Objective:To study the genotyping characteristics of Brucella strains isolated from Lianyungang City (non-brucellosis epidemic area) of Jiangsu Province. Methods:Preliminary identification of 13 suspected strains of Brucella isolated from blood culture in Clinical Microbiology Laboratory of the First People's Hospital of Lianyungang City in 2018 was conducted; at the same time, the specific gene bcsp31 and insertion sequence IS-711 of Brucella were detected by quantitative real-time PCR (Real-time PCR), and the identification results were rechecked and typed. Multiple locus variable-number tandem repeat analysis (MLVA) was applied for genotyping, and the sequencing results were edited by Mega 4.0 software. Results:All the 13 strains were identified as Brucella by preliminary identification. Real-time PCR confirmed that all the 13 strains were Brucella melitensis. The results of MLVA showed that 13 strains of Brucella melitensis were divided into 12 genotypes and clustered in the "middle Mediterranean cluster". Among 13 strains of Brucella melitensis, 3 strains were biovar 1, 2 strains were biovar 2 and 8 strains were biovar 3. Conclusion:All the Brucella strains isolated from Lianyungang City are Brucella melitensis and the MLVA cluster is in the "middle Mediterranean cluster".

Objective:To determine the characteristics of hospitalized newly diagnosed systemic lupus erythematosus (SLE) patients with high disease activity, and identify the risk factors.Methods:Data from 194 newly diagnosed SLE patients at Shanghai Renji Hospital between May 2013 and December 2018 were collected retrospectively. All patients were followed up for 1 year or until death. Patients' demographic, clinical, and laboratory characteristics on admission and medication history were retrospectively collected as baseline data. Patients were divided into two groups, lupus patients with infection (51 cases) and lupus patients without infection (143 cases). The method of univariate analysis of data depended on the data distribution type. Variables that suggested association in the univariate analysis ( P<0.05) were entered into Cox regression model. Results:Among 194 patients with newly diagnosed SLE, 21 cases (11%) died and 51 cases (26%) were infected during 1-year follow-up. Regarding the infection site, 34 cases (67%) had lung infection, 9 cases (18%) had central nervous system infection and 9 cases (18%) had blood stream infection. Common bacteria were identified in 19 cases (45%), followed by fungal infection in 18 cases (43%) and mycobacterium infection in 7 cases (17%). Among the 51 patients with infection, 38 patients (75%) had infection within the first 3 months after diagnosis, and mortality in this group was significantly higher than that in the uninfected group (39%, 15/38 vs 2%, 3/143 , P<0.01). Comparing baseline parameters between patients with 3-month infection and without, significant differences ( P<0.05) were detected in age (≥40 years), systemic lupus erythematosus disease activity index (SLEDAI) score (>10 points), Systemic Lupus International Collaborating Clinic (SLICC)/American College of Rheumatology(ACR) systemic lupus erythematosus damage index (SDI) (≥1 point), pericardial effusion, nephritis, gastrointestinal vasculitis, diabetes, lymphocyte count <0.8×10 9/L platelet count <100×10 9/L, serum creatinine >104 mmol/L and serum globulin level <20 g/L. Finally, clinically meaningful candidate predictors were included in the Cox regression model and it showed that lymphocyte count <0.8×10 9/L, nephritis and gastrointestinal vasculitis were independently predictive for 3-month infection in new-onset lupus patients. Conclusion:Understanding disease spectrums and risk factors of infection in newly diagnosed SLE patients will help clinicians to manage those patients with infection effectively to achieve favorable prognosis.

Objective To investigate the clinical pathological characteristics and prognosis of primitive neuroectodermal tumor (PNET) of breast.Methods Patients with breast PNET were retrieved from CNKI,Pubmed,Europe PMC and other databases from Jan.1980 to Dec.2016.The clinical data of one patient with breast PNET in our hospital were analyzed retrospectively.Results 18 cases had painless,rapid growth mass as the main clinical features.The pathological morphology showed small round cell tumors,PAS staining positive.Immunohistochemistry CD99 and Fli-1 characteristic expression were the main indexes for the diagnosis of breast PNET.The positive expression of Vimentin,NSE,Syn and negative expression of CK,EMA,Desmin,CgA,LCA,S-100 also played an important role in the diagnosis of breast PNET.The positive expression of genetic marker EWSRI was the golden standard for diagnosis of breast PNET.The size of the tumor,surgical treatment,lymph node metastasis,distant metastasis and chemotherapy were the important factors that affect the prognosis of the PNET.The survival rates of 1 and 3 years were 71.4％ and 33.3％ respectively.Conclusions Breast PNET is a rare tumor with poor prognosis,and its diagnosis is highly dependent on pathology.Surgery can significantly improve the prognosis of the patients.Surgery should be the main treatment,combined with radiotherapy and chemotherapy.The current study does not show evidence of effectiveness in terms of endocrine or targeted drug therapy for breast PNET patients.

OBJECTIVEUsing multilevel analysis model to analyze the regional-cluster and risk factors of blood pressure among adult residents in Zhejiang province.

METHODSTotally, 17 437 residents were studied through a multi-stage cluster random sampling method from 60 streets/townships. Risk factors on SBP and DBP were analyzed through a two-level regression model, respectively.

RESULTSThe average blood pressure in males appeared as: SBP (125.14±17.90) mmHg, DBP (80.02±10.07) mmHg, compared with SBP (123.36±20.20) mmHg, DBP (77.42±10.09) mmHg in females. The average blood pressure in urban areas were SBP (126.29 ± 19.46) mmHg, DBP (79.64±10.20) mmHg, compared with SBP (122.82±18.86) mmHg, DBP (77.99±10.08) mmHg in rural areas, with differences statistically significant (P < 0.001), between the two areas. Pearson correlation coefficients between SBP, SDP and age were 0.44 and 0.21(P < 0.001), respectively. 5.24% variation of the SBP and 4.96% variation of the DBP were attributed to the environmental factors. Factors as age, gender, hypertension in family history, taking medication for blood pressure, physical exercise, smoking, alcohol drinking, BMI, waist, FPG, TG and TC at the individual level. were associated with both SBP and SDP (P < 0.05). Family income seemed to be related to SBP. Education, reducing salt intake, intensity of occupation would affect on DBP. Influence of FPG and TC on SBP varied among streets/townships while relation between TC and DBP also varied.

CONCLUSIONThe distribution of blood pressure showed regional-cluster phenomenon. Strategies for different regions directed to prevent hypertension should consider the individual factors such as age, BMI, FPG, TG, TC, the regional factors and the sensitivity of different population to factors.

Adolescent ; Bias ; Blood Pressure ; physiology ; China ; epidemiology ; Cross-Sectional Studies ; Female ; Humans ; Hypertension ; epidemiology ; prevention & control ; Male ; Middle Aged ; Multilevel Analysis ; Regression Analysis ; Risk Factors

ERK pathway regulated the programmed death ligand-1 (PD-L1) expression which was linked to the response of programmed death-1 (PD-1)/PD-L1 blockade therapy. So it is deducible that ERK inhibitor could enhance the efficacy of PD-1 inhibitor in cancer immunotherapy. In this study, PD0325901, an oral potent ERK inhibitor, strongly enhanced the efficacy of PD-1 antibody