Evidence map›Paper›PMID 38509819›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2024

Potential of Gut Microbial Metabolites in Treating Osteoporosis and Obesity: A Network Pharmacology and Bioinformatics Approach.

Md Niaj Morshed, Md Rezaul Karim, Reshmi Akter, Safia Iqbal, Ramya Mathiyalagan, Jong Chan Ahn, Deok Chun Yang, Joong Hyun Song, Se Chan Kang, Dong Uk Yang

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Gut Microbiota-Mediated Mechanisms of Traditional Chinese Medicine in Obesity Management.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026
    Review
  2. Article
  3. Review
  4. Frontiers in microbiology · 2025
    Review
  5. Article
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

10 authors at 2 institutions in 1 country.

Md Niaj MorshedDepartment of Biopharmaceutical Biotechnology, College of Life Science, Kyung Hee University, Yongin, Gyeonggi, South Korea.ORCID 0000-0002-6646-6394
Md Rezaul KarimDepartment of Biopharmaceutical Biotechnology, College of Life Science, Kyung Hee University, Yongin, Gyeonggi, South Korea.
Reshmi AkterDepartment of Biopharmaceutical Biotechnology, College of Life Science, Kyung Hee University, Yongin, Gyeonggi, South Korea.
Safia IqbalDepartment of Biopharmaceutical Biotechnology, College of Life Science, Kyung Hee University, Yongin, Gyeonggi, South Korea.
Ramya MathiyalaganDepartment of Biopharmaceutical Biotechnology, College of Life Science, Kyung Hee University, Yongin, Gyeonggi, South Korea.
Jong Chan AhnDepartment of Biopharmaceutical Biotechnology, College of Life Science, Kyung Hee University, Yongin, Gyeonggi, South Korea.
Deok Chun YangDepartment of Biopharmaceutical Biotechnology, College of Life Science, Kyung Hee University, Yongin, Gyeonggi, South Korea.
Joong Hyun SongDepartment of Veterinary International Medicine, College of Veterinary Medicine, Chungnam National University, Daejeon, South Korea.
Se Chan KangDepartment of Biopharmaceutical Biotechnology, College of Life Science, Kyung Hee University, Yongin, Gyeonggi, South Korea.
Dong Uk YangDepartment of Biopharmaceutical Biotechnology, College of Life Science, Kyung Hee University, Yongin, Gyeonggi, South Korea.
Kyung Hee University · KRChungnam National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND The gut microbial metabolites demonstrate significant activity against metabolic diseases including osteoporosis (OP) and obesity, but active compounds, targets, and mechanisms have not been fully identified. Hence, the current investigation explored the mechanisms of active metabolites and targets against OP and obesity by using network pharmacology approaches. MATERIAL AND METHODS The gutMGene database was used to collect gut microbial targets-associated metabolites; DisGeNET and OMIM databases were used to identify targets relevant to OP and obesity. A total of 63 and 89 overlapped targets were considered the final OP and obesity targets after creating a Venn diagram of metabolites-related targets and disease-related targets. Furthermore, the top 20% of degrees, betweenness, and closeness were used to form the sub-network of protein-protein interaction of these targets. Finally, the biotransformation-increased receptors and biological mechanisms were identified and validated using ADMET properties analysis, molecular docking, and molecular dynamic simulation. RESULTS GO, KEGG pathway analysis, and protein-protein interactions were performed to establish metabolites and target networks. According to the enrichment analysis, OP and obesity are highly linked to the lipid and atherosclerosis pathways. Moreover, ADMET analysis depicts that the major metabolites have drug-likeliness activity and no or less toxicity. Following that, the molecular docking studies showed that compound K and TP53 target have a remarkable negative affinity (-8.0 kcal/mol) among all metabolites and targets for both diseases. Finally, the conformity of compound K against the targeted protein TP53 was validated by 250ns MD simulation. CONCLUSIONS Therefore, we summarized that compound K can regulate TP53 and could be developed as a therapy option for OP and obesity.

Indexed as

Drugs, Chinese HerbalGastrointestinal MicrobiomeGinsenosidesOsteoporosisComputational BiologyHumansMolecular Docking SimulationMolecular Dynamics SimulationNetwork PharmacologyObesityDrugs, Chinese Herbalginsenoside compound KGinsenosides

Identifiers

PMID38509819
PMCPMC10938863
OpenAlexW4391107885

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.