Person: Zhang, Xianming
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Zhang
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Xianming
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Zhang, Xianming
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Publication Neuropeptide Y Promoter Polymorphism Modifies Effects of a Weight-Loss Diet on 2-Year Changes of Blood Pressure: The Preventing Overweight Using Novel Dietary Strategies Trial(Ovid Technologies (Wolters Kluwer Health), 2012) Zhang, Xianming; Qi, Q.; Liang, Jun; Hu, Frank; Sacks, Frank; Qi, L.Neuropeptide Y (NPY) is implicated in the regulation of blood pressure (BP), and NPY pathways in the hypothalamus are sensitive to dietary fat. We evaluated the potential effect of a functional variant rs16147 located in the NPY gene promoter region on the association between 2-year diet intervention and change in multiple BP measures in the randomized Preventing Overweight Using Novel Dietary Strategies Trial. The NPY rs16147 was genotyped in 723 obese adults who were randomly assigned to 1 of 4 diets differing in the target percentages of energy derived from fat, protein, and carbohydrate. The changes of 4 BP phenotypes, including systolic BP, diastolic BP, pulse pressure, and mean arterial pressure, during 2-year diet intervention were analyzed. In the total participants and participants with hypertension, we observed significant and consistent interactions between rs16147 genotype and dietary fat intake on changes in multiple BP phenotypes at 2 years (all P for interactions <0.05). The risk allele (C allele) was associated with a greater reduction of BP phenotypes in response to low-fat diet, whereas an opposite genetic effect was observed in response to high-fat diet. In addition, the C allele was related to greater changes in 4 BP phenotypes in hypertensive compared with nonhypertensive participants. Our data suggest that NPY rs16147 may modulate the association between dietary fat intake and changes in BP phenotypes, and the C allele exerts a long-term beneficial effect on lowering BP in response to low-fat diet in obese and hypertensive subjects.Publication Source Attribution of Poly- and Perfluoroalkyl Substances (PFASs) in Surface Waters from Rhode Island and the New York Metropolitan Area(American Chemical Society (ACS), 2016) Zhang, Xianming; Lohmann, Rainer; Dassuncao, Clifton; Hu, Cindy; Tokranov, Andrea; Vecitis, Chad; Sunderland, ElynorExposure to poly- and perfluoroalkyl substances (PFASs) has been associated with adverse health effects in humans and wildlife. Understanding pollution sources is essential for environmental regulation, but source attribution for PFASs has been confounded by limited information about industrial releases and rapid changes in chemical production. Here we use principal component analysis (PCA), hierarchical clustering, and geospatial analysis to understand source contributions to 14 PFASs measured across 37 sites in the northeastern United States in 2014. PFASs are significantly elevated in urban areas compared to rural sites except for perfluorobutanesulfonate, N-methyl perfluorooctanesulfonamidoacetic acid, perfluoroundecanate, and perfluorododecanate. The highest PFAS concentrations across sites were those of perfluorooctanate (PFOA, 56 ng L−1) and perfluorohexanesulfonate (PFHxS, 43 ng L−1), and perfluorooctanesulfonate (PFOS) levels are lower than earlier measurements of U.S. surface waters. PCA and cluster analysis indicate three main statistical groupings of PFASs. Geospatial analysis of watersheds reveals the first component/cluster originates from a mixture of contemporary point sources such as airports and textile mills. Atmospheric sources from the waste sector are consistent with the second component, and the metal smelting industry plausibly explains the third component. We find this source-attribution technique is effective for better understanding PFAS sources in urban areas.