OBJECTIVE: To evaluate the therapeutic effect of Yu Melody relaxation training (YMRT) combined with Jianpi Jieyu Decoction (JJD) in treating patients with insomnia disorders (ID). METHODS: In this randomized controlled study, 94 ID patients were included from Xiyuan Hospital, China Academy of Chinese Medical Sciences from September 2022 to January 2024. They were randomly assigned to the YMRT group (47 cases, YMRT plus JJD) and the control group (47 cases, oral JJD) using a random number table. Both treatment administrations lasted for 4 weeks, with a 2-week follow-up. The primary outcome was change in Insomnia Severity Index (ISI) scores from baseline to 4 weeks of intervention. Secondary outcomes included ISI response at week 4, as well as ISI, Patient Health Questionnaire-9 (PHQ-9), and Generalized Anxiety Disorder 7-item (GAD-7) scores at baseline and weeks 1, 2, 3, 4, and 6. Additionally, Pittsburgh Sleep Quality Index (PSQI) scores were evaluated at baseline and weeks 4 and 6. Adverse events (AEs) were recorded and compared between groups. RESULTS: Five patients in each group did not complete the protocol requirements. The overall dropout rate was 10.64%. The full analysis set included all 47 cases in each group. The ISI score decreased significantly at week 4 from baseline in the YMRT group compared with the control group, with a between-group difference of -3.2 points [95% confidence interval (CI): -5.08 to -1.34; P<0.05]. The ISI response at week 4 in the YMRT group was significantly higher than that in the control group (85.11% vs. 51.06%), with a between-group difference of 34.05% (95% CI: 13.77% to 50.97%; P<0.05). At week 6, the YMRT group demonstrated greater reductions from baseline than the control group, with between-group differences of -2.1 points (-95% CI: -3.49 to -0.64; P<0.05) for PHQ-9 scores, -3.5 points (95% CI: -5.21 to -1.85; P<0.05) for PSQI scores, and -1.9 points (95% CI: -3.47 to -0.28; P<0.05) for GAD-7 scores. Moreover, at weeks 4 and 6, the ISI and PSQI scores in the YMRT group were significantly lower than those in the control group (P<0.05); and at week 6, the PHQ-9 score in the YMRT group was significantly lower (P<0.05). There was no significant difference in the incidence rates of AEs between the two groups (8.51% vs. 4.26%, P>0.05). CONCLUSIONS YMRT combined with oral JJD could improve sleep quality and alleviate depressive and anxiety symptoms in patients with ID. This combined therapy was effective and safe, and its effect was superior to oral JJD alone. (Registration No. ChiCTR2200063884).
Humans ; Sleep Initiation and Maintenance Disorders/drug therapy* ; Drugs, Chinese Herbal/therapeutic use* ; Male ; Female ; Relaxation Therapy/methods* ; Middle Aged ; Adult ; Treatment Outcome ; Combined Modality Therapy

Artificial intelligence (AI) has emerged as a transformative force in healthcare, with applications spanning diagnostics to drug development. However, its integration into drug regulation remains nascent, with varying degrees of adoption and implementation across different regulatory bodies worldwide. This review aims to provide a comprehensive overview of the current state of AI in drug regulation, encapsulating AI-related policies, initiatives, and its practical application in regulatory agencies globally. It further discusses the challenges and future prospects of AI in this field. The findings reveal that numerous agencies have launched action plans and initiatives to incorporate AI, aiming to streamline regulatory processes and enhance data-driven regulatory decision-making. Moreover, AI's deployment in safety surveillance, workflow optimization, and regulatory science research is expanding, highlighting its increasing impact on drug regulation. Nonetheless, key challenges persist, such as data quality and reliability, technical limitations, talent shortage and the absence of standards. The review concludes that interdisciplinary collaboration is crucial to harness AI's full potential in drug regulation and overcoming its current limitations. In the future, AI may become a pivotal catalyst in drug regulation, promising a new era of enhanced scrutiny, efficiency, and innovation that will benefit public health on a global scale.

