Objective To propose a lead attention network-based ST-T change recognition algorithm to detect ECG ST-T changes accurately.Methods Firstly,heartbeat signals were extracted through R-wave localization,and a 12-lead heartbeat matrix was generated by correlation-based screening and merging to realize data augmentation.Secondly,a lead attention module was constructed by combining depthwise convolution(DWConv)with the channel attention squeeze-and-excitation block(SE-block)structure to perceive the differences in ST-T status among electrocardiogram leads.Thirdly,the mapping output by two independent attention modules was fused and splicing with the original signal residual was carried out,so that attention information extraction and original information transfer were enhanced effectively.Finally,SE-ResNet was used as the backbone network to extract signal features to complete the classification and identification of ST-T changes.To validate the recognition performance of the proposed algorithm for ST-T changes in ECG,the 12-lead ECG data of 97 472 patients containing different ECG rhythms were collected for ablation and comparison experiments at the First Affiliated Hospital of Army Medical University.Results The proposed algorithm achieved an AUC of 0.965 with a sensitivity of 90.51%,specificity of 90.23%,positive predictive value of 89.24%and overall accuracy of 90.36%on an independent test set.Comparative analysis demonstrated superior performance to four benchmark architectures,including VGG16,ResNet18,MobileNetV3-Small and ShuffleNet,in terms of both classification accuracy and computational efficiency.Conclusion The algorithm designed can accurately detect ST-T changes and can be used for wearable ECG automatic analysis to assist in the early warning of cardiovascular diseases in both acute and chronic patients and highland residents.[Chinese Medical Equipment Journal,2025,46(7):1-11]

Objective To propose a lead attention network-based ST-T change recognition algorithm to detect ECG ST-T changes accurately.Methods Firstly,heartbeat signals were extracted through R-wave localization,and a 12-lead heartbeat matrix was generated by correlation-based screening and merging to realize data augmentation.Secondly,a lead attention module was constructed by combining depthwise convolution(DWConv)with the channel attention squeeze-and-excitation block(SE-block)structure to perceive the differences in ST-T status among electrocardiogram leads.Thirdly,the mapping output by two independent attention modules was fused and splicing with the original signal residual was carried out,so that attention information extraction and original information transfer were enhanced effectively.Finally,SE-ResNet was used as the backbone network to extract signal features to complete the classification and identification of ST-T changes.To validate the recognition performance of the proposed algorithm for ST-T changes in ECG,the 12-lead ECG data of 97 472 patients containing different ECG rhythms were collected for ablation and comparison experiments at the First Affiliated Hospital of Army Medical University.Results The proposed algorithm achieved an AUC of 0.965 with a sensitivity of 90.51%,specificity of 90.23%,positive predictive value of 89.24%and overall accuracy of 90.36%on an independent test set.Comparative analysis demonstrated superior performance to four benchmark architectures,including VGG16,ResNet18,MobileNetV3-Small and ShuffleNet,in terms of both classification accuracy and computational efficiency.Conclusion The algorithm designed can accurately detect ST-T changes and can be used for wearable ECG automatic analysis to assist in the early warning of cardiovascular diseases in both acute and chronic patients and highland residents.[Chinese Medical Equipment Journal,2025,46(7):1-11]

Severe congenital neutropenia (SCN) is a rare disease of bone marrow failure. Absolute value of peripheral blood neutrophil of SCN significantly reduced. SCN has a high risk of transformation to myelodysplastic syndromes (MDS) / acute myeloid leukemia (AML). At present, there are 14 abnormal genes related to SCN, ELANE is the most common pathogenic gene, the main therapy of SCN is the application of granulocyte colony stimulating factor (G-CSF). CSF3R gene mutation often occurs in the treatment process, and can lead to acute myeloid leukemia. Further research on SCN/AML transformation mechanism is helpful to the diagnosis and treatment of this disease. This review focuses on the genetics and phenotypic polymorphysm in SCN patients, the therapeutic effect and risk of G-CSF for SCN patients, the effect of CSF3R matation on signal transduction of G-CSF, CSF3R mutation is important factor for SCN tranformation to acute myeloid leukemia, exploring the mechanism of SCN/AML transformation contributes to diagnosis and therapy for patients and so on.

OBJECTIVETo investigate the differential potential of mesenchymal stem cells (MSCs) derived from human umbilical cord blood (hUCB) into insulin-secreting cells and its inducing condition.

METHODSUCB nucleated cells (NCs) were isolated and cultured in Mesencult media. The obtained UCB MSC were purified by adherence method and expanded. Then they were induced with epidermal growth factor (EGF), B-mercaptoethanol and high concentration of glucose. The induced cells were identified by RT-PCR. Intracellular insulin was examined by immunocytochemistry. The quantity of insulin secretion and glucose-simulated insulin release were examined by chemiluminescence immunoassay. The induced cells were also transplanted into renal subcapsular space of STZ-induced hyperglycemic mice to observe the in vivo lowering effect on hyperglycemia.

