Objective To investigate the protective effect of Gynostemma pentaphyllum on memory of individuals rapidly ascending to high altitudes.Methods Twenty-one healthy subjects were randomly divided into a G.pentaphyllum food group(n=12)and a control group(n=9).The first group consumed G.pentaphyllum food for seven consecutive days while the control group received placebos.Both groups ascended from the plains to an altitude of 3600 m.Memory function was assessed using the matching memory and sequential memory tests of a cognitive evaluation system on day 1 and day 7 on the plains,and at 24 and 48 h after ascending to the high altitude.Scores of acute mountain sickness symptoms were also recorded.Results After 24 h of stay at the high altitude,the score of headache of the G.pentaphyllum food group was significantly lower than that of the control group(P＜0.05).Cognitive test results showed that the matching memory accuracy and sequential memory accuracy of the control group at 24 and 48 h were significantly lower than those on the plains(P＜0.05).In contrast,the G.pentaphyllum food group performed significantly better than the control group in these metrics(P＜0.05).Conclusion Regular consumption of G.pentaphyllum food can effectively alleviate headache symptoms in individuals rapidly ascending to high altitudes and mitigate the decline in working memory,short-term memory,and memory spans caused by acute hypoxic exposure.

Objective To explore the prognostic impact and clinical application value of therapeutic plasma exchange(TPE)intervention timing and liver injury periodization in patients with exertional heat stroke(EHS).Methods Data of 127 EHS patients from the First Medical Center of the General Hospital of the People′s Liberation Army from January 2011 to December 2023 were collected,then divided into the death group and the survival group based on therapeutic outcomes and into 5 stages according to the dynamic changes of ALT,AST,TBIL and DBIL.According to propensity score matching analysis,11 patients in the survival group and 12 patients in the death group were included in the statistical analysis,and 20 of them were treated with TPE.The changes in indicators and clinical outcomes before and after TPE were observed,in order to evaluate the impact of intervention timing on prognosis.Results Among the 23 patients,14 had no liver injury or could progress to the repair phase,resulting in 3 deaths(with the mortality rate of 21.43%),while 9 patients failed to pro-gress to the repair phase,resulting in 9 deaths(with the mortality rate of 100%),with significant differences(P＜0.05).The mortality rate of the first TPE intervention before the third stage of liver injury was 23.08%(3/13),while that of interven-tion after reaching or exceeding the third stage was 85.71%(6/7),and the difference was statistically significant(P＜0.05).Conclusion TPE should be executed actively in EHS patients combined with liver injury before the third phase to lock its pathological and physiological processes,thereby improving prognosis and reducing mortality.

Objective To review the occurrence of allergic reactions during therapeutic plasma exchange(TPE)and to explore the risk factors of TPE allergic reactions.Methods The clinical data of 929 patients treated with TPE using plasma components by the Department of Transfusion Medicine in our medical center from 2018 to 2023 were collected.The influen-cing factors of allergic reactions were analyzed by univariate analysis,and the independent risk factors of allergic reactions were analyzed by logistic multivariate regression analysis.Results A total of 4 071 TPEs were performed in 929 patients.A-mong them,198 patients(21.31%)experienced 349 times(8.57%)of allergic reactions,with the incidence of gradeⅠ,Ⅱ and Ⅲ allergic reactions of 16.33%,81.38%and 2.29%,respectively,and no deaths.The univariate analysis showed that the patient′s age,allergy history,diagnosis of immune-related diseases,ICU admission,plasma consumption,total blood volume,maximum blood flow rate and combined use of albumin were related to the occurrence of allergic reactions(P＜0.05).Multivariate regression analysis showed that young patients,a history of allergy,immune-related diseases and non-ICU patients were prone to allergic reactions in TPE,but the treatment options of TPE such as substitute fluid category,plasma consumption and blood flow rate were not related to the occurrence of allergic reactions.Conclusion There are sig-nificant individual differences in the occurrence of allergic reactions for TPE,and young age,history of allergies,immune-related diseases and non-ICU patients are risk factors for allergic reactions in TPE.Identifying patients with risk factors be-fore TPE treatment and giving corresponding preventive measures can reduce the incidence of allergic reactions.

