Cardiovascular adverse effects caused by high-intensity exercise (HIE) have become a public health problem of widespread concern. As a phytochemical with potential therapeutic effects, the therapeutic effect and metabolic regulation mechanism of myricetin have rarely been studied. In this study, ...
Background: Triple-negative breast cancer (TNBC) urgently needs effective therapies due to limited targeted options and unfavorable outcomes. We investigated Trichosanthes kirilowii Maxim formula granules (TKM) using integrated network pharmacology, metabolomics, and molecular pharmacology to cla...
Objective: The leaves of Malus hupehensis (MH) are a medicinal and edible traditional Chinese medicine (TCM) with good liver protection, although its underlying mechanism remains unclear. In this study, a network pharmacology-integrated multi-omics method was used to explore the hepatoprotective ...
Background: Clinacanthus nutans (C. nutans), a Southeast Asian medicinal herb, has ethnopharmacological potential against nasopharyngeal carcinoma (NPC). This study aimed to elucidate the bioactive compounds, potential molecular targets, and regulatory pathways responsible for the anticancer acti...
Large-scale metabolite annotation is a challenge in liquid chromatogram-mass spectrometry (LC-MS)-based untargeted metabolomics. Here, we develop a metabolic reaction network (MRN)-based recursive algorithm (MetDNA) that expands metabolite annotations without the need for a comprehensive standard...
Large-scale metabolite annotation is a challenge in liquid chromatogram-mass spectrometry (LC-MS)-based untargeted metabolomics. Here, we develop a metabolic reaction network (MRN)-based recursive algorithm (MetDNA) that expands metabolite annotations without the need for a comprehensive standard...
Large-scale metabolite annotation is a challenge in liquid chromatogram-mass spectrometry (LC-MS)-based untargeted metabolomics. Here, we develop a metabolic reaction network (MRN)-based recursive algorithm (MetDNA) that expands metabolite annotations without the need for a comprehensive standard...
Large-scale metabolite annotation is a challenge in liquid chromatogram-mass spectrometry (LC-MS)-based untargeted metabolomics. Here, we develop a metabolic reaction network (MRN)-based recursive algorithm (MetDNA) that expands metabolite annotations without the need for a comprehensive standard...
Disruption of organelle interactions due to metabolic stress is a crucial factor in the pathological processes of many degenerative diseases. Current treatments usually focus on individual organelles while ignoring the role of organelle interactions in cell damage caused by cascade reactions. The...