The effect of G0S2 on insulin sensitivity: A proteomic analysis in a G0S2-overexpressed high-fat diet mouse model

Wu, Dongming; Zhang, Zhenyuan; Sun, Wenxiu; Yan, Yong; Jing, Mengzhe; Ma, Shizhan

doi:10.3389/fendo.2023.1130350

Cited by 2 publications

(1 citation statement)

References 79 publications

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“…Six-week-old male C57BL/6J mice were purchased from Beijing Charles River Co., Ltd. These mice were housed in a specific pathogen-free (SPF) animal facility, and maintained under a 12-h light/dark cycle with stable temperature and humidity ( Wu et al, 2023 ). All animal experimental procedures were performed based on the guidelines for the Administration of Laboratory Animals issued by the Ministry of Science and Technology of the People’s Republic of China.…”

Section: Methodsmentioning

confidence: 99%

Bioinformatics study of the potential therapeutic effects of ginsenoside Rh3 in reversing insulin resistance

Wang,

Wu,

Wang

et al. 2024

Front. Mol. Biosci.

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BackgroundIn recent years, the incidence of insulin resistance is increasing, and it can cause a variety of Metabolic syndrome. Ginsenosides have been clinically proven to improve fat metabolism and reduce insulin resistance, but their components and mechanism of action are still unclear.ObjectiveGinsenoside, a bioactive compound derived from ginseng, exhibits significant potential in treating obesity, diabetes, and metabolic disorders. Despite evidence supporting its efficacy in ameliorating insulin resistance (IR) in obesity, the specific bioactive components and underlying mechanisms remain obscure. In this study, we endeavored to elucidate the potential molecular targets and pathways influenced by ginsenoside Rh3 (GRh3) to ameliorate IR in liver tissue. We employed a comprehensive approach that integrates system pharmacology and bioinformatics analysis.Materials and methodsOur methodology involved the identification of candidate targets for GRh3 and the profiling of differentially expressed genes (DEGs) related to IR in individuals with insulin resistance. The coalescence of candidate targets and DEGs facilitated the construction of a “GRh3-targets-disease” network for each tissue type, ultimately yielding 38 shared target genes. Subsequently, we conducted pathway enrichment analysis, established protein-protein interaction (PPI) networks, and identified hub targets among the GRh3 targets and IR-related DEGs. Additionally, we conducted animal experiments to corroborate the role of these hub targets in the context of GRh3.ResultsOur investigation identified a total of 38 overlapping targets as potential candidates. Notably, our analysis revealed crucial hub targets such as EGFR, SRC, ESR1, MAPK1, and CASP3, alongside implicated signaling pathways, including those related to insulin resistance, the FoxO signaling pathway, the PPAR signaling pathway, and the IL-17 signaling pathway. This study establishes a robust foundation for the mechanisms underlying GRh3’s efficacy in mitigating IR. Furthermore, these results suggest that GRh3 may serve as a representative compound within the ginsenoside family.ConclusionThis study elucidates the potential molecular targets and associated pathways through which GRh3 ameliorates IR, showcasing its multifaceted nature, spanning multiple targets, pathways, and mechanisms. These findings establish a robust foundation for subsequent experimental inquiries and clinical applications.

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Section: Methodsmentioning

confidence: 99%

Bioinformatics study of the potential therapeutic effects of ginsenoside Rh3 in reversing insulin resistance

Wang,

Wu,

Wang

et al. 2024

Front. Mol. Biosci.

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Network analysis to trace the common key gene (s) involved in antihyperglycemic effects mediated through co-supplementation of Vitamin D and Metformin

Tyagi,

Mani

2023

Preprint

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Metformin, an antihyperglycemic drug has been known for centuries as the first treatment for diabetes mellitus. Likewise, vitamin D is also recognized for its role in boosting insulin action and improving insulin sensitivity. There is also evidence supporting their combined effect as an antihyperglycemic agent. However, key genes associated with their combined antihyperglycemic effect have not been explored yet. Thus, our in-silico study aims to explore the key genes associated with metformin and VDR signaling that could aid in managing hyperglycemia as well as explore other health benefits. We have used a systems biology approach for the construction of the metformin-VDR network and it was found to be hierarchical scale-free in nature. The statistical parameters including node degree distribution, and clustering coefficient, were calculated. Out of the several prominent hubs, which served as the network's backbone and contained several critical regulators as well as potential target genes, we were able to identify a few key regulators. Modules with comparable functions were also identified. We found the top 14 key regulators namely G0S2, DDIT4, IL6, PRKAA1, EGFR, mTOR, PPARGC1A, CYBA, CYBB, NCF1, NCF2, NCF4, NOX1 and NOX3. While reviewing the function of these key genes and their association with vitamin D and/or metformin, most of these genes were analyzed to be involved in regulating glucose levels as well as alleviating hyperglycemia-induced inflammation and oxidative stress. Based on the prediction from our study, these key regulatory genes may be proposed to be involved in the combined antihyperglycemic effects of vitamin D and metformin. These genes mayfurther be explored as a probable therapeutic target for the management of diabetes as well as accompanying disorders.

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The effect of G0S2 on insulin sensitivity: A proteomic analysis in a G0S2-overexpressed high-fat diet mouse model

Cited by 2 publications

References 79 publications

Bioinformatics study of the potential therapeutic effects of ginsenoside Rh3 in reversing insulin resistance

Bioinformatics study of the potential therapeutic effects of ginsenoside Rh3 in reversing insulin resistance

Network analysis to trace the common key gene (s) involved in antihyperglycemic effects mediated through co-supplementation of Vitamin D and Metformin

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