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1.
Zhongguo Yi Liao Qi Xie Za Zhi ; 42(5): 384-387, 2018 Sep 30.
Article in Chinese | MEDLINE | ID: mdl-30358359

ABSTRACT

To study the role of the activity in reducing the incidence of water leakage in digestive endoscopy, through the activity of the quality control circle (QCC), the reasons for water leakage and high maintenance cost are analyzed deeply. Then, the author formulated and implemented targeted measures to intervene in the non-standard aspects of daily management of endoscopy. Then targeted measures has been taken to improve the nonstandard daily management.Results demonstrate that the application of the quality control circle can significantly reduce the incidence of water leakage in the digestive endoscope and control the other faults caused by the leakage. This not only reduces the high maintenance cost of endoscopy, improves the utilization rate and turnover rate of endoscopy, but also fully explores personal potential, enhances team cohesion, and improves quality management awareness.


Subject(s)
Endoscopy, Gastrointestinal , Quality Control , Endoscopes , Endoscopy , Endoscopy, Gastrointestinal/adverse effects , Equipment Design , Incidence
2.
Mol Med Rep ; 18(1): 550-556, 2018 Jul.
Article in English | MEDLINE | ID: mdl-29749496

ABSTRACT

Expression of microRNA-338-3p (miR-338-3p) was aberrantly elevated in pemphigus vulgaris (PV), although its role in PV is still unknown. The present study investigated the functional role and possible molecular mechanisms of miR-338-3p in PV. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was performed to detect miR-338-3p expression in peripheral blood mononuclear cells (PBMCs) from patients with PV. Correlation with disease severity and anti-desmoglein 3 antibody (anti-Dsg3) titers were analyzed in patients with PV. The effects of overexpression and knockdown of miR-338-3p expression in PBMCs and effects on Th1 and Th2 cytokines were also examined using ELISA. The luciferase reporter analysis, RT-qPCR and western blot analysis were applied to investigate potential and functional target genes. The data showed that miR-338-3p expression was significantly upregulated in PV and the upregulation of miR-338-3p associated with disease severity and a high anti-Dsg3 antibody titer. Expression of miR-338-3p/mimic in healthy PBMCs significantly downregulated Th1 cytokine (IFN-γ) and upregulated Th2 cytokines (IL-4 and IL-10), whereas knockdown of miR-338-3p expression in PBMCs from patients with PV induced the reverse effects. Overexpression of miR-338-3p suppressed cell viability. Luciferase reporter, RT-qPCR and western blot assays idnicated that TNFR1-associated death domain protein (TRADD) was the direct and functional target of miR-338-3p. Increased expression of miR-338-3p contributed to the production of Dsg3 antibody by inhibiting TRADD expression to induce an imbalance in Th1/Th2 cell functions. Taken together, this study suggests that miR-338-3p may be used as a potential therapeutic target for PV treatment.


Subject(s)
Autoantibodies , Desmoglein 3/immunology , Leukocytes, Mononuclear/metabolism , MicroRNAs/metabolism , Pemphigus/metabolism , TNF Receptor-Associated Death Domain Protein , Adult , Aged , Female , Humans , Leukocytes, Mononuclear/immunology , Male , Middle Aged , Pemphigus/immunology , Th1 Cells , Th2 Cells
3.
Front Aging Neurosci ; 10: 103, 2018.
Article in English | MEDLINE | ID: mdl-29692721

ABSTRACT

Mild cognitive impairment (MCI), which generally represents the transition state between normal aging and the early changes related to Alzheimer's disease (AD), has drawn increasing attention from neuroscientists due that efficient AD treatments need early initiation ahead of irreversible brain tissue damage. Thus effective MCI identification methods are desperately needed, which may be of great importance for the clinical intervention of AD. In this article, the range scaled analysis, which could effectively detect the temporal complexity of a time series, was utilized to calculate the Hurst exponent (HE) of functional magnetic resonance imaging (fMRI) data at a voxel level from 64 MCI patients and 60 healthy controls (HCs). Then the average HE values of each region of interest (ROI) in brainnetome atlas were extracted and compared between MCI and HC. At last, the abnormal average HE values were adopted as the classification features for a proposed support vector machine (SVM) based identification algorithm, and the classification performance was estimated with leave-one-out cross-validation (LOOCV). Our results indicated 83.1% accuracy, 82.8% sensitivity and 83.3% specificity, and an area under curve of 0.88, suggesting that the HE index could serve as an effective feature for the MCI identification. Furthermore, the abnormal HE brain regions in MCI were predominately involved in left middle frontal gyrus, right hippocampus, bilateral parahippocampal gyrus, bilateral amygdala, left cingulate gyrus, left insular gyrus, left fusiform gyrus, left superior parietal gyrus, left orbital gyrus and left basal ganglia.

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