Search

Your search keyword '"Wei, Qingyi"' showing total 1,563 results
Start Over Author "Wei, Qingyi" Language english
1,563 results on '"Wei, Qingyi"'

11. Development, validation, and evaluation of a risk assessment tool for personalized screening of gastric cancer in Chinese populations

Author

Zhu, Xia, Lv, Jun, Zhu, Meng, Yan, Caiwang, Deng, Bin, Yu, Canqing, Guo, Yu, Ni, Jing, She, Qiang, Wang, Tianpei, Wang, Jiayu, Jiang, Yue, Chen, Jiaping, Hang, Dong, Song, Ci, Gao, Xuefeng, Wu, Jian, Dai, Juncheng, Ma, Hongxia, Yang, Ling, Chen, Yiping, Song, Mingyang, Wei, Qingyi, Chen, Zhengming, Hu, Zhibin, Shen, Hongbing, Ding, Yanbing, Li, Liming, and Jin, Guangfu

Published
2023
Full Text
View/download PDF

14. Detection of 17β-Estradiol in Foods by a Fluorescence Aptasensor Based on Gold Nanoparticles

Author

WEI Qingyi, LIN Xuanran, ZHANG Peiyao, SUN Da-wen, PU Hongbin

Subjects
carbon quantum dots, gold nanoparticles, 17β-estradiol, aptasensor, milk, Food processing and manufacture, TP368-456
Abstract

A fluorescent aptasensor was constructed for the high-sensitivity and high-selectivity detection of 17β-estradiol (E2) based on the fluorescence quenching effect of gold nanoparticles (AuNPs) on carbon quantum dots (CQDs) and the specific affinity of aptamers to targets. Under the optimal conditions (particle size of AuNPs = 39 nm, AuNPs amount = 200 μL, quenching time = 20 min, and fluorescence recovery time = 60 min), a good linear relationship was observed between the fluorescence recovery degree (y) of the sensor and the logarithmic value (x) of E2 concentration (2 × 10-5–2 × 10-9 mol/L), which was fitted with the following equation: y = 58.50x + 558.95 with a determination coefficient (R2) of 0.992. The detection of limit (LOD) of E2 was 3.4 × 10-10 mol/L. Finally, the aptasensor was successfully applied to the detection of E2 spiked in milk and environmental water samples with good recoveries of 89.67%‒113.36%, suggesting the potential for practical application.

Published
2023
Full Text
View/download PDF

15. Surface-enhanced Raman Scattering Detection of Triazophos Based on Fe3O4@MIL-100(Fe)@Ag NPs

Author

YANG Nengjing, ZHU Haofan, WEI Qingyi, SUN Da-wen, PU Hongbin

Subjects
surface-enhanced raman scattering, metal-organic frameworks, fe3o4@mil-100(fe)@ag nps, triazophos, Food processing and manufacture, TP368-456
Abstract

A core-shell-satellite nanostructure surface-enhanced Raman scattering (SERS) substrate based on magnetic nanoparticles, metal-organic frameworks (MOFs) and gold nanoparticles (Ag NPs) was established and applied in the simple, rapid and sensitive detection of the organophosphorus pesticide triazophos in agricultural products. MIL-100(Fe)-coated Fe3O4 was prepared by low-temperature cyclic self-assembly method, and Ag NPs were in-situ grown on the surface of MIL-100(Fe)-coated Fe3O4 by silver mirror cycling. The SERS sensing of triazophos residues in apples was carried out. The logarithmic value (Y) of the characteristic peak intensity of triazophos was linearly related to the logarithmic value (X) of its concentration in the range of 0.05–10 mg/L, which was described by the following equation: Y = 0.573 8X + 2.804 (R2 = 0.980). The limit of detection (LOD) was as low as 11.9 mg/L. The recoveries of the developed method ranged from 90.07% to 103.27% at spiked concentrations of 2, 5, and 10 mg/L. Therefore, the prepared SERS substrate has great potential for application in the detection of pesticide residues in foods.

