1.Active Ingredients of Bupleuri Radix in Treatment of Central Nervous System: A Review
Shuhuan YANG ; Xin JIANG ; Runda YUAN ; Fang LU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(2):325-334
Diseases of the central nervous system have become a growing global health concern. At present, there are many adverse reactions in the treatment with Western medicine. In contrast, traditional Chinese medicine has shown unique efficacy and rich clinical practice accumulation in diseases of the central nervous system. As a traditional Chinese medicine, Bupleuri Radix has played an important role in the treatment of neurological diseases through multi-target regulation, multi-pathway intervention, and multi-pathway mechanism of action. In recent years, with the in-depth study of the pharmacological effects of Bupleuri Radix, it has been found that the active ingredients such as saikosaponin, baicalin, quercetin, and kaempferol in Bupleuri Radix can be used as the main material basis for the treatment of neurological diseases. The results of this study showed that in neurodegenerative diseases, active ingredients of Bupleuri Radix can inhibit β-amyloid (Aβ) deposition and abnormal phosphorylation of microtubule-associated protein (Tau protein) in Alzheimer's disease, regulate the nuclear factor-κB/nuclear factor E2 related factor 2 (NF-κB/Nrf2) pathway to play the anti-inflammatory role, and alleviate α-Synuclein (α-Syn) aggregation and mitochondrial damage in Parkinson's disease. In epilepsy, depression, and cerebral ischemia, they can improve symptoms by regulating neurotransmitters, oxidative stress, and apoptosis pathways, and inhibit brain glioma proliferation. However, the mechanism of action has not been fully elucidated, and the complexity of compound components and poor blood-brain barrier penetration limit their clinical application. In the future, it is necessary to integrate multi-omics, network pharmacology, and nano-delivery technologies, focus on the optimization of active ingredient group compounds and the precise guidance of biomarkers, accelerate the development of innovative therapies for Alzheimer's disease, Parkinson's disease, and other diseases for laying a solid theoretical foundation for further development and application and inspiring new research ideas.
2.Pharmaceutical process omics and its applications and prospects in drug quality control.
Yu-Ting LU ; Jia-Yu YANG ; Ying-Ting SHI ; Xin-Yuan XIE ; Jian-Yang PAN ; Hai-Bin QU
China Journal of Chinese Materia Medica 2025;50(13):3628-3634
The quality of drugs is a crucial premise for ensuring the safety and effectiveness of clinical medication, while quality control during the pharmaceutical process directly affects the quality and consistency of the final product formulation. However, there is a lack of a comprehensive and scientific system for assessing and optimizing the quality control level during the manufacturing process in the field of drug quality control. Therefore, this study proposed the concept of "pharmaceutical process omics", clarified its advantages in guiding drug production, and explored in depth the research approaches, diverse analytical techniques, and broad range of applications in drug quality control. In addition, this study anticipated the broad application prospects of pharmaceutical process omics in the field of drug quality control, aiming to provide a scientific basis for the development of pharmaceutical process quality control standards.
Quality Control
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Humans
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Drugs, Chinese Herbal/chemistry*
3.Explanation and interpretation of blood transfusion provisions for children with hematological diseases in the national health standard "Guideline for pediatric transfusion".
Ming-Yi ZHAO ; Rong HUANG ; Rong GUI ; Qing-Nan HE ; Ming-Yan HEI ; Xiao-Fan ZHU ; Jun LU ; Xiao-Jun XU ; Tian-Ming YUAN ; Rong ZHANG ; Xu WANG ; Jin-Ping LIU ; Jing WANG ; Zhi-Li SHAO ; Yong-Jian GUO ; Xin-Yin WU ; Jia-Rui CHEN ; Qi-Rong CHEN ; Jia GUO ; Ming-Hua YANG
Chinese Journal of Contemporary Pediatrics 2025;27(1):18-25
To guide clinical blood transfusion practices for pediatric patients, the National Health Commission has issued the health standard "Guideline for pediatric transfusion" (WS/T 795-2022). Blood transfusion is one of the most commonly used supportive treatments for children with hematological diseases. This guideline provides guidance and recommendations for blood transfusions in children with aplastic anemia, thalassemia, autoimmune hemolytic anemia, glucose-6-phosphate dehydrogenase deficiency, acute leukemia, myelodysplastic syndromes, immune thrombocytopenic purpura, and thrombotic thrombocytopenic purpura. This article presents the evidence and interpretation of the blood transfusion provisions for children with hematological diseases in the "Guideline for pediatric transfusion", aiming to assist in the understanding and implementing the blood transfusion section of this guideline.
