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| Bioinformatics analysis of lymphangiogenesis in myocardial infarction and screening of traditional Chinese medicine for prevention treatment |
| Hits 487 Download times 311 Received:October 10, 2023 |
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| DOI
10.11656/j.issn.1673-9043.2024.02.04 |
| Key Words
myocardial infarction;lymphangiogenesis;bioinformatics;traditional Chinese medicine |
| Author Name | Affiliation | E-mail | | QI Yulin | Institute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | | | BAI Liding | Institute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | | | QIU Xianzhe | Institute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | | | SI Yumeng | State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | | | LI Lin | State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | | | WANG Yanyan | State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | | | CHEN Lu | State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | | | LI Yuhong | Institute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | liyuhong@tjutcm.edu.cn |
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| Abstract
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| [Objective] The key differential genes involved in lymphangiogenesis in myocardial infarction(MI) were selected by bioinformatics methods such as Lasso regression and SVM-RFE algorithm,while the potential traditional Chinese medicine(TCM) for the treatment of MI was predicted and analyzed based on the key genes. [Methods] Based on the GSE66360 dataset to screen differential genes and download the set of genes related to lymphangiogenesis from GeneCards database,the two take the intersection to construct the MI-lymphangiogenesis DEGs and analyze the correlation;the intersected genes were enriched for function and pathway by Metascape,GO,KEGG and GSEA. Based on Lasso regression and SVM-RFE algorithm,we screened the featured genes,and utilized GSE48060 for secondary validation of the genes to obtain the core genes,and screened the prevention and treatment of TCM. [Results] A total of 390 differential genes were obtained in GSE66360,and a total of 26 DEGs were obtained by taking the intersection with MI-lymphangiogenesis genes. Enrichment analyses showed that the core genes were related to the functions and signaling pathways of nitric oxide biosynthesis,lipopolysaccharide response,interleukin 17,nuclear factor KB,and tumor necrosis factor,etc. LASSO regression analyses,SVM-RFE algorithms,ROC curves plotting and secondary validation yielded a total of four core genes(ADM,IL1RN,IL1B,PFKFB3). Based on the four core genes,18 TCM such as Danshen and Huangqi were screened,whose four properties were mostly cold and warm,five flavors were mostly bitter,sweet and pungent,and the channel tropism were mainly focused on the lung,kidney and spleen meridians. [Conclusion] ADM,IL1RN,IL1B,and PFKFB3 may be potential genes for the treatment of MI based on lymphangiogenesis,and TCM such as Danshen and Huangqi may be a source of drugs for the treatment of MI based on potential genes. |
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