TY - JOUR
T1 - Metal mixtures in urban and rural populations in the US
T2 - The Multi-Ethnic Study of Atherosclerosis and the Strong Heart Study
AU - Pang, Yuanjie
AU - Peng, Roger D.
AU - Jones, Miranda R.
AU - Francesconi, Kevin A.
AU - Goessler, Walter
AU - Howard, Barbara V.
AU - Umans, Jason G.
AU - Best, Lyle G.
AU - Guallar, Eliseo
AU - Post, Wendy S.
AU - Kaufman, Joel D.
AU - Vaidya, Dhananjay
AU - Navas-Acien, Ana
N1 - Funding Information:
MESA was supported by contracts N01-HC-95159 through N01-HC-95167 , N01-HC-95169 , and R01-HL077612 from the National Heart, Lung, and Blood Institute ( NHLBI ). SHS was supported by grants HL41642 , HL41652 , HL41654 and HL65521 from NHLBI. Metal analyses in SHS and MESA were supported by R01HL090863 from NHLBI and by R01ES021367 from the National Institute of Environmental Health Sciences . M. R. Jones was supported by a National Cancer Institute ( NCI ) National Research Service Award ( T32CA009314 ).
Publisher Copyright:
© 2016 Elsevier Inc.
PY - 2016/5/1
Y1 - 2016/5/1
N2 - Background: Natural and anthropogenic sources of metal exposure differ for urban and rural residents. We searched to identify patterns of metal mixtures which could suggest common environmental sources and/or metabolic pathways of different urinary metals, and compared metal-mixtures in two population-based studies from urban/sub-urban and rural/town areas in the US: the Multi-Ethnic Study of Atherosclerosis (MESA) and the Strong Heart Study (SHS). Methods: We studied a random sample of 308 White, Black, Chinese-American, and Hispanic participants in MESA (2000-2002) and 277 American Indian participants in SHS (1998-2003). We used principal component analysis (PCA), cluster analysis (CA), and linear discriminant analysis (LDA) to evaluate nine urinary metals (antimony [Sb], arsenic [As], cadmium [Cd], lead [Pb], molybdenum [Mo], selenium [Se], tungsten [W], uranium [U] and zinc [Zn]). For arsenic, we used the sum of inorganic and methylated species (∑As). Results: All nine urinary metals were higher in SHS compared to MESA participants. PCA and CA revealed the same patterns in SHS, suggesting 4 distinct principal components (PC) or clusters (∑As-U-W, Pb-Sb, Cd-Zn, Mo-Se). In MESA, CA showed 2 large clusters (∑As-Mo-Sb-U-W, Cd-Pb-Se-Zn), while PCA showed 4 PCs (Sb-U-W, Pb-Se-Zn, Cd-Mo, ∑As). LDA indicated that ∑As, U, W, and Zn were the most discriminant variables distinguishing MESA and SHS participants. Conclusions: In SHS, the ∑As-U-W cluster and PC might reflect groundwater contamination in rural areas, and the Cd-Zn cluster and PC could reflect common sources from meat products or metabolic interactions. Among the metals assayed, ∑As, U, W and Zn differed the most between MESA and SHS, possibly reflecting disproportionate exposure from drinking water and perhaps food in rural Native communities compared to urban communities around the US.
AB - Background: Natural and anthropogenic sources of metal exposure differ for urban and rural residents. We searched to identify patterns of metal mixtures which could suggest common environmental sources and/or metabolic pathways of different urinary metals, and compared metal-mixtures in two population-based studies from urban/sub-urban and rural/town areas in the US: the Multi-Ethnic Study of Atherosclerosis (MESA) and the Strong Heart Study (SHS). Methods: We studied a random sample of 308 White, Black, Chinese-American, and Hispanic participants in MESA (2000-2002) and 277 American Indian participants in SHS (1998-2003). We used principal component analysis (PCA), cluster analysis (CA), and linear discriminant analysis (LDA) to evaluate nine urinary metals (antimony [Sb], arsenic [As], cadmium [Cd], lead [Pb], molybdenum [Mo], selenium [Se], tungsten [W], uranium [U] and zinc [Zn]). For arsenic, we used the sum of inorganic and methylated species (∑As). Results: All nine urinary metals were higher in SHS compared to MESA participants. PCA and CA revealed the same patterns in SHS, suggesting 4 distinct principal components (PC) or clusters (∑As-U-W, Pb-Sb, Cd-Zn, Mo-Se). In MESA, CA showed 2 large clusters (∑As-Mo-Sb-U-W, Cd-Pb-Se-Zn), while PCA showed 4 PCs (Sb-U-W, Pb-Se-Zn, Cd-Mo, ∑As). LDA indicated that ∑As, U, W, and Zn were the most discriminant variables distinguishing MESA and SHS participants. Conclusions: In SHS, the ∑As-U-W cluster and PC might reflect groundwater contamination in rural areas, and the Cd-Zn cluster and PC could reflect common sources from meat products or metabolic interactions. Among the metals assayed, ∑As, U, W and Zn differed the most between MESA and SHS, possibly reflecting disproportionate exposure from drinking water and perhaps food in rural Native communities compared to urban communities around the US.
KW - Biomarker
KW - Exposure sources
KW - Metals
KW - Statistical methods
KW - Urine
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U2 - 10.1016/j.envres.2016.02.032
DO - 10.1016/j.envres.2016.02.032
M3 - Article
C2 - 26945432
AN - SCOPUS:84960348173
SN - 0013-9351
VL - 147
SP - 356
EP - 364
JO - Environmental research
JF - Environmental research
ER -