Peptide receptor radionuclide therapy (PRRT) with radiolabeled SSTR2 agonists is a treatment option that is highly effective in controlling metastatic and progressive neuroendocrine tumors (NETs). Previous studies have shown that an SSTR2 agonist combined with albumin binding moiety Evans blue (denoted as ¹⁷⁷Lu-EB-TATE) is characterized by a higher tumor uptake and residence time in preclinical models and in patients with metastatic NETs. This study aimed to enhance the in vivo stability, pharmacokinetics, and pharmacodynamics of ¹⁷⁷Lu-EB-TATE by replacing the maleimide-thiol group with a polyethylene glycol chain, resulting in a novel EB conjugated SSTR2-targeting radiopharmaceutical, ¹⁷⁷Lu-LNC1010, for PRRT. In preclinical studies, ¹⁷⁷Lu-LNC1010 exhibited good stability and SSTR2-binding affinity in AR42J tumor cells and enhanced uptake and prolonged retention in AR42J tumor xenografts. Thereafter, we presented the first-in-human dose escalation study of ¹⁷⁷Lu-LNC1010 in patients with advanced/metastatic NETs. ¹⁷⁷Lu-LNC1010 was well-tolerated by all patients, with minor adverse effects, and exhibited significant uptake and prolonged retention in tumor lesions, with higher tumor radiation doses than those of ¹⁷⁷Lu-EB-TATE. Preliminary PRRT efficacy results showed an 83% disease control rate and a 42% overall response rate after two ¹⁷⁷Lu-LNC1010 treatment cycles. These encouraging findings warrant further investigations through multicenter, prospective, and randomized controlled trials.

Objective To investigate the inhibitory effect and mechanism of lentinan on colitis-associated colorectal cancer (CAC) induced by azomethane (AOM)/dextran sulfate sodium salt (DSS) through the IL-6/ STAT3 pathway. Methods C57BL/6 mice were randomly divided into a control group, a model group, a low-dose group (0.865 mg/kg lentinan), a medium-dose group (1.73 mg/kg lentinan), and a high-dose group (3.46 mg/kg lentinan). Except the control group, CAC was induced by AOM/DSS in the other groups, and corresponding drugs were injected intraperitoneally during the modeling process. Body mass, disease activity index (DAI) score, colon length, and tumor number were compared among all groups. Hematoxylin–eosin staining was used to observe the pathological morphology of colon. ELISA was utilized to detect the IL-6, IL-1β, and IL-18 contents in serum. Western blot analysis was conducted to detect the expression levels of IL-6, p-STAT3, and c-Myc in colon tissues. Results The tumor number, DAI score, serum IL-6, IL-1β, and IL-18 contents and the expression levels of IL-6, p-STAT3, and c-Myc in the colon tissue of the model group were higher than those of the control group, while the body mass and colon length were lower than those of the control group (P<0.05). The pathological morphology of colon tissues showed adenocarcinoma formation. After different doses of lentinan intervention, the tumor number, DAI score, serum IL-6, IL-1β, and IL-18 contents and the expression levels of IL-6, p-STAT3, and c-Myc in colon tissues were all lower than those in the model group, while body mass and colon length were higher than those in the model group (P<0.05). The pathological morphology of colon tissues showed adenomas of different grades but no adenocarcinoma was found. Conclusion Lentinan inhibits CAC formation, and its anticancer effect is related to the inhibition of the IL-6/STAT3 pathway.

AIM To study the neoflavonoids from Dalbergia cochinchinensis Pierre ex Laness and their anti-hypoxia/reoxygenation injury activities on H9c2 myocardial cells.METHODS The 70%ethanol extract from D.cochinchinensis was isolated and purified by silica gel,Sephadex LH-20 and reverse-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The CCK-8 method was used to detect their activities on H9c2 cells and protective effects on hypoxia-reoxygenation injury of H9c2 cells,and their structure-activity relationship was analyzed.RESULTS Twelve compounds were isolated and identified as latifolin(1),5-O-methyllatifolin(2),mimosifoliol(3),5-O-methydalbergiphenol(4),dalbergiphenol(5),cearoin(6),2,4-dihydroxy-5-methoxy-benzophenone(7),2-hydroxy-4,5-dimethoxybenzophenone(8),melannoin(9),2,2′,5-trihydroxy-4-methoxybenzophenone(10),dalbergin(11),4-methoxydalbergione(12).The dalbergiphenols and dalbergins had little toxicity to H9c2 cells,and dalbergiphenols had strong activity against hypoxia-reoxygenation injury of H9c2 cells.CONCLUSION Compound 8 is a new natural product.Compounds 4,9 are isolated from this plant for the first time.Dalbergiphenols may be the main neoflavonoids against hypoxia-reoxygenation injury of H9c2 cells.

