Objective:To reassess the prognostic value of minimal residual disease (MRD) and IKZF1 gene deletions in adults with B-cell acute lymphoblastic leukemia (B-ALL) who received pediatric-specific chemotherapy regimens during the Nanfang Hospital PDT-ALL-2016 trial.Methods:We retrospectively analyzed the prognosis of 149 adult patients with B-ALL who were admitted to Nanfang Hospital from January 2016 to September 2020. Prognostic factors were identified using Cox regression models.Results:The complete remission rate was 93.2% in 149 patients, with a 5-year overall survival (OS) rate of (54.3±5.0) % and a cumulative incidence of relapse (CIR) of (47.5±5.2) %. The Cox regression analysis revealed that MRD positivity at day 45 (MRD 3) after induction therapy was independently associated with relapse risk ( HR=2.535, 95% CI 1.122-5.728, P=0.025). Deletion of IKZF1 gene was independently associated with mortality risk ( HR=1.869, 95% CI 1.034-3.379, P=0.039). Based on MRD 3 and IKZF1 gene status, we categorized adult patients with B-ALL into the low-risk (MRD 3-negative and IKZF1 gene deletion-negative) and high-risk (MRD 3-positive and/or IKZF1 gene wild type) groups. The 5-year OS and CIR rates were (45.5±6.0) % vs (69.4±8.6) % ( P<0.001) and (61.6±8.3) % vs (25.5±6.5) % ( P<0.001), respectively, in the high-risk and low-risk groups, respectively. The multivariate analysis showed that the high-risk group was an independent risk factor for OS ( HR=3.937, 95% CI 1.975-7.850, P<0.001) and CIR ( HR=4.037, 95% CI 2.095-7.778, P<0.001) . Conclusion:The combined use of MRD and IKZF1 gene in prognostic stratification can improve clinical outcome prediction in adult patients with B-ALL, helping to guide their treatment.

Objective:To invastigate the targets and signaling pathways of Gubiao Fanggan Modified Formula in regulating the defense against influenza A virus in immunosuppressed mice by network pharmacology,and the key targets were verified by immuno-suppressive mice model.Methods:TCMSP database was used to search the active ingredients of Gubiao Fanggan Modified Formula,and GeneCard,OMIM,PharmGkb databases were used to obtain the potential targets of the active ingredients to prevent influenza,and take their intersection targets were taken;STRING11.5 database was used to make protein-protein interaction network analyzed and finded the core targets;Cytoscape3.8.1 was used to build a traditional Chinese medicine-ingredient-disease target network,and GO enrichment analysis and KEGG enrichment analysis were performed.Intraperitoneal injection of cyclophosphamide was used to construct a mouse model of immune function suppression,normal group,model control group,Gubiao Fanggan Modified Formula group and oseltamivir group were set up,followed by prophylactic administration,and influenza virus intervention was performed on the fourth day.After 7 days of intragastric administration,the key targets were verified by mouse spleen index,HE staining,RT-qPCR and immunohistochemistry.Results:There were 82 active ingredients in five traditional Chinese medicines in Gubiao Fanggan Modi-fied Formula,and 72 common targets of drugs and diseases such as IL-6,TNF-α,IL-2,etc,mainly involving IL-17,TNF and AGE-RAGE signaling pathway.Gubiao Fanggan Modified Formula could increase spleen index and significantly reduce mRNA and protein expressions of IL-6 and TNF-α in spleen tissue of mice(P<0.05 or P<0.01).Conclusion:Gubiao Fanggan Modified Formula may regulate body's immune function through targets such as IL-6 and TNF-α,thereby preventing influenza virus infection.

