Objective To investigate the expression of TFPT in non-small cell lung cancer (NSCLC), evaluate its clinical significance and study its influence on NSCLC. Methods Total of 50 specimens of carcinoma tissues and para-carcinoma tissue after surgery were collected.Then qRT-PCR was performed for TFPT expression. The correlations between the expression of TFPT and pathological characteristics were analyzed.pcDNA3.1-TFPT was transfected to up-regulate TFPT expression in A549 cells,and the transfection efficiency was evaluated by qRT-PCR.CCK8 assay was performed to evaluate the effects of ectopic TFPT on proliferation of A549 cells.The expression of TCF3 protein was determined by Western blot.Results The expression level of TFPT was up-regulated in tumor tissue compared with that in the para-carcinoma tissue. The expression of TFPT was associated with patients'gender, tumor size, differentiation degree, lymphatic metastasis and the distal metastasis (P < 0.01). Meanwhile, overexpression of TFPT increased the expression of TCF3 and the proliferation of A549 cells. Conclusions The expression of TFPT is obviously increased in NSCLC patients of female,larger tumor size, higher clinical stage or advanced histological grade. TFPT may promote cell proliferation by affecting the expression of TCF3 proteins.

Objective:To analyze the clinicopathological features in diabetic kidney disease (DKD) and non-diabetic kidney disease (NDKD) patients, and provide reference for patients who will receive renal biopsy with diabetes mellitus complicated with chronic kidney disease.Methods:The patients with type 2 diabetes mellitus complicated with chronic kidney disease who underwent renal biopsy were collected through the database at the Nanfang Hospital of Southern Medical University from February 2002 to June 2018. According to the results of renal biopsy, they were divided into DKD group and NDKD group (including DKD+NDKD). The clinical manifestations and pathological types were compared between the two groups.Results:A total of 507 patients were eventually included in the study. There were 114 cases (22.5%) with DKD and 393 cases (77.5%) with NDKD. Pathologically, the most common pathological types of NDKD were membranous nephropathy (30.0%) and IgA nephropathy (19.1%). Among NDKD patients, 5.6% patients had DKD combing with NDKD. In term of the clinical manifestations, DKD patients had a longer history of diabetes (>1 year, 76.3% vs 36.1%, P<0.001), higher quantity of urinary protein [3.69(1.70, 6.74) g/24 h vs 2.21(0.91, 4.97) g/24 h, P<0.001], higher serum creatinine [117.5(85.8, 194.5) μmol/L vs 89.0(68.0, 143.8) μmol/L, P<0.001] than NDKD patients. But the hemoglobin [(105.07±20.85) g/L vs (124.41±25.02) g/L, P=0.002] and cholesterol [(5.69±1.87) mmol/L vs (6.43±2.75) mmol/L, P=0.001] in DKD patients were lower than those in NDKD patients. Logistic regression analysis showed that diabetes mellitus history ( OR=4.162, 95% CI 1.717-10.098, P=0.002) , higer systolic pressure (every 1 mmHg, OR=1.028, 95% CI 1.011-1.045, P=0.001) , history of antihypertensive medication ( OR=3.141, 95% CI 1.496-6.591, P=0.002), diabetic retinopathy ( OR=5.561, 95% CI 2.361-13.100, P<0.001) and higher glycated hemoglobin level (every 1%, OR=1.680, 95% CI 1.333-2.118, P<0.001) were related factors of DKD, while hematuria ( OR=2.781, 95% CI 1.334-5.798, P=0.006) and higher hemoglobin level (every 1 g/L, OR=1.022, 95% CI 1.008-1.037, P=0.002) were related factors of NDKD. Conclusions:There are differences in clinical manifestations and pathological types between DKD and NDKD. The history of diabetes, antihypertensive medication, fundus examination, higher of proteinuria and glycosylated hemoglobin may predict DKD, while hematuria and higher level of hemoglobin may have certain guiding significance for the diagnosis of NDKD. The indication of renal biopsy in patients with diabetes mellitus complicated with chronic kidney disease should include comprehensive clinical manifestations.

Objective: To evaluate the aerosol concentration(PM2.5,PM10.0 and aerosol particle number) formation in non-contact "air-puff" tonometry and provide suggestions for medical workers to take appropriate daily protection during the prevalence of 2019-nCoV. Methods: A cross-sectional study was carried out in this study. Thirty healthy subjects were enrolled on February 22, 2020 at Eye Hospital of Wenzhou Medical University. The intraocular pressure (IOP) was measured by non-contact "air-puff" tonometer in the ophthalmic consulting room and the hall with or without masks. PM2.5, PM10.0 and aerosol particles were recorded by air quality detector. The cumulative effects of IOP measurement, PM2.5, PM10.0 and aerosol particle number were analyzed, and the aerosol density of subjects with and without masks was compared. Results: The PM2.5, PM10.0 and aerosol particles produced by the non-contact "air-puff" tonometry and increased with the increase of spray times. The IOP curves of 60 eyes of 30 subjects were measured respectively in two environments of medical consulting room and medical institution hall. It was found that PM2.5, pm10.0 and particle number fluctuated and increased with the increase of IOP measurement person times, showing cumulative effect, and the accumulation speed of aerosol density in hall was faster than that in consulting room. The density of PM2.5 and PM10.0 produced without gauze mask were (53.417±2.306) and (85.350± 3.488) μg/m³, which were higher than those of (50.567±0.862) and (80.617±1.463) μg/m³ with gauze mask. The differences were statistically significant (P=0.028, 0.019). Conclusions Aerosol can be produced by non-contact "air-puff" tonometer spraying, and it fluctuates with the increase of spraying times, showing a cumulative effect. The aerosol accumulation is higher in the hall with insufficient air circulation. And more aerosol can be produced without gauze mask.