Purpose To investigate 18F-FDG PET/CT imaging characteristics of multiple myeloma (MM) and bone metastatic tumor,and evaluate the diagnostic value of 18F-FDG PET/CT in the identification of MM and bone metastatic tumor.Materials and Methods Thirty patients who were definitely diagnosed as MM and another 30 cases with bone metastatic tumor confirmed by through pathology in the First Affiliated Hospital of Harbin Medical University from September 2010 to February 2017 were chosen to receive 18F-FDG PET/CT imaging.Focal distribution,type of bone destruction,maximum standardized uptake value and metabolic homogeneity in the two groups were compared.In addition,18F-FDG metabolic profile was also compared with that of the 30 controls with healthy bone.Results MM and bone metastatic tumor were mostly seen on spine,pelvis and chest bone,followed by limbs.Focal occurrence rate of the spine,pelvis and limbs had no statistical difference (P＞0.05).MM would often involve skull while bone metastatic tumor involved skull less often and differences among patients in the two groups were of statistical significance (P＜0.05).Uptaking abilities of MM and bone metastatic tumor on 18F-FDG were higher than that of healthy bones and the difference was of statistical importance (P＜0.05).MM on 18F-FDG was mostly represented as diffuse slight uptake and bone metastatic tumor was more often represented as imbalanced uptake.Among MM focal in this group,osteolytic bone destruction occupied 96.7％ and was mostly represented as "chisel-like" or "insect-bite-like".In addition,the bone was in expansive change,which was obvious in ribs and osteoblastic bone change was rare (3.3％).Among bone metastatic tumor focal,bone destruction was 76.7％,mostly represented as focal lesions and osteoblastic change was about 36.7％.As bone destruction occurred in MM and bone metastatic tumor,soft tissues mass was formed.Difference in the two groups had no statistical significance (x2=0.07,P＞0.05).Conclusion 18F-FDG PET/CT examination can obtain anatomical,metabolic and other imaging features and is of higher value for the identification and diagnosis of MM and bone metastatic tumor.

Liver fibrosis is primarily driven by the activation of hepatic stellate cells(HSCs),a process associated with ferroptosis.Ginsenoside Rb1(GRb1),a major active component extracted from Panax ginseng,inhibits HSC activation.However,the potential role of GRb1 in mediating HSC ferroptosis remains un-clear.This study examined the effect of GRb1 on liver fibrosis both in vivo and in vitro,using CCl4-induced liver fibrosis mouse model and primary HSCs,LX-2 cells.The findings revealed that GRb1 effectively inactivated HSCs in vitro,reducing alpha-smooth muscle actin(a-SMA)and type Ⅰ collagen(Col1A1)levels.Moreover,GRb1 significantly alleviated CCl4-induced liver fibrosis in vivo.From a mechanistic standpoint,the ferroptosis pathway appeared to be central to the antifibrotic effects of GRb1.Specifically,GRb1 promoted HSC ferroptosis both in vivo and in vitro,characterized by increased glutathione depletion,malondialdehyde production,iron overload,and accumulation of reactive oxygen species(ROS).Intriguingly,GRb1 increased Beclin 1(BECN1)levels and decreased the System Xc-key subunit SLC7A11.Further experiments showed that BECN1 silencing inhibited GRb1-induced effects on HSC ferroptosis and mitigated the reduction of SLC7A11 caused by GRb1.Moreover,BECN1 could directly interact with SLC7A11,initiating HSC ferroptosis.In conclusion,the suppression of BECN1 counteracted the effects of GRb1 on HSC inactivation both in vivo and in vitro.Overall,this study highlights the novel role of GRb1 in inducing HSC ferroptosis and promoting HSC inactivation,at least partly through its modulation of BECN1 and SLC7A11.

