With the aim to discuss the similarities and differences of phytochemicals in Moringa oleifera leaves collected from China (CML) and India (IML) in mind, comparative ultra-performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry (UPLC-QTOF-MS) analysis was performed in this study. A screening analysis based on a UNIFI platform was first carried out to discuss the similarities. Next, untargeted metabolomic analysis based on multivariate statistical analysis was performed to discover the differences. As a result, a total of 122 components, containing 118 shared constituents, were characterized from CML and IML. The structure types included flavonoids, alkaloids, glyosides, organic acids and organic acid esters, iridoids, lignans, and steroids, etc. For CML, 121 compounds were characterized; among these, 18 potential biomarkers with higher contents enabled differentiation from IML. For IML, 119 compounds were characterized; among these, 12 potential biomarkers with higher contents enabled differentiation from CML. It could be concluded that both CML and IML are rich in phytochemicals and that CML is similar to IML in the kinds of the compounds it contains, except for the significant differences in the contents of some compounds. This comprehensive phytochemical profile study provides a basis for explaining the effect of different growth environments on secondary metabolites and exists as a reference for further research into or applications of CML in China.

Aiming at further systematically comparing the similarities and differences of the chemical components in ginseng of different ages, especially comparing the younger or the older and mountain-cultivated ginseng (MCG), 4, 5, 6-year-old cultivated ginseng (CG) and 12, 20-year-old MCG were chosen as the analytical samples in the present study. The combination of UPLC-QTOF-MS E , UNIFI platform and multivariate statistical analysis were developed to profile CGs and MCGs. By the screening analysis based on UNIFI, 126 chemical components with various structural types were characterized or tentatively identified from all the CG and MCG samples for the first time. The results showed that all the CG and MCG samples had the similar chemical composition, but there were significant differences in the contents of markers. By the metabolomic analysis based on multivariate statistical analysis, it was shown that CG 4-6 years , MCG 12 years and MCG 20 years samples were obviously divided into three different groups, and a total of 17 potential age-dependent markers enabling differentiation among the three groups of samples were discovered. For differentiation from other two kinds of samples, there were four robust makers such as α-linolenic acid, 9-octadecenoic acid, linoleic acid and panaxydol for CG 4-6 years , five robust makers including ginsenoside Re 1 , -Re 2 , -Rs 1 , malonylginsenoside Rb 2 and isomer of malonylginsenoside Rb 1 for MCG 20 years , and two robust makers, 24-hydroxyoleanolic acid and palmitoleic acid, for MCG 12 years were discovered, respectively. The proposed approach could be applied to directly distinguish MCG root ages, which is an important criterion for evaluating the quality of MCG. The results will provide the data for the further study on the chemical constituents of MCG.Molecules 2019, 24, 33 2 of 24 distinct [4,5], and more aged ginseng is usually of higher economic value. In an investigation of the characteristic components for distinguishing CG (4-7-year of age) and MCG (with 15-years of growth), 12 compounds, including ginsenoside Ra 3 /isomer, gypenoside XVII, quinquenoside R 1 , ginsenoside Ra 7 , notoginsenoside Fe, ginsenoside Ra 2 , ginsenoside Rs 6 /Rs 7 , malonyl ginsenoside Rc, malonyl ginsenoside Rb 1 , malonyl ginsenoside Rb 2 , palmitoleic acid, and ethyl linoleate were regarded as the characteristic chemical markers for the discrimination [6]. Recently, a UPLC/QTOF-MS-based metabolomics approach was applied to the global metabolite profiling of MCG leaf samples aged from 6 to 18 years, and the authors claimed that the approach could also be applied to discriminate MCG root ages indirectly [7]. It is undoubted that the developed method can be used as a standard protocol for discriminating and predicting MCG leaf ages directly, but there might be some inaccuracy and uncertainty when discriminating MCG root ages indirectly.In the past decades, some analytical methods focusing on ginsenosides had been used to distinguish MCG from CG, such as thin layer chromatography (TLC), or high p...

Platycodonis radix is extensively used for treating cough, excessive phlegm, sore throat, bronchitis and asthma in the clinic. Meanwhile, the stems, leaves and seeds of Platycodon grandiflorum (PG) have some pharmaceutical activities such as anti-inflammation and anti-oxidation effects, etc. These effects must be caused by the different metabolites in various parts of herb. In order to profile the different parts of PG, the ultra-high performance liquid chromatography combined with quadrupole time-of- flight mass spectrometry (UPLC-QTOF-MSE) coupled with UNIFI platform and multivariate statistical analyses was used in this study. Consequently, for the constituent screening, 73, 42, 35, 44 compounds were characterized from the root, stem, leaf and seed, respectively. The stem, leaf and seed contain more flavonoids but few saponins that can be easily discriminated in the root. For the metabolomic analysis, 15, 5, 7, 11 robust biomarkers enabling the differentiation among root, stem, leaf and seed, were discovered. These biomarkers can be used for rapid identification of four different parts of PG grown in northeast China.

Lung cancer is the most common solid tumor around the world. It has been reported that upregulation of long noncoding RNA (lncRNA) plasmacytoma variant translocation 1 (lncRNA-PVT1) is closely associated with tumor metastasis. However, the function and underlying molecular mechanism of lncRNA-PVT1 in nonsmall cell lung cancer (NSCLC) invasion remain unknown. In this study, we found that overexpression of lncRNA-PVT1 promoted the invasive ability of NSCLC cells, whereas silence of lncRNA-PVT1 suppressed cell invasion. Furthermore, we found that lncRNA-PVT1 upregulated MMP9 expression in a post-transcriptional manner. Specifically, lncRNA-PVT1 directly interacted with miR-200a and miR-200b, which suppressed MMP9 expression. Taken together, lncRNA-PVT1 functions as a competitive endogenous RNA to regulate MMP9 expression through competitively binding the common microRNAs, miR-200a and miR-200b. These findings suggest that lncRNA-PVT1 could predispose NSCLC patients to metastases and may serve as a promising target for antimetastatic therapies.