Objective: To establish a "regular blood donor red blood cell gene database"(hereafter referred to as the "database") by applying molecular biology techniques for red blood cell antigens genotyping and utilizing information technology software, and to determine the significance and application value of this "database" in precise red blood cell transfusion. Methods: Fifteen antigens [C, c, E, e, M, N, S, s, Fy (a), Fy (b), Jk (a), Jk (b), Le (a), Le (b), P1] across six blood group systems (RHCE, MNS, FY, JK, Lewis and P1PK) were detected among 9 426 regular blood donors using the TaqMan-MGB method combined with an improved U-shaped microplate approach. With the assistance of information technology software, the "database" was integrated into the overall inventory management system of the blood supply chain. This enabled comprehensive management of regular blood donor and patient information, test results, specific antigen screening for regular blood donors, graded antigen matching between donors and patients, and rare blood type donor records. Results: The TaqMan-MGB method successfully detected paired antigens (C/c, E/e, M/N, S/s, Fy /Fy , Jk /Jk ) within a single reaction well using a standardized PCR amplification protocol. This method provided a reliable testing solution for clinical institutions and empowered blood collection and supply organizations with high-throughput screening capabilities. In the blood supply chain, genotyped red blood cells accounted for 13.2% (721/5 462 U) of the total inventory, with 95.34% (348/365) originating from donors who donated two units of blood. Moreover, the “database” fulfilled 94.06% (443/471 U) of compatible transfusion requirements from medical institutions and effectively managed rare blood type donors. Conclusion: The establishment of the "database" facilitated the transition of blood compatibility testing from traditional serological methods to molecular biology-based gold standard techniques, significantly advancing the implementation of precise transfusion strategies based on multi-antigen matching between donors and patients.

Purpose To analyze the expression of SNAP23 in esophageal squamous cell carcinoma(ESCC)and its influence on invasion of ESCC cells.Methods A total of 41 cases of ESCC and paired normal adjacent tissue(NAT)were collected.The expression and localization of SNAP23 were detected by immunohistochemical EnVision method.The differences of SNAP23 expression levels between ESCC tissues and NAT tissues were compared to analyze the relationship between SNAP23 expression and clinicopathological characteristics.The expression level of SNAP23 in human immortalized esophageal epithelial cells SHEE and ESCC cell lines TE-1,TE-13 and KYSE150 were detected by Western blot.Lentiviral vector transfection technique was used to construct stable transfection cell lines with knock-down and overexpression of SNAP23 gene.The effect of SNAP23 on invasion of ESCC cell line TE-13 was evaluated by cell invasion experiment.Results The expression of SNAP23 in ESCC was significantly higher(53.7％,22/41)than that in the NAT group(19.5％,8/41),the difference was statistically significant(x2=10.303,P＜0.01).The expression level of SNAP23 in ESCC tissues was significantly correlated with maximum tumor diameter(x2=4.193,P＜0.05)and invasion depth(x2=7.264,P＜0.05),but was not correlated with patient gender,age,tumor site,tumor type,pathologic grade,vascular embolus,nerve invasion and lymph node metastasis(P＞0.05).Compared with human immortalized esophageal epithelial cells SHEE,SNAP23 was highly expressed in ESCC cell lines(P＜0.000 1).Compared with the sh-NT group,the invasion of ESCC cell line TE-13 was inhibited when SNAP23 expression was knocked down(P＜0.000 1);compared with the Vector group,the invasion of ESCC cell line TE-13 was enhanced after overexpression of SNAP23(P＜0.000 1).Conclusion SNAP23 is highly expressed in ESCC tis-sue and cell lines,and its expression level in ESCC tissues is positively correlated with tumor maximum diameter and invasion depth;SNAP23 promotes the invasion of ESCC cells.

