A novel method was developed for the rapid determination of multi-indicators in corni fructus by means of near infrared (NIR) spectroscopy. Particle swarm optimization (PSO) based least squares support vector machine was investigated to increase the levels of quality control. The calibration models of moisture, extractum, morroniside and loganin were established using the PSO-LS-SVM algorithm. The performance of PSO-LS-SVM models was compared with partial least squares regression (PLSR) and back propagation artificial neural network (BP-ANN). The calibration and validation results of PSO-LS-SVM were superior to both PLS and BP-ANN. For PSO-LS-SVM models, the correlation coefficients (r) of calibrations were all above 0.942. The optimal prediction results were also achieved by PSO-LS-SVM models with the RMSEP (root mean square error of prediction) and RSEP (relative standard errors of prediction) less than 1.176 and 15.5% respectively. The results suggest that PSO-LS-SVM algorithm has a good model performance and high prediction accuracy. NIR has a potential value for rapid determination of multi-indicators in Corni Fructus.

Aim To study the effect of EA on the injury induced by hypoxia/reoxygenation in primary cultures of rat hippocampal neurons.Methods Rat hippocampal neurons in primary culture were used,and a apoptosis model was induced by hypoxia/reoxygenation.MTT assay and LDH releasing rate were used to detect the cell viability.The apoptosis rate of hippocampal neurons was analyzed by Hoechst 33258 staining,flow cytometry with AnnexinV-FITC and PI staining.Western blot was used to detect the protein expression of AKT and p-AKT.Results Compared to control group,three hours of hypoxia followed by sixteen hours of reoxygenation induced hippocampal neuronal apoptosis.EA could raise the neuronal viability and reduce apoptosis rate and the damage degree of rat hippocampal neurons.EA could increase the expressing of p-AKT.Conclusions EA has protective effects on damaged neurons,and the mechanism may be related to activating the PI3K-AKT signal transduction pathway.

Aim To observe the neurological protective effects of astragalosides(AST) on focal cerebral ischemia-reperfusion(I/R) injury in rats and to explore its possible mechanism.Methods Male SD rats received right middle cerebral artery occlusion for 120 min,and were decapitated 1,3,7,and 14 days after reperfusion.AST(40 mg?kg-1) was orally administered after I/R.Neurological deficit score was daily determined,the expressions of BDNF and p75NTR mRNA were detected by RT-PCR,and the expression of TrkB mRNA was detected by real-time PCR.Results AST reduced the neurological deficit score on days 3,increased the expression of BDNF mRNA on days 3,7 and 14,decreased p75NTR mRNA and increased TrkB mRNA on days 3 and 7.Conclusions AST improves the neurological deficits after I/R in rats.The mechanism may be related with increasing BDNF,and TrkB mRNA,and decreasing p75NTR mRNA.

OBJECTIVETo study the protective effects and mechanisms of astragaloside (AST) and astragalus saponin I (ASI) on the memory impairment in senescent rats treated by glucocorticoid (GC).

METHODY maze test was performed to determine the effects of AST and ASI on memory impairment of hydrocortisone(HC)-induced senescent rats. Using Ca2+ sensitive fluorescent indicator (Furo-2), free intracellular calcium concentration ([Ca2+]i) was measured by double wavelength fluorescence sepectrophotometer in thymocytes and hippocampal neurons induced dexamethasone (DEX). And apoptosis was detected by DNA gel electrophoresis and flow cytometry.

RESULTCompared with HC control, AST and ASI can improve the memory of the senescent rats treated by HC, lower [Ca2+]i and suppress apoptosis of thymocytes and hippocampal neurons induced by DEX.

CONCLUSIONAST and ASI can delay the aging in rats treated by HC, and its mechanism may includ lowering[Ca2+]i and suppressing the apoptosis of thymocytes and hippocampal neurons.

