Objective To construct a nursing follow-up checklist for patients undergoing autologous hematopoietic stem cell transplantation,providing a basis for postoperative follow-up care.Methods Using evidence-based methods,the literature from major guide websites and databases using Chinese and English search terms was retrieved,and their quality was evaluated.The relevant items were extracted,and a first draft was formed.15 experts were selected in relevant fields from 14 tertiary hospitals in 13 provinces,cities,and autonomous regions across the country for Delphi inquiry.The nursing follow-up checklist was revised again based on expert opinions and clinical practice.The nursing follow-up checklist was initially applied and then revised again to form the final draft.Results 15 experts include 12 undergraduate and 3 master's degree holders.The positivity coefficients of the 2 rounds of inquiry were 100％;the authority coefficients of the experts were 0.815;the Kendall coefficients were 0.119 and 0.144,respectively;the differences were statistically significant(P＜0.001).The final nursing follow-up checklist was formed,which includes 6 primary indicators,including physiological status,psychological status,social and family support,living conditions,disease knowledge,and laboratory tests.19 patients(95％)found the follow-up content to be comprehensive.The follow-up nurses's satisfaction rate exceeded 85％.There were 27 secondary indicators and 61 tertiary indicators,with coefficients of variation of all indicators less than 0.25.Conclusion The nursing follow-up checklist is scientific,reliable,and practical,which can provide a basis for clinical nursing staff to follow up and comprehensively manage patients after autologous hematopoietic stem cell transplantation.

Objective To construct a model for predicting the risk of essential hypertension accompanied by left ventricular hypertrophy using machine learning algorithms based on pulse diagram parameters;To explore its clinical application value.Methods A total of 295 patients with essential hypertension who were hospitalized in Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine,Shanghai Hospital of Traditional Chinese Medicine and Shanghai Hospital of Integrated Traditional Chinese and Western Medicine were selected from July 2020 to May 2021 and July 2023 to July 2024.According to the echocardiographic results,the selected research subjects were divided into the essential hypertension with left ventricular hypertrophy group(referred to as the"LVH group")and the essential hypertension without left ventricular hypertrophy group(referred to as the"non-LVH group").The general data and clinical biochemical indicators were collected,and the pulse diagram parameters of the patients were detected using the SMART-I type TCM digital pulse analyzer.A clinical prediction model was constructed based on decision tree,support vector machine and extreme gradient boosting model algorithms.The predictive performance of the model was evaluated in terms of discrimination,calibration and clinical prediction ability by using the receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis respectively.The influence of each predictive factor on the risk of LVH in essential hypertension was explained based on the SHAP algorithm.Results Compared with the non-LVH group,the BMI,the proportion of males,drinkers and smokers was lower in the LVH group,with statistical significance(P<0.05);the thickened ventricular wall,left ventricular internal dimension enlargement,left common carotid artery intima-media thickness and high density lipoprotein cholesterol were higher in the LVH group than in the non-LVH group(P<0.05);the left common carotid peak systolic velocity,left common carotid resistance index,serum uric acid and serum creatinine were lower in the LVH group than in the non-LVH group(P<0.05).The pulse diagram parameters T4,T,W1,W2,H3/H1 and H4/H1 were higher in the LVH group than in the non-LVH group(P<0.05).The areas of the ROC curves of the models constructed by the three types of machine learning algorithms were 0.887,0.962 and 0.873 respectively,indicating that the model had good discrimination and certain diagnostic efficacy.The calibration curve suggested that the prediction accuracy of the model was average;the clinical decision curve showed that XGBoost model has a higher net benefit.Conclusion The interpretable model constructed based on pulse diagram parameters and machine learning algorithms can be used as a reliable tool for predicting the risk of essential hypertension with LVH.

