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@#Cardiovascular diseases (CVDs) are major disease burdens with high mortality worldwide. Early prediction of cardiovascular events can reduce the incidence of acute myocardial infarction and decrease the mortality rates of patients with CVDs. The pathological mechanisms and multiple factors involved in CVDs are complex; thus, traditional data analysis is insufficient and inefficient to manage multidimensional data for the risk prediction of CVDs and heart attacks, medical image interpretations, therapeutic decision-making, and disease prognosis prediction. Meanwhile, traditional Chinese medicine (TCM) has been widely used for treating CVDs. TCM offers unique theoretical and practical applications in the diagnosis and treatment of CVDs. Big data have been generated to investigate the scientific basis of TCM diagnostic methods. TCM formulae contain multiple herbal items. Elucidating the complicated interactions between the active compounds and network modulations requires advanced data-analysis capability. Recent progress in artificial intelligence (AI) technology has allowed these challenges to be resolved, which significantly facilitates the development of integrative diagnostic and therapeutic strategies for CVDs and the understanding of the therapeutic principles of TCM formulae. Herein, we briefly introduce the basic concept and current progress of AI and machine learning (ML) technology, and summarize the applications of advanced AI and ML for the diagnosis and treatment of CVDs. Furthermore, we review the progress of AI and ML technology for investigating the scientific basis of TCM diagnosis and treatment for CVDs. We expect the application of AI and ML technology to promote synergy between western medicine and TCM, which can then boost the development of integrative medicine for the diagnosis and treatment of CVDs.
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Adult olfactory neurogenesis plays critical roles in maintaining olfactory functions. Newly-generated neurons in the subventricular zone migrate to the olfactory bulb (OB) and determine olfactory discrimination, but the mechanisms underlying the regulation of olfactory neurogenesis remain unclear. Our previous study indicated the potential of APPL2 (adaptor protein, phosphotyrosine interacting with PH domain and leucine zipper 2) as a modulating factor for neurogenesis in the adult olfactory system. In the present study, we report how APPL2 affects neurogenesis in the OB and thereby mediates olfactory discrimination by using both in vitro neural stem cells (NSCs) and an in vivo animal model-APPL2 transgenic (Tg) mice. In the in vitro study, we found that APPL2 overexpression resulted in NSCs switching from neuronal differentiation to gliogenesis while APPL2 knockdown promoted neurogenesis. In the in vivo study, APPL2 Tg mice had a higher population of glial cells and dampened neuronal production in the olfactory system, including the corpus callosum, OB, and rostral migratory stream. Adult APPL2 Tg mice displayed impaired performance in olfactory discrimination tests compared with wild-type mice. Furthermore, we found that an interaction of APPL2 with Notch1 contributed to the roles of APPL2 in modulating the neurogenic lineage-switching and olfactory behaviors. In conclusion, APPL2 controls olfactory discrimination by switching the fate choice of NSCs via interaction with Notch1 signaling.
ABSTRACT
Adult olfactory neurogenesis plays critical roles in maintaining olfactory functions. Newly-generated neurons in the subventricular zone migrate to the olfactory bulb (OB) and determine olfactory discrimination, but the mechanisms underlying the regulation of olfactory neurogenesis remain unclear. Our previous study indicated the potential of APPL2 (adaptor protein, phosphotyrosine interacting with PH domain and leucine zipper 2) as a modulating factor for neurogenesis in the adult olfactory system. In the present study, we report how APPL2 affects neurogenesis in the OB and thereby mediates olfactory discrimination by using both in vitro neural stem cells (NSCs) and an in vivo animal model-APPL2 transgenic (Tg) mice. In the in vitro study, we found that APPL2 overexpression resulted in NSCs switching from neuronal differentiation to gliogenesis while APPL2 knockdown promoted neurogenesis. In the in vivo study, APPL2 Tg mice had a higher population of glial cells and dampened neuronal production in the olfactory system, including the corpus callosum, OB, and rostral migratory stream. Adult APPL2 Tg mice displayed impaired performance in olfactory discrimination tests compared with wild-type mice. Furthermore, we found that an interaction of APPL2 with Notch1 contributed to the roles of APPL2 in modulating the neurogenic lineage-switching and olfactory behaviors. In conclusion, APPL2 controls olfactory discrimination by switching the fate choice of NSCs via interaction with Notch1 signaling.
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AIM: To investigate the effect of FAK - related non - kinase ( FRNK) on the expression of membrane - type matrix metalloproteinase -1 ( MT1 - MMP) in hepatic stellate cells ( HSC). METHODS:FRNK were trans-fected into HSCs by cationic liposome method. The protein levels of FRNK in HSC were assayed by Western blotting. The levels of MT1 - MMP were determined by RT - PCR for mRNA and by Western blotting for protein, respectively. RESULTS: The up -regulated expression of FRNK protein was observed and it was at 48 h after transfection that the FRNK protein content was the highest ( P < 0.05 ). The expressions of MT1 - MMP mRNA and protein were also up - regulated by the transfection of FRNK, and it was at 48 h after transfection that the MT1 - MMP protein content was significantly increased. CONCLUSION: The mRNA and protein of FRNK were over - expressed in HSC transfected with the gene of FRNK. The inhibitory effect of FRNK on the collagen synthesis in HSC may be through the up - regulation of MT1 - MMP.
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Objective To investigate the effect and mechanism of FRNK on the proliferation of Hepatic Stellate Cells in vitro.Methods FRNK plasmid mediated by cationic liposome was transfected into HSCs.The proliferation of HSCs was evaluated by modified MTT assay.The level of FRNK,FAK,p-FAK(Tyr397),ERK1 and p-ERK in HSCs were assayed by Western blot and RT-PCR.Results Compared with nFRNK plasmid group,FRNK inhibited the proliferation of HSCs and the inhibition rates at 12,24 and 48 h were 20.07%,26.16% and 29.77%(P
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AIM:To evaluate the inhibitory effect of FRNK on the phosphorylation of FAK and apoptosis in hepatic stellate cells (HSCs). METHODS: After stimulated with fibronectin, HSCs was transfected with FRNK plasmid by cationic liposome method. The apoptosis of FRNK-induced HSCs was examined by Annexin-V/propidium iodide double-labeled flow cytometry (FCM), gel electrophoresis and transmission electron microscope. The protein levels of FRNK, FAK and p-FAK (Tyr397) in HSCs were assayed by Western blotting, and RT-PCR was used to detect the expression of mRNA. RESULTS: The expression of FRNK was enhanced and the phosphorylation of FAK was inhibited after FRNK was transiently transfected into HSCs in vitro. The apoptotic rate in HSCs exposed to FRNK plasmid for 48 h was higher than that in the non-FRNK plasmid group [(25.37?1.92) % vs (9.28?1.05) %, P