Aging ; drug effects ; metabolism ; pathology ; Animals ; Apoptosis ; drug effects ; Body Weight ; drug effects ; Calcium ; metabolism ; Dexamethasone ; adverse effects ; Female ; Glucocorticoids ; adverse effects ; Hippocampus ; pathology ; Intracellular Space ; drug effects ; metabolism ; Male ; Memory Disorders ; chemically induced ; metabolism ; pathology ; prevention & control ; Neurons ; drug effects ; pathology ; Rats ; Saponins ; pharmacology

The research on human hepatobiliary development and disorders has been constrained by minimal access to human fetal tissue, and low accuracy of animal models. To overcome this problem, we have established a system for the differentiation of human pluripotent stem cells (hPSCs) into functional hepatobiliary organoids (HBOs). We have previously reported that our 45-d approach closely mimics key stages of hepatobiliary development, starting with the differentiation of hiPSC into endoderm and a small part of mesoderm, and subsequently into hepatoblast-like cells, followed by the parallel generation of hepatocyte-like cells and cholangiocyte-like cells, formation of immature HBO expressing early hepatic and biliary markers, and mature HBO displaying hepatobiliary functionality. In this study, we present an updated version of our previous protocol, which only needs 35 days to achieve maturation in vitro. Furthermore, a hepatobiliary culture medium is developed to functionally maintain the HBOs for more than 1.5 months. The capacity of this approach for producing large amounts of functional HBOs and enabling long-term culture in vitro holds promise for applications on developmental research, disease modeling, as well as screening of therapeutic agents.

Derived from embryonic stem cells, induced pluripotent stem cells, or adult stem cells, liver organoids not only mimic the tissue structure, gene expression patterns, and genetic characteristics of in vivo liver but also demonstrate significant potential in simulating liver diseases, drug screening, precision medicine, and regenerative medicine. This technology is particularly valuable in modeling various conditions such as malignant liver tumors, liver fibrosis, cirrhosis, viral hepatitis, and a range of genetic and metabolic liver diseases. However, challenges remain in enhancing the derivation and proliferation efficiency of organoids, constructing immune microenvironments, developing functional vascular networks, and achieving standardization and automation in the organoid preparation process. Looking forward, with continued technological advancements and innovations, these issues are expected to be resolved, paving the way for liver organoids to play a more substantial role in clinical and research applications, ultimately contributing significantly to public health. This review comprehensively explores the development and extensive applications of liver organoid technology in the field of biomedical science. The aim is to inform subsequent research.

Objective To explore the application status and development trend of machine learning in the field of pharmacovigilance worldwide,and to provide reference for the research on the application of machine learning in the field of pharmacovigilance.Methods Relevant literature was searched in the Web of Science with the key words of"machine learning"and"pharmacovigilance"from the inception to March 1,2023.R language and other software were used to quantitatively analyze the literature data in this field.The clustering,co-occurrence and emergence visual analysis were carried out on the characteristics of annual published papers,institutions,countries,keywords and other aspects.Results A total of 904 literature were included.The number of literature published showed a fluctuating upward trend since 1994.There was cross-regional,cross-regional and cross-agency cooperation among the cooperative network institutions.The top 5 countries in the number of publications were the United States,China,Japan,South Korea and India,China and the United States had relatively close cooperation in this field.Signal detection,social media and electronic health records were high-frequency keywords in this field.Clustering and association rule analysis showed that this field focused on three aspects signal recognition,unstructured text mining and analysis,and processing and analysis of electronic medical information.At present,machine learning has made significant progress in signal recognition,social media information mining,and unstructured text processing of electronic medical information,which broaden the data sources of pharmacovigilance,improve the real-time monitoring ability of adverse drug reactions,bringing innovation impetus to the field of pharmacovigilance.Conclusion The rapid development of big data and artificial intelligence technologies has led to an increasing integration of machine learning into the field of pharmacovigilance,which promotes technical exchanges and cooperation and cross-disciplinary integration.It is necessary to optimize each machine learning algorithm to improve its accuracy and stability in pharmacovigilance,strengthen the protection measures of data privacy and security to ensure the safety of patient information.Integrating expertise in the fields of science,medicine,and data statistics with a view to promoting technological progress in the field of pharmacovigilance.

