2023
DOI: 10.1016/j.ijbiomac.2023.123930
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Integrating omics and network pharmacology reveals the anti-constipation role of chitosan with different molecular weights in constipated mice

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Cited by 7 publications
(3 citation statements)
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“…43 Additionally, the metabolomics findings demonstrated that XOS treatment of constipation was closely related to its regulation of alpha-linolenic acid metabolism, phenylalanine, tyrosine and tryptophan biosynthesis, and unsaturated fatty acid biosynthesis, all of which have been shown to improve constipation relief significantly. 44–46 These findings also indicated that several metabolic pathways were noticeably reversed in mice receiving XOS supplementation, highlighting the critical function of XOSs in the anti-constipation effect.…”
Section: Discussionmentioning
confidence: 75%
“…43 Additionally, the metabolomics findings demonstrated that XOS treatment of constipation was closely related to its regulation of alpha-linolenic acid metabolism, phenylalanine, tyrosine and tryptophan biosynthesis, and unsaturated fatty acid biosynthesis, all of which have been shown to improve constipation relief significantly. 44–46 These findings also indicated that several metabolic pathways were noticeably reversed in mice receiving XOS supplementation, highlighting the critical function of XOSs in the anti-constipation effect.…”
Section: Discussionmentioning
confidence: 75%
“…They also reported that chitosan oligosaccharides failed to improve these constipated mice with gut microbiota depletion. Liang et al [51] reported that low-Mw chitosan (1 kDa) showed better laxative effects on constipated mice than high-Mw chitosan in terms of GI transit and defecation frequency. It also significantly upregulated the levels of Bacteroides and Parabacteroides, while it downregulated the level of Desulfovibrio, as well as promoted the production of SCFAs.…”
Section: Discussionmentioning
confidence: 99%
“…[ 29 ] For protein-protein interaction (PPI) network analysis, enter the intersection gene set into the string database ( http://string-db.org/ ), limit the species to “ Homo sapiens ,” set the confidence value to > 0.4, then use Cytoscape software (version 3.9.1) to optimize the PPI network diagram. [ 30 , 31 ] Additionally, the top 10 nodes ranked by degree score were chosen as hub genes using the CytoHubba algorithm plug-in of the Cytoscape software. [ 32 , 33 ] Lastly, Cytoscape software (version 3.9.1) was used to create the “THSWD-drug-active compound-intersection gene-hub gene-AVNFH” network diagram to illustrate the disease-drug interaction.…”
Section: Methodsmentioning
confidence: 99%