1.Neuroprotective Mechanism of Yifei Xuanfei Jiangzhuo Prescription on VaD Rats Based on NF-κB/NLRP3 Signaling Pathway
Bingmao YUAN ; Wei CHEN ; Xiu LAN ; Lingfei JIANG ; Lin WU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):88-96
ObjectiveTo investigate the molecular mechanism by which Yifei Xuanfei Jiangzhuo prescription regulates the nuclear factor-κB (NF-κB)/NOD-like receptor protein 3 (NLRP3) signaling pathway to improve neuronal function in vascular dementia (VaD) rats. MethodsA VaD model was established by intermittently clamping the bilateral common carotid arteries (CCA) combined with bilateral vascular occlusion (2-VO). Eighty-four SD rats were randomly divided into a blank group, sham group, model group, piracetam group (0.2 g·kg-1), and low-, medium-, and high-dose Yifei Xuanfei Jiangzhuo prescription groups (6.09, 12.18, and 24.36 g·kg-1). Drug administration began on day 7 after surgery, once daily for 28 consecutive days. Behavioral experiments were used to evaluate learning and spatial memory. Hematoxylin-eosin (HE) staining was applied to observe pathological morphological changes in the CA1 region of the hippocampus. Transmission electron microscopy was used to examine the ultrastructure of hippocampal neurons. Terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) was used to detect neuronal apoptosis in the CA1 region. Immunohistochemistry was performed to determine the positive expression rate of neuronal nuclear antigen (NeuN). Immunofluorescence single staining was used to assess nuclear expression of NF-κB p65 in brain tissue. Western blot was used to detect the protein expression levels of inhibitor of κB kinase (IKK), NF-κB p65, NLRP3, Caspase-1, apoptosis-associated speck-like protein (ASC), and interleukin-1β (IL-1β). ResultsCompared with the blank group, the model group showed a significant reduction in platform-crossing frequency (P0.01), aggravated hippocampal injury, a significant increase in neuronal apoptosis (P0.05), decreased NeuN positivity in the CA1 region (P0.05), increased nuclear expression of NF-κB p65 (P0.05), and significantly elevated expression of p-IKK, p-NF-κB p65, NLRP3, cleaved Caspase-1, ASC, and cleaved IL-1β (P0.05). Compared with the model group, all drug-treated groups improved learning and spatial memory in VaD rats, alleviated hippocampal pathological injury and neuronal apoptosis, and protected neuronal ultrastructure. Yifei Xuanfei Jiangzhuo prescription at doses of 12.18 and 24.36 g·kg-1 reduced hippocampal expression levels of p-IKK, p-NF-κB p65, NLRP3, Caspase-1, ASC, and cleaved IL-1β in VaD rats (P0.05), showing dose-dependent inhibition of the NF-κB/NLRP3 signaling pathway. ConclusionYifei Xuanfei Jiangzhuo prescription may exert neuroprotective effects by regulating the NF-κB/NLRP3 signaling pathway, thereby reducing neuroinflammation and inhibiting hippocampal neuronal apoptosis.
