Environmental arsenic exposure and serum matrix metalloproteinase-9
The objective of this study was to evaluate the relationship between environmental arsenic exposure and serum matrix metalloproteinase (MMP)-9, a biomarker associated with cardiovascular disease and cancer. In a cross-sectional study of residents of Arizona, USA ( n =215) and Sonora, Mexico ( n =163...
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| Veröffentlicht in: | Journal of exposure science & environmental epidemiology 2013-03, Vol.23 (2), p.163-169 |
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| creator | Burgess, Jefferey L Kurzius-Spencer, Margaret O'Rourke, Mary Kay Littau, Sally R Roberge, Jason Meza-Montenegro, Maria Mercedes Gutiérrez-Millán, Luis Enrique Harris, Robin B |
| description | The objective of this study was to evaluate the relationship between environmental arsenic exposure and serum matrix metalloproteinase (MMP)-9, a biomarker associated with cardiovascular disease and cancer. In a cross-sectional study of residents of Arizona, USA (
n
=215) and Sonora, Mexico (
n
=163), drinking water was assayed for total arsenic, and daily drinking water arsenic intake was estimated. Urine was speciated for arsenic, and concentrations were adjusted for specific gravity. Serum was analyzed for MMP-9 using ELISA. Mixed model linear regression was used to assess the relation among drinking water arsenic concentration, drinking water arsenic intake, urinary arsenic sum of species (the sum of arsenite, arsenate, monomethylarsonic acid and dimethylarsinic acid), and MMP-9, controlling for autocorrelation within households. Drinking water arsenic concentration and intake were positively associated with MMP-9, both in crude analysis and after adjustment for gender, country/ethnicity, age, body mass index, current smoking, and diabetes. Urinary arsenic sum of species was positively associated with MMP-9 in multivariable analysis only. Using Akaike’s Information Criterion, arsenic concentration in drinking water provided a better fitting model of MMP-9 than either urinary arsenic or drinking water arsenic intake. In conclusion, arsenic exposure evaluated using all three exposure metrics was positively associated with MMP-9. |
| doi_str_mv | 10.1038/jes.2012.107 |
| format | Article |
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n
=163), drinking water was assayed for total arsenic, and daily drinking water arsenic intake was estimated. Urine was speciated for arsenic, and concentrations were adjusted for specific gravity. Serum was analyzed for MMP-9 using ELISA. Mixed model linear regression was used to assess the relation among drinking water arsenic concentration, drinking water arsenic intake, urinary arsenic sum of species (the sum of arsenite, arsenate, monomethylarsonic acid and dimethylarsinic acid), and MMP-9, controlling for autocorrelation within households. Drinking water arsenic concentration and intake were positively associated with MMP-9, both in crude analysis and after adjustment for gender, country/ethnicity, age, body mass index, current smoking, and diabetes. Urinary arsenic sum of species was positively associated with MMP-9 in multivariable analysis only. Using Akaike’s Information Criterion, arsenic concentration in drinking water provided a better fitting model of MMP-9 than either urinary arsenic or drinking water arsenic intake. In conclusion, arsenic exposure evaluated using all three exposure metrics was positively associated with MMP-9.