AIM:To investigate whether the expression of perilipin 2(PLIN2)in renal tubular cells could predict a decline in renal function in diabetic kidney disease(DKD)patients,and to explore the potential mechanisms in-volved in renal tubular cell injury induced by PLIN2 during the progression of DKD.METHODS:Control individuals(n=12)and DKD patients(n=51)were enrolled in this retrospective cohort study.Demographic and laboratory data were col-lected.A simplified linear mixed-effects model was applied to assess the estimated glomerular filtration rate(eGFR)slope.The relationship between PLIN2 and renal function decline in DKD patients was predicted by Spearman correlation analysis and a generalized linear model.BKS-db/db diabetic mice and streptozotocin-induced diabetic mice were used.Primary renal tubular cells were treated with glucose and transfected with small interfering RNA or plasmid.Western blot-ting and immunofluorescence staining were used to detect PLIN2 expression.Lipid droplets were stained with oil red O.The oxygen consumption rate(OCR)of mitochondria was measured using an extracellular flux analyser.RESULTS:The expression of PLIN2 was markedly higher in the tubules of DKD patients than in those of control subjects.After 24(12,39)months of follow-up,the eGFR slope of DKD patients was-7.42(-19.77,-2.09)mL/(min·1.73 m2·year).An in-crease in the baseline percentage of PLIN2-positive tubules was significantly associated with the eGFR slope during the fol-low-up period[hazard ratio(HR)=1.90,95%confidence interval(CI):1.00～3.58],indicating that tubular PLIN2 could predict a decrease in renal function in DKD patients.Both the accumulation of lipid droplets and the expression of PLIN2 were markedly greater in the tubules of diabetic mice than in those of control mice.Glucose treatment induced lipid droplet accumulation and PLIN2 expression in renal tubular cells.Knockdown of PLIN2 significantly alleviated glucose-in-duced lipid droplet accumulation,whereas PLIN2 overexpression aggravated glucose-induced lipid droplet accumulation.The decrease in mitochondrial OCR in renal tubular cells induced by glucose treatment was alleviated after PLIN2 knock-down.However,overexpression of PLIN2 directly decreased the mitochondrial OCR.CONCLUSION:The PLIN2 ex-pression in tubules predicts a decline in renal function in patients with DKD.The PLIN2 suppresses mitochondrial aerobic respiration and contributes to the accumulation of lipid droplets in renal tubular cells to promote the progression of DKD.

The regulatory role of pericoronary adipose tissue(PC AT)in cardiovascular diseases is of paramount im-portance.PCAT exerts extensive pathophysiological effects on the cardiovascular system by secreting various bioactive substances,such as adipokines and cytokines.Currently,the attenuation value of PCAT can be detected via coronary computed tomography angiography(CCTA),a method that not only reflects the level of vascular inflammation but also holds significant clinical value in the detection and prognostic assessment of coronary heart disease plaques.Therefore,this article reviews the pathophysiological mechanisms of PCAT and its clinical significance in coronary heart disease.

  Objective  To study the demographic and clinical characteristics, correlation of genotype and phenotype and treatment of Blau syndrome to facilitate early diagnosis and timely treatment of Blau syndrome.  Methods  Seventy-two patients with Blau syndrome from 11 centers from May 2006 to April 2022 were retrospectively analyzed, and their general information, clinical data, laboratory examination and treatment medication were collected.  Results  The distribution of patients with Blau syndrome was uniform in geographical north and south of China, and there was no obvious gender bias. The mean age of onset was (14.30±12.81) months, and the age of diagnosis was (55.18±36.22) months. 35% of patients with Blau syndrome happened before 1 year old, and all patients developed before 5 years old. 87.50% (63/72) had granulomatous arthritis, 65.28% (47/72) had rash, 36.11% (26/72) had ocular involvement, 27.78% (20/72) had fever, and 15.28% (11/72) had pulmonary involvement. Arthritic manifestations of Blau syndrome were most at risk, followed by rash, ocular involvement, and fever.The first 25 months of the disease, the risk of developing a rash was the greatest. The risk of developing arthritis was the greatest between 25 months and 84 months. The main mutations were p.R334Q and p.R334W, and patients with p.R334Q mutation had relatively high incidence of fever (35.71%[5/14] vs. 14.29%[1/7], P=0.43) and ocular involvement (42.86%[6/14]vs. 28.57%[2/7], P=0.51). There was a relatively high incidence of rash (85.71%[6/7] vs. 64.29%[9/14], P=0.59) in patients with the p.R334W mutation. Forty-five patients(62.50%)were treated with a combina-tion of glucocorticoid and methotrexate. Twenty-two patients were treated with tumor necrosis factor antagonist in addition to glucocorticoid and methotrexate.  Conclusions  The risk of different clinical manifestations of Blau syndrome from high to low was arthritis, followed by rash, ocular involvement and fever. The main treatment was glucocorticoid combined with methotrexate, to which biological agents could be added.

