Abstract：Objective To predict the structure and function of sterol O⁃acyltransferase 1（SOAT1）related to hepatocellular carcinoma（HCC）by using bioinformatics tools，in order to understand its mechanism as the marker and therapeutic target of S⁃Ⅲ subtype. Methods The structure，function and protein interaction of SOAT1 were predicted and analyzed by using databases or softwares such as NCBI，STRING，Protscale，SignalP，TMHMM，PSORT，SOPMA，SWISS ⁃ MODEL， NetNGlyc，NetOGlyc，Netphos and ProtParam. Results The protein encoded by SOAT1 was a hydrophobic protein with good stability，which was a nonclassical pathway protein with 8 transmembrane regions，mainly distributed among the cell membrane. SOAT1 was expressed in many tissues，while most of them in the adrenal gland，which showed multiple phosphorylation sites and was mainly involved in the synthesis and catabolism of cholesterol. Conclusion Bioinformatics analysis of structure and function of SOAT1 showed that SOAT1 lipid synthesis and catabolism pathways played an important role，and lipid expression was closely related to the development of cancer，indicating that the treatment of HCC may be achieved by regulating the expression of SOAT1 gene.

Objectives: To investigated the safety and efficacy of treating patients with acute non-ST-segment elevation myocardial infarction (NSTEMI) and elevated levels of N-terminal pro-hormone B-type natriuretic peptide (NT-proBNP) with levosimendan within 24 hours of first medical contact (FMC). Methods: This multicenter, open-label, block-randomized controlled trial (NCT03189901) investigated the safety and efficacy of levosimendan as an early management strategy of acute heart failure (EMS-AHF) for patients with NSTEMI and high NT-proBNP levels. This study included 255 patients with NSTEMI and elevated NT-proBNP levels, including 142 males and 113 females with a median age of 65 (58-70) years, and were admitted in the emergency or outpatient departments at 14 medical centers in China between October 2017 and October 2021. The patients were randomly divided into a levosimendan group (n=129) and a control group (n=126). The primary outcome measure was NT-proBNP levels on day 3 of treatment and changes in the NT-proBNP levels from baseline on day 5 after randomization. The secondary outcome measures included the proportion of patients with more than 30% reduction in NT-proBNP levels from baseline, major adverse cardiovascular events (MACE) during hospitalization and at 6 months after hospitalization, safety during the treatment, and health economics indices. The measurement data parameters between groups were compared using the t-test or the non-parametric test. The count data parameters were compared between groups using the χ² test. Results: On day 3, the NT-proBNP levels in the levosimendan group were lower than the control group but were statistically insignificant [866 (455, 1 960) vs. 1 118 (459, 2 417) ng/L, Z=-1.25,P=0.21]. However, on day 5, changes in the NT-proBNP levels from baseline in the levosimendan group were significantly higher than the control group [67.6% (33.8%,82.5%)vs.54.8% (7.3%,77.9%), Z=-2.14, P=0.03]. There were no significant differences in the proportion of patients with more than 30% reduction in the NT-proBNP levels on day 5 between the levosimendan and the control groups [77.5% (100/129) vs. 69.0% (87/126), χ²=2.34, P=0.13]. Furthermore, incidences of MACE did not show any significant differences between the two groups during hospitalization [4.7% (6/129) vs. 7.1% (9/126), χ²=0.72, P=0.40] and at 6 months [14.7% (19/129) vs. 12.7% (16/126), χ²=0.22, P=0.64]. Four cardiac deaths were reported in the control group during hospitalization [0 (0/129) vs. 3.2% (4/126), P=0.06]. However, 6-month survival rates were comparable between the two groups (log-rank test, P=0.18). Moreover, adverse events or serious adverse events such as shock, ventricular fibrillation, and ventricular tachycardia were not reported in both the groups during levosimendan treatment (days 0-1). The total cost of hospitalization [34 591.00(15 527.46,59 324.80) vs. 37 144.65(16 066.90,63 919.00)yuan, Z=-0.26, P=0.80] and the total length of hospitalization [9 (8, 12) vs. 10 (7, 13) days, Z=0.72, P=0.72] were lower for patients in the levosimendan group compared to those in the control group, but did not show statistically significant differences. Conclusions: Early administration of levosimendan reduced NT-proBNP levels in NSTEMI patients with elevated NT-proBNP and did not increase the total cost and length of hospitalization, but did not significantly improve MACE during hospitalization or at 6 months.
Male ; Female ; Humans ; Aged ; Natriuretic Peptide, Brain ; Simendan/therapeutic use* ; Non-ST Elevated Myocardial Infarction ; Heart Failure/drug therapy* ; Peptide Fragments ; Arrhythmias, Cardiac ; Biomarkers ; Prognosis

