Objective To study the effect of bcl-2 antisense oligodexynucleotides on the apoptosis in human small-cell lung cancer cell line NCI-H69. Methods Cultured cells were divided into 4 groups: antisense oligodexynucleotides(ASODN), sense oligodexynucleotides (SODN), nonsense oligodexynucleotides (NSODN) and control.The different bcl-2 oligodexynucleotides was transfected into corresponding cells using oligofectamine.The expression of bcl-2 was examined by Western blot.The apoptosis rates were measured by flow cytometry (FCM).Results The bcl-2 expression in ASODN group was significantly inhibited compared to the control group, SODN and NSODN groups, but it was not obviously inhibited in SODN and NSODN groups.The apoptosis rate of ASODN group in different concentration was (9.97±1.54) %, (15.28±1.73) % and (21.41±1.85) % respectively, it was significantly higher than that of the control group (F = 7.19-15.48,q = 5.21-7.98, P ＜0.01). Conclusion The bcl-2 ASODN could enhance cell apoptosis rate in small-cell lung cancer by blocking bcl-2 gene effectively.

Real world clinical diagnosis and treatment activity is a complicated decision-making task. The effective clinical cases of traditional Chinese medicine (TCM) of highly experienced physicians play an important role in the routine diagnosis and treatment and the formulation of medical knowledge . Based on TCM electronic medical record data, this paper proposed a decision support prototype system on TCM clinical diagnosis and treatment based on TCM effective clinical cases and case-based reasoning (CBR) algorithm, which is used to assist inexperienced clinicians to make more reliable clinical decisions, and thereafter to improve the clinical curative effectiveness. The system integrates TCM clinical cases data set from a TCM clinical data warehouse, and retrieves the similar cases based on CBR method. In particular, according to the underlying personalized diagnosis and treatment for patients in TCM, this system implemented a flexible diagnosis and treatment modification mechanism based on correlation analysis among symptoms, diagnoses (syndrome or pattern in TCM) and medicine. Finally, through a demonstration of clinical application, we made an initial evaluation of the usefulness and practical effects of the system.

OBJECTIVETo compare the predictive value of liver enzymes and alcohol consumption for determining risk of type 2 diabetes (T2DM).

METHODSA cross-sectional study was conducted in Zhengzhou with a total of 2, 693 men.Participants' height, weight, and histories of smoking and drinking were recorded. Levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma-glutamyl transferase (GGT) and blood glucose, as well as related metabolic indexes were detected.

RESULTSModerate daily alcohol consumption (more than 35 g ethanol/week and less than 140 g ethanol/week) decreased the risk of type 2 diabetes (OR =0.376, 95% CI:0.306 -0.463, P less than 0.05) but increased risk for higher levels of GGT and ALT (OR GGT =3.012, 95% CI:2.357-3.849, Pless than 0.01; ORALT =1.473, 95% CI:1.043-2.081, Pless than 0.05). In joint analyses of alcohol consumption and liver enzymes, the group of nondrinkers/light drinkers (less than or equal to 35 g ethanol/week) in the fourth quartile of GGT levels had the highest risk for type 2 diabetes (OR =12.219, 95% CI:6.217-24.016, P less than 0.01). The relationship of ALT and daily alcohol consumption with the risk of type 2 diabetes was almost the same as that of GGT (nondrinkers/light drinkers in the fourth quartile of ALT levels (OR =5.357, 95% CI:3.070-9.350, P less than 0.0 1).

CONCLUSIONGGT, ALT and daily alcohol consumption were independently associated with risk of type 2 diabetes. Nondrinkers/light drinkers with the highest levels ofGGT orALT were at high risk of type 2 diabetes.

Alanine Transaminase ; Alcohol Drinking ; Aspartate Aminotransferases ; Blood Glucose ; Cross-Sectional Studies ; Diabetes Mellitus, Type 2 ; Humans ; Liver ; Male ; Risk Factors ; Smoking ; gamma-Glutamyltransferase