AIM:To explore the potential of Huangqi sanqi mixture(AP)in improving renal fi-brosis by performing transcriptome sequencing of the kidneys of the unilateral ureteral ligation mouse group and the Huangqi sanqi mixture inter-vention group,and using bioinformatics to verify the signitficantly different lncRNAs mechanism.METHODS:Twenty-four C57 mice were divided in-to sham operation group,renal fibrosis group,Huangqi sanqi mixture intervention group(3.944 g/kg)and irbesartan positive control intervention group,with 6 mice in each group.A mouse model of renal fibrosis was established by unilateral ure-teral ligation(UUO).The animals were given intra-gastric administration after operation,and the ani-mals were sacrificed and the specimens were col-lected after seven consecutive days of administra-tion.The changes of Huangqi sanqi mixture on re-nal fibrosis pathological damage were analyzed by HE and Masson staining,and the protein levels of Fn and α-SMA in renal tissue of each group were detected by Western blot and immunohistochemis-try to evaluate the alleviating effect of Huangqi san-qi mixture on renal fibrosis.Subsequently,lncRNA expression information was obtained by transcrip-tome sequencing,and Quantitative Real-time PCR(qPCR)was performed after data quality,GO en-richment and differential lncRNA were analyzed.According to the differential lncRNA and target analysis results obtained by sequencing,lncRNA Gm51500/Adam12 was overexpressed in vitro,and its mechanism in the protection of renal fibrosis by Huangqi sanqi mixture was studied by immunohis-tochemistry,immunofluorescence staining and qP-CR verification.RESULTS:Compared with the mod-el group,the renal fibrosis of the mice in the Huangqi sanqi mixture intervention group was sig-nificantly reduced,and the protein levels of α-SMA and Fn and the expression of lncRNA in the renal tis-sue were significantly down-regulated(P＜0.000 1).Three lncRNAs were screened and verified to in-crease in the model group and significantly de-crease after AP intervention,namely lncRNA Gm29994,Gm51500 and Gm35391.Target analysis showed that lncRNA Gm51500 had the most signifi-cant relationship with Adam12.The results of ani-mal experiments showed that Adam12 was highly expressed in the kidney of UUO mice and was sig-nificantly inhibited after AP intervention.Subse-quent cell experiments confirmed that overexpres-sion of lncRNA Gm51500 could up-regulate TGF-β-induced renal tubular cell fibrosis and Adam12 ex-pression.Cell recovery experiments confirmed that Adam12 overexpression reversed the inhibitory ef-fect of AP on renal tubular cell injury and fibrosis.CONCLUSION:Huangqi sanqi mixture can improve renal fibrosis.Based on transcriptomic sequencing,lncRNA Gm51500/Adam12 axis may be a potential target for Huangqi sanqi mixture to improve renal fibrosis.

AIM:To explore the potential of Huangqi sanqi mixture(AP)in improving renal fi-brosis by performing transcriptome sequencing of the kidneys of the unilateral ureteral ligation mouse group and the Huangqi sanqi mixture inter-vention group,and using bioinformatics to verify the signitficantly different lncRNAs mechanism.METHODS:Twenty-four C57 mice were divided in-to sham operation group,renal fibrosis group,Huangqi sanqi mixture intervention group(3.944 g/kg)and irbesartan positive control intervention group,with 6 mice in each group.A mouse model of renal fibrosis was established by unilateral ure-teral ligation(UUO).The animals were given intra-gastric administration after operation,and the ani-mals were sacrificed and the specimens were col-lected after seven consecutive days of administra-tion.The changes of Huangqi sanqi mixture on re-nal fibrosis pathological damage were analyzed by HE and Masson staining,and the protein levels of Fn and α-SMA in renal tissue of each group were detected by Western blot and immunohistochemis-try to evaluate the alleviating effect of Huangqi san-qi mixture on renal fibrosis.Subsequently,lncRNA expression information was obtained by transcrip-tome sequencing,and Quantitative Real-time PCR(qPCR)was performed after data quality,GO en-richment and differential lncRNA were analyzed.According to the differential lncRNA and target analysis results obtained by sequencing,lncRNA Gm51500/Adam12 was overexpressed in vitro,and its mechanism in the protection of renal fibrosis by Huangqi sanqi mixture was studied by immunohis-tochemistry,immunofluorescence staining and qP-CR verification.RESULTS:Compared with the mod-el group,the renal fibrosis of the mice in the Huangqi sanqi mixture intervention group was sig-nificantly reduced,and the protein levels of α-SMA and Fn and the expression of lncRNA in the renal tis-sue were significantly down-regulated(P＜0.000 1).Three lncRNAs were screened and verified to in-crease in the model group and significantly de-crease after AP intervention,namely lncRNA Gm29994,Gm51500 and Gm35391.Target analysis showed that lncRNA Gm51500 had the most signifi-cant relationship with Adam12.The results of ani-mal experiments showed that Adam12 was highly expressed in the kidney of UUO mice and was sig-nificantly inhibited after AP intervention.Subse-quent cell experiments confirmed that overexpres-sion of lncRNA Gm51500 could up-regulate TGF-β-induced renal tubular cell fibrosis and Adam12 ex-pression.Cell recovery experiments confirmed that Adam12 overexpression reversed the inhibitory ef-fect of AP on renal tubular cell injury and fibrosis.CONCLUSION:Huangqi sanqi mixture can improve renal fibrosis.Based on transcriptomic sequencing,lncRNA Gm51500/Adam12 axis may be a potential target for Huangqi sanqi mixture to improve renal fibrosis.