Humans
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Child
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Hematologic Diseases/therapy*
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Blood Transfusion/standards*
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Practice Guidelines as Topic
4.Explanation and interpretation of the compilation of blood transfusion provisions for children undergoing hematopoietic stem cell transplantation in the national health standard "Guideline for pediatric transfusion".
Rong HUANG ; Qing-Nan HE ; Ming-Yan HEI ; Xiao-Fan ZHU ; Jun LU ; Xiao-Jun XU ; Tian-Ming YUAN ; Rong ZHANG ; Xu WANG ; Jin-Ping LIU ; Jing WANG ; Zhi-Li SHAO ; Ming-Yi ZHAO ; Yong-Jian GUO ; Xin-Yin WU ; Jia-Rui CHEN ; Qi-Rong CHEN ; Jia GUO ; Rong GUI ; Ming-Hua YANG
Chinese Journal of Contemporary Pediatrics 2025;27(2):139-143
To guide clinical blood transfusion practices for pediatric patients, the National Health Commission has issued the health standard "Guideline for pediatric transfusion" (WS/T 795-2022). Blood transfusion for children undergoing hematopoietic stem cell transplantation is highly complex and challenging. This guideline provides recommendations on transfusion thresholds and the selection of blood components for these children. This article presents the evidence and interpretation of the transfusion provisions for children undergoing hematopoietic stem cell transplantation, with the aim of enhancing the understanding and implementation of the "Guideline for pediatric transfusion".
Humans
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Hematopoietic Stem Cell Transplantation
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Child
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Blood Transfusion/standards*
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Practice Guidelines as Topic
5.Explanation and interpretation of blood transfusion provisions for critically ill and severely bleeding pediatric patients in the national health standard "Guideline for pediatric transfusion".
Rong HUANG ; Qing-Nan HE ; Ming-Yan HEI ; Ming-Hua YANG ; Xiao-Fan ZHU ; Jun LU ; Xiao-Jun XU ; Tian-Ming YUAN ; Rong ZHANG ; Xu WANG ; Jin-Ping LIU ; Jing WANG ; Zhi-Li SHAO ; Ming-Yi ZHAO ; Yong-Jian GUO ; Xin-Yin WU ; Jia-Rui CHEN ; Qi-Rong CHEN ; Jia GUO ; Rong GUI
Chinese Journal of Contemporary Pediatrics 2025;27(4):395-403
To guide clinical blood transfusion practices for pediatric patients, the National Health Commission has issued the health standard "Guideline for pediatric transfusion" (WS/T 795-2022). Critically ill children often present with anemia and have a higher demand for transfusions compared to other pediatric patients. This guideline provides guidance and recommendations for blood transfusions in cases of general critical illness, septic shock, acute brain injury, extracorporeal membrane oxygenation, non-life-threatening bleeding, and hemorrhagic shock. This article interprets the background and evidence of the blood transfusion provisions for critically ill and severely bleeding children in the "Guideline for pediatric transfusion", aiming to enhance understanding and implementation of this aspect of the guidelines. Citation:Chinese Journal of Contemporary Pediatrics, 2025, 27(4): 395-403.
Humans
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Critical Illness
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Blood Transfusion/standards*
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Child
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Hemorrhage/therapy*
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Practice Guidelines as Topic
6.Explanation and interpretation of blood transfusion provisions for children undergoing cardiac surgery in the national health standard "Guideline for pediatric transfusion".
Rong HUANG ; Qing-Nan HE ; Ming-Yan HEI ; Ming-Hua YANG ; Xiao-Fan ZHU ; Jun LU ; Xiao-Jun XU ; Tian-Ming YUAN ; Rong ZHANG ; Xu WANG ; Jing WANG ; Zhi-Li SHAO ; Ming-Yi ZHAO ; Yong-Jian GUO ; Xin-Yin WU ; Jia-Rui CHEN ; Qi-Rong CHEN ; Jia GUO ; Rong GUI ; Jin-Ping LIU
Chinese Journal of Contemporary Pediatrics 2025;27(7):778-785
To guide clinical blood transfusion practices in pediatric patients, the National Health Commission has issued the health standard "Guideline for pediatric transfusion" (WS/T 795-2022). Children undergoing cardiac surgery are at high risk of bleeding, and the causes of perioperative anemia and coagulation disorders in neonates and children are complex and varied, often necessitating the transfusion of allogeneic blood components. This guideline provides direction and recommendations for specific measures in blood management for children undergoing cardiac surgery before, during, and after surgery. This article interprets the background and evidence for the formulation of the blood transfusion provisions for children undergoing cardiac surgery, hoping to facilitate the understanding and implementation of this guideline.
