Objective This study investigated the regulatory effect of high mobility group protein B1 (HMGB1) in the peripheral blood of patients with primary immune thrombocytopenia (ITP) on myeloid dendritic cells (mDC) and Th17/regulatory T cells (Treg) balance. Methods The study enrolled 30 newly diagnosed ITP patients and 30 healthy controls.Flow cytometry was used to measure the proportion of mDC, Th17, and Treg cells in the peripheral blood of ITP patients and healthy controls. ELISA was conducted to quantify the serum levels of HMGB1, interleukin 6 (IL-6), IL-23, IL-17, and transforming growth factor β(TGF-β). The mRNA levels of retinoic acid-related orphan receptor γt(RORγt) and forehead box P3(FOXP3) were detected by real-time PCR. The correlation between the abovementioned cells, cytokines, and platelet count was assessed using Pearson linear correlation analysis. Results The proportion of Th17 cells and the expression levels of HMGB1, IL-6, IL-23, IL-17 and the level of RORγt mRNA in the peripheral blood of ITP patients were higher than those in healthy controls. However, the Treg cell proportion and TGF-β level were lower in ITP patients than those in healthy controls. In patients with ITP, the proportion of mDC and the level of FOXP3 mRNA did not show significant changes. The proportion of mDC cells was significantly correlated with the expression of IL-6 and IL-23. Moreover, the expression of HMGB1 showed a significant correlation with the expression of mDC, IL-6, IL-23, RORγt mRNA, and IL-17. Notably, both the proportion of mDC cells and the expression of HMGB1 were negatively correlated with platelet count. Conclusion The high expression of HMGB1 in peripheral blood of ITP patients may induce Th17/Treg imbalance by promoting the maturation of mDC and affecting the secretion of cytokines, thereby potentially playing a role in the immunological mechanism of ITP.
Humans ; Th17 Cells/cytology* ; HMGB1 Protein/genetics* ; T-Lymphocytes, Regulatory/cytology* ; Female ; Male ; Dendritic Cells/metabolism* ; Adult ; Middle Aged ; Purpura, Thrombocytopenic, Idiopathic/genetics* ; Nuclear Receptor Subfamily 1, Group F, Member 3/genetics* ; Young Adult ; Interleukin-23/blood* ; Interleukin-17/blood* ; Interleukin-6/blood* ; Forkhead Transcription Factors/genetics* ; Myeloid Cells/cytology* ; Aged

OBJECTIVE: To explore the feasibility of establishing a temporary trauma team led by trauma experts in primary hospitals for disaster medical rescue. METHODS: In the coal mine flooding accident in Xiaoyi City, Shanxi Province on December 15, 2021, according to the local emergency plan and the characteristics of the accident, the trauma experts trained the medical staff from the local primary hospital on advanced trauma life support (ATLS) and damage control surgery (DCS) in the short time interval between the occurrence of the mine disaster and the admission of medical staff to the disaster scene. A temporary trauma team composed of trauma experts, ATLS team, and DCS team was formed to provide early diagnosis and treatment for survivors before and in the hospital. RESULTS: The miners were found on the 36th hour of the disaster. All 22 miners were male, and 2 died underground. Another 20 people were rescued 39－43 hours after the disaster, with a median age of 48 years (34-57 years). All the survivors suffered from hypothermia, dehydration, maceration of feet and other injuries. There were 18 cases of acute inhalation tracheobronchitis, 14 cases of electrolyte acid-base disturbance, 6 cases of trunk contusion, 1 case of psoas major hematoma, and 1 case of lower extremity hematoma. Deep vein thrombosis was in 4 cases. The ATLS team focused on injury assessment, rewarming and rehydration within 50－60 minutes before admission, and completed auxiliary examinations within 2 hours after admission to clarify the diagnosis. The DCS team evaluated 6 patients with mechanical blunt trunk injury and excluded the indication of emergency surgery. The trauma experts conducted the whole process of supervision and quality control of disaster rescue. The positive rate of capillary refill test in the all survivors at the third hour of admission was significantly lower than that immediately after being rescued (75.0% vs. 15.0%, P=0.000 3), and they were discharged 4－7 days after admission. CONCLUSION Under the leadership of trauma experts and relying on the medical staff of primary hospitals, it is feasible to establish and train a temporary trauma team with ATLS and DCS functions to participate in the medical rescue of disasters, which is in line with the current national conditions of China.
Humans ; Adult ; Middle Aged ; Male ; Rescue Work/organization & administration* ; China ; Disasters ; Patient Care Team/organization & administration* ; Wounds and Injuries/therapy* ; Advanced Trauma Life Support Care/organization & administration* ; Disaster Planning/organization & administration* ; Emergency Medical Services/organization & administration*

