ABSTRACT
FGFC1 (Fungi fibrinolytic compound1) is a bisindole compound with good biological activity, which was first derived from the Stachybotrys longispora FG216. However, the anti-tumor effects of FGFC1 have not been reported. This study investigated the effect and mechanism of FGFC1 on the proliferation, apoptosis, migration and invasion of non-small cell lung cancer (NSCLC) cells.Firstly, PC9, H1975, HCT116, HeLa and 293T cells were treated with different concentrations of FGFC1, and the cell counting kit-8 assay was used to determine relative cell viability; flow cytometry was used to evaluate apoptosis; real-time PCR and Western blotting analysis were performed to measure the expression of apoptosis-related genes in PC9 cells; wound healing and Transwell invasion assays were used to measure the ability of migration and invasion; Western blotting was performed to measure the expression of kinase proteins involved in the PI3K/Akt/mTOR signaling pathway, exploring the influence of FGFC1 on this signaling pathway. We found that FGFC1 selectively inhibited the proliferation of PC9 cells. It also up-regulated the expression of apoptosis-promoting protein cleaved-caspase-3 and cleaved-PARP, and induced apoptosis in a dose-dependent manner (P < 0. 05). FGFC1 also significantly inhibited the migratory and invasive capacity of PC9 cells in a dose-dependent manner (P < 0. 05). Further studies confirmed that FGFC1 could inhibit the activation of the PI3K/Akt/mTOR signaling pathway with the down-regulation of the protein expression levels of p-PI3K, p-Akt and p-mTOR. Thus, we conclude that FGFC1 inhibited the proliferation of PC9 and H1975 cells, induced the apoptosis and inhibited the migration and invasion of PC9 cells, which may take place through down-regulating the PI3K/Akt/mTOR signaling pathway. These findings suggest that FGFC1 might be a new therapeutic target in NSCLC treatment in the future.
ABSTRACT
Objective:The volatile components of Rhododendri Mollis Flos were determined and the differences of volatile components at different flowering stages were compared and analyzed. Method:Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile components in Rhododendri Mollis Flos at different flowering stages （bud stage， initial flowering stage， half-flowering stage， blooming stage and late blooming stage）. GC-IMS spectra combined with cluster analysis， principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA） were used to compare the differences and similarities of volatile components in different flowering stages. Result:A total of 70 volatile components in Rhododendri Mollis Flos at different flowering stages were detected， among which 67 were common components， and 47 were identified qualitatively， mainly alcohols， esters and aldehydes. Carveol was a special component at the late blooming stage. The content of alpha-terpineol is the highest at the initial flowering stage， but not at the blooming stage and late blooming stage. The relative contents of the active ingredients ［6-methyl-5-hepten-2-one， nonanal， alpha-terpineol， 1，8-cineole， linalool oxide， 1-octen-3-ol， （<italic>E</italic>）-3-hexenol］ showed a decreasing trend during flowering stages. GC-IMS spectra showed that the samples at different flowering stages had their own characteristic peak regions， and also had common regions. The results of cluster analysis， PCA and OPLS-DA all showed that the samples at different flowering stages were distinguishable. OPLS-DA was used to screen 19 different components to distinguish different flowering stages， including <italic>γ</italic>-butyrolactone， 1，8-cineole， ethyl hexanoate， etc. Conclusion:Rhododendri Mollis Flos samples at different flowering stages can be distinguished obviously， and the active substances in the volatile components are gradually dissipated with the degree of flower opening， which can provide reference for the improvement of material basis and the study of different flowering stages of Rhododendri Mollis Flos.
ABSTRACT
In this paper， through the collection and collation of ancient materia medica， medical books and medical formulary， combining with modern literature， the historical changes of the name， origin， position， harvesting time， medicinal parts， toxicity， functions and indications， processing methods of Rhododendri Mollis Flos （RMF） were systematically combed and verified， so as to provide reference for clinical application， processing standard and basic research of RMF. According to textual research， RMF is the dried flower of Rhododendron molle. In each historical period， there are many aliases and local names， being with phenomenon of homonyms and synonyms. RMF is mostly wild and planted in a small amount， harvesting time is mostly in March to April. However， the harvesting flowering period is differently described as initial bloom， full bloom and extensive bloom. RMF was first recorded in Shennong Bencaojing (《神农本草经》)， but it did not mention its medicinal parts. Then the flowers， fruits， roots are be used as medicine， but flowers are still the main medicinal parts. RMF had a long processing history， included fried， vinegar-fried， wine-fried， steamed， wine-steamed， vinegar-steamed， and many other processing methods in ancient times. However， at present， only raw products are used in clinical practice， and only a few modern books retain the methods of stir-fried and wine-steamed， believing that the processing can reduce toxicity of RMF.
ABSTRACT
The uniformly pseudo-projection-anti-monotone (UPPAM) neural network model, which can be considered as the unified continuous-time neural networks (CNNs), includes almost all of the known CNNs individuals. Recently, studies on the critical dynamics behaviors of CNNs have drawn special attentions due to its importance in both theory and applications. In this paper, we will present the analysis of the UPPAM network under the general critical conditions. It is shown that the UPPAM network possesses the global convergence and asymptotical stability under the general critical conditions if the network satisfies one quasi-symmetric requirement on the connective matrices, which is easy to be verified and applied. The general critical dynamics have rarely been studied before, and this work is an attempt to gain an meaningful assurance of general critical convergence and stability of CNNs. Since UPPAM network is the unified model for CNNs, the results obtained here can generalize and extend the existing critical conclusions for CNNs individuals, let alone those non-critical cases. Moreover, the easily verified conditions for general critical convergence and stability can further promote the applications of CNNs.
ABSTRACT
The backpropogation (BP) neural networks have been widely applied in scientific research and engineering. The success of the application, however, relies upon the convergence of the training procedure involved in the neural network learning. We settle down the convergence analysis issue through proving two fundamental theorems on the convergence of the online BP training procedure. One theorem claims that under mild conditions, the gradient sequence of the error function will converge to zero (the weak convergence), and another theorem concludes the convergence of the weight sequence defined by the procedure to a fixed value at which the error function attains its minimum (the strong convergence). The weak convergence theorem sharpens and generalizes the existing convergence analysis conducted before, while the strong convergence theorem provides new analysis results on convergence of the online BP training procedure. The results obtained reveal that with any analytic sigmoid activation function, the online BP training procedure is always convergent, which then underlies successful application of the BP neural networks.
