Purpose To explore the pathological features of angioimmunoblastic T-cell lymphoma(AITL)with bone marrow involvement and to improve awareness of bone marrow infiltration in AITL.Methods The tissue morphology of 32 cases of AITL with bone marrow involvement was retrospectively analyzed.Im-munohistochemistry using the EnVision method and ten-color flow cytometry were conducted to detect AITL-related immune markers.T cell clonality was analyzed through T cell receptor(TCR)gene rearrangement.Results The predominant pat-terns of tumor cell infiltration were nodular(20/32,62.5％)and interstitial or small clusters(10/32,31.3％).The nodules showed a mixture of cellular components.In some cases,the fo-ci contained a mixture of cells with characteristic"granuloma-toid"changes.The tumor cells were mainly small to medium-sized lymphocytes with inconspicuous atypia.Some cases showed plasma cell proliferation.19 cases were subject to immunohisto-chemical staining,which revealed a low count of CD4-positive T cells,with an average of 8.4％.The positive rates of T follic-ular helper cells(TFH)markers were as follows:CD10(7/14,50.0％),BCL6(6/19,31.6％),PD-1(13/19,68.4％),and CXCL13(13/19,68.4％).In most cases,tumor cells showed co-expression of PD-1 and CXCL13,but the number of positive cells was less than 1％.Flow cytometry analysis was performed in 24 cases,among which 22 cases all consistently expressed cytoplasmic CD3(cCD3),CD5,CD4,and CD2,with varying degrees of CD10 expression.In some cases,there was a lack of expression of surface CD3(sCD3)(12/22,54.5％),while there was a lack of expression of CD7(8/22,36.4％).and no abnormal T cells were found in 2 cases.TCR gene rearrangement analysis was performed in 7 cases,with 3 cases showing TCR clonality.Conclusion AITL with bone marrow involvement exhibits a lower proportion of tumor cells and less atypia,making it prone to misdiagnosis.The presence of lymphocytic foci with mixed cellular components in the bone marrow can indicate bone marrow involvement in AITL.Flow cy-tometry detection of abnormal T cells(double positive for CD4 and CD10)strongly suggests bone marrow infiltration in AITL.A comprehensive diagnosis of bone marrow involvement in AITL re-quires consideration of bone marrow biopsy,flow cytometry,and TCR gene rearrangement analysis.

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 identify the genetic variation in a mucopolysaccharidosis type Ⅱ(MPS Ⅱ)family, and conduct a functional study of iduronate-2-sulfatase(IDS): c.323A>C.Methods:A five-generation MPS Ⅱ family of 83 individuals including 4 patients from northern China was collected. Urine mucopolysaccharide and Alder-Reilly body were tested to assist the clinical diagnosis of MPS Ⅱ. IDS enzyme activity was detected on core family members. By the whole exome sequencing of a MPS Ⅱ patient in this family and bioinformatics analysis, the variant was screened and further identified by PCR-Sanger sequencing. Finally, to validate the function of the variant in vitro, the wild-type IDS overexpression plasmid(pCMV-hIDS-WT)and the IDS overexpression plasmid carrying the mutation site(pCMV-hIDS-c.323A>C)were transfected into COS-7 cells and the IDS activity was detected. Results:The proband(Ⅳ3)and Ⅳ4 were diagnosed as MPS Ⅱ by urine mucopolysaccharide, Alder-Reilly body, and IDS enzyme activity tests. Ⅳ3, Ⅳ4, Ⅲ19, and Ⅲ32 were determined to carry IDS: c.323A>C missense variant through the whole-exome sequencing, and diagnosed as MPS Ⅱ. Meanwhile, Ⅱ2, Ⅱ4, Ⅱ8, Ⅱ12, Ⅱ14, Ⅲ5, Ⅲ7, Ⅳ14 in the MPS Ⅱ family carried IDS: c.323A>C missense variant, and were excluded as MPS Ⅱ. The in vitro experiment in COS-7 cells showed that the missense mutation led to a significant decrease in IDS enzyme activity. Conclusion:The variant IDS: c.323A>C: p.Y108S significantly decreases the activity of IDS enzyme in vivo and in vitro, and it is identified as a pathogenic variant for MPS Ⅱ.