Computational approaches for predicting drug-target interactions (DTIs) are pivotal in advancing drug discovery. Current methodologies leveraging heterogeneous networks often fall short in fully integrating both local and global network information. To comprehensively consider network information, we propose DHGT-DTI, a novel deep learning-based approach for DTI prediction. Specifically, we capture the local and global structural information of the network from both neighborhood and meta-path perspectives. In the neighborhood perspective, we employ a heterogeneous graph neural network (HGNN), which extends Graph Sample and Aggregate (GraphSAGE) to handle diverse node and edge types, effectively learning local network structures. In the meta-path perspective, we introduce a Graph Transformer with residual connections to model higher-order relationships defined by meta-paths, such as "drug-disease-drug", and use an attention mechanism to fuse information across multiple meta-paths. The learned features from these dual perspectives are synergistically integrated for DTI prediction via a matrix decomposition method. Furthermore, DHGT-DTI reconstructs not only the DTI network but also auxiliary networks to bolster prediction accuracy. Comprehensive experiments on two benchmark datasets validate the superiority of DHGT-DTI over existing baseline methods. Additionally, case studies on six drugs used to treat Parkinson's disease not only validate the practical utility of DHGT-DTI but also highlight its broader potential in accelerating drug discovery for other diseases.

Fibromyalgia syndrome （FMS） is a refractory， chronic non-articular rheumatic disease characterized by widespread pain throughout the body， for which there are no satisfactory therapeutic drugs or options. There are rich Chinese medical therapies， and some non-drug therapies， such as acupuncture， Tai Chi， and Ba-Duan-Jin， have shown satisfactory efficacy and safety and definite advantages of simultaneously adjusting mind and body. FMS is taken as a disease responding specifically to traditional Chinese medicine （TCM） by the National Administration of Traditional Chinese Medicine in 2018. In order to clarify the research progress in FMS and the clinical advantages of TCM/integrated Chinese and Western medicine， the China Academy of Chinese Medicine organized a seminar for nearly 20 experts in Chinese and Western medicine， including rheumatology， psychology， acupuncture and moxibustion， and encephalopathy， with the topic of difficulties in clinical diagnosis and treatment of FMS and advantages of TCM and Western medicine. The recommendations were reached on the difficulties in early diagnosis and solutions of FMS， mitigation of common non-specific symptoms， preferential analgesic therapy， TCM pathogenesis and treatment advantages， and direction of treatment with integrated Chinese and Western medicine. FMS is currently facing the triple dilemma of low early correct diagnosis， poor patient participation， and unsatisfactory benefit from pure Western medicine treatment. To solve the above problems， this paper suggests that rheumatologists should serve as the main diagnostic force of this disease， and they should improve patient participation in treatment decision-making， implement exercise therapy， and fully utilize the holistic and multidimensional features of TCM， which is effective in alleviating pain， improving mood， and decreasing adverse events. In addition， it is suggested that FMS treatment should rely on both TCM and Western medicine and adopt multidisciplinary joint treatment， which is expected to improve the standard of diagnosis and treatment of FMS in China.