Objective To construct a model for predicting the risk of essential hypertension accompanied by left ventricular hypertrophy using machine learning algorithms based on pulse diagram parameters;To explore its clinical application value.Methods A total of 295 patients with essential hypertension who were hospitalized in Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine,Shanghai Hospital of Traditional Chinese Medicine and Shanghai Hospital of Integrated Traditional Chinese and Western Medicine were selected from July 2020 to May 2021 and July 2023 to July 2024.According to the echocardiographic results,the selected research subjects were divided into the essential hypertension with left ventricular hypertrophy group(referred to as the"LVH group")and the essential hypertension without left ventricular hypertrophy group(referred to as the"non-LVH group").The general data and clinical biochemical indicators were collected,and the pulse diagram parameters of the patients were detected using the SMART-I type TCM digital pulse analyzer.A clinical prediction model was constructed based on decision tree,support vector machine and extreme gradient boosting model algorithms.The predictive performance of the model was evaluated in terms of discrimination,calibration and clinical prediction ability by using the receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis respectively.The influence of each predictive factor on the risk of LVH in essential hypertension was explained based on the SHAP algorithm.Results Compared with the non-LVH group,the BMI,the proportion of males,drinkers and smokers was lower in the LVH group,with statistical significance(P<0.05);the thickened ventricular wall,left ventricular internal dimension enlargement,left common carotid artery intima-media thickness and high density lipoprotein cholesterol were higher in the LVH group than in the non-LVH group(P<0.05);the left common carotid peak systolic velocity,left common carotid resistance index,serum uric acid and serum creatinine were lower in the LVH group than in the non-LVH group(P<0.05).The pulse diagram parameters T4,T,W1,W2,H3/H1 and H4/H1 were higher in the LVH group than in the non-LVH group(P<0.05).The areas of the ROC curves of the models constructed by the three types of machine learning algorithms were 0.887,0.962 and 0.873 respectively,indicating that the model had good discrimination and certain diagnostic efficacy.The calibration curve suggested that the prediction accuracy of the model was average;the clinical decision curve showed that XGBoost model has a higher net benefit.Conclusion The interpretable model constructed based on pulse diagram parameters and machine learning algorithms can be used as a reliable tool for predicting the risk of essential hypertension with LVH.

Objective To establish an inductively coupled plasma-mass spectrometry(ICP-MS)method for the analysis of 29 mineral elements in Artemisiae Argyi Folium(AAF),and to develop a model for judging the origin of AAF based on the elemental fingerprint combined with chemometrics.Methods The variance method was used to compare the contents of 29 mineral elements in AAF samples from Qichun of Hubei province,Hebei province and Henan province,respectively.The discriminant models of AAF from different habitats were established by discriminant analysis,PLS-DA and PCA-Logistic regression algorithms.Results The differences of the 22 elements(V,Cr,Ni,As,Se,Rb,Mo,Cd,Sb,Ba,Hg,Pb,K,Li,B,Mg,Al,P,Ca,Fe,Zn,and Ga)in samples from Qichun of Hubei province,Hebei province and Henan province are extremely significant(P＜0.01).The discriminant analysis model showed that eight kinds of element variables(P,Cr,K,Li,Hg,Ba,Mg,and Mo),which have a significant effect on the origin discrimination are gradually introduced into the discriminant model,and the correct rate of back test is 100％.The correct rate of"leave one method"cross-validation is 96.7％.The PLS-DA model showed good prediction ability,and the variable importance projection values of K,P and Mg elements were greater than one,which could be used as the difference marker of AAF from different habitats.The accuracy of the origin discrimination model constructed by PC A-Logistic regression analysis was 100％.The elements with high first principal component loadings were Li,B,Mg,Al,P,K,Ca,V,Cr,Fe,Ni,Zn,As,Rb,Cd,Sb,and Ba.Conclusion This study shows that elemental fingerprint technology combined with chemometric analysis can identify AAF from Qichun of Hubei province,Hebei province,or Henan,providing technical support for the traceability of the origin of Artemisia argyi.

Objective To construct a nursing follow-up checklist for patients undergoing autologous hematopoietic stem cell transplantation,providing a basis for postoperative follow-up care.Methods Using evidence-based methods,the literature from major guide websites and databases using Chinese and English search terms was retrieved,and their quality was evaluated.The relevant items were extracted,and a first draft was formed.15 experts were selected in relevant fields from 14 tertiary hospitals in 13 provinces,cities,and autonomous regions across the country for Delphi inquiry.The nursing follow-up checklist was revised again based on expert opinions and clinical practice.The nursing follow-up checklist was initially applied and then revised again to form the final draft.Results 15 experts include 12 undergraduate and 3 master's degree holders.The positivity coefficients of the 2 rounds of inquiry were 100％;the authority coefficients of the experts were 0.815;the Kendall coefficients were 0.119 and 0.144,respectively;the differences were statistically significant(P＜0.001).The final nursing follow-up checklist was formed,which includes 6 primary indicators,including physiological status,psychological status,social and family support,living conditions,disease knowledge,and laboratory tests.19 patients(95％)found the follow-up content to be comprehensive.The follow-up nurses's satisfaction rate exceeded 85％.There were 27 secondary indicators and 61 tertiary indicators,with coefficients of variation of all indicators less than 0.25.Conclusion The nursing follow-up checklist is scientific,reliable,and practical,which can provide a basis for clinical nursing staff to follow up and comprehensively manage patients after autologous hematopoietic stem cell transplantation.

