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]

OBJECTIVE: This study was aimed at investigating the carrier rate of, and molecular variation in, α- and β-globin gene mutations in Hunan Province. METHODS: We recruited 25,946 individuals attending premarital screening from 42 districts and counties in all 14 cities of Hunan Province. Hematological screening was performed, and molecular parameters were assessed. RESULTS: The overall carrier rate of thalassemia was 7.1%, including 4.83% for α-thalassemia, 2.15% for β-thalassemia, and 0.12% for both α- and β-thalassemia. The highest carrier rate of thalassemia was in Yongzhou (14.57%). The most abundant genotype of α-thalassemia and β-thalassemia was -α ^3.7/αα (50.23%) and β ^IVS-II-654/β ^N (28.23%), respectively. Four α-globin mutations [CD108 (ACC>AAC), CAP +29 (G>C), Hb Agrinio and Hb Cervantes] and six β-globin mutations [CAP +8 (C>T), IVS-II-848 (C>T), -56 (G>C), beta nt-77 (G>C), codon 20/21 (-TGGA) and Hb Knossos] had not previously been identified in China. Furthermore, this study provides the first report of the carrier rates of abnormal hemoglobin variants and α-globin triplication in Hunan Province, which were 0.49% and 1.99%, respectively. CONCLUSION Our study demonstrates the high complexity and diversity of thalassemia gene mutations in the Hunan population. The results should facilitate genetic counselling and the prevention of severe thalassemia in this region.
Humans ; beta-Thalassemia/genetics* ; alpha-Thalassemia/genetics* ; Hemoglobinopathies/genetics* ; China/epidemiology* ; High-Throughput Nucleotide Sequencing

OBJECTIVE To observe the changes in brain function characteristics of Chaihu Tongbian Decoction in rats with slow transit constipation(STC)and depression using resting-state functional magnetic resonance imaging(rs-fMRI).METHODS 70 healthy SPF grade male SD rats were randomly divided into the blank group,model group,mosapride group,fluoxetine hydrochloride group,low(11.02 g·kg-1),medium(22.05 g·kg-1),and high(44.1 g·kg-1)dose Chaihu Tongbian Decoction groups.A rat model of STC with depression was constructed using compound diphenylephrine tablets combined with solitary confinement and chronic unpredictable mild stress(CUMS).Drugs were administered after successful modeling.The general condition of the rats was observed;24 h total number of fecal particles,fecal water content and intestinal carbon end advance rate were calculated;HE staining of the co-lon tissue was performed;the depressive-like behavior of the rats was detected.By comparing rs-fMRI amplitude of low-frequency fluctuation(ALFF)values,the differences in neuronal activity in the brains of rats in each group were explored.RESULTS Com-pared with the blank group,the 24 h total number of fecal particles,fecal water content and intestinal carbon end advance rate in the model group were significantly reduced(P<0.01).HE staining showed that the colon tissue lesions in the model group were severe.Open field experiment and sugar water consumption showed that the activity level of rats in the model group decreased(P<0.01),and behavioral changes like anxiety and depression appeared.The rs-fMRI results showed that compared with the blank group,the ALFF value of the right posterolateral hippocampus in the model group decreased and the ALFF value of the left amygdala increased(P<0.01).Compared with the model group,after 4 weeks of treatment,the 24 h total number of fecal particles,fecal water content,and intestinal carbon end advance rate in the mosapride group and each dose group of Chaihu Tongbian Decoction were im-proved(P<0.05);compared with the model group,after 4 weeks of treatment,the fluoxetine hydrochloride group and each dose group of Chaihu Tongbian Decoction could improve the anxiety and depression-like behavior of rats(P<0.05);compared with the model group,after 4 weeks of treatment,the fluoxetine hydrochloride group and the high-dose Chaihu Tongbian Decoction group could in-crease the ALFF value of the right posterolateral hippocampus and decrease the ALFF value of the left amygdala(P<0.05).CON-CLUSION Chaihu Tongbian Decoction can effectively relieve constipation and depressive symptoms in STC rats with depression,and its mechanism may be related to activating the right posterolateral hippocampus and inhibiting amygdala activity.

