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ObjectiveTo investigate the clinical efficacy of Gandouling tablet （GDL） on abnormal lipid metabolism in Wilson's disease （WD） and the correlation between the prediction model of hepatic steatosis and the related indexes of lipid metabolism in WD. MethodA total of 86 patients with abnormal lipid metabolism in WD were selected. The 24-hour urine copper， alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， serum triglyceride （TG）， total cholesterol （TC）， apolipoprotein B （ApoB）， low density lipoprotein cholesterol （LDL-C）， bile acid （BA）， γ-glutamyl transferase （GGT）， prediction model of hepatic steatosis ［hepatic steatosis index （HSI） and Zhejiang University index （ZJU index）］， ultrasonic attenuation coefficient imaging （ATT）， and traditional Chinese medicine （TCM） syndrome score were statistically analyzed before treatment. Pearson correlation test was used to analyze the correlation between TG， TC， LDL-C， ApoB， ALT， AST， ALT/AST， BA， GGT， TCM syndrome score， ATT， and HIS and ZJU. The patients were divided into an observation group and a control group by random number table method， with 43 cases in each group. The observation group was treated with GDL combined with sodium dimercaptopropane sulfonate （DMPS）， while the control group was only treated with DMPS as a control. After six courses of treatment， 24-hour urine copper， TC， TG， LDL-C， ApoB， HSI， ZJU， ATT， TCM syndrome score， and clinical efficiency before and after treatment were observed and compared between the two groups. The correlation between HSI and ZJU and serum TC， TG， LDL-C， ApoB， ALT， AST， ALT/AST， BA， GGT， TCM syndrome scores， and ATT was analyzed. ResultPearson correlation analysis showed that serum TC （r = 0.811）， TG （r = 0.826）， LDL-C （r = 0.802）， ApoB （r = 0.820）， ALT （r = 0.497）， ALT/AST （r = 0.826）， TCM syndrome score （r = 0.716）， and ATT （r = 0.736） were positively correlated with HSI （P<0.01）， while AST， BA， and GGT had no significant correlation with HSI. TC （r = 0.718）， TG （r = 0.765）， LDL-C （r = 0.667）， ApoB （r = 0.699）， ALT/AST （r = 0.403）， TCM syndrome score （r = 0.666）， and ATT （r = 0.684） were positively correlated with ZJU （P<0.01）. ALT， AST， BA， and GGT had no significant correlation with ZJU. The total effective rate of the observation group was 86.05 （37/43）， and that of the control group was 72.09% （31/43）. The total effective rate of the observation group was higher than that of the control group （Z = -2.301， P<0.05）. After treatment， the 24-hour urine copper of the two groups increased significantly. The levels of TC， TG， LDL-C， and ApoB were significantly decreased， and the HSI， ZJU， and ATT were significantly decreased （P<0.01）. Compared with those in the control group after treatment， the above indexes improved better in the observation group （P<0.05， P<0.01）. ConclusionGDL can effectively improve the level of copper and lipid metabolism in patients with WD， with high clinical safety and good clinical application value. The prediction model of hepatic steatosis can effectively reflect the degree of abnormal lipid metabolism in WD.
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Objective To explore the prognostic factor and its predictive value of patients with Wilson disease-related acute-on-chronic liver failure(WD-ACLF).Methods The clinical data of 70 patients diagnosed as WD-ACLF admitted to the Department of Encephalopathy of the First Affiliated Hospital of Anhui University of Chinese Medicine from January 1,2017 to January 1,2022 were retrospectively collected.According to the 12-week prognosis,patients were divided into survival group(n=36)and death group(n=34).The data of the two groups were analyzed by univariate and multivariate logistic analysis to screen the prognostic risk factors and evaluate their predictive value.The model coefficient is omnibus tested,and the model-fitting degree is evaluated by the Hosmer-Lemeshow test.ROC curve was used to analyze the prognostic value for WD-ACLF between the new model and chronic liver failure-sequential organ failure assessment(CLIF-SOFA)score,model for end-stage liver disease(MELD)score and Child-Turcotte-Pugh(CTP)score.Results A total of 70 WD-ACLF patients were enrolled in present study,including 36 cases in survival group[22 males and 14 females with median age of 30.0(17.3,40.0)]and 34 cases in death group[25 males and 9 females with median age of 34.0(28.8,41.0)].Univariate analysis showed that the course of disease,prothrombin time(PT),activated partial thromboplastin time(APTT)were shorter in survival group than that in death group,the white blood cells(WBC),international normalized ratio(INR),aspartate transaminase(AST),total bilirubin(TBIL),blood urea nitrogen(BUN),creatinine(Cre)and ceruloplasmin(CER)levels and the proportion of infection,ascites,and upper gastrointestinal bleeding were lower in survival group than those in death group,however,the proportion of