Influenza is an acute viral respiratory infection that has caused high morbidity and mortality worldwide. Influenza A virus (IAV) has been found to activate multiple programmed cell death pathways, including ferroptosis. Ferroptosis is a novel form of programmed cell death in which the accumulation of intracellular iron promotes lipid peroxidation, leading to cell death. However, little is known about how influenza viruses induce ferroptosis in the host cells. In this study, based on network pharmacology, we predicted the mechanism of action of Maxing Shigan decoction (MXSGD) in IAV-induced ferroptosis, and found that this process was related to biological processes, cellular components, molecular function and multiple signaling pathways, where the hypoxia inducible factor-1(HIF-1) signaling pathway plays a significant role. Subsequently, we constructed the mouse lung epithelial (MLE-12) cell model by IAV-infected in vitro cell experiments, and revealed that IAV infection induced cellular ferroptosis that was characterized by mitochondrial damage, increased reactive oxygen species (ROS) release, increased total iron and iron ion contents, decreased expression of ferroptosis marker gene recombinant glutathione peroxidase 4 (GPX4), increased expression of acyl-CoA synthetase long chain family member 4 (ACSL4), and enhanced activation of hypoxia inducible factor-1α (HIF-1α), induced nitric oxide synthase (iNOS) and vascular endothelial growth factor (VEGF) in the HIF-1 signaling pathway. Treatment with MXSGD effectively reduced intracellular viral load, while reducing ROS, total iron and ferrous ion contents, repairing mitochondrial results and inhibiting the expression of cellular ferroptosis and the HIF-1 signaling pathway. Finally, based on animal experiments, it was found that MXSGD effectively alleviated pulmonary congestion, edema and inflammation in IAV-infected mice, and inhibited the expression of ferroptosis-related protein and the HIF-1 signaling pathway in lung tissues.
Animals ; Mice ; Ferroptosis ; Network Pharmacology ; Reactive Oxygen Species ; Vascular Endothelial Growth Factor A ; Influenza A virus ; Iron ; Hypoxia

Objective:To explore the feasibility of the AI intelligent reconstruction model based on knee joint magnetic resonance data developed by Nuctech Company Limited for evaluating knee cartilage injury.Methods:Thirty-three patients (a total of forty-one knees) who were hospitalized with severe knee osteoarthritis in Beijing Tsinghua Changgung Hospital from May 2021 to April 2022 were selected. All of them were planned to be performed total knee arthroplasty (TKA) for the treatment of knee osteoarthritis. Fifteen males with an average age of 71±5 years old and twenty six females with an average age of 71±9 years old were included in this study. There were 19 cases of left knee and 22 cases of right knee. Thin layer MRI examination on the patients' knee joints was performed before the surgery, and artificial intelligence model based on the thin layer MRI data of the knee joint was reconstructed. The cartilage part of the model was selected and corrected by Principal Component Analysis (PCA) in order to realize model straightening. The tibial plateau cartilage of knee joint which intercepted during operation was classified according to the International Cartilage Repair Society (ICRS). Finally the results were compared with the ICRS classification results of knee artificial intelligence reconstruction model and artificial recognition of knee joint MRI images.Results:Compared with the grade of cartilage injury intercepted during our operation which was according to the ICRS classification, the sensitivity of artificial intelligence reconstruction model for the diagnosis of cartilage injury with ICRS classification grade four was 93.1%. The specificity of artificial intelligence reconstruction model was 91.4%. The positive predictive value (PPV) of artificial intelligence reconstruction model was 92.2%. And the negative predictive value (NPV) of artificial intelligence reconstruction model was 80.3%. The area under ROC curve (AUC) was 0.92. The ICRS classification consistency between artificial intelligence model and physical inspection results was good with kappa value 0.81 ( P<0.001) . In the aspect of artificial recognition of cartilage injury grading in MRI images, the sensitivity of artificial recognition was 92.10% compared with the manual identification of cartilage injury classification in MRI images. The specificity of artificial recognition was 91.60%. The positive predictive value (PPV) of artificial recognition was 97.20% and the negative predictive value (NPV) of artificial recognition was 78.8%. The kappa value of the cartilage injury classification in MRI images consistency between artificial recognition and manual identification was 0.79 ( P<0.001). Conclusion:Based on the evaluation of cartilage injury by AI reconstruction model of knee joint, the sensitivity and specificity of the diagnosis of ICRS grade IV cartilage injury can be acceptable, but still needs to be improved.