Published
2023
Full Text
View/download PDF

30. Deciphering associations between three RNA splicing-related genetic variants and lung cancer risk

Author

Yang, Wenjun, Liu, Hongliang, Zhang, Ruoxin, Freedman, Jennifer A., Han, Younghun, Hung, Rayjean J., Brhane, Yonathan, McLaughlin, John, Brennan, Paul, Bickeboeller, Heike, Rosenberger, Albert, Houlston, Richard S., Caporaso, Neil E., Landi, Maria Teresa, Brueske, Irene, Risch, Angela, Christiani, David C., Amos, Christopher I., Chen, Xiaoxin, Patierno, Steven R., and Wei, Qingyi

Published
2022
Full Text
View/download PDF

33. Potentially functional variants of PARK7 and DDR2 in ferroptosis‐related genes predict survival of non‐small cell lung cancer patients.

Author

Wang, Huilin, Liu, Hongliang, Tang, Xiaozhun, Lu, Guojun, Luo, Sheng, Du, Mulong, Christiani, David C., and Wei, Qingyi

Subjects
LOCUS (Genetics), GENE expression, GENETIC variation, PROPORTIONAL hazards models, DISCOIDIN domain receptor 2
Abstract

Ferroptosis, a form of regulated cell death, is characterized by iron‐dependent lipid peroxidation. It is recognized increasingly for its pivotal role in both cancer development and the response to cancer treatments. We assessed associations between 370,027 single‐nucleotide polymorphisms (SNPs) within 467 ferroptosis‐related genes and survival of non‐small cell lung cancer (NSCLC) patients. Data from the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial served as our discovery dataset, while the Harvard Lung Cancer Susceptibility Study used as our validation dataset. For SNPs that remained statistically significantly associated with overall survival (OS) in both datasets, we employed a multivariable stepwise Cox proportional hazards regression model with the PLCO dataset. Ultimately, two independent SNPs, PARK7 rs225120 C>T and DDR2 rs881127 T>C, were identified with adjusted hazard ratios of 1.32 (95% confidence interval = 1.15–1.52, p =.0001) and 1.34 (95% confidence interval = 1.09–1.64, p =.006) for OS, respectively. We aggregated these two SNPs into a genetic score reflecting the number of unfavorable genotypes (NUG) in further multivariable analysis, revealing a noteworthy association between increased NUG and diminished OS (ptrend =.001). Additionally, an expression quantitative trait loci analysis indicated that PARK7 rs225120T genotypes were significantly associated with higher PARK7 mRNA expression levels in both whole blood and normal lung tissue. Conversely, DDR2 rs881127C genotypes were significantly associated with lower DDR2 mRNA expression levels in normal lung tissue. Our findings suggest that genetic variants in the ferroptosis‐related genes PARK7 and DDR2 are associated with NSCLC survival, potentially through their influence on gene expression levels. [ABSTRACT FROM AUTHOR]

Published
2025
Full Text
View/download PDF

37. Potentially functional variants of ERRFI1 in hypoxia‐related genes predict survival of non‐small cell lung cancer patients.

Author

Wang, Huilin, Liu, Hongliang, Lu, Guojun, Tang, Xiaozhun, Luo, Sheng, Du, Mulong, Christiani, David C., and Wei, Qingyi

Subjects
LOCUS (Genetics), GENE expression, GENETIC variation, GENETIC polymorphisms, LUNG cancer
Abstract

