Objective To observe the value of enhanced CT radiomics combined with deep learning(DL)algorithm for predicting cervical lymph node metastasis(CLNM)of papillary thyroid carcinoma(PTC).Methods Totally 100 patients with single PTC were retrospectively enrolled and divided into training set(n=70)and test set(n=30)at the ratio of 7∶3.The optimal radiomics features and DL features of lesions were extracted and screened based on arterial phase cervical CT,and the radiomics score(Radscore)and DL score(Deepscore)were calculated to construct radiomics model and DL model,respectively.Clinical data,routine CT findings,Radscore and Deepscore were enrolled in multivariate logistic regression analysis to screen the independent predictors of PTC CLNM,and a combined model was then constructed.The receiver operating characteristic curve was plotted,and the area under the curve(AUC)was calculated to evaluate the efficacy of each model for predicting PTC CLNM.Results Thirteen optimal radiomics features and 12 DL features were selected.Radscore(OR=1.698,P=0.002)and Deepscore(OR=1.872,P=0.021)were both independent predictors of PTC CLNM.The AUC of radiomics mode,l DL model and combined model for predicting PTC CLNM was 0.775,0.876 and 0.880 in training set,which in test set was 0.739,0.776 and 0.789,respectively.In training set,the prediction efficacy of combined model was better than that of radiomics model(Z=2.551,P=0.011).Conclusion Combined with DL algorithm could effectively increase the efficacy of enhanced CT radiomics for predict PTC CLNM.

Objective To observe the value of enhanced CT radiomics combined with deep learning(DL)algorithm for predicting cervical lymph node metastasis(CLNM)of papillary thyroid carcinoma(PTC).Methods Totally 100 patients with single PTC were retrospectively enrolled and divided into training set(n=70)and test set(n=30)at the ratio of 7∶3.The optimal radiomics features and DL features of lesions were extracted and screened based on arterial phase cervical CT,and the radiomics score(Radscore)and DL score(Deepscore)were calculated to construct radiomics model and DL model,respectively.Clinical data,routine CT findings,Radscore and Deepscore were enrolled in multivariate logistic regression analysis to screen the independent predictors of PTC CLNM,and a combined model was then constructed.The receiver operating characteristic curve was plotted,and the area under the curve(AUC)was calculated to evaluate the efficacy of each model for predicting PTC CLNM.Results Thirteen optimal radiomics features and 12 DL features were selected.Radscore(OR=1.698,P=0.002)and Deepscore(OR=1.872,P=0.021)were both independent predictors of PTC CLNM.The AUC of radiomics mode,l DL model and combined model for predicting PTC CLNM was 0.775,0.876 and 0.880 in training set,which in test set was 0.739,0.776 and 0.789,respectively.In training set,the prediction efficacy of combined model was better than that of radiomics model(Z=2.551,P=0.011).Conclusion Combined with DL algorithm could effectively increase the efficacy of enhanced CT radiomics for predict PTC CLNM.

Objective To explore the application value of a special fence in percutaneous transhepatic cholangial drainage(PTCD)under the guidance of C-arm CT.Methods A total of 43 patients who underwent PTCD were randomly divided into observation group and control group.The intervention operation in the observation group was guided by C-arm CT and located by special fence;in the control group,the intervention operation was only performed under digital subtraction angiography(DSA)fluoroscopy.Respectively,the differences in operation time,number of puncture needles and number of complications between the two groups were compared.Results The operation time,puncture times and complications in the observation group were(39.33±12.96)min,(1.67±0.80)times and 3 cases respectively;in the control group were(86.77±22.70)min,(3.41±1.26)times and 13 cases respectively;There were significant differences between the two groups(P<0.05).Conclusion The application of special fence in PTCD under the guidance of C-arm CT can short the operation time,reduce the number of punctures and reduce complications,which has important clinical application value.