OBJECTIVE: To establish an immune gene prognostic model of acute myeloid leukemia (AML) and explore its correlation with immune cells in bone marrow microenvironment. METHODS: Gene expression profile and clinical data of TCGA-AML were downloaded from TCGA database. Immune genes were screened by LASSO analysis to construct prognosis prediction model, and prediction accuracy of the model was quantified by receiver operating characteristic curve and area under the curve. Survival analysis was performed by Log-rank test. Enriched pathways in the different immune risk subtypes were evaluated from train cohort. The relationship between immune prediction model and bone marrow immune microenvironment was verified by flow cytometry in the real world. RESULTS: Patients with low-risk score of immune gene model had better prognosis than those with high-risk score. Multivariate analysis showed that the immune gene risk model was an independent prognostic factor. The risk ratio for AML patients in the training concentration was HR=24.594 (95%CI: 6.180-97.878), and the AUC for 1-year, 3-year, and 5-year overall survival rate was 0.811, 0.815, and 0.837, respectively. In addition, enrichment analysis of differential gene sets indicated activation of immune-related pathways such as cytokines and chemokines as well as autoimmune disease-related pathways. At the same time, real world data showed that patients with high immune risk had lower numbers of CD8⁺T cells and B lymphocytes compared with low immune risk patients. CONCLUSION We constructed a stable prognostic model for AML, which can not only predict the prognosis of AML, but also reveal the dysregulation of immune microenvironment.
Humans ; Leukemia, Myeloid, Acute/genetics* ; Prognosis ; ROC Curve ; Risk Factors ; Transcriptome ; Tumor Microenvironment/genetics*

The aim of this study was to investigate the effects of polarization program on the ability of macrophages to regulate iron metabolism. M1 and M2 macrophages were propagated in vitro from porcine alveolar macrophages 3D4/2 and polarized by cytokines. The 3D4/2 macrophages were treated with 20 ng/mL interferon gamma (IFN-γ) and 10 ng/mL interleukin-4 (IL-4) combined with 10 ng/mL macrophage colony-stimulating factor (M-CSF) to induce polarization to M1 and M2, respectively. After incubation for 24 h, the expression levels of inflammatory factors and iron-metabolism genes were determined using real-time qPCR, Western bot and immunofluorescence. The M1/M2 macrophages culture media supernatant was collected and used to treat porcine intestinal epithelial cells IPEC-J2. The proliferation ability of IPEC-J2 was detected using CCK-8 assay kit. Following exogenous addition of ammonium ferric citrate (FAC) to M1/M2 macrophages, the phagocytic function of macrophages was detected using fluorescein isothiocyanate-dextran (FITC-dextran) and flow cytometry. The results showed that, compared with control, M1 macrophages had higher mRNA levels of iron storage proteins (ferritin heavy and light polypeptide, i.e. FtH and FtL), hepcidin and lipocalin-2, as well as iron content. Moreover, iron enhanced the ability of M1 macrophages to phagocytize FITC-dextran. There was no significant change in these mRNA expression levels in M2 macrophages, but the mRNA expression levels of ferroportin and transferrin receptor were up-regulated. In addition, the conditioned media supernatant from M2 macrophages promoted cell proliferation of IPEC-J2. These findings indicate that M1 macrophages tend to lock iron in the cell and reduce extracellular iron content, thereby inhibiting the proliferation of extracellular bacteria. While M2 macrophages tend to excrete iron, which contributes to the proliferation of surrounding cells and thus promotes tissue repair.
Animals ; Cytokines ; Ferritins ; Iron/metabolism* ; Macrophages/metabolism* ; Macrophages, Alveolar/metabolism* ; Swine

Neuropathic pain (NP) has become a serious global health issue and a huge clinical challenge without available effective treatment. P2 receptors family is involved in pain transmission and represents a promising target for pharmacological intervention. Traditional Chinese medicine (TCM) contains multiple components which are effective in targeting different pathological mechanisms involved in NP. Different from traditional analgesics, which target a single pathway, TCMs take the advantage of multiple components and multiple targets, and can significantly improve the efficacy of treatment and contribute to the prediction of the risks of NP. Compounds of TCM acting at nucleotide P2 receptors in neurons and glial cells could be considered as a potential research direction for moderating neuropathic pain. This review summarized the recently published data and highlighted several TCMs that relieved NP by acting at P2 receptors.

