1.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.
2.Controllability Analysis of Structural Brain Networks in Young Smokers
Jing-Jing DING ; Fang DONG ; Hong-De WANG ; Kai YUAN ; Yong-Xin CHENG ; Juan WANG ; Yu-Xin MA ; Ting XUE ; Da-Hua YU
Progress in Biochemistry and Biophysics 2025;52(1):182-193
ObjectiveThe controllability changes of structural brain network were explored based on the control and brain network theory in young smokers, this may reveal that the controllability indicators can serve as a powerful factor to predict the sleep status in young smokers. MethodsFifty young smokers and 51 healthy controls from Inner Mongolia University of Science and Technology were enrolled. Diffusion tensor imaging (DTI) was used to construct structural brain network based on fractional anisotropy (FA) weight matrix. According to the control and brain network theory, the average controllability and the modal controllability were calculated. Two-sample t-test was used to compare the differences between the groups and Pearson correlation analysis to examine the correlation between significant average controllability and modal controllability with Fagerström Test of Nicotine Dependence (FTND) in young smokers. The nodes with the controllability score in the top 10% were selected as the super-controllers. Finally, we used BP neural network to predict the Pittsburgh Sleep Quality Index (PSQI) in young smokers. ResultsThe average controllability of dorsolateral superior frontal gyrus, supplementary motor area, lenticular nucleus putamen, and lenticular nucleus pallidum, and the modal controllability of orbital inferior frontal gyrus, supplementary motor area, gyrus rectus, and posterior cingulate gyrus in the young smokers’ group, were all significantly different from those of the healthy controls group (P<0.05). The average controllability of the right supplementary motor area (SMA.R) in the young smokers group was positively correlated with FTND (r=0.393 0, P=0.004 8), while modal controllability was negatively correlated with FTND (r=-0.330 1, P=0.019 2). ConclusionThe controllability of structural brain network in young smokers is abnormal. which may serve as an indicator to predict sleep condition. It may provide the imaging evidence for evaluating the cognitive function impairment in young smokers.
3.Effect Analysis of Different Interventions to Improve Neuroinflammation in The Treatment of Alzheimer’s Disease
Jiang-Hui SHAN ; Chao-Yang CHU ; Shi-Yu CHEN ; Zhi-Cheng LIN ; Yu-Yu ZHOU ; Tian-Yuan FANG ; Chu-Xia ZHANG ; Biao XIAO ; Kai XIE ; Qing-Juan WANG ; Zhi-Tao LIU ; Li-Ping LI
Progress in Biochemistry and Biophysics 2025;52(2):310-333
Alzheimer’s disease (AD) is a central neurodegenerative disease characterized by progressive cognitive decline and memory impairment in clinical. Currently, there are no effective treatments for AD. In recent years, a variety of therapeutic approaches from different perspectives have been explored to treat AD. Although the drug therapies targeted at the clearance of amyloid β-protein (Aβ) had made a breakthrough in clinical trials, there were associated with adverse events. Neuroinflammation plays a crucial role in the onset and progression of AD. Continuous neuroinflammatory was considered to be the third major pathological feature of AD, which could promote the formation of extracellular amyloid plaques and intracellular neurofibrillary tangles. At the same time, these toxic substances could accelerate the development of neuroinflammation, form a vicious cycle, and exacerbate disease progression. Reducing neuroinflammation could break the feedback loop pattern between neuroinflammation, Aβ plaque deposition and Tau tangles, which might be an effective therapeutic strategy for treating AD. Traditional Chinese herbs such as Polygonum multiflorum and Curcuma were utilized in the treatment of AD due to their ability to mitigate neuroinflammation. Non-steroidal anti-inflammatory drugs such as ibuprofen and indomethacin had been shown to reduce the level of inflammasomes in the body, and taking these drugs was associated with a low incidence of AD. Biosynthetic nanomaterials loaded with oxytocin were demonstrated to have the capability to anti-inflammatory and penetrate the blood-brain barrier effectively, and they played an anti-inflammatory role via sustained-releasing oxytocin in the brain. Transplantation of mesenchymal stem cells could reduce neuroinflammation and inhibit the activation of microglia. The secretion of mesenchymal stem cells could not only improve neuroinflammation, but also exert a multi-target comprehensive therapeutic effect, making it potentially more suitable for the treatment of AD. Enhancing the level of TREM2 in microglial cells using gene editing technologies, or application of TREM2 antibodies such as Ab-T1, hT2AB could improve microglial cell function and reduce the level of neuroinflammation, which might be a potential treatment for AD. Probiotic therapy, fecal flora transplantation, antibiotic therapy, and dietary intervention could reshape the composition of the gut microbiota and alleviate neuroinflammation through the gut-brain axis. However, the drugs of sodium oligomannose remain controversial. Both exercise intervention and electromagnetic intervention had the potential to attenuate neuroinflammation, thereby delaying AD process. This article focuses on the role of drug therapy, gene therapy, stem cell therapy, gut microbiota therapy, exercise intervention, and brain stimulation in improving neuroinflammation in recent years, aiming to provide a novel insight for the treatment of AD by intervening neuroinflammation in the future.
