Effects of dihydroartemisinin (DHA) on the expression level of Alpha-7 .3 giardin mRNA in C2 Giardia lam-blia was investigated in this study to explore the damage to skeleton protein of C 2 Giardia lamblia .Giardia lamblia was culti-vated respectively for 2 ,4 ,8 ,and 12 hours with modified TYI-S-33 medium containing 100 μg/mL and 200 μg/mL DHA , while the control group performed in the same experimental conditions without DHA .The expressive quantity of Alpha-7 .3 gi-ardin mRNA was determined by using real-time reverse transcription PCR ,and then we found that the expressive quantities of Alpha-7 .3 giardin mRNA with DHA were significantly lower than those in the control group .It’s suggested that dihydroarte-misinin has obvious inhibitory effect on the expression level of Alpha-7 .3 giardin mRNA in C2 Giardia lamblia .The actions of dihydroartemisinin on skeleton protein of C2 Giardia lamblia are effective .

Objective:To construct an explainable artificial intelligence(AI) model of risk characteristics of papillary thyroid carcinoma(PTC), and to explore its value of it combined with clinical features in predicting cervical lymph node metastasis(CLNM) in PTC patients.Methods:From January 2021 to September 2022, 422 patients(422 nodules) with pathologically confirmed PTC underwent thyroidectomy and neck lymph node dissection in the Second Affiliated Hospital of Xi′an Jiaotong University were retrospectively collected, the patients were randomly divided into training set and test set according to the ratio of 7∶3. Ultrasonographic features highly correlated with PTC risk characteristics were extracted by traditional machine learning method, and an intelligent prediction model with optimal probability of risk characteristics was established. Then, a risk model for predicting CLNM of PTC patients was constructed in combination with clinical features. The diagnostic effectiveness of the model was evaluated by drawing a ROC curve and calculating the area under curve (AUC).Results:In the AI explaineable model of PTC risk characteristics in the test set, the intelligent diagnosis model of calcification based on logistic regression classification showed the highest diagnostic efficiency, with an AUC of 0.87 ( P<0.05). Compared with the probability model of risk characteristic of PTC alone, the comprehensive model combined with clinical characteristics showed higher diagnostic efficiency in predicting CLNM of PTC patients, with AUC of 0.97, diagnostic critical value of 0.15, corresponding accuracy, sensitivity and specificity of 92.65%, 92.76% and 92.54%, respectively (all P<0.05). Conclusions:The explaineble risk characteristics of PTC AI model combined with clinical features can effectively predict the cervical lymph node metastasis of PTC, and then provide effective information for clinical decision-making of PTC patients.

Objective:To compare and analyze the clinical diagnostic values of five thyroid nodule malignant risk stratification guidelines.Methods:From October 2019 to October 2021, 926 cases of patients with 1 027 thyroid nodules were recruited in the Second Affiliated Hospital of Xi ′an Jiaotong University. All nodules were categorized individually according to 2015 American Thyroid Association for Ultrasound Malignancy Risk Stratification of Thyroid Nodules in Adults Guidelines(ATA guidelines), 2016 the Korean Society of Radiology and the Korean Society of Thyroid Radiology Thyroid Imaging Reporting and Data Systems(K-TIRADS), 2017 European Thyroid Association Thyroid Imaging Reporting and Data Systems(Eu-TIRADS), 2017 American College of Radiology Thyroid Imaging Reporting and Data Systems (ACR TI-RADS), and 2020 Chinese Thyroid Imaging Reporting and Data System (C-TIRADS). The pathological results were taken as the gold standard, the malignancy ratio of nodules of different categories in each system was calculated. ROC curves were plotted to evaluate the diagnostic efficiencies of different systems, and DeLong test was used to compare the areas under ROC curves. The sensitivity and specificity of different systems were calculated when the maximum point of the Youden index was the optimal cut-off value.Results:In the same stratified system, there were statistically significant differences in the malignant proportion of nodules of different grades ( P<0.05). The malignant proportion of nodules in the high-risk group showed no significant difference among different stratified systems ( P>0.05). Except for C-TIRADS, the malignant proportion of nodules was increased with the increase of diagnostic grade at each grade of the other four stratification systems. ROC curve showed that AUCs of ATA guidelines, K-TIRADS, EU-TIRADS, ACR TI-RADS and C-TIRADS were 0.814, 0.819, 0.814, 0.820 and 0.802, respectively, there was no statistical significance in AUC of different stratification systems (all P>0.05). The optimal truncation values in differentiating benign and malignant nodules were middle-risk malignant nodules, moderately suspicious malignant nodules, middle-risk malignant nodules, class 4 and class 4B. The diagnostic of five stratification systems showed that ATA guidelines had the highest sensitivity (0.784), C-TIRADS had the highest specificity (0.854). Conclusions:The five stratified systems have similar efficacy in differentiating benign and malignant thyroid nodules, and all of them have good diagnostic value.