infection,ascites and upper digestive bleeding in the survival group were lower than those in the death group.Meanwhile,the red blood cells(RBC),hemoglobin(Hb),Na+ and total cholesterol(TC)level in the survival group were higher than those in the death group(P<0.05 or P<0.01).The results of multivariate logistic regression analysis showed that disease course(OR=1.176,95%CI 1.043-1.325),INR(OR=7.635,95%CI 1.767-32.980),TBIL(OR=1.012,95%CI 1.003-1.021),and upper gastrointestinal bleeding(OR=11.654,95%CI 1.029-131.980)were independent risk factors affecting the prognosis of WD-ACLF(P<0.05).Based on the results of logistic regression analysis,a joint model for predicting the prognosis of WD-ACLF was established.The AUC of the model for evaluating the prognosis of WD-ACLF was 0.941,which was greater than the CLIF-SOFA score(AUC=0.802),MELD score(AUC=0.897),and CTP score(AUC=0.722).Conclusions The course of disease,TBIL,INR,and upper gastrointestinal bleeding are risk factors that affect the prognosis of WD-ACLF.The prognosis model established based on this can more accurately predict the prognosis of WD-ACLF patients,and its predictive value is superior to CLIF-SOFA score,MELD score,and CTP score.
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Objective To explore the predictive value of the enhanced CT imaging-based radiomics model and the clinical model for the serosal invasion in advanced gastric cancer.Methods The data were collected from 351 patients with advanced gastric cancer who underwent abdominal enhanced CT examination within 2 weeks before surgery,and the patients were randomly divided into a training group(n=247)and a validation group(n=104)in a ratio of 7:3.The 3190 radiomics features which were extracted from the arterial and venous phase CT images using A.K software were dimensionally reduced for constructing a radiomics model.The pathological features between serosal invasion positive and negative groups were compared,and the significant features were used to establish a clinical model.The model's performance was evaluated using receiver operating characteristic curve.Results In the training and validation groups,N staging and M staging were different in serosal invasion positive and negative groups(P<0.05).A total of 14 radiomic features were ultimately selected from the arterial and venous phase images.In the validation group,the diagnostic efficacy of the radiomic model for predicting serosal invasion in advanced gastric cancer was higher than that of the clinical model based on the combination of N staging and M staging(AUC:0.854 vs 0.793).Conclusion Both the radiomics model based on the enhanced CT imaging and the clinical model based on the combination of N staging and M staging can successfully predict serosal invasion in advanced gastric cancer,but the former performs better.
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Objective:To establish a green fluorescent protein(GFP)and firefly luciferase(Luc)double-labeled Epstein-Barr virus(EBV)infec-ted B lymphoblastoid cell lines(B-LCL)and apply them to mouse models,then compare the advantages and disadvantages of models inocu-lated by intravenous(IV)or subcutaneous(SC).Methods:B lymphoblastoid cell lines double-tagged with GFP/Luc(B-LCL-GL)were con-structed through lentivirus transduction,puromycin intervention.Subcutaneous xenograft and hematogenous metastasis models were re-spectively established by subcutaneous or intravenous injection of B-LCL-GL cells at three concentrations in(NOD)/Prkdcscid/IL-2Rγnull(NPG)mice for in vivo bioluminescence imaging.Results:In the B-LCL-GL group,the ratio of the GFP-positive cell population was 92.5%,and the average luminescence intensity was as high as 4.80E+08 Photons/s,which was considerably higher than that of untreated B-LCLs.In the hematogenous metastasis models,tumor bioluminescence was initially located in the peritoneal area and then spread throughout the en-tire body between 7 and 28 days.In the subcutaneous xenograft models,strong central and weak peripheral tumor-related biolumines-cence signal was detected on day 7 in the three groups,which then spread throughout the body on day 28 in the high-dose group.Taken to-gether,there was no significant difference in tumor progression between the two routes of administration when using the same dose of B-LCL-GL cells.However,the survival analysis indicated that the IV injection group,in which all the mice ultimately died,had a shorter time frame for testing than that of the SC injection group,in which the mice survived until day 100 in the low-dose and medium-dose groups,thus allowing for long-term testing.Conclusions:GFP and Luc dual-positive B-LCLs were successfully established to generate hematogenous metastasis and subcutaneous xenograft models,which allow the monitoring of the location and size of lymphomas in vivo.It provide plat-form for the study of tumor characteristics and selecting anti-tumor drugs.