Immune suppression in the tumor microenvironment (TME) is closely related to abnormal glycolysis. Tumor cells gain metabolic advantages and suppress immune responses through the "Warburg effect". Traditional Chinese medicine (TCM) has been shown to regulate key glycolysis enzymes (such as HK2 and PKM2), metabolic signaling pathways (such as PI3K/AKT/mTOR, HIF-1α) and non-coding RNAs at multiple targets, thus synergistically inhibiting lactate accumulation, improving vascular abnormalities, and relieving metabolic inhibition of immune cells. Studies have shown that TCM monomers and formulas can promote immune cell infiltration and functions, improve metabolic microenvironment, and with the assistance by the nano-delivery system, enhance the precision of treatment. However, the dynamic mechanism of the interaction between TCM-regulated glycolysis and TME has not been fully elucidated, for which single-cell sequencing and other technologies provide important technical support to facilitate in-depth analysis and clinical translational research. Future studies should be focused on the synergistic strategy of "metabolic reprogramming-immune activation" to provide new insights into the mechanisms of tumor immunotherapy.
Humans ; Tumor Microenvironment/immunology* ; Glycolysis/drug effects* ; Neoplasms/drug therapy* ; Medicine, Chinese Traditional ; Signal Transduction ; Drugs, Chinese Herbal/pharmacology*

OBJECTIVE: Therapeutic angiogenesis has become a promising approach for treating ischemic heart disease (IHD). The present study aims to investigate the effects of Qishen Granule (QSG) on angiogenesis in myocardial ischemia (MI) and the potential mechanism. METHODS: In vivo study was conducted on rat model of myocardial infarction. QSG was performed daily at a dose of 2.352 g/kg for four weeks. Cardiac function was assessed by echocardiogram and pro-angiogenic effects were evaluated by Laser Doppler and CD31 expression. Oxygen-glucose deprivation (OGD) was applied in cultured human umbilical vein endothelial cells (HUVECs). Cell viability, wound healing and tube formation assay were used to test functions of HUVECs. ELISA and Western blots were used to assess protein expressions of bone morphogenetic protein 2-delta-like 4-notch homolog 1 (BMP2-Dll4-Notch1) signaling pathway. RESULTS: The results showed that QSG improved heart function, cardiac blood flow and microvessel density in myocardial ischemic rats. In vitro, QSG protected HUVECs by promoting the cell viability and tube formation. QSG upregulated bone morphogenetic protein-2 (BMP2) and downregulated delta-like 4 (Dll4) and notch homolog 1 (Notch1) expressions both in rats and HUVECs. CONCLUSION QSG protected against MI by promoting angiogenesis through BMP2-Dll4-Notch1 pathway. BMP2 might be a promising therapeutic target for IHD.