Humans ; Asthma/drug therapy* ; Biological Therapy

Diabetes have been shown to cause progressive neuronal injury with pain and numbness via advanced glycation end-products (AGEs)-induced neuronal cell apoptosis; however, the valuable drug targets for diabetic neuropathy have been poorly reported so far. In this study, we discovered a natural small-molecule schisandrol A (SolA) with significant protective effect against AGEs-induced neuronal cell apoptosis. ATP6V0D1, a major subunit of vacuolar-type ATPase (V-ATPase) in lysosome was identified as a crucial cellular target of SolA. Moreover, SolA allosterically mediated ATP6V0D1 conformation via targeting a unique cysteine 335 residue to activate V-ATPase-dependent lysosomal acidification. Interestingly, SolA-induced lysosome pH downregulation resulted in a mitochondrial-lysosomal crosstalk by selectively promoting mitochondrial BH3-only protein BIM degradation, thereby preserving mitochondrial homeostasis and neuronal cells survival. Collectively, our findings reveal ATP6V0D1 is a valuable pharmacological target for diabetes-associated neuronal injury via controlling lysosomal acidification, and also provide the first small-molecule template allosterically activating V-ATPase for preventing diabetic neuropathy.

This study aimed to characterize the chemical composition of a new sulfated polysaccharide from the red alga Gracilaria chouae and evaluate its activation effects on RAW264.7 macrophages. It showed that the obtained G. chouae polysaccharide (GCP-3A) was a sulfated acidic polysaccharide with a molecular weight of 11.87 kDa. GCP-3A was composed of xylose, galactose, glucose, and mannose with a molar ratio of 3.00:29.28:0.63:0.45, and it contained α,β‍-glycosidic linkages. Scanning electron microscopy (SEM) and a Congo red test showed that it was a heterogeneous polysaccharide with irregular interwoven sheets and rods, and did not have a triple-helix conform‍ation. Furthermore, GCP-3A significantly promoted the proliferation of RAW264.7 macrophages and the secretion of nitric oxide (NO) in tests of 3-‍(4,‍5-dimethylthiahiazo-2-yl)‍-2,‍5-diphenytetrazoliumromide(MTT) and NO.
Gracilaria/chemistry* ; Macrophages ; Molecular Weight ; Polysaccharides/pharmacology* ; Sulfates/pharmacology*

Mitochondrial shape rapidly changes by dynamic balance of fusion and fission to adjust to constantly changing energy demands of cancer cells. Mitochondrial dynamics balance is exactly regulated by molecular motor consisted of myosin and actin cytoskeleton proteins. Thus, targeting myosin-actin molecular motor is considered as a promising strategy for anti-cancer. In this study, we performed a proof-of-concept study with a natural-derived small-molecule J13 to test the feasibility of anti-cancer therapeutics

Objective: To explore the imaging changes of lung lesions in patients with imported COVID-19 patients when reaching the discharge standard. Method: The clinical and CT imaging data of 60 patients with imported COVID-19 cured and discharged from January to February 2020 in Anhui Province were retrospectively collected. The clinical characteristics of the patients and the characteristics of chest CT images at discharge were analyzed. Results: Fever (57 cases) and cough (55 cases) were the main symptoms in 60 patients. At the initial diagnosis, 5 cases were mild, 53 were ordinary, and 2 were severe. In 5 light patients, 3 cases were negative in the whole course of CT examination, 2 cases were negative in the first time and abnormal in the second time. . The first CT imaging features of 55 patients (53 common type and 2 severe type)were mainly bilateral lung involvement (51 cases), multiple lesions (33 cases), more common under the pleura (40 cases), and ground glass opacities were the most common. (55 cases). The clinical features of chest CT in clinical outcomes are that the ground glass shadow in the lung gradually fades and was completely absorbed (19 cases); the scope of ground glass shadow in the lung expanded and progressed to crazy-paving, consolidation shadow, and the lesion gradually absorbs again followed by Fibrous cord shadows (27 cases); ground-glass opacities in the lungs quickly progressed to a consolidation and then slowly absorbed . Most of the lesions were accompanied by more residual fibrous cord shadows (4 cases). In 2 severe patients, the lesions in the lungs were larger ground glass, and a big amount of fibrous foci remained after slowly absorption. Conclusion Chest CT plays an important role in the diagnosis and treatment of imported COVID-19, and the degree of lung involvement seen on CT images is in good agreement with clinical outcome.

