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Your search keyword '"Chen, Weiguo"' showing total 81 results
Start Over Author "Chen, Weiguo" Publisher elsevier bv
81 results on '"Chen, Weiguo"'

11. Combined Estrogen Receptor and Progesterone Receptor Level Can Predict Survival Outcome in Human Epidermal Growth Factor Receptor 2-positive Early Breast Cancer

Author

Chen, Mengdi, primary, Wu, Jiayi, additional, Liu, Deyue, additional, Chen, Weilin, additional, Lin, Caijin, additional, Andriani, Lisa, additional, Ding, Shuning, additional, Huang, Ou, additional, He, Jianrong, additional, Chen, Xiaosong, additional, Chen, Weiguo, additional, Li, Yafen, additional, Shen, Kunwei, additional, and Zhu, Li, additional

Published
2022
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13. NDIR CO2 gas sensing using CMOS compatible MEMS ScAlN-based pyroelectric detector

Author

Ng, Doris Keh Ting, primary, Ho, Chong Pei, additional, Xu, Linfang, additional, Chen, Weiguo, additional, Fu, Yuan Hsing, additional, Zhang, Tantan, additional, Siow, Li Yan, additional, Jaafar, Norhanani, additional, Ng, Eldwin Jiaqiang, additional, Gao, Yuan, additional, Cai, Hong, additional, Zhang, Qingxin, additional, and Lee, Lennon Yao Ting, additional

Published
2021
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18. B-type natriuretic peptide attenuates endoplasmic reticulum stress in H9c2 cardiomyocytes underwent hypoxia/reoxygenation injury under high glucose/high fat conditions

Author

Minggang Ren, Wu Juan, Pan Chang, Guohua Li, Haiyan Hu, Mingyang Zhang, Miao-Zhang Zhu, Li Xin, Zhang Jing, Jun Yu, Bao-Ying Chen, Wang Xihui, Zihua Yang, Chen Weiguo, and Xiaomeng Zhang

Subjects
medicine.medical_specialty, Physiology, Apoptosis, Myocardial Reperfusion Injury, 030209 endocrinology & metabolism, Biochemistry, Cell Line, 03 medical and health sciences, Cellular and Molecular Neuroscience, chemistry.chemical_compound, 0302 clinical medicine, Endocrinology, Internal medicine, Natriuretic Peptide, Brain, medicine, Animals, Myocytes, Cardiac, Protein kinase A, Cardioprotection, biology, Chemistry, Endoplasmic reticulum, Tauroursodeoxycholic acid, Endoplasmic Reticulum Stress, Flow Cytometry, Dietary Fats, Protein kinase R, Rats, Glucose, cardiovascular system, Unfolded protein response, biology.protein, Creatine kinase, cGMP-dependent protein kinase, 030217 neurology & neurosurgery, Signal Transduction
Abstract

Exogenously administered B-type natriuretic peptide (BNP) has been shown to provide cardioprotection against various heart diseases. However, the underlying mechanisms remain elusive. This study explores whether BNP exerts its cardioprotection against hypoxia/reoxygenation (H/R) injury under high glucose/high fat (HG/HF) conditions in cardiac H9c2 cells and uncovers the underlying mechanisms. Our data revealed that BNP significantly increased the cell viability and decreased the release of lactate dehydrogenase (LDH) and creatine kinase (CK), with a maximal effect at the BNP concentration of 10−7 mol/L. In addition, by analyzing the activation of cleaved caspase-3 and by Annexin V-FITC/PI staining, we showed that BNP attenuated H/R-induced cell apoptosis in HG/HF conditions. Western blot analysis showed enhanced phosphorylation of protein kinase RNA (PKR)-like endoplastmic reticulum (ER) kinase (PERK) and eukaryotic initiation factor 2α (eIF2α)(one of the three main signaling pathways in endoplastmic reticulum (ER) stress), and increased expression of GRP78 and CHOP proteins (ER stress-related proteins) in H9c2 cells which underwent H/R in HG/HF conditions. Treatment with BNP or 8-Br-cGMP (an analog of cGMP) reversed this activation. However, this effect was significantly weakened by KT-5823, a selective cGMP-dependent protein kinase G (PKG) inhibitor. In addition, similar to BNP, treatment with a specific inhibitor of ER stress tauroursodeoxycholic acid (TUDCA) protected the cells against H/R injury exposed to HG/HF conditions. In conclusion, these findings demonstrated that BNP effectively protected cells against H/R injury under HG/HF conditions by inhibiting the ER stress via activation of the cGMP-PKG signaling pathway.