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Most drugs need to interact with cell membrane to reach the biological target, so that membrane affinity assay is an important early screening step in drug discovery. However, at present, the traditional oil-water distribution method is still used, a new, simple and accurate method for membrane affinity assay is urgently needed. In this study, according to the colorimetric principle, a new assay model based on polydiacetylene vesicles was optimized through a series of experiments including different concentrations of vesicle solution, temperature, or pH reaction environment. On this basis, tetracaine hydrochloride, 2-methylimidazole and histamine were used as model drugs to measure the membrane affinity constants and verify the between-batch precision of the optimized assay model (relative standard deviation less than 5%). In addition, polydiacetylene vesicles were stable for up to 180 days, demonstrating the potential application of the assay model. This strategy is simple, stable, reliable, with high reproducibility, low cost and easy to promote, which provided a new tool and a new direction for the high-throughput assay of membrane affinity.
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Objective: To investigate the impact of molecular classification and key oncogenes on the oncologic outcomes in patients with endometrial carcinoma (EC) and atypical endometrial hyperplasia (AEH) receiving fertility-preserving treatment. Methods: Patients with EC and AEH undergoing progestin-based fertility-preserving treatment and receiving molecular classification as well as key oncogenes test at Obstetrics and Gynecology Hospital, Fudan University from January 2021 to March 2023 were reviewed. Hysteroscopic lesion resection and endometrial biopsy were performed before initiating hormone therapy and every 3 months during the treatment to evaluate the efficacy. The risk factors which had impact on the treatment outcomes in EC and AEH patients were further analyzed. Results: Of the 171 patients analyzed, the median age was 32 years, including 86 patients with EC and 85 patients with AEH. The distribution of molecular classification was as follows: 157 cases (91.8%) were classified as having no specific molecular profile (NSMP); 9 cases (5.3%), mismatch repair deficient (MMR-d); 3 cases (1.8%), POLE-mutated; 2 cases (1.2%), p53 abnormal. No difference was found in the cumulative 40-week complete response (CR) rate between the patients having NSMP or MMR-d (61.6% vs 60.0%; P=0.593), while the patients having MMR-d had increased risk than those having NSMP to have recurrence after CR (50.0% vs 14.4%; P=0.005). Multi-variant analysis showed PTEN gene multi-loci mutation (HR=0.413, 95%CI: 0.259-0.658; P<0.001) and PIK3CA gene mutation (HR=0.499, 95%CI: 0.310-0.804; P=0.004) were associated with a lower cumulative 40-week CR rate, and progestin-insensitivity (HR=3.825, 95%CI: 1.570-9.317; P=0.003) and MMR-d (HR=9.014, 95%CI: 1.734-46.873; P=0.009) were independent risk factors of recurrence in EC and AEH patients. Conclusions: No difference in cumulative 40-week CR rate is found in the patients having NSMP or MMR-d who received progestin-based fertility-preserving treatment, where the use of hysteroscopy during the treatment might be the reason, while those having MMR-d have a higher risk of recurrence after CR. Oncogene mutation of PTEN or PIK3CA gene might be associated with a lower response to progestin treatment. The molecular profiles help predict the fertility-preserving treatment outcomes in EC and AEH patients.
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Pregnancy , Female , Humans , Adult , Hyperplasia , Progestins , Fertility Preservation , Endometrial Neoplasms/pathology , Endometrial Hyperplasia/surgery , Treatment Outcome , Precancerous Conditions , Fertility , Class I Phosphatidylinositol 3-Kinases , Retrospective StudiesРеферат
Aim To investigate the mechanism of corn silk decoction on diabetic nephropathy (DN) rats using metabolomics technology. Methods DN rat model was established by feeding with high-sugar and high-fat diet, combined with intraperitoneal injection of low dose streptozotocin. Renal organ index, fasting blood glucose, albumin creatinine ratio, serum creatinine, blood urea nitrogen, triglyceride, total cholesterol, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol indexes were measured, and the pathological changes of renal tissues were also observed to evaluate the intervention effect of corn silk on DN model rats. Further, UPLC/Q-TOF-MS technology was used to screen potential biomarkers in renal tissues and urine, combined with principal component analysis (PC A) and orthogonal partial least squares discriminant analysis (OPLS-DA). After identification by HM-DB and KEGG database, the biomarkers were imported into MetaboAnalyst for metabolic pathway analysis. Results All indexes and pathological damage of kidneys were improved in groups with different doses of corn silk, indicating that corn silk had a good intervention effect on DN. Metabolomic analysis showed that 18 biomarkers could be significantly called back by corn silk, and it involved 18 metabolic pathways mainly including phenylalanine, tyrosine and tryptophan biosynthesis, riboflavin metabolism, arachidonic acid metabolism, and tyrosine metabolism. Conclusions The mechanism of corn silk decoction intervention on DN may be related to amino acid metabolism, riboflavin metabolism, and arachidonic acid metabolism.