4.Translational Research of Electromagnetic Fields on Diseases Related With Bone Remodeling: Review and Prospects
Peng SHANG ; Jun-Yu LIU ; Sheng-Hang WANG ; Jian-Cheng YANG ; Zhe-Yuan ZHANG ; An-Lin LI ; Hao ZHANG ; Yu-Hong ZENG
Progress in Biochemistry and Biophysics 2025;52(2):439-455
Electromagnetic fields can regulate the fundamental biological processes involved in bone remodeling. As a non-invasive physical therapy, electromagnetic fields with specific parameters have demonstrated therapeutic effects on bone remodeling diseases, such as fractures and osteoporosis. Electromagnetic fields can be generated by the movement of charged particles or induced by varying currents. Based on whether the strength and direction of the electric field change over time, electromagnetic fields can be classified into static and time-varying fields. The treatment of bone remodeling diseases with static magnetic fields primarily focuses on fractures, often using magnetic splints to immobilize the fracture site while studying the effects of static magnetic fields on bone healing. However, there has been relatively little research on the prevention and treatment of osteoporosis using static magnetic fields. Pulsed electromagnetic fields, a type of time-varying field, have been widely used in clinical studies for treating fractures, osteoporosis, and non-union. However, current clinical applications are limited to low-frequency, and research on the relationship between frequency and biological effects remains insufficient. We believe that different types of electromagnetic fields acting on bone can induce various “secondary physical quantities”, such as magnetism, force, electricity, acoustics, and thermal energy, which can stimulate bone cells either individually or simultaneously. Bone cells possess specific electromagnetic properties, and in a static magnetic field, the presence of a magnetic field gradient can exert a certain magnetism on the bone tissue, leading to observable effects. In a time-varying magnetic field, the charged particles within the bone experience varying Lorentz forces, causing vibrations and generating acoustic effects. Additionally, as the frequency of the time-varying field increases, induced currents or potentials can be generated within the bone, leading to electrical effects. When the frequency and power exceed a certain threshold, electromagnetic energy can be converted into thermal energy, producing thermal effects. In summary, external electromagnetic fields with different characteristics can generate multiple physical quantities within biological tissues, such as magnetic, electric, mechanical, acoustic, and thermal effects. These physical quantities may also interact and couple with each other, stimulating the biological tissues in a combined or composite manner, thereby producing biological effects. This understanding is key to elucidating the electromagnetic mechanisms of how electromagnetic fields influence biological tissues. In the study of electromagnetic fields for bone remodeling diseases, attention should be paid to the biological effects of bone remodeling under different electromagnetic wave characteristics. This includes exploring innovative electromagnetic source technologies applicable to bone remodeling, identifying safe and effective electromagnetic field parameters, and combining basic research with technological invention to develop scientifically grounded, advanced key technologies for innovative electromagnetic treatment devices targeting bone remodeling diseases. In conclusion, electromagnetic fields and multiple physical factors have the potential to prevent and treat bone remodeling diseases, and have significant application prospects.