Objective To establish the fingerprint map and method of multi-component content determination of ginger and its processed products,and to evaluate their quality. Methods High performance liquid chromatography (HPLC) was used to establish the fingerprint of ginger and its processed products (dried ginger,baked ginger,ginger charcoal) and the method for the simultaneous determination of content of five components. The data were analyzed by similarity evaluation and chemical pattern recognition. Results The fingerprint of ginger and its processed products was established. The similarity was ranged from 0.931 to 0.996. A total of 15 common peaks were confirmed. Five components (6-ginger phenol,8-ginger phenol,10-ginger phenol,6-ginger enol,zingiberone) were identified when compared with the standard. The content of 6-ginger phenol,8-ginger phenol and 10-ginger phenol in ginger and its processed products(dried ginger,baked ginger,ginger charcoal),which were determined by HPLC,met the standard of Chinese Pharmacopoeia(2020 edition). The content of 6-ginger enol and zingiberone in fresh ginger was very low,but their content increased significantly after processing into dried ginger and baked ginger. Ginger and its processed products can be divided into different category in cluster analysis. Five components with VIP greater than one were selected by orthogonal partial least squares discriminant analysis. Conclusion The HPLC fingerprint and assay method established in this study are specific,simple and feasible,stable and reliable. With the help of chemical pattern recognition method,it can provide reference for the quality evaluation of ginger and its processed products.

Objective To explore the correlation between functional striatal abnormalities(FSA)scores and symptoms and cognitive function in patients with schizophrenia.Methods A total of 92 patients with schizophrenia admitted to the Second Affiliated Hospital of Xinxiang Medical University from July 2021 to February 2022 were selected as the research subjects,15 patients were excluded due to excessive interference with head movement during image data analysis,and 77 patients were finally included in the statistical analysis.The cognitive function of the patients before treatment and after 8 weeks of treatment was evaluated through a set of cognitive function tests.The severity of symptoms before treatment and after 8 weeks of treatment was evaluated according to the positive and negative symptom scale(PANSS).The patients were divided into the ineffective group(PANSS＜50％,n=33)and the effective group(PANSS ≥ 50％,n=44)according to the PANSS reduction rate.Before treatment and 8 weeks after treatment,the resting-state functional magnetic resonance imaging scans were performed,and FSA scores were calculated.Results There was no significant difference in FSA scores of patients between the effective group and the ineffective group before treatment(P＞0.05).After 8 weeks of treatment,the FSA scores of patients in the two groups were significantly higher than those before treatment(P＜0.05).After 8 weeks of treatment,there was no significant difference in FSA scores of patients between the effective group and the ineffective group(P＞0.05).Before treatment and after 8 weeks of treatment,there was no significant correlation between the FSA scores and the total PANSS scores,positive factor scores,negative factor scores and pathological factor scores in the two groups(P＞0.05).There was no significant corre-lation between the pre-treatment FSA scores and the differences in positive factor scores,negative factor scores and pathological factor scores before and after treatment in both groups(P＞0.05).In the effective group,the FSA score was significantly nega-tively correlated with the spatial span score(P＜0.05)and significantly positively correlated with the category fluency score(P＜0.05)before treatment;however,there was no significant correlation between the pre-treatment FSA score and the scores of trail making,symbol coding,word learning,maze solving,visuospatial memory,2-digit continuous performance,3-digit continuous performance and 4-digit continuous performance(P＞0.05).In the ineffective group,there was a significant negative correlation between the pre-treatment FSA score and the spatial span and 4-digit continuous performance scores(P＜0.05),while there was no significant correlation between the pre-treatment FSA score and the scores of trail making,symbol coding,word learning,maze solving,visuospatial memory,category fluency,2-digit continuous performance and 3-digit continuous performance(P＞0.05).There was no significant correlation between the FSA score and cognitive function scores after treat-ment in the effective group(P＞0.05).There was a significant positive correlation between the FSA score and the trail making score after treatment in the ineffective group(P＜0.05),but there was no significant correlation between the FSA score and the scores of symbol coding,word learning,spatial span,maze solving,visuospatial memory,category fluency,2-digit continuous performance,3-digit continuous performance and 4-digit continuous performance(P＞0.05).Conclusion FSA scores in patients with schizophrenia increase significantly after treatment.FSA scores may not be related to the severity of symptoms or treatment response,but are correlated with the cognitive function of information processing speed.