2.Neuroprotective Mechanism of Yifei Xuanfei Jiangzhuo Prescription on VaD Rats Based on NF-κB/NLRP3 Signaling Pathway
Bingmao YUAN ; Wei CHEN ; Xiu LAN ; Lingfei JIANG ; Lin WU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):88-96
ObjectiveTo investigate the molecular mechanism by which Yifei Xuanfei Jiangzhuo prescription regulates the nuclear factor-κB (NF-κB)/NOD-like receptor protein 3 (NLRP3) signaling pathway to improve neuronal function in vascular dementia (VaD) rats. MethodsA VaD model was established by intermittently clamping the bilateral common carotid arteries (CCA) combined with bilateral vascular occlusion (2-VO). Eighty-four SD rats were randomly divided into a blank group, sham group, model group, piracetam group (0.2 g·kg-1), and low-, medium-, and high-dose Yifei Xuanfei Jiangzhuo prescription groups (6.09, 12.18, and 24.36 g·kg-1). Drug administration began on day 7 after surgery, once daily for 28 consecutive days. Behavioral experiments were used to evaluate learning and spatial memory. Hematoxylin-eosin (HE) staining was applied to observe pathological morphological changes in the CA1 region of the hippocampus. Transmission electron microscopy was used to examine the ultrastructure of hippocampal neurons. Terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) was used to detect neuronal apoptosis in the CA1 region. Immunohistochemistry was performed to determine the positive expression rate of neuronal nuclear antigen (NeuN). Immunofluorescence single staining was used to assess nuclear expression of NF-κB p65 in brain tissue. Western blot was used to detect the protein expression levels of inhibitor of κB kinase (IKK), NF-κB p65, NLRP3, Caspase-1, apoptosis-associated speck-like protein (ASC), and interleukin-1β (IL-1β). ResultsCompared with the blank group, the model group showed a significant reduction in platform-crossing frequency (P0.01), aggravated hippocampal injury, a significant increase in neuronal apoptosis (P0.05), decreased NeuN positivity in the CA1 region (P0.05), increased nuclear expression of NF-κB p65 (P0.05), and significantly elevated expression of p-IKK, p-NF-κB p65, NLRP3, cleaved Caspase-1, ASC, and cleaved IL-1β (P0.05). Compared with the model group, all drug-treated groups improved learning and spatial memory in VaD rats, alleviated hippocampal pathological injury and neuronal apoptosis, and protected neuronal ultrastructure. Yifei Xuanfei Jiangzhuo prescription at doses of 12.18 and 24.36 g·kg-1 reduced hippocampal expression levels of p-IKK, p-NF-κB p65, NLRP3, Caspase-1, ASC, and cleaved IL-1β in VaD rats (P0.05), showing dose-dependent inhibition of the NF-κB/NLRP3 signaling pathway. ConclusionYifei Xuanfei Jiangzhuo prescription may exert neuroprotective effects by regulating the NF-κB/NLRP3 signaling pathway, thereby reducing neuroinflammation and inhibiting hippocampal neuronal apoptosis.
3.Epidemiological and clinical characteristics of 954 cases of infectious diseases of central nervous system in Chongqing
Lan ZHANG ; Zhu-Juan ZHOU ; Chang CHENG ; Yu-Han WANG ; Wen-Chao CHENG ; Xiu-Ying CHEN ; Kai-Yuan DONG ; Wen HUANG
Medical Journal of Chinese People's Liberation Army 2024;49(5):534-541
Objective To investigate the epidemiological and clinical characteristics of 954 cases of central nervous system(CNS)infections in Chongqing.Methods A retrospective analysis was conducted on 954 patients with CNS infectious disease diagnosed and treated in the Second Affiliated Hospital of Army Medical University from 2008 to 2021.The analysis encompassed pathogens,patient gender,age of onset,time of onset,urban-rural distribution,education level,occupational distribution,and other epidemiological characteristics.The clinical manifestations,the positive rate of metagenomic next-generation sequencing(mNGS),and prognosis were also analyzed.Results Among the 945 cases of CNS infectious diseases,the pathogens were viruses in 393(41.2%),Mycobacterium tuberculosis in 361(37.8%),other bacteria in 108(11.3%),Cryptococcus in 75(7.9%),Treponema pallidum in 16(1.7%)and parasites in 1(0.1%).The number of CNS infection cases from 2015 to 2021 increased by 85.6%compared with that from 2008 to 2014(620 vs.334,P<0.001).There was no significant difference in seasonal distribution of pathogens(P>0.05).CNS infectious diseases were more prevalent in rural areas(58.0%,P<0.001),with a male-to-female ratio of 1.7:1.0,and a higher incidence in individuals aged between 35 and 60 years.The majority of patients were educated at Junior high school level or below(68.7%)and were farmers or workers(68.1%).Clinical symptoms of CNS infectious disease mainly included fever,headache,signs of meningeal irritation,nausea and vomiting,which could be accompanied by consciousness disorder and focal neurological deficits.mNGS significantly improves the accuracy of clinical diagnosis.The rate of good prognosis of CNS infectious diseases was 97.5%,while the mortality rate was 0.3%.Conclusions In Chongqing area,the categories and species of CNS infectious pathogens are diverse,widely prevalent,and the clinical manifestations are complex.Moreover,the number of cases has been increasing in recent years.Understanding the epidemiological and clinical characteristics of CNS infectious diseases can help to recognize the regional differences,promote early accurate diagnosis and treatment,and improve prognosis.
