دورية أكاديمية

A Network Pharmacology and Molecular-Docking-Based Approach to Identify the Probable Targets of Short-Chain Fatty-Acid-Producing Microbial Metabolites against Kidney Cancer and Inflammation

التفاصيل البيبلوغرافية
العنوان: A Network Pharmacology and Molecular-Docking-Based Approach to Identify the Probable Targets of Short-Chain Fatty-Acid-Producing Microbial Metabolites against Kidney Cancer and Inflammation
المؤلفون: Md. Rezaul Karim, Md. Niaj Morshed, Safia Iqbal, Shahnawaz Mohammad, Ramya Mathiyalagan, Deok Chun Yang, Yeon Ju Kim, Joon Hyun Song, Dong Uk Yang
المصدر: Biomolecules, Vol 13, Iss 11, p 1678 (2023)
بيانات النشر: MDPI AG, 2023.
سنة النشر: 2023
المجموعة: LCC:Microbiology
مصطلحات موضوعية: network pharmacology, gut microbial metabolites, SCFA-producing microbes, kidney cancer, kidney inflammation, molecular docking, Microbiology, QR1-502
الوصف: (1) Background: A large and diverse microbial population exists in the human intestinal tract, which supports gut homeostasis and the health of the host. Short-chain fatty acid (SCFA)-secreting microbes also generate several metabolites with favorable regulatory effects on various malignancies and immunological inflammations. The involvement of intestinal SCFAs in kidney diseases, such as various kidney malignancies and inflammations, has emerged as a fascinating area of study in recent years. However, the mechanisms of SCFAs and other metabolites produced by SCFA-producing bacteria against kidney cancer and inflammation have not yet been investigated. (2) Methods: We considered 177 different SCFA-producing microbial species and 114 metabolites from the gutMgene database. Further, we used different online-based database platforms to predict 1890 gene targets associated with metabolites. Moreover, DisGeNET, OMIM, and Genecard databases were used to consider 13,104 disease-related gene targets. We used a Venn diagram and various protein−protein interactions (PPIs), KEGG pathways, and GO analyses for the functional analysis of gene targets. Moreover, the subnetwork of protein−protein interactions (through string and cytoscape platforms) was used to select the top 20% of gene targets through degree centrality, betweenness centrality, and closeness centrality. To screen the possible candidate compounds, we performed an analysis of the ADMET (absorption, distribution, metabolism, excretion, and toxicity) properties of metabolites and then found the best binding affinity using molecular docking simulation. (3) Results: Finally, we found the key gene targets that interact with suitable compounds and function against kidney cancer and inflammation, such as MTOR (with glycocholic acid), PIK3CA (with 11-methoxycurvularin, glycocholic acid, and isoquercitrin), IL6 (with isoquercitrin), PTGS2 (with isoquercitrin), and IGF1R (with 2-amino-1-methyl-6-phenylimidazo[4,5-b] pyridine, isoquercitrin), showed a lower binding affinity. (4) Conclusions: This study provides evidence to support the positive effects of SCFA-producing microbial metabolites that function against kidney cancer and inflammation and makes integrative research proposals that may be used to guide future studies.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2218-273X
العلاقة: https://www.mdpi.com/2218-273X/13/11/1678Test; https://doaj.org/toc/2218-273XTest
DOI: 10.3390/biom13111678
الوصول الحر: https://doaj.org/article/e74e06ad7deb4c79961a4cf0ee3a3bb7Test
رقم الانضمام: edsdoj.74e06ad7deb4c79961a4cf0ee3a3bb7
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:2218273X
DOI:10.3390/biom13111678