In view of the few studies on the influence of Armillaria spp. infection on the content of the chemical components in different parts of Polyporus umbellatus sclerotia, this study determined the biomass of P. umbellatus sclerotia and the contents of ergosterol, polyporusterone A, polyporusterone B and polysaccharide in the separated cavity wall of the sclerotia and the uninfected part of the sclerotia in different harvesting years under the conditions of A. gallica and A. mellea infection respectively. According to the difference of content and dynamic changes of the polysaccharide and the steroid substances, the superior Armillaria sp. was screened to obtain the best harvest years of P. umbellatus. Using HPLC and UV-VIS spectrophotometry methods, the contents of ergosterol, polyporusterone A, polyporusterone B and polysaccharide in P. umbellatus sclerotia infected by the two Armillaria spp. in different years were determined. In addition, the differentially expressed genes related to P. umbellatus polysaccharide synthesis were screened according to the transcriptomic data of different parts of P. umbellatus after A. mellea infection. With the increase of years, the biomass of sclerotia infected by different Armillaria spp. had significant differences, and there were significant differences in the four components of sclerotia. The four components of the separated cavity wall of the sclerotia were significantly higher than those of the uninfected part. The best harvest time was the third year after cultivation. Transcriptomic analysis showed that the infection of Armillaria spp. could significantly promote polysaccharide synthesis, which provided a basis for polysaccharide content determination at the molecular level. The study clarified the influence of different Armillaria spp. infection on the accumulation of chemical components of P. umbellatus sclerotia, laying a foundation for exploring the symbiosis mechanism and provided a scientific clue for screening superior Armillaria sp. and guiding the artificial cultivation of P. umbellatus sclerotia.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Quercetin can mediate the activation of mitogen-activated protein kinase(MAPK)signaling pathways to prevent osteoporosis(OP).This paper comprehensively discusses the interrelationship between MAPK and osteoporosis-related cells based on the latest domestic and international research.Additionally,it elucidates the research progress of quercetin in mediating the MAPK signaling pathway for OP prevention.The aim is to provide an effective foundation for the clinical prevention and treatment of OP and the in-depth development of quercetin.

The objective of this study was to observe the effect of Astragalus membranaceus on high sugar-induced Caenorhabditis elegans, and to explore its mechanism of action. UPLC-MS method was used to identify the components of Astragalus membranaceus. A high glucose model was established by using Caenorhabditis elegans as a model organism, and the effects of Astragalus membranaceus on body length, body bending, swallowing frequency, and reactive oxygen species (ROS) of the nematode were determined; the effects of Astragalus membranaceus on the expression of mRNA of genes related to the protein skinhead-1 (SKN-1) signaling pathway were examined by using the real-time fluorescence quantitative polymerase chain reaction (PCR). The results showed that compared with the normal group, the nematode body length, body bending, and swallowing frequency expression were significantly reduced and the ROS content in the body was significantly increased in the high glucose state; after the administration of Astragalus membranaceus, the body length, body bending, and swallowing frequency expression were significantly increased, and the ROS content was significantly reduced (P < 0.01). Compared with the normal group, SKN-1, superoxide dismutas-3 (SOD-3), glutathione S-transferase 4 (GST-4), and glutathione S-transferase 7 (GST-7) expression were significantly decreased in Caenorhabditis elegans in the high glucose condition; SKN-1, SOD-3, GST-4, and GST-7 expression were significantly increased after administration of Astragalus membranaceus (P < 0.01). In the present study, we demonstrated that Astragalus membranaceus has an effect on high glucose-induced Caenorhabditis elegans nematodes, and its mechanism of action may be through the modulation of the SKN-1 signaling pathwaym in order to ameliorate the oxidative stress response induced by high glucose.