ObjectiveTo explore the role and mechanism of Hei Xiaoyaosan in regulating the protein kinase B （Akt）/glycogen synthase kinase-3β （GSK-3β）/nuclear factor E₂-related factor 2 （Nrf2）/heme oxygenase-1 （HO-1） signaling pathway in cascade modulation of oxidative stress and apoptosis for preventing and treating Alzheimer's disease （AD）. MethodsNinety male SD rats of 4 months old were randomly assigned into a control group （n=10）， a sham group （with injection of 1 μL normal saline into bilateral hippocampi， n=10）， and a modeling group （with injection of 1 μL beta-amyloid 1-42 solution into bilateral hippocampi to induce AD， n=70）. One week after modeling， 50 successfully modeled rats were selected and randomly allocated into model， donepezil hydrochloride （0.45 mg·kg^-1）， and high-， medium-， and low-dose （15.30， 7.65， 3.82 g·kg^-1， respectively） Hei Xiaoyaosan groups. The rats were administrated with corresponding drugs once daily for six consecutive weeks. The Morris water maze was used to assess the learning and memory abilities of rats. Hematoxylin-eosin （HE） staining was performed to reveal hippocampal morphological changes in AD rats. Apoptosis in the hippocampal CA3 region was detected by terminal-deoxynucleotidyl transferase-mediated Nick end labeling. Immunofluorescence was used to visualize the expression of neuronal nuclear antigen （NeuN） in the CA1 region. Additionally， enzyme-linked immunosorbent assay was performed to assess the activities of glutathione peroxidase （GSH-Px）， glutathione-S-transferase （GST）， and catalase （CAT） in the hippocampus. Real-time PCR was conducted to measure the mRNA levels of Akt， GSK-3β， Nrf2， and HO-1， while Western blot was employed to determine the protein levels of phosphorylated Akt （p-Akt）/Akt， phosphorylated GSK-3β （p-GSK-3β）/GSK-3β， Nrf2， and HO-1. ResultsCompared with the control group， the model group on day 5 showed an increase in total swimming distance （P<0.01）， a reduction in the percentage of time spent in the target quadrant （P<0.01）， reduced and disarranged neurons， nuclear condensation， varying degrees of cellular damage， increased apoptosis of hippocampal neurons （P<0.01）， decreased NeuN content （P<0.01）， weakend activities of GSH-Px， GST， and CAT （P<0.01）， and down-regulated mRNA levels of Nrf2 and HO-1 （P<0.01） and protein levels of p-Akt/Akt， p-GSK-3β/GSK-3β， Nrf2， and HO-1 （P<0.01） in the hippocampus. Compared with the model group， donepezil hydrochloride and high， medium， and low doses of Hei Xiaoyaosan shortened the total swimming distance on day 5 （P<0.05， P<0.01）， increased the percentage of time spent in the target quadrant （P<0.05， P<0.01）， improved the arrangement and morphology of neurons， reduced nuclear condensation and the apoptosis rate of hippocampal neurons （P<0.01）， increased the NeuN content （P<0.01）， enhanced the activities of GSH-Px， GST， and CAT （P<0.05， P<0.01）， and up-regulated the mRNA levels of Nrf2 and HO-1 （P<0.05， P<0.01） and the protein levels of p-Akt/Akt， p-GSK-3β/GSK-3β， Nrf2， and HO-1 （P<0.05， P<0.01） in the hippocampus. ConclusionHei Xiaoyaosan can regulate the Akt/GSK-3β/Nrf2/HO-1 pathway to enhance the antioxidant stress capacity and inhibit neuron apoptosis to exert the neuroprotective effect， thereby ameliorating the cognitive dysfunction and pathological damage in AD rats.

ObjectiveTo explore the mechanism of Hei Xiaoyaosan in improving the cognitive function in Alzheimer's disease （AD） from cell apoptosis mediated by the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/nuclear factor kappa B （NF-κB） signaling pathway. MethodsFour-month-old SD male rats were randomly assigned into a blank group， a sham group， a model group， a donepezil hydrochloride （0.45 mg·kg^-1） group， and high-， medium-， and low-dose （15.30， 7.65， and 3.82 g·kg^-1， respectively） Hei Xiaoyaosan groups， with 10 rats in each group. The sham group received bilateral hippocampal injection of 1 μL normal saline， while the other groups received bilateral hippocampal injection of 1 μL beta-amyloid 1-42 （Aβ_1-42） solution for the modeling of AD. Rats were administrated with corresponding agents once a day for 42 consecutive days. The Morris water maze test was carried out to assess the learning and memory abilities of rats. Hematoxylin-eosin staining was employed to observe pathological changes in the hippocampus of rats. Enzyme-linked immunosorbent assay was employed to measure the levels of cysteinyl aspartate-specific proteinase-3 （Caspase-3）， B-cell lymphoma-2 （Bcl-2）， and Bcl-2-associated X protein （Bax）. Western blot was employed to determine the protein levels of PI3K， Akt， and NF-κB. A cell model of AD was established by co-culturing Aβ_1-42 and PC12 cells in vitro. Cell viability and apoptosis were detected by the cell-counting kit 8 （CCK-8） assay and flow cytometry （FC）， respectively. ResultsAnimal experiments showed that compared with the blank group， the model group had a prolonged escape latency （P<0.01）， a reduced number of crossing platforms （P<0.01）， disarrangement and a reduced number of hippocampal neurons， up-regulated expression of Bax and Caspase-3， down-regulated expression of Bcl-2 （P<0.01）， decreased p-PI3K/PI3K and p-Akt/Akt levels， and an increased p-NF-κB/NF-κB level （P<0.01）. Compared with the model group， donepezil hydrochloride and high- and medium-dose Hei Xiaoyaosan shortened the escape latency and increased the number of crossing platforms （P<0.05， P<0.01）， improved the arrangement and increased the number of hippocampal neurons， down-regulated the expression levels of Bax and Caspase-3， up-reguated the expression level of Bcl-2 （P<0.05， P<0.01）， increased the p-PI3K/PI3K and p-Akt/Akt levels （P<0.05， P<0.01）， and reduced the p-NF-κB/NF-κB level （P<0.05， P<0.01）. Cell experiments showed that compared with the blank group， the model group exhibited an increased apoptosis rate （P<0.01）. Compared with the model group， the serum containing Hei Xiaoyaosan at various doses improved the cell viability （P<0.01）， and the serum containing Hei Xiaoyaosan at the high dose decreased the cell apoptosis （P<0.01）. ConclusionHei Xiaoyaosan may improve the learning and memory abilities of AD model rats by regulating cell apoptosis， while increasing the vitality and reducing the apoptosis rate of AD model cells via the PI3K/Akt/NF-κB signaling pathway.