Published
2019

23. Reactive dyeing of synthetic fibers employing dyes containing a diazirine moiety

Author

Guo Guangluo, Cui Zhihua, Chen Weiguo, and Jiang Hua

Subjects
Materials science, Process Chemistry and Technology, General Chemical Engineering, Aramid, Solvent, chemistry.chemical_compound, Synthetic fiber, chemistry, Covalent bond, Diazirine, Polymer chemistry, Moiety, Dyeing, Polyurethane
Abstract

It is well-known that polypropylene (PP) or aramid fibers are challenging to dye by using conventional dyeing methods, which limits their further development in the textile and garment industry. Herein, we report a new methodology for deep dyeing synthetic fibers employing synthesized diazirine-containing dyestuffs. The combination of the diazirine moiety with a chromophore with heating at 150 °C produced the dye-forming carbene intermediate, which could covalently bond with the C–H bonds in the synthetic fibers. It was demonstrated that the diazirine dyes did not pose any explosive risk, although nitrogen molecules were generated along with the formation of carbene. Compared with the high-temperature–high-pressure dyeing and carrier dyeing-fixation methods, the non-aqueous solvent dyeing–fixation method was screened and certified to be suitable for the reactive dyeing of synthetic fibers. The diazirine-based dyes could efficiently react with poly (ethyleneterephthalate), nylon, PP, aramid, acrylic, and polyurethane (spandex) fibers with moderate to excellent fixation values. Particularly, the color yields of the PP, aramid, and acrylic fabrics were further improved significantly by repeating the non-aqueous solvent dyeing–fixation operation. Thereafter, the detailed dyeing and fixing mechanisms of the reactive dyeing method were proposed. Finally, the color fastness properties of these dyed fabrics were demonstrated to be excellent, thus making such a reactive dyeing method for synthetic fibers a very promising one for the future.

Published
2021

31. Vasonatrin peptide, a synthetic natriuretic peptide, attenuates myocardial injury and oxidative stress in isoprenaline-induced cardiomyocyte hypertrophy

Author

Jianbang Wang, Wang Xihui, Jun Yu, Pan Chang, Xiao-ling Zhu, Chen Weiguo, Zhang Jing, and Xiaomeng Zhang

Subjects
Cardiotonic Agents, Physiology, medicine.drug_class, Primary Cell Culture, Cardiomegaly, Myocardial Reperfusion Injury, 030209 endocrinology & metabolism, Pharmacology, medicine.disease_cause, Biochemistry, Superoxide dismutase, Mice, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, Endocrinology, In vivo, Isoprenaline, Natriuretic peptide, Animals, Humans, Medicine, Myocytes, Cardiac, Cyclic GMP, biology, Superoxide Dismutase, business.industry, Myocardium, Isoproterenol, medicine.disease, Rats, Oxidative Stress, Animals, Newborn, Apoptosis, Heart failure, cardiovascular system, biology.protein, business, Reperfusion injury, Atrial Natriuretic Factor, 030217 neurology & neurosurgery, Oxidative stress, Signal Transduction, medicine.drug
Abstract

Isoprenaline-induced cardiac hypertrophy can deteriorate to heart failure, which is a leading cause of mortality. Endogenous vasonatrin peptide (VNP) has been reported to be cardioprotective against myocardial ischemia/reperfusion injury in diabetic rats. However, little is known about the effect of exogenous VNP on cardiac hypertrophy. We further explored whether VNP attenuated isoprenaline-induced cardiomyocyte hypertrophy by examining the levels and activities of cGMP and PKG. In this study, we found that VNP significantly attenuated isoprenaline-induced myocardial hypertrophy and cardiac fibroblast activation in vivo. Moreover, VNP effectively halted the activation of apoptosis and oxidative stress in the isoprenaline-treated myocardium. VNP promoted superoxide dismutase (SOD) activity. Further study revealed that the protective effects of VNP might be mediated by the activity of the cGMP-PKG signaling pathway in vivo or in vitro, while the use of agonists and antagonists confirmed these results. Therefore, we demonstrated that the antiapoptosis and antioxidative stress effects of VNP depends on elevated cGMP-PKG signaling activity both in vivo and in vitro. These results suggest that VNP may be used in the treatment of myocardial hypertrophy.

Published
2021

32. Establishment and evaluation of a multicenter collaborative prediction model construction framework supporting model generalization and continuous improvement: A pilot study

Author

Kefeng Ding, Yu Tian, Chen Weiguo, Tianshu Zhou, Jing-Song Li, and Jun Li

Subjects
020205 medical informatics, Computer science, Pilot Projects, Health Informatics, 02 engineering and technology, Machine learning, computer.software_genre, 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, Electronic Health Records, Humans, Generalizability theory, 030212 general & internal medicine, Reference model, Receiver operating characteristic, business.industry, Prognosis, ROC Curve, Informatics, Observational study, Artificial intelligence, Transfer of learning, business, computer, Classifier (UML), Algorithms, Predictive modelling
Abstract