As the main weapon of cellular immunity,CD4+ T cells play a vital role in controlling and eliminating infections,and are an important barrier for the body to resist infections.Respiratory tract infectious diseases caused by influenza virus infection have extremely high infectivity,morbidity and mortality.The infection mechanism is relatively complicated and has not been fully ex-plained.The exuberant immune response induced by the body after influenza virus infection is described as a"cytokine storm"which is related to pro-inflammatory cytokines and tissue damage,which may eventually lead to acute lung injury.Therefore,this article sum-marizes the current research progress,focusing on the mechanism of CD4+T cells in the cytokine storm induced by influenza virus in-fection and the impact of acute lung injury,providing relevant ideas and theoretical guidance for follow-up research,with a view to the disease caused by influenza virus bring new and effective methods of diagnosis and treatment.

Objective:To explore the regulatory effect of cellular FLICE-like inhibitory protein (cFLIP) on myocardial ischemia-reperfusion injury based on the RIPK1/RIPK3/MLKL-mediated necroptosis pathway.Methods:The cardiomyocyte hypoxia/reoxygenation (H/R) model was constructed by hypoxia for 4 h/reoxygenation for 12 h, and the rat ischemia reperfusion (I/R) model was constructed by ligating the left anterior descending artery for 30 min and reperfusion for 3 h. CCK-8 method was used to detect the viability of cardiomyocytes in each group. DAPI/PI double staining was used to observe changes in necrosis rate of myocardial cell. STRING database was used to predict the protein interaction network of cFLIP. TTC staining was used to detect the area of myocardial infarction in each group of rats, and the protein expression of cFLIPL, cFLIPS, p-RIPK1, p-RIPK3 and p-MLKL were detected by Western blot.Results:In cardiomyocyte H/R injury and myocardial tissue I/R injury, the protein expressions of cFLIPL and cFLIPS were significantly down-regulated, while the levels of p-RIPK1, p-RIPK3 and p-MLKL were increased significantly. Up-regulating the protein expression of cFLIPL and cFLIPS could significantly reduce the damage of cardiomyocytes and the rate of cell necrosis induced by H/R, and decrease the area of myocardial infarction caused by I/R. STRING database results showed that cFLIP had direct protein interactions with RIPK1 and RIPK3. Overexpression of cFLIP in cardiomyocyte and myocardial tissue significantly inhibited H/R or I/R induced the phosphorylation levels of RIPK1, RIPK3 and MLKL.Conclusions:Overexpression of cFLIP can significantly inhibit the RIPK1/RIPK3/MLKL-mediated necroptosis, thereby reducing myocardial cell damage and decreasing the area of myocardial infarction.