ObjectiveTo investigate the effects of Hei Xiaoyaosan on cognitive impairment and the histone deacetylase sirtuin-1 （SIRT1）/tumor suppressor p53/solute carrier family 7 member 11 （SLC7A11） signaling pathway in the rat model of Alzheimer's disease （AD）. MethodsA total of 90 16-week-old SPF-grade SD male rats were randomly assigned in a blank group （n=10）， a sham group （n=10， with injection of 1 μL normal saline into the bilateral hippocampi）， and an AD modeling group （n=70， with injection of 1 μL β amyloid 1-42 solution into the bilateral hippocampi）. According to the random number table method， fifty successfully modeled rats were assigned into model， donepezil hydrochloride （0.45 mg·kg^-1）， and high-， medium-， and low-dose （15.30， 7.65， and 3.82 g·kg^-1， respectively） Hei Xiaoyaosan groups， and they were administrated with corresponding agents via gavage once a day for 42 consecutive days. Morris water maze test was carried out to examine the cognitive function of rats. Nissl staining was employed to observe the morphology of hippocampal neurons in each group， and Prussian blue staining was used to detect iron deposition in the hippocampal tissue. Biochemical kits were used to measure the levels of superoxide dismutase （SOD）， malondialdehyde （MDA）， and iron ion （Fe²⁺） in the hippocampal tissue. Western blot and real-time quantitative polymerase chain reaction （Real-time PCR） were employed to determine the protein and mRNA levels， respectively， of SIRT1， p53， SLC7A11， glutathione peroxidase 4 （GPX4）， and acyl-CoA synthetase long-chain family member 4 （ACSL4） in the hippocampus. ResultsCompared with the blank group， the model group showed reductions in target quadrant movement distance （P<0.01） and target quadrant residence time （P<0.05）， disarrangement of hippocampal neurons， increased ferroptosis deposition in the hippocampus， a lowered level of SOD， risen levels of MDA and Fe²⁺ （P<0.05， P<0.01）， down-regulated protein and mRNA levels of SIRT1， SLC7A11， and GPX4 （P<0.05， P<0.01）， up-regulated protein and mRNA levels of p53 and ACSL4 （P<0.01）， and aggravated pathological process of AD. Compared with the model group， donepezil hydrochloride extended the target quadrant residence time and the target quadrant movement distance （P<0.05， P<0.01）. High- and medium- doses of Hei Xiaoyaosan extended the target quadrant residence time and the target quadrant movement distance （P<0.05， P<0.01）， improved the neuron arrangement and reduced the ferroptosis deposition in the hippocampus， elevated the SOD level， lowered the MDA and Fe²⁺ levels （P<0.05， P<0.01）， up-regulated the protein and mRNA levels of SIRT1， SLC7A11， and GPX4 （P<0.01， P<0.05）， and down-regulated the protein and mRNA levels of p53 and ACSL4 （P<0.05， P<0.01）. ConclusionHei Xiaoyaosan can regulate the SIRT1/p53/SLC7A11 signaling pathway to mitigate oxidative stress and inhibit ferroptosis， thereby ameliorating the cognitive dysfunction in AD rats.