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RISS 인기검색어
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- 저자 : Li-Wan Hsu (검색결과 5 건)
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Deubiquitination and Stabilization of PD-L1 by CSN5
Lim, Seung-Oe,Li, Chia-Wei,Xia, Weiya,Cha, Jong-Ho,Chan, Li-Chuan,Wu, Yun,Chang, Shih-Shin,Lin, Wan-Chi,Hsu, Jung-Mao,Hsu, Yi-Hsin,Kim, Taewan,Chang, Wei-Chao,Hsu, Jennifer L.,Yamaguchi, Hirohito,Ding Elsevier 2016 Cancer cell Vol.30 No.6
<P><B>Summary</B></P> <P>Pro-inflammatory cytokines produced in the tumor microenvironment lead to eradication of anti-tumor immunity and enhanced tumor cell survival. In the current study, we identified tumor necrosis factor alpha (TNF-α) as a major factor triggering cancer cell immunosuppression against T cell surveillance via stabilization of programmed cell death-ligand 1 (PD-L1). We demonstrated that COP9 signalosome 5 (CSN5), induced by NF-κB p65, is required for TNF-α-mediated PD-L1 stabilization in cancer cells. CSN5 inhibits the ubiquitination and degradation of PD-L1. Inhibition of CSN5 by curcumin diminished cancer cell PD-L1 expression and sensitized cancer cells to anti-CTLA4 therapy.</P> <P><B>Highlights</B></P> <P> <UL> <LI> TNF-α stabilizes cancer cell PD-L1 in response to chronic inflammation </LI> <LI> Activation of NF-κB by TNF-α induces CSN5 expression leading to PD-L1 stabilization </LI> <LI> CSN5 enzyme activity controls T cell suppression via PD-L1 deubiquitination </LI> <LI> Destabilization of PD-L1 by CSN5 inhibitor curcumin benefits anti-CTLA4 therapy </LI> </UL> </P> <P><B>Graphical Abstract</B></P> <P>[DISPLAY OMISSION]</P>
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Air Pollution Monitoring in Taiwan: An Application of Tethersonding in Coastal Central Taiwan
Cheng Wan-Li,Hsu C. H.,Huang J. D.,Shi J. L. Korean Society of Environmental Health 2005 한국환경보건학회지 Vol.31 No.3
The atmospheric transportation and dispersion processes of air pollutants are important issues in dealing with air pollution problems. Air pollutants originated from biological and anthropogenic activities are not only limited to the local emission sources, but could also be transported and dispersed to other regions by synoptic weather systems. Besides, the complexity of topography of central Taiwan helps accumulating air pollutants to promote high-concentration episodes. The techniques of tethersonding were applied to monitor the vertical profiles of winds, air temperatures and humidity, as well as to collect air samples, to be analyzed for pollutants $(O_3,\;NO_2,\;NO\;and\; NMHC)$ from the ground up to 1000m. A time period of about one week, 19-26 October 2002, was chosen as the sampling period due to the high frequency of episode occurrence in autumn based on the past records. Associating with the analysis of weather patterns, the atmospheric characteristics over high-concentration areas can be resolved in more detail. The result of the tethersonding studies showed that weak northerly sea breeze (with thickness about 300m) with low wind speed (about 1 to 2 m/sec) could help develop high ozone concentrations in the down-wind areas. It is also important to have a built-up aloft of precursors and ozone to develop high concentration on the previous day.
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Liu Ying,Zhang Xin,Zhang Li,Oliver Brian G,Wang Hong Guang,Liu Zhi Peng,Chen Zhi Hong,Wood Lisa,Hsu Alan Chen-Yu,Xie Min,McDonald Vanessa,Wan Hua Jing,Luo Feng Ming,Liu Dan,Li Wei Min,Wang Gang 대한천식알레르기학회 2022 Allergy, Asthma & Immunology Research Vol.14 No.4
Purpose: The molecular links between metabolism and inflammation that drive different inflammatory phenotypes in asthma are poorly understood. We aimed to identify the metabolic signatures and underlying molecular pathways of different inflammatory asthma phenotypes. Methods: In the discovery set (n = 119), untargeted ultra-high-performance liquid chromatography-mass spectrometry (UHPLC-MS) was applied to characterize the induced sputum metabolic profiles of asthmatic patients with different inflammatory phenotypes using orthogonal partial least-squares discriminant analysis (OPLS-DA), and pathway topology enrichment analysis. In the validation set (n = 114), differential metabolites were selected to perform targeted quantification. Correlations between targeted metabolites and clinical indices in asthmatic patients were analyzed. Logistic and negative binomial regression models were established to assess the association between metabolites and severe asthma exacerbations. Results: Seventy-seven differential metabolites were identified in the discovery set. Pathway topology analysis uncovered that histidine metabolism, glycerophospholipid metabolism, nicotinate and nicotinamide metabolism, linoleic acid metabolism as well as phenylalanine, tyrosine and tryptophan biosynthesis were involved in the pathogenesis of different asthma phenotypes. In the validation set, 24 targeted quantification metabolites were significantly expressed between asthma inflammatory phenotypes. Finally, adenosine 5′-monophosphate (adjusted relative risk [adj RR] = 1.000; 95% confidence interval [CI] = 1.000–1.000; P = 0.050), allantoin (adj RR = 1.000; 95% CI = 1.000–1.000; P = 0.043) and nicotinamide (adj RR = 1.001; 95% CI = 1.000–1.002; P = 0.021) were demonstrated to predict severe asthma exacerbation rates. Conclusions: Different inflammatory asthma phenotypes have specific metabolic profiles in induced sputum. The potential metabolic signatures may identify therapeutic targets in different inflammatory asthma phenotypes.
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Family History of Cancer and Head and Neck Cancer Risk in a Chinese Population
Huang, Yu-Hui Jenny,Lee, Yuan-Chin Amy,Li, Qian,Chen, Chien-Jen,Hsu, Wan-Lun,Lou, Pen-Jen,Zhu, Cairong,Pan, Jian,Shen, Hongbing,Ma, Hongxia,Cai, Lin,He, Baochang,Wang, Yu,Zhou, Xiaoyan,Ji, Qinghai,Zho Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.17
Background: The aim of this study was to investigate whether family history of cancer is associated with head and neck cancer risk in a Chinese population. Materials and Methods: This case-control study included 921 cases and 806 controls. Recruitment was from December 2010 to January 2015 in eight centers in East Asia. Controls were matched to cases with reference to sex, 5-year age group, ethnicity, and residence area at each of the centers. Results: We observed an increased risk of head and neck cancer due to first degree family history of head and neck cancer, but after adjustment for tobacco smoking, alcohol drinking and betel quid chewing the association was no longer apparent. The adjusted OR were 1.10 (95% CI=0.80-1.50) for family history of tobacco-related cancer and 0.96 (95%CI=0.75-1.24) for family history of any cancer with adjustment for tobacco, betel quid and alcohol habits. The ORs for having a first-degree relative with HNC were higher in all tobacco/alcohol subgroups. Conclusions: We did not observe a strong association between family history of head and neck cancer and head and neck cancer risk after taking into account lifestyle factors. Our study suggests that an increased risk due to family history of head and neck cancer may be due to shared risk factors. Further studies may be needed to assess the lifestyle factors of the relatives.
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