Objective To establish the method for simultaneous determination of six index components in the water extract of Weile Prescription;To optimize the water extraction process.Methods UPLC-MS/MS was used with Waters CORTECS C18 column(2.1 mm×100 mm,1.6 μm)as the chromatographic conditions;the mobile phase was 0.1%formic acid water-acetonitrile with gradient elution;the flow rate was 0.25 mL/min;the column temperature was 40℃;the sample volume was 2 μL.Electrospray negative ion source,positive and negative ion switching multi-reaction monitoring(MRM)mode were detected.Taking the content of six index components(gallic acid,vitexin,paeoniflorin,naringin,hesperidin and glycyrrhizic acid)and extraction rate as evaluation indexes,the weight coefficient of each index was determined by G1-entropy weight method,and the optimum parameters of extraction process were determined by orthogonal experiment design with the amount of water,extraction time and extraction times as investigation factors.Results There was a good linear relationship of the six components in the water extract of Weile Prescription in the concentration range(r>0.999),and the average recovery rate was 96.83%-102.56%,RSD<4.0%.The best technological parameters were as follows:Chinese decoction pieces were soaked in 12 times of water for 2 h,and extracted twice,each time for 1.5 h.Conclusion The UPLC-MS/MS method established in the study for simultaneous determination of six components in Weile Prescription is rapid,simple and sensitive,and the optimized extraction process is stable and feasible,which provides experimental basis for the development and research of the preparation.

Objective:To clone the Helicobacter pylori(Hp)hp0169 gene and conduct the crystallographic study,and to clarify its secondary and tertiary structures.Methods:The hp0169 gene and its encoded protein sequence of the Hp NCTC26695 strain were retrieved from the UniProt database.Bioinformatics method was used to analyze the physicochemical properties of the Hp recombinant protease(HpPrtC)protein;SOPMA and DNAStrar softwares were used to predict the secondary structure characteristics of HpPrtC protein;SWISS-MODEL software was used to construct the tertiary structure of the HpPrtC protein;IEDB and ABCpred softwares were used to predict the antigenic epitopes of the B lymphocytes HpPrtC protein;SYFPEITMI website was used to predict the antigenic epitopes of the T lymphocytes of HpPrtC protein;the expert pool(EP)and random forest(RF)algorithms were used to predict the crystallizability of the HpPrtC protein;the HpPrtC recombinant protein was expressed in the prokaryotic system;the HpPrtC recombinant protein was purified by Ni2+affinity chromatography and size-exclusion chromatography;the crystallization conditions for HpPrtC were screened by crystallization kit.Results:The hp0169 gene contained 1 269 base pairs and encoded the protein of 422 amino acids,the theoretical isoelectric point was 7.64 and the relative molecular weight was 47 300.HpPrtC was a hydrophilic and soluble protein.The number of amino acids of alpha helices of HpPrtC accounted for 35.78%,beta sheets 18.72%,beta turns 6.87%,and random coils 38.63%.The antigen epitope analysis results showed that HpPrtC contained five dominant linear epitopes of B lymphocytes,three conformational epitopes,and multiple potential dominant epitopes of T lymphocytes.The homology modeling results showed that HpPrtC formed a dimer,and each monomer displayed a barrel structure surrounded by β sheets,alpha helices,and random coils.HpPrtC was predicted to have moderate crystallizability without signal peptides and transmembrane helices.Small clustered needle-like crystals of HpPrtC were obtained under the conditions of 0.2 mol·L-1 magnesium chloride,0.1 mol·L-1 tris(hydroxymethyl)amino methane(Tris),3.4 mol·L-1 hexanediol,and pH=8.5.Conclusion:HpPrtC is a hydrophilic protein that forms a dimeric structure and crystallizes into small clustered needle-like crystals under suitable conditions.HpPrtC contains dominant antigenic epitopes of the T lymphocytes and B lymphocytes and can serve as an antigen for the design of Hp vaccines to establish the multivalent fusion vaccines or multi-epitope vaccines;the results provide an experimental basis for the prevention and control of Hp.

