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( Yuan-qing Hu ),( Xian-hui Huang ),( Li-qing Guo ),( Zi-chen Shen ),( Lin-xue Lv ),( Feng-xia Li ),( Zan-hu Zhou ),( Dan-feng Zhang ) 한국미생물 · 생명공학회 2021 Journal of microbiology and biotechnology Vol.31 No.12
Vibrio parahaemolyticus is recognized as one of the most important foodborne pathogens responsible for gastroenteritis in humans. The bla<sub>CARB-17</sub> gene is an intrinsic β-lactamase gene and a novel species-specific genetic marker of V. parahaemolyticus. In this study, a loop-mediated isothermal amplification (LAMP) assay combined with a lateral flow dipstick (LFD) was developed targeting this bla<sub>CARB-17</sub> gene. The specificity of LAMP-LFD was ascertained by detecting V. parahaemolyticus ATCC 17802 and seven other non-V. parahaemolyticus strains. Finally, the practicability of LAMP-LFD was confirmed by detection with V. parahaemolyticus-contaminated samples and natural food samples. The results showed that the optimized reaction parameters of LAMP are as follows: 2.4 mmol/l Mg<sup>2+</sup>, 0.96 mmol/l dNTPs, 4.8 U Bst DNA polymerase, and an 8:1 ratio of inner primer to outer primer, at 63℃ for 40 min. The optimized reaction time of the LFD assay is 60 min. Cross-reactivity analysis with the seven non-V. parahaemolyticus strains showed that LAMP-LFD was exclusively specific for V. parahaemolyticus. The detection limit of LAMP-LFD for V. parahaemolyticus genomic DNA was 2.1 × 10<sup>-4</sup> ng/μl, corresponding to 630 fg/reaction and displaying a sensitivity that is 100-fold higher than that of conventional PCR. LAMP-LFD in a spiking study revealed a detection limit of approximately 6 CFU/ml, which was similar with conventional PCR. The developed LAMP-LFD specifically identified the 10 V. parahaemolyticus isolates from 30 seafood samples, suggesting that this LAMP-LFD may be a suitable diagnostic method for detecting V. parahaemolyticus in aquatic foods.
A Multisource PNT Fusion Algorithm Based on a Variance Genetic Model
Qing Hu,Jing Jia,Yue Zhu,Jingyun Cao,Jinyuan Li 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.4
As one of the long-term challenges faced by the International Maritime Organization (IMO), the global navigation satellite system (GNSS) has become increasingly complicated with the rapid development of intelligent ships and autonomous navigation ships. GNSS vulnerability is an important factor affecting navigation safety. Therefore, we propose a multisource position, navigation and time (PNT) data fusion algorithm based on the study of multisource shipborne PNT system model. This algorithm uses the variance genetic model to estimate the measurement variance of a PNT source at the subsequent time step to obtain an estimated value that is close to the real value, thus producing an optimal fusion factor for each PNT source and obtaining highly reliable and high-precision PNT fusion data. The simulation and measurement results show that the multisource PNT fusion algorithm based on the variance genetic model can provide superior reliability and precision when the PNT source is disturbed by abnormal interference.
Qing Hu,Changyong Liu,Changchun Yuan,Yuyin Wang,Sumei Zhang 한국강구조학회 2020 International Journal of Steel Structures Vol.20 No.6
This paper deals with experimental investigations into in-plane stability of fi xed concrete-fi lled steel tubular (CFST) parabolic arches. Three CFST arches with the same span but diff erent rise-to-span ratios were tested under fi ve-point symmetrical concentrated loads over the full span. All applied loads were controlled in synchronization. The test results show that the test arches buckled in an antisymmetric failure mode and the section positions with the maximum deformation were slightly diff erent for three test arches. It is found that the bearing capacity of CFST arches decreased signifi cantly with the decline of rise-to-span ratios, and the outer steel tube provided signifi cant confi nement eff ects on the core concrete after the load reaches 80% of the load-carrying capacity. Moreover, comparisons between the test and fi nite element results indicate that the existing beam-element modeling method can predict the in-plane stability performance of CFST arches very well.
