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Qiu-Yan Chen,Qing-Nan Tang,Lin-Quan Tang,Wen-Hui Chen,Shan-Shan Guo,Li-Ting Liu,Chao-Feng Li,Yang Li,Yu-Jing Liang,Xue-Song Sun,Ling Guo,Hao-Yuan Mo,Rui Sun,Dong-Hua Luo,Yu-Ying Fan,Yan He,Ming-Yuan C 대한암학회 2018 Cancer Research and Treatment Vol.50 No.3
Purpose The measuring Epstein-Barr virus (EBV) DNA is an important predictor of nasopharyngeal carcinoma (NPC). This study evaluated the predictive value of pretreatment serum amyloid A (SAA) and C-reactive protein (CRP) comparing with EBV DNA in patients with NPC. Materials and Methods In an observational study of 419 non-metastatic NPC patients, we prospectively evaluated the prognostic effects of pretreatment SAA, CRP, and EBV DNA on survival. The primary endpoint was progress-free survival (PFS). Results The median level of SAA and CRP was 4.28 mg/L and 1.88 mg/L, respectively. For the high- SAA group (> 4.28 mg/L) versus the low-SAA ( 4.28 mg/L) group and the high-CRP group (> 1.88 mg/L) versus the low-CRP ( 1.88 mg/L) group, the 5-year PFS was 64.5% versus 73.1% (p=0.013) and 65.2% versus 73.3% (p=0.064), respectively. EBV DNA detection showed a superior predictive result, the 5-year PFS in the EBV DNA 1,500 copies/mL group was obviously different than the EBV DNA < 1,500 copies/mL group (62.2% versus 77.8%, p < 0.001). Multifactorial Cox regression analysis confirmed that in the PFS, the independent prognostic factors were including EBV DNA (hazard ratio [HR], 1.788; p=0.009), tumour stage (HR, 1.903; p=0.021), and node stage (HR, 1.498; p=0.049), but the SAA and CRP were not included in the independent prognostic factors. Conclusion The results of SAA and CRP had a certain relationship with the prognosis of NPC, and the prognosis of patients with high level of SAA and CRP were poor. However, the predictive ability of SAA and CRP was lower than that of EBV DNA.
Qiu-Yan Chen,Shao-Yan Guo,Lin-Quan Tang,Tong-Yu Lu,Bo-Lin Chen,Qi-Yu Zhong,Meng-Sha Zou,Qing-Nan Tang,Wen-Hui Chen,Shan-Shan Guo,Li-Ting Liu,Yang Li,Ling Guo,Hao-Yuan Mo,Rui Sun,Dong-Hua Luo,Chong Zha 대한암학회 2018 Cancer Research and Treatment Vol.50 No.3
Purpose Little is known about combination of the circulating Epstein-Barr viral (EBV) DNA and tumor volume in prognosis of stage II nasopharyngeal carcinoma (NPC) patients in the intensity modulated radiotherapy (IMRT) era. We conducted this cohort study to evaluate the prognostic values of combining these two factors. Materials and Methods By Kaplan-Meier, we compare the differences of survival curves between 385 patients with different EBV DNA or tumor volume levels, or with the combination of two biomarkers mentioned above. Results Gross tumor volume of cervical lymph nodes (GTVnd, p < 0.001) and total tumor volume (GTVtotal, p < 0.001) were both closely related to pretreatment EBV DNA, while gross tumor volume of nasopharynx (GTVnx, p=0.047) was weakly related to EBV DNA. EBV DNA was significantly correlated with progress-free survival (PFS, p=0.005), locoregional-free survival (LRFS, p=0.039), and distant metastasis-free survival (DMFS, p=0.017), while GTVtotal, regardless of GTVnx and GTVnd, had a significant correlation with PFS and LRFS. The p-values of GTVtotal for PFS and LRFS were 0.008 and 0.001, respectively. According to GTVtotal and pretreatment EBV DNA level, patients were divided into a low-risk group (EBV DNA 0 copy/mL, GTVtotal < 30 cm3; EBV DNA 0 copy/mL, GTVtotal 30 cm3; or EBV DNA > 0 copy/mL, GTVtotal < 30 cm3) and a high-risk group (EBV DNA > 0 copy/mL, GTVtotal 30 cm3). When patients in the low-risk group were compared with those in the high-risk group, 3-year PFS (p=0.003), LRFS (p=0.010), and DMFS (p=0.031) rates were statistically significant. Conclusion Pretreatment plasma EBV DNA and tumor volume were both closely correlated with prognosis of stage II NPC patients in the IMRT era. Combination of EBV DNA and tumor volume can refine prognosis and indicate for clinical therapy.
