<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Hasan Z</submitter><funding>United States National Institute of Occupational Safety and Health</funding><funding>United States National Institute of Environmental Health Sciences</funding><funding>ACL HHS</funding><funding>NIEHS NIH HHS</funding><funding>Innovative Talent Team Training Project of Zunyi City</funding><funding>NIOSH CDC HHS</funding><funding>National Natural Science Foundation of China</funding><funding>NCI NIH HHS</funding><funding>Natural Science Foundation of Guizhou Provincial Scientific and Technology Department</funding><funding>International Scientific and Technology cooperation project of Guizhou Province</funding><pagination>126469</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7112220</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>59</volume><pubmed_abstract>&lt;h4>Objectives&lt;/h4>Aluminum (Al) is a neurotoxicant; however, efforts to understand Al toxicity are limited by the lack of a quantitative biomarker of cumulative exposure. Bone Al measurements may address this need. Here, we describe and compare non-invasive bone Al measurements with fingernail Al and Al cumulative exposure indices (CEIs).&lt;h4>Methods&lt;/h4>We completed a cross-sectional study of 43 factory workers in Zunyi, China. Bone Al measurements were taken with a compact in-vivo neutron activation analysis system (IVNAA). Fingernail samples were analyzed using inductively coupled plasma mass spectrometry. CEIs, based on self-reported work history and prior literature, were calculated for the prior 5, 10, 15, 20 years and lifetime work history. Linear regressions adjusted for age and ed</pubmed_abstract><journal>Journal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements (GMS)</journal><pubmed_title>Characterization of bone aluminum, a potential biomarker of cumulative exposure, within an occupational population from Zunyi, China.</pubmed_title><pmcid>PMC7112220</pmcid><funding_grant_id>2015-42</funding_grant_id><funding_grant_id>RO1ES027078</funding_grant_id><funding_grant_id>T03OH008615</funding_grant_id><funding_grant_id>R13 ES030964</funding_grant_id><funding_grant_id>R01 ES027078</funding_grant_id><funding_grant_id>T42 OH008455</funding_grant_id><funding_grant_id>G2014-7012</funding_grant_id><funding_grant_id>81760582</funding_grant_id><funding_grant_id>R21 OH010700</funding_grant_id><funding_grant_id>R21OH010700</funding_grant_id><funding_grant_id>T32 CA147832</funding_grant_id><funding_grant_id>T03 OH008615</funding_grant_id><funding_grant_id>2017-1215</funding_grant_id><pubmed_authors>Rolle-McFarland D</pubmed_authors><pubmed_authors>Liu Y</pubmed_authors><pubmed_authors>Li Y</pubmed_authors><pubmed_authors>Nie LH</pubmed_authors><pubmed_authors>Hasan Z</pubmed_authors><pubmed_authors>Mostafaei F</pubmed_authors><pubmed_authors>Fan Q</pubmed_authors><pubmed_authors>Zhou Y</pubmed_authors><pubmed_authors>Zheng W</pubmed_authors><pubmed_authors>Wells EM</pubmed_authors><pubmed_authors>Zhou J</pubmed_authors></additional><is_claimable>false</is_claimable><name>Characterization of bone aluminum, a potential biomarker of cumulative exposure, within an occupational population from Zunyi, China.</name><description>&lt;h4>Objectives&lt;/h4>Aluminum (Al) is a neurotoxicant; however, efforts to understand Al toxicity are limited by the lack of a quantitative biomarker of cumulative exposure. Bone Al measurements may address this need. Here, we describe and compare non-invasive bone Al measurements with fingernail Al and Al cumulative exposure indices (CEIs).&lt;h4>Methods&lt;/h4>We completed a cross-sectional study of 43 factory workers in Zunyi, China. Bone Al measurements were taken with a compact in-vivo neutron activation analysis system (IVNAA). Fingernail samples were analyzed using inductively coupled plasma mass spectrometry. CEIs, based on self-reported work history and prior literature, were calculated for the prior 5, 10, 15, 20 years and lifetime work history. Linear regressions adjusted for age and ed</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 May</publication><modification>2025-04-19T16:17:06.767Z</modification><creation>2022-02-09T18:08:15.349Z</creation></dates><accession>S-EPMC7112220</accession><cross_references><pubmed>31982817</pubmed><doi>10.1016/j.jtemb.2020.126469</doi></cross_references></HashMap>