ObjectiveTo investigate the effect of modified Baduanjin exercise, as an rehabilitation exercise, on cardiopulmonary function, motor function and activities of daily living in patients with stroke. MethodsFrom January to September, 2023, 42 stroke patients in the Nanjing Qixia District Hospital were randomly divided into control group (n = 21) and experimental group (n = 21). The control group received routine rehabilitation, and the experimental group received modified Baduanjin exercise in addition, for four weeks. They were assessed with peak oxygen uptake (VO_2peak), anaerobic threshold (AT), peak oxygen pulse (VO_2peak/HR), forced vital capacity (FVC), forced expiratory volume in the first second (FEV₁), peak expiratory flow (PEF), Fugl-Meyer Assessment-upper extremities (FMA-UE), Berg Balance Scale (BBS) and modified Barthel Index (MBI) before and after intervention. ResultsVO_2peak, AT, and the scores of FMA-UE, BBS and MBI improved in the control group after intervention (|t| > 2.256, |Z| > 2.936, P < 0.05); while VO_2peak, AT, VO_2peak/HR, FVC, FEV₁, PEF, and the scores of FMA-UE, BBS and MBI improved in the experimental group (|t| > 4.390, |Z| > 3.451, P < 0.001); and all the indexes were better in the experimental group than in the control group (|t| > 4.136，|Z| > 2.751，P < 0.01), except the scores of BBS and MBI. ConclusionModified Baduanjin exercise can improve the cardiopulmonary function and upper limb motor function for stroke patients.

Atopic dermatitis （AD） is a chronic， recurrent， inflammatory， and pruritus skin disease caused by multiple internal and external factors， ranking first in the global burden of skin diseases. Due to the adverse reactions and high costs of conventional treatments and biologics， the development of natural products has attracted much attention. The nuclear factor-κB （NF-κB） signaling pathway is a key pathway for inhibiting inflammation and modulating immunity. This paper summarizes the pharmacological effects and molecular mechanisms of natural products such as flavonoids， alkaloids， phenols， terpenoids， coumarins， glycosides， and anthraquinones via NF-κB signaling pathway， aiming to provide guidance for the development of natural products. Basic studies have shown that natural products have high safety and efficacy. Oral or topical administration of natural products can regulate the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）， mitogen-activated protein kinase （MAPK）， nuclear factor erythroid 2-related factor 2 （Nrf2）， high mobility group box 1 protein （HMGB1）/receptor for advanced glycation endproducts （RAGE）， and nucleotide-binding oligomerization domain-like receptor protein 3 （NLRP3） signaling pathways to exert anti-inflammatory， anti-allergy， antioxidant activities， thus reversing the pathological changes of AD. However， it is worth noting that the clinical application of natural products is still insufficient， and more rigorous clinical trials are still needed to verify their effects. The basic experiments and clinical evidence prove that natural products may play a role in alleviating AD， which provide a basis for evaluating the functioning mechanism of natural active substances and enrich the candidates for the development of potential drugs.

Objective To explore the network structure of anxiety,depression and sleep among individuals under long-term high-altitude exposure.Methods A total of 303 subjects who had resided at high altitudes for more than 6 months on end were selected.The insomnia severity index(ISI),patient health questionnaire(PHQ-9),and generalized anxiety disorder scale(GAD-7)were employed to assess insomnia,depression and anxiety before network analysis was conducted to identify the central and bridge nodes in the symptom network.Results The incidence of moderate or severe depression,anxiety and insomnia were 38.9％[95％confidence interval(CI):33.4％-44.5％],23.1％(95％CI:18.3％-27.9％),and 18.5％(95％CI:14.1％-22.9％),respectively."Noticeability of sleep problems by others"had the highest expected influence centrality,followed by"sleep maintenance""uncontrollable worry""restlessness"and"sleep problems".Five bridge symptoms were identified:"sad mood""sleep problems""restlessness""feeling afraid"and"trouble relaxing".Conclusion Sleep-related symptoms play a crucial role in the overall network structure,serving as both central and bridge nodes.Additionally,the"feeling down or depressed"acts as a bridge node and holds importance in the comorbidity network of anxiety and depression.Targeting these key symptoms through intervention and prevention strategies may improve the psychological well-being of individuals with long-term residence in high-altitude regions.