OBJECTIVE To mine the risk sig nals o f iodine contrast media from spontaneous reporting system. METHODS Reporting odds ratio ，proportional reporting ratio ，Medicines and Healthcare Products Regulatory Agency and Bayesian confidence propagation neural network were used to mine risk signals of 5 iodine contrast media （iopamidol，iohexol，iopromide，ioversol， iodixanol）. RESULTS 1 164（2 446 case times ）adverse drug reaction of iodine contrast media were included ，a total of 14 risk signals involving systems/organs such as respiratory system （3，2，4，3，2 for the above 5 iodine contrast media ）and immune system and 32 specific adverse drug reaction signals including anaphylactic shock ，rash and flushing （11，7，7，3，4 for the above 5 iodine contrast media ）were found in 5 iodine contrast media. CONCLUSIONS The risk signals of 5 iodine contrast media verify that there is a certain correlation between these drugs and above adverse drug reactions. It is suggested that before using iodine contrast media in clinic ，it is necessary to pay attention to whether the patient has a history of tumor and combined medication ，evaluate the patient’s renal function ，and give preventive measures such as hydration in advance. When using iodine contrast media ，it is necessary to pay attention to the temperature ，dose and injection rate. And medical staff need to follow up the patient ’s situation in time after using iodine contrast media to avoiding the impact of delayed adverse reactions.

Objective To investigate the potential role of the traditional herbal medicine Datura metel L.in the treatment of psoriasis using TNF-α-induced inflammation in keratinocytes as a model.Methods Keratinocyte cell line HaCaT was used to establish a psoriasis cell model by tumor necrosis factor-alpha(TNF-α)treatment.The ex-periment comprised three groups:a blank control group,TNF-α-induced psoriasis model group,and TNF-α+Datura metel L.intervention group.Level of IL-17 and CCL20 was measured ELISA,expression of nuclear factor kappa B(NF-κB)subunit p65 protein was measured by Western blot.Endothelial cell tube formation experiment was conducted using an in vitro angiogenesis analysis kit.Results Compared to the TNF-α-induced psoriasis model group,the Datura metel L.extract significantly reduced the levels of IL-17 and CCL20 in the cell culture su-pernatant of TNF-α-induced psoriasis model(P＜0.001);Datura metel L.extract markedly decreased the NF-κB subunit p65 protein level in TNF-α-induced psoriasis model cells(P＜0.01);Datura metel L.extract effectively inhibited the induction of endothelial cell tube formation by the cell culture supernatant of the psoria-sis model group.Conclusions The Datura metel L.extract down-regulates NF-κB signaling pathway mole-cules,reducing the production of IL-17 and CCL20 inflammatory factors in inflammatory keratinocytes and in-hibiting angiogenesis.

OBJECTIVE To systematically evaluate the efficacy and safety of transcatheter arterial chemoembolization （TACE） combined with anti-angiogenic drugs for the treatment of unresectable primary liver cancer （PLC）. METHODS Retrieved from Chinese and English databases such as CNKI， the Cochrane Library， Google， and Baidu Academic， randomized controlled trial （RCT） about TACE combined with anti-angiogenic drugs for the treatment of unresectable PLC were collected from the inception to May 27， 2024. After screening the literature， extracting data， and evaluating the quality of the literature， network meta-analysis was performed using R 4.2.2 and Stata 17.0. RESULTS A total of 44 RCT were included， involving 5 607 patients and 8 interventions. The network meta-analysis results showed that for prolonging median overall survival （mOS） and median progression- free survival （mPFS）， TACE+apatinib had the best efficacy， with TACE+apatinib and TACE+sorafenib ranking as the top two. For improving objective response rate （ORR） and disease control rate （DCR）， TACE+donafenib had the best efficacy， with TACE+ donafenib and TACE+ lenvatinib ranking as the top two. In terms of safety， TACE+donafenib was the best， with TACE+donafenib and TACE+apatinib ranking as the top two. CONCLUSIONS TACE+apatinib and TACE+donafenib have good efficacy for patients with unresectable PLC， and TACE+donafenib has the best safety profile.