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Elucidation of Prebiotics, Probiotics, Postbiotics, and Target from Gut Microbiota to Alleviate Obesity via Network Pharmacology Study.
Oh, Ki-Kwang; Gupta, Haripriya; Min, Byeong-Hyun; Ganesan, Raja; Sharma, Satya Priya; Won, Sung-Min; Jeong, Jin-Ju; Lee, Su-Been; Cha, Min-Gi; Kwon, Goo-Hyun; Jeong, Min-Kyo; Hyun, Ji-Ye; Eom, Jung-A; Park, Hee-Jin; Yoon, Sang-Jun; Choi, Mi-Ran; Kim, Dong Joon; Suk, Ki-Tae.
Afiliação
  • Oh KK; Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon 24252, Korea.
  • Gupta H; Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon 24252, Korea.
  • Min BH; Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon 24252, Korea.
  • Ganesan R; Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon 24252, Korea.
  • Sharma SP; Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon 24252, Korea.
  • Won SM; Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon 24252, Korea.
  • Jeong JJ; Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon 24252, Korea.
  • Lee SB; Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon 24252, Korea.
  • Cha MG; Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon 24252, Korea.
  • Kwon GH; Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon 24252, Korea.
  • Jeong MK; Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon 24252, Korea.
  • Hyun JY; Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon 24252, Korea.
  • Eom JA; Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon 24252, Korea.
  • Park HJ; Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon 24252, Korea.
  • Yoon SJ; Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon 24252, Korea.
  • Choi MR; Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon 24252, Korea.
  • Kim DJ; Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon 24252, Korea.
  • Suk KT; Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon 24252, Korea.
Cells ; 11(18)2022 09 16.
Article em En | MEDLINE | ID: mdl-36139478
ABSTRACT
The metabolites produced by the gut microbiota have been reported as crucial agents against obesity; however, their key targets have not been revealed completely in complex microbiome systems. Hence, the aim of this study was to decipher promising prebiotics, probiotics, postbiotics, and more importantly, key target(s) via a network pharmacology approach. First, we retrieved the metabolites related to gut microbes from the gutMGene database. Then, we performed a meta-analysis to identify metabolite-related targets via the similarity ensemble approach (SEA) and SwissTargetPrediction (STP), and obesity-related targets were identified by DisGeNET and OMIM databases. After selecting the overlapping targets, we adopted topological analysis to identify core targets against obesity. Furthermore, we employed the integrated networks to microbiota-substrate-metabolite-target (MSMT) via R Package. Finally, we performed a molecular docking test (MDT) to verify the binding affinity between metabolite(s) and target(s) with the Autodock 1.5.6 tool. Based on holistic viewpoints, we performed a filtering step to discover the core targets through topological analysis. Then, we implemented protein-protein interaction (PPI) networks with 342 overlapping target, another subnetwork was constructed with the top 30% degree centrality (DC), and the final core networks were obtained after screening the top 30% betweenness centrality (BC). The final core targets were IL6, AKT1, and ALB. We showed that the three core targets interacted with three other components via the MSMT network in alleviating obesity, i.e., four microbiota, two substrates, and six metabolites. The MDT confirmed that equol (postbiotics) converted from isoflavone (prebiotics) via Lactobacillus paracasei JS1 (probiotics) can bind the most stably on IL6 (target) compared with the other four metabolites (3-indolepropionic acid, trimethylamine oxide, butyrate, and acetate). In this study, we demonstrated that the promising substate (prebiotics), microbe (probiotics), metabolite (postbiotics), and target are suitable for obsesity treatment, providing a microbiome basis for further research.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Probióticos / Prebióticos / Microbioma Gastrointestinal / Obesidade Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Probióticos / Prebióticos / Microbioma Gastrointestinal / Obesidade Idioma: En Ano de publicação: 2022 Tipo de documento: Article