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Discipline construction is the core of hospital development. Under the initiative to build " first-class universities and disciplines" , in order to speed up the construction of first-class hospitals, a university-affiliated hospital carried out discipline construction management by optimizing top-level design, discipline differentiation development, evaluation index system construction and strengthening its application, and carrying out process management in the form of project system.In 2018, the hospital levelled its individual disciplines as leading ones, advantageous ones, backbone ones, backbone promising ones and potential ones, each granted with corresponding funding support. Medians of the disciplinary construction scoring of disciplines at various levels from 2015 to 2018 were used as the standard scoring in examinations in the next two years(2019 and 2020), guiding the disciplines to upgrade their design for discipline construction index system. The appraisal of discipline construction in 2019 and 2020 found 38 disciplines up to the standard scoring, including 16 twice higher than the scoring, while only 7 scored lower than the standard one. The hospital has made stage-based progress in discipline reputation, faculty, science research and social contribution, initially achieving effective guidance of disciplines of the hospital.
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Accurate segmentation of ground glass nodule (GGN) is important in clinical. But it is a tough work to segment the GGN, as the GGN in the computed tomography images show blur boundary, irregular shape, and uneven intensity. This paper aims to segment GGN by proposing a fully convolutional residual network, i.e., residual network based on atrous spatial pyramid pooling structure and attention mechanism (ResAANet). The network uses atrous spatial pyramid pooling (ASPP) structure to expand the feature map receptive field and extract more sufficient features, and utilizes attention mechanism, residual connection, long skip connection to fully retain sensitive features, which is extracted by the convolutional layer. First, we employ 565 GGN provided by Shanghai Chest Hospital to train and validate ResAANet, so as to obtain a stable model. Then, two groups of data selected from clinical examinations (84 GGN) and lung image database consortium (LIDC) dataset (145 GGN) were employed to validate and evaluate the performance of the proposed method. Finally, we apply the best threshold method to remove false positive regions and obtain optimized results. The average dice similarity coefficient (DSC) of the proposed algorithm on the clinical dataset and LIDC dataset reached 83.46%, 83.26% respectively, the average Jaccard index (IoU) reached 72.39%, 71.56% respectively, and the speed of segmentation reached 0.1 seconds per image. Comparing with other reported methods, our new method could segment GGN accurately, quickly and robustly. It could provide doctors with important information such as nodule size or density, which assist doctors in subsequent diagnosis and treatment.
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Humans , Algorithms , China , Disease Progression , Multiple Pulmonary Nodules , Neural Networks, Computer , Tomography, X-Ray Computed/methodsРеферат
ObjectiveTo observe the clinical efficacy of Gandou Fumu granules （GDFM） in the treatment of Wilson disease （WD） with liver-kidney deficiency and phlegm-blood stasis. MethodNinety WD patients in The First Affiliated Hospital of Anhui University of Chinese Medicine were randomly divided into a control group （45 cases） and a treatment group （45 cases）. All patients were treated with sodium 2，3-dimercaptopropane-1-sulfonate （DMPS）， while those in the treatment group received additional GDFM. All patients were treated for four courses （32 days）. The traditional Chinese medicine （TCM） syndrome scores，clinical effective rate，24 h urinary copper，ceruloplasmin （CER），tumor necrosis factor-α（TNF-α），interleukin-1β（IL-1β），interleukin-6 （IL-6），superoxide dismutase （SOD），glutathione peroxidase （GSH-Px） and malondialdehyde （MDA） levels of the two groups before and after treatment were observed. ResultAfter treatment， the TCM syndrome scores of the two groups decreased （P<0.01），and the score of TCM syndrome in the treatment group was lower than that of the control group （P<0.01）. The total effective rate of the treatment group was 82.22% （37/45）， higher than 57.78% （26/45） of the control group （χ2=6.402，P<0.05）. There was no significant difference in CER before and after treatment in both groups. The post-treatment 24 hour urinary copper increased （P<0.01）， which was higher in the treatment group than that in the control group （P<0.05）. The TNF-α，IL-1β， and IL-6 levels were significantly reduced in both groups after treatment（P<0.01），and the above indicators in the treatment group were significantly lower than those in the control group （P<0.01）. After treatment，the SOD level increased and the MDA level decreased in the control group （P<0.01）， while no significant difference in GSH-Px level was observed. The SOD and GSH-Px levels increased and the MDA level decreased in the treatment group （P<0.01）. After treatment， SOD and GSH-Px levels of the treatment group were higher than those in the control group， while the MDA level was lower than that in the control group（P<0.05，P<0.01）. ConclusionGDFM can improve the TCM syndrome score and clinical efficacy，enhance the copper removing effect，and inhibit the inflammatory response and antioxidative stress in the treatment of WD with liver and kidney deficiency and phlegm-blood stasis.
