1.Treatment Principles and Paradigm of Diabetic Microvascular Complications Responding Specifically to Traditional Chinese Medicine
Anzhu WANG ; Xing HANG ; Lili ZHANG ; Xiaorong ZHU ; Dantao PENG ; Ying FAN ; Min ZHANG ; Wenliang LYU ; Guoliang ZHANG ; Xiai WU ; Jia MI ; Jiaxing TIAN ; Wei ZHANG ; Han WANG ; Yuan XU ; .LI PINGPING ; Zhenyu WANG ; Ying ZHANG ; Dongmei SUN ; Yi HE ; Mei MO ; Xiaoxiao ZHANG ; Linhua ZHAO
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(5):272-279
To explore the advantages of traditional Chinese medicine (TCM) and integrative TCM-Western medicine approaches in the treatment of diabetic microvascular complications (DMC), refine key pathophysiological insights and treatment principles, and promote academic innovation and strategic research planning in the prevention and treatment of DMC. The 38th session of the Expert Salon on Diseases Responding Specifically to Traditional Chinese Medicine, hosted by the China Association of Chinese Medicine, was held in Beijing, 2024. Experts in TCM, Western medicine, and interdisciplinary fields convened to conduct a systematic discussion on the pathogenesis, diagnostic and treatment challenges, and mechanism research related to DMC, ultimately forming a consensus on key directions. Four major research recommendations were proposed. The first is addressing clinical bottlenecks in the prevention and control of DMC by optimizing TCM-based evidence evaluation systems. The second is refining TCM core pathogenesis across DMC stages and establishing corresponding "disease-pattern-time" framework. The third is innovating mechanism research strategies to facilitate a shift from holistic regulation to targeted intervention in TCM. The fourth is advancing interdisciplinary collaboration to enhance the role of TCM in new drug development, research prioritization, and guideline formulation. TCM and integrative approaches offer distinct advantages in managing DMC. With a focus on the diseases responding specifically to TCM, strengthening evidence-based support and mechanism interpretation and promoting the integration of clinical care and research innovation will provide strong momentum for the modernization of TCM and the advancement of national health strategies.
2.Exploring on Quality Evaluation Methods of Clinical Case Reports in Traditional Chinese Medicine Based on China Clinical Cases Library of Traditional Chinese Medicine
Kaige ZHANG ; Feng ZHANG ; Bo ZHOU ; Haimin CHEN ; Yong ZHU ; Changcheng HOU ; Liangzhen YOU ; Weijun HUANG ; Jie YANG ; Guoshuang ZHU ; Shukun GONG ; Jianwen HE ; Yang YE ; Yuqiu AN ; Chunquan SUN ; Qingjie YUAN ; Buman LI ; Xingzhong FENG ; Kegang CAO ; Hongcai SHANG ; Jihua GUO ; Xiaoxiao ZHANG ; Zhining TIAN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(1):271-276
As the core vehicle for preserving and transmitting traditional Chinese medicine(TCM) academic thought and clinical experience, the establishment of a robust quality evaluation system for TCM clinical case reports is a crucial component in the current standardization and modernization of TCM. Based on the practical experience of constructing the China Clinical Cases Library of Traditional Chinese Medicine by the China Association of Chinese Medicine, this study conducted a comprehensive analysis of critical challenges, including insufficient authenticity and unfocused evaluation criteria. It proposed a three-dimensional evaluation framework grounded in the structure-process-outcome logic, encompassing three dimensions of authenticity and standardization, characteristics and advantages, application and translational impact. This framework integrated 12 key evaluation indicators in a systematic manner. The model preserved the academic characteristics of TCM syndrome differentiation and treatment, while aligning with modern scientific research standards, achieving a balance between individualized TCM experience and standardized evaluation. Concurrently, this study provided theoretical foundations and methodological guidance for evaluating the quality of TCM clinical cases, contributing significantly to the inheritance of TCM knowledge, evidence-based practice, and the reform of talent evaluation mechanisms.