Objective To investigate the correlation between the level expression of serum CC motif chemokine ligand 25(CCL25)and soluble trem-like transcript-1(sTLT-1)in patients with acute massive hemorrhage and the occurrence of transfusion-related acute lung injury(TRALI).Methods A total of 126 patients with acute massive bleeding admitted to Bazhong Central Hospital from August 2021 to July 2023 were selected as the study subjects.The Murray lung injury score was used to determine whether the patients had TRALI during the blood transfusion process.Patients with TRALI were assigned to the study group(n=32),while those without TRALI were assigned to the control group(n=94).The general clinical and pathological data of patients in the two groups were compared.Enzyme-linked immunosorbent assay(ELISA)was applied to detect the levels of serum CCL25 and sTLT-1 of patients in two groups before and after 6 hours of blood transfusion.Spearman method was applied to analyze the correlation between serum CCL25,sTLT-1,and Murray lung injury score.The predictive value of CCL25 and sTLT-1 for TRALI in patients with acute massive hemorrhage was analyzed using the receiver operating characteristic(ROC)curve.Results The levels of serum CCL25(15.33±2.06 ng/ml)and sTLT-1(580.19±55.62 pg/ml)in the study group after 6 hours of blood transfusion were higher than before blood transfusion(12.86±1.24 ng/ml,486.33±49.25 pg/ml)and control group(12.57±1.35 ng/ml,474.47±55.42 pg/ml),and the differences were statistically significant(t=5.811,8.477;5.634,8.339,all P＜0.05).There was no statistically significant difference between the CCL25(12.85±2.18ng/ml)and sTLT-1(489.63±52.18 pg/ml)expression levels in the control group patients after 6 hours of blood transfusion and before transfusion(t=1.059,1.931,all P＞0.05).The levels of serum CCL25 and sTLT-1 after 6 hours of transfusion in the study group were positively correlated with Murray lung injury score(r=0.735,0.625,all P＜0.05).The AUCs of serum CCL25 and sTLT-1 for predicting the occurrence of TRALI in patients with acute massive hemorrhage were 0.810 and 0.877,respectively,with cutoff values of 14.609 ng/ml and 512.583 pg/ml.The AUC of combined prediction of CCL25 and sTLT-1 was 0.949,indicating a higher predictive value for TRALI in patients with acute massive hemorrhage(Z=0.139,0.072,all P＜0.05).Conclusion The expression levels of CCL25 and sTLT-1 in the serum of patients with acute massive hemorrhage complicating TRALI were increased,and there was a correlation between the two and Murray lung injury score.The combined diagnosis of serum CCL25 and sTLT-1 has predictive value for the occurrence of TRALI in patients with acute massive hemorrhage.

Objective:This study aims to explore the predictive value of T2-weighted imaging (T2WI), apparent diffusion coefficient (ADC), and early-delayed phases enhanced magnetic resonance imaging (DCE-MRI) radiomics prediction model in determining human epidermal growth factor receptor 2 status in breast cancer.Methods:A retrospective study was conducted, involving 187 patients with confirmed breast cancer by postsurgical pathology at Zhenjiang First People's Hospital during January 2021 and May 2023. Immunohistochemistry or fluorescence in situ hybridization was used to determine the HER-2 status of these patients, with 48 cases classified as HER-2 positive and 139 cases as HER-2 negative. The training set was used to construct the prediction models and the validation set was used to verify the prediction models. Layers of T2WI, ADC, and early-delayed phase DCE-MRI images were used to delineate the volumeof interest and 960 radiomic features were extracted from each case using Pyradiomic. After screening and dimensionality reduction by intraclass correlation coefficient, Pearson correlation analysis, least absolute shrinkage, and selection operator, the radiomics labels were established. Logistic regression analysis was used to construct the T2WI radiomics model, ADC radiomics model, DCE-2 radiomics model, DCE-6 radiomics model, and the joint sequence radiomics model to predict the HER-2 expression status of breast cancer, respectively. Based on the clinical, pathological, and MRI image characteristics of patients, univariate and multivariate logistic regression analysis wasused to construct a clinicopathological MRI feature model. The radscore of every patient and the clinicopathological MRI features which were statistically significant after screening were used to construct a nomogram model. The receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of each model and the decision curve analysis wasused to evaluate the clinical usefulness.Results:The T2WI, ADC, DCE-2, DCE-6, and joint sequence radiomics models, the clinicopathological MRI feature model, and the nomogram model were successfully constructed to predict the expression status of HER-2 in breast cancer. ROC analysis showed that in the training set and validation set, the areas under the curve (AUC) of the T2WI radiomics model were 0.797 and 0.760, of the ADC radiomics model were 0.776 and 0.634, of the DCE-2 radiomics model were 0.804 and 0.759, of the DCE-6 radiomics model were 0.869 and 0.798, of the combined sequence radiomics model were 0.908 and 0.847, of the clinicopathological MRI feature model were 0.703 and 0.693, and of the nomogram model were 0.938 and 0.859, respectively. In the training set, the combined sequence radiomics model outperformed the clinicopathological features model ( P＜0.001). In the training and validation sets, the nomogram outperformed the clinicopathological features model ( P＜0.05). In addition, the diagnostic performance of the nomogram was better than that of the four single-modality radiomics models in the training cohort ( P＜0.05) and was better than that of DCE-2 and ADC models in the validation cohort ( P＜0.05). Decision curve analysis indicated that the value of individualized prediction models was higher than clinical and pathological prediction models in clinical practice. The calibration curve showed that the multimodal radiomics model had a high consistency with the actual results in predicting HER-2 expression. Conclusions:T2WI, ADC and early-delayed phase DCE-MRI imaging histology models for HER-2 expression status in breast cancer are expected to provide a non-invasive virtual pathological basis for decision-making on preoperative neoadjuvant regimens in breast cancer.