Objective:To compare 5-year overall survival (OS) and disease free survival (DFS) between preoperative three dimensional conformal radiotherapy (3DCRT) and volumetric medulated arc therapy (VMAT) concurrently combined with chemotherapy for locally advanced rectum cancer (LARC), and analyze the value of induction and/or consolidation chemotherapy in these circumstances.Methods:334 patients with LARC treated with preoperative 3DCRT (172 cases) and VMAT (162 cases) concurrently combined with chemotherapy, main protocol XELOX (capecitabine plus oxaplatin), and subsequent surgery in Sun Yat-sen University from May 2007 to April 2013 were retrospectively analyzed. The radiation prescription dose for VMAT group was 50 Gy 25 fractions for planning target volume1(PTV 1), and 46 Gy 25 fractions for PTV 2. The radiation prescription dose for 3DCRT group was 46 Gy 23 fractions for PTV 2. One hundred and eighty-five cases of all received preoperative concurrent chemoradiotherapy (namely, CCRT group), 149 cases received preoperative concurrent chemoradiotherapy plus median 2 courses (1-7 courses) induction and/or consolidation chemotherapy (namely, CCRT±induction chemotherapy±consolidation chemotherapy group), whose main chemotherapy protocol was XELOX. Difference of 5-year OS and DFS between 3DCRT and VMAT group was compared. The rate differences of acute toxicity during chemoradiotherapy, postoperative complications, ypCR, and survival between CCRT group and CCRT±induction chemotherapy±consolidation chemotherapy group were analyzed. Results:After a median follow-up of 62.3 months (2.4-119months) for the 334 patients, no any significant difference for 5-year OS (79.0% vs. 83.2%, P=0.442) and 5-year DFS (77.0% vs. 82.1%, P=0.231) between 3DCRT and VMAT group was observed. There was no any significant difference for the Grade 3 hematological toxicity (7.0% vs. 12.1%, P=0.114) and non-hematological toxicity (14.1% vs. 16.8%, P=0.491) during chemoradiotherapy, postoperative complications (17.3% vs. 17.4%, P=0.971), ypCR rate (25.4% vs. 30.2%, P=0.329), 5-year OS (80.5% vs. 82.0%, P=0.714) and 5-year DFS (78.8% vs. 81%, P=0.479) between CCRT group and CCRT±induction chemotherapy±consolidation chemotherapy group. Conclusions:Compared with 3DCRT, the physics advantage of VMAT technique does not significantly convert into clinical benefits and improve 5-year OS and DFS, even further boosting radiation dose to the gross tumor volume. It is safe for median 2 courses of induction and/or consolidation chemotherapy before and or after preoperative concurrent chemoradiotherapy in the treatment of LARC, though it does not significantly improve ypCR rate and survival.

Objective:To establish a nomogram model for predicting the risk of coronary artery disease in elderly patients with acute myocardial infarction (AMI).Methods:The clinical data of elderly patients with AMI who underwent coronary angiography in the department of cardiology of Cangzhou Central Hospital from July 2015 to March 2020 were analyzed, including age, gender, smoking history, underlying diseases, family history, blood pressure, left ventricular ejection fraction (LVEF), and several biochemical indicators at admission, such as total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), lipoprotein [Lp(a)], apolipoproteins (ApoA, ApoB), ApoA/B ratio, total bilirubin (TBil), direct bilirubin (DBil), indirect bilirubin (IBil), fasting blood glucose (FBG) and uric acid (UA). Patients were divided into model group (2 484 cases) and validation group (683 cases) according to the ratio of 8∶2. According to Gensini score, the model group and validation group were divided into mild lesion group (0-20 points) and severe lesion group (≥81 points). The differences of each index between different coronary lesion degree groups were compared. Lasso regression and Logistic regression were used to analyze the risk factors of aggravating coronary lesion risk in elderly patients with AMI, and then the nomogram prediction model was established for evaluation and external validation.Results:① In the model group, there were significant differences in the family history of coronary heart disease, FBG and HDL-C between the mild lesion group (411 cases) and the severe lesion group (417 cases) [family history of coronary heart disease: 3.6% vs. 7.7%, FBG (mmol/L): 5.88±1.74 vs. 6.43±2.06, HDL-C (mmol/L): 1.48±0.69 vs. 1.28±0.28, all P < 0.05]. In the validation group, there were significant differences between the mild lesion group (153 cases) and the severe lesion group [132 cases; FBG (mmol/L): 5.58±0.88 vs. 6.85±0.79, HDL-C (mmol/L): 1.59±0.32 vs. 1.16±0.21, both P < 0.05]. ② Lasso regression analysis showed that family history of coronary heart disease, FBG, and HDL-C were risk factors of coronary artery disease in elderly patients with AMI, with coefficients 0.118, 0.767, and -0.558, respectively. Logistic regression analysis showed that FBG [odds ratio ( OR) = 1.479, 95% confidence interval (95% CI) was 1.051-2.082, P = 0.025] and HDL-C ( OR = 0.386, 95% CI was 0.270-0.553, P < 0.001] were independent risk factors of coronary artery disease in elderly patients with AMI. ③ According to the rank score of FBG and HDL-C, the nomogram prediction risk model of aggravating coronary artery disease degree was established for each patient. It was concluded that the risk of coronary artery disease in elderly people with higher FBG level and (or) lower HDL-C level was significantly increased. ④ The nomogram model constructed with the model group data predicted the risk concordance index (C-index) was 0.689, and the C-index of the external validation group was 0.709. Conclusions:FBG and HDL-C are independent risk factors for aggravating coronary artery disease in elderly patients with AMI. The nomogram model of aggravating coronary artery disease in elderly patients with AMI has good predictive ability, which can provide more intuitive research methods and clinical value for preventing the aggravation of coronary artery disease in elderly patients.

