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Inflammation is directly related to disease progression and contributes significantly to the global burden of disease. Pothos chinensis (Raf.) Merr. (PCM) is commonly used in Yao medicine in China to treat tumors, and orthopedic illnesses such as knee osteoarthritis, and rheumatic bone discomfort. PCM was found to have significant anti-inflammatory properties in previous studies. To explore the active compounds of PCM and their anti-inflammatory pharmacological mechanisms through an integrated strategy of serum pharmacochemistry, network pharmacology, and serum metabolomics. The qualitative and quantitative analyses of the chemical components of PCM were performed using UPLC-QTOF-MS/MS and UPLC, respectively, and the prototype components of PCM absorbed into the blood were analyzed. Based on the characterized absorbed into blood components, potential targets and signaling pathways of PCM anti-inflammatory were found using network pharmacology. Furthermore, metabolomics studies using UPLC-QTOF-MS/MS identified biomarkers and metabolic pathways related to the anti-inflammatory effects of PCM. Finally, the hypothesized mechanisms were verified by in vivo and in vitro experiments. Forty chemical components from PCM were identified for the first time, and seven of them were quantitatively analyzed, while five serum migratory prototype components were found. Network pharmacology KEGG enrichment analysis revealed that arachidonic acid metabolism, Tyrosine metabolism, TNF signaling pathway, NF-κB signaling pathway, and phenylalanine metabolism were the main signaling pathways of PCM anti-inflammatory. Pharmacodynamic results showed that PCM ameliorated liver injury and inflammatory cell infiltration and downregulated protein expression of IL-1β, NF-κB p65, and MyD88 in the liver. Metabolomics studies identified 53 different serum metabolites, mainly related to purine and pyrimidine metabolism, phenylalanine metabolism, primary bile acid biosynthesis, and glycerophospholipid metabolism. The comprehensive results demonstrated that the anti-inflammatory modulatory network of PCM was related to 5 metabolites, 3 metabolic pathways, 7 targets, and 4 active components of PCM. In addition, molecular docking identified the binding ability between the active ingredients and the core targets, and the anti-inflammatory efficacy of the active ingredients was verified by in vitro experiments. Our study demonstrated the anti-inflammatory effect of PCM, and these findings provide new insights into the active ingredients and metabolic mechanisms of PCM in anti-inflammation. [Display omitted] • The chemical composition of PCM was qualitatively and quantitatively analyzed. • PCM modulates LPS-induced inflammatory responses, which is closely related to the inhibition of TLR4/MyD88/NF-κB signaling. • The four active components in PCM were identified and the anti-inflammatory mechanism was preliminarily verified. [ABSTRACT FROM AUTHOR]

In this study, nine endophytic fungi capable of producing multiple phenolic compounds were screened and identified from 152 fungi isolated from pigeon pea in a natural habitat (Honghe, Yunnan Province, China). Talaromyces neorugulosus R-209 exhibited the highest potential for phenolic compound production. L-phenylalanine feeding was used to enhance phenolic compound production in T. neorugulosus R-209 cultures. Under the optimal feeding conditions (l-phenylalanine dose of 0.16 g/L and feeding phase of 6 days), the yields of genistein, apigenin, biochanin A, and cajaninstilbene acid increased by 15.59-fold, 7.20-fold, 25.93-fold, and 10.30-fold over control, respectively. T. neorugulosus R-209 fed with l-phenylalanine was found to be stable in the production of phenolic compounds during ten successive subcultures. Moreover, bioactivities of extracts of T. neorugulosus R-209 cultures were significantly increased by l-phenylalanine feeding. Overall, l-phenylalanine feeding strategy made T. neorugulosus R-209 more attractive as a promising alternative source for the production of health-beneficial phenolic compounds in the nutraceutical/medicinal industries., (© 2024. The Author(s), under exclusive licence to Springer Nature B.V.)

Background: Due to a lack of research data on the protein requirements of the elderly in China, the estimated average requirement (EAR) and the recommended nutrient intake (RNI) of protein in the elderly remain the same as those in young and middle-aged people at 0.98 g/(kg·d).Objective: The objective of this study was to determine the protein requirements of healthy Chinese adults >65y old through use of the indicator amino acid oxidation (IAAO) method.Methods: Seven healthy adult men and 7 healthy adult women participated in the study, with protein intakes ranging from 0.3 to 1.8 g/(kg·d). The diets were isocaloric and provided energy at a 1.5 resting energy expenditure. Protein was given based on the lactalbumin. Phenylalanine and tyrosine were added to protein doses of 0.3-1.5 g/kg according to the highest dose of protein content [1.8 g/(kg·d)]. Phenylalanine and tyrosine concentrations were kept constant at each protein dose. The mean protein requirement was determined by applying a nonlinear mixed-effects model analysis to the F13CO2, which identified a breakpoint in F13CO2 in response to graded amounts of protein. This trial was registered with the Chinese clinical trial registry as ChiCTR-BOC-17010930.Results: Protein EAR and RNI for healthy elderly Chinese adults were determined to be 0.91 and 1.17 g/(kg·d), respectively, based on the indicator amino acid oxidation technique.Conclusions: The estimates of protein requirements for Chinese adults >65 y in the present study are 3.4% and 19.4% higher than the current estimated requirements, 0.88 g/(kg·d) for EAR and 0.98 g/(kg·d) for RNI. [ABSTRACT FROM AUTHOR]

Aim: To character the specific metabolomics profiles in the sera of Chinese patients with mild persistent asthma and to explore potential metabolic biomarkers., Methods: Seventeen Chinese patients with mild persistent asthma and age- and sex-matched healthy controls were enrolled. Serum samples were collected, and serum metabolites were analyzed using GC-MS coupled with a series of multivariate statistical analyses., Results: Clear intergroup separations existed between the asthmatic patients and control subjects. A list of differential metabolites and several top altered metabolic pathways were identified. The levels of succinate (an intermediate in tricarboxylic acid cycle) and inosine were highly upregulated in the asthmatic patients, suggesting a greater effort to breathe during exacerbation and hypoxic stress due to asthma. Other differential metabolites, such as 3,4-dihydroxybenzoic acid and phenylalanine, were also identified. Furthermore, the differential metabolites possessed higher values of area under the ROC curve (AUC), suggesting an excellent clinical ability for the prediction of asthma., Conclusion: Metabolic activity is significantly altered in the sera of Chinese patients with mild persistent asthma. The data might be helpful for identifying novel biomarkers and therapeutic targets for asthma.