Background: Hypoxia is often involved in tumor microenvironment, and the hypoxia‐induced signaling pathways play a key role in aggressive cancer phenotypes, including angiogenesis, immune evasion, and therapy resistance. However, it is unknown what role genetic variants in the hypoxia‐related genes play in survival of patients with non‐small cell lung cancer (NSCLC). Methods: We evaluated the associations between 16,092 single‐nucleotide polymorphisms (SNPs) in 182 hypoxia‐related genes and survival outcomes of NSCLC patients. Data from the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial were used as the discovery dataset, and the Harvard Lung Cancer Susceptibility (HLCS) Study served as the replication dataset. We also performed additional linkage disequilibrium analysis and a stepwise multivariable Cox proportional hazards regression analysis in the PLCO dataset. Results: An independent SNP, ERRFI1 rs28624 A > C, was identified with an adjusted hazards ratio (HR) of 1.31 (95% CI = 1.14–1.51, p = 0.0001) for overall survival (OS). In further analyses, unfavorable genotypes AC and CC, compared with the AA genotype, were associated a worse OS (HR = 1.20, 95% CI = 1.03–1.39, p = 0.014) and disease‐specific survival (HR = 1.21, 95% CI = 1.04–1.42, p = 0.016). Further expression quantitative trait loci analysis indicated that ERRFI1 rs28624C genotypes were significantly associated with higher ERRFI1 mRNA expression levels in the whole blood. Additional analysis showed that high ERRFI1 mRNA expression levels were associated with a worse OS in patients with lung adenocarcinoma. Conclusion: Our findings suggest that genetic variants in the hypoxia‐related gene ERRFI1 may modulate NSCLC survival, potentially through their effect on the gene expression. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

38. Genetic risk, incident gastric cancer, and healthy lifestyle: a meta-analysis of genome-wide association studies and prospective cohort study

Author

Jin, Guangfu, Lv, Jun, Yang, Ming, Wang, Mengyun, Zhu, Meng, Wang, Tianpei, Yan, Caiwang, Yu, Canqing, Ding, Yanbing, Li, Gang, Ren, Chuanli, Ni, Jing, Zhang, Ruoxin, Guo, Yu, Bian, Zheng, Zheng, Yan, Zhang, Nasha, Jiang, Yue, Chen, Jiaping, Wang, Yanong, Xu, Dazhi, Zheng, Hong, Yang, Ling, Chen, Yiping, Walters, Robin, Millwood, Iona Y, Dai, Juncheng, Ma, Hongxia, Chen, Kexin, Chen, Zhengming, Hu, Zhibin, Wei, Qingyi, Shen, Hongbing, and Li, Liming

Published
2020
Full Text
View/download PDF

45. Genome-wide association and functional interrogation identified a variant at 3p26.1 modulating ovarian cancer survival among Chinese women

Author

Dai, Hongji, Chu, Xinlei, Liang, Qian, Wang, Mengyun, Li, Lian, Zhou, Yao, Zheng, Zhanye, Wang, Wei, Wang, Zhao, Li, Haixin, Wang, Jianhua, Zheng, Hong, Zhao, Yanrui, Liu, Luyang, Yao, Hongcheng, Luo, Menghan, Wang, Qiong, Kang, Shan, Li, Yan, Wang, Ke, Song, Fengju, Zhang, Ruoxin, Wu, Xiaohua, Cheng, Xi, Zhang, Wei, Wei, Qingyi, Li, Mulin Jun, and Chen, Kexin

Published
2021
Full Text
View/download PDF

48. Identification of risk loci and a polygenic risk score for lung cancer: a large-scale prospective cohort study in Chinese populations

Author

Dai, Juncheng, Lv, Jun, Zhu, Meng, Wang, Yuzhuo, Qin, Na, Ma, Hongxia, He, Yong-Qiao, Zhang, Ruoxin, Tan, Wen, Fan, Jingyi, Wang, Tianpei, Zheng, Hong, Sun, Qi, Wang, Lijuan, Huang, Mingtao, Ge, Zijun, Yu, Canqing, Guo, Yu, Wang, Tong-Min, Wang, Jie, Xu, Lin, Wu, Weibing, Chen, Liang, Bian, Zheng, Walters, Robin, Millwood, Iona Y, Li, Xi-Zhao, Wang, Xin, Hung, Rayjean J, Christiani, David C, Chen, Haiquan, Wang, Mengyun, Wang, Cheng, Jiang, Yue, Chen, Kexin, Chen, Zhengming, Jin, Guangfu, Wu, Tangchun, Lin, Dongxin, Hu, Zhibin, Amos, Christopher I, Wu, Chen, Wei, Qingyi, Jia, Wei-Hua, Li, Liming, and Shen, Hongbing

Published
2019
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results