FOXA1: a Promising Prognostic Marker in Breast Cancer
Hu, Qing,Luo, Zhou,Xu, Tao,Zhang, Jun-Ying,Zhu, Ying,Chen, Wei-Xian,Zhong, Shan-Liang,Zhao, Jian-Hua,Tang, Jin-Hai Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.1
Accurate diagnosis and proper monitoring of cancer patients remain important obstacles for successful cancer treatment. The search for cancer biomarkers can aid in more accurate prediction of clinical outcome and may also reveal novel predictive factors and therapeutic targets. One such prognostic marker seems to be FOXA1. Many studies have shown that FOXA1 is strongly expressed in a vast majority of cancers, including breast cancer, in which high expression is associated with a good prognosis. In this review, we summarize the role of this transcription factor in the development and prognosis of breast cancer in the hope of providing insights into utility of FOXA1 as a novel biomarker.
Hu, Dehua,Liu, Qing,Tisdale, Jeremy,Nam, Haerim,Park, Soo Young,Wang, Hsin,Urbas, Augustine,Hu, Bin Elsevier 2015 ORGANIC ELECTRONICS Vol.26 No.-
<P><B>Abstract</B></P> <P>This paper reports Seebeck effects from optically-induced intramolecular proton-transfer HPI-Cbz molecules based on vertical electrode/organic film/electrode thin-film devices. We observed large Seebeck coefficients of 428μV/K and 390μV/K from HPI-Cbz based thin-film devices at 60°C when proton-transfer was induced by the photoexcitation of a 325nm laser with an intensity of 12mW/cm<SUP>2</SUP> and 6mW/cm<SUP>2</SUP> respectively. Under dark condition without proton transfer occurring, the Seebeck coefficient was measured to be 342μV/K at 60°C. The Seebeck coefficient enhancement by the induced intramolecular charge transfer can be attributed to the enhanced polarization difference between high- and low-temperature surface due to the stronger electron–phonon coupling followed with the proton-transfer in HPI-Cbz under photoexcitation, and the strength of electron–phonon coupling is proportional to the photoexcitation intensity. The enhanced temperature-dependent electrical polarization between the high and low-temperature surfaces acts as an additional driving force to diffuse the majority charge carriers for the development of a large Seebeck effect. Therefore, using intramolecular proton-transfer presents an effective approach of enhancing Seebeck effect in organic materials.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Photoinduced proton-transfer states lead to enhancement on Seebeck coefficients. </LI> <LI> Photoinduced proton-transfer states lead to enhancement on electrical conductivity. </LI> <LI> Temperature-dependent polarization acts as a new driving force for Seebeck effect. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
Down-regulation of miRNA-452 is Associated with Adriamycin-resistance in Breast Cancer Cells
Hu, Qing,Gong, Jian-Ping,Li, Jian,Zhong, Shan-Liang,Chen, Wei-Xian,Zhang, Jun-Ying,Ma, Teng-Fei,Ji, Hao,Lv, Meng-Meng,Zhao, Jian-Hua,Tang, Jin-Hai Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.13
Adriamycin (ADR) is an important chemotherapeutic agent frequently used in treatment of breast cancer. However, resistance to ADR results in treatment failure in many patients. Recent studies have indicated that microRNAs (miRNAs) may play an important role in such drug-resistance. In the present study, microRNA-452 (miR-452) was found to be significantly down-regulated in adriamycin-resistant MCF-7 cells (MCF-7/ADR) compared with the parental MCF-7 cells by miRNA microarray and real-time quantitative PCR (RT-qPCR). MiR-452 mimics and inhibitors partially changed the adriamycin-resistance of breast cancer cells, as also confirmed by apoptosis assay. In exploring the potential mechanisms of miR-452 in the adriamycin-resistance of breast cancer cells, bioinformatics analysis, RT-qPCR and Western blotting showed that dysregulation of miR-452 played an important role in the acquired adriamycin-resistance of breast cancer, maybe at least in part via targeting insulin-like growth factor-1 receptor (IGF-1R).
