Wei Jiang

Dr. Wei Jiang


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2020 in Journal of Clinical Neuroscience
Verified
Journal Article
Closed access
WJWei Jiang
Wei Jiang
CZChi Zhang
Chi Zhang
JWJian-Xiong Wang
Jian-Xiong Wang
FSFu-Hua Sun
Fu-Hua Sun
YXYu-Jie Xie
Yu-Jie Xie
SYShi-Bin Yang
Shi-Bin Yang

15 September 2023 in Medicine
Verified
Journal Article
Open access
LCLulu Chen
Lulu Chen
AYAishen Bd Yang
Aishen Bd Yang
YLYang-An Li
Yang-An Li
XLXin Bd Liu
Xin Bd Liu
WJWei Jiang
Wei Jiang
KHKehui Hu
Kehui Hu
Objective: This study aimed to use network pharmacology to predict the therapeutic mechanism of oroxyli semen (OS) on triple-negative breast cancer (TNBC) and validate it through in vitro experiments. Methods: The active ingredients and target proteins of OS were retrieved from the Traditional Chinese Medicine Systems Pharmacology database, and the TNBC-related target genes were obtained from the GeneCards database. The overlapping genes were used to construct a protein–protein interaction (PPI) network via the String database. Furthermore, we employed an online bioinformatics analysis platform (https://www.bioinformatics.com.cn/) to perform gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses to evaluate biological processes, molecular functions, and cellular components and generate simulated signal pathways. Additionally, molecular docking was used to evaluate the binding ability of small molecule drugs and signaling pathway targets. CCK8 assay was conducted to detect the effect of small molecule drugs on TNBC cell viability, and Western Blot was utilized to verify the expression of AKT, VEGF, and hypoxia-inducible factor 1-alpha (HIF-1α) proteins. Results: Fifteen active ingredients and 166 therapeutic targets of OS were obtained from the Traditional Chinese Medicine Systems Pharmacology database. The Venn diagram revealed that 163 targets were related to TNBC. The protein–protein interaction network analysis identified AKT1, IL-6, JUN, vascular endothelial growth factor A (VEGFA), CASP3, and HIF-1α as potential core targets through which OS may treat TNBC. Furthermore, the molecular docking results indicated that the active ingredient chryseriol in OS had good binding ability with VEGFA, and HIF-1α. CCK8 assay results indicated that chryseriol inhibited the viability of MDA-MB-231 and BT-20 cells. Western Blot demonstrated that chryseriol intervention led to a decrease in VEGFA, and HIF-1α protein expression compared with the control group (P < .05), increased the cleaved PARP. Conclusion: OS may exert its therapeutic effects on TNBC through multiple cellular signaling pathways. Chryseriol, the active component of OS, can enhance the apoptosis of TNBC cells by targeting VEGFA/HIF-1α pathway. This study provided new insights into the potential therapeutic mechanism of OS for TNBC and may aid in the development of novel therapeutic approaches for TNBC.

21 June 2024 in Medicine
Verified
Journal Article
Open access
WJWei Jiang
Wei Jiang
WJWei Jiang
Wei Jiang
JHJuan Ma Huang
Juan Ma Huang
LZLi Ma Zhong
Li Ma Zhong
Along with global aging, osteoarthritis (OA) appears to have a high incidence and disability rate, which seriously affects the quality of life of patients, making age a major risk factor. However, the pathology of OA is under-researched, and there is no obvious and effective treatment. Research has demonstrated the importance of aging, inflammation, and immunology in the onset and course of OA. This study aims to anticipate therapeutic drugs based on critical genes associated with OA and to elucidate the roles of genes and possible biomarkers associated with inflammation, immunology, and cellular senescence in OA. The OA gene expression matrix was first obtained from the Gene Expression Omnibus database. Screening for OA significant differentially expressed genes by bioinformatics identification. Specific biological processes and related signaling pathways of the differential genes were enriched. Then elucidate the status of immune cell involvement in OA based on immune infiltration analysis. Finally predict therapeutic agents based on pivotal genes. A total of 198 differentially expressed genes were identified in OA, and TP53, EGFR, TGFB1, LEP, CD4, MAPK8, SCARB1, ADIPOQ, JAK2, and SERPINE1 were further identified as important hub genes. The enrichment results showed that the development of arthritis was mainly related to immune cell differentiation, amino acid metabolism and cellular senescence process. The validation of immune infiltration results indicated that NK_cells, CD4_Tcells, Macrophages, Monocytic_lineage, Dendritic_cells, Basophils, CD8+_naive_T-cells may play an important role in the immune process of OA. Key Drug Prediction of Hub Genes found that Halicin, Ruxolitinib, Tofacitinib, Clenoliximab, Baricitinib may be a key drug or component in the treatment of OA.

10 February 2026 in Eurasian Journal of Medicine and Oncology
Verified
Journal Article
Open access
PDF file
LJLiangzhu Jiang
Liangzhu Jiang
SQShiwen Qiu
Shiwen Qiu
LZLinping Zhao
Linping Zhao
JSJinxiao Song
Jinxiao Song
HLHouhe Liu
Houhe Liu
WJWei Jiang
Wei Jiang
Choroidal neovascularization (CNV) is a severe ocular pathological condition characterized by abnormal vascular proliferation in the choroid layer, penetrating Bruch’s membrane, and entering the subretinal space. It usually occurs in the macular area and may lead to irreversible vision impairment or even blindness. The formation mechanism of CNV is complex and involves the abnormal activation of multiple molecular signaling pathways. Among them, the overexpression of vascular endothelial growth factor (VEGF) and fibroblast growth factor is the primary driving factor. At present, the traditional treatment strategies for CNV mainly include anti-VEGF drug injection and photodynamic therapy (PDT), but they have limitations, including the need for frequent injections, poor patient response, and potential side effects. To address these issues, researchers have proposed using nanomaterials in CNV treatment. As novel drug delivery systems, nanomaterials offer advantages such as targeted delivery, intelligent response, and precise release in the treatment of CNV, significantly improving drug bioavailability, reducing systemic toxicity, and enhancing therapeutic effects. This article systematically analyzes the application and mechanism of nanomaterials in CNV treatment, including their use in drug therapy and PDT, by screening studies on the application of nanomaterials in CNV treatment in the past decade using “nanomaterials” and “CNV” as keywords in the database, providing a reference for the development of new nanomaterials.