Objective:To explore the imaging changes of lung lesions in patients with imported COVID-19 when reaching the discharge standard.Methods:The clinical and CT imaging data of 60 cured patients with imported COVID-19 and discharged from January to February 2020 in Anhui Province were retrospectively collected. At the initial diagnosis, 5 cases were mild, 53 were ordinary, and 2 were severe. The clinical characteristics of the patients and the characteristics of chest CT images at discharge were analyzed.Results:Fever (57 cases) and cough (55 cases) were the main symptoms in 60 patients. In 5 mild patients, 3 cases were negative in the whole course of CT examination, 2 cases were negative in the first time and abnormal in the second time. The first CT imaging features of 55 patients (53 common type and 2 severe type) were mainly bilateral lung involvement (51 cases), multiple lesions (33 cases), more common under the pleura (40 cases), and ground glass opacities were the most common (55 cases). The features of chest CT in clinical outcomes were that the ground glass shadow in the lung gradually faded and was completely absorbed (19 cases); the scope of ground glass shadow in the lung expanded and progressed to crazy-paving, consolidation shadow, and the lesion gradually absorbed again followed by fibrous cord shadows (27 cases); ground-glass opacities in the lungs quickly progressed to a consolidation and then slowly absorbed. Most of the lesions were accompanied by more residual fibrous cord shadows (4 cases). In 2 severe patients, the lesions in the lungs were larger ground glass, and a large amount of fibrous foci remained after slow absorption.Conclusions:Chest CT plays an important role in the diagnosis and treatment of imported COVID-19, and the degree of lung involvement seen on CT images is in good agreement with clinical outcome.

Objective:To assess the association between particulate air pollution and hospital admissions for acute exacerbation of chronic obstructive pulmonary disease (AECOPD) in Beijing, and to eva-luate the differences of association among different subgroups.Methods: Hospital admissions to intertiary hospitals for AECOPD from January 1,2014, through December 31, 2015 were obtained from the electronic hospitalization summary reports (HSRs).We obtained the data on air pollution during the study period from the national air pollution monitoring system.The data on meteorological variables were obtained from the Chinese meteorological bureau.A poison generalized additive model was used to assess the effects of particulate pollution on AECOPD with adjustment for the long term trend, day of week, holiday effect and meteorological variables.Subgroup analyses were also conducted by age and gender, which would help identify higher-risk groups.Results: A total of 7 884 hospitalizations from 15 tertiary hospitals were recorded during the study period, and 69.3% were male patients, 37.1% were ≥80 years of age, 45.5% were 65-79 years of age, and 17.4% were younger than 65.The mean (SD) daily concentrations of PM2.5, PM10 were 77.1 (66.6) μg/m3, 111.9 (75.8) μg/m3.Every 10 μg/m3 increase in particulate pollution concentration for a lag of 4 d was associated with an increase in hospital admissions for AECOPD as follows: 0.53% (95% CI: 0.01%-1.06%, P=0.0478) of PM2.5, 0.53% (95% CI: 0.07%-1.00%, P=0.0250) of PM10, respectively.We found differences in risk for AECOPD admissions among the different subgroups.For every 10 μg/m3 increase in PM2.5, PM10 exposure in the female group there was a 1.13% (95% CI: 0.19%-2.07%, P=0.018 3) increase, 1.06% (95% CI: 0.22%-1.91%, P=0.013 6) increase in admissions, respectively, while in the male group, the association was non-significant.The patients of 80 years of age and older demonstrated a hi-gher risk of AECOPD, 1.25% (95% CI: 0.40%-2.11%, P=0.004 0) increase of PM2.5, 1.18% (95% CI: 0.42%-1.95%, P=0.002 4) increase of PM10, respectively, while other subgroups didn't find significant association.Conclusion: Our findings showed that particulate air pollution was significantly associated with hospital admissions for AECOPD in Beijing.The susceptibility to particulate pollution varied by gender and age.