3.Animal Models of Functional Constipation: A Review
Youcheng HE ; Shijin LIN ; Fengru JIANG ; Sihan LI ; Xiao KE ; Wenrong WANG ; Jianye YUAN ; Minghan HUANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(11):196-209
Functional constipation (FC) is a clinically common functional bowel disorder characterized by a protracted course and associations with various chronic disorders and psychological abnormalities. Although not life-threatening, FC significantly impairs patients' quality of life. FC subtypes include slow-transit constipation (STC), defecatory disorder (DD), and normal-transit constipation (NTC). The pathological mechanisms underlying FC have not been fully elucidated, and overall clinical efficacy remains unsatisfactory. Animal models of FC serve as essential tools for the study of disease mechanisms and the development of novel therapeutics. This article systematically reviews the current state of research on the animal models of FC and identifies that rodents, particularly rats and mice, are the most commonly used species. Dogs and pigs are also employed in complex intervention studies due to their physiological similarities to humans, though their use is limited by housing challenges and ethical considerations. Induction methods vary across different FC subtypes. STC models are primarily established with chemical agents such as loperamide or compound diphenoxylate. DD modeling often involves low-fiber diets combined with methylene blue injection or rectal narrowing. NTC modeling mainly relies on low-fiber dietary interventions. In addition, disease-syndrome combination models based on traditional Chinese medicine (TCM) theory have been developed, encompassing excess patterns such as heat accumulation, cold accumulation, and Qi stagnation, as well as deficiency patterns including Qi deficiency, blood deficiency, Yin deficiency, and Yang deficiency. These are achieved through an approach of disease model + syndrome induction, enabling the integration of mechanisms from both Western and TCM perspectives. Models are evaluated from two aspects: disease and syndrome manifestations (e.g., colonic transit, secretory function, and TCM syndrome indicators such as mental state and body weight) and disease mechanisms (e.g., enteric nervous system, interstitial cells of Cajal, smooth muscle cells, gut microbiota, and metabolites). However, current research still faces challenges such as poor consistency in some models, non-specific interference in mechanism interpretation, insufficient studies on NTC, and lack of TCM tongue and pulse diagnosis in evaluation. Future efforts should focus on optimizing model stability and specificity to provide a more reliable experimental basis for investigating the pathological mechanisms of FC and developing therapeutic agents.
4.Species of sandflies and prevalence of Leishmania infections in sandflies in selected areas of northern and northwestern China
Yaqi HE ; Lei CUI ; Yi ZHANG ; Yuanyuan LI ; Limin YANG ; Yuan FANG ; Zhongqiu LI ; Zhengbin ZHOU
Chinese Journal of Schistosomiasis Control 2026;38(1):20-28
Objective To investigate the species of sandflies and the prevalence of Leishmania infections in sandflies from selected areas of northern and northwestern China, so as to provide insights into identification of leishmaniasis vectors and assessment of epidemiological trends of leishmaniasis in China. Methods Sandfly samples were collected from Mentougou District of Beijing Municipality, Xiangning County in Linfen City of Shanxi Province, Ejin Banner in Alxa League of Inner Mongolia Autonomous Region, and Payzawat County of Karamay District of Karamay City, Gaochang District of Turpan City in Xinjiang Uygur Autonomous Region from July 2023 to July 2024. Approximately 100 intact female sandfly samples were randomly selected from each site and the species of sandflies was identified according to morphological characteristics and molecular assays. Female sandflies originating from the same habitat were grouped into pools of 10 individuals. Leishmania infection was detected using polymerase chain reaction (PCR) assay targeting the internal transcribed spacer 1 (ITS-1) gene, and the prevalence of Leishmania infection was calculated in sandflies from different sampling sites using the minimum infection rate (MIR) method. In addition, positive amplicons were sequenced and subjected to phylogenetic analysis. Results A total of 6 155 sandflies were collected from different environments at sampling sites across the six aforementioned regions from July 2023 to July 2024. Phlebotomus chinensis (96.00%) was the dominant sandfly species in Mentougou