Bioinformatic Analysis of Ping-Wei-San Decoction for Pulmonary Malignancy Based on UPLC-QE-Orbitrap-MS Detection

Author:

Li Ding1,Ma Xiao-Qing2,Yang Xue2,Li Xiao-yuan13ORCID,Yao Ru-yong4

Affiliation:

1. Department of Traditional Chinese Medicine, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China

2. Marine Biomedical Research Institute of Qingdao, Qingdao, Shandong, China.

3. College of Materials Science and Engineering, Qingdao University, Qingdao, Shandong, China

4. Medical Research Center, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China

Abstract

Background The traditional Chinese medicine prescription Ping-Wei-San decoction (PWS) has been used historically in East Asian countries. This study aimed to investigate the ingredients of the decoction and explore its potential role in the adjuvant treatment of pulmonary malignancies. Objectives The primary objective was to analyze the ingredients of PWS and understand its potential in the treatment of pulmonary malignancy. Methods Medical records of 143 394 patients using PWS over a decade were collected from the Affiliated Hospital of Qingdao University. UPLC-QE-Orbitrap-MS detected 13 chemical components, including 12 known components. Lung adenocarcinoma data were obtained from the TCGA-LUAD dataset, and differential genes were screened using R studio. The EVENN website and the STRING database were used to identify drug action and disease targets. Setting The study was conducted at the Affiliated Hospital of Qingdao University. Participants The study included 3147 patients with “pulmonary malignancies.” Intervention PWS was used as an adjuvant treatment. Results Network analysis revealed 10 core targets (CCNA2, CHEK1, TOP2A, CDK1, CCNB1, CCNB2, AURKA, AURKB, KIF11, and MELK) for the treatment of lung adenocarcinoma and associated pathways. Conclusion PWS may offer multifunctional efficacy in the treatment of pulmonary malignancies based on constituent analysis. Further research and clinical trials are needed to explore its potential.

Publisher

SAGE Publications

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3