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Wei, Yongyue

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Wei

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Yongyue

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Wei, Yongyue
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    Global Metabolomic Profiling Reveals an Association of Metal Fume Exposure and Plasma Unsaturated Fatty Acids
    (Public Library of Science, 2013) Wei, Yongyue; Wang, Zhaoxi; Chang, Chiung-yu; Fan, Tianteng; Su, Li; Chen, Feng; Christiani, David
    Background: Welding-associated air pollutants negatively affect the health of exposed workers; however, their molecular mechanisms in causing disease remain largely unclear. Few studies have systematically investigated the systemic toxic effects of welding fumes on humans. Objectives: To explore the effects of welding fumes on the plasma metabolome, and to identify biomarkers for risk assessment of welding fume exposure. Methods: The two-stage, self-controlled exploratory study included 11 boilermakers from a 2011 discovery panel and 8 boilermakers from a 2012 validation panel. Plasma samples were collected pre- and post-welding fume exposure and analyzed by chromatography/mass spectrometry. Results: Eicosapentaenoic or docosapentaenoic acid metabolic changes post-welding were significantly associated with particulate (PM2.5) exposure (p<0.05). The combined analysis by linear mixed-effects model showed that exposure was associated with a statistically significant decline in metabolite change of eicosapentaenoic acid [(95% CI) = −0.013(−0.022∼−0.004); p = 0.005], docosapentaenoic acid n3 [(95% CI) = −0.010(−0.018∼−0.002); p = 0.017], and docosapentaenoic acid n6 [(95% CI) = −0.007(−0.013∼−0.001); p = 0.021]. Pathway analysis identified an association of the unsaturated fatty acid pathway with exposure (pStudy−2011 = 0.025; pStudy−2012 = 0.021; pCombined = 0.009). The functional network built by these fatty acids and their interactive genes contained significant enrichment of genes associated with various diseases, including neoplasms, cardiovascular diseases, and lipid metabolism disorders. Conclusions: High-dose exposure of metal welding fumes decreases unsaturated fatty acids with an exposure-response relationship. This alteration in fatty acids is a potential biological mediator and biomarker for exposure-related health disorders.
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    Thrombocytopenia Is Associated with Acute Respiratory Distress Syndrome Mortality: An International Study
    (Public Library of Science, 2014) Wang, Tiehua; Liu, Zhuang; Wang, Zhaoxi; Duan, Meili; Li, Gang; Wang, Shupeng; Li, Wenxiong; Zhu, Zhaozhong; Wei, Yongyue; Christiani, David; Li, Ang; Zhu, Xi
    Background: Early detection of the Acute Respiratory Distress Syndrome (ARDS) has the potential to improvethe prognosis of critically ill patients admitted to the intensive care unit (ICU). However, no reliable biomarkers are currently available for accurate early detection of ARDS in patients with predisposing conditions. Objectives: This study examined risk factors and biomarkers for ARDS development and mortality in two prospective cohort studies. Methods: We examined clinical risk factors for ARDS in a cohort of 178 patients in Beijing, China who were admitted to the ICU and were at high risk for ARDS. Identified biomarkers were then replicated in a second cohort of1,878 patients in Boston, USA. Results: Of 178 patients recruited from participating hospitals in Beijing, 75 developed ARDS. After multivariate adjustment, sepsis (odds ratio [OR]:5.58, 95% CI: 1.70–18.3), pulmonary injury (OR: 3.22; 95% CI: 1.60–6.47), and thrombocytopenia, defined as platelet count <80×103/µL, (OR: 2.67; 95% CI: 1.27–5.62)were significantly associated with increased risk of developing ARDS. Thrombocytopenia was also associated with increased mortality in patients who developed ARDS (adjusted hazard ratio [AHR]: 1.38, 95% CI: 1.07–1.57) but not in those who did not develop ARDS(AHR: 1.25, 95% CI: 0.96–1.62). The presence of both thrombocytopenia and ARDS substantially increased 60-daymortality. Sensitivity analyses showed that a platelet count of <100×103/µLin combination with ARDS provide the highest prognostic value for mortality. These associations were replicated in the cohort of US patients. Conclusions: This study of ICU patients in both China and US showed that thrombocytopenia is associated with an increased risk of ARDS and platelet count in combination with ARDS had a high predictive value for patient mortality.
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    Rare variants of large effect in BRCA2 and CHEK2 affect risk of lung cancer