Objective To investigate the neurobehavioral development of young children aged 24 to 60 months in Shunde and explore the factors influencing the development of young children and provide reference for the interven-tion of neurobehavioral development delays in young children.Methods A retrospective cohort study was used to enroll the young children who were initially screened by the Pediatric Neuropsychological Developmental Scale(Pe-diatric Heart Scale)with a score of ≤85 was included in the study.With a score of ≤85,the young children might be at risk of developmental delays,and needed to be further diagnosed by the GESELL Developmental Diagnostic Scale,the basic information of the young children and their mothers at the time of birth were investigated,as well as basic information about the young children at the time of completing the GESELL Developmental Diagnostic Scale was collected.Results A total of 271 young children were included,196 males and 75 females.Young children had the lowest developmental quotient(DQ)in the language domain among the five domains(P＜0.001).Multiple lin-ear regression models showed:compared with girls,the language domain DQ of boys decreased by 5.321 points(P=0.049,95％CI:-10.620--0.021),and the personal-social domain DQ decreased by 4.474 points(P=0.023,95％CI:-8.316--0.631).Compared with young children via natural vaginal delivery(NVD),the gross motor domain DQ of young children via caesarean section(CS)decreased by 4.890 points(P=0.008,95％CI:-8.499--1.281),the fine motor domain DQ decreased by 3.373 points(P=0.037,95％CI:-6.532--0.213),the language domain DQ decreased by 7.621 points(P=0.004,95％CI:-12.826--2.416),per-sonal-social domain DQ decreased by 6.232 points(P=0.001,95％CI:-10.006--2.457).The results of bi-nary logistic regression models showed,compared with young children via NVD,the risk of gross motor domain retar-dation in young children increased(OR=1.763,95％CI:1.003-3.100),the risk of fine motor domain retardation increased(OR=2.217,95％CI:1.235-3.980),the risk of language domain retardation increased(OR=3.306,95％CI:1.080-10.124).Conclusion Young children with suspected neurobehavioral delays were more likely to have delayed development in language domain than in other domains,boys had lower DQ in language domain and personal-social domain than girls,and the development of young children via CS was slower than that via NVD.Fo-cus should be on the language development of young children especially on the language and personal-social devel-opment of boys.Carefully chose delivery way.Focus should be placed on assessment of young children's comprehen-sive neurobehavioral development in early time.

Pregnant women are affected by various biological,psychological and social pressures,and the incidence of perinatal vulnerability is relatively high.The existence of perinatal vulnerability seriously affects the physical and mental health of pregnant women and infants.Attention to perinatal vulnerability can help reduce the risk of adverse matemal and infant outcomes.This paper reviews the concept,classification,assessment tools,influencing factors,intervention measures,limitations and prospects of perinatal vulnerability,providing references for formulating management programs of perinatal vulnerability.