【Objective】 To understand the structural characteristics of lapsed apheresis donors in our blood center and provide guidance for further improving recruitment and retention strategies by retrospectively analyzing the characteristics of lapsed apheresis donors in our center in recent years. 【Methods】 The apheresis donation and lapsed apheresis donors in Zhejiang Blood Center from 2016 to 2020 were statistically analyzed, and the general information of lapsed donors, including gender, blood type, age, education level and occupation composition, were compared and analyzed. The lapse of novel and long-term donors with different frequency were retrospectively analyzed. The SPSS 19.0 statistical software package was used for data analysis. 【Results】 In 2020, the total lapse of apheresis donors decreased by 16.6% as compared with 2016(P<0.05). The lapse rate of donors with blood groups A, B, O and AB was 1∶1∶1∶1, higher in female donors(59.0%) than males(50.0%), and dominated by age group of 18-35(66.3%). With the increase of age, the lapse rate decreased. Donors lapsed were mainly with college or above educational background(60.8%), with high proportion in students and the staff. In 2020, the lapse of novel apheresis donors decreased by 34.1% as compared with 2016, but the average lapse rate of novel apheresis donors was still as high as 70.5%. The average lapse rate of blood donors with different frequency was 52.5%, and the lapse rate decreased significantly with the increase of apheresis donation frequency. The average lapse rate of novel blood donors with whole blood donation experience was lower than those without (56.1% vs 82.9%). 【Conclusion】 Multiple measures for recruitment and retention have effectively reduced the lapse of apheresis donors. However, apheresis donors who are 18-35 years old, with college degree or above, students and staff were the main groups from lapsing. In addition, low-frequency and novel apheresis donors without whole blood donation experience were more likely to be lapsing. Targeted and personalized blood donation services should be further provided, and the management of " full cycle of blood donation" should be strengthened to reduce the lapsing, so as to retain more blood donors.

To give full play to the therapeutic advantages of traditional Chinese medicine （TCM） in sepsis， clarify the entry point of integrated TCM and western medicine， further standardize the clinical treatment of TCM， develop a recognized and integrated treatment protocol of TCM and western medicine， and improve the clinical efficacy on sepsis，the Chinese Association of Chinese Medicine organized TCM and western medicine experts specialized in sepsis treatment to conduct in-depth discussions on the advantages of TCM and integrated TCM and western medicine in the treatment of sepsis based on the TCM etiology and pathogenesis of sepsis， a representative acute and critical disease. They emphasized the pathogenesis characteristics of asthenia of healthy Qi and sthenia of pathogenic factors and summarized the roles of Chinese medicine in correcting the imbalance of inflammatory response， improving blood coagulation dysfunction， and relieving organ damage. Furthermore， they proposed the treatment protocol with integrated TCM and western medicine， which is expected to provide references for actual clinical treatment and scientific research.