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Objective:To explore the effect of Gandou Fumu decoction （GDFMD） on the oxidative damage of HepG2 cells induced by CuCl<sub>2 </sub>based on the phosphatidylinositol 3-kinase/protein kinase B/mammalian target of rapamycin （PI3K/Akt/mTOR） signaling pathway. Method:CuCl<sub>2</sub> （200 μmol·L<sup>-1</sup>） was used to induce a copper-loaded HepG2 cell model. HepG2 cells were divided into a blank group （HepG2 cells + blank rat serum）， a model group （HepG2 cells + CuCl<sub>2</sub> + normal rat serum）， a GDFMD group （HepG2 cells + CuCl<sub>2</sub> + GDFMD-medicated rat serum）， an inhibitor group （HepG2 cells + NVP-BEZ235 + normal rat serum）， and a GDFMD + NVP-BEZ235 group （HepG2 cells + NVP-BEZ235 + GDFMD-medicated rat serum）. ELISA method was used to determine superoxide dismutase （SOD）， glutathione peroxidase （GSH-Px） activity， and malondialdehyde （MDA） content. The expression of microtubule-associated protein 1 light chain 3 （LC3） was detected by immunofluorescence. Phospho-PI3K/PI3K （p-PI3K/PI3K）， p-Akt/Akt， p-mTOR/mTOR， Beclin-1， LC3Ⅱ/LC3Ⅰ， and p62/Actin were determined by Western blot. PI3K， Akt， mTOR， Beclin-1， LC3Ⅰ， LC3Ⅱ， p62 mRNA expression was measured by real-time polymerase chain reaction （PCR）. Result:Compared with the blank group， the model group displayed decreased activities of SOD and GSH-Px and increased content of MDA （<italic>P</italic><0.01）. Compared with the model group， the GDFMD group showed elevated activities of SOD and GSH-Px and reduced content of MDA （<italic>P</italic><0.05， <italic>P</italic><0.01）， while the inhibitor group exhibited weakened GSH-Px activity and up-regulated content of MDA （<italic>P</italic><0.05）. Compared with the blank group， the model group showed diminished expression of p-PI3K/PI3K， p-Akt/Akt， p-mTOR/mTOR， and p62， and increased expression of Beclin-1 and LC3Ⅱ/LC3Ⅰ （<italic>P</italic><0.01）. The expression of p-PI3K/PI3K， p-Akt/Akt， p-mTOR/mTOR， and p62 was elevated， and the expression of Beclin-1 and LC3Ⅱ/LC3Ⅰ declined in the GDFMD group （<italic>P</italic><0.05，<italic> P<</italic>0.01）， while the p-PI3K/PI3K and p-mTOR/mTOR expression was down-regulated and the Beclin-1 and LC3Ⅱ/LC3 I expression was increased in the inhibitor group （<italic>P</italic><0.05， <italic>P<</italic>0.01） as compared with those in the model group. Compared with the GDFMD group， the GDFMD + NVP-BEZ235 group showed down-regulated expression of p-Akt/Akt and p-mTOR/mTOR and up-regulated expression of Beclin-1 and LC3Ⅱ/LC3Ⅰ（<italic>P</italic><0.05， <italic>P</italic><0.01）. The expression of LC3Ⅱ protein in the model group was increased （<italic>P</italic><0.01） as compared with that in the blank group. The expression of LC3Ⅱ protein was lower in the GDFMD group than in the model group， and higher in the GDFMD + NVP-BEZ235 group than in the GDFMD group. No significant difference in the expression of PI3K， Akt， and mTOR mRNA was observed among the groups. Compared with the blank group， the model group displayed lowered expression of p62 mRNA， and elevated expression of Beclin-1， LC3Ⅰ， and LC3Ⅱ mRNA （<italic>P</italic><0.01）. Compared with the model group， the GDFMD group exhibited increased expression of p62 mRNA， and declining expression of Beclin-1， LC3Ⅰ， and LC3Ⅱ mRNA （<italic>P</italic><0.01）， while the inhibitor group showed increased expression of Beclin-1 mRNA （<italic>P</italic><0.05）. The expression of Beclin-1 and LC3Ⅱ mRNA in the GDFMD + NVP-BEZ235 group was elevated （<italic>P</italic><0.01） as compared with that in the GDFMD group. Conclusion:GDFMD may inhibit the excessive autophagy and alleviate the oxidative damage of HepG2 cells induced by CuCl<sub>2</sub>， with the underlying mechanism related to the activation of PI3K/Akt/mTOR signalling pathway.
