Evidence map›Paper›PMID 36639568›Full record

ArticleScientific reports2023

The identification of metabolites from gut microbiota in NAFLD via network pharmacology.

Ki-Kwang Oh, Haripriya Gupta, Byeong Hyun Min, Raja Ganesan, Satya Priya Sharma, Sung Min Won, Jin Ju Jeong, Su Been Lee, Min Gi Cha, Goo Hyun Kwon and 8 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.7field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 22 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 1 institution in 1 country.

Ki-Kwang OhCenter for Microbiome, Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon, 24252, South Korea.
Haripriya GuptaCenter for Microbiome, Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon, 24252, South Korea.
Byeong Hyun MinCenter for Microbiome, Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon, 24252, South Korea.
Raja GanesanCenter for Microbiome, Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon, 24252, South Korea.
Satya Priya SharmaCenter for Microbiome, Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon, 24252, South Korea.
Sung Min WonCenter for Microbiome, Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon, 24252, South Korea.
Jin Ju JeongCenter for Microbiome, Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon, 24252, South Korea.
Su Been LeeCenter for Microbiome, Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon, 24252, South Korea.
Min Gi ChaCenter for Microbiome, Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon, 24252, South Korea.
Goo Hyun KwonCenter for Microbiome, Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon, 24252, South Korea.
Min Kyo JeongCenter for Microbiome, Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon, 24252, South Korea.
Ji Ye HyunCenter for Microbiome, Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon, 24252, South Korea.
Jung A EomCenter for Microbiome, Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon, 24252, South Korea.
Hee Jin ParkCenter for Microbiome, Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon, 24252, South Korea.
Sang Jun YoonCenter for Microbiome, Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon, 24252, South Korea.
Mi Ran ChoiCenter for Microbiome, Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon, 24252, South Korea.
Dong Joon KimCenter for Microbiome, Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon, 24252, South Korea.
Ki Tae SukCenter for Microbiome, Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon, 24252, South Korea. ktsuk@hallym.ac.kr.
Hallym University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The metabolites of gut microbiota show favorable therapeutic effects on nonalcoholic fatty liver disease (NAFLD), but the active metabolites and mechanisms against NAFLD have not been documented. The aim of the study was to investigate the active metabolites and mechanisms of gut microbiota against NAFLD by network pharmacology. We obtained a total of 208 metabolites from the gutMgene database and retrieved 1256 targets from similarity ensemble approach (SEA) and 947 targets from the SwissTargetPrediction (STP) database. In the SEA and STP databases, we identified 668 overlapping targets and obtained 237 targets for NAFLD. Thirty-eight targets were identified out of those 237 and 223 targets retrieved from the gutMgene database, and were considered the final NAFLD targets of metabolites from the microbiome. The results of molecular docking tests suggest that, of the 38 targets, mitogen-activated protein kinase 8-compound K and glycogen synthase kinase-3 beta-myricetin complexes might inhibit the Wnt signaling pathway. The microbiota-signaling pathways-targets-metabolites network analysis reveals that Firmicutes, Fusobacteria, the Toll-like receptor signaling pathway, mitogen-activated protein kinase 1, and phenylacetylglutamine are notable components of NAFLD and therefore to understanding its processes and possible therapeutic approaches. The key components and potential mechanisms of metabolites from gut microbiota against NAFLD were explored utilizing network pharmacology analyses. This study provides scientific evidence to support the therapeutic efficacy of metabolites for NAFLD and suggests holistic insights on which to base further research.

Indexed as

Gastrointestinal MicrobiomeNon-alcoholic Fatty Liver DiseaseHumansMolecular Docking SimulationNetwork PharmacologyWnt Signaling Pathway

Identifiers

PMID36639568
PMCPMC9839744
OpenAlexW4316037225

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.