OBJECTIVES: To explore the mechanism by which Pulsatilla saponin D (PSD) inhibits invasion and metastasis of triple-negative breast cancer (TNBC). METHODS: The public databases were used to identify the potential targets of PSD and the invasion and metastasis targets of TNBC to obtain the intersection targets between PSD and TNBC. The "PSD-target-disease" interaction network was constructed and protein-protein interaction (PPI) analysis was performed to obtain the core targets, which were analyzed for KEGG pathway and GO functional enrichment. Molecular docking study of the core targets and PSD was performed, and the therapeutic effect and mechanism of PSD were verified using Transwell assay and Western blotting in cultured TNBC cells. RESULTS: Network pharmacology analysis identified a total of 285 potential PSD targets and 26 drug-disease intersection core targets. GO analysis yielded 175 entries related to the binding of biomolecules (protein, DNA and RNA), enzyme activities, and regulation of gene transcription. KEGG analysis yielded 46 entries involving pathways in cancer, chemical carcinogenesis-receptor activation, microRNAs in cancer, chemical carcinogenesis-reactive oxygen species, PD-L1 expression and PD-1 checkpoint pathway in cancer. Molecular docking showed high binding affinities of PSD to MTOR, HDAC2, ABL1, CDK1, TLR4, TERT, PIK3R1, NFE2L2 and PTPN1. In cultured TNBC cells, treatment with PSD significantly inhibited cell invasion and migration and lowered the expressions of MMP2, MMP9, N-cadherin and the core proteins p-mTOR, ABL1, TERT, PTPN1, HDAC2, PIK3R1, CDK1, TLR4 as well as NFE2L2 expressionin the cell nuclei. CONCLUSIONS The inhibitory effects of PSD on TNBC invasion and metastasis are mediated by multiple targets and pathways.
Humans ; Triple Negative Breast Neoplasms/metabolism* ; Saponins/pharmacology* ; Pulsatilla/chemistry* ; Female ; Molecular Docking Simulation ; Cell Line, Tumor ; Neoplasm Invasiveness ; Protein Interaction Maps ; Neoplasm Metastasis ; Signal Transduction/drug effects* ; Cell Movement/drug effects*

Objective To investigate the recovery of plasma metabolism in asymptomatic and mild patients of coronavirus disease 2019(COVID-19)one year after recovery.Methods A total of 174 participants were recruited from the communities in Wuhan,including 80 healthy volunteers and the COVID-19 patients who had recovered for one year.According to the disease severity,the recovered COVID-19 patients were grouped as asymptomatic patients(n=80)and mild patients(n=14).The liquid chromatography mass spectrometry platform was employed to study the metabolomic characteristics of the plasma from all the participants.Results The plasma metabolites in asymptomatic patients and mild patients remained abnormal compared with those in healthy volunteers.Among the differential metabolites in asymptomatic patients and mild patients,some metabolites showed a downward trend only in mild patients,such as phosphatidylethanolamine[20∶3(5Z,8Z,11Z)/P-18∶0],sphingomyelin(d18∶1/24∶0),and cholesteryl(15∶0).The metabolic pathway involving the differential metabolites in mild patients was mainly glycerophospholipid metabolism.Conclusions Even one year after recovery,the mild COVID-19 patients still exhibit metabolic abnormalities.Hence,these patients may experience an extended period of time for recovery.
Humans ; COVID-19/metabolism* ; Metabolomics ; SARS-CoV-2 ; Metabolome ; Female ; Male ; Adult ; Middle Aged

Objective: To explore the feasibility of remotely obtaining complex information on traditional Chinese medicine (TCM) pulse conditions through voice signals. Methods: We used multi-label pulse conditions as the entry point and modeled and analyzed TCM pulse diagnosis by combining voice analysis and machine learning. Audio features were extracted from voice recordings in the TCM pulse condition dataset. The obtained features were combined with information from tongue and facial diagnoses. A multi-label pulse condition voice classification DNN model was built using 10-fold cross-validation, and the modeling methods were validated using publicly available datasets. Results: The analysis showed that the proposed method achieved an accuracy of 92.59% on the public dataset. The accuracies of the three single-label pulse manifestation models in the test set were 94.27%, 96.35%, and 95.39%. The absolute accuracy of the multi-label model was 92.74%. Conclusion Voice data analysis may serve as a remote adjunct to the TCM diagnostic method for pulse condition assessment.

Objective:To search the best evidence for perioperative nutrition management in pancreatic cancer patients, so as to provide evidence basis for optimization of perioperative nutrition management in pancreatic cancer patients.Methods:Evidence on perioperative nutrition management for pancreatic cancer patients was systematically searched in Cochrane Library, British Medical Journal (BMJ) Best Practice, UpToDate, National Institute for Health and Clinical Excellence, PubMed, China National Knowledge Infrastructure, WanFang Data, VIP, Chinese Medical Association Network and other domestic and foreign databases and nutrition related websites. The search types included clinical decision-making, guidelines, expert consensus, evidence summary, and systematic review. The search period was from database establishment to February 10, 2023.Results:A total of 17 articles were included, including 8 guidelines, 6 expert consensus, and 3 systematic reviews. A total of 26 pieces of evidence were summarized from 6 aspects, including management general principles, energy and protein requirements, nutritional risk screening and assessment, nutritional support, complication management, and post discharge management.Conclusions:The process of extracting the best evidence of perioperative nutrition management for pancreatic cancer patients is scientific and rigorous. Medical and nursing staff can improve the quality of nutrition management for patients with pancreatic cancer and promote the recovery of patients according to the actual clinical situation.