District, Beijing Municipality, with a small proportion of Ph. sergenti (4.00%), and only Ph. chinensis was found in Xiangning County, Linfen City, Shanxi Province. Ph. wui was the only sandfly species detected in Ejin Banner, Alxa League, Inner Mongolia Autonomous Region, and Payzawat County, Kashgar City, Xinjiang Uygur Autonomous Region, and Ph. caucasicus (97.70%) was the dominant sandfly species in Karamay District, Karamay City, Xinjiang Uygur Autonomous Region, with a small proportion of Ph. wui (2.30%), while Ph. alexandri was the only species in Gaochang District, Turpan City, Xinjiang Uygur Autonomous Region. A total of 40, 60, 34, 18, 18, and 22 pools of sandfly samples were tested from Mentougou District in Beijing Municipality, Xiangning County in Linfen City of Shanxi Province, Ejin Banner in Alxa League of Inner Mongolia Autonomous Region, Payzawat County in Kashgar City, Karamay District in Karamay City, and Gaochang District in Turpan City of Xinjiang Uygur Autonomous Region, respectively. L. infantum was detected in Ph. chinensis samples from Mentougou District in Beijing Municipality, and Xiangning County of Linfen City in Shanxi Province, with MIR of 0.25% to 1.00%, and L. donovani was detected in Ph. wui from Ejin Banner in Alxa League of Inner Mongolia Autonomous Region, and Payzawat County in Kashgar City of Xinjiang Uygur Autonomous Region, with MIR of 0.56% to 0.88%; however, no Leishmania infection was detected in Ph. caucasicus from Karamay District in Karamay City or Ph. alexandri from Gaochang District in Turpan City of Xinjiang Uygur Autonomous Region. Phylogenetic analysis showed that the Leishmania ITS-1 gene sequences obtained from Mentougou District in Beijing Municipality and Xiangning County in Linfen City of Shanxi Province were clustered into the same clade with the reference sequences of L. infantum ITS-1 gene, while the Leishmania ITS-1 gene sequences obtained from Ejin Banner in Alxa League of Inner Mongolia Autonomous Region and Payzawat County in Kashgar City of Xinjiang Uygur Autonomous Region were clustered into the same clade with the reference sequences of L. donovani ITS-1 gene. Conclusions There are variations in sandfly species in selected areas of northern and northwestern China, and variations in the species of Leishmania infecting sandflies. Improved surveillance of sandfly vectors and targeted control strategies with adaptations to geographical features and leishmaniasis vectors are recommended.
5.COLEC12high tumor-associated macrophages orchestrate lenvatinib resistance and cancer stemness in hepatocellular carcinoma via paracrine NRG1-HER2/HER3 signaling
Jianxing ZHANG ; Liang QIAO ; Zongfeng WU ; Dinglan ZUO ; Shanshan HUANG ; Shaoru LIU ; Zhenkun HUANG ; Yi ZENG ; Yu LI ; Yichuan YUAN ; Chenwei WANG ; Wei HE ; Jiliang QIU ; Yunfei YUAN ; Yi NIU ; Binkui LI
Clinical and Molecular Hepatology 2026;32(2):772-786
Background/Aims:
Lenvatinib resistance remains a critical barrier in advanced hepatocellular carcinoma (HCC) therapy. However, the underlying mechanisms and strategies for reversing resistance remain incompletely understood.
Methods:
Integrated transcriptomics of lenvatinib-resistant patient tumors and an acquired-resistance murine model identified a novel macrophage subpopulation. Functional validation employed CRISPR-SAM screening, conditioned medium (CM) assays, subcutaneous/orthotopic xenografts, patient-derived organoids (PDOs), and patient-derived xenografts (PDXs). Mechanistic studies included ChIP-qPCR, co-immunoprecipitation, and pharmacologic targeting. Clinical relevance was assessed in a retrospective cohort.
Results:
Resistant HCC exhibited significant enrichment of a COLEC12high TAM subset , which correlated with poor survival and treatment response. These TAMs secreted neuregulin-1 (NRG1) , activating HER2/HER3-AKT signaling in tumor cells to drive cancer stemness and lenvatinib resistance. Mechanistically, in TAMs COLEC12 sequestered STAT1 in the cytoplasm, preventing its phosphorylation, and thereby derepressing STAT3-mediated NRG1 transcription. Depletion of NRG1 reversed the stemness phenotypes and resensitized tumors to lenvatinib both in vitro and in vivo. Clinically, high NRG1 expression predicted an inferior lenvatinib response and shorter survival. Crucially, the bispecific anti-HER2/HER3 antibody zenocutuzumab restored lenvatinib efficacy in PDOs, PDXs, and murine models.
Conclusions
Our work establishes the COLEC12high TAM/NRG1 axis as a master regulator of therapeutic resistance and identifies NRG1 as a predictive biomarker, providing a clinically actionable strategy to overcome lenvatinib resistance in HCC.
