1.Pharmacovigilance Signal Mining and Analysis of Ustekinumab versus Upadacitinib for Inflammatory Bowel Disease Based on the FAERS Database
Dong XIE ; Yu WANG ; Haojia LIN ; Qiuyue TU ; Hetong ZHANG ; Huizhen LI ; Qinghua YI ; Zhengxiang LI ; Hengjie YUAN ; Xiaocang CAO
Medical Journal of Peking Union Medical College Hospital 2025;16(6):1376-1383
To analyze potential adverse drug events(ADEs) associated with ustekinumab and upadacitinib in the treatment of inflammatory bowel disease(IBD) based on an international authoritative database, thereby providing evidence for clinical medication safety. Data were extracted from the Food and Drug Administration Adverse Event Reporting System(FAERS) database using OpenVigil 2.1. ADE reports were collected for ustekinumab(from Q3 2017 to Q1 2025) and upadacitinib(from Q3 2019 to Q1 2025), where each drug was identified as the primary suspected medication for IBD. Signal detection and statistical analysis were performed using the reporting odds ratio(ROR) and proportional reporting ratio(PRR) methods. A total of 3648 ADE reports for ustekinumab and 3812 for upadacitinib, with each as the primary suspected drug in IBD treatment, were retrieved. Using the ROR-PRR combined detection method, relevant ADE signals were identified. High-frequency ADEs associated with ustekinumab included hypersensitivity reactions, various infections, and brain fog, while those associated with upadacitinib included acne, flatulence, and herpes zoster. System organ class(SOC) analysis of positive signals indicated that both drugs commonly caused ADEs in categories such as Infections and infestations, Gastrointestinal disorders, Nervous system disorders, Skin and subcutaneous tissue disorders, and Respiratory, thoracic, and mediastinal disorders. Among these, Infections and infestations were the most frequent SOC, involving preferred terms such as Escherichia sepsis and Pneumococcal pneumonia. Ustekinumab and upadacitinib exhibit distinct safety profiles in the treatment of IBD. In addition to known ADEs described in the prescribing information, ustekinumab requires close monitoring for hypersensitivity reactions, opportunistic infections, and potential neurological risks. For upadacitinib, attention should be paid to risks of acne, herpes zoster, hypercholesterolemia, and thrombotic events. These findings provide important safety information to support individualized clinical decision-making in IBD management.
2.Protein-based Bioinformatics Analysis of Cervical Cancer Related Genes
Lingjing CHENG ; Hetong LI ; Shengxiao ZHANG ; Hongqi LIU ; Qi YU ; Chaoyue ZHENG ; Shuang FENG ; Teng KONG ; Xiangfei SUN ; Peifeng HE ; Xiaoping LYU
Journal of Medical Informatics 2023;44(12):47-54
Purpose/Significance To explore the characteristics and clinical significance of differentially expressed genes closely re-lated to HPV E6/E7 by using bioinformatics.Method/Process The cervical tissue and clinical information of cervical cancer in TCGA and GTEx of UCSC are used as the training set.The expression profile chip GSE63514 related to cervical cancer in GEO is used as the validation set.Firstly,the limma package of R software is used to screen DEGs of tumor and normal samples,and Venn map of genes re-lated to E6/E7 protein in MigDB is made.Survival analysis is performed by survival kit and verified by ROC and protein expression lev-els.Secondly,key genes are obtained by copy number variation and methylation correlation.Finally,the specific co-expression network is constructed and enrichment analysis and immune infiltration analysis are performed.Result/Conclusion There are 101 differentially expressed genes related to HPV E6/E7 protein,and three genes are found to have significance after screening,namely E2F1,MCM4 and PCNA.At the same time,it is found that the genes in the specific coexpression network are significantly enriched in the DNA replication and chromosome organization pathways.Immune correlation analysis shows that key genes are significantly associated with CD4 T cells,B cells and neutrophils.DNA replication,chromosome organization,etc.,are the molecular mechanisms and key genes significantly related to the development of cervical squamous cell carcinoma and HPV E6/E7 encoded proteins.
3.Infrared Imaging Meibomian Gland Segmentation System Based on Deep Learning.
Hetong ZHANG ; Kang YAO ; Shangshang DING ; Ronghao PEI ; Weiwei FU
Chinese Journal of Medical Instrumentation 2022;46(4):377-381
In order to better assist doctors in the diagnosis of dry eye and improve the ability of ophthalmologists to recognize the condition of meibomian gland, a meibomian gland image segmentation and enhancement method based on Mobile-U-Net network was proposed. Firstly, Mobile-Net is used as the coding part of U-Net for down sampling, and then features are extracted and fused with the features in decoder to guide image segmentation. Secondly, the segmentation of meibomian gland region is enhanced to assist doctors to judge the condition. Thirdly, a large number of meibomian gland images are collected to train and verify the semantic segmentation network, and the clarity evaluation index is used to verify the meibomian gland enhancement effect. The experimental results show that the similarity coefficient of the proposed method is stable at 92.71%, and the image clarity index is better than the similar dry eye detection instruments on the market.
Deep Learning
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Diagnostic Imaging
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Dry Eye Syndromes
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Humans
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Image Processing, Computer-Assisted
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Meibomian Glands/diagnostic imaging*
Result Analysis
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