TCM proposes that the core pathological mechanism of depression is"deficient qi with stagnation and heat",with the following pathogenic characteristics and evolution patterns:"deficient qi"as the nature,and deficiency in nature is in spleen,and deficiency in superficiality is in brain;"stagnation"is the superficiality,and qi stagnation,phlegm stagnation,and blood stagnation are in the brain collaterals;"heat"fires the brain collaterals,depression raised the heat,and excessive heat accumulated to stagnation.Based on the understanding of the pathogenesis of depression caused by stress sensitization in modern medicine,this article explored the potential association between this mechanism and the core pathogenesis of"deficient qi with stagnation and heat".It proposed that tonifying deficiency,promoting circulation,and clearing heat are the basic treatment principles for depression.By inhibiting inflammatory reactions and improving the stress sensitization state of neurons and glial cells,TCM compound formulas can exert multi-target and multi-dimensional therapeutic characteristics.

Objective:To investigate the expression level of UBE2C in liver cancer tissues and its effect on the proliferation and invasion of hepatocellular carcinoma cells HepG2 after UBE2C silencing.Methods:The data set of liver cancer was downloaded from the TCGA database.Ac-cording to the median expression level of UBE2C mRNA in liver cancer tissues,all liver cancer pa-tients were divided into UBE2C higher(n=169)and lower expression group(n=205),respectively.The expression level of UBE2C mRNA in liver cancer tissues and its relationship with the patients prognosis was analyzed.COX regression was used to analyze the influencing factors of the liver cancer patients prognosis.The human hepatocellular carcinoma cell lines(HepG2,Huh7 and SMMC-7721)and human nromal hepatic epithelial cell line(THLE-3)were selected,and the ex-pression level of UBE2C in the four cell lines were detected by Western blot and real-time fluores-cence quantitative PCR,respectively.The HepG2 cell line was protein and mRNA expression leves divided into control group,NC group and si-UBE2C group according to UBE2C silencing.The ef-fects of UBE2C silencing on proliferation and invasion of HepG2 cell line were analyzed.Results:The expression level of UBE2C mRNA in liver cancer tissues and adjacent normal liver tissues were 4.342(3.239,5.635)and 0.905(0.587,1.230),respectively.Compared with adjacent normal liver tissues,UBE2C mRNA levels in liver cancer tissues were significantly higher(P＜0.001).The UBE2C mRNA expression levels in liver cancer tissues and paired adjacent normal liver tissues were 4.266(3.342,5.054)and 0905(0.587,1.230),respectively.Compared with paired adjacent normal liver tissues,UBE2C mRNA expression levels in liver cancer tissues were significantly higher(P＜0.001).The median survival time of UBE2C mRNA higher and lower expression groups was 48.85 months and 69.38 months.Compared with the lower expression group,the median survival time of UBE2C mRNA higher expression group was significantly shortened(P=0.045).T staging(T3/T4)and UBE2C expression(higher expression)were independent risk factors for poor prognosis in patients with liver cancer(P＜0.05).Compared with human liver epithelial cell line THLE-3,UBE2C protein and mRNA were significantly higher expressed in human hepatocellular carcinoma cell line HepG2,Huh7 and SMMC-7721(P＜0.05).The expression level of UBE2C protein and mRNA expression was the most significant in human hepatocellular carcinoma cell line HepG2 relative to cell line Huh7 and SMMC-7721.The CCK-8 results show that the cell proliferation rate in si-UBE2C group were significantly decreased protein and mRNA expression levels compared to control group and NC group at 72 h and 96 h,and the differences were significant(P＜0.05).The number of invasive cells in control group,NC group and si-UBE2C group were(23.12±3.45),(24.33±2.83)and(10.21±1.14),respectively.Compared with control group and NC group,the number of invasive cells in si-UBE2C group was significantly decreased(P＜0.05).Conclusion:UBE2C was higher expressed in liver cancer,and can be used as a biomarker for poor prognosis of patients with liver cancer.After silencing of UBE2C gene can significantly inhibit proliferation and invasion of HepG2.

