A Review of the Mechanism of Bailing for Diabetic Nephropathy Based on ChatGPT and Network Pharmacology

Author:

Xi WeiweiORCID,Zhao XumingORCID,Wang BoyaORCID,Zhu YichenORCID,Li HuaORCID

Abstract

Diabetes nephropathy (DN) is increasingly recognized as a critical complication in individuals with diabetes and a significant contributor to end‐stage renal disease (ESRD). Bailing capsules, which contain fermented cordyceps mycelium, are commonly utilized in treating various kidney disorders, including DN in clinical practice. This review aims to comprehensively detail the pharmacologically active components of Bailing, its mechanisms of action, and its clinical usage. By employing network pharmacology, we delve into the possible pathways Bailing impacts DN treatment. Current studies suggest that Bailing’s efficacy in DN primarily involves mechanisms related to lipid and atherosclerosis, cancer pathways, and small‐cell lung cancer. Key active ingredients in Bailing that contribute to its therapeutic effects include arachidonic acid, linalyl acetate, β‐sitosterol, and CLR. Furthermore, for literature selection in this review, we integrated GPT‐4 with bias analysis coprocessing. This evaluation provides a foundational understanding and direction for future research into the use of Bailing as a novel treatment for DN.

Publisher

Wiley

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