Background and objective: Asthma is a global problem and complex disease suited for metabolomic profiling. This study explored the candidate biomarkers specific to paediatric asthma and provided insights into asthmatic pathophysiology. Methods: Children (aged 6-11 years) meeting the criteria for healthy control (n = 29), uncontrolled asthma (n = 37) or controlled asthma (n = 43) were enrolled. Gas chromatography-mass spectrometry was performed on urine samples of the patients to explore the different types of metabolite profile in paediatric asthma. Additionally, we employed a comprehensive strategy to elucidate the relationship between significant metabolites and asthma-related genes. Results: We identified 51 differential metabolites mainly related to dysfunctional amino acid, carbohydrate and purine metabolism. A combination of eight candidate metabolites, including uric acid, stearic acid, threitol, acetylgalactosamine, heptadecanoic acid, aspartic acid, xanthosine and hypoxanthine (adjusted P < 0.05 and fold-change >1.5 or <0.67), showed excellent discriminatory performance for the presence of asthma and the differentiation of poor-controlled or well-controlled asthma, and area under the curve values were >0.97 across groups. Enrichment analysis based on these targets revealed that the Fc receptor, intracellular steroid hormone receptor signalling pathway, DNA damage and fibroblast proliferation were involved in inflammation, immunity and stress-related biological progression of paediatric asthma. Conclusion: Metabolomic analysis of patient urine combined with network-biology approaches allowed discrimination of asthma profiles and subtypes according to the metabolic patterns. The results provided insight into the potential mechanism of paediatric asthma.We investigated metabolic profiles of paediatric asthma patients to identify asthma-specific biomarkers in urine. A combination of eight metabolites showed excellent discrimination across groups. Enrichment analysis identified complex biological processes associated with immunity, inflammation, oxidative stress and DNA damage. These approaches enabled discrimination between asthma stages and elucidate its mechanisms.

Myocardial infarction (MI), the most common symptom is chest pain, occurs when blood flow decreases or stops to a part of the heart, causing damage to the heart muscle. Electroacupuncture pretreatment (EP) is a recent observation which has been shown to induce ischemic tolerance like the ischemia preconditioning, suggesting that EP may be a promising preventive strategy for individual susceptibility to MI. This study investigated mechanisms that underlie the effect of EP on MI through the use of gas chromatography-mass spectrometry (GC-MS)-based metabolic profiling. Male Sprague-Dawley rats were randomly divided to receive or not receive three days of EP at PC6 (Neiguan). Then on the fourth day, each group was further divided to undergo mock surgery or MI, induced by ligation of the left anterior descending coronary artery. After 24[Formula: see text]h, the blood samples and hearts were collected for the follow-up research. The results showed that treatment by EP significantly reduced the levels of CK-MB, cTnT, AST, and MDH in serum and decreased myocardial infarction area. According to GC-MS-based serum metabolic profiling and analysis, a total of 636 characteristic peaks were identified, including 158 known and 478 unknown metabolites. MI caused comprehensive metabolic changes in glycolysis-related metabolites, malate-aspartate shuttle (MAS) metabolites, and purine metabolites with anti-oxidant functions, while EP reversed more than half of the differential metabolic changes, mainly affecting amino acid and energy metabolism, especially the glutamate metabolism and MAS. In a word, our findings suggest that EP exerts its cardioprotective effect on MI by regulating amino acid and energy metabolisms. Meanwhile, GC-MS-based metabolomics provided a powerful way to characterize the metabolic features of MI, with and without EP, and thereby improved our understanding of the effect and mechanisms of EP.

: Gut microbiota is a complex microecosystem which is called the second genome of the human body. Herbal medicine can balance tumor-suppressing bacteria and tumor-promoting bacteria and exert its anti-cancer effect by regulating gut microbiota. Traditional Chinese medicine (TCM) has a history of thousands of years in prevention and treatment of diseases in China. In recent decades, TCM show an obvious advantage in prolonging the survival time and improving the living quality of patients with cancer. Notably, gut microbiota has become a new pathway to understanding TCM. In this review, we will focus on gut microbiota and tumor progression, especially the diversity, functionality and metabolites of gut microbiota affected by TCM in various cancer. We will also discuss the potential mechanism of gut microbiota for exploring TCM in anti-cancer effect. This article aims to comprehensively review the anti-cancer research of TCM by regulating gut microbiota, and address future perspectives and challenges of gut microbiota in TCM intervention for cancer.

No abstract