Objective: Transanal total mesorectal excision (taTME) was a very hot topic in the first few years since its appearance, but now more introspections and controversies on this procedure have emerged. One of the reasons why the Norwegian Ministry of Health stopped taTME was the high incidence of postoperative anastomotic leak. In current study, the incidence and risk factors of anastomotic leak after taTME were analyzed based on the data registered in the Chinese taTME Registry Collaborative (CTRC). Methods: A case-control study was carried out. Between November 15, 2017 and December 31, 2020, clinical data of 1668 patients undergoing taTME procedure registered in the CTRC database from 43 domestic centers were collected retrospectively. After excluding 98 cases without anastomosis and 109 cases without complete postoperative complication data, 1461 patients were finally enrolled for analysis. There were 1036 males (70.9%) and 425 females (29.1%) with mean age of (58.2±15.6) years and mean body mass index of (23.6±3.8) kg/m(2). Anastomotic leak was diagnosed and classified according to the International Study Group of Rectal Cancer (ISREC) criteria. The risk factors associated with postoperative anastomotic leak cases were analyzed. The impact of the cumulative number of taTME surgeries in a single center on the incidence of anastomotic leak was evaluated. As for those centers with the number of taTME surgery ≥ 40 cases, incidence of anastomic leak between 20 cases of taTME surgery in the early and later phases was compared. Results: Of 1461 patients undergoing taTME, 103(7.0%) developed anastomotic leak, including 71 (68.9%) males and 32 (31.1%) females with mean age of (59.0±13.9) years and mean body mass index of (24.5±5.7) kg/m(2). The mean distance between anastomosis site and anal verge was (2.6±1.4) cm. Thirty-nine cases (37.9%) were classified as ISREC grade A, 30 cases (29.1%) as grade B and 34 cases (33.0%) as grade C. Anastomotic leak occurred in 89 cases (7.0%,89/1263) in the laparoscopic taTME group and 14 cases (7.1%, 14/198) in the pure taTME group. Multivariate analysis showed that hand-sewn anastomosis (P=0.004) and the absence of defunctioning stoma (P=0.013) were independently associated with anastomotic leak after taTME. In the 16 centers (37.2%) which performed ≥ 30 taTME surgeries with cumulative number of 1317 taTME surgeries, 86 cases developed anastomotic leak (6.5%, 86/1317). And in the 27 centers which performed less than 30 taTME surgeries with cumulative number of 144 taTME surgeries, 17 cases developed anastomotic leak (11.8%, 17/144). There was significant difference between two kinds of center (χ(2)=5.513, P=0.019). Thirteen centers performed ≥ 40 taTME surgeries. In the early phase (the first 20 cases in each center), 29 cases (11.2%, 29/260) developed anastomotic leak, and in the later phase, 12 cases (4.6%, 12/260) developed anastomotic leak. The difference between the early phase and the later phase was statistically significant (χ(2)=7.652, P=0.006). Conclusion: The incidence of anastomotic leak after taTME may be reduced by using stapler and defunctioning stoma, or by accumulating experience.
Adult ; Aged ; Anastomotic Leak/etiology* ; Case-Control Studies ; China/epidemiology* ; Female ; Humans ; Incidence ; Laparoscopy ; Male ; Middle Aged ; Postoperative Complications/epidemiology* ; Rectal Neoplasms/surgery* ; Rectum/surgery* ; Retrospective Studies ; Risk Factors

BACKGROUND: A deep learning model (DLM) that enables non-invasive hypokalemia screening from an electrocardiogram (ECG) may improve the detection of this life-threatening condition. This study aimed to develop and evaluate the performance of a DLM for the detection of hypokalemia from the ECGs of emergency patients. METHODS: We used a total of 9908 ECG data from emergency patients who were admitted at the Second Affiliated Hospital of Nanchang University, Jiangxi, China, from September 2017 to October 2020. The DLM was trained using 12 ECG leads (lead I, II, III, aVR, aVL, aVF, and V1-6) to detect patients with serum potassium concentrations <3.5 mmol/L and was validated using retrospective data from the Jiangling branch of the Second Affiliated Hospital of Nanchang University. The blood draw was completed within 10 min before and after the ECG examination, and there was no new or ongoing infusion during this period. RESULTS: We used 6904 ECGs and 1726 ECGs as development and internal validation data sets, respectively. In addition, 1278 ECGs from the Jiangling branch of the Second Affiliated Hospital of Nanchang University were used as external validation data sets. Using 12 ECG leads (leads I, II, III, aVR, aVL, aVF, and V1-6), the area under the receiver operating characteristic curve (AUC) of the DLM was 0.80 (95% confidence interval [CI]: 0.77-0.82) for the internal validation data set. Using an optimal operating point yielded a sensitivity of 71.4% and a specificity of 77.1%. Using the same 12 ECG leads, the external validation data set resulted in an AUC for the DLM of 0.77 (95% CI: 0.75-0.79). Using an optimal operating point yielded a sensitivity of 70.0% and a specificity of 69.1%. CONCLUSIONS In this study, using 12 ECG leads, a DLM detected hypokalemia in emergency patients with an AUC of 0.77 to 0.80. Artificial intelligence could be used to analyze an ECG to quickly screen for hypokalemia.
Artificial Intelligence ; Deep Learning ; Electrocardiography ; Humans ; Hypokalemia/diagnosis* ; Retrospective Studies