4.Clinical Observation on the Joint Needling Method Combined with Ultrasound in the Treatment of Patellofemoral Pain Syndrome of Qi Stagnation and Blood Stasis Type
Xiu-Lan LI ; Hui-Kang YUAN ; Shu-Xiong LUO ; Long-An CHEN ; Ai-Guo XUE ; Yu-Bing LIU
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(1):141-146
Objective To observe the clinical efficacy of joint needling method combined with ultrasound in the treatment of qi stagnation and blood stasis type of patellofemoral pain syndrome(PFPS).Methods Eighty-six patients with qi stagnation and blood stasis type of PFPS were randomly divided into observation group and control group,with 43 cases in each group.The control group was given western medicine conventional treatment combined with functional exercise,and the observation group was given joint needling method combined with ultrasound treatment on the basis of the control group.Both groups were treated for 2 consecutive weeks.After 2 weeks of treatment,the clinical efficacy of the two groups was evaluated,and the changes in the Visual Analogue Scale(VAS)scores of knee pain and the Kujala scale scores of the two groups were observed before and after treatment.The changes in active range of motion(AROM)of the affected knee joint were compared before and after treatment between the two groups.Results(1)After treatment,the VAS scores of the two groups of patients were significantly improved(P<0.05),and the observation group was significantly superior to the control group in improving the level of VAS scores,and the difference was statistically significant(P<0.05).(2)After treatment,the Kujala scores of patients in the two groups were significantly improved(P<0.05),and the observation group was significantly superior to the control group in improving the level of Kujala scores,and the difference was statistically significant(P<0.05).(3)After treatment,the AROM of patients in the two groups were significantly improved(P<0.05),and the observation group was significantly superior to the control group in improving the level of AROM,and the difference was statistically significant(P<0.05).(4)The total effective rate was 95.35%(41/43)in the observation group and 81.40%(35/43)in the control group.The efficacy of the observation group was superior to that of the control group,and the difference was statistically significant(P<0.05).Conclusion The joint needling method combined with ultrasound can significantly relieve the pain symptoms of patients with PFPS and promote the recovery of knee joint function,and the clinical efficacy is remarkable.
5.An intelligent model for classifying supraventricular tachycardia mechanisms based on 12-lead wearable electrocardiogram devices
Hongsen WANG ; Lijie MI ; Yue ZHANG ; Lan GE ; Jiewei LAI ; Tao CHEN ; Jian LI ; Xiangmin SHI ; Jiancheng XIU ; Min TANG ; Wei YANG ; Jun GUO
Journal of Southern Medical University 2024;44(5):851-858
Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.
6.An intelligent model for classifying supraventricular tachycardia mechanisms based on 12-lead wearable electrocardiogram devices
Hongsen WANG ; Lijie MI ; Yue ZHANG ; Lan GE ; Jiewei LAI ; Tao CHEN ; Jian LI ; Xiangmin SHI ; Jiancheng XIU ; Min TANG ; Wei YANG ; Jun GUO
Journal of Southern Medical University 2024;44(5):851-858
Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.
7.Development of DUS testing guidelines of Artemisia argyi.