Purpose To analyze the expression of SNAP23 in esophageal squamous cell carcinoma(ESCC)and its influence on invasion of ESCC cells.Methods A total of 41 cases of ESCC and paired normal adjacent tissue(NAT)were collected.The expression and localization of SNAP23 were detected by immunohistochemical EnVision method.The differences of SNAP23 expression levels between ESCC tissues and NAT tissues were compared to analyze the relationship between SNAP23 expression and clinicopathological characteristics.The expression level of SNAP23 in human immortalized esophageal epithelial cells SHEE and ESCC cell lines TE-1,TE-13 and KYSE150 were detected by Western blot.Lentiviral vector transfection technique was used to construct stable transfection cell lines with knock-down and overexpression of SNAP23 gene.The effect of SNAP23 on invasion of ESCC cell line TE-13 was evaluated by cell invasion experiment.Results The expression of SNAP23 in ESCC was significantly higher(53.7％,22/41)than that in the NAT group(19.5％,8/41),the difference was statistically significant(x2=10.303,P＜0.01).The expression level of SNAP23 in ESCC tissues was significantly correlated with maximum tumor diameter(x2=4.193,P＜0.05)and invasion depth(x2=7.264,P＜0.05),but was not correlated with patient gender,age,tumor site,tumor type,pathologic grade,vascular embolus,nerve invasion and lymph node metastasis(P＞0.05).Compared with human immortalized esophageal epithelial cells SHEE,SNAP23 was highly expressed in ESCC cell lines(P＜0.000 1).Compared with the sh-NT group,the invasion of ESCC cell line TE-13 was inhibited when SNAP23 expression was knocked down(P＜0.000 1);compared with the Vector group,the invasion of ESCC cell line TE-13 was enhanced after overexpression of SNAP23(P＜0.000 1).Conclusion SNAP23 is highly expressed in ESCC tis-sue and cell lines,and its expression level in ESCC tissues is positively correlated with tumor maximum diameter and invasion depth;SNAP23 promotes the invasion of ESCC cells.

Objective:To summarize the risk prediction models for postoperative hypoxemia and provide a reference for clinical nursing practice and future research on hypoxemia risk prediction models for postoperative patients.Methods:A systematic literature search was conducted in CNKI, CBM, Wanfang, PubMed, Web of Science Core Collection, Cochrane Library, Embase, and CINAHL databases, covering publications up to January 31, 2024. Two researchers independently screened the literature, extracted data, performed integrative analysis, and evaluated the risk of bias in the included studies.Results:Seventeen studies were included, involving 17 different prediction models. The study populations were primarily adult patients, with hypoxemia incidence rates ranging from 2.40% to 49.30%. Modeling methods included Logistic regression and decision tree algorithms. The presentation formats of the models included risk scoring formulas, nomograms, decision tree diagrams, and web calculators. The five most frequently identified predictive factors were body mass index, age, comorbidities, duration of intraoperative cardiopulmonary bypass, and preoperative white blood cell count. Sixteen models reported the area under the receiver operating characteristic curve ranging from 0.667 to 0.916. All 17 studies exhibited varying degrees of bias risk.Conclusions:Existing risk prediction models for postoperative hypoxemia demonstrate good performance; however, the bias risk level of all studies was high. Future research should standardize the model development process according to bias risk assessment checklists to establish models with low bias risk and strong clinical applicability.

Objective:To summarize the risk prediction models for postoperative hypoxemia and provide a reference for clinical nursing practice and future research on hypoxemia risk prediction models for postoperative patients.Methods:A systematic literature search was conducted in CNKI, CBM, Wanfang, PubMed, Web of Science Core Collection, Cochrane Library, Embase, and CINAHL databases, covering publications up to January 31, 2024. Two researchers independently screened the literature, extracted data, performed integrative analysis, and evaluated the risk of bias in the included studies.Results:Seventeen studies were included, involving 17 different prediction models. The study populations were primarily adult patients, with hypoxemia incidence rates ranging from 2.40% to 49.30%. Modeling methods included Logistic regression and decision tree algorithms. The presentation formats of the models included risk scoring formulas, nomograms, decision tree diagrams, and web calculators. The five most frequently identified predictive factors were body mass index, age, comorbidities, duration of intraoperative cardiopulmonary bypass, and preoperative white blood cell count. Sixteen models reported the area under the receiver operating characteristic curve ranging from 0.667 to 0.916. All 17 studies exhibited varying degrees of bias risk.Conclusions:Existing risk prediction models for postoperative hypoxemia demonstrate good performance; however, the bias risk level of all studies was high. Future research should standardize the model development process according to bias risk assessment checklists to establish models with low bias risk and strong clinical applicability.

Objective To design and verify the reliability of a shoelace tensile test system. Methods Incremental loads of 0-196 N were applied to three tension sensors, each load was repeated nine times, with the load removed and interval of 30 s during the repeated tests. Then output voltage of the sensors under each load was collected. Linear regression analysis was used to explore linear relationship between the collected voltage signal and the incremental load. Accuracy, precision and consistency intervals were used to verify consistency of the measured values with the true load. Bland-Altman analysis and intra-group correlation coefficient (ICC) analysis were used to verify the repeatability and reliability of the tensile sensor. Results There was a significant linear correlation between output voltage signal of the sensors and the load (P< 0. 000 1, R2= 0. 999 9), and ICC of three sensors was above 0. 999 (P<0. 000 1). The mean values of the coefficients of variation of the measured values for three tensile sensors under different loads were 0. 003 8, 0. 002 2 and 0. 003 5, respectively. Conclusions The shoelace tensile test system has high reliability and can be used for real-time acquisition of shoelace tension.

