Objective To explore the expression characteristics of BAIAP2L1 in cervical cancer (CC) and its regulatory role in tumor cell metastasis. Methods The correlation between BAIAP2L1 expression and clinical prognosis was analyzed by using a public database. GO pathway enrichment and clinicopathological correlation analyses were conducted by employing R language. The effect of BAIAP2L1 knockdown on CC cell proliferation, invasion, migration, and epithelial-mesenchymal transition (EMT) were further investigated through gene silencing approaches. Results BAIAP2L1 expression was significantly upregulated in CC tissues (P_adj <0.001) and it was identified as an independent risk factor for patient mortality (HR=2.808, P=0.03). Elevated BAIAP2L1 levels showed significant correlations with poor overall survival, advanced T/N stage, recurrence, and metastasis (all P<0.05). Functional enrichment analysis revealed its involvement in tumor metastasis-related pathways. The knockdown of BAIAP2L1 significantly attenuated CC cell proliferation, invasion, and migration and suppressed key EMT processes (all P<0.05). Conclusion BAIAP2L1 is overexpressed in CC tissues and associated with patient prognosis and metastasis. The targeted inhibition of BAIAP2L1 can effectively curb tumor progression.

Threatened abortion is a common disease of obstetrics and gynecology and one of the diseases responding specifically to traditional Chinese medicine （TCM）. The China Association of Chinese Medicine organized experts in TCM obstetrics and gynecology， Western medicine obstetrics and gynecology， and pharmacology to deeply discuss the advantages of TCM and integrated Chinese and Western medicine treatment as well as the medication plans for threatened abortion. After discussion， the experts concluded that chromosome， endocrine， and immune abnormalities were the key factors for the occurrence of threatened abortion， and the Qi and blood disorders in thoroughfare and conception vessels were the core pathogenesis. In the treatment of threatened abortion， TCM has advantages in preventing miscarriages， alleviating clinical symptoms and TCM syndromes， relieving anxiety， regulating reproductive endocrine and immune abnormalities， personalized and diversified treatment， enhancing efficiency and reducing toxicity， and preventing the disease before occurrence. The difficulty in diagnosis and treatment of threatened abortion with traditional Chinese and Western medicine lies in identifying the predictors of abortion caused by maternal factors and the treatment of thrombophilia. Recurrent abortion is the breakthrough point of treatment with integrated traditional Chinese and Western medicine. It is urgent to carry out high-quality evidence-based medicine research in the future to improve the modern diagnosis and treatment of threatened abortion with TCM.

Aim To predict and validate the mechanism of wenshen xuanbi tang(WSXBT) in treatment of osteoporosis (OP) based on network pharmacology, molecular docking techniques and in vivo experimental techniques. Methods Network pharmacology was used to screen the key ingredients and core targets of WSXBT for the treatment of osteoporosis. Metascape database was used for gene ontology (GO) biological process enrichment analysis and kyoto encyclopedia of genes and genomes (KEGG) signaling pathway enrichment analysis of core targets. AutoDockTools 1. 5. 7 software was applied in molecular docking to simulate the binding activity of key active ingredients to core targets. To study the efficacy of WSXBT on rats with osteoporosis and to verify the related targets and pathways, rat models of osteoporosis were established by excising the bilateral ovaries of rats. Enzyme-linked immunosorbent assay (ELISA) was used to detect the serum OPG, PINP and RANKL content. Biomechanical tester was applied to test the biomechanics of rat femurs. Micro-CT was applied to detect the femoral bone density. Then, Western blot was employed to measure the protein expression levels of phosphatidylinositol 3-kinase (PI3K) and protein kinase B (Akt). Results A total of 156 active ingredients of WSXBT were screened, involving 229 potential targets, 23 core targets and 145 signaling pathways. The molecular docking results showed that five key ingredients, including quercetin, kaempferol, naringenin, isobavachin and licochalcone a, possessed good binding ability to the core targets of PIK3R1 and AKT1. The results of in vivo experiments showed that WSXBT could significantly increase bone density, improve bone tissue microstructure, enhance femur biomechanics and increase PINP expression and OPG/RANKL ratio in rats with osteoporosis. Results of WB showed that WSXBT significantly increased p-PI3K/PI3K and p-Akt/Akt ratios. Conclusions WSXBT could improve bone mineral density in postmenopausal osteoporotic rats through PI3K/ Akt signaling pathway and increasing OPG/RANKL ratio.