Guided by the basic theory of traditional Chinese medicine and using modern scientific methods, Dao-di herbs pharmacology studies the nature, performance, interaction with the body and its clinical application.It is a bridge between the basic research and clinical application of Dao-di herbs. It can objectively describe the law of efficacy of Dao-di herbs, scientifically explain the mechanism of efficacy of Dao-di herbs, explore and establish the standards and methods of Dao-di herbs based on biological effect and clinical efficacy, and provide scientific basis for the special properties, pharmacology and clinical value of Dao-di herbs.Furthermore, we put forward a new idea of building the standard of Dao-di herbs based on the curative effect rather than the origin.The Dao-di herbs standard should come from the systematic research of traditional Dao-di herbs producing areas and form a new characteristic system, through the extraction of environmental, genetic, character, chemical, pharmacological and other characteristics.This standard originates from the tradition, but it is higher than the tradition. It may not have the origin meaning of strict administrative division, but it can better reflect the pharmacological characteristics and excellent clinical value of Dao-di herbs.
China ; Drugs, Chinese Herbal/standards* ; Medicine, Chinese Traditional ; Plants, Medicinal/chemistry*

Objective: To observe the effect of modified Chaihu Shugantang on the expression of miRNA-204 in hippocampus of epileptic mice, and to explore its mechanism of neuroprotection. Method: The sixty mice were randomly divided into 6 groups:normal group, model group (pilocarpine 180 mg·kg^-1), and modified Chaihu Shugantang group (7 g·kg^-1·d^-1), modified Chaihu Shugantang+miRNA-204 mimic group (7 g·kg^-1·d^-1+ 2 μL), modified Chaihu Shugantang+miRNA-204 inhibitor group (7 g·kg^-1·d^-1+2 μL), carbamazepine group (30 mg·kg^-1·d^-1),each was given intragastric administration for 2 weeks,using pilocarpine to cause epilepsy in mice, respectively, add flavor to Bupleurum after intragastric administration, inhibition and overexpression of miRNA-204, the mice were sacrificed and their hippocampus tissues were harvested.The indicators of each group were observed, Real-time quantitative PCR detecting system (Real-time PCR) was used to detect mouse hippocampal miRNA-204 expression, Western blot analysis of autophagy-related protein microtubule-associated protein light chain 3 (LC3), autophagy-associated marker protein 7 (ATG7) expression, hematoxylin pathological condition of hippocampus in each group was observed by hematoxylin-eosin(HE)staining.The autophagy of hippocampus in each group was observed by transmission electron microscopy. Result: Compared with normal group, the expression of miRNA-204 was significantly decreased in model group (P<0.01), the pathological changes in the hippocampal C1 area were the most obvious, the expression of ATG7, LC3Ⅱ/LC3Ⅰ was increased (P<0.01), and the autophagy was small. Compared with model group, the expression of miRNA-204 in the hippocampus of the modified Chaihu Shugantang group was increased (P<0.05), the pathological changes in the hippocampal C1 area were alleviated, the expression of ATG7, LC3Ⅱ/LC3Ⅰ was decreased (P<0.05), and the autophagy was small. The number of body decreased,the expression of miRNA-204 in hippocampus of modified Chaihu Shugantang+miRNA-204 mimic group was significantly increased (P<0.01), the pathological changes in hippocampal C1 area were the lightest, and the expression of ATG7, LC3Ⅱ/LC3I was decreased (P<0.01), the number of autophagosomes was the least.Compared with modified Chaihu Shugantang group, the above-mentioned indicators of modified Chaihu Shugantang+miRNA-204 inhibitor group had the same change trend and the change range decreased (P<0.05). Conclusion: Modified Chaihu Shugantang can improve the pathological changes of hippocampus in mice with epilepsy and play a neuroprotective role. The mechanism may be to increase the expression of miRNA-204 in hippocampus of mice with epilepsy, inhibit excessive autophagy of neurons and reduce apoptosis.

Objective To understand the prevalence of small for gestational age (SGA) in Zhuang population, and to analyze the potential factors of SGA. Methods A total of 3 839 live births in the Wuming District People’s Hospital and Wuming Maternal and Child Health Hospital from January 2016 to January 2018 were recruited. Random Forest, 2 test and Logistic regression model were used for statistical analyses. Results The incidence of SGA was 9.6% (368/3 839), and it was 6.9% (142/2 049) and 12.6% (226/1 790) for male and female infants respectively. Random Forest method showed that second-trimester intrauterine growth restriction’s importance score was the highest, but gestational week’s was the lowest. Also, seven important variables were selected by this method. Unconditional logistic regression analysis showed that parity <2, the height of mothers <1.55 m, insufficient gestational weight gain, second-trimester intrauterine growth restriction were risk factors for SGA, but pre-pregnancy BMI ≥18.5 kg/m2 and male infants were protective factors. Conclusions The incidence of SGA is slightly higher, among the Zhuang population in Guangxi. SGA is affected by many factors. Therefore, it is necessary to evaluate the status of intrauterine growth and adopt comprehensive measures to control and reduce the incidence of SGA.