Analysis of the initial mechanism of ginseng in the treatment of acute myocardial infarction based on a time-sequenced gene ontology network.

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This study investigated the early molecular mechanisms of ginseng in treating acute myocardial infarction by analyzing a time-sequenced gene ontology network.

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The preprint studied the proposed “initial mechanism” of red ginseng in treating acute myocardial infarction by introducing a time-sequenced gene ontology interaction network analysis aimed at improving interpretation beyond existing network pharmacology approaches. The analysis indicated that, in ischaemic heart tissue, red ginseng’s early effects involve increasing expression of insulin-like growth factor and glucocorticoid receptor, and subsequent experiments in a myocardial infarction mouse model supported an antiapoptotic effect linked to induction of myocardial insulin-like growth factor. The paper explicitly notes it is a preprint and not peer reviewed, so findings may be preliminary, and its conclusions rely on the network-based pathway inference. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Acute myocardial infarction is the most common and aggressive type of human coronary disease. Red ginseng is a traditional Chinese medicine that is frequently used in formulae for the treatment of myocardial infarction. Although several network pharmacology methods have been developed to delineate the underlying pathophysiological pathways of traditional Chinese medicine in recent decades, very limited progress has been achieved in regard to interpretation because the veracity of these virtual prediction methods is largely limited due to inaccurate network models. Thus, we introduce a time-sequenced network analysis method based on a gene ontology interaction network to address the challenge of clarifying the precise pathway mechanism of a multicomponent complex biosystem. This time-sequenced gene ontology network indicates that the initial mechanism by which red ginseng treats myocardial infarction involves increasing the expression of insulin--like growth factor and glucocorticoid receptor in the ischaemic heart. Further experimental validation confirmed the antiapoptotic effect of ginseng through the induction of the expression of myocardial insulin--like growth factor and the side effects of increasing the expression of glucocorticoid receptors in a myocardial infarction mouse model. Therefore, we explored an effective time-sequence network analysis method that is feasible for elucidating the major pharmacological mechanisms of complex multidrug biosystems, such as Chinese medicine.
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This is a preprint and has not been peer reviewed. Data may be preliminary. Analysis of the initial mechanism of ginseng in the treatment of acute myocardial infarction based on a time-sequenced gene ontology network. Abstract Acute myocardial infarction is the most common and aggressive type of human coronary disease. Red ginseng is a traditional Chinese medicine that is frequently used in formulae for the treatment of myocardial infarction. Although several network pharmacology methods have been developed to delineate the underlying pathophysiological pathways of traditional Chinese medicine in recent decades, very limited progress has been achieved in regard to interpretation because the veracity of these virtual prediction methods is largely limited due to inaccurate network models. Thus, we introduce a time-sequenced network analysis method based on a gene ontology interaction network to address the challenge of clarifying the precise pathway mechanism of a multicomponent complex biosystem. This time-sequenced gene ontology network indicates that the initial mechanism by which red ginseng treats myocardial infarction involves increasing the expression of insulin--like growth factor and glucocorticoid receptor in the ischaemic heart. Further experimental validation confirmed the antiapoptotic effect of ginseng through the induction of the expression of myocardial insulin--like growth factor and the side effects of increasing the expression of glucocorticoid receptors in a myocardial infarction mouse model. Therefore, we explored an effective time-sequence network analysis method that is feasible for elucidating the major pharmacological mechanisms of complex multidrug biosystems, such as Chinese medicine. Information & Authors Information Version history Copyright This work is licensed under a Non Exclusive No Reuse License. Authors Metrics & Citations Metrics Article Usage 192views 79downloads Citations Download citation Siyao Hu, Xiaole Liu, Bin Yu, et al. Analysis of the initial mechanism of ginseng in the treatment of acute myocardial infarction based on a time-sequenced gene ontology network.. Authorea. 26 May 2025. DOI: https://doi.org/10.22541/au.174824120.05897810/v1 DOI: https://doi.org/10.22541/au.174824120.05897810/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu.

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