Background and Objective In recent years, an increasing number of clinical prediction models have been developed to serve clinical care. Establishing a data-driven prediction model based on large-scale electronic health record (EHR) data can provide a more empirical basis for clinical decision making. However, research on model generalization and continuous improvement is insufficiently focused, which also hinders the application and evaluation of prediction models in real clinical environments. Therefore, this study proposes a multicenter collaborative prediction model construction framework to build a prediction model with greater generalizability and continuous improvement capabilities while preserving patient data security and privacy. Materials and Methods Based on a multicenter collaborative research network, such as the Observational Health Data Sciences and Informatics (OHDSI), a multicenter collaborative prediction model construction framework is proposed. Based on the idea of multi-source transfer learning, in each source hospital, a base classifier was trained according to the model research setting. Then, in the target hospital with missing calibration data, a prediction model was established through weighted integration of base classifiers from source hospitals based on the smoothness assumption. Moreover, a passive-aggressive online learning algorithm was used for continuous improvement of the prediction model, which can help to maintain a high predictive performance to provide reliable clinical decision-making abilities. To evaluate the proposed prediction model construction framework, a prototype system for colorectal cancer prognosis prediction was developed. To evaluate the performance of models, 70,906 patients were screened, including 70,090 from 5 US hospital-specific datasets and 816 from a Chinese hospital-specific dataset. The area under the receiver operating characteristic curve (AUC) and the estimated calibration index (ECI) were used to evaluate the discrimination and calibration of models. Results Regarding the colorectal cancer prognosis prediction in our prototype system, compared with the reference models, our model achieved a better performance in model calibration (ECI = 9.294 [9.146, 9.441]) and a similar ability in model discrimination (AUC = 0.783 [0.780, 0.786]). Furthermore, the online learning process provided in this study can continuously improve the performance of the prediction model when patient data with specified labels arrive (the AUC value increased from 0.709 to 0.715 and the ECI value decreased from 13.013 to 9.634 after 650 patient instances with specified labels from the Chinese hospital arrived), enabling the prediction model to maintain a good predictive performance during clinical application. Conclusions This study proposes and evaluates a multicenter collaborative prediction model construction framework that can support the construction of prediction models with better generalizability and continuous improvement capabilities without the need to aggregate multicenter patient-level data.

Published
2020

33. Synthesis and application of urethane-containing azo disperse dyes on polyamide fabrics

Author

Gaofeng Feng, Hong-Fei Qian, Chen Weiguo, Yuqiu Guo, and Shuaijun Fang

Subjects
Polyamide fibers, Process Chemistry and Technology, General Chemical Engineering, 02 engineering and technology, Carbon-13 NMR, 010402 general chemistry, 021001 nanoscience & nanotechnology, 01 natural sciences, Isocyanate, 0104 chemical sciences, chemistry.chemical_compound, chemistry, Polyamide, Proton NMR, Sublimation (phase transition), Hypsochromic shift, 0210 nano-technology, Nuclear chemistry
Abstract

A series of new azo disperse dyes containing the urethane group were synthesized through the reaction between the hydroxyl group in coupling component of disperse dyes and p-toluene isocyanate. The structures of the new dyes were fully confirmed by 1H NMR, 13C NMR, FT-IR, MS and Elemental analysis. Their characteristics for the visible-light absorption and color fastness on polyamide fibers were respectively measured and compared with those of the original dye. It was found that the new dyes exhibited hypsochromic effect, and had the nearly unchanged absorption half band and higher molar extinction coefficients, the fastness properties has been greatly improved, especially for the washing and sublimation fastness. The new dyes 2d and 2e containing double urethane groups possessed excellent fastness properties on polyamide fabrics. These two dyes for all the fastness tested, including water fastness, sublimation fastness, rubbing fastness and light fastness, had reached 4–5 and 5 rates. It was very clear that the introduction of urethane group and the increase of molecular weight can effectively improve the fastness of disperse dyes for the polyamide fibers.

Published
2020

38. B-type natriuretic peptide attenuates endoplasmic reticulum stress in H9c2 cardiomyocytes underwent hypoxia/reoxygenation injury under high glucose/high fat conditions

Author

Chang, Pan, primary, Zhang, Mingyang, additional, Zhang, Xiaomeng, additional, Li, Guohua, additional, Hu, Haiyan, additional, Wu, Juan, additional, Wang, Xihui, additional, Yang, Zihua, additional, Zhang, Jing, additional, Chen, Weiguo, additional, Ren, Minggang, additional, Li, Xin, additional, Zhu, Miaozhang, additional, Chen, Baoying, additional, and Yu, Jun, additional

Published
2019
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49. Genomic architecture of asthma differs by sex

Author

Mersha, Tesfaye B., primary, Martin, Lisa J., additional, Biagini Myers, Jocelyn M., additional, Kovacic, Melinda Butsch, additional, He, Hua, additional, Lindsey, Mark, additional, Sivaprasad, Umasundari, additional, Chen, Weiguo, additional, and Khurana Hershey, Gurjit K., additional

Published
2015
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