Objective:To develop and evaluate metal artifact removal systems (MARSs) based on deep learning to assess their effectiveness in removing artifacts caused by different thicknesses of metals in cone-beam CT (CBCT) images.Methods:A full-mouth standard model (60 mm×75 mm×110 mm) was three-dimensional (3D) printed using photosensitive resin. The model included a removable and replaceable target tooth position where cobalt-chromium alloy crowns with varying thicknesses were inserted to generate matched CBCT images. The artifacts resulting from cobalt-chromium alloys with different thicknesses were evaluated using the structural similarity index measure (SSIM) and peak signal-to-noise ratio (PSNR). CNN-MARS and U-net-MARS were developed using a convolutional neural network and U-net architecture, respectively. The effectiveness of both MARSs were assessed through visualization and by measuring SSIM and PSNR values. The SSIM and PSNR values were statistically analyzed using one-way analysis of variance (α=0.05).Results:Significant differences were observed in the range of artifacts produced by different thicknesses of cobalt-chromium alloys (all P<0.05), with 1 mm resulting in the least artifacts. The SSIM values for specimens with thicknesses of 1.0 mm, 1.5 mm, and 2.0 mm were 0.916±0.019, 0.873±0.010, and 0.833±0.010, respectively ( F=447.89, P<0.001). The corresponding PSNR values were 20.834±1.176, 17.002±0.427, and 14.673±0.429, respectively ( F=796.51, P<0.001). After applying CNN-MARS and U-net-MARS to artifact removal, the SSIM and PSNR values significantly increased for images with the same thickness of metal (both P<0.05). When using the CNN-MARS for artifact removal, the SSIM values for 1.0, 1.5 and 2.0 mm were 0.938±0.023, 0.930±0.029, and 0.928±0.020 ( F=2.22, P=0.112), while the PSNR values were 30.938±1.495, 30.578±2.154 and 30.553±2.355 ( F=0.54, P=0.585). When using the U-net-MARS for artifact removal, the SSIM values for 1.0, 1.5 and 2.0 mm were 0.930±0.024, 0.932±0.017 and 0.930±0.012 ( F=0.24, P=0.788), and the PSNR values were 30.291±0.934, 30.351±1.002 and 30.271±1.143 ( F=0.07, P=0.929). No significant differences were found in SSIM and PSNR values after artifact removal using CNN-MARS and U-net-MARS for different thicknesses of cobalt-chromium alloys (all P>0.05). Visualization demonstrated a high degree of similarity between the images before and after artifact removal using both MARSs. However, CNN-MARS displayed clearer metal edges and preserved more tissue details when compared with U-net-MARS. Conclusions:Both the CNN-MARS and U-net-MARS models developed in this study effectively remove the metal artifacts and enhance the image quality. CNN-MARS exhibited an advantage in restoring tissue structure information around the artifacts compared to U-net-MARS.

