Chronic hepatitis B virus is the most common cause of hepatocellular carcinoma. This article summarizes the pathogenesis of HBV-related carcinogenesis and the viral and host factors that may increase the risk of HCC development. HBV has 40RFs (S,C,P,X). The approach associated with HBV-related hepatocarcinogenesis includes paint mutation, insertion mutation and deletion mutations.

Identification of the native habitat of Chinese medicine decoction pieces plays an important role in the use of Chinese Heber medicine. However, the traditional method always based on subjective description, lack of quantitative information. In this study, nanomechanical analysis of Ophiopogonis Radix, Polygonati Odorati Rhizoma and Curcumae Aromaticae Radix coming from different districts was carried out by using the force-distance curve of atomic force microscopy (AFM), including stiffness (represented by the slope of the force curve) and adhesion work (calculated via the adhesion area of the retrace line in force-distance curve). The results showed that the Ophiopogonis Radix from Sichuan province (slope 0.03 +/- 0.001) was significantly stiffer but less sticky [adhesion work 393.98 +/- 49.21 x 10(-10)) J] in comparison with that from Hubei province [slope 0.018 +/- 0.001, adhesion work (985.67 +/- 91.61) x 10(-10) J]; the Polygonati Odorati Rhizoma Hunan province was stiffer (slope 0.03 +/- 0.002) and stickier [adhesion work (413.67 +/- 92.58) x10(-10) J] than that from Dongbei province [slope 0.019 +/- 0.002, adhesion work (27.37 +/- 11.05) x 10(-10) J]; the Curcumae Aromaticae Radix from Sichuan province was also stiffer (slope 0.019 +/- 0.0017) but less stickier [adhesion work (1179.79 +/- 225.05) x 10(-10) J] than that from Hubei province [slope 0.013 +/- 0.0006, adhesion work (2831.27 +/- 93.71) x 10(-10)]. It is indicated that changes in mechanical properties of Chinese medicine decoction pieces correlate well with their origin. This method may provide quantitative information for the identification of the native habitat of Chinese medicine decoction pieces.
Drugs, Chinese Herbal ; chemistry ; Ecosystem ; Medicine, East Asian Traditional ; methods ; Microscopy, Atomic Force ; methods

Objective To explore the value of multi-parameter spectral CT for differentiating grade G2-3 pancreatic neuroendocrine tumor(pNET)and pancreatic neuroendocrine carcinoma(pNEC).Methods Preoperative double-layer detector spectral CT(DLCT)data of 35 patients with pNET(pNET group,including 25 cases of G2 grade and 10 cases of G3 grade)and 17 patients with pNEC(pNEC group)were retrospectively analyzed.Conventional CT and spectral CT parameters were compared between groups,and those being significant different between groups according to univariate analysis were respectively incorporated into multivariate logistic regression to select the independent predictors for identifying grade G2-3 pNET and pNEC.Conventional CT model and spectral CT model were constructed,and the combined model was constructed based on the two.The efficacy of each model for distinguishing grade G2-3 pNET and pNEC was evaluated.Results CT values of lesions during venous phase(OR=0.939,P=0.025)and vascular invasion(OR=5.049,P=0.027)shown on conventional CT were both independent predictors,and conventional CT model was constructed,its area under the curve(AUC)for distinguishing grade G2-3 pNET and pNEC was 0.808.Normalized iodine concentration during venous phase(OR=0.603)and normalized effective atomic number during venous phase(OR=0.847)on spectral CT were both independent predictors(both P＜0.05),and spectral CT model was constructed.The AUC of spectral CT model was 0.894,higher than that of conventional CT model(Z=2.127,P=0.033).The AUC of combined model was 0.924,higher than that of conventional CT model(Z=2.302,P=0.021)but not significantly different with that of spectral CT model(Z=0.827,P=0.408).Conclusion Multi-parameter spectral CT could effectively differentiate grade G2-G3 grade pNET and pNEC.