pH. Clinical characteristics and factors related to urinary pH were compared among the groups. SPSS 23.0 software was used.Results:A total of 2 553 patients were enrolled. There were significant statistical differences in age, body mass index, triglyceride, alanine aminotransferase(ALT), blood urea nitrogen, serum creatinine, estimated glomerular filtration rate(eGFR), blood uric acid, urinary uric acid/creatinine ratio, fraction excretion of uric acid(FEUA) among groups with different urinary pH( F were 5.114, 4.772, 7.170, 4.721, 13.603, 2.812, 3.422, 22.834, 18.230, 26.332, all P<0.05). Urinary uric acid and FEUA in acute group were higher than those in remission group( Z were -2.295, -3.528, both P<0.05). After adjusting for gender, age, eGFR, logistics regression analysis showed that body mass index, triglyceride, total cholesterol, ALT, blood uric acid, and blood urea nitrogen were still risk factors. Multivariate logistic regression analysis showed that triglyceride, blood uric acid, and blood urea nitrogen were independent risk factors associated with acid urine. Linear correlation analysis showed that urinary pH was negatively correlated with body mass index, triglyceride, total cholesterol, blood uric acid, fasting glucose, blood urea nitrogen, ALT( r were -0.079, -0.106, -0.051, -0.186, -0.040, -0.122, -0.051, all P<0.05), but positively correlated with eGFR( r=0.058, P=0.003). Conclusion:The overall urine pH levels in patients with primary gout are below normal reference. Several metabolic components are related to it. Triglyceride, blood uric acid, and blood urea nitrogen are independent risk factors of acidic urine. In clinical practice, attention should be paid to timely alkalization of urine to prevent complications.

Objective:To investigate the effect of art behavior intervention of yoga training on patients with insomnia comorbid depressive disorder.Methods:Totally 66 patients with insomnia comorbid depressive disorder were randomly divided into the study group( n=36) and the control group( n=30). All patients in two groups were given pharmacotherapy, while the patients in the study group were received art behavior intervention of yoga training for 20 times.Using self-made general information questionnaire to collect the patients' demographic and clinical characteristics.Polysomnography(PSG) was performed to measure objective sleep parameters.The Pittsburgh sleep quality index(PSQI), Hamilton depression scale(HAMD) and Hamilton anxiety scale(HAMA) were used to measure subjective sleep quality, depressive symptoms and anxiety symptoms at baseline and at the end of the interventions. Results:The score differences of pre-and post-intervention in the two group of PSQI total score((11.00±2.72) vs(9.00±2.22)), habitual sleep efficiency((2.02±0.81) vs (1.53±0.77)), daytime dysfunction((1.75±0.90) vs(0.96±0.85)), HAMD total score((12.19±6.25) vs(8.03±5.67)) and HAMA total score(13.00(8.25, 16.75) vs 7.00(5.00, 9.25))in the study group were obviously higher than those in the control group( t=3.220, 2.516, 3.595, 2.806, Z=-3.616, all P<0.05). Conclusion:Art behavior intervention of yoga training can improve sleep quality, depression and anxiety symptoms in patients with insomnia comorbid depressive disorder, which will be applied and popularized in clinical practice.