OBJECTIVE：To syst ematically evaluate the effectiveness and safety of ticagrelor versus clopidogrel in the treatment of acute coronary syndrome （ACS）patients in East Asia ，and to provide evidence-based references for clinical drug use. METHODS：Retrieved from Cochrane Library ，PubMed，Embase，CNKI，Wanfang database ，etc.，randomized controlled trials （RCTs）about ticagrelor （trial group ）versus clopidogrel （control group ）in the treatment of ACS patients in east Asia were collected. After literature screening and data extraction ，the quality of included literatures was evaluated by using biasrisk evaluation tool recommended by Co chrane system evaluation manual 5.1.0，and Meta-analysis was performed by using Rev Man 5.3 statistical software. RESULTS ：A total of 5 RCTs were included ，with a total of 4 511 cases. Meta-analysis showed that the incidence of major adverse cardiovascular events [OR ＝0.85，95％CI（0.68，1.04），P＝0.12]，the incidence of death from cardiovascular causes [OR ＝0.76，95％CI（0.57，1.03），P＝0.08] and the incidence of stroke [OR ＝0.77，95％CI（0.48，1.24），P＝0.28]， without statistical significance. The incidence of major bleeding events [OR ＝1.54，95％CI（1.19，1.99），P＝0.001] and minor bleeding events [OR ＝1.80，95％ CI（1.40，2.32），P＜0.000 01] in trial group were significantly higher than control group. CONCLUSIONS：Ticagrelor is comparable to clopidogrel in reduce the major adverse cardiovascular events，death from cardiovascular causes and stroke in ACS patients in East Asian ，but it can increase the risk of major and minor bleeding events.

OBJECTIVE: To construct prediction model for health workforce and hospital beds in county hospitals of Hunan by multiple linear regression. METHODS: We surveyed 16 counties in Hunan with stratified random sampling according to uniform questionnaires,and multiple linear regression analysis with 20 quotas selected by literature view was done. RESULTS: Independent variables in the multiple linear regression model on medical personnels in county hospitals included the counties' urban residents' income, crude death rate, medical beds, business occupancy, professional equipment value, the number of devices valued above 10 000 yuan, fixed assets, long-term debt, medical income, medical expenses, outpatient and emergency visits, hospital visits, actual available bed days, and utilization rate of hospital beds. Independent variables in the multiple linear regression model on county hospital beds included the the population of aged 65 and above in the counties, disposable income of urban residents, medical personnel of medical institutions in county area, business occupancy, the total value of professional equipment, fixed assets, long-term debt, medical income, medical expenses, outpatient and emergency visits, hospital visits, actual available bed days, utilization rate of hospital beds, and length of hospitalization. CONCLUSION The prediction model shows good explanatory and fitting, and may be used for short- and mid-term forecasting.
China ; Forecasting ; Hospital Bed Capacity ; Hospitals, County ; Humans ; Linear Models ; Models, Theoretical ; Workforce