OBJECTIVE To optimize the water extraction process of Flos Lonicerae-Fructus Forsythuae and determine the range of water extraction process parameters.METHODS The active components were screened by network pharmacology,and the indica-tor ingredients were determined in combination with the quality markers under the relevant terms of Chinese Pharmacopoeia 2020 edition and the literature.Take extraction yield and the extraction rate of the indicative component as the critical quality attributes of the water extraction process to screen critical process parameters.The mathematical model was established by Box-Behnken experimental design to investigate the interaction between CQAs and CPPs and build the design space of the water extraction process of Flos Lonicerae-Fruc-tus Forsythuae.RESULTS The extraction percentages of phenolic acids,forsythoside A and forsythin were screened as the index components;specifications of medicinal slices,extraction time and water addition were the key process parameters.Based on the estab-lishment and optimization of the design space,the optimum water extraction process was obtained as follows:the medicinal slice of Lian-Qiao was broken into 0.8-1.2 cm,adding 12 times the amount of water in the first and extract for 30-50 min,10 times the a-mount of water in the second and extract for 25-30 min.CONCLUSION The verification results show that the measured value ob-tained by using the design space method to optimize the water extraction process is close to the predicted value,indicating that the method is stable and reliable,which can provide ideas for its further process development and quality control for the couple medicines of Flos Lonicerae-Fructus Forsythuae.

ObjectiveTo study the changing law of appearance color and physicochemical properties of Angelicae Sinensis Radix Carbonisata（ASRC） during the processing by color space method combined with statistical analysis， so as to provide reference for determining the processing endpoint and evaluating the quality of the decoction pieces. MethodsTaking processing time（4， 8， 12， 16 min） and temperature（180， 200， 220， 240 ℃） as factors， ASRC decoction pieces with different processing degrees were prepared in a completely randomized design. Then， the brightness value（L^*）， red-green value（a^*）， yellow-blue value（b^*）， and total chromaticity value （E^*ab） of the decoction pieces were determined by spectrophotometer， the color difference value（ΔE） was calculated， and the data of colorimetric values were analyzed by discriminant analysis. At the same time， the pH， charcoal adsorption， and contents of tannins， 5-hydroxymethylfurfural（5-HMF）， tryptophan， chlorogenic acid， ferulic acid， senkyunolide I， senkyunolide H and ligustilide of ASRC with different processing degrees were determined by pH meter， ultraviolet and visible spectrophotometry and ultra-high performance liquid chromatography（UPLC）. Principal component analysis（PCA） was used to analyze the data of physicochemical indexes， after determining the processing technology of ASRC， the canonical discriminant function was established to distinguish the decoction pieces with different processing degrees， and leave-one-out cross validation was conducted. Finally， Pearson correlation analysis was used to explore the correlation between various physicochemical indexes and chromaticity values. ResultsWith the prolongation of the processing time， L^*， a^*， b^* and E^*ab all showed a decreasing trend， and the established discriminant model based on color parameters was able to distinguish ASRC with different processing degrees. The pH showed an increasing trend with the prolongation of processing time， and the charcoal adsorption， and the contents of tannins， 5-HMF， and tryptophan all showed an increasing and then decreasing trend. Among them， the charcoal adsorption， contents of tannin and 5-HMF reached their maximum values successively after processing for 8-12 min. While the contents of chlorogenic acid， ferulic acid， senkyunolide I， senkyunolide H and ligustilide decreased with the increase of processing time， with a decrease of 60%-80% at 8 min of processing. Therefore， the optimal processing time should be determined to be 8-12 min. PCA could clearly distinguish ASRC with different processing degrees， while temperature had no significant effect on the processing degree. The 12 batches of process validation results（10 min， 180-240 ℃） showed that except for 3 batches identified as class Ⅱ light charcoal， all other batches were identified as class Ⅲ standard charcoal， and the chromaticity values of each batch of ASRC were within the reference range of class Ⅱ-Ⅲ sample chromaticity values. The correlation analysis showed that the chromaticity values were negatively correlated with pH and charcoal adsorption， and positively correlated with contents of tryptophan， chlorogenic acid， ferulic acid， senkyunolide I， senkyunolide H， and ligustilide. And both pH and charcoal adsorption were negatively correlated with the contents of the above components， but the charcoal adsorption was positively correlated with the content of 5-HMF. ConclusionThe chromaticity values and the contents of various physicochemical indicators of ASRC undergo significant changes with the prolongation of processing time， and there is a general correlation between chromaticity values and various physicochemical indicators. Based on the changes in color and physicochemical indicators， the optimal processing time for ASRC is determined to be 8-12 min. This study reveals the dynamic changes of the relevant indexes in the processing of ASRC， which can provide a reference for the discrimination of the processing degree and the quantitative study of the processing endpoint.