OBJECTIVE: To observe the effects of Tiaoshu Anshen (regulating the hinge and calming the mind) acupuncture on sleep quality and serum levels of 5-hydroxytryptamine (5-HT) and dopamine (DA) in patients with chronic insomnia. METHODS: A total of 58 patients with chronic insomnia were randomly divided into an acupuncture group and a medication group, 29 cases in each group. Tiaoshu Anshen acupuncture was applied at Baihui (GV20) and bilateral Shenmen (HT7), Sanyinjiao (SP6), Benshen (GB13) in the acupuncture group, once a day, 1-day interval was taken after 6 consecutive days of treatment. Estazolam tablet was given orally before bed in the medication group, 1 mg each time. The 4-week treatment was required in both groups. Before and after treatment, the sleep quality was assessed by Pittsburgh sleep quality index (PSQI) and polysomnography (PSG), the serum levels of 5-HT and DA were detected by ELISA. RESULTS: After treatment, the item scores and total scores of PSQI were decreased compared with those before treatment in the two groups (P<0.05); in the acupuncture group, the scores of sleep quality, sleep latency, sleep time, sleep efficiency, sleep disorders and total score of PSQI were lower than those in the medication group (P<0.05). After treatment, the total sleep time (TST) was prolonged (P<0.05), the sleep latency (SL) and wake after sleep onset (WASO) were shortened (P<0.05), the sleep efficiency (SE%), percentage of non-rapid eye movement stage 3 (N3%), percentage of rapid eye movement stage (REM%) and serum levels of 5-HT were increased (P<0.05) compared with those before treatment; the percentage of non-rapid eye movement stage 1 (N1%), percentage of non-rapid eye movement stage 2 (N2%) and serum levels of DA were decreased (P<0.05) compared with those before treatment in the two groups. After treatment, in the acupuncture group, TST was longer, while SL and WASO were shorter than those in the medication group (P<0.05), SE%, N3%, REM% and serum level of 5-HT were higher, while N1%, N2% and serum level of DA were lower than those in the medication group (P<0.05). CONCLUSION Tiaoshu Anshen acupuncture may improve the sleep quality by regulating the serum neurotransmitter levels i.e. 5-HT and DA in patients with chronic insomnia.
Humans ; Sleep Initiation and Maintenance Disorders/physiopathology* ; Male ; Acupuncture Therapy ; Female ; Middle Aged ; Adult ; Serotonin/blood* ; Sleep Quality ; Acupuncture Points ; Dopamine/blood* ; Aged ; Neurotransmitter Agents/blood* ; Young Adult

Ursodeoxycholic acid (UDCA) is a naturally occurring, low-toxicity, and hydrophilic bile acid (BA) in the human body that is converted by intestinal flora using primary BA. Solute carrier family 7 member 11 (SLC7A11) functions to uptake extracellular cystine in exchange for glutamate, and is highly expressed in a variety of human cancers. Retroperitoneal liposarcoma (RLPS) refers to liposarcoma originating from the retroperitoneal area. Lipidomics analysis revealed that UDCA was one of the most significantly downregulated metabolites in sera of RLPS patients compared with healthy subjects. The augmentation of UDCA concentration (≥25 μg/mL) demonstrated a suppressive effect on the proliferation of liposarcoma cells. [¹⁵N₂]-cystine and [¹³C₅]-glutamine isotope tracing revealed that UDCA impairs cystine uptake and glutathione (GSH) synthesis. Mechanistically, UDCA binds to the cystine transporter SLC7A11 to inhibit cystine uptake and impair GSH de novo synthesis, leading to reactive oxygen species (ROS) accumulation and mitochondrial oxidative damage. Furthermore, UDCA can promote the anti-cancer effects of ferroptosis inducers (Erastin, RSL3), the murine double minute 2 (MDM2) inhibitors (Nutlin 3a, RG7112), cyclin dependent kinase 4 (CDK4) inhibitor (Abemaciclib), and glutaminase inhibitor (CB839). Together, UDCA functions as a cystine exchange factor that binds to SLC7A11 for antitumor activity, and SLC7A11 is not only a new transporter for BA but also a clinically applicable target for UDCA. More importantly, in combination with other antitumor chemotherapy or physiotherapy treatments, UDCA may provide effective and promising treatment strategies for RLPS or other types of tumors in a ROS-dependent manner.