Humans
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Cardiac Surgical Procedures
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Blood Transfusion/standards*
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Child
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Practice Guidelines as Topic
7.Proceedings of 7T MR Imaging Studies in Cerebral Small Vessel Disease
Zihao ZHANG ; Yun YUAN ; Peiyu HUANG ; He WANG ; Xin LOU ; Qi YANG ; Jie LU ; Yilong WANG
Chinese Journal of Medical Imaging 2025;33(5):512-518
Cerebral small vessel disease represents a group of common vascular disorders involving pathological changes in arterioles,capillaries and venules,with microvascular investigation remaining a key challenge in stroke.With high signal-to-noise ratio and high contrast enabled by enhanced field strength,7T MRI can surpass the resolution limits of 3T MRI,revealing structural and functional abnormalities in cerebral small vessels below 400 μm,as well as detecting subtle lesions in brain tissue.This paper reviews the research progress of multimodal high-resolution imaging techniques based on 7T MRI,such as time-of-flight angiography,phase contrast imaging and susceptibility imaging,in the study of cerebral small vessel disease.Utilizing these technologies,7T MRI can clearly display the structure of cerebral small vessels,such as the lenticulostriate arteries and deep medullary veins,and measure functional parameters like flow velocity and susceptibility.Additionally,it can sensitively detect cerebral microbleeds and cortical cerebral microinfarct.These imaging data provide valuable information for detecting early features of cerebral small vessel disease and assessing its progression,offering new insights into its pathogenesis.Combined with artificial intelligence-based image analysis methods,7T MRI holds great promise for early diagnosis and progression evaluation in cerebral small vessel disease.
8.Relationship between expression of CTLA-4,PD-1,and BTLA in periph-eral blood and pathological characteristics and prognosis on moderate and advanced liver cancer
Chinese Journal of Current Advances in General Surgery 2025;28(3):191-195
Objective:To observe the relationship between the expression of cytotoxic T lymphocyte antigen-4(CTLA-4),programmed death receptor-1(PD-1),and T lymphocyte attenuator(BTLA)in peripheral blood cells and the pathological characteristics and prognosis of patients with moderate and advanced liver cancer.Methods:A total of 120 patients with moderate and advanced liver cancer and 120 physical examination subjects admitted to our hospital were selected as the liver cancer group and control group.The levels of CTLA-4,PD-1,and BTLA in the two groups and dif-ferent clinical pathological characteristics of the liver cancer group were compared,and the correlation between periph-eral blood indicators and clinical pathological characteristics was analyzed;The liver cancer group was followed up for 2 years and divided into poor prognosis and good prognosis groups based on prognosis.The expression of various indica-tors in patients with different prognoses was compared,and the predictive value of peripheral blood indicators combined for the prognosis and survival relationship of advanced liver cancer was analyzed.Result:The levels of CTLA-4,PD-1,and BTLA mRNA in the peripheral blood of the liver cancer group were higher than those in the control group(P<0.05);Comparison of peripheral blood CTLA-4,PD-1 and BTLA mRNA levels in patients with different tumour numbers,differ-entiation,clinical stage,tumour size and vascular invasion in the liver cancer group,there were statistically significant dif-ferences(P<0.05);the levels of CTLA-4,PD-1,and BTLA mRNA in peripheral blood were positively correlated with tu-mor number,differentiation degree,clinical stage,and vascular invasion(P<0.05);the mRNA levels of CTLA-4,PD-1,and BTLA in peripheral blood of patients with poor prognosis in moderate and advanced liver cancer were higher than those of patients with good prognosis(P<0.05);the AUC of peripheral blood CTLA-4,PD-1,and BTLA mRNA combined to predict the prognosis of moderate and advanced liver cancer was 0.935;the overall survival rate of patients with high expression of CTLA-4,PD-1,and BTLA mRNA was lower than that of patients with low expression of CTLA-4,PD-1,and BTLA mRNA(P<0.05).Conclusion:The expression of CTLA-4,PD-1,and BTLA in peripheral blood is associated with the pathological characteristics and prognosis of patients with moderate and advanced liver cancer,have high com-bined predictive value of patient progsosis.