5.Cloning, subcellular localization and expression analysis of SmIAA7 gene from Salvia miltiorrhiza
Yu-ying HUANG ; Ying CHEN ; Bao-wei WANG ; Fan-yuan GUAN ; Yu-yan ZHENG ; Jing FAN ; Jin-ling WANG ; Xiu-hua HU ; Xiao-hui WANG
Acta Pharmaceutica Sinica 2025;60(2):514-525
The auxin/indole-3-acetic acid (Aux/IAA) gene family is an important regulator for plant growth hormone signaling, involved in plant growth, development, as well as response to environmental stresses. In the present study, we identified
6.Progress in the study of anti-inflammatory active components with anti-inflammatory effects and mechanisms in Caragana Fabr.
Yu-mei MA ; Ju-yuan LUO ; Tao CHEN ; Hong-mei LI ; Cheng SHEN ; Shuo WANG ; Zhi-bo SONG ; Yu-lin LI
Acta Pharmaceutica Sinica 2025;60(1):58-71
The plants of the genus
7.Evaluation on the effectiveness of comprehensive control of a bedbug infestation incident in Jiading District, Shanghai
Ping WANG ; Jie LI ; Ruhua YU ; Qiaoyan WANG ; Peisong ZHONG ; Hong YUAN ; Dongsheng RENG
Shanghai Journal of Preventive Medicine 2025;37(1):79-83
ObjectiveTo investigate the infestation of bedbugs in a staff dormitory in Jiading District, Shanghai, to explore the measures to dispose Cimex lectularius linnaeus, so as to provide a scientific basis for the prevention and control of bedbugs. MethodsThe infestation of bedbugs in the dormitory of the company was determined through field investigation, accompanied by scientific guidance under the comprehensive control measures and an effect evaluation of the control results. ResultsA total of 114 rooms distributed in 3 dormitory buildings were investigated, with an average infestation rate of 42.11%, of which building B has the highest infestation rate of 51.52%. Six bedbug specimens were collected by visual inspection in the room, and all of them were identified as Cimex lectularius linnaeus. After a series of comprehensive control measures including environmental cleanup, aerosol elimination, replacement of wooden beds with iron frame beds, and purchase of all-inclusive mattress, the bedbug infestation rate dropped to 5.26%. ConclusionComprehensive control can effectively prevent the breeding and spread of bedbugs. Dissemination and education effort should be strengthened in case of the occurrence of bedbug infestation, together with an implementation of long-term and continuous surveillance and monitoring.
8.Cognitive Disorders Awareness and Associated Risk Factors in Xizang Autonomous Region
Yu HAO ; Junshan WANG ; Ma ZHUO ; Quzhen SUOLANG ; Shiyong JI ; Yaxiong HU ; Zhijie DING ; Zhuoga CIDAN ; Jing YUAN ; Yuhua ZHAO
Medical Journal of Peking Union Medical College Hospital 2025;16(2):472-478
To investigate the awareness of cognitive impairment disorders among residents of the Xizang Autonomous Region and its influencing factors, thereby providing a basis for targeted prevention and treatment efforts. From April to December 2024, a questionnaire survey was conducted among permanent residents aged ≥18 years (residing in the Xizang Autonomous Region for 180 days or more). The survey was primarily conducted online, supplemented by QR code distribution during community medical outreach by healthcare workers. Demographic information and data on awareness of cognitive disorders were collected, and an ordered Logistic regression model was used to analyze influencing factors in the overall population and stratified by occupation. A total of 327 questionnaires were collected, with 14 excluded (13 for not meeting residency requirements and 1 for self-reported diagnosis of cognitive impairment), leaving 313 valid questionnaires. The average age of respondents was 42.0±11.9 years; 108 (34.5%) were male, and 205 (65.5%) were female. Most respondents were from Lhasa (78.6%, 246/313); 179 (57.2%) were healthcare workers, and 134 (42.8%) were non-healthcare workers. Regarding awareness of cognitive impairment disorders, 7.3% (23/313) were "unaware", 75.7% (237/313) were "partially aware", and 16.9% (53/313) were "well aware".Ordered Logistic regression analysis revealed that education level of high school or below ( Awareness of cognitive impairment disorders among residents of the Xizang Autonomous Region needs improvement. Educational level, occupation, and prior contact with cognitive impairment patients significantly influence disease awareness. Enhancing overall education levels and using vivid clinical case presentations in health education and public outreach are key strategies to improve public awareness of cognitive impairment disorders.
