In this work, a wearable smart clothing system for cardiac health monitoring with a multi-channel mechanocardiogram (MCG) has been developed to predict the myo-cardiac left ventricular ejection fraction (LVEF) function and to provide early risk warnings to the subjects. In this paper, the realization of the core of this system, i.e., the Cardiac Health Assessment and Monitoring Platform (CHAMP), with respect to its hardware, firmware, and wireless design features, is presented. The feature values from the CHAMP system have been correlated with myo-cardiac functions obtained from actual heart failure (HF) patients. The usability of this MCG-based cardiac health monitoring smart clothing system has also been evaluated with technology acceptance model (TAM) analysis and the results indicate that the subject shows a positive attitude toward using this wearable MCG-based cardiac health monitoring and early warning system.
High PI3K expression is associated with CRC metastasis. PI3K inhibitor induced apoptosis in CRC cells and displayed strong cytotoxicity for highly metastatic cells. PI3K inhibition may be an effective treatment for CRC.
Recently, Rac GTPase-activating protein 1 (RACGAP1) has been shown to have a critical role in various tumors. The aim of the present study was to investigate the expression of RACGAP1 in human meningiomas and to compare these results with the clinicopathological parameters. Thirty-two cases, classified as 13 World Health Organization grade I (40.6 %), 10 grade II (31.3 %) and 9 grade III (28.1 %) primary meningiomas, were selected from our pathological files. Clinico-pathological data, including survival data, were also available. RACGAP1 expression in the meningiomas was measured by real-time quantitative PCR and western blot. Our results showed the level of RACGAP1 expression in grade III meningioma is higher than that of grade I. Higher levels of RACGAP1 mRNA were significantly correlated with tumor size, higher Simpson grade, histological type and clinical course (P < 0.05). Furthermore, the level of RACGAP1 expression mRNA was positively correlated with MIB-1 labeling index in different meningiomas tissue (r(2) = 0.3237, P = 0.0007). Additionally, Kaplan-Meier curves demonstrated a significantly worse survival in patients with high levels of RACGAP1 mRNA (P = 0.008). In conclusion, these findings suggest that RACGAP1 may be used as a potential predictor for tumor proliferative and patient prognosis in meningiomas.
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