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Objective:Analyze the basic information and characteristics of SCI papers published by an institution in 2015-2019 based on the Category Normalized Citation Impact (CNCI), to provide a reference basis for SCI paper management policy improvement.Methods:Retrieve SCI papers completed by the first or correspondent unit from 2015 to 2019 from the scientific research management system of the institution. Obtain index data including journal information, impact factors, and CNCI of this group of papers from Web of science and InCites databases, and use SPSS21.0 statistical software to perform descriptive and chi-square tests.Results:The university-affiliated hospital published 3201 SCI papers from 2015-2019, with a growing trend. These papers were most frequently published in the 1<IF<3 zone, accounted for 44.92%, followed by the 3<IF<5 zone, accounted for 32.27%. These papers are mainly in Q2 journals, accounted for 31.52%, while Q1 and Q3 journals each account for 25%. From the perspective of CNCI, the average CNCI of papers in 2015-2017 was less than 1, and the average CNCI of papers in 2018-2019 was greater than 1, with no statistical difference in CNCI values between years. The proportion of high CNCIs was higher for papers with high IF. The average CNCI per page for papers in Q1 and Q2 was greater than 1, and the average CNCI per page for papers in Q3 and Q4 was less than 1. The proportion of high CNCIs was higher for papers in Q1.Conclusions:The evaluation conclusions reached under different research management perspectives are in-consistent. A comprehensive evaluation of papers based on journal divisions and CNCI is more reasonable. In a new era where indicators such as number of papers and impact factor are not the only thing that matters, it is relevant to select the top journals in the discipline and to apply comprehensive evaluation indicators such as CNCI to the evaluation of papers.
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In this experiment, ultra high performance liquid chromatography-quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS) was used to analyze and identify chemical constituents of Ginseng-Douchi(GD) compound fermentation, and explore the conversion rules of ginsenosides and soybean isoflavones after compound fermentation. Waters Acquity UPLC BEH C_(18) column(2.1 mm×100 mm, 1.7 μm) was adopted, with 0.1% formic acid aqueous solution(A)-0.1% formic acid acetonitrile solution(B) as mobile phase for gradient elution; electrospray ion source(ESI) was used to collect data in positive and negative ion modes; according to the exact mass number, the secondary spectrum comparison of the database and the existing literature reports, Peakview 2.0/masterview 1.0 software was used to determine the common ion structure formula. Finally, a total of 133 chemical constituents were analyzed and identified from the GD. Ginseng saponins and isoflavone glycosides were significantly converted after fermentation. Among them, peak areas of prototype ginsenosides Rk_3, Rh_1, Rh_2, Rh_3, daidzin, glycitin and genistin decreased significantly; whereas peak areas of se-condary ginsenoside Rb_1, Rb_2, Rk_1, glycitein, genistein and daidzein increased significantly. In this experiment, liquid-mass spectrometry technique was used to investigate the conversion of active ingredients of GD compound fermented products after co-fermentation, so as to provide a scientific basis for elucidating pharmacodynamics material basis and quality control.
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Chromatography, High Pressure Liquid , Drugs, Chinese Herbal , Fermentation , Panax , Tandem Mass SpectrometryРеферат
Objective:To investigate the prevalence of chronic kidney disease(CKD)in community of Suzhou and explore the comorbid health conditions.Methods:The population over 60 years old undergoing health physical examination in community of Suzhou were selected as screening subjects for CKD.Examination data were collected, and other health data were obtained through residents' health records and chronic disease management systems.A total of 7 387 participants were enrolled.Results:In the population of 7 387 individuals, detected cases with CKD were 2 771, with detection rate of 37.5%, awareness rate of 13.9%.The 2 521 patients(91.0%=2 521/2 771 of total CKD patients)with CKD 1-2 stage, and 2222 patients(80.2%=2 222/2 771)with low and medium risk were detected out.The detection rates of CKD were significantly higher in group with hypertension, diabetes, hyperuricemia, hyperlipidemia, obesity and stroke than in the group without those diseases(all P<0.05). With the increase of the number of comorbidity in patients with CKD, the detection rate of CKD was increased( χ2=74.658, P<0.001). In a total of 2771 CKD patients, 33.6% had 1 comorbid condition, 23.4% had two comorbid conditions, and 19.8% had 3 or more comorbid conditions.In the declined-eGFR group, patients with three or more comorbid conditions accounted for 34.0%, which was significantly higher than that in the normal-eGFR group(18.4%)( χ2=35.042, P<0.001). Multivariate Logistic regression analysis revealed that women, advanced age, hypertension and having 3 or more comorbid conditions were independent influencing factors for the CKD detection rate.People with three or more comorbid conditions had a 1.58-fold increased risk for developing CKD as compared with those without comorbid condition(95% CI: 1.30-1.91, P<0.001). Conclusions:The prevalence of CKD in Suzhou community elderly population is high, but the awareness rate is low.A large number of early and low-and moderate-risk of CKD patients have been detected out.Comorbid conditions are prevalent in older patients with CKD.With the decrease of renal function, the number of comorbidity in CKD patients significantly increased.Early screening for CKD in the elderly population is very necessary, especially in those with hypertension and 3 or more comorbid conditions.
