Abstract

Iron status is often assessed in epidemiologic studies, and toenails offer a convenient alternative to serum because of ease of collection, transport, and storage, and the potential to reflect a longer exposure window. Very few studies have examined the correlation between serum and toenail levels for trace metals. Our aim was to compare iron measures using serum and toenails on both a cross-sectional and longitudinal basis. Using a subset of the US-wide prospective Sister Study cohort, we compared toenail iron measures to serum concentrations for iron, ferritin and percent transferrin saturation. Among 146 women who donated both blood and toenails at baseline, a subsample (59%, n = 86) provided specimens about 8 years later. Cross-sectional analyses included nonparametric Spearman’s rank correlations between toenail and serum biomarker levels. We assessed within-woman maintenance of rank across time for the toenail and serum measures and fit mixed effects models to measure change across time in relation to change in menopause status. Spearman correlations at baseline (follow-up) were 0.08 (0.09) for serum iron, 0.08 (0.07) for transferrin saturation, and − 0.09 (− 0.17) for ferritin. The within-woman Spearman correlation for toenail iron between the two time points was higher (0.47, 95% CI 0.30, 0.64) than for serum iron (0.30, 95% CI 0.09, 0.51) and transferrin saturation (0.34, 95% CI 0.15, 0.54), but lower than that for ferritin (0.58, 95% CI 0.43, 0.73). Serum ferritin increased over time while nail iron decreased over time for women who experienced menopause during the 8-years interval. Based on cross-sectional and repeated assessments, our evidence does not support an association between serum biomarkers and toenail iron levels. Toenail iron concentrations did appear to be moderately stable over time but cannot be taken as a proxy for serum iron biomarkers and they may reflect physiologically distinct fates for iron.

Details

Title
Toenail and serum levels as biomarkers of iron status in pre- and postmenopausal women: correlations and stability over eight-year follow-up
Author
Von Holle, Ann 1 ; O’Brien, Katie M. 2 ; Sandler, Dale P. 2 ; Janicek, Robert 3 ; Karagas, Margaret R. 4 ; White, Alexandra J. 2 ; Niehoff, Nicole M. 5 ; Levine, Keith E. 6 ; Jackson, Brian P. 7 ; Weinberg, Clarice R. 1 

 Biostatistics and Computational Biology Branch National Institute of Environmental Health Sciences, Research Triangle Park, Durham, USA (GRID:grid.280664.e) (ISNI:0000 0001 2110 5790) 
 Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, USA (GRID:grid.280664.e) (ISNI:0000 0001 2110 5790) 
 University of Minnesota, Advanced Research and Diagnostic Laboratory, Minneapolis, USA (GRID:grid.17635.36) (ISNI:0000 0004 1936 8657) 
 Dartmouth College, Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, USA (GRID:grid.254880.3) (ISNI:0000 0001 2179 2404) 
 Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, USA (GRID:grid.280664.e) (ISNI:0000 0001 2110 5790); Ontada, Durham, USA (GRID:grid.280664.e) 
 RTI International, Research Triangle Park, USA (GRID:grid.62562.35) (ISNI:0000 0001 0030 1493) 
 Dartmouth College, Department of Earth Sciences, Hanover, USA (GRID:grid.254880.3) (ISNI:0000 0001 2179 2404) 
Pages
1682
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2916554412
Copyright
© This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.