    (Springer Nature, 2014) Wang, Yufei; McKay, James D; Rafnar, Thorunn; Wang, Zhaoming; Timofeeva, Maria N; Broderick, Peter; Zong, Xuchen; Laplana, Marina; Wei, Yongyue; Han, Younghun; Lloyd, Amy; Delahaye-Sourdeix, Manon; Chubb, Daniel; Gaborieau, Valerie; Wheeler, William; Chatterjee, Nilanjan; Thorleifsson, Gudmar; Sulem, Patrick; Liu, Geoffrey; Kaaks, Rudolf; Henrion, Marc; Kinnersley, Ben; Vallée, Maxime; LeCalvez-Kelm, Florence; Stevens, Victoria L; Gapstur, Susan M; Chen, Wei V; Zaridze, David; Szeszenia-Dabrowska, Neonilia; Lissowska, Jolanta; Rudnai, Peter; Fabianova, Eleonora; Mates, Dana; Bencko, Vladimir; Foretova, Lenka; Janout, Vladimir; Krokan, Hans E; Gabrielsen, Maiken Elvestad; Skorpen, Frank; Vatten, Lars Johan; Njølstad, Inger; Chen, Chu; Goodman, Gary; Benhamou, Simone; Vooder, Tonu; Välk, Kristjan; Nelis, Mari; Metspalu, Andres; Lener, Marcin; Lubiński, Jan; Johansson, Mattias; Vineis, Paolo; Agudo, Antonio; Clavel-Chapelon, Francoise; Bueno-de-Mesquita, H Bas; Trichopoulos, Dimitrios; Khaw, Kay-Tee; Johansson, Mikael; Weiderpass, Elisabete; Tjønneland, Anne; Riboli, Elio; Lathrop, Mark; Scelo, Ghislaine; Albanes, Demetrius; Caporaso, Neil E; Ye, Yuanqing; Gu, Jian; Wu, Xifeng; Spitz, Margaret R; Dienemann, Hendrik; Rosenberger, Albert; Su, Li; Matakidou, Athena; Eisen, Timothy; Stefansson, Kari; Risch, Angela; Chanock, Stephen J; Christiani, David; Hung, Rayjean J; Brennan, Paul; Landi, Maria Teresa; Houlston, Richard S; Amos, Christopher I
    We conducted imputation to the 1000 Genomes Project of four genome-wide association studies of lung cancer in populations of European ancestry (11,348 cases and 15,861 controls) and genotyped an additional 10,246 cases and 38,295 controls for follow-up. We identified large-effect genome-wide associations for squamous lung cancer with the rare variants BRCA2 p.Lys3326X (rs11571833, odds ratio (OR) = 2.47, P = 4.74 × 10−20) and CHEK2 p.Ile157Thr (rs17879961, OR = 0.38, P = 1.27 × 10−13). We also showed an association between common variation at 3q28 (TP63, rs13314271, OR = 1.13, P = 7.22 × 10−10) and lung adenocarcinoma that had been previously reported only in Asians. These findings provide further evidence for inherited genetic susceptibility to lung cancer and its biological basis. Additionally, our analysis demonstrates that imputation can identify rare disease-causing variants with substantive effects on cancer risk from preexisting genome-wide association study data.
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    A Large Scale Gene-Centric Association Study of Lung Function in Newly-Hired Female Cotton Textile Workers with Endotoxin Exposure
    (Public Library of Science, 2013) Zhang, Ruyang; Zhao, Yang; Chu, Minjie; Mehta, A; Wei, Yongyue; Liu, Yao; Xun, Pengcheng; Bai, Jianling; Yu, Hao; Su, Li; Zhang, Hongxi; Hu, Zhibin; Shen, Hongbing; Chen, Feng; Christiani, David
    Background: Occupational exposure to endotoxin is associated with decrements in pulmonary function, but how much variation in this association is explained by genetic variants is not well understood. Objective: We aimed to identify single nucleotide polymorphisms (SNPs) that are associated with the rate of forced expiratory volume in one second (FEV1) decline by a large scale genetic association study in newly-hired healthy young female cotton textile workers. Methods: DNA samples were genotyped using the Illumina Human CVD BeadChip. Change rate in FEV1 was modeled as a function of each SNP genotype in linear regression model with covariate adjustment. We controlled the type 1 error in study-wide level by permutation method. The false discovery rate (FDR) and the family-wise error rate (FWER) were set to be 0.10 and 0.15 respectively. Results: Two SNPs were found to be significant (P<6.29×\(10^{−5}\)), including rs1910047 (P = 3.07×\(10^{−5}\), FDR = 0.0778) and rs9469089 (P = 6.19×\(10^{−5}\), FDR = 0.0967), as well as other eight suggestive (P<5×\(10^{−4}\)) associated SNPs. Gene-gene and gene-environment interactions were also observed, such as rs1910047 and rs1049970 (P = 0.0418, FDR = 0.0895); rs9469089 and age (P = 0.0161, FDR = 0.0264). Genetic risk score analysis showed that the more risk loci the subjects carried, the larger the rate of FEV1 decline occurred (Ptrend = 3.01×\(10^{−18}\)). However, the association was different among age subgroups (P = 7.11×\(10^{−6}\)) and endotoxin subgroups (P = 1.08×\(10^{−2}\)). Functional network analysis illustrates potential biological connections of all interacted genes. Conclusions: Genetic variants together with environmental factors interact to affect the rate of FEV1 decline in cotton textile workers.