9.Construction and Optimization of Alzheimer's Disease Classification Model Based on Brain Mixed Function Network Topology Parameters and Machine Learning
Xiao-yu HAN ; Xiu-zhu JIA ; Yang LI ; Meng-ying LOU ; Yong-qi NIE ; Xin-ping GUO ; Lu YU ; Zhi-yuan LI ; Lian-zheng SU
Progress in Modern Biomedicine 2025;25(11):1770-1778
Objective:To explore the interrelationship between brain functional networks and features in functional magnetic resonance imaging(fMRI)of patients with Alzheimer's disease(AD),and to construct mixed-function networks(MFN),and apply them in machine learning classification models to improve the accuracy of AD classification.Methods:102 AD patients and 227 healthy subjects in the Alzheimer's Neuroimaging Initiative(ADNI)dataset were retrospectively analyzed.The partial correlation brain network of the blood oxygen level dependent(BOLD)signal was calculated and fused with low-frequency wave amplitude(ALFF),fractional low-frequency wave amplitude(fALFF)and local consistency(ReHo)features to construct MFN.Network topology parameters were extracted,and a variety of machine learning classification models were constructed based on MFN topological parameters,accuracy,precision,recall and area under the curve(AUC)were used to evaluate the predictive efficiency of the models.Results:By constructed MFN and calculated intra group to inter group ratio(IIGR),35 features could be obtained from ALFF,fALFF and ReHo feature topological parameter analysis,after rank sum test and FDR correction,there were statistical differences among 28 features(P<0.05).The classification results show that,all the five classifiers have high classification performance on the test data set.The accuracy,precision and recall rates of random forest(RF),adaptive lifting algorithm(AdaBoost),guided aggregation algorithm(Bagging)and support vector machine(SVM)were all 99.7%,and the AUC values were up to 100%,99.5%,99.1%and 99.5%,respectively.The accuracy(98.5%),precision(98.5%),recall(98.5%),and AUC(99.1%)of the multi-layer perceptron(MLP)were slightly lower than other models,but remained excellent.It was worth noting that RF has the highest AUC value of all models at 100.0%,while Bagging has the lowest AUC value(99.1%)in the integrated approach.The results of performance comparison show that,MFN classification model can significantly improve the recognition and classification of AD disease,and greatly improve the performance of various indicators of the classifier.The results showed that,MFN classification model was superior to intelligent classification based fusion,DBN-based multitask learning,PVT-TSVM,unsupervised learning and clustering,SVM and SVM of degree 3 polynomial kernel function in key indicators such as accuracy(99.13%),AUC(99.42%),recall rate(99.46%)and specificity(99.42%)with plasma proteins,machine learning algorithms.It was further proved that MFN classification model has good generalization ability and robustness in AD disease classification.Conclusion:The AD classification model constructed based on brain mixed function network topology parameters and machine learning can improve the accuracy of AD classification.
10.Glycosylated ceramide-related metabolic enzymes and atherosclerosis
Xin TAN ; Qiang WEI ; Yuan-hong LIAO ; Jing-kun LU
Chinese Pharmacological Bulletin 2025;41(6):1005-1010
Atherosclerosis is an arterial lesion involving abnor-mal lipid metabolism and an inflammatory response,and is the initiating factor of many cardiovascular and cerebrovascular dis-eases.Glycosylated ceramides are derivatives of ceramide mole-cules with a glycosylated group attached,which not only affect the structural integrity of cell membranes,but also regulate apop-tosis,inflammation and lipid metabolism,and disorders of glyco-sylated ceramide metabolism are closely related to the occurrence and progression of atherosclerosis.This review focuses on the specific functions of the glycosylated ceramide-related metabolic enzymes glucose ceramide synthetase,glucosylceramide syn-thetase,lactose ceramide synthetase,and galactosidase in athero-sclerosis,as well as their important effects on the development of atherosclerosis.Targeted therapeutic strategies for these meta-bolic enzymes,related drug development and significant potential in atherosclerosis prevention and treatment are also reviewed.

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