Objective To elucidate the clinical features of nutcracker syndrome complicated with IgA nephropathy (IgAN) and to increase its level of diagnosis and treatment. Methods Clinical data of 14 cases of nutcracker syndrome complicated with IgA nephropathy (patient group) and 36 cases of nutcracker syndrome (control group) were analyzed retrospectively. Nutcracker syndrome was diagnosed by ultrasonography and magnetic resonance angiography (MRA) and IgAN by renal biopsy. Differences of clinical data and images in two groups were analyzed. Results Gender, age and blood pressure of two groups were not significantly different. Higher Scr level [(81.2±21.3) μmol/L vs (61.2±11.8) μmol/L, P<0.01], more severe proteinuria [(1.1 ± 0.6) g/d vs (0.3±0.2) g/d, P<0.01] and hematuria (2.3±0.9 vs 1.5±1.3, P<0.05) in patient group were found. Differences of ultrasonography and MRA in two groups were not significant. Conclusion Renal biopsy should be considered in cases of nutcracker syndrome with persistence of proteinuria, hematuria or abnormal morphology of urinary red blood cell.

Objective Study the apply of diffusional kurtosis imaging(DKI) value to assess liver cancer and tumoral cell invasion of peritumoral liver zone. Methods This research belonging to prospective study which included 24 patients with liver cancer and confirmed by clinical history and imaging features(liver cancer group), 10 healthy volunteers as control group. The liver cancer group underwent MRI plain and contrast enhanced scan, and DKI examination, while control group underwent MRI plain scan and DKI scan. The signal features of liver parenchyma and liver cancer lesion could be observed from the routine MRI and DKI. Fractional anisotropy (FA), mean diffusion (MD), axial diffusivity (Da), radial diffusivity (Dr), fractional anisotropy kurtosis (Fak), mean kurtosis (MK), kurtosis anisotropy (Ka) and radial kurtosis (Kr) value of four groups, the distant liver parenchyma(far away from the tumor>2 cm), peritumoral liver parenchyma(the distance≤2 cm around the tumor) and liver cancer were recorded. The differences of DKI parameters were evaluated using one-way analysis of variance (ANOVA). Results The signal of liver cancer in MR plain scan showed mild long T1 and mild long T2 signal, fast in and fast out enhanced feature of the neoplasms could be observed from the enhanced MRI and signal of liver cancer would not lower in DKI with b value up to top. The difference of DKI parameters including FA, MD, Da, Dr and Ka value had statistical significance in these four groups excepted for MK and Kr value. MD, Da and Dr value of normal parenchyma were higher than that of peritumoral parenchyma and liver cancer,while the Ka value was reverse. The differences of MD, Da, Dr and Ka value only had no statistical significance between the distant liver parenchyma and peritumoral liver parenchyma(P>0.05),and the differences of them had statistical significance among the rest group(P<0.05). Conclusion The DKI quantitative parameters can reflect the differences of different tissue, meaning that they can provide molecular imaging information for evaluating liver cancer and peritumoral zone.