Objective:To explore the correlation between socioeconomic status (SES) and diabetic kidney disease (DKD) in patients with type 2 diabetes (T2D).Methods:A total of 276 T2D patients admitted to the Second Affiliated Hospital of Nanjing Medical University from January to June 2020 were enrolled in this cross-sectional study. The estimated glomerular filtration rate (eGFR) was calculated according to the urinary albumin/creatinine ratio (UACR) and the chronic kidney disease epidemiology collaboration equation(CKD-EPI formula) based on serum creatinine. The patients were divided into simple T2D group (184 cases) and DKD group (92 cases). Collect demographic and laboratory examination data, record education, income and occupation, and calculate standardized SES scores. According to SES scores, subjects were divided in three levels: SES≤9, SES≥10-≤12, and SES≥13. Student's t test was used for comparison of measurement data with normal distribution between two groups, and one-way ANOVA was used for comparison between multiple groups. Non-normal distribution was represented by M( Q1, Q3), and rank-sum test was used for comparison between groups. Counting data were expressed as frequency or percentage, and chi-square test was used for comparison between groups. Bofferoni test was further used for pairwise comparison of indicators with statistical significance among multiple groups. Spearman correlation analysis was used to analyze the correlation between variables. The risk factors were analyzed by binary Logistic regression. Results:The age of the subjects was (53.37±10.68) years, men accounted for 55.8% (154/276), the duration of diabetes was 60.00 (12.00, 134.00) months, and eGFR was (97.56±21.15) mL/(min·1.73 m 2). In simple T2D group and DKD group, prevalence of hypertension were 39.7% (73/184) and 57.6% (53/92), systolic blood pressure were (129.43±14.92) mmHg and (139.29±17.61) mmHg, diastolic blood pressure were (81.86±10.06) mmHg and (87.74±11.19) mmHg, serum albumin were (45.74±4.15) g/L and (43.99±5.05) g/L, triglycerides were (1.82±1.24) mmol/L and (2.64±2.92) mmol/L, high density lipoprotein cholesterol were (1.17±0.37) mmol/L and (1.07±0.26) mmol/L, serum uric acid were (298.44±90.73) μmol/L and (336.22±94.01) μmol/L, serum creatinine were (62.83±14.45) μmol/L and (87.75±57.37) μmol/L, eGFR were (102.6±14.28) mL/(min·1.73 m 2) and (87.47±28.04) mL/(min·1.73 m 2), UACR were (7.60 (4.63, 13.15)) mg/g and (93.95 (47.25, 310.25)) mg/g. Prevalence of hypertension, systolic blood pressure, diastolic blood pressure, triglycerides, serum uric acid, serum creatinine, UACR in DKD group were higher than those in simple T2D group. Serum albumin, high density lipoprotein cholesterol and eGFR in DKD group were lower than those in simple T2D group. There was significant difference between the two groups ( χ2=7.95, t values were 4.87, 4.40, 3.04, 3.26, 2.30, 3.22, 5.56, 5.95, Z=13.07, P values were 0.005, <0.001, <0.001, 0.003, 0.001, 0.022, 0.001, <0.001, <0.001, and <0.001, respectively). The number of males in the three groups with SES ≥13 group, SES≥10-≤12 group, SES ≤9 group were 61 (81.3%, 61/75), 55 (59.8%, 55/92), 38 (34.9%, 38/109), respectively. The number of cases with smoking history were 42 (56.0%, 42/75), 41 (44.6%, 41/92), 35 (32.1%, 35/109), respectively. The number of cases with drinking history were 38 (50.7%, 38/75), 32 (34.8%, 32/92), 26 (23.9%, 26/109), respectively. The ages were (47.77±10.76), (52.76±11.22), (57.74±7.96) years old, respectively. Body mass index (BMI) were (26.17±3.87), (24.96±3.93), (24.27±4.89) kg/m 2, respectively. High density lipoprotein cholesterol (HDL) were (1.03±1.03), (1.16±0.41), (1.21±0.32) mmol/L, respectively. Serum uric acid were (336.56±82.05), (293.78±94.78), (307.99±96.53) μmol/L, respectively. EGFR were (105.03±19.72), (99.77±19.44), (90.57±21.49) mL/(min·1.73 m 2),respectively.The difference between groups were statistically significant (χ 2=39.79, 10.55, 14.08, F=22.69, 4.03, 6.20, 4.53, 12.02, P values were <0.001, 0.005, 0.001, <0.001, 0.019, 0.002, 0.012, and <0.001, respectively). Pairwise comparison shows that male and eGFR in SES ≤9 group were lower than those in SES ≥13 group and SES≥10-≤12 group, age in SES ≤9 group was higher than that in SES ≥13 group and SES≥10-≤12 group. The difference was statistically significant (all P<0.05). Smoking history, alcohol history and BMI in SES ≤9 group were lower than those in SES ≥13 group, and the high density lipoprotein cholesterol in SES ≤9 were higher than that in SES ≥13 group. The difference was statistically significant (all P<0.05). Male, alcohol history and serum uric acid in SES≥10-≤12 group were lower than those in SES ≥13 group, and age and high density lipoprotein cholesterol in SES≥10-≤12 group were higher than those in SES ≥13 group. The difference was statistically significant (all P<0.05). Spearman correlation analysis showed that SES in T2D was positively correlated with male, smoking history, alcohol history, BMI, serum uric acid and eGFR ( r values were 0.38, 0.20, 0.24, 0.16, 0.13 and 0.31, P values were <0.001, 0.001, <0.001, 0.008, 0.028, and <0.001, respectively), and negatively correlated with age, high density lipoprotein cholesterol and UACR ( r values were -0.35, -0.24 and -0.14, P values were <0.001, <0.001, and 0.017, respectively). Logistic regression analysis showed that SES (OR=2.71,95% CI:1.10-6.68, P=0.031) was associated with T2DM combined with DKD. The risk of developing DKD increased when the SES was ≤9. Conclusion:The SES in patients with type 2 diabetes is closely related to DKD. Low SES may be a new risk factor for DKD in type 2 diabetic patients.