Chang-Jie CHEN ; Yu-Huan MIAO ; Xiu-Fu WAN ; Lan-Ping GUO ; Da-Hui LIU
China Journal of Chinese Materia Medica 2024;49(21):5835-5842
Artemisia argyi is a perennial herbaceous herb of the Artemisia family, with leaves for medical use. However, the germplasm of A. argyi is seriously unclear and mixed during production, and it is urgent to protect new varieties of A. argyi. The distinctness, uniformity, and stability(DUS) testing of the new varieties of plants is the basis for the protection of new varieties of plants, and the development of the DUS testing guidelines is the technical basis for DUS testing. To develop the DUS testing guidelines of A. argyi, A. argyi of 100 germplasm was used as the research objects, and their agronomic and medicinal quality characters were observed and measured during six growth stages, and each character was graded and described. A total of 53 test characters were determined, including 19 characters that must be tested; there were four plant characters, two rhizome characters, five stem characters, three branching characters, 29 leaf characters, three floral characters, five medicinal quality characters, and two other characters. It also involved 16 quality characters, 22 quantitative characters, and 15 pseudo-quantitative characters. Seven grouping characters were determined from 53 characters, including "emergence period" "plant-plant type" "branching-primary branching site" "stem-color" "middle leaf-number of leaf splits" "budding period", and "plant-height". By searching for standard characters, 16 standard varieties were ultimately determined. The preparation of this guideline was of great significance for the review and protection of new A. argyi varieties, the protection of breeders' rights, and the promotion of the development of A. argyi industry.
Artemisia/chemistry*
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Plant Leaves/chemistry*
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Quality Control
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Plants, Medicinal/classification*
;
Guidelines as Topic
8.Effect of Rhizophagus intraradices on growth of Salvia miltiorrhiza.
Ling-Ling ZHENG ; Mei-Lan CHEN ; Li-Ping KANG ; Ying-Li WANG ; Xiu-Teng ZHOU
China Journal of Chinese Materia Medica 2023;48(2):349-355
The study aimed to explore the effects of inoculation of Rhizophagus intraradices on the biomass, effective component content, and endogenous hormone content of Salvia miltiorrhiza through pot experiments. The number of leaves, plant height, dry weight of aboveground and underground parts, branch number, root number, root length, root diameter, and other biomass were mea-sured by weighing and counting methods. The content of salvianolic acid B, caffeic acid, rosmarinic acid, tanshinone Ⅰ, tanshinone Ⅱ_A, cryptotanshinone, and other effective components was determined by ultra-high performance liquid chromatography. The content of ABA and GA_3 was determined by triple quadrupole mass spectrometry. The correlations between biomass and effective components and between effective components and plant hormones ABA and GA_3 were analyzed. The results showed that R. intraradices significan-tly increased the aboveground dry weight, leaf number, and root number of S. miltiorrhiza by 0.24-0.65 times, respectively. The content of salvianolic acid B and rosmarinic acid in the aboveground part and the content of salvianolic acid B, caffeic acid, rosmarinic acid, tanshinone Ⅰ, and tanshinone Ⅱ_A in the underground part were significantly increased by 0.44-1.78 times, respectively. R. intraradices infection significantly increased the GA_3/ABA values of aboveground and underground parts by 3.82 and 76.47 times, respectively. The correlation analysis showed that caffeic acid, the effective component of the aboveground part, was significantly positively correlated with plant height, tanshinone Ⅱ_A, the effective component of the underground part, was significantly positively correlated with biomass root number, cryptotanshinone, and dry weight, while rosmarinic acid was significantly negatively correlated with dry weight. There were significant positive correlations between cryptotanshinone and ABA, tanshinone Ⅱ_A and ABA and GA_3, and caffeic acid and GA_3. In conclusion, R. intraradices can promote the accumulation of biomass and secondary metabolites of S. miltiorrhiza and regulate the balance between plant hormones ABA and GA_3, thereby promoting the growth of S. miltiorrhiza.
Salvia miltiorrhiza/chemistry*
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Plant Growth Regulators/analysis*
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Plant Roots/chemistry*
9.Application of in vivo brain imaging technology in the basic research of acupuncture-moxibustion for encephalopathy.