6.Prediction of Mismatch Repair Deficiency Status in Endometrial Cancer Using Multiparametric MRI Radiomics and Deep Learning: A Multimodal Model with Preliminary Validation
Liru WANG ; Shangying YANG ; Boyu CHEN ; Fuze CONG ; Xinran LI ; Xinyu LIU ; Huadan XUE ; Zhengyu JIN ; Yang XIANG ; Yonglan HE ; Yuan LI
Medical Journal of Peking Union Medical College Hospital 2026;17(4):976-984
To explore the clinical value of a multimodal predictive model based on multiparametric magnetic resonance imaging(MRI) radiomics combined with deep learning(DL) features for the preoperative noninvasive assessment of mismatch repair-deficient(MMRd) status in endometrial cancer(EC). Patients diagnosed with EC at Peking Union Medical College Hospital from January 2015 to December 2021 were retrospectively enrolled and randomly divided into a training set and a validation set at a ratio of 8∶2. Relevant clinical data were collected, and radiomics features and DL features were extracted from preoperative contrast-enhanced T1-weighted imaging(CE-T1WI), fat-suppressed T2-weighted imaging(fs-T2WI), and diffusion-weighted imaging(DWI) sequences. High-dimensional feature selection and dimensionality reduction were performed sequentially using the recursive feature elimination(RFE) algorithm to generate a radiomics score(Rad-score) and a deep learning score(DL-score), respectively. Multivariate logistic regression was utilized to construct a clinical model, a pure radiomics model, a clinical-radiomics model, and an integrated multimodal model incorporating clinical indicators, Rad-score, and DL-score. Model performance was assessed and compared using area under receiver operating characteristic curve(AUC) and DeLong test. A total of 509 patients were enrolled in this study, comprising 413 in the training cohort and 96 in the validation cohort. Independent predictors: Multivariate analysis indicated that preoperative fasting blood glucose level, histological grade, lymph node metastasis status, Rad-score, and DL-score were all independent significant predictors of MMRd status in EC patients. The integrated multimodal model demonstrated optimal predictive performance with an AUC of 0.699(95% CI: 0.635-0.763) in the training set, which was superior to the clinical model(AUC=0.629, 95% CI: 0.561-0.697) and the pure radiomics model(AUC=0.641, 95% CI: 0.575-0.706). In the validation set, the integrated model maintained good generalizability, achieving an AUC of 0.655(95% CI: 0.535-0.775), and its diagnostic efficacy was higher than that of the clinical model(AUC=0.578, 95% CI: 0.450-0.705) and the pure radiomics model(AUC=0.611, 95% CI: 0.488-0.734). According to the DeLong test, the incorporation of DL features resulted in the clinicalradiomicsdeep learning model performing better than both the clinicalonly model( The initially developed clinical-radiomics-deep learning model exhibits a certain predictive potential for the MMRd status in patients with EC. The inclusion of DL features may help complement the limitations of traditional evaluations, offering a preliminary radiological reference for preoperative non-invasive screening. However, given the current diagnostic performance, its overall accuracy and clinical generalizability warrant further validation in multi-center, large-sample external cohort studies.
7.Association between executive function and emotional and behavioral problems among first-grade elementary school students
Chinese Journal of School Health 2026;47(7):922-925
Objective:
To explore the association between executive function and emotional and behavioral problems in first-grade elementary school students, so as to provide a reference for promoting children s mental health.
Methods:
From March to May 2024, 423 first-grade elementary school students from 6 primary schools aged 6-7 were selected by using stratified cluster random sampling in Shanxi, Shanghai, Shandong, Guangxi, Xinjiang, and Jiangxi. Data were collected by using the Executive Function Assessment Scale and the Strengths and Difficulties Questionnaire. An independent samples t-test was used to analyze differences in executive function of different genders and differences in emotional and behavioral problems among first-grade school students with varying executive function levels; a linear regression model was employed to analyze the association between children s executive function and emotional and behavioral problems.
Results:
A total of 42 first-grade elementary school students (9.9%) were identified as having executive function deficits. Students in the executive function deficit group scored higher on internalizing behavior (7.50±0.52), externalizing behavior (11.26±0.52), and total difficulties (18.52± 0.93 ) were significantly higher than those of children without deficits (4.37±0.14, 6.69±0.17, 10.64±0.27) ( t =5.79, 8.50, 9.23, all P <0.05). Results of linear regression analysis showed that, after controlling for relevant covariates such as gender, age, family economic status, being an only child, and body mass index, the factor scores, dimensional scores, and total scores of executive function were all positively correlated with scores for externalizing problems, internalizing problems, and total difficulties ( β =0.07-0.32, all P <0.05).