Autoinflammatory diseases (AIDs) are a group of disorders characterized by dysfunction of innate immunity which caused by gene mutations leading to coded proteins changes, finally causing uncontrolled systemic inflammation. AIDs are a group of rare rheumatic and inflammatory diseases. Here, Chinese Rheumatology Association summarized manifestations of the main AIDs, and to standardize the methods for diagnosis of AIDs.

Objective:To explore the application effect of SBAR communication mode based on early warning hierarchical management in emergency observation room.Methods:Formulating the handover program of SBAR communication mode based on the early warning hierarchical management, systematically training the nurses of the observation room and put into effect.The 455 patients transferred by 18 nurses in the observation room from November to December 2018 were listed as the control group, and the traditional SBAR communication mode was implemented for the handover.A total of 443 patients with nurse handover from November to December 2019 were included in the observation group, and the SBAR communication mode based on early warning hierarchical management was implemented. The incidence of adverse nursing events, quality of nursing handover, doctors' and nurses' satisfaction with the handover were compared between the two groups.Results:The incidence of adverse events was 1.81%(8/443) in the observation group and 7.91%(36/455) in the control group, the difference between the two groups was statistically significant (χ 2 value was 17.96, P < 0.05).In the observation group, the nursing handover quality and nurse's knowledge of the patients’ condition were (91.37±2.73) points and (96.7%,58/60) respectively, while those in the control group were (89.07±2.76) points and (81.7%, 49/60).The difference between the two groups was statistically significant ( t value was -2.38, χ 2 value was 6.99,all P<0.05).The satisfaction of doctors and nurses on nursing handover was 95.0%(57/60) and 95.0%(57/60)in the observation group respectively, and that in the control group was 83.3%(50/60) and 81.7%(49/60) respectively.The difference between the two groups was statistically significant (χ 2 values were 4.23, 5.18, P < 0.05). Conclusions:SBAR communication mode based on early warning classification can significantly improve the early warning ability of nurses in emergency observation room during the shift, reduce the occurrence of adverse nursing events, improve the quality of nursing shift, and improve the satisfaction of doctors and nurses.

Objective To assess the value of small bowel computed tomography ( CT ) scan combined with single balloon enteroscopy ( SBE) for the diagnosis and treatment of Peutz-Jeghers syndrome ( PJS) . Methods CT scan was performed in cases that were clinically suspected or proved PJS for the number, size, location and relative acute complications of polyps in the small intestine. Single balloon enteroscopy was used to resect small intestinal polyps according to CT findings. The number of observed polyps in diagnosis, numbers of resected polyps, procedure duration and complications in endoscopic therapy were analysed. Results Polyps were found in the small intestine in all patients. There were 68 polyps whose diameter was 1-4 cm. Nine SBE procedures were completed in these patients. The mean procedure time was 120 min. A total of 65 polyps were detected by SBE with 95. 59％ concordance to CT results. A total of 52 polyps were resected under endoscopy, the largest diameter of which was 4 cm. No complications were observed after SBE. Conclusion Combination of small bowel CT scan and SBE is safe and effective for diagnosis and treatment of PJS patients, which is worth recommendation.