An Increase in Synaptic NMDA Receptors in the Insular Cortex Contributes to Neuropathic Pain
Qiu, Shuang,Chen, Tao,Koga, Kohei,Guo, Yan-yan,Xu, Hui,Song, Qian,Wang, Jie-jie,Descalzi, Giannina,Kaang, Bong-Kiun,Luo, Jian-hong,Zhuo, Min,Zhao, Ming-gao AAAS 2013 Science signaling Vol.6 No.275
<P><B>Stopping the Pain</B></P><P>Damage to the central or peripheral nervous system can trigger the development of neuropathic pain, which can manifest as painful sensations in response to stimuli that are not normally painful. Qiu <I>et al.</I> found that mice that had developed neuropathic pain after peripheral nerve injury showed changes in synaptic plasticity and increased abundance of synaptic NMDA receptors in the insular cortex, a region of the brain that is activated by acute and chronic pain. Using pharmacological inhibitors and transgenic mice, they mimicked these changes in vitro with insular cortical slices and thus identified the signaling pathway responsible. Mice injected with NMDA receptor inhibitors showed reduced behavioral signs of neuropathic pain after peripheral nerve injury. Thus, blocking NMDA receptor function in the insular cortex may prevent the development of neuropathic pain.</P>
Single Low-Light Ghost-Free Image Enhancement via Deep Retinex Model
( Yan Liu ),( Bingxue Lv ),( Jingwen Wang ),( Wei Huang ),( Tiantian Qiu ),( Yunzhong Chen ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.5
Low-light image enhancement is a key technique to overcome the quality degradation of photos taken under scotopic vision illumination conditions. The degradation includes low brightness, low contrast, and outstanding noise, which would seriously affect the vision of the human eye recognition ability and subsequent image processing. In this paper, we propose an approach based on deep learning and Retinex theory to enhance the low-light image, which includes image decomposition, illumination prediction, image reconstruction, and image optimization. The first three parts can reconstruct the enhanced image that suffers from low-resolution. To reduce the noise of the enhanced image and improve the image quality, a super-resolution algorithm based on the Laplacian pyramid network is introduced to optimize the image. The Laplacian pyramid network can improve the resolution of the enhanced image through multiple feature extraction and deconvolution operations. Furthermore, a combination loss function is explored in the network training stage to improve the efficiency of the algorithm. Extensive experiments and comprehensive evaluations demonstrate the strength of the proposed method, the result is closer to the real-world scene in lightness, color, and details. Besides, experiments also demonstrate that the proposed method with the single low-light image can achieve the same effect as multi-exposure image fusion algorithm and no ghost is introduced.
Suqi Chen,Jun Huang,Hui Qin,Rongqing Zhou,Yan Yang,Chuanfeng Qiu,Suyi Zhang 한국식품과학회 2021 Food Science and Biotechnology Vol.30 No.10
The differences of interaction between interphasemicrobial communities were evaluated caused bytwo kinds of Daqu, including conventional Daqu (CDQ)and fortified Daqu (FDQ). The community diversity,functional genera and metabolites in pit mud (PM) andZaopei (ZP) were investigated by polyphasic detectingapproaches. FDQ evolved the core microbial communityfitting Baijiu brewing faster than CDQ. Compared withCPM, the abundance of Aspergillus, Hyphopichia, andPenicillium in FPM were 1.54, 14.75, and 1.68 times, whilethat of Lactobacillus, Bacillus, Methanobrevibacter, andMethanosaeta were 2.13, 1.85, 6.35, and 3.36 times,respectively. Furthermore, the content of key flavor componentswas increased in ZP using FDQ. These resultssuggested the interaction between interphase microbialcommunities in various phases of Baijiu fermentationniches was significant influenced by Daqu. It can not onlyenhance the key volatiles in ZP but also evolve the communityto fit Baijiu fermentation by introducing functionalgenera to Daqu.
