1.Exploring the Current Status of Research on the Mechanism of Acupuncture Intervention in Alzheimer's Disease in Animal Experiments Using Visual Analysis Methods
Jiheng ZUO ; Xuan YANG ; Donghua LI ; Zidong WANG ; Zhigang LI ; Huiling TIAN
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(2):346-354
Objective In this paper,CiteSpace(V6.3.R1)was used to sort out and summarize the experimental study on the mechanism and development trend of acupuncture intervention in Alzheimer's disease(AD),so as to provide basis and suggestions for subsequent research.Methods Relevant literatures on the mechanism of acupuncture intervention in AD were retrieved from CNKI database from March 1997 to March 2024.CiteSpace(V6.3.R1)software was used to visually display keywords,draw corresponding maps,and discuss the hot spots of acupuncture intervention mechanism in AD.Results After screening,a total of 397 articles were included in this study.The mechanism of acupuncture intervention in AD mainly focuses on the regulation of synaptic plasticity,regulation of neurotransmitter release,regulation of neuroinflammation,regulation of apoptosis,influence on mitochondrial autophagy,anti-oxidative stress and so on.Conclusion Acupuncture intervention in AD has developed rapidly,involving Notch1/Hes signaling pathway,Shh signaling pathway,NF-κB signaling pathway,PI3K/Akt signaling pathway and other signaling pathways.The research heat of TCM acupuncture intervention in AD continues to rise,and various research teams have harvested rich research results,diversified research hotspots,and in-depth exploration of acupuncture treatment of AD has rich clinical value.
2.Exploring the Current Status of Research on the Mechanism of Acupuncture Intervention in Alzheimer's Disease in Animal Experiments Using Visual Analysis Methods
Jiheng ZUO ; Xuan YANG ; Donghua LI ; Zidong WANG ; Zhigang LI ; Huiling TIAN
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(2):346-354
Objective In this paper,CiteSpace(V6.3.R1)was used to sort out and summarize the experimental study on the mechanism and development trend of acupuncture intervention in Alzheimer's disease(AD),so as to provide basis and suggestions for subsequent research.Methods Relevant literatures on the mechanism of acupuncture intervention in AD were retrieved from CNKI database from March 1997 to March 2024.CiteSpace(V6.3.R1)software was used to visually display keywords,draw corresponding maps,and discuss the hot spots of acupuncture intervention mechanism in AD.Results After screening,a total of 397 articles were included in this study.The mechanism of acupuncture intervention in AD mainly focuses on the regulation of synaptic plasticity,regulation of neurotransmitter release,regulation of neuroinflammation,regulation of apoptosis,influence on mitochondrial autophagy,anti-oxidative stress and so on.Conclusion Acupuncture intervention in AD has developed rapidly,involving Notch1/Hes signaling pathway,Shh signaling pathway,NF-κB signaling pathway,PI3K/Akt signaling pathway and other signaling pathways.The research heat of TCM acupuncture intervention in AD continues to rise,and various research teams have harvested rich research results,diversified research hotspots,and in-depth exploration of acupuncture treatment of AD has rich clinical value.
3.Identification of Risk Pathways and Functional Modules for Coronary Artery Disease Based on Genome-wide SNP Data
Zhao XIANG ; Luan YI-ZHAO ; Zuo XIAOYU ; Chen YE-DA ; Qin JIHENG ; Jin LV ; Tan YIQING ; Lin MEIHUA ; Zhang NAIZUN ; Liang YAN ; Rao SHAO-QI
Genomics, Proteomics & Bioinformatics 2016;14(6):349-357
Coronary artery disease (CAD) is a complex human disease, involving multiple genes and their nonlinear interactions, which often act in a modular fashion. Genome-wide single nucleotide polymorphism (SNP) profiling provides an effective technique to unravel these underlying genetic interplays or their functional involvements for CAD. This study aimed to identify the susceptible pathways and modules for CAD based on SNP omics. First, the Wellcome Trust Case Control Consortium (WTCCC) SNP datasets of CAD and control samples were used to assess the joint effect of multiple genetic variants at the pathway level, using logistic kernel machine regression model. Then, an expanded genetic network was constructed by integrating statistical gene–gene interactions involved in these susceptible pathways with their protein–protein interaction (PPI) knowledge. Finally, risk functional modules were identified by decomposition of the network. Of 276 KEGG pathways analyzed, 6 pathways were found to have a significant effect on CAD. Other than glycerolipid metabolism, glycosaminoglycan biosynthesis, and cardiac muscle contraction pathways, three pathways related to other diseases were also revealed, including Alzheimer’s disease, non-alcoholic fatty liver disease, and Huntington’s disease. A genetic epistatic network of 95 genes was further constructed using the abovementioned integrative approach. Of 10 functional modules derived from the network, 6 have been annotated to phospholipase C activity and cell adhesion molecule binding, which also have known functional involvement in Alzheimer’s disease. These findings indicate an overlap of the underlying molecular mechanisms between CAD and Alzheimer’s disease, thus providing new insights into the molecular basis for CAD and its molecular relationships with other diseases.

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