Objective: To obtain the optimum of lentiviral library packaging based on CRISPR/cas9 (Clustered regularly interspaced short palindromic repeat sequences/CRISPR-associated protein 9). Methods: Reverse transcription polymerase chain reaction (RT-PCR), immunofluorescence antibody (IFA) and enzyme linked immunosorbent assay (ELISA) were used to detect the lentivirus titers in condition of different ratio of packaging plasmids, different addition of lipofectamine 3000 reagent and different time points post-transfection. Then, high-throughput sequencing was performed to evaluate the representation and distribution of single guide (sg)RNAs in the library. Results: The lentivirus titer was the highest when the molar ratio of psPAX2∶pMD2.0G∶Lentivirus library was 2∶1∶1, and the optimum addition of Lipofectamine 3000 reagent was 10 μl, while the result of ELISA were correspondent to that of RT-PCR. The IFA result showed that the lentivirus titer was the highest at 60 h post-transfecion. The coverage of sgRNAs in the lentivirus library packaged with the optimum we obtained was 99.3%, and the read counts of sgRNAs was observed in a normal distribution. Conclusions The optimal lentivirus library packaging was obtained, and this can provide basis for CRISPR/cas9-based screening.

Objective:To analyze the electrocardiographic characteristics of patients with chronic pulmonary artery stenosis (PAS), and to explore their relationship with disease severity indicators.Methods:The study was a retrospective case-series analysis. Patients with chronic PAS admitted to Gansu Provincial Hospital from January 2018 to July 2021 were enrolled. The clinical data and the results of electrocardiography, transthoracic echocardiography, right cardiac catheterization, N-terminal B-type natriuretic peptide (NT-proBNP) measurement and 6-min walking distance test of patients were analyzed. The linear regression model or logistic regression model was used to analyze the relationship between electrocardiographic characteristics and the disease severity in patients with chronic PAS.Results:Sixty-three patients aged (62.1±9.7) years including 43 females (68.3%) were enrolled in the study. Among them, 62 patients (98.4%) had (R 1+S Ⅲ)-(S Ⅰ+R Ⅲ)<1.5 mV, and no patients had V 5lead R: S ratio to V 1 lead R: S<0.04 and V 6 lead R: S ratio<0.4. There were 55 patients (87.3%), with flat or inverted T-waves in V 1, and 10 patients (15.9%) with flat or inverted T-waves in all precordial leads (V 1-V 6). There were 18 patients (28.6%) with flat or inverted T-waves in inferior leads (Ⅱ, Ⅲ, aVF). Multiple liner regression analysis showed that Max R V1, 2+Max S I, aVL-S V1 combined with the number of flat or inverted T-waves in limb leads was independently correlated with atrial area ( R2=0.290, P=0.002); R V1+S V5 was independently correlated with right ventricular area ( R2=0.257, P=0.001); R peak V 1 combined with the number of flat or inverted T waves in precordial leads was independently correlated with tricuspid annular plane systolic excursion ( R2=0.407, P<0.001); (R 1+S Ⅲ)-(S Ⅰ+R Ⅲ) combined with the number of flat or inverted T waves in precordial leads was independently correlated with NT-proBNP ( R2=0.504, P<0.001); Max R V1, 2+Max S I, aVL-S V1 were independently correlated with right atrial pressure ( R2=0.803, P=0.036); (R 1+S Ⅲ)-(S Ⅰ+R Ⅲ) were independently correlated with mean pulmonary artery pressure ( R2=0.302, P<0.001); R aVRcombined with the number of flat or inverted T-waves in precordial leads was independently correlated with cardiac index ( R2=0.173, P=0.003); (R 1+S Ⅲ)-(S Ⅰ+R Ⅲ) was independently correlated with pulmonary vascular resistance ( R2=0.173, P=0.002); R peak V 1 combined with the number of flat or inverted T-waves in precordial leads was independently correlated with mixed vein oxygen saturation ( R2=0.302, P<0.001). Conclusion:The vast majority of patients with chronic PAS have (R 1+S Ⅲ)-(S Ⅰ+R Ⅲ)<1.5 mV and flat or inverted T-wave in V 1 lead, and some characteristic electrocardiographic manifestations are correlated with indicators of disease severity.

Objective: To establish a method for the simultaneous identification of Zika, Chikungunya and Mayaro viruses. Methods: The complete genome sequences of Zika, Chikungunya and Mayaro virus were retrieved from Global Shared Database for comparative analysis, estimate its conservative region and determine the target gene location, specific primers and probes were designed, then a triplex real-time RT-PCR assay was developed. The specificity, sensitivity and repeatability of the assay were assessed by viral nucleic acid of Zika virus, Chikungunya virus a, in vitro transcriptional RNA of Mayaro virus, normal human serum and related virus simulation sample. Results: The result showed that the established method could detect Zika virus, Chikungunya virus, as well as simulated Mayaro virus samples, the limit of detection (LOD) of Zika and Chikungunya virus was 16.22 Copy/PCR and 12.02 Copy/PCR, respectively, the LOD for simulated Mayaro virus RNA was 2.82 Copy/PCR, no significant difference was detected between the triplex and monoplex assays. No cross reaction was found in the detection of dengue virus, Hantavirus, severe fever with thrombocytopenia syndrome (SFTS) virus, yellow fever virus and influenza virus, and 100 healthy adults blood samples, the specificity of the method was 100%. The repeatability result showed that the standard deviation of all three detections were blow 0.5 and the coefficient of variation was less than 2% by selecting viral nucleic acids or transcribed RNA with high, medium and low concentration gradients. Conclusions A triplex real-time RT-PCR assay for detection of Zika, Chikungunya and Mayaro virus has been established with an acceptable specificity, sensitivity and repeatability.