A human memory inspired drug prioritization system

Author list: Yinchun Su Jiashuo Wu Xilong Zhao Jiyin Lai Yue Hao Bingyue Pan Ji Li Qingfei Kong Junwei Han

In this study, we present a novel computational framework for a drug prioritization system, designed to operate at both the population and individual levels. It advances precision medicine by identifying potential drug candidates for each disease through a human-like knowledge retrieval system. Inside the framework, we have integrated multiple sources of prior medical knowledge, such as clinical trial information, cooccurrence networks from literature citations, drug-target interactions, drug-indication importance, and disease-drug distances to labyrinth.

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iPRISM: Intelligent Predicting Response to cancer Immunotherapy through Systematic Modeling

Author list: Yinchun Su Qian Wang Siyuan Li Bingyue Pan Jiyin Lai Guangyou Wang Qingfei Kong Junwei Han

Journal: Advanced Intelligent Systems. (under review)

In this paper, we present iPRISM (Intelligent Predicting Response to cancer Immunotherapy through Systematic Modeling), a novel network-based model that integrates multi-omics data to predict immunotherapy outcomes. In this approach, iPRISM incorporates gene expression, biological functional network, TME characteristics, immune-related pathways, and clinical data to provide a comprehensive view of factors influencing immunotherapy efficacy. Using stepwise logistic regression, we identified key predictive features and validated iPRISM across multiple cohorts including melanoma, bladder cancer, non-small cell lung cancer, and stomach adenocarcinoma. iPRISM could be accessed at CRAN: https://CRAN.R-project.org/package=iPRISM.

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Impaired blood-brain barrier integrity due to elevated dopamine in myasthenia gravis model

Author list: Yue Hao Yinchun Su Yifan He Wenyuan Zhang Yang Liu Yu Guo Xingfan Chen Chunhan Liu Siyu Han Buyi Wang Yushuang Liu Wei Zhao Lili Mu Jinghua Wang Haisheng Peng Junwei Han Qingfei Kong

Journal: Journal of Neuroinflammation. 21

In this study, we observed increased and activated dopamine signaling in both the central nervous system and peripheral circulation of myasthenia gravis rats. Furthermore, changes in the expression of two key molecules, Claudin5 and CD31, in endothelial cells of the blood-brain barrier were also examined in these rats. We also confirmed that dopamine incubation reduced the expression of ZO1, Claudin5, and CD31 in endothelial cells by inhibiting the Wnt/β-catenin signaling pathway.

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DTSEA: A network-based drug target set enrichment analysis method for drug repurposing against COVID-19

Author list: Yinchun Su Jiashuo Wu Xiangmei Li Ji Li Xilong Zhao Bingyue Pan Junling Huang Qingfei Kong Junwei Han

Journal: Computers in Biology and Medicine. 159 (2023)

In this study, we developed a novel computational approach, named Drug Target Set Enrichment Analysis (DTSEA), to identify potent drugs against COVID-19. It was shown that the top three drugs predicted by DTSEA were significantly enriched in the immune response pathways indicating the potential for use as promising COVID-19 inhibitors. We then performed several validations to ensure the reliability and validity of DTSEA, including topological analysis, robustness analysis, and prediction consistency. The R package is available at CRAN (https://cran.r-project.org/package=DTSEA).

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Metformin inhibits the pathogenic functions of AChR-specific B and Th17 cells by targeting miR-146a

Author list: Yue Hao Wei Zhao Lulu Chang Xingfan Chen Chonghui Liu Yang Liu Lixuan Hou Yinchun Su Hao Xu Yu Guo Qixu Sun Lili Mu Jinghua Wang Hulun Li Junwei Han Qingfei Kong

Journal: Immunology Letters. 250

In this study, we found that miR-146a expressed differently in thymus, lymph nodes and spleen of rat model, and the expression of mR-146a in disease specific T and B cells was also in a cell dependent manner. Pathological character of disease specific Th17 and B cells could be reversed by the metformin alternation of miR-146a levels in these cells, indicating the potential therapeutic target role of miR-146a in myasthenia gravis.

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Resources of primary school students’ happiness: based on Wuhan sample

Author list: Xianhua Wu Jiaxin Zhao Yinchun Su Chengjin Zhou Qianwen Zhang Si Wang

Journal: Journal of Shijiazhuang University. 23 (3)

In this study, we found that the most common happiness experienced by primary school students comes from their hobbies, good marks in exams, interpersonal relationships (especially in parent-child and peer relationship), and sensory. We observed that first year students are happier than those in junior years. We also concluded that the subjective well-beings of primary school students is influenced by their own experience, family, and school environment.

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