9.Visualization Analysis of Research Hotspots and Trends in Field of Tumor Therapy Based on CiteSpace and VOSviewer
Yuhang FANG ; Chuchu ZHANG ; Bailu SUI ; Yan WANG ; Runxi WANG ; Yu CHEN ; Xinhe YUAN ; Hongjun YANG ; Ying ZHANG
Cancer Research on Prevention and Treatment 2025;52(4):297-304
Objective To explore the research hotspots and development trends in the field of cancer treatment in the past decade. Methods The CNKI and Web of Science Core Collection databases were searched for Chinese and English articles related to cancer treatment published over the last 10 years. Bibliometric research methods were employed, including keyword cluster analysis of published literature. Results A total of 45 455 Chinese articles and 866 958 English articles were retrieved. Combining the visualization analysis results and the current research dilemma of tumor treatment revealed that the current research hotspots of tumor treatment domestically and internationally can primarily focus on four key areas. In the realm of targeted therapy, efforts are directed towards the discovery of new drug targets, overcoming resistance to targeted therapy, and the development of monoclonal antibodies and antibody–drug conjugates. In the field of immunotherapy, the emphasis lies in enhancing the response rate to immune checkpoint inhibitors, determining the mechanisms behind resistance to immunotherapy, and improving the safety of treatment. The research in traditional Chinese medicine (TCM) covers evidence-based evaluation studies on TCM treatment, the identification of populations that can gain the most benefit from TCM, and strategies for improving the quality of life. In the area of novel drug development, cutting-edge technologies, such as organoid-based screening for anticancer drugs, synthetic biology, and artificial intelligence, are under investigation. Conclusion New targeted drugs, immune efficacy improvement, multidisciplinary integration, nano-delivery, and TCM innovation are the key research directions in the field of tumor therapy in the future.
10.Effect of CCNA2 on Prognosis of Colon Cancer by Regulating Immune Microenvironment of Tumor Cells
Peng YANG ; Ziyi QIU ; Lingling WANG ; Yuan HU ; Zhengzhen CHEN ; Meizhen ZHONG ; Feiyue YU ; Rongyuan QIU
Cancer Research on Prevention and Treatment 2025;52(4):305-312
Objective To investigate the relationship between cyclin A2 (CCNA2) and the prognosis of colon cancer, and its possible mechanism from the perspective of immune infiltration. Methods We downloaded the transcriptome data of colon cancer patients from The Cancer Genome Atlas database. Clinicopathological feature analysis and survival analysis were performed based on the expression levels of CCNA2. A total of 75 specimens of colon cancer and normal tissues were collected, and the expression level of CCNA2 was analyzed using immunohistochemical methods. Multivariate analysis was conducted to explore its relationship with clinicopathological features. Gene Set Enrichment Analysis (GSEA) was used to assess the potential molecular functions of CCNA2 in colon cancer. CIBERSORT algorithm was applied to calculate the correlation between CCNA2 and immune-cell infiltration in colon cancer. Results Database and immunohistochemical analyses indicated that CCNA2 was expressed at a significantly higher level in colon cancer tissues than normal tissues (P<0.001). The overall survival, disease-specific survival, and progression-free interval were all longer in the group with high CCNA2 expression than the group with low expression (all P<0.05). In tumor tissues, the expression level of CCNA2 decreased with increased pathological and TNM stages (P<0.05). The expression level of CCNA2 in normal tissues was consistently lower than that in colon cancer tissues across all clinical stages (all P<0.001). GSEA suggested that Wnt/β-catenin, KRAS, and other signaling pathways were enriched when CCNA2 was lowly expressed. CIBERSORT analysis revealed an increase in the infiltration of immune cells such as regulatory T cells and macrophages M0 when CCNA2 expression was low. Conclusion CCNA2 is highly expressed in colon cancer and closely associated with grade of pathology and TNM stage. It may recruit regulatory T cells through the KRAS and Wnt/β-catenin pathways, thereby reducing immune-cell infiltration and promoting colon cancer progression, leading to poor prognosis.

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