Objective To establish a dynamic prediction model of fatal massive hemorrhage in trauma based on the vital signs time series data and machine learning algorithms.Methods Retrospectively analyze the vital signs time series data of 7522 patients with trauma in the Medical Information Mart for Intensive Care-Ⅳ(MIMIC-Ⅳ)database from 2008 to 2019.According to the occurrence of posttraumatic fatal massive hemorrhage,the patients were divided into two groups:fatal massive hemorrhage group(n=283)and non-fatal massive hemorrhage group(n=7239).Six machine learning algorithms,including logistic regression(LR),support vector machine(SVM),random forests(RF),adaptive boosting(AdaBoost),gated recurrent unit(GRU),and GRU-D were used to develop a dynamic prediction models of fatal massive hemorrhage in trauma.The probability of fatal massive hemorrhage in the following 1,2,and 3 h was dynamically predicted.The performance of the models was evaluated by accuracy,sensitivity,specificity,positive predictive value,negative predictive value,Youden index,and area under receiver operating characteristic curve(AUC).The models were externally validated based on the trauma database of the Chinese PLA General Hospital.Results In the MIMIC-Ⅳ database,the set of dynamic prediction models based on the GRU-D algorithm was the best.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.946±0.029,0.940±0.032,and 0.943±0.034,respectively,and there was no significant difference(P=0.905).In the trauma dataset,GRU-D model achieved the best external validation effect.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.779±0.013,0.780±0.008,and 0.778±0.009,respectively,and there was no significant difference(P=0.181).This set of models was deployed in a public web calculator and hospital emergency department information system,which is convenient for the public and medical staff to use and validate the model.Conclusion A set of dynamic prediction models has been successfully developed and validated,which is greatly significant for the early diagnosis and dynamic prediction of fatal massive hemorrhage in trauma.

Objective To investigate the influencing factors of falls and serious falls among individuals aged 45 years and above in China,as well as explore the association between falls and multimorbidity,thereby pro-viding empirical evidence for the formulation of effective strategies to prevent falls.Methods The study utilized data from the CHARLS 2020 dataset and employed various statistical methods,including descriptive statistics,χ2 test,quadratic regression,and logistic regression.Additionally,subgroup analyses were conducted on key vari-ables.Results The prevalence of falls and serious falls among individuals aged 45 and above in China was found to be 17.42%and 6.86%,respectively.Multimorbidity emerged as a significant determinant influencing both falls and serious falls,with a higher number of diseases being associated with an increased prevalence of these events.Conclusion In order to effectively address the issue of falls in middle-aged and elderly individuals,particularly those with multimorbidity,it is imperative to integrate multimorbidity considerations into the comprehensive fall intervention process.

Objective:To observe the effect of acupuncture combined with vitamin B12 point injection on pain severity in patients with discogenic low back pain and to analyze its potential mechanisms. Methods:A total of 96 patients with discogenic low back pain were randomly divided into two groups.The control group received acupuncture treatment,while the combined group received vitamin B12 point injection in addition to the identical acupuncture treatment in the control group.Both groups were treated for 2 weeks.The visual analog scale(VAS)and Oswestry disability index(ODI)scores were compared before treatment,after 1 week of treatment,and after 2 weeks of treatment.The levels of such serum inflammatory factors as tumor necrosis factor(TNF)-α and interleukin(IL)-6,serum beta-endorphin(β-EP),and prostaglandin(PG)E2 were compared before and after treatment.Adverse reactions and clinical efficacy were compared between the two groups after treatment. Results:The total effective rate in the combined group was higher than that in the control group(P<0.05).The VAS and ODI scores in the combined group after 1 week and 2 weeks of treatment were lower than those in the control group at the same time point(P<0.05).The levels of TNF-α,IL-6,and PGE2 in the combined group were lower than those in the control group after treatment(P<0.05),while the level of β-EP was higher than that in the control group(P<0.05).There was no statistical difference in the overall incidence of adverse reactions between the two groups(P>0.05). Conclusion:Acupuncture combined with vitamin B12 point injection can alleviate pain and promote functional recovery in patients with discogenic low back pain;reducing the levels of TNF-α,IL-6,and PGE2 and increasing the level of β-EP may be part of the mechanism of the therapy.