Objective:To investigate the biological characteristics of Kerstersia gyiorum and to support the rapid and accurate identification of Kerstersia gyiorum on mass spectrometry by using Matrix-Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry (MALDI-TOF-MS) for self-built libraries. Methods:From November 2020 to February 2022, thirty-eight strains of Kerstersia gyiorum isolated from clinical patients of the General Hospital of Southern Theatre Command were collected and identified by the fully automated microbial analysis system (Vitek-2 Compact), the automatic microbial mass spectrometry detection system (Vitek-MS) and the 16S ribosomal RNA sequencing. Thirteen strains were randomly selected and mass spectra were obtained by using Vitek-MS. The SARAMIS software was used to construct a Kerstersia gyiorum library, and the remaining 25 strains were used to validate the constructed library. Results:The Vitek-2 Compact and Vitek MS were unable to identify Kerstersia gyiorum; 13 strains were successfully built into a self-built library of Kerstersia gyiorum by SARAMIS software, and 25 validated strains were identified as Kerstersia gyiorum with a confidence level of more than 99.0% and 100% (25/25) accuracy. Conclusion:Kerstersia gyiorum has unique mass spectrometry profile, which can be identified as species quickly and accurately by the establishment of the self-constructed library of profiles.

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 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:In order to provide guidance strategies for the establishment and application of self-report inventory in nursing research, we discussed the mental response model regarding tested nurses during its application.Methods:From September to November 2020, based on the grounded theory, we conducted semi-structured interviews for 9 tested nurses, who were from Qilu Hospital of Shandong University and Jinan Central Hospital, and data were analyzed to extract the psychological response topic.Results:A response model for tested nurses, which formed three psychological responses that factored in exam motivation, exam situation and individual will was built.Conclusion:The present study reveals the correlations among exam motivation, exam situation, individual will and psychological responses during the application of self-report inventory on tested nurses, which could provide references for the establishment and application of self-report scale in nursing research.

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 investigate the risk factors for susceptibility of abnormal liver function in patients with gout. Methods: A total of 5 044 cases of male gout patients in remission were selected and divided into normal liver function group with 3 693 patients and abnormal liver function group with 1 351 patients. The clinical information was collected and relevant biochemical indices were detected. Serum uric acid(SUA) was divided into quartiles, and its associations with elevated ALT were evaluated. Results: There were significant differences in the history of drinking, family history, combining with hyperlipidemia, fatty liver, and coronary heart disease between the abnormal liver function group and normal function group(P<0.05 or P<0.01). There were significant statistical differences in age, disease duration, body mass index, waist circumference, diastolic blood pressure, serum cholesterol and triglyceride, uric acid, and creatinine clearance rate between 2 groups(P<0.01), while without significant difference in history of smoking, regular exercise, combining hypertension and diabetes, the means of systolic blood pressure, and fasting blood glucose(all P>0.05). Further logistic regression analysis indicated that body mass, waist circumference, combining fatty liver, higher SUA level, higher cholesterol and triglyceride were risk factors of the early onset of abnormal liver function. ALT and the proportion of abnormal liver function were increased with the increase of UA. After adjustment for BMI, TG, TC and fatty liver, the ALT level and the proportion of abnormal liver function decreased significantly while still showed an upward trend. Conclusion Patients with obesity, high level of uric acid, high blood lipids and fatty liver were more likely to develop abnormal liver function, SUA was independently associated with elevated ALT.

Objective: To screen gene mutation information of gout pedigree through whole genome sequencing and to carry out preliminary analysis. Methods: One typical gout pedigree was selected as the study subjects. The clinical data and the peripheral blood samples were collected and constructed charts of the pedigree. DNAs were extracted from peripheral blood and analyzed by the whole genome sequencing, and by the software analysis and comparison, screening out the pathogenic genes and related mutations. Then the verifications were conducted in the family members and the controls. Bioinformatics software was applied to predict the effect of mutation on gene expression. Results: Based on the sequencing results, advanced informational analysis was performed to screen out the mutations 1040-8 A> G near the 5 ′end near the exon 8 of the PLAA gene. The results showed that all the gout patients in the family had 1040 -8 A> G sites, and none of the mutants were found in the non-gout group and 200 controls; bioinformatics analysis suggested that the mutation could affect PLAA gene expression, but not affecting PLAA mRNA structure. Conclusion PLAA gene 1040-8 A> G mutation is separated from patients in the gout pedigree, and the newly discovered PLAA gene may act as a gout pathogenic gene.