Objective:To establish a multi-factor prediction model for vascular aging based on psychological behavior and physical exercise using nomogram and structural equation method.Methods:A total of 701 inpatients or physical examination patients who underwent carotid ultrasound examination in the Affiliated Hospital of Qingdao University from October 2021 to March 2023 were selected by cross-sectional method. The subjects were randomly divided into training queue( n=492) and verification queue( n=209) according to the ratio of 7∶3.The psychological and behavioral factors, lifestyle, demography and accompanying diseases data were collected. Multi-factor binary Logistic regression method in SPSS 25.0 software was used to screen independent influencing factors of vascular aging, R 4.2.2 software was used to build a nomogram prediction model of vascular aging, and the ROC curve, calibration chart and decision curve analysis were used to evaluate the nomogram, and AMOS software was used to build a structural equation model of vascular aging. Results:Multivariate Logistic regression analysis showed that type A behavior( B=1.757, OR(95% CI)=5.790(2.750-12.210), P<0.001), physical exercise( B=-3.019, OR(95% CI)=0.050(0.020-0.100), P<0.001), high-fat diet( B=0.679, OR(95% CI)=1.970(1.350-2.880), P<0.001), sleep quality( B=-1.451, OR(95% CI)=0.230(0.120-0.460), P<0.001), tea drinking habits( B=-2.349, OR(95% CI)=0.100(0.050-0.200), P<0.001), age( B=0.061, OR(95% CI)=1.060(1.020-1.110), P=0.005), sex( B=-1.263, OR(95% CI)=0.280(0.140-0.570), P<0.001), hyperlipidemia( B=0.679, OR(95% CI)=1.970(1.350-2.880), P<0.001) and diabetes( B=0.838, OR(95% CI)=2.310(1.140-4.700), P=0.021)were independent influencing factors of vascular aging. The nomogram model showed that type A behavior, physical exercise, high-fat diet, sleep quality, tea drinking habits, age, sex, hyperlipidemia and diabetes were independent influencing factors of vascular aging.Advanced age, type A behavior, hyperlipidemia, diabetes and the score of high-fat diet were risk factors for vascular aging, while better sleep quality, tea drinking habit and the score of physical exercise were protective factors for vascular aging.Men were more prone to vascular aging than women. Structural equation model showed that type A behavior had the strongest direct positive effect on vascular aging (the effect coefficient=0.197, P<0.01), and physical exercise had the strongest direct negative effect on vascular aging (the effect coefficient=-0.452, P<0.01), which could indirectly affect vascular aging through various factors. Conclusions:The nomogram model shows the independent influencing factors of vascular aging and has certain predictive value.Structural equation model shows that many factors such as psychological behavior and lifestyle can directly or indirectly affect the occurrence of vascular aging, among which type A behavior and physical exercise have more extensive effects.

Objective To investigate the expression levels and clinical significance of absolute counts of lymphocyte subsets and immunoglobulins (Ig) in peripheral blood of children with autism spectrum disorder (ASD). Methods Seventy-five children with ASD were selected as study group, and another 75 healthy children who underwent physical examination were selected as control group. Flow cytometry was used to detect the absolute counts of lymphocyte subsets (CD3⁺, CD4⁺, CD8⁺, CD19⁺, CD56⁺CD16⁺) and IgA, IgG, IgM levels in peripheral blood of both groups of children. Pearson correlation analysis was used to explore the correlation between each detection index and the total score of the Childhood Autism Rating Scale (CARS). Results The number of absolute counts of CD3⁺ and CD4⁺ in the study group were (62.49±8.71) and (34.87±7.86) in one μL, respectively, which were separately lower than (67.73±5.11) and (39.56±4.60)]in one μL in the control group (P < 0.05). There were no significant differences in the absolute counts of CD8⁺, CD19⁺, CD56⁺CD16⁺ between the two groups (P>0.05). The levels of IgA, IgG, IgM in the study group were (0.79±0.33), (8.39±2.03), (0.95±0.27), respectively, which were lower than (0.94±0.29), (9.28±1.37), (1.16±0.39) in the control group (P < 0.05). Pearson correlation analysis showed that IgA level was significantly negatively correlated with CARS total score (r= -0.317, P=0.034), while the absolute counts of CD3⁺, CD4⁺, CD8⁺, CD19⁺, CD56⁺CD16⁺ and IgG, IgM levels had no correlation with CARS total score (P>0.05). Conclusion Abnormal expression levels of lymphocyte subsets and Ig-mediated immune dysfunction are closely related to the occurrence of ASD in children. CD3⁺, CD4⁺, IgA, IgG, and IgM can be used as potential biological indicators for screening the immunological etiology of ASD in children, and IgA can be used as an indicator for evaluating the efficacy of ASD children with immunological etiology.