Objective:To establish a disease risk prediction model for the newborn screening system of inherited metabolic diseases by artificial intelligence technology.Methods:This was a retrospectively study. Newborn screening data ( n=5 907 547) from February 2010 to May 2019 from 31 hospitals in China and verified data ( n=3 028) from 34 hospitals of the same period were collected to establish the artificial intelligence model for the prediction of inherited metabolic diseases in neonates. The validity of the artificial intelligence disease risk prediction model was verified by 360 814 newborns ' screening data from January 2018 to September 2018 through a single-blind experiment. The effectiveness of the artificial intelligence disease risk prediction model was verified by comparing the detection rate of clinically confirmed cases, the positive rate of initial screening and the positive predictive value between the clinicians and the artificial intelligence prediction model of inherited metabolic diseases. Results:A total of 3 665 697 newborns ' screening data were collected including 3 019 cases ' positive data to establish the 16 artificial intelligence models for 32 inherited metabolic diseases. The single-blind experiment ( n=360 814) showed that 45 clinically diagnosed infants were detected by both artificial intelligence model and clinicians. A total of 2 684 cases were positive in tandem mass spectrometry screening and 1 694 cases were with high risk in artificial intelligence prediction model of inherited metabolic diseases, with the positive rates of tandem 0.74% (2 684/360 814)and 0.46% (1 694/360 814), respectively. Compared to clinicians, the positive rate of newborns was reduced by 36.89% (990/2 684) after the application of the artificial intelligence model, and the positive predictive values of clinicians and artificial intelligence prediction model of inherited metabolic diseases were 1.68% (45/2 684) and 2.66% (45/1 694) respectively. Conclusion:An accurate, fast, and the lower false positive rate auxiliary diagnosis system for neonatal inherited metabolic diseases by artificial intelligence technology has been established, which may have an important clinical value.

Objective::To observe the effect of compound Kushen injection on the expressions of transforming growth factor-β₁ (TGF-β₁), drosophila mothers against decapentaplegic protein 3 (Smad3), glycogen synthase kinase-3β (GSK-3β) and β-catenin mice models with radiation-induced pulmonary injury (RIPI), in order to explore its possible mechanism of action. Method::On XStrahl precision radiation research platform for small animals (SARRP), a single 20 Gy bilateral lung field irradiation was performed to establish a mice model of RIPI. Thirty-two mice were randomly divided into normal control group, model group, compound Kushen injection group and dexamethasone injection group. The normal control group and the model group were given an equal volume of 0.9%sodium chloride solution and injected intraperitoneally for 4 weeks. The pathology of lung tissue tissues was observed by using hematoxylin-eosin (HE) staining. Immunohistochemical(IHC) was used to detect the expressions of E-cadheren and Vimentin proteins in mice lung tissues.Real-time polymerase chain reaction (Real-time PCR) was used to detect the mRNA expressions of TGF-β₁, Smad3, GSK-3β and β-cateninin.Western blot was used to detect the protein expressions of TGF-β₁, Smad3, GSK-3β and β-cateninin. Result::Compared with the normal group, the pulmonary coefficient of the model group was significantly decreased (P<0.01). Inflammatory cell infiltration, pulmonary interstitial edema, congestion, destruction of alveolar structure and partial alveolar atrophy were observed in the lung tissues of the model group. Compared with the model group, in the compound Kushen injection group, the levels of infiltration of lung inflammatory cells and pulmonary interstitial lesions in mice, the expression of Vimentin in lung tissues (P<0.01), and the expressions of TGF-β₁, Smad3, GSK-3β and β-cateninin were significantly decreased (P<0.01), whereas the expression of E-cadheren was significantly increased (P<0.01). However, compared with the dexamethasone injection group, in the compound Kushen injection group, the pathological changes of lung tissues were similar, and the expression levels of E-cadheren, Vimentin, TGF-β₁, Smad3, GSK-3β and β-cateninin were not significantly different. Conclusion::Compound Kushen injection can alleviate pulmonary fibrosis of lung in the treatment of RIPI, and the mechanism may be associated with inhibiting the mRNA and protein expressions of TGF-β₁, Smad3, GSK-3β and β-catenin related to epithelial-mesenchymal transition(EMT), promoting the expression of E-cadheren, and inhibiting the expression of Vimentin, so as to inhibit the occurrence of EMT.