Guan, Yan-Ping,Yang, Xue-Xi,Yao, Guang-Yu,Qiu, Fei,Chen, Jun,Chen, Lu-Jia,Ye, Chang-Sheng,Li, Ming Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.1
Background: Genome-wide association studies (GWAS) have identified various genetic susceptibility loci for breast cancer based mainly on European-ancestry populations. Differing linkage disequilibrium patterns exist between European and Asian populations. Methods: Ten SNPs (rs2075555 in COL1A1, rs12652447 in FBXL17, rs10941679 in 5p12/MRPS30, rs11878583 in ZNF577, rs7166081 in SMAD3, rs16917302 in ZNF365, rs311499 in 20q13.3, rs1045485 in CASP8, rs12964873 in CDH1 and rs8170 in 19p13.1) were here genotyped in 1009 Chinese females (487 patients with breast cancer and 522 control subjects) using the Sequenom MassARRAY iPLEX platform. Association analysis based on unconditional logistic regression was carried out to determine the odds ratio (OR) and 95% confidence interval (95% CI) for each SNP. Stratification analyses were carried out based on the estrogen receptor (ER) and progesterone receptor (PR) status. Results: Among the 10 SNPs, rs10941679 showed significant association with breast cancer when differences between the case and control groups in this Han Chinese population were compared (30.09% GG, 45.4% GA and 23.7% AA; P = 0.012). Four SNPs (rs311499, rs1045485, rs12964873 and rs8170) showed no polymorphisms in our study. The remaining five SNPs showed no association with breast cancer in the present population. Immunohistochemical tests showed that rs2075555 was associated with ER status; the AA genotype showed greater association with ER negative than ER positive (OR = 0.54, 95% CI, 0.29-0.99; P = 0.046). AA of rs7166081 was also associated with ER status, but showed a greater association with ER positive than negative (OR = 1.59, 95% CI = 1.04-2.44; P = 0.031). However, no significant associations were found among the SNPs and PR status. Conclusion: In this study using a Han Chinese population, rs10941679 was the only SNP associated with breast cancer risk, indicating a difference between European and Chinese populations in susceptibility loci. Therefore, confirmation studies are necessary before utilization of these loci in Chinese.
Lei Chen,Kui-Po Yan,Xin-Can Liu,Wei Wang,Chao Li,Ming Li,Chun-Guang Qiu 대한약학회 2018 Archives of Pharmacal Research Vol.41 No.1
This study investigated the interaction amongvalsartan (VAL), TGF-b pathways, and long non-codingRNA (lncRNA) cardiac hypertrophy-related factor (CHRF)in doxorubicin (DOX)-induced heart failure (HF), andexplored their roles in DOX-induced HF progression. HFmice models in vivo were constructed by DOX induction. The expression of CHRF and TGF-b1 in hearts wasdetected, along with cardiac function, caspase-3 activity,and cell apoptosis. Primary myocardial cells were pretreatedwith VAL, followed by DOX induction in vitro forfunctional studies, including the detection of cell apoptosiswith terminal deoxynucleotidyl transferase dUTP nick-endlabeling and the expression of proteins associated withTGF-b1 pathways. HF models were established in vivo andin vitro. Expression of CHRF and TGF-b1 was up-regulated,and cell apoptosis and caspase-3 activity wereincreased in the hearts and cells of the HF models. VALsupplementation alleviated the cardiac dysfunction andinjury in the HF process. Moreover, overexpressed CHRFup-regulated TGF-b1, promoted myocardial cell apoptosis,and reversed VAL’s cardiac protective effect, while interferenceof CHRF (si-CHRF) did the opposite. Down-regulationof CHRF reversed the increased expression of TGFb1and the downstream proteins induced by pcDNA-TGFb1in HL-1 cells, while overexpression of CHRF reversedthe VAL’s cardiac protective effect in vivo. In conclusion,VAL regulates TGF-b pathways through lncRNA CHRF toimprove DOX-induced HF.
A finite-element analysis of the connecting bolts of slewing bearings based on the orthogonal method
Ming Qiu,Jiafei Yan,Binhai Zhao,Long Chen,Yaoxing Bai 대한기계학회 2012 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.26 No.3
This paper presents an analysis of the main factors affecting the performance of connecting bolts for slewing bearings. For double row four-point contact ball bearings, major factors include the preload, friction coefficient and height of the bushes. First, bolt connection performances with different levels of each factor are calculated with the finite element method (FEM). Then, the calculation results are analyzed with the orthogonal method. The analysis indicates that the preload is the most important factor affecting the bolt connection performance, followed, to a lesser degree, by the height of the bushes. The friction coefficient is the least important factor.