Screening of the Active Compounds against Neural Oxidative Damage from Ginseng Phloem Using UPLC-Q-Exactive-MS/MS Coupled with the Content-Effect Weighted Method.

The neuroprotective properties of ginsenosides have been found to reverse the neurological damage caused by oxidation in many neurodegenerative diseases. However, the distribution of ginsenosides in different tissues of the main root, which was regarded as the primary medicinal portion in clinical practice was different, the specific parts and specific components against neural oxidative damage were not clear. The present study aims to screen and determine the potential compounds in different parts of the main root in ginseng. Comparison of the protective effects in the main root, phloem and xylem of ginseng on hydrogen peroxide-induced cell death of SH-SY5Y neurons was investigated. UPLC-Q-Exactive-MS/MS was used to quickly and comprehensively characterize the chemical compositions of the active parts. Network pharmacology combined with a molecular docking approach was employed to virtually screen for disease-related targets and potential active compounds. By comparing the changes before and after Content-Effect weighting, the compounds with stronger anti-nerve oxidative damage activity were screened out more accurately. Finally, the activity of the selected monomer components was verified. The results suggested that the phloem of ginseng was the most effective part. There were 19 effective compounds and 14 core targets, and enriched signaling pathway and biological functions were predicted. After Content-Effect weighting, compounds Ginsenosides F1, Ginsenosides Rf, Ginsenosides Rg1 and Ginsenosides Rd were screened out as potential active compounds against neural oxidative damage. The activity verification study indicated that all four predicted ginsenosides were effective in protecting SH-SY5Y cells from oxidative injury. The four compounds can be further investigated as potential lead compounds for neurodegenerative diseases. This also provides a combined virtual and practical method for the simple and rapid screening of active ingredients in natural products.

Correlation between different Chinese medicine syndromes and changes in microcirculation in septic shock patients.

OBJECTIVE: To investigate the correlation between different Chinese medicine (CM) syndromes and variations in microcirculation in septic shock patients. METHODS: seventy Septic shock patients were divided into four groups: heat damaging qi-yin group (HDQY, 23 cases); yin exhaustion and yang collapse group (YEYC, 26 cases); excessive heat in Fu organ group (EHFO, 10 cases); and heat damaging nutrient-blood group (HDNB, 11 cases). Sublingual microcirculation parameters were observed by sidestream dark-field (SDF) imaging and scored by Acute Physiology and Chronic Health Evaluation II (APACHE II) and the Sequential Organ Failure Assessment (SOFA), and parameters of microcirculation perfusion variations and prognoses were analyzed. RESULTS: Compared with those with qi-yin heat damage, perfused vessel density (PVD) in other groups decreased dramatically (P<0.05), and APACHE II scores increased significantly (P<0.05). In addition, the recovery time was prolonged substantially (P<0.05), and the mixed venous oxygen saturation (SVO2) decreased (P<0.05). Blood lactic acid increased significantly (P<0.05), and the mixed SVO decreased (P<0.05), in the YEYC group. Compared with the thermal injury camp blood group, sublingual microcirculation parameter variations showed no obvious difference in the YEYC and EHFO groups (P>0.05). There were significant positive correlations between CM syndromes and APACHE II scoring in different groups (r=0.512, P<0.05). There were negative correlations between PVD and APACHE II scoring (r=-0.378, P=0.043), the proportion of perfused vessels (PPV) and APACHE II scoring (r=-0.472, P=0.008), as well as between the microvascular flow index (MFI) and APACHE II scoring (r=-0.424, P=0.023) in different patients. CONCLUSION: Sublingual microcirculation may serve as a clinical diagnostic parameter of the patient condition, as well as being a prognostic indicator.