1.Evaluation of narrow-band imaging in the diagnosis of colorectal lesions and learning curve
Yang SHANG-WEN ; Dai MU-GEN ; Lian QING-WU ; Zhou TAO-MEI ; Ye BIN ; He WEI-LI
China Journal of Endoscopy 2017;23(9):52-58
Objective To evaluate the usefulness of narrow-band imaging with magnification in differentiating colorectal lesions, and assess for a learning curve, to gave help for the clinician, who want to carry out the technique. Method We retrospectively analyzed the clinical data of 289 patients who underwent NBI combined with magnification by four endoscopic physician, from June, 2015 to June, 2016, all the lesions were biopsied, endoscopic treatment or postoperative pathology and pathological examination, and the Sano classification control. All lesions were divided into three groups according to the NBI combined with magnifying endoscopy, these three sets included both lesions requiring endoscopic treatment (e.g. target lesions) and lesions that were not, or could not be, treated by endoscopy (e.g. nontarget lesions). Each physician examined the target or non-target lesion reached 15 cases as a group. By assessing the diagnostic accuracy of the four physicians for each group of lesions, an associated learning curve of NBI combined with magnifying endoscopy was developed. Result In 289 patients, 372 lesions were found by colonoscopy. NBI combined with magnifying endoscopy was 95.1%, 98.0% and 92.0%, respectively, in the identification of tumor and non-neoplastic lesions. The accuracy of the diagnosis of target and non-target lesions was significantly higher in group 2 than in group 1 [81.7% vs 95.1% (P = 0.010) and 71.7% vs 93.4% (P = 0.000)]. There was no significant difference in the diagnostic accuracy between group 2 and group 3 (P = 0.984 and P = 0.117). Conclusion It is very useful to use narrow-band imaging and Sano CP analysis in the differential diagnosis of colorectal lesions. The endoscopists who had never used NBI or no knowledge of NBI can have effective and stable diagnostic accuracy after using NBI with magnification to diagnose 15 target and non-target lesions respectively.
2.Effect of Yiqi Yangyin Prescription on Lipid Metabolism in Rats with Type 2 Diabetes
Zhen REN ; Pei-fang DAI ; Yue LIU ; Jing ZHANG ; Xin MU ; Gen-li LIU
Chinese Journal of Experimental Traditional Medical Formulae 2021;27(7):57-65
Objective:To observe the effect of Yiqi Yangyin prescription on lipid metabolism in type 2 diabetes rat model induced by high fat diet combined with intraperitoneal injection of streptozocin (STZ), and explore its mechanism in regulation of lipid metabolism. Method:The rats were fed with high-fat diet for 4 weeks, and intraperitoneal injection of STZ was provided to establish diabetes model. The diabetic rats were randomly divided into model group, Yiqi Yangyin prescription high dose group, medium dose group and low dose group (9.00, 4.50, 2.25 g·kg-1) and metformin group (0.20 g·kg-1). Another blank control group was set up. The high, medium and low dose groups were given with different oral doses of Yiqi Yangyin prescription granules, metformin was given in metformin group, the model group and the blank group received the same volume of normal saline. Intragastric administration was given for three weeks, and then the weight and blood glucose were measured. Automatic biochemical analyzer was used to detect triglyceride (TG), total cholesterol (TC), low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), aspartate aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase (ALP), and content of total protein (TP). Hematoxylin-eosin (HE) staining was used to observe the pathological changes of liver tissues in each group. Periodic acid-schiff stain (PAS) staining was used to observe the pathological changes of liver glycogen. The lipid changes of liver tissues were observed by oil red O staining. The expression of adenosine monophosphate activated protein kinase (AMPK)/ sterol regulatory element binding protein 1c (SREBP1c)/acetyl-coenzyme A carboxylase (ACC1)/peroxisome proliferator activated re-ceptor