Aim To investigate the role of metabolites of eicosapentaenoic acid (EPA) in promoting the transdifferentiation of pancreatic α cells to β cells. Methods Male C57BL/6J mice were injected intraperitoneally with 60 mg/kg streptozocin (STZ) for five consecutive days to establish a type 1 diabetes (T1DM) mouse model. After two weeks, they were randomly divided into model groups and 97% EPA diet intervention group, 75% fish oil (50% EPA +25% DHA) diet intervention group, and random blood glucose was detected every week; after the model expired, the regeneration of pancreatic β cells in mouse pancreas was observed by immunofluorescence staining. The islets of mice (obtained by crossing GCG

Objective: Poor bone quality is a risk factor for postoperative complications after degenerative lumbar fusion surgery. The magnetic resonance imaging-based vertebral bone quality (VBQ) score is a good tool for assessing bone quality, and this is the first meta-analysis performed to summarize the predictive value of the VBQ score for cage subsidence and screw loosening in patients undergoing degenerative lumbar surgery. Methods: Studies were comprehensively searched in electronic databases. The quality of the studies was assessed. The pooled sensitivity, specificity and summary receiver operating characteristic curve were calculated. Publication bias was assessed and meta-regression was conducted. Results: We ultimately included 9 studies with a total of 1,404 patients with a mean age of 60.4 years and a percentage of females of 57.0%. According to the QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies 2) tool to assess methodological quality, the quality of the included studies was relatively low and risks of bias might exist. Results showed that a high VBQ was significantly associated with cage subsidence and screw loosening, and risk factor analysis revealed that the merged odds ratio was 5.37 for cage subsidence and 3.87 for screw loosening. With a VBQ cutoff value of 3.34±0.45, the pooled sensitivity and specificity for the diagnosis of postoperative complications were 0.75 and 0.75, respectively, and the area under the curve was 0.82 (95% confidence interval, 0.78–0.85). Conclusion A high VBQ was associated with a high risk of cage subsidence and screw loosening in patients who underwent degenerative lumbar surgery. The VBQ score could be considered for identifying high-risk patients for further evaluation.

Objective:To explore the application effect of the goal-oriented and task checklist-driven method based on higher-order thinking in operating room nursing teaching.Methods:We assigned 240 nursing students who interned in the operating room of China-Japan Union Hospital of Jilin University from March 2019 to January 2023 were into control group and observation group according to the order of admission. The control group received traditional teaching, while the observation group received goal-oriented and task checklist-driven teaching based on higher-order thinking. At the end of the internship, the two groups were compared in terms of theory and skill assessment scores, comprehensive teaching feedback, and nursing quality assessment scores. SPSS 22.0 was used to perform the t-test and χ2 test. Results:In the observation group, the scores of basic theory assessment, surgical nursing assessment, basic nursing skill assessment, and operating room nursing skill assessment were (92.69±7.90) points, (93.42±7.62) points, (92.05±7.41) points, and (94.14±7.53) points, respectively, while in the control group, the scores were (85.63±7.71) points, (84.41±6.16) points, (83.86±7.53) points, and (85.05±8.13) points, respectively, showing significant differences between the two groups ( P<0.001). The observation group had significantly higher percentages of positive teaching feedback than the control group ( P<0.05). The total score and the scores of individual domains of nursing quality were significantly higher in the observation group than in the control group ( P<0.001). Conclusions:The application of the goal-oriented and task checklist-driven learning model based on higher-order thinking in operating room nursing teaching can effectively enhance the core professional competencies and higher-order clinical thinking ability of student nurse interns, thereby improving nursing quality.

Objective: Poor bone quality is a risk factor for postoperative complications after degenerative lumbar fusion surgery. The magnetic resonance imaging-based vertebral bone quality (VBQ) score is a good tool for assessing bone quality, and this is the first meta-analysis performed to summarize the predictive value of the VBQ score for cage subsidence and screw loosening in patients undergoing degenerative lumbar surgery. Methods: Studies were comprehensively searched in electronic databases. The quality of the studies was assessed. The pooled sensitivity, specificity and summary receiver operating characteristic curve were calculated. Publication bias was assessed and meta-regression was conducted. Results: We ultimately included 9 studies with a total of 1,404 patients with a mean age of 60.4 years and a percentage of females of 57.0%. According to the QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies 2) tool to assess methodological quality, the quality of the included studies was relatively low and risks of bias might exist. Results showed that a high VBQ was significantly associated with cage subsidence and screw loosening, and risk factor analysis revealed that the merged odds ratio was 5.37 for cage subsidence and 3.87 for screw loosening. With a VBQ cutoff value of 3.34±0.45, the pooled sensitivity and specificity for the diagnosis of postoperative complications were 0.75 and 0.75, respectively, and the area under the curve was 0.82 (95% confidence interval, 0.78–0.85). Conclusion A high VBQ was associated with a high risk of cage subsidence and screw loosening in patients who underwent degenerative lumbar surgery. The VBQ score could be considered for identifying high-risk patients for further evaluation.

