The LIFT procedure can be considered an effective sphincter-sparing procedure in the management of transsphincteric fistula with an acceptable long-term outcome.
The aim of the present study was to elucidate the underlying mechanism of antitumor activity of gambogic acid (GA) in colon cancer. Human colon cancer SW620 cells were divided into five treatment groups, including no-treatment control (NC), low dose GA (10 µg/ml), medium dose GA (50 µg/ml), high dose GA (100 µg/ml) and 5-fluorouracil (10 µg/ml). Differences in cell proliferation, apoptosis and cell cycle, invasion, and migration were measured between groups using MTT, flow cytometry, transwell and wound-healing assays, respectively. Western blotting was used to analyze relative protein expression levels of phosphoinositide 3-kinase (PI3K), protein kinase B (AKT), P21, and matrix metalloprotease (MMP)-2 and-9 between groups. Compared with the NC group, GA (low, middle and high) inhibited SW620 cell proliferation, invasion and migration (all P<0.05). Furthermore, there were significant differences in proliferation, invasion and migration between groups administered with different doses of GA (all P<0.05). Compared with the NC group, the expression levels of PI3K, AKT, phosphorylated-AKT, P21 and MMP-2 and-9 were significantly altered in a dose dependent manner following treatment with GA (all P<0.05). The results of the current study indicated that GA suppressed proliferation and dispersion of human colon cancer cells in a dose-dependent manner, possibly through a PI3K/AKT/P21/MMP-2/9-dependent pathway.
BackgroundFunctional constipation (FCon), is a symptom-based functional gastrointestinal disorder without an organic etiology and altering brain structure and function. However, previous studies mainly focused on isolated brain regions involved in brain plasticity. Therefore, little is known about the altered large-scale interaction of brain networks in FCon.MethodsFor this study, we recruited 20 patients with FCon and 20 healthy controls. We used group independent component analysis to identify resting-state networks (RSNs) and documented intra- and inter-network alterations in the RSNs of the patients with FCon.ResultsWe found 14 independent RSNs. Differences in the intra-networks included decreased activities in the bilateral caudate of RSN 3 (strongly related to emotional and autonomic processes) and decreased activities in the left precuneus of RSN 10 (default mode network). Notably, the patients with FCon exhibited significantly decreased interactive connectivity between RSNs, mostly involving the connections to the visual perception network (RSN 7–9).ConclusionCompared with healthy controls, patients with FCon had extensive brain plastic changes within and across related RSNs. Furthermore, the macroscopic brain alterations in FCon were associated with interoceptive abilities, emotion processing, and sensorimotor control. These insights could therefore lead to the development of new treatment strategies for FCon.
Big data and artificial intelligence are two important branches of today's computer science. In recent years, research on two areas of big data and artificial intelligence has been uninterrupted. In fact, the connection between big data and artificial intelligence is inextricably linked. Firstly, the development of big data technology relies on artificial intelligence because it uses many theories and methods of artificial intelligence. Secondly, the development of artificial intelligence must also rely on big data technology and need big data to support it. Under the background of the big data era, what innovations and developments will be made in thefuture of artificial intelligence, we will wait and see.
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