Exploring the potential mechanisms of Tongmai Jiangtang capsules in treating diabetic nephropathy through multi-dimensional data

列线图 免疫系统 肾病 疾病 聚类分析 计算生物学 医学 生物 生物信息学 免疫学 糖尿病 内科学 内分泌学 人工智能 计算机科学
作者
Yi Liu,Xin Cui,Xuming Zhang,Zhuoting Xie,Weili Wang,Jun-Yu Xi,Yan-Ming Xie
出处
期刊:Frontiers in Endocrinology [Frontiers Media SA]
卷期号:14
标识
DOI:10.3389/fendo.2023.1172226
摘要

Background Diabetic nephropathy (DN) is a prevalent and debilitating disease that represents the leading cause of chronic kidney disease which imposes public health challenges Tongmai Jiangtang capsule (TMJT) is commonly used for the treatment of DN, albeit its underlying mechanisms of action are still elusive. Methods This study retrieved databases to identify the components and collect the targets of TMJT and DN. Target networks were constructed to screen the core components and targets. Samples from the GEO database were utilized to perform analyses of targets and immune cells and obtain significantly differentially expressed core genes (SDECGs). We also selected a machine learning model to screen the feature genes and construct a nomogram. Furthermore, molecular docking, another GEO dataset, and Mendelian randomization (MR) were utilized for preliminary validation. We subsequently clustered the samples based on SDECG expression and consensus clustering and performed analyses between the clusters. Finally, we scored the SDECG score and analyzed the differences between clusters. Results This study identified 13 SDECGs between DN and normal groups which positively regulated immune cells. We also identified five feature genes ( CD40LG , EP300 , IL1B , GAPDH , and EGF ) which were used to construct a nomogram. MR analysis indicated a causal link between elevated IL1B levels and an increased risk of DN. Clustering analysis divided DN samples into four groups, among which, C1 and CI were mainly highly expressed and most immune cells were up-regulated. C2 and CII were the opposite. Finally, we found significant differences in SDECG scores between C1 and C2, CI and CII, respectively. Conclusion TMJT may alleviate DN via core components (e.g. Denudatin B, hancinol, hirudinoidine A) targeting SDECGs (e.g. SRC, EGF, GAPDH), with the involvement of feature genes and modulation of immune and inflammation-related pathways. These findings have potential implications for clinical practice and future investigations.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
何何何完成签到,获得积分10
1秒前
Andorchid发布了新的文献求助10
1秒前
kaka完成签到,获得积分10
1秒前
打打应助FOODHUA采纳,获得10
1秒前
2秒前
lilliu完成签到,获得积分10
2秒前
周周周发布了新的文献求助10
4秒前
YKB发布了新的文献求助30
5秒前
Jessica发布了新的文献求助60
5秒前
宜醉宜游宜睡应助鸿鹄采纳,获得10
5秒前
7秒前
静谧180完成签到 ,获得积分10
8秒前
敏感的靳应助烤豆腐采纳,获得10
9秒前
敏感的靳应助烤豆腐采纳,获得10
9秒前
敏感的靳应助烤豆腐采纳,获得10
9秒前
朴素的紫安完成签到 ,获得积分10
9秒前
9秒前
领导范儿应助明朗采纳,获得10
9秒前
9秒前
LM发布了新的文献求助20
10秒前
清脆黑米发布了新的文献求助10
11秒前
11秒前
卡牌大师完成签到,获得积分10
12秒前
14秒前
14秒前
王山完成签到,获得积分10
14秒前
FOODHUA发布了新的文献求助10
14秒前
17秒前
宓广缘完成签到,获得积分10
17秒前
wwwww发布了新的文献求助10
19秒前
后陡门的夏完成签到,获得积分20
19秒前
黄123完成签到,获得积分10
19秒前
20秒前
完美世界应助LM采纳,获得10
20秒前
在水一方应助kyra采纳,获得10
21秒前
24秒前
李健的小迷弟应助Wei_eas采纳,获得10
25秒前
25秒前
明朗完成签到,获得积分10
28秒前
高分求助中
Evolution 2024
Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms 2000
How to Create Beauty: De Lairesse on the Theory and Practice of Making Art 1000
Gerard de Lairesse : an artist between stage and studio 670
大平正芳: 「戦後保守」とは何か 550
Contributo alla conoscenza del bifenile e dei suoi derivati. Nota XV. Passaggio dal sistema bifenilico a quello fluorenico 500
Multiscale Thermo-Hydro-Mechanics of Frozen Soil: Numerical Frameworks and Constitutive Models 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 2996607
求助须知:如何正确求助?哪些是违规求助? 2657010
关于积分的说明 7191607
捐赠科研通 2292494
什么是DOI,文献DOI怎么找? 1215350
科研通“疑难数据库(出版商)”最低求助积分说明 593153
版权声明 592795