Objective China is among the 30 countries with a high burden of tuberculosis(TB)worldwide,and TB remains a public health concern.Kashgar Prefecture in the southern Xinjiang Autonomous Region is considered as one of the highest TB burden regions in China.However,molecular epidemiological studies of Kashgar are lacking. Methods A population-based retrospective study was conducted using whole-genome sequencing(WGS)to determine the characteristics of drug resistance and the transmission patterns. Results A total of 1,668 isolates collected in 2020 were classified into lineages 2(46.0%),3(27.5%),and 4(26.5%).The drug resistance rates revealed by WGS showed that the top three drugs in terms of the resistance rate were isoniazid(7.4%,124/1,668),streptomycin(6.0%,100/1,668),and rifampicin(3.3%,55/1,668).The rate of rifampicin resistance was 1.8%(23/1,290)in the new cases and 9.4%(32/340)in the previously treated cases.Known resistance mutations were detected more frequently in lineage 2 strains than in lineage 3 or 4 strains,respectively:18.6%vs.8.7 or 9%,P<0.001.The estimated proportion of recent transmissions was 25.9%(432/1,668).Multivariate logistic analyses indicated that sex,age,occupation,lineage,and drug resistance were the risk factors for recent transmission.Despite the low rate of drug resistance,drug-resistant strains had a higher risk of recent transmission than the susceptible strains(adjusted odds ratio,1.414;95%CI,1.023-1.954;P = 0.036).Among all patients with drug-resistant tuberculosis(DR-TB),78.4%(171/218)were attributed to the transmission of DR-TB strains. Conclusion Our results suggest that drug-resistant strains are more transmissible than susceptible strains and that transmission is the major driving force of the current DR-TB epidemic in Kashgar.

ObjectiveHuman Ku70 protein mainly involves the non-homologous end joining (NHEJ) repair of double-stranded DNA breaks (DSB) through its DNA-binding properties, and it is recently reported having an RNA-binding ability. This paper is to explore whether Ku70 has RNA helicase activity and affects miRNA maturation. MethodsRNAs bound to Ku protein were analyzed by RNA immunoprecipitation sequencing (RIP-seq) and bioinfomatic anaylsis. The expression relationship between Ku protein and miRNAs was verified by Western blot (WB) and quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR) assays. Binding ability of Ku protein to the RNAs was tested by biolayer interferometry (BLI) assay. RNA helicase activity of Ku protein was identified with EMSA assay. The effect of Ku70 regulated miR-124 on neuronal differentiation was performed by morphology analysis, WB and immunofluorescence assays with or without Zika virus (ZIKV) infection. ResultsWe revealed that the Ku70 protein had RNA helicase activity and affected miRNA maturation. Deficiency of Ku70 led to the up-regulation of a large number of mature miRNAs, especially neuronal specific miRNAs like miR-124. The knockdown of Ku70 promoted neuronal differentiation in human neural progenitor cells (hNPCs) and SH-SY5Y cells by boosting miR-124 maturation. Importantly, ZIKV infection reduced the expression of Ku70 whereas increased expression of miR-124 in hNPCs, and led to morphologically neuronal differentiation. ConclusionOur study revealed a novel function of Ku70 as an RNA helicase and regulating miRNA maturation. The reduced expression of Ku70 with ZIKV infection increased the expression of miR-124 and led to the premature differentiation of embryonic neural progenitor cells, which might be one of the causes of microcephaly.

Objective To explore the accuracy and clinical application value of artificial intelligence(AI)-based coronary computed tomography angiography(CCTA)in the evaluation of coronary artery stenosis in patients with acute coronary syndrome(ACS).Methods Fifty-four patients with suspected ACS who underwent CCTA examination and invasive coronary angiography(ICA)within 72 h were retrospectively selected.The CCTA images of all patients were processed by AI(AI group)and manual post-pro-cessing(manual group),respectively.The image quality,work efficiency and detection rate of coronary artery stenosis were compared between AI group and manual group.With ICA results as the gold standard,the sensitivity,specificity,positive predictive value,negative predictive value and accuracy of AI in the diagnosis of ACS patients with coronary artery stenosis(≥50％)in CCTA were analyzed,and the consistency of AI and ICA examination results was tested.Results The image quality of CCTA in AI group(grade Ⅰ 27.8％)was better than that in manual group(grade Ⅰ 14.8％),but there was no statistical difference between the two groups(X2=2.707,P＞0.05).The average diagnosis time of AI group(89.67 s±33.21 s)was significantlyshorter than that of manual group(813.33 s±301.84 s)and the difference was statistically significant(t=-17.512,P＜0.001),and the average time gain rate was 88.97％.There was no statistical difference in the detection rate of coronary artery stenosis(≥50％)between AI group and manual group(x2=0.003,P＞0.05).The sensitivity,specificity,positive predictive value,negative predictive value,and accuracy of AI in diagnosis of ACS were 87.60％,96.44％,80.30％,97.92％,and 95.19％,respectively,which were significantly consistent with the results of ICA examina-tion(Kappa=0.810,P＜0.05).Conclusion AI-assisted diagnosis can correctly identify the coronary artery tree with better image,significantly shorten the diagnosis time of CCTA in ACS patients with high accuracy,and can provide a strong basis for the early treat-ment of patients with acute chest pain.