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BACKGROUND@#The transforming growth factor β1 (TGF-β1)-induced epithelial-mesenchymal transition (EMT) has been proven associated with the pathogenesis of asthmatic airway remodeling, in which the Wnt/β-catenin pathway plays an important role, notably with regard to TGF-β1. Recent studies have shown that 1α, 25-dihydroxyvitamin D3(1α, 25(OH)2D3) inhibits TGF-β1-induced EMT, although the underlying mechanism have not yet been fully elucidated.@*METHODS@#Alveolar epithelial cells were exposed to 1α, 25(OH)2D3, ICG-001, or a combination of both, followed by stimulation with TGF-β1. The protein expression of E-cadherin, α-smooth muscle actin, fibronectin, and β-catenin was analyzed by western blotting and immunofluorescence analysis. The mRNA transcript of Snail was analyzed using RT-qPCR, and matrix metalloproteinase 9 (MMP-9) activity was analyzed by gelatin zymogram. The activity of the Wnt/β-catenin signaling pathway was analyzed using the Top/Fop flash reporters.@*RESULTS@#Both 1α, 25(OH)2D3 and ICG-001 blocked TGF-β1-induced EMT in alveolar epithelial cells. In addition, the Top/Fop Flash reporters showed that 1α, 25(OH)2D3 suppressed the activity of the Wnt/β-catenin pathway and reduced the expression of target genes, including MMP-9 and Snail, in synergy with ICG-001.@*CONCLUSION@#1α, 25(OH)2D3 synergizes with ICG-001 and inhibits TGF-β1-induced EMT in alveolar epithelial cells by negatively regulating the Wnt/β-catenin signaling pathway.
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Objective::To observe the clinical efficacy of Gandouling decoction on hepatic function of patients with phlegm and blood stasis type Wilson's disease. Method::From January 2015 to December 2017, totally 72 cases of phlegm and blood stasis type Wilson's disease admitted to Encephalopathy Center in the First Affiliated Hospital of Anhui University of Chinese Medicine were randomly divided into treatment group and control group, with 36 cases in each group. Patients in both groups were injected with sodium dimercaptopropane sulfonate for routine treatment. At the same time, patients in control group received Hugan Tablets, and patients in treatment group received Gandouling decoction for a total of 6 treatment courses. Before and after treatment, traditional Chinese medicine(TCM)syndrome effective rate, serum enzyme index [alanine aminotransferase(ALT), aspartate aminotransferase (AST), alkaline phosphatase(AKP)], bilirubin metabolism index [total bilirubin(TBIL)], liver fibrosis index [laminin(LN), hyaluronic acid(HA), collagen type IV(CⅣ), procollagen type Ⅲ peptide(PⅢP)]and blood coagulation index [fibrinogen (FBG), prothrombin time (PT), activated partial thromboplastin time (APTT), thrombin time (TT) ]were observed. Result::TCM syndrome effective rates of treatment group and control group were 86.11%(31/36) and 63.98%(23/36) respectively, with a significant difference between two groups (P<0.05). ALT, AST, AKP, TBIL decreased in two groups after treatment (P<0.01), and the effects of ALT, AST, AKP, TBIL in treatment group were significantly better than those in control group (P<0.01), liver fibrosis index decreased in both groups after treatment (P<0.01), and the effect in treatment group was significantly better than that in control group (P<0.01). Blood coagulation indexes were improved to different degrees in both groups (P<0.05, P<0.01), and there were significant differences between treatment group and control group in decreasing PT, APTT, TT levels (P<0.05, P<0.01) and increasing FBG level (P<0.01). Conclusion::Gandouling decoction can significantly improve hepatic function of patients with phlegm and blood stasis type Wilson's disease, which is manifested in improving serum enzymes and bilirubin indexes, reversing liver fibrosis, promoting clotting factors and reducing bleeding tendency, in order to delay the progress of the disease and improve the life quality of patients.