Objective:To develop and evaluate metal artifact removal systems (MARS) based on deep learning to assess their effectiveness in removing artifacts caused by different thicknesses of metals in cone-beam CT (CBCT) images.Methods:A full-mouth standard model (60 mm×75 mm×110 mm) was three-dimensional (3D) printed using photosensitive resin. The model included a removable and replaceable target tooth position where cobalt-chromium alloy crowns with varying thicknesses were inserted to generate matched CBCT images. The artifacts resulting from cobalt-chromium alloys with different thicknesses were evaluated using the structural similarity index measure (SSIM) and peak signal-to-noise ratio (PSNR). CNN-MARS and U-net-MARS were developed using a convolutional neural network and U-net architecture, respectively. The effectiveness of both MARSs were assessed through visualization and by measuring SSIM and PSNR values. The SSIM and PSNR values were statistically analyzed using one-way analysis of variance (α=0.05).Results:Significant differences were observed in the range of artifacts produced by different thicknesses of cobalt-chromium alloys (all P<0.05), with 1 mm resulting in the least artifacts. The SSIM values for specimens with thicknesses of 1.0, 1.5, and 2.0 mm were 0.916±0.019, 0.873±0.010, and 0.833±0.010, respectively ( F=447.89, P<0.001). The corresponding PSNR values were 20.834±1.176, 17.002±0.427, and 14.673±0.429, respectively ( F=796.51, P<0.001). After applying CNN-MARS and U-net-MARS to artifact removal, the SSIM and PSNR values significantly increased for images with the same thickness of metal (both P<0.05). When using the CNN-MARS for artifact removal, the SSIM values for 1.0, 1.5 and 2.0 mm were 0.938±0.023, 0.930±0.029, and 0.928±0.020 ( F=2.22, P=0.112), while the PSNR values were 30.938±1.495, 30.578±2.154 and 30.553±2.355 ( F=0.54, P=0.585). When using the U-net-MARS for artifact removal, the SSIM values for 1.0, 1.5 and 2.0 mm were 0.930±0.024, 0.932±0.017 and 0.930±0.012 ( F=0.24, P=0.788), and the PSNR values were 30.291±0.934, 30.351±1.002 and 30.271±1.143 ( F=0.07, P=0.929). No significant differences were found in SSIM and PSNR values after artifact removal using CNN-MARS and U-net-MARS for different thicknesses of cobalt-chromium alloys (all P>0.05). Visualization demonstrated a high degree of similarity between the images before and after artifact removal using both MARS. However, CNN-MARS displayed clearer metal edges and preserved more tissue details when compared with U-net-MARS. Conclusions:Both the CNN-MARS and U-net-MARS models developed in this study effectively remove the metal artifacts and enhance the image quality. CNN-MARS exhibited an advantage in restoring tissue structure information around the artifacts compared to U-net-MARS.

Background::Bladder cancer, characterized by a high potential of tumor recurrence, has high lifelong monitoring and treatment costs. To date, tumor cells with intrinsic softness have been identified to function as cancer stem cells in several cancer types. Nonetheless, the existence of soft tumor cells in bladder tumors remains elusive. Thus, our study aimed to develop a microbarrier microfluidic chip to efficiently isolate deformable tumor cells from distinct types of bladder cancer cells.Methods::The stiffness of bladder cancer cells was determined by atomic force microscopy (AFM). The modified microfluidic chip was utilized to separate soft cells, and the 3D Matrigel culture system was to maintain the softness of tumor cells. Expression patterns of integrin β8 (ITGB8), protein kinase B (AKT), and mammalian target of rapamycin (mTOR) were determined by Western blotting. Double immunostaining was conducted to examine the interaction between F-actin and tripartite motif containing 59 (TRIM59). The stem-cell-like characteristics of soft cells were explored by colony formation assay and in vivo studies upon xenografted tumor models. Results::Using our newly designed microfluidic approach, we identified a small fraction of soft tumor cells in bladder cancer cells. More importantly, the existence of soft tumor cells was confirmed in clinical human bladder cancer specimens, in which the number of soft tumor cells was associated with tumor relapse. Furthermore, we demonstrated that the biomechanical stimuli arising from 3D Matrigel activated the F-actin/ITGB8/TRIM59/AKT/mTOR/glycolysis pathways to enhance the softness and tumorigenic capacity of tumor cells. Simultaneously, we detected a remarkable up-regulation in ITGB8, TRIM59, and phospho-AKT in clinical bladder recurrent tumors compared with their non-recurrent counterparts.Conclusions::The ITGB8/TRIM59/AKT/mTOR/glycolysis axis plays a crucial role in modulating tumor softness and stemness. Meanwhile, the soft tumor cells become more sensitive to chemotherapy after stiffening, that offers new insights for hampering tumor progression and recurrence.