</description><identifier>ISSN: 1559-0631</identifier><identifier>EISSN: 1559-064X</identifier><identifier>DOI: 10.1038/jes.2012.107</identifier><identifier>PMID: 23232971</identifier><language>eng</language><publisher>New York: Nature Publishing Group US</publisher><subject>631/92/612/1141 ; 692/700/478/174 ; 704/172/169/895 ; Adult ; Age ; Aged ; Arsenates ; Arsenic ; Arsenic - analysis ; Arsenic - toxicity ; Arsenite ; Biomarkers ; Body mass index ; Body size ; Cancer ; Cardiovascular diseases ; Contamination ; Diabetes mellitus ; Dimethylarsinic acid ; Drinking water ; Drinking Water - chemistry ; Environmental Exposure ; Enzyme-linked immunosorbent assay ; Epidemiology ; Evaluation ; Exposure ; Female ; Gelatinase B ; Health aspects ; Households ; Humans ; Linear Models ; Male ; Matrix metalloproteinase ; Matrix Metalloproteinase 9 - blood ; Matrix metalloproteinases ; Measurement ; Medicine ; Medicine & Public Health ; Metalloproteinase ; Metalloproteins ; Middle Aged ; original-article ; Physiological aspects ; Regression models ; Risk factors ; Specific gravity ; Water Pollutants, Chemical - analysis ; Water Pollutants, Chemical - toxicity</subject><ispartof>Journal of exposure science & environmental epidemiology, 2013-03, Vol.23 (2), p.163-169</ispartof><rights>Nature America, Inc. 2013</rights><rights>COPYRIGHT 2013 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Mar 2013</rights><rights>Nature America, Inc. 2013.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c570t-de83d348e338500ef0674fe90415f51e33905c3a334d2a255b8c82100553ede93</citedby><cites>FETCH-LOGICAL-c570t-de83d348e338500ef0674fe90415f51e33905c3a334d2a255b8c82100553ede93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/jes.2012.107$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/jes.2012.107$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23232971$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Burgess, Jefferey L</creatorcontrib><creatorcontrib>Kurzius-Spencer, Margaret</creatorcontrib><creatorcontrib>O'Rourke, Mary Kay</creatorcontrib><creatorcontrib>Littau, Sally R</creatorcontrib><creatorcontrib>Roberge, Jason</creatorcontrib><creatorcontrib>Meza-Montenegro, Maria Mercedes</creatorcontrib><creatorcontrib>Gutiérrez-Millán, Luis Enrique</creatorcontrib><creatorcontrib>Harris, Robin B</creatorcontrib><title>Environmental arsenic exposure and serum matrix metalloproteinase-9</title><title>Journal of exposure science & environmental epidemiology</title><addtitle>J Expo Sci Environ Epidemiol</addtitle><addtitle>J Expo Sci Environ Epidemiol</addtitle><description>The objective of this study was to evaluate the relationship between environmental arsenic exposure and serum matrix metalloproteinase (MMP)-9, a biomarker associated with cardiovascular disease and cancer. In a cross-sectional study of residents of Arizona, USA (
n
=215) and Sonora, Mexico (
n
=163), drinking water was assayed for total arsenic, and daily drinking water arsenic intake was estimated. Urine was speciated for arsenic, and concentrations were adjusted for specific gravity. Serum was analyzed for MMP-9 using ELISA. Mixed model linear regression was used to assess the relation among drinking water arsenic concentration, drinking water arsenic intake, urinary arsenic sum of species (the sum of arsenite, arsenate, monomethylarsonic acid and dimethylarsinic acid), and MMP-9, controlling for autocorrelation within households. Drinking water arsenic concentration and intake were positively associated with MMP-9, both in crude analysis and after adjustment for gender, country/ethnicity, age, body mass index, current smoking, and diabetes. Urinary arsenic sum of species was positively associated with MMP-9 in multivariable analysis only. Using Akaike’s Information Criterion, arsenic concentration in drinking water provided a better fitting model of MMP-9 than either urinary arsenic or drinking water arsenic intake. In conclusion, arsenic exposure evaluated using all three exposure metrics was positively associated with MMP-9.</description><subject>631/92/612/1141</subject><subject>692/700/478/174</subject><subject>704/172/169/895</subject><subject>Adult</subject><subject>Age</subject><subject>Aged</subject><subject>Arsenates</subject><subject>Arsenic</subject><subject>Arsenic - analysis</subject><subject>Arsenic - toxicity</subject><subject>Arsenite</subject><subject>Biomarkers</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Cancer</subject><subject>Cardiovascular diseases</subject><subject>Contamination</subject><subject>Diabetes mellitus</subject><subject>Dimethylarsinic acid</subject><subject>Drinking water</subject><subject>Drinking