Objective:To assess the performance of machine learning(ML),and integrate the clinical parameters with coronary artery calcium(CAC)score of computed tomography(CT)and quantification of automated epicardial adipose tissue(EAT),so as to predict the long-term risk of myocardial infarction(MI)and cardiogenic death in asymptomatic patients.Methods:A total of 1 058 subjects with cardiovascular risk factors and without symptoms of coronary heart disease who underwent physical examination at the Fifth Medical Center of Chinese PLA General Hospital from January 2013 to October 2015 were selected as this study subjects.A long-term follow-up was conducted on them after CAC score.EAT volume and density were quantified using a fully automated deep learning method.ML extreme gradient boosting was trained by using clinical data,risk score of atherosclerotic cardiovascular disease,CAC score and automated EAT measure,and the repeated 10-fold cross validation was used to verify the model.Results:During the 8-year follow-up period,61 cases of 1 058 subjects occurred events of MI and(or)cardiac death.The area under curve(AUC)value of ML was significantly higher than that of the atherosclerotic cardiovascular disease(ASCVD)risk and the predicting events of CAC score(ML:0.82,ASCVD:0.77,CAC:0.77).Compared with ML with only clinical variable,machine learning based on ASCVD,CAC and EAT had more predictive ability for MI and cardiac death[AUC 0.82(95%CI:77-87)vs.0.78(95%CI:0.72-0.84),P=0.02].The survival rate of subjects with high ML scores had a greater decline degree with the increasing of time,therefore,the subjects with higher ML scores were more likely to experience events.Conclusion:ML,which integrated clinical and quantitative imaging variables,can provide long-term risk prediction for patients with cardiovascular risk factors.

Objective:To investigate the factors influencing fall risk scores in elderly individuals.Methods:A total of 4 419 individuals were randomly selected using the cluster sampling method from Beijing, Nanning(Guangxi), and Yinchuan(Ningxia).Data on demographic characteristics and fall-related incidents were gathered and analyzed for their correlation with fall risk scores.Results:The fall risk score showed significant associations with various factors, such as the history of falls within one year( β=-3.607, 95% CI: -3.881 to -3.332), care methods( β=2.442, 95% CI: 2.226 to 2.658), exercise( β=0.714, 95% CI: 0.443 to 0.986), retirement( β=-0.585, 95% CI: -0.819 to -0.351), age( β=0.173, 95% CI: 0.159 to 0.187), and use of walking aids( β=-3.737, 95% CI: -4.054 to -3.421). Conclusions:Fall risk scores in older adults are influenced by a variety of factors.Factors such as no history of falls within the past year, living independently, engaging in physical activity, and being employed may contribute to lower fall risk scores in older adults.

Lipids,including fats(triglycerides)and lipoids(phospholipids and sterols),not only serve as an energy source for the body but also play a pivotal role throughout the reproductive process,particularly in the establishment and maintenance of early pregnancy.This encompasses the regulate of early embryonic development and uterine tolerance,and the facilitation of embryo implantation.Given the diversity of lipids,this review focuses on extensively studied lipid mediators such as polyunsaturated fatty acids,endocannabinoids,prostaglandins,lysophosphatidic acid,sphingolipids and steroid hormones.It systematically elaborates on the regulatory effects of fatty acid,phospholipid,and cholesterol metabolism on the formation of endometrial receptivity and embryo implantation,as well as the potential underlying mechanisms.The review aims to provide new insights and feasible intervention approaches for predicting and improving the outcomes of natural pregnancy and/or assisted reproductive technology.