Qing-Qing Dong,Qiu-Tong Wang,Lei Wang,Ya-Xin Jiang,Mei-Ling Liu,Hai-Jie Hu,Yong Liu,Hao Zhou,Hong-Peng He,Tong-Cun Zhang,Xuegang Luo 한국식품과학회 2018 Food Science and Biotechnology Vol.27 No.4
Sulforaphane (SFN), a natural compound derived from cruciferous vegetables, has been proved to possess potent anti-cancer activity. SMYD3 is a histone methyltransferase which is closely related to the proliferation and migration of cancer cells. This study showed that SFN could dose-dependently induce cell cycle arrest, stimulate apoptosis, and inhibit proliferation and migration of gastric carcinoma cells. Accompanied with these anticancer effects, SMYD3 and its downstream genes, myosin regulatory light chain 9, and cysteine-rich angiogenic inducer 61, was downregulated by SFN. Furthermore, overexpression of SMYD3 via transfection could abolish the effects of SFN, suggesting that SMYD3 might be an important mediator of SFN. To the best of our knowledge, this is the first report describing the role of SMYD3 in the anti-cancer of SFN. These findings might throw light on the development of novel anti-cancer drugs and functional food using SFN-rich cruciferous vegetables.
Current Progress in the Treatment of Metaplastic Breast Carcinoma
Hu, Qing,Chen, Wei-Xian,Zhong, Shan-Liang,Li, Jian,Luo, Zhou,Tang, Jin-Hai,Zhao, Jian-Hua Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.11
Metaplastic breast cancer (MBC) is a rare type of breast carcinoma, characterized by various combinations of mesenchymal, adenocarcinoma and other epithelial components. MBC often manifests as a large mass, with low axillary lymph node involvement and poor prognosis. Knowledge and treatment patterns about MBC demographics, presentation and tumor characteristics are very limited. In clinical practice, MBC is usually treated based on the guidelines developed for infiltrating ductal carcinoma (IDC). The ideal treatment paradigm for MBC is unknown due to its low incidence and pathological variability, so potential predictors of treatment efficacy need to be explored. This review summarizes the current models and strategies for MBC according to the published literature.
Zhou Qing-Qing,Wang Jiashuo,Tang Wen,Hu Zhang-Chun,Xia Zi-Yi,Xue-Song Li,Zhang Rongguo,Yin Xindao,Zhang Bing,Zhang Hong 대한영상의학회 2020 Korean Journal of Radiology Vol.21 No.7
Objective: To evaluate the performance of a convolutional neural network (CNN) model that can automatically detect and classify rib fractures, and output structured reports from computed tomography (CT) images. Materials and Methods: This study included 1079 patients (median age, 55 years; men, 718) from three hospitals, between January 2011 and January 2019, who were divided into a monocentric training set (n = 876; median age, 55 years; men, 582), five multicenter/multiparameter validation sets (n = 173; median age, 59 years; men, 118) with different slice thicknesses and image pixels, and a normal control set (n = 30; median age, 53 years; men, 18). Three classifications (fresh, healing, and old fracture) combined with fracture location (corresponding CT layers) were detected automatically and delivered in a structured report. Precision, recall, and F1-score were selected as metrics to measure the optimum CNN model. Detection/diagnosis time, precision, and sensitivity were employed to compare the diagnostic efficiency of the structured report and that of experienced radiologists. Results: A total of 25054 annotations (fresh fracture, 10089; healing fracture, 10922; old fracture, 4043) were labelled for training (18584) and validation (6470). The detection efficiency was higher for fresh fractures and healing fractures than for old fractures (F1-scores, 0.849, 0.856, 0.770, respectively, p = 0.023 for each), and the robustness of the model was good in the five multicenter/multiparameter validation sets (all mean F1-scores > 0.8 except validation set 5 [512 x 512 pixels; F1-score = 0.757]). The precision of the five radiologists improved from 80.3% to 91.1%, and the sensitivity increased from 62.4% to 86.3% with artificial intelligence-assisted diagnosis. On average, the diagnosis time of the radiologists was reduced by 73.9 seconds. Conclusion: Our CNN model for automatic rib fracture detection could assist radiologists in improving diagnostic efficiency, reducing diagnosis time and radiologists’ workload.