RESULTSThe induced cells morphologically became round and were gathering into a mass. The expression of some genes related to pancreatic islet was found by RT-PCR. Chemiluminescence immunoassay showed insulin positivity and the cells secreted a low concentration of insulin [(0.37 +/- 0.06) mU/L]. The induced cells responded to high glucose challenge with a stimulation index of 1.76. After those cells grafted into renal sub-capsule there was an in vivo lowering effect on blood glucose level on STZ hyperglycemic mice.

CONCLUSIONMSCs from UCB can differentiated into insulin secreting cells.

Animals ; Cell Differentiation ; drug effects ; Cells, Cultured ; Diabetes Mellitus, Experimental ; surgery ; Fetal Blood ; cytology ; Humans ; Insulin ; metabolism ; Insulin-Secreting Cells ; cytology ; metabolism ; transplantation ; Mesenchymal Stromal Cells ; cytology ; drug effects ; Mice ; Mice, Nude

To study the expression of lung resistance protein (LRP) and multidrug resistance protein (MRP) genes in bone marrow cells in patients with acute leukemia and its clinical significance, expression of LRP and MRP mRNA in bone marrow cells from 47 cases of acute leukemia, including 10 refractory or relapsed cases, and 7 normal individuals were determined by semi-quantitative reverse transcription polymerase chain reaction (RT-PCR). The result s showed that expression of LRP gene was negative in normal individuals. LRP mRNA level in newly treated cases of acute myelocytic leukemia and refractory or relapsed cases was significantly higher than that in normal individuals, increased LRP mRNA level has correlation with lower sensitivity to initial chemotherapy and was associated with reduced overall survival rate. Complete remission (CR) rate in LRP positive patients was lower than that in negative cases. The level of LRP expression was correlated with that of MRP mRNA. In conclusion, the expression of LRP mRNA can predict the treatment outcome and prognosis for acute myelocytic leukemia, prognosis was even worse in LRP and MRP linked expression cases, therefore, LRP was an important resistant factor, determination of LRP and MRP expression can help us to evaluate the prognosis and choose chemotherapy program.
ATP Binding Cassette Transporter, Sub-Family B ; genetics ; Adolescent ; Adult ; Aged ; Bone Marrow Cells ; metabolism ; Female ; Humans ; Leukemia, Myeloid, Acute ; drug therapy ; metabolism ; Male ; Middle Aged ; Neoplasm Proteins ; genetics ; Precursor Cell Lymphoblastic Leukemia-Lymphoma ; drug therapy ; metabolism ; Prognosis ; RNA, Messenger ; analysis ; Vault Ribonucleoprotein Particles ; genetics

The purpose of this study is to investigate the Sal I, Nru I and Mse I restriction fragment length polymorphisms (RFLPs) of factor IX gene in Chinese Han people. The frequencies of FIX-192 and FIX-793 for A and G, and FIX-698 for T and C were analyzed by polymerase chain reaction (PCR) in unrelated normal Chinese Han people. A sample of 214, 210 and 206 unrelated X chromosomes were analyzed for FIX-192 and FIX-793 and FIX-698, respectively. The results showed that the frequencies for FIX-192 were 0.878 for A and 0.122 for G, with a heterozygosity rate of 0.213, and the frequencies for FIX-793 were 0.552 for A and 0.448 for G, with a heterozygosity rate of 0.494, the frequencies for FIX-698 were 0.311 for T and 0.689 for C, with a heterozygosity rate of 0.429. It was concluded that the SalIand NruI and MseI RFLPs of FIX gene may be useful markers for carrier detection and prenatal diagnosis in Chinese families with hemophilia B patients.
China ; DNA ; genetics ; metabolism ; Deoxyribonucleases, Type II Site-Specific ; metabolism ; Factor IX ; genetics ; Female ; Gene Frequency ; Heterozygote ; Humans ; Male ; Polymorphism, Restriction Fragment Length

The purpose of this investigation was to explore the expression of nm23-H(1) gene in patients with myelodysplastic syndrome (MDS) and evaluate the relationship between nm23-H(1) expression and therapeutic outcomes. Semi-quantitative RT-PCR was used to detect the expression of nm23-H(1) mRNA in marrow mononuclear cells from 28 MDS patients and 15 normal subjects. nm23-H(1)/GAPDH ratio >/= 0.5 was believed to a positive case. The expression of nm23-H(1) was positive in 24 of 28 MDS patients, and the average level was 0.89 +/- 0.56. nm23-H(1) mRNA was negative in normal controls. The overexpression of nm23-H(1) mRNA in MDS patients could predict outcome of treatment and prognosis for MDR patients.