Objective To investigate the clinical characteristics of stasis-toxin pathogenesis in patients with non-small cell lung cancer(NSCLC)of blood stasis and qi stagnation type,and to explore the interventional mechanism of adjuvant therapy with Bufei Huayu Decoction.Methods Seventy-eight patients with NSCLC of blood stasis and qi stagnation type admitted to the Department of Respiratory Medicine of Liu'an Hospital of Traditional Chinese Medicine from January 2021 to September 2022 were selected as the NSCLC group,and 71 volunteers who underwent physical examination during the same period served as the healthy control group.The clinical characteristics of stasis-toxin pathogenesis in the NSCLC group were observed,and the differences in the indicators of coagulation function were compared between NSCLC group and the healthy control group.According to the therapy,the NSCLC patients were divided into Bufei Huayu Decoction group(40 cases)and conventional treatment group(38 cases).The conventional treatment group was treated with conventional chemotherapy,while Bufei Huayu Decoction group was treated with Bufei Huayu Decoction together with conventional chemotherapy.Three weeks constituted one course of treatment,and the treatment lasted for 2 courses.The changes of traditional Chinese medicine(TCM)syndrome scores,Karnofsky Performance Status(KPS)score,coagulation function,immune function,serum nitric oxide(NO),vascular endothelial growth factor(VEGF)level in Bufei Huayu Decoction group and conventional treatment group were observed before and after treatment.Moreover,the clinical efficacy of the two groups and the occurrence of adverse reactions were compared during the treatment period.Results(1)NSCLC patients were classified into the clinical stages Ⅲ and Ⅳ and the pathological types of squamous carcinoma and adenocarcinoma,had the high proportion of KPS scores lower than 70,and were scored with high TCM syndrome scores,suggesting that the illness condition of patients with NSCLC was serious.Compared with the healthy control group,plasminogen time(PT)and thrombin time(TT)in NSCLC patients were significantly shortened,and levels of fibrinogen(FIB)and D-dimer(D-D)were significantly increased,and the differences were statistically significant(P＜0.01).(2)After 6 weeks of treatment,the total effective rate and total stability rate of Bufei Huayu Decoction group were 32.50%(13/40)and 85.00%(34/40),which were significantly superior to those of the conventional treatment group[versus 13.16%(5/38)and 60.53%(23/38)],and the differences were statistically significant(P＜0.05).(3)After 3 weeks of treatment,obvious improvement was presented in the scores of all the TCM symptoms of fatigue,chest distress and shortness of breath,stabbing pain in the chest,and blood stasis in the vessels and collaterals of Bufei Huayu Decoction group and in the scores of the fatigue,chest distress and shortness of breath of the conventional treatment group when compared with those before treatment(P＜0.05).After 6 weeks of treatment,all of the TCM syndrome scores of the two groups were improved compared with those before treatment and after three weeks of treatment(P＜0.05).The intergroup comparison showed that except for the scores of chest distress and shortness of breath after 3 weeks of treatment,the effect on improving all of the TCM syndrome scores in Bufei Huayu Decoction group was significantly superior to that in the conventional treatment group after 3 and 6 weeks of treatment(P＜0.05 or P＜0.01).(4)After 6 weeks of treatment,the levels of coagulation function indicators of PT,TT,FIB and D-D in the Bufei Huayu Decoction group were significantly improved compared with those before treatment(P＜0.05),while only FIB and D-D in the conventional treatment group were improved compared with those before treatment(P＜0.05).The intergroup comparison showed that Bufei Huayu Decoction group had stronger effect on improving the levels of PT,FIB and D-D than the conventional treatment group(P＜0.05).(5)After 6 weeks of treatment,the serum NO and VEGF levels in both groups were significantly lower than those before treatment(P＜0.05),and the effect on lowering serum NO and VEGF levels of the Bufei Huayu Decoction group was significantly superior to that of the conventional treatment group(P＜0.01).(6)After 6 weeks of treatment,the immune function parameters of CD3+,CD4+ levels and CD4+/CD8+ ratio in the Bufei Huayu Decoction group were increased(P＜0.05)and CD8+level was decreased(P＜0.05)as compared with those before treatment,whereas CD3+,CD4+ levels and CD4+/CD8+ ratio in the conventional treatment group were decreased(P＜0.05)and CD8+ level was increased(P＜0.05).The intergroup comparison showed that the effect of Bufei Huayu Decoction group on the increase of CD3+,CD4+ levels and CD4+/CD8+ ratio and the effect on the decrease of CD8+ level were significantly superior to those of the conventional treatment group(P＜0.01).(7)In terms of the quality of life,the KPS scores of patients in the two groups after 6 weeks of treatment were significantly higher than those before treatment(P＜0.05),and the effect of Bufei Huayu Decoction group on the increase of KPS scores was significantly superior to that of the conventional treatment group(P＜0.01).(8)During the course of treatment,the incidence of adverse reactions such as gastrointestinal reactions and alopecia in the two groups was not statistically significant(P＞0.05),while the incidence of hepatic and renal impairment,bone marrow suppression,and toxicity of oral mucosa in Bufei Huayu Decoction group was significantly lower than that of the conventional treatment group(P＜0.05 or P＜0.01),suggesting that Bufei Huayu Decoction group reduced the adverse reactions induced by chemotherapy to a certain extent.Conclusion Patients with NSCLC of blood stasis and qi stagnation type generally have advanced disease progression and high blood coagulation,which is consistent with the stasis-toxin pathogenesis in TCM.The use of Bufei Huayu Decoction against the stasis-toxin pathogenesis can significantly improve patients'TCM syndrome scores and coagulation function,down-regulate the levels of serum NO and VEGF,and improve the immune function,which brings about the enhancement of clinical efficacy and quality of life,and the reduction of adverse reactions caused by chemotherapy,with a high safety.

Objective:To construct a representative index system for evaluating pediatric orthopedic nursing quality, providing a basis for hospital pediatric orthopedic nursing quality assessment and monitoring.Methods:From April to July 2023, using the "structure-process-outcome" three-dimensional quality structure model as the theoretical framework, a literature review was conducted, and an item pool was formulated. Through two rounds of Delphi method expert consultations, the hierarchical analysis method was finally employed to determine the indicators and their weights at each level.Results:The effective recovery rates of the questionnaire of the two rounds of expert consultations were 100% (20/20), the authority coefficients of experts were 0.87 and 0.88, the coefficients of variation were 0.00 to 0.27 and 0.00 to 0.24. The Kendell harmony coefficients of the second and third indicators in the two rounds of inquiry were 0.140, 0.166 and 0.192, 0.161(all P<0.05). The final pediatric orthopedic nursing quality evaluation index system included 3 primary indicators, 21 secondary indicators and 83 tertiary indicators. Among the primary indicators, the weight of process quality was the highest at 0.493 4, followed by outcome quality at 0.310 8, and the lowest was structural quality at 0.195 8. In the secondary indicators, "assessment criteria of limb blood circulation" had the highest weight at 0.099 8. Conclusions:The constructed pediatric orthopedic nursing quality evaluation index system covers key aspects and is more operationally feasible. It provides better guidance for nursing interventions and quality control.