Bladder cancer remains the 10th most common cancer worldwide. In recent years, metformin has been found to have potential anti-bladder cancer activ-ity while high concentration of IC50 at millimolar level is needed, which could not be reached by regular oral administration route. Thus, higher efficient agent is urgently demanded for clinically treating bladder cancer. Here, by conjugating artesunate to metformin, a novel artesunate-metformin dimer triazine derivative AM2 was designed and synthesized. The inhibitory effect of AM2 on bladder cancer cell line T24 and the mechanism underlying was determined. Anti-tumor activity of AM2 was assessed by MTT, cloning formation and wound healing assays. Decreasing effect of AM2 on lipogenesis was determined by oil red O staining. The protein expressions of Clusterin, SREBP1 and FASN in T24 cells were evaluated by Western blotting. The results show that AM2 significantly inhibited cell proliferation and migration at micromolar level, much higher than parental metformin. AM2 reduced lipogenesis and down-regulated the expressions of Clusterin, SREBP1 and FASN. These results suggest that AM2 inhibits the growth of bladder cancer cells T24 by inhibiting cellular lipogenesis associated with the Clusterin/SREBP1/FASN signaling pathway.

Zedoary tumeric (Curcumae Rhizoma, Ezhu in Chinese) has a long history of application and has great potential in the treatment of liver cancer. The antiliver cancer effect of zedoary tumeric depends on the combined action of multiple pharmacodynamic substances. In order to clarify the specific mechanism of zedoary tumeric against liver cancer, this paper first analyzes the mechanism of its single pharmacodynamic substance against liver cancer, and then verifies the joint anti liver cancer mechanism of its “pharmacodynamic group”. By searching the research on the antihepatoma effect of active components of zedoary tumeric in recent years, we found that pharmacodynamic substances, including curcumol, zedoarondiol, curcumenol, curzerenone, curdione, curcumin, germacrone, β-elemene, can act on multi-target and multi-channel to play an antihepatoma role. For example, curcumin can regulate miR, GLO1, CD133, VEGF, YAP, LIN28B, GPR81, HCAR-1, P53 and PI3K/Akt/mTOR, HSP70/TLR4 and NF-κB. Wnt/TGF/EMT, Nrf2/Keap1, JAK/STAT and other pathways play an antihepatoma role. Network pharmacological analysis showed that the core targets of the “pharmacodynamic group” for anti-life cancer are AKT1, EGFR, MAPK8, etc, and the core pathways are neuroactive live receiver interaction, nitrogen metabolism, HIF-1 signaling pathway, etc. At the same time, by comparing and analyzing the relationship between the specific mechanisms of pharmacodynamic substance and “pharmacodynamic group”, it is found that they have great reference significance in target, pathway, biological function, determination of core pharmacodynamic components, formation of core target protein interaction, in-depth research of single pharmacodynamic substance, increasing curative effect and so on. By analyzing the internal mechanism of zedoary tumeric pharmacodynamic substance and “pharmacodynamic group” in the treatment of liver cancer, this paper intends to provide some ideas and references for the deeper pharmacological research of zedoary tumeric and the relationship between pharmacodynamic substance and “pharmacodynamic group”.

Objective:To test the reliability and validity of Urban empty-nesters Home Safety Risk Factor Assessment Scale (Uen-HAS), in order to provide an instrument for assessing the safety risk factors of urban empty-nesters.Methods:Totally 530 urban empty-nesters from Fuzhou City, Fujian Province were employed by convenient sampling method for household survey, from August to October 2018. Item analysis and validity and reliability test were conducted.Results:The final version of urban empty nest elderly home safety risk factor assessment scale (Uen-HAS) contains 5 scales, 12 sub-scales and 55 items. The Cronbach α coefficient of the scale was 0.896. The content validity index (S-CVI) of the total scale was 0.881. The correlations of the scores between each item and the total scale ranged from 0.509 to 0.812 with statistical significance ( P<0.05). Conclusion:The scale has good reliability and validity. It could be an instrument to access safety risk factors of urban empty nesters.