Objective·To explore the correlation between comorbidities of chronic non-communicable diseases(chronic diseases),phase angle(PhA),and muscle mass decline associated with sarcopenia in the elderly,and the predictive value of chronic disease comorbidities and PhA in muscle mass decline in the elderly.Methods·By retrospectively screening inpatients aged≥60 years who were admitted to the Department of Geriatrics,Renji Hospital,Shanghai Jiao Tong University School of Medicine from August 1,2018 to July 31,2019,basic information and medical history of the patients(gender,age,number of medications used,number of comorbidities,presence of osteoporosis,smoking history,etc.)were collected,as well as laboratory examination indicators(hemoglobin,albumin,serum creatinine,serum uric acid,ferritin,vitamin D,triacylglycerol,total cholesterol,high-density lipoprotein,low-density lipoprotein,etc.).The age-adjusted Charlson comorbidity index(aCCI)was calculated.The InBody S10 bioelectrical impedance body composition detector was used to test the body composition.Body mass index(BMI),skeletal muscle mass index(SMI),and PhA were collected.Some patients underwent measurement of grip strength.Muscle mass decline was diagnosed by using the SMI values recommended by the 2019 Asian Working Group for Sarcopenia(AWGS)(≤7.0 kg/m2 for males and≤5.7 kg/m2 for females).According to the measured SMI values,patients were divided into a group with normal muscle mass and a group with muscle mass decline.Univariate and multivariate Logistic analyses were employed to investigate the risk factors associated with muscle mass decline related to sarcopenia in the elderly.Additionally,the receiver operator characteristic(ROC)curve and the area under the curve were utilized to predict the significance of these factors in muscle mass decline.Results·A total of 359 chronic disease patients were enrolled,including 226 males and 133 females.There were 241 cases in the normal muscle mass group and 118 cases in the muscle mass decline group.The incidence of muscle mass decline related to sarcopenia in the elderly was 32.9%.The univariate Logistic regression analysis showed that age(OR=1.036,95%CI 1.013?1.060),comorbidities(OR=1.117,95%CI 1.025?1.217),aCCI(OR=1.123,95%CI 1.031?1.222),and high-density lipoprotein(OR=3.688,95%CI 2.065?6.622)were positively correlated with the risk of muscle mass decline in the elderly.BMI(OR=0.514,95%CI 0.443?0.597),PhA(OR=0.195,95%CI 0.126?0.303),hemoglobin(OR=0.984,95%CI 0.972?0.996)and triacylglycerol(OR=0.606,95%CI 0.424?0.866)were negatively correlated with the risk of muscle mass decline in the elderly.Multivariate Logistic regression model indicated that PhA(OR=0.338,95%CI 0.119?0.959)and BMI(OR=0.634,95%CI 0.476?0.844)were negatively correlated with the risk of muscle mass decline in elderly.The area under the ROC curve for predicting muscle mass decline related to sarcopenia in elderly by using BMI and PhA was 0.893(95%CI 0.855?0.931)and 0.786(95%CI 0.736?0.837),respectively.The sensitivity was 0.724 and 0.676,respectively.The specificity was 0.916 and 0.762,respectively.When BMI combined with PhA predicted muscle mass decline in the elderly,the area under the ROC curve was 0.917(95%CI 0.883?0.951).The sensitivity was 0.867,and the specificity was 0.860.Conclusion·aCCI is correlated with muscle mass decline associated with sarcopenia in the elderly.As BMI and PhA decrease,the risk of muscle mass decline in the elderly increases.The combination of BMI and PhA has a high predictive value in muscle mass decline in the elderly.No predictive value of chronic diseases comorbidities in muscle mass decline related to sarcopenia in the elderly is found.

Clostridium difficile is an important zoonotic intestinal pathogen, which is widely present in humans and a variety of animals. The ST11 type C. difficile is one of the most widespread and harmful subtypes in the world. As a large country in pig farming, China lacks efficient methods for detecting C. difficile of porcine origin, leaving hidden dangers for the prevention and control of C. difficile. The aim of this study was to develop a specific and sensitive double-antibody sandwich ELISA for the epidemiological investigation of ST11 type C. difficile of porcine origin. Firstly, a 97 kDa receptor binding domain (RBD) was expressed in a prokaryotic host and purified. A hybridoma cell line AE2D3 capable of stably secreting monoclonal antibody targeting the RBD was screened, and the antibody subtype was determined to be IgG2b (κ). Secondly, a double antibody sandwich ELISA method was developed, where the monoclonal antibody targeting the RBD was used as a detection antibody, and the rabbit polyclonal antibody was used as a capture antibody. The chessboard method was used to determine the matching concentration of the capture antibody and the detection antibody, the antigen coating conditions, the blocking conditions, the incubation conditions for detection antibody and samples to be tested, as well as the reaction conditions of HRP-conjugated and reaction conditions of TMB chromogenic solution. The negative cutoff OD₄₅₀ was 0.152, and no cross-reaction with 13 strains of non-ST11 type C. difficile was found. The minimum detection concentration of RBD was 8.83 ng/mL. This specific and sensitive double-antibody sandwich ELISA provides a reliable serological detection method for epidemiological investigation of the ST11 type C. difficile in pig industry.
Animals ; Antibodies, Monoclonal ; Bacterial Proteins/genetics* ; Bacterial Toxins ; Clostridioides difficile ; Enzyme-Linked Immunosorbent Assay ; Hybridomas ; Swine