Objective Aiming at the problems of many items and long time to fill in the Constitution in Chinese Medicine Questionnaire(CCMQ)when evaluating individual constitution,the research uses artificial intelligence technology to select attributes,and to help construct a short version of the CCMQ.Methods Analyzing the constitution data provided by the Physical Examination Department of Jiangsu Province Hospital of Traditional Chinese Medicine,there are specific target variables as the classification of constitution types.Feature selection of genetic algorithm,cross-validation and KNN classification algorithm are used as filters to select problems,and the effect is evaluated by problem subset size,KNN classification accuracy and filling time.Results The method selected a short version of the CCMQ with 31 problems,and the average classification accuracy in the model was 86.16%,and the time was improved by 47.7%.Conclusion The algorithm can effectively find a better problem subset,achieve dimensionality reduction and have certain accuracy,thus helping to simplify the CCMQ.

Abstract: Objective To investigate the correlation of serum exosomal microRNA (exomiR)-27a with drug resistance and adverse outcomes in pulmonary tuberculosis (PTB), to provide new evidence for the development of anti-tuberculosis treatment. Methods From May 2018 to June 2020, 326 patients with PTB in the Eighth Affiliated Hospital of Xinjiang Medical University were selected and divided into 228 patients with active TB (active group) and 98 patients with latent TB infection (latent group), and 100 healthy subjects were included as controls. The serum exosomes of all subjects were extracted and identified by transmission electron microscopy, nanoparticle particle size analyzer and flow cytometry. The expression level of serum exomiR-27a was detected by real-time quantitative PCR. The diagnostic value of serum exomiR-27a in PTB was analyzed by receiver operating characteristic (ROC) curve. Drug resistance in patients with active PTB was recorded after standard treatment. The effect of serum exomiR-27a on the incidence of adverse outcomes was analyzed. Results The characterization of serum exosomes confirmed that exosomes were successfully isolated from serum. Compared with the control group 0.92(0.63, 1.17), the expression of serum exomiR-27a was up-regulated in the active group 1.55(1.18, 2.09) and the latent group 1.27 (0.96, 1.65), and the expression of exomiR-27a in the active group was higher than that in the latent group (P<0.05). PTB patients with high serum exomiR-27a expression (≥1.50) had poorer chest radiography and a higher proportion of chronic hepatitis comorbidities (P<0.05). ROC curve analysis showed that the area under the curve (AUC) of serum exomiR-27a distinguishing control and active group was 0.838 (95%CI: 0.795-0.880) and the AUC of serum exomiR-27a distinguishing normal and latent group was 0.766 (95%CI: 0.701-0.830). Patients in the active group received standard antituberculosis therapy (≥6 months). The expression level of serum exomiR-27a in drug-resistant patients was higher than that in sensitive patients (P<0.001), and the expression level of serum exomiR-27a in multi-drug resistant tuberculosis patients was higher than that in single-drug resistant tuberculosis patients (P<0.001). Logistic regression analysis showed that elevated serum exomiR-27a was an independent predictor of PTB resistance (P<0.001). High expression of serum exomiR-27a indicated a higher incidence of adverse outcomes (log rank=15.725, P<0.001). Conclusions High expression of serum exomiR-27a is helpful in the diagnosis and prediction of adverse outcomes of PTB.

Since the enrollment in 2002, the cultivation model of "4+4" program of clinical medicine in Shanghai Jiao Tong University School of Medicine has been continuously explored and practiced. With the goal of cultivating high-level compound outstanding medical innovative talents with multi-disciplinary cross-capacity, through strengthening the heuristic teaching, establishing the medical-engineering cross-course, emphasizing the training of scientific research ability, and taking teaching reform in the basic clinical single-circulation organ system integration course, we have established a talent training system with the characteristics of Shanghai Jiao Tong University School of Medicine, which is characterized by "thick foundation, strong practice, re-transformation, shaping norms, and international integration", and intend to make further exploration in the field of post-graduation education convergence.

【Objective】 To understand the current situation of blood components distribution in domestic prefecture-level blood stations through analyzing the components distribution data of 24 prefecture-level blood stations in China. 【Methods】 The data of components distribution of 24 blood stations from 2017 to 2020 as well as the data of blood deployment of 24 blood stations from 2019 to 2020 were collected and analyzed. 【Results】 From 2017 to 2020, positive annual growth in red blood cells, plasma and cryoprecipitate was observed in 22, 19 and 15 out of the 24 blood stations, and the annual growth median rate of above three components was 5.24%, 3.80% and 3.25%, respectively. Among the 24 prefecture-level blood stations, 23 carried out the preparation of cryoprecipitate. 【Conclusion】 The distribution of red blood cells, cryoprecipitate and plasma in prefecture-level blood stations is increasing year by year. However, there is a overstock of plasma, and most blood stations need blood employment.