Objective:This study aims to explore the predictive value of T2-weighted imaging (T2WI), apparent diffusion coefficient (ADC), and early-delayed phases enhanced magnetic resonance imaging (DCE-MRI) radiomics prediction model in determining human epidermal growth factor receptor 2 status in breast cancer.Methods:A retrospective study was conducted, involving 187 patients with confirmed breast cancer by postsurgical pathology at Zhenjiang First People's Hospital during January 2021 and May 2023. Immunohistochemistry or fluorescence in situ hybridization was used to determine the HER-2 status of these patients, with 48 cases classified as HER-2 positive and 139 cases as HER-2 negative. The training set was used to construct the prediction models and the validation set was used to verify the prediction models. Layers of T2WI, ADC, and early-delayed phase DCE-MRI images were used to delineate the volumeof interest and 960 radiomic features were extracted from each case using Pyradiomic. After screening and dimensionality reduction by intraclass correlation coefficient, Pearson correlation analysis, least absolute shrinkage, and selection operator, the radiomics labels were established. Logistic regression analysis was used to construct the T2WI radiomics model, ADC radiomics model, DCE-2 radiomics model, DCE-6 radiomics model, and the joint sequence radiomics model to predict the HER-2 expression status of breast cancer, respectively. Based on the clinical, pathological, and MRI image characteristics of patients, univariate and multivariate logistic regression analysis wasused to construct a clinicopathological MRI feature model. The radscore of every patient and the clinicopathological MRI features which were statistically significant after screening were used to construct a nomogram model. The receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of each model and the decision curve analysis wasused to evaluate the clinical usefulness.Results:The T2WI, ADC, DCE-2, DCE-6, and joint sequence radiomics models, the clinicopathological MRI feature model, and the nomogram model were successfully constructed to predict the expression status of HER-2 in breast cancer. ROC analysis showed that in the training set and validation set, the areas under the curve (AUC) of the T2WI radiomics model were 0.797 and 0.760, of the ADC radiomics model were 0.776 and 0.634, of the DCE-2 radiomics model were 0.804 and 0.759, of the DCE-6 radiomics model were 0.869 and 0.798, of the combined sequence radiomics model were 0.908 and 0.847, of the clinicopathological MRI feature model were 0.703 and 0.693, and of the nomogram model were 0.938 and 0.859, respectively. In the training set, the combined sequence radiomics model outperformed the clinicopathological features model ( P＜0.001). In the training and validation sets, the nomogram outperformed the clinicopathological features model ( P＜0.05). In addition, the diagnostic performance of the nomogram was better than that of the four single-modality radiomics models in the training cohort ( P＜0.05) and was better than that of DCE-2 and ADC models in the validation cohort ( P＜0.05). Decision curve analysis indicated that the value of individualized prediction models was higher than clinical and pathological prediction models in clinical practice. The calibration curve showed that the multimodal radiomics model had a high consistency with the actual results in predicting HER-2 expression. Conclusions:T2WI, ADC and early-delayed phase DCE-MRI imaging histology models for HER-2 expression status in breast cancer are expected to provide a non-invasive virtual pathological basis for decision-making on preoperative neoadjuvant regimens in breast cancer.