Objective To investigate the distribution,drug resistance of bile pathogenic bacteria,and the risk factors for biliary infection.Methods Clinical and laboratory data of patients hospitalized from January 2008 to October 2015 were reviewed for pathogenic bacteria and drug resistance,and the factors related to biliary tract infection were studied.Results Among all 320 cases,there were 249 cases of pathogenic bacteria in bile specimens,the positive rate was 77.81％.There were 356 strains of pathogenic bacteria of 40 species,including 244 strains of gram negative bacteria (68.54％),93 strains of gram positive bacteria (26.12％) and 19 strains of fungi (5.34％).Top three bacteria were Escherichia coli (84 strains,23.60％),Klebsiella pneumonia (60 strains,16.85％),and Enterococcus faecium (40 strains,11.24％).The Escherichia coli and Klebsiella pneumoniae had the highest drug resistance to cefazolin,and they had a lower drug resistance to cefoxitin and amikacin.The multivariate analysis showed that age ≥ 60 years (AOR =2.311,95％ CI:1.292-4.135) and the history of ERCP operation (AOR =3.475,95％ CI:1.587-7.607) were independent risk factors for biliary tract infection.Conclusion Bacteria are mainly gram negative bacteria in the bile of patients with biliary tract infection,suggesting antibiotics with low resistant rate of gram-negative is the first choice.The age ≥ 60 years and history of ERCP surgery are independent risk factors for patients with biliary tract disease.Measures to prevent biliary infections in high-risk patients should be taken.

OBJECTIVETo explore the relationship between 'ideal' cardiovascular behaviors and factors and the incidence of hypertension.

METHODSA prospective cohort study including 52 133 workers who had participated in the 2006-2007 Kailuan health examination without history of cerebral infraction, myocardial infarction or hypertension but with complete data, was carried out. All workers were followed on their occurrence of hypertension. According to the AHA definition of 'ideal' cardiovascular health behaviors and factors, the cumulative incidence rates of hypertension in different groups were calculated under the life table method, and compared by Log-rank test, Cox proportional hazards regression was used to calculate the hazard rations and 95% confidence intervals for baseline behaviors and factors.

RESULTSThe cumulative incidence rates of hypertension according 0-1, 2, 3, 4, 5-7 ideal cardiovascular health behaviors and factors were 65.72%, 59.14%, 54.59%, 50.24% and 34.22%, respectively in the 0-1, 2, 3, 4, 5-7 groups. Data from the Cox proportional hazards model showed that after adjusting for age, education level and family history of hypertension, the ones who had 2, 3, 4, 5-7 ideal cardiovascular behaviors/factors were 0.75, 0.69, 0.63, 0.36 times more than those who had 0-1 ideal behaviors.

CONCLUSIONThe incidence of hypertension and risk reduced along with the increase of ideal cardiovascular health behaviors and factors.

Adult ; Female ; Health Behavior ; Humans ; Hypertension ; epidemiology ; Incidence ; Male ; Middle Aged ; Proportional Hazards Models ; Prospective Studies ; Risk Factors

Objective To explore the relationship between‘ideal’cardiovascular behaviors and factors and the incidence of hypertension. Methods A prospective cohort study including 52 133 workers who had participated in the 2006-2007 Kailuan health examination without history of cerebral infraction,myocardial infarction or hypertension but with complete data,was carried out. All workers were followed on their occurrence of hypertension. According to the AHA definition of‘ideal’ cardiovascular health behaviors and factors,the cumulative incidence rates of hypertension in different groups were calculated under the life table method,and compared by Log-rank test,Cox proportional hazards regression was used to calculate the hazard rations and 95% confidence intervals for baseline behaviors and factors. Results The cumulative incidence rates of hypertension according 0-1,2,3,4, 5-7 ideal cardiovascular health behaviors and factors were 65.72%,59.14%,54.59%,50.24% and 34.22%,respectively in the 0-1,2,3,4,5-7 groups. Data from the Cox proportional hazards model showed that after adjusting for age,education level and family history of hypertension,the ones who had 2,3,4,5-7 ideal cardiovascular behaviors/factors were 0.75,0.69,0.63,0.36 times more than those who had 0-1 ideal behaviors. Conclusion The incidence of hypertension and risk reduced along with the increase of ideal cardiovascular health behaviors and factors.