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In recent years, deep learning has provided a new method for cancer prognosis analysis. The literatures related to the application of deep learning in the prognosis of cancer are summarized and their advantages and disadvantages are analyzed, which can be provided for in-depth research. Based on this, this paper systematically reviewed the latest research progress of deep learning in the construction of cancer prognosis model, and made an analysis on the strengths and weaknesses of relevant methods. Firstly, the construction idea and performance evaluation index of deep learning cancer prognosis model were clarified. Secondly, the basic network structure was introduced, and the data type, data amount, and specific network structures and their merits and demerits were discussed. Then, the mainstream method of establishing deep learning cancer prognosis model was verified and the experimental results were analyzed. Finally, the challenges and future research directions in this field were summarized and expected. Compared with the previous models, the deep learning cancer prognosis model can better improve the prognosis prediction ability of cancer patients. In the future, we should continue to explore the research of deep learning in cancer recurrence rate, cancer treatment program and drug efficacy evaluation, and fully explore the application value and potential of deep learning in cancer prognosis model, so as to establish an efficient and accurate cancer prognosis model and realize the goal of precision medicine.
Тема - темы
Humans , Deep Learning , Neoplasms , Precision Medicine , PrognosisРеферат
Objective:To explore the feasibility and effect of establishing a hierarchical management model based on scientific research performance assessment.Methods:In our hospital, each department was classified as one of the four levels based on the scientific research performance: leading disciplines, dominant disciplines, backbone disciplines or developing disciplines.Continuing assessment was conducted to monitor the discipline development.Results:There were 41 departments in the hospital, including 5 leading disciplines, 9 dominant disciplines, 14 backbone disciplines and 7 developing disciplines. After two years of construction, more than 200 national-level projects have been funded, and the total funding number is nearly 200 million Yuan.30 national or provincial-level scientific and technological achievements awards have been awarded. 213 patents have been granted.More than 1 000 SCI papers were published. The number of major key projects has been continuously increased.Conclusions:Establishing a hierarchical management model based on scientific research performance assessment plays a positive role in scientific research.
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Objective:To evaluate the regulation effect of corn silk on fatty acid compositions in adipose tissues of rats with type 2 diabetes mellitus（T2DM） based on gas chromatography-mass spectrometry （GC-MS）， and explore the mechanism of corn silk water decoction for lipid metabolism disorder in . Method:Rat model of T2DM was established by high-sugar and high-fat diet combined with intraperitoneal injection of 35 mg·kg-1 streptozocin （STZ）. They were randomly divided into model group，metformin group，and low，medium and high dose groups（5.4，10.8，21.6 g·kg-1） of corn silk decoction， with administration of 4 weeks. Serum was taken from the abdominal aorta for the determination of free fatty acids （FFAs），blood lipids ［total cholesterol（TC），triglyceride（TG），high-density lipoprotein（HDL-C），low density lipoprotein（LDL-C）］，and adipose tissue was taken for pathological section analysis. At the same time，GC-MS technology and multivariate statistical analysis methods were adopted to investigate the fatty acid compositions in adipose tissue. Result:After treatment with corn silk decoction，the contents of FFAs，TC，TG，HDLC and LDLC in T2DM rats were all reversed. As compared with the model group，the morphology of rat adipocytes，macrophage infiltration，vascular congestion and other phenomena were restored after administration. GC-MS analysis showed that the contents of palmitic acid and stearic acid in the adipose tissue of T2DM rats were significantly increased，while the contents of tetradecanoic acid，pentadecanoic acid，9-octadecenoic acid，9-hexadecenoic acid and 5，8，11，14-eicosatetraenoic acid were decreased significantly，and all the dose groups of corn silk had a reversing effect on differentially expressed fatty acids. Conclusion:Corn silk can be able to reverse the fatty acid content in adipose tissue and restore the morphology of adipose tissue，with a regulating effect on the lipid metabolism disorder in T2DM rats.
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Objective To explore how dihydrotestosterone (DHT) affects the expression of anti-Müllerian hormone (AMH) in primary rat follicular granulosa cells, and then provides a new experimental basis for the role of DHT and AMH in follicular development. Methods Granulosa cells was extracted from the ovaries of 95 21 days SD female rats for primary culture. Firstly, cell morphology were detected by HE staining and follicke stimulating hormone receptor (FSHR) immunofluorescence detected cell purity after 48 hours of cell culture. Then, cells were randomly divided into control group (without drug intervention), 10