Objective:To investigate the clinical significance of bone metabolic indexes for disease assessment and curative effect monitoring in multiple myeloma(MM)bone disease(MBD)patients with different blood separation results.Methods:A total of 134 newly diagnosed MM patients treated in Cangzhou Hospital of Integrated TCM-WM-Hebei were enrolled and divided into control group[119 cases,serum,colloid and red blood cell(RBC)from top to bottom of sample]and abnormal group(15 cases,serum,mixed layer of RBC and serum,colloid and RBC from top to bottom of sample)according to the results of blood separation.According to the imaging findings,MBD was classified into grade 0-4,grade 0-2 was mild,and grade 3-4 was severe.The MBD grade of patients in the two groups was analyzed.The curative effect of MBD patients after chemotherapy and the changes of blood separation results and bone metabolic indexes before and after treatment were evaluated.The correlation between β 2-microglobulin(MG)and bone metabolic indexes was analyzed by Pearson correlation analysis.Results:In the control group,there were 69 cases of grade 0-2 and 50 cases of grade 3-4,while in the abnormal group,there were 5 cases of grade 0-2 and 10 cases of grade 3-4,the difference was statistically significant(P＜0.05).The serum β 2-MG,β-CTX levels in abnormal group were both significantly higher than those in control group,while the levels of P1NP and osteocalcin(OC)were significantly lower(all P＜0.001).In the control group,there were 95 patients with ≥ partial response(PR)and the blood separation results were not changed,while 24 patients with＜PR and 5 of them had abnormal blood separation results.In the abnormal group,9 patients with efficacy≥PR showed normal blood separation results,while 6 patients with efficacy＜PR and 5 of them still remained abnormal blood separation results.Compared with before treatment,β-CTX and β 2-MG of patients with efficacy ≥ PR were significantly decreased but P1NP and OC increased in the control group(all P＜0.00 1),which was the same as abnoraml group(both P＜0.001,P＜0.01).There were no significant changes in the levels of all indexes in the two groups of patients with efficacy＜PR(P＞0.05).Compared with before treatment,the levels of β-CTX and β 2-MG in the control group with unchanged blood separation results were significantly decreased(both P＜0.00l),while the levels of P1NP and OC were significantly increased(P＜0.01,P＜0.001),and the level of each index in the patients transformed to abnormal blood separation result after treatment did not significantly change(P＞0.05);the levels of β-CTX and β 2-MG in the abnormal group transformed to normal blood separation result were significantly decreased(both P＜0.01),while the levels of P1NP and OC were significantly increased(P＜0.001,P＜0.01),and the level of each index in patients with unchanged blood separation results did not significantly change(P＞0.05).Pearson correlation analysis showed that serumβ 2-MG was positively correlated with β-CTX(r=0.709,P＜0.001),and negatively correlated with P1NP and OC(r=-0.410,r=-0.412,both P＜0.001).Conclusion:MBD patients with abnormal blood separation results have higher bone disease grade and poor prognosis,which is closely related to the significant increase of bone resorption index β-CTX level and decrease of bone formation index P1NP and OC levels,leading to more serious bone metabolic homeostasis disorder.The results of blood separation combined with the changes of bone metabolic indexes can be used as one of the comprehensive predictors of disease condition,efficacy monitoring and prognosis evaluation of MBD patients.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Based on whole genome data, the identification and expression pattern analysis of the Atropa belladonna WRKY transcription factor family were conducted to provide a theoretical foundation for studying the biological functions and mechanisms of these transcription factors. In this study, bioinformatics methods were employed to identify members of the A. belladonna WRKY gene family and to predict their physicochemical properties, conserved motifs, promoter cis-acting elements, and chromosomal localization. Additionally, the expression patterns of the A. belladonna WRKY gene family under the regulation of environmental factors such as light quality and temperature were analyzed. The results revealed a total of 28 AbWRKY transcription factors, randomly distributed across 16 chromosomes, encoding 324-707 amino acids. Most AbWRKY proteins were acidic, unstable, and hydrophilic. Based on multiple sequence alignment and phylogenetic analysis, the WRKY gene family members were classified into two subfamilies. Conserved motif and domain analysis indicated that WRKY transcription factors in the same subfamily possessed conserved structural features. Promoter analysis predicted that the A. belladonna WRKY family contained light-responsive elements, hormone-responsive elements, and stress-responsive elements. Collinearity analysis showed that AbWRKY24 plays a crucial role in the expansion of the AbWRKY gene family. Then qRT-PCR results indicated that AbWRKY6, AbWRKY8, AbWRKY14, and AbWRKY24 responded to red light stress, while AbWRKY8, AbWRKY14, and AbWRKY24 responded to yellow light/low-temperature combined stress. AbWRKY6 and AbWRKY8 were significantly expressed in leaves and stems, AbWRKY27 and AbWRKY28 were significantly expressed in fibrous roots, and AbWRKY25 was significantly expressed in flowers. This study is the first to identify and analyze the WRKY gene family in A. belladonna and to examine its expression patterns under light and temperature regulation, laying a foundation for in-depth analysis and functional validation of the molecular mechanisms of A. belladonna WRKY transcription factors in responding to light quality and temperature environmental factors.
Transcription Factors/chemistry* ; Plant Proteins/metabolism* ; Phylogeny ; Gene Expression Regulation, Plant ; Light ; Temperature ; Atropa belladonna/metabolism* ; Multigene Family/genetics* ; Promoter Regions, Genetic/genetics* ; Sequence Alignment ; Amino Acid Sequence ; Genome, Plant/genetics*