Conclusions
Children s executive function is closely associated with emotional and behavioral problems, and those with poorer executive function exhibit more pronounced emotional and behavioral problems. Improving children s executive function may help promote their mental health.
8.Optimization of HBV detection in NDR samples from blood donors
Qiang ZHANG ; Yuan ZHOU ; Liuming ZHANG ; Weiyu YUAN ; Baifeng SHAN ; Zhiye LI ; Lixia DOU ; Aichun CHU ; Xuehua HE
Chinese Journal of Blood Transfusion 2026;39(9):1223-1230
Objective: To evaluate the effect of repeated testing combined with cross-validation using different principles of NAT systems on improving the detection rate of occult HBV infection (OBI) in HBsAg-negative/NDR samples. Methods: A total of 89 NDR samples from the Taiyuan Blood Center between August 2024 and May 2025 were enrolled. All samples were tested for HBsAg by ELISA and subjected to NAT screening using the Roche system (PCR method). For all HBsAgnegative, MPNAT+/IDNAT (NDR) samples, further crossvalidation was performed using repeat IDNAT with the Roche system and the Grifols system (TMAbased) dHBV discriminatory assay; in addition, HBV serological markers were detected, and the results were confirmed by realtime quantitative PCR and nested PCR with sequencing genotyping. The NAT yield/window period ratio model was used to estimate the residual risk of HBV transfusion for the Roche single system in actual use, and the theoretical residual risk was calculated by assuming that the Grifols system was applied to individual screening of all blood donors. Results: The detection rate of HBsAg-negative/NDR was 0.99‰ (89/90 115), consistent with the national average. Among the 89 NDR samples, 4 were confirmed as HBV DNA-positive by nested PCR (viral load 15 - 20 IU/mL), including 3 of genotype C1 and 1 of genotype B2. Serological analysis showed that the anti-HBc positivity rate in NDR samples was 24.7% (22/89); all 4 OBI samples were antiHBcpositive (18.2%) and none were antiHB-spositive. In the single-NAT system, the residual risk for first-time donors (RR_FD) was 48.98/10
person-years for the Roche system and 21.01/10
person-years for the Grifols system, both higher than the corresponding residual risk for repeat donors (RR_RD: 15.23/10
and 9.80/10
person-years, respectively), but the differences showed no statistical significance (P>0.05). Conclusion: Implementing repeated testing combined with cross-validation using different principles of NAT systems can effectively increase the detection rate of low-viral-load OBI and reduce the risk of missed detection.
9.Sutureless aortic versus transcatheter aortic valve implantation for aortic valve disease: A systematic review and meta-analysis of propensity score matching studies
Yang CHEN ; Zhili WEI ; Qiyuan BAI ; Xuhua LI ; Shidong LIU ; Yuyuan HE ; Yuan HU ; Bing SONG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(10):1670-1676
Objective To evaluate the clinical outcomes of sutureless aortic valve replacement (SU-AVR) and transcatheter aortic valve implantation (TAVI) for aortic valve disease. Methods We conducted a computer-based search of databases including CNKI, WanFang Database, VIP, Chinese Biology Medicine disc, PubMed, The Cochrane Library, Embase and Web of Science from the inception of the databases to March 2024. Two reviewers independently screened articles, extracted data and used the Newcastle-Ottawa Scale to evaluate the quality of the included studies. Meta-analysis was performed using Stata 18.0 software. Results The included 17 propensity score matching studies involved with 6 630 patients, including 3 319 patients in the SU-AVR group and 3 311 patients in the TAVI group. The SU-AVR group had lower mortality than the TAVI group at 1-year [RR=0.58, 95%CI(0.38, 0.87), P=0.009], 2-year [RR=0.61, 95%CI(0.43, 0.85), P=0.004] and 5-year [RR=0.63, 95%CI(0.50, 0.79), P<0.001]. The SU-AVR group had a significantly lower rate of new permanent pacemaker implantation (PPI) [RR=0.75, 95%CI(0.58, 0.98), P=0.037], moderate-to-severe paravalvular leak [RR=0.20, 95%CI(0.12, 0.32), P<0.001], myocardial infarction [RR=0.30, 95%CI (0.11, 0.80), P=0.017], more-than-mild residual aortic regurgitation [RR=0.29, 95%CI(0.17, 0.48), P<0.001]. In addition, the SU-AVR group had a higher postoperative mean aortic gradient [SMD=0.39, 95%CI (0.17, 0.62), P<0.001] than the TAVI group. Conclusion The early and mid-term clinical outcomes of SU-AVR are superior to TAVI.
