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Metabonomics

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Cat. No. Product Name
  • HY-L030
    885 compounds

    The composition of endogenous metabolite compounds is affected by the upstream influence of the proteome and genome as well as environmental factors, lifestyle factors, medication, and underlying disease. Therefore, metabolites have been described as proximal reporters of disease because their abundances in biological specimens are often directly related to pathogenic mechanisms. In more recent years, metabolomics approach has been adopted or suggested to be used in various research areas including drug discovery, neurosciences, agriculture, food and nutrition, and environmental sciences.

    MCE owns a unique collection of 885 human endogenous metabolites, all of which are derived from human issues. This library is a powerful tool for metabonomics research and metabolism-related drug discovery.

  • HY-L211
    87 compounds

    Hormones are a class of biologically active substances secreted by endocrine gland cells, which are transported through the circulatory system to various parts of the body, and precisely act on specific target organs or cells, playing a crucial role in regulating the growth, development, metabolism, and reproduction of organisms. The mechanisms of hormone action are diverse and complex. Some hormones (such as corticosteroids, vitamin D, and thyroid hormones) can enter the cell interior and interact with receptors in the nucleus, thereby regulating gene expression and affecting cell function. Other hormones (such as growth hormone and thyrotropin-releasing hormone) bind directly to receptors on the cell surface, exerting their effects by regulating enzyme activity or influencing the state of ion channels. Additionally, hormones play a key role in the study of endocrine and metabolic diseases, and are closely related to the development of diseases such as diabetes and thyroid diseases.

    MCE has included 87 human hormone compounds, which is of great significance for the study of human metabolic pathways, and can also be used to build a metabonomics database.

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