Water - chemistry</subject><subject>Environmental Exposure</subject><subject>Enzyme-linked immunosorbent assay</subject><subject>Epidemiology</subject><subject>Evaluation</subject><subject>Exposure</subject><subject>Female</subject><subject>Gelatinase B</subject><subject>Health aspects</subject><subject>Households</subject><subject>Humans</subject><subject>Linear Models</subject><subject>Male</subject><subject>Matrix metalloproteinase</subject><subject>Matrix Metalloproteinase 9 - blood</subject><subject>Matrix metalloproteinases</subject><subject>Measurement</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metalloproteinase</subject><subject>Metalloproteins</subject><subject>Middle Aged</subject><subject>original-article</subject><subject>Physiological aspects</subject><subject>Regression models</subject><subject>Risk factors</subject><subject>Specific gravity</subject><subject>Water Pollutants, Chemical - analysis</subject><subject>Water Pollutants, Chemical - 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Expo Sci Environ Epidemiol</addtitle><date>2013-03-01</date><risdate>2013</risdate><volume>23</volume><issue>2</issue><spage>163</spage><epage>169</epage><pages>163-169</pages><issn>1559-0631</issn><eissn>1559-064X</eissn><abstract>The objective of this study was to evaluate the relationship between environmental arsenic exposure and serum matrix metalloproteinase (MMP)-9, a biomarker associated with cardiovascular disease and cancer. In a cross-sectional study of residents of Arizona, USA (
n
=215) and Sonora, Mexico (
n
=163), drinking water was assayed for total arsenic, and daily drinking water arsenic intake was estimated. Urine was speciated for arsenic, and concentrations were adjusted for specific gravity. Serum was analyzed for MMP-9 using ELISA. Mixed model linear regression was used to assess the relation among drinking water arsenic concentration, drinking water arsenic intake, urinary arsenic sum of species (the sum of arsenite, arsenate, monomethylarsonic acid and dimethylarsinic acid), and MMP-9, controlling for autocorrelation within households. Drinking water arsenic concentration and intake were positively associated with MMP-9, both in crude analysis and after adjustment for gender, country/ethnicity, age, body mass index, current smoking, and diabetes. Urinary arsenic sum of species was positively associated with MMP-9 in multivariable analysis only. Using Akaike’s Information Criterion, arsenic concentration in drinking water provided a better fitting model of MMP-9 than either urinary arsenic or drinking water arsenic intake. In conclusion, arsenic exposure evaluated using all three exposure metrics was positively associated with MMP-9.</abstract><cop>New York</cop><pub>Nature Publishing Group US</pub><pmid>23232971</pmid><doi>10.1038/jes.2012.107</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Journal of exposure science & environmental epidemiology, 2013-03, Vol.23 (2), p.163-169 |
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| language | eng |
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| source | MEDLINE; SpringerLink Journals |
| subjects | 631/92/612/1141 692/700/478/174 704/172/169/895 Adult Age Aged Arsenates Arsenic Arsenic - analysis Arsenic - toxicity Arsenite Biomarkers Body mass index Body size Cancer Cardiovascular diseases Contamination Diabetes mellitus Dimethylarsinic acid Drinking water Drinking Water - chemistry Environmental Exposure Enzyme-linked immunosorbent assay Epidemiology Evaluation Exposure Female Gelatinase B Health aspects Households Humans Linear Models Male Matrix metalloproteinase Matrix Metalloproteinase 9 - blood Matrix metalloproteinases Measurement Medicine Medicine & Public Health Metalloproteinase Metalloproteins Middle Aged original-article Physiological aspects Regression models Risk factors Specific gravity Water Pollutants, Chemical - analysis Water Pollutants, Chemical - toxicity |
| title | Environmental arsenic exposure and serum matrix metalloproteinase-9 |
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