Objective To explore the molecular mechanism of Xiaojin Pills in the treatment of breast cancer using an integrated network pharmacology and experimental verification.Methods The chemical components and potential targets of Xiaojin Pills were obtained from TCMSP,TCM-ID,ETCM and SwissTargetPrediction databases.Breast cancer related targets were collected from GeneCards,OMIM and KEGG databases.The overlapped targets were imported into STRING database to analysis a protein-protein interaction(PPI).The key targets of PPI networks were screened based on node topology parameter values through Cytoscape 3.8.0.DAVID database was used to analyze the GO and KEGG pathway enrichment to build drug-chemical components-key targets-signaling pathway network.The breast cancer cell lines MDA-MB-231 and SK-BR-3 were used to study the effects of Xiaojin Pills extract on cell apoptosis,migration and invasion,and to verify the key pathway obtained by enrichment analysis.Results Totally 181 chemical components in Xiaojin Pills were obtained,including quercetin,myricetin,pinocembrin and β-sitosterol.615 potential targets were identified for the anti-breast cancer effects of Xiaojin Pills.After overlapping,170 key targets against breast cancer were identified based on the topological analysis,which included SRC,ERK1/2,AKT1,EGFR,etc.KEGG analysis enriched pathways including pathways in cancer,MAPK signaling pathway,endocrine resistance,PI3K-AKT signaling pathway,EGFR tyrosine kinase inhibitor resistance,apoptosis,and HIF-1 signaling pathway,which may play important roles in the therapeutic effects of Xiaojin Pills against breast cancer.GO enrichment was involved in protein phosphorylation,inflammatory response,negative regulation of apoptosis,and positive regulation of ERK1 and ERK2 cascades.Cell experiments showed that Xiaojin Pills further induced mitochondria-dependent apoptosis by inhibiting the activation of MAPK and PI3K-AKT pathways.At the same time,the expressions of ZO-1 and β-catenin increased,and the epithelial-mesenchymal transformation process was reversed to inhibit the metastasis of breast cancer cells.Conclusion The key targets and signaling pathways of Xiaojin Pills in the treatment of breast cancer are studied through network pharmacology combined with in vitro experiments,which provided a basis for further study of its pharmacodynamic material basis,mechanism of action and clinical application.

Chimeric antigen receptor (CAR)-T cell therapy has achieved remarkable success in the treatment of hematological malignancies. Based on the immunomodulatory capability of CAR-T cells, efforts have turned toward exploring their potential in treating autoimmune diseases. Bibliometric analysis of 210 records from 128 academic journals published by 372 institutions in 40 countries/regions indicates a growing number of publications on CAR-T therapy for autoimmune diseases, covering a range of subtypes such as systemic lupus erythematosus, multiple sclerosis, among others. CAR-T therapy holds promise in mitigating several shortcomings, including the indiscriminate suppression of the immune system by traditional immunosuppressants, and non-sustaining therapeutic levels of monoclonal antibodies due to inherent pharmacokinetic constraints. By persisting and proliferating in vivo, CAR-T cells can offer a tailored and precise therapeutics. This paper reviewed preclinical experiments and clinical trials involving CAR-T and CAR-related therapies in various autoimmune diseases, incorporating innovations well-studied in the field of hematological tumors, aiming to explore a safe and effective therapeutic option for relapsed/refractory autoimmune diseases.

Objective To investigate the effect of teaching method using students as standardized patients on clinical practice teaching of neurology.Methods We randomly assigned 80 undergraduate majoring in clinical medicine into two groups:a control group where students were instructed with traditional clinical teaching methods,and an experimental group where students acted as standardized patients.Following the clinical placement,we administered an Objective Structured Clinical Exam-ination(OSCE)and a satisfaction survey to all participants.Results The experimental group performed significantly better than the control group in history taking and neurological examination in the OSCE(P＜0.05).The results of the questionnaire showed that the experimental group scored significantly higher than the control group in improving clinical thinking,stimulating learning interest,and improving communication skills(P＜0.05).Conclusion The teaching methods using student as standardized pa-tients in the process of clinical practice in neurology helps to improve the history taking and neurological physical examination skills of clinical students,yielding good educational outcomes.

Objective:We aimed to develop a novel visualized model based on nomogram to predict postoperative overall survival.Methods:This was a multicenter, retrospective, observational cohort study, including participants with histologically confirmed gastric and colorectal cancer who underwent radical surgery from 11 medical centers in China from August 1, 2015 to June 30, 2018. Baseline characteristics, histopathological data and nutritional status, as assessed using Nutrition Risk Screening 2002 (NRS 2002) score and the scored Patient-Generated Subjective Global Assessment, were collected. The least absolute shrinkage and selection operator regression and Cox regression were used to identify variables to be included in the predictive model. Internal and external validations were performed.Results:There were 681 and 127 patients in the training and validation cohorts, respectively. A total of 188 deaths were observed over a median follow-up period of 59 (range: 58 to 60) months. Two independent predictors of NRS 2002 and Tumor-Node-Metastasis (TNM) stage were identified and incorporated into the prediction nomogram model together with the factor of age. The model's concordance index for 1-, 3- and 5-year overall survival was 0.696, 0.724, and 0.738 in the training cohort and 0.801, 0.812, and 0.793 in the validation cohort, respectively.Conclusions:In this study, a new nomogram prediction model based on NRS 2002 score was developed and validated for predicting the overall postoperative survival of patients with gastric colorectal cancer. This model has good differentiation, calibration and clinical practicability in predicting the long-term survival rate of patients with gastrointestinal cancer after radical surgery.