10.Mechanism of Action of Kaixinsan in Ameliorating Alzheimer's Disease
Xiaoming HE ; Xiaotong WANG ; Dongyu MIN ; Xinxin WANG ; Meijia CHENG ; Yongming LIU ; Yetao JU ; Yali YANG ; Changbin YUAN ; Changyang YU ; Li ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(1):20-29
ObjectiveTo investigate the mechanism of action of Kaixinsan in the treatment of Alzheimer's disease (AD) based on network pharmacology, molecular docking, and animal experimental validation. MethodsThe Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP) and the Encyclopedia of Traditional Chinese Medicine(ETCM) databases were used to obtain the active ingredients and targets of Kaixinsan. GeneCards, Online Mendelian Inheritance in Man(OMIM), TTD, PharmGKB, and DrugBank databases were used to obtain the relevant targets of AD. The intersection (common targets) of the active ingredient targets of Kaixinsan and the relevant targets of AD was taken, and the network interaction analysis of the common targets was carried out in the STRING database to construct a protein-protein interaction(PPI) network. The CytoNCA plugin within Cytoscape was used to screen out the core targets, and the Metascape platform was used to perform gene ontology(GO) functional enrichment analysis and Kyoto encyclopedia of genes and genomes(KEGG) pathway enrichment analysis. The “drug-active ingredient-target” interaction network was constructed with the help of Cytoscape 3.8.2, and AutoDock Vina was used for molecular docking. Scopolamine (SCOP) was utilized for modeling and injected intraperitoneally once daily. Thirty-two male C57/BL6 mice were randomly divided into blank control (CON) group (0.9% NaCl, n=8), model (SCOP) group (3 mg·kg-1·d-1, n=8), positive control group (3 mg·kg-1·d-1 of SCOP+3 mg·kg-1·d-1 of Donepezil, n=8), and Kaixinsan group (3 mg·kg-1·d-1 of SCOP+6.5 g·kg-1·d-1 of Kaixinsan, n=8). Mice in each group were administered with 0.9% NaCl, Kaixinsan, or Donepezil by gavage twice a day for 14 days. Morris water maze experiment was used to observe the learning memory ability of mice. Hematoxylin-eosin (HE) staining method was used to observe the pathological changes in the CA1 area of the mouse hippocampus. Enzyme linked immunosorbent assay(ELISA) was used to determine the serum acetylcholine (ACh) and acetylcholinesterase (AChE) contents of mice. Western blot method was used to detect the protein expression levels of signal transducer and activator of transcription 3(STAT3) and nuclear transcription factor(NF)-κB p65 in the hippocampus of mice. ResultsA total of 73 active ingredients of Kaixinsan were obtained, and 578 potential targets (common targets) of Kaixinsan for the treatment of AD were screened out. Key active ingredients included kaempferol, gijugliflozin, etc.. Potential core targets were STAT3, NF-κB p65, et al. GO functional enrichment analysis obtained 3 124 biological functions, 254 cellular building blocks, and 461 molecular functions. KEGG pathway enrichment obtained 248 pathways, mainly involving cancer-related pathways, TRP pathway, cyclic adenosine monophosphate(cAMP) pathway, and NF-κB pathway. Molecular docking showed that the binding of the key active ingredients to the target targets was more stable. Morris water maze experiment indicated that Kaixinsan could improve the learning memory ability of SCOP-induced mice. HE staining and ELISA results showed that Kaixinsan had an ameliorating effect on central nerve injury in mice. Western blot test indicated that Kaixinsan had a down-regulating effect on the levels of NF-κB p65 phosphorylation and STAT3 phosphorylation in the hippocampal tissue of mice in the SCOP model. ConclusionKaixinsan can improve the cognitive impairment function in SCOP model mice and may reduce hippocampal neuronal damage and thus play a therapeutic role in the treatment of AD by regulating NF-κB p65, STAT3, and other targets involved in the NF-κB signaling pathway.


Result Analysis
Print
Save
E-mail