Xu WANG ; Zheng-Cui FAN ; Zhen ZHANG ; Bo-Kai WANG ; Fei-Xue WANG ; Teng HE ; Xiu-Min JIANG ; Jing-Lan YAN ; Yong-Jun CHEN
Chinese Acupuncture & Moxibustion 2023;43(12):1363-1369
Acupuncture-moxibustion is remarkably effective on encephalopathy, but its mechanism is unclear. With the continuous development of imaging technology, the in vivo brain imaging technology has been used increasingly in life science research and it also becomes a more effective tool for the basic research of acupuncture-moxibustion in treatment of encephalopathy. The paper summarizes the application of its technology in the basic research of acupuncture-moxibustion for encephalopathy and the characteristics of imaging, as well as the advantages and shortcomings. It is anticipated that the references may be provided for the basic research of acupuncture-moxibustion in treatment of encephalopathy and be conductive to the modernization of acupuncture-moxibustion.
Humans
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Moxibustion
;
Acupuncture Therapy
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Acupuncture
;
Brain Diseases/therapy*
;
Neuroimaging
10.A Prediction Model for Human Immunodeficiency Virus Infection and Mother-to-Child Transmission Based on the Expression Levels of Selenoprotein Genes.
Yan QI ; Rong-Qiang ZHANG ; Ling-Zhi ZHANG ; Jing LI ; Xue-Qin CHEN ; Guo-Tao FU ; Ling-Lan LI ; Xiu-Qin LI
Acta Academiae Medicinae Sinicae 2023;45(4):563-570
Objective To study the expression of selenoprotein genes in human immunodeficiency virus(HIV)infection and its mother-to-child transmission,so as to provide a theoretical basis for the prevention,diagnosis,and treatment of acquired immunodeficiency syndrome.Methods The dataset GSE4124 was downloaded from the Gene Expression Omnibus(GEO).Two groups of HIV-positive mothers(n=25)and HIV-negative mothers(n=20)were designed.HIV-positive mothers included a subset of transmitter(TR)mothers(n=11)and non-transmitter(NTR)mothers(n=14).Then,t-test was carried out to compare the expression levels of selenoprotein genes between the four groups(HIV-positive vs. HIV-negative,NTR vs. HIV-negative,TR vs. HIV-negative,TR vs. NTR).Univariate and multivariate Logistic regression were adopted to analyze the effects of differentially expressed genes on HIV infection and mother-to-child transmission.R software was used to establish a nomogram prediction model and evaluate the model performance.Results Compared with the HIV-negative group,HIV-positive,NTR,and TR groups had 8,5 and 8 down-regulated selenoprotein genes,respectively.Compared with the NTR group,the TR group had 4 down-regulated selenoprotein genes.Univariate Logistic regression analysis showed that abnormally high expression of GPX1,GPX3,GPX4,TXNRD1,TXNRD3,and SEPHS2 affected HIV infection and had no effect on mother-to-child transmission.The multivariate Logistic regression analysis showed that the abnormally high expression of TXNRD3(OR=0.032,95%CI=0.002-0.607,P=0.022)was positively correlated with HIV infection.As for the nomogram prediction model,the area under the receiver-operating characteristic curve for 1-year survival of HIV-infected patients was 0.840(95%CI=0.690-1.000),and that for 3-year survival of HIV-infected patients was 0.870(95%CI=0.730-1.000).Conclusions Multiple selenoprotein genes with down-regulated expression levels were involved in the regulation of HIV infection and mother-to-child transmission.The abnormal high expression of TXNRD3 was positively correlated with HIV infection.The findings provide new ideas for the prevention,diagnosis,and treatment of acquired immunodeficiency syndrome.
Humans
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Female
;
HIV Infections
;
Acquired Immunodeficiency Syndrome
;
Infectious Disease Transmission, Vertical
;
Nomograms
;
Selenoproteins/genetics*

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