Excessive and persistent inflammatory responses are a potential pathological condition that can lead to diseases of various systems, including nervous, respiratory, digestive, circulatory, and endocrine systems. Cannabinoid type 2 receptor(CB2R) belongs to the G protein-coupled receptor family and is widely distributed in immune cells, peripheral tissues, and the central nervous system. It plays a role in inflammatory responses under various pathological conditions. The down-regulation of CB2R activity is an important marker of inflammation and and CB2R modulators have been shown to have anti-inflammatory effects. This study explored the relationship between CB2R and inflammatory responses, delved into its regulatory mechanisms in inflammatory diseases, and summarized the research progress on CB2R modulators from plants other than cannabis, including plant extracts and monomeric compounds, in exerting anti-inflammatory effects. The aim is to provide new insights into the prevention and treatment of inflammatory diseases.
Cannabinoid Receptor Modulators/pharmacology* ; Cannabinoid Receptor Agonists/pharmacology* ; Receptors, Cannabinoid ; Cannabinoids/pharmacology* ; Anti-Inflammatory Agents/pharmacology*

BACKGROUND: Despite the progress in perinatal-neonatal medicine, complications of extremely preterm infants continue to constitute the major adverse outcomes in neonatal intensive care unit. Human umbilical cord Wharton’s Jellyderived mesenchymal stem cells (HUMSCs) may offer new hope for the treatment of intractable neonatal disorders. This study will explore the functional differences of HUMSCs between extremely preterm and term infants. METHODS: UMSCs from 5 extremely preterm infants(weeks of gestation: 22+5 w,24+4 w,25+3 w,26 w,28 w) and 2 term infants(39 w,39+2 w) were isolated, and mesenchymal markers, pluripotent genes, proliferation rate were analyzed.HUVECs were injured by treated with LPS and repaired by co-cultured with HUMSCs of different gestational ages. RESULTS: All HUMSCs showed fibroblast-like adherence to plastic and positively expressed surface marker of CD105,CD73 and CD90, but did not expressed CD45,CD34,CD14,CD79a and HLA-DR; HUMSCs in extremely preterm exhibited significant increase in proliferation as evidenced by CCK8, pluripotency markers OCT-4 tested by RT-PCR also showed increase. Above all, in LPS induced co-cultured inflame systerm, HUMSCs in extremely preterm were more capable to promote wound healing and tube formation in HUVEC cultures, they promoted TGFb1 expression and inhibited IL6 expression. CONCLUSIONS Our results suggest that HUMSCs from extremely preterm infants may be more suitable as candidates in cell therapy for the preterm infants.

Objective To investigate the value of multi-phase MRI-based radiomics machine learning models in differentiating small renal cell carcinoma(sRCC)from fat-poor renal angiomyolipoma(fp-AML).Methods 79 cases of sRCCs and 35 cases of fp-AMLs(diameter≤4 cm)which were confirmed by pathology were retrospectively analyzed.The volume of interest(VOI)of the total tumor was manually delineated on the images of T2WI(T2),unenhanced phase(UP),corticomedullary phase(CMP)and nephrographic phase(NP)and then the radiomics of the VOIs were extracted respectively.The training set and the test set were set according to the ratio of 7∶3.The t-test,maximal relevance and minimal redundancy(mRMR)and the least absolute shrinkage and selection operator(LASSO)were used to select the radiomics features.The selected features were used to build classification models with logistic regression(LR)and support vector machine(SVM).The receiver operating characteristic(ROC)curve was used to evaluate the classification performances of the models.Results There were 4,12,3,11 and 15 optimal features obtained from T2、UP、CMP、NP and the combined four phases,respectively.The radiomics features based on NP or the combined four phases with LR model performed best,AUCs were respectively 0.956,0.986 in the training set and both were 0.881 in the test set.Conclusion The multi-phase MRI-based radiomics machine learning model has favorable diagnostic performance in differentiating sRCC from fp-AML.

Aim To investigate the effects of CPD1, a novel phosphodiesterase 5 inhibitor, on liver pathological phenotype and hepatic stellate cells (HSCs) activation in hepatic fibrosis model mice caused by carbon tetrachloride ( CCl