Colleen K Mikelson1, Jacopo Troisi2, Amy LaLonde3, Steven J K Symes4, Sally W Thurston3, Lauren M DiRe5, C David Adair6, Richard K Miller7, Sean M Richards8. 1. Department of Biology, Geology and Environmental Sciences, University of Tennessee Chattanooga, 615 McCallie Ave., Chattanooga, TN 37403, United States. Electronic address: colleen-mikelson@utc.edu. 2. Department of Medicine, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, SA, Italy. 3. Department of Biostatistics and Computational Biology, University of Rochester, School of Medicine and Dentistry, 265 Crittenden Boulevard, Box 630, Rochester, NY 14642, United States. 4. Department of Chemistry and Physics, University of Tennessee Chattanooga, 615 McCallie Ave., Chattanooga, TN 37403, United States; University of Tennessee College of Medicine, Department of Obstetrics and Gynecology, Section on Maternal Fetal Medicine, 960 East Third Street, Suite 100, Chattanooga, TN 37403, United States. 5. College of Pharmacy and Health Sciences, St. John's University, 8000 Utopia Parkway, Queens, NY 11439, United States. 6. University of Tennessee College of Medicine, Department of Obstetrics and Gynecology, Section on Maternal Fetal Medicine, 960 East Third Street, Suite 100, Chattanooga, TN 37403, United States. 7. Departments of Obstetrics and Gynecology, of Environmental Medicine and of Pathology, University of Rochester, School of Medicine and Dentistry, 601 Elmwood Ave, Box 668, Rochester, NY 14642, United States. 8. Department of Biology, Geology and Environmental Sciences, University of Tennessee Chattanooga, 615 McCallie Ave., Chattanooga, TN 37403, United States; University of Tennessee College of Medicine, Department of Obstetrics and Gynecology, 979 E. Third Street - Suite C720, Chattanooga, TN 37403, United States.
Abstract
BACKGROUND: Comprehensive examinations of placental metal concentrations and correlations with infant parameters are under-investigated. Chattanooga, Tennessee's consistently high incidence of low birth weight and potential for metal exposure provides an ideal opportunity to investigate potential correlations. OBJECTIVES: To investigate the associations between a wide variety of metals in placental tissue and multiple infant parameters. METHODS: A total of 31 elements were screened via ICP-MS in 374 individual placental samples. Of those, 14 were quantifiable in > 86% of the samples. We examined correlations between metal concentrations and infant parameters (birth weight, gestational age, birth weight centile, placental weight, birth length and head circumference). We fit multivariable regression models to estimate the covariate-adjusted associations of birth weight with ln-transformed concentrations of each of the 14 metals and used generalized additive models to examine nonlinear relationships. RESULTS: Some of the strongest relationships with infant parameters came from several lesser-studied metals. Placental rhodium concentrations were negatively correlated with almost all infant parameters. In the fully adjusted regression model, birth weight was significantly associated with several metals. On an IQR (25th to the 75th percentile) basis, estimated changes in birthweight were: for cobalt (82.5 g, IQR=6.05 µg/kg, p = 0.006), iron (-51.5 g, IQR = 171800 µg/kg, p = 0.030), manganese (-27.2 g, IQR=152.1 µg/kg, p = 0.017), lead (-72.7 g, IQR=16.55 µg/kg, p = 0.004) and rhodium (-1365.5 g, IQR = 0.33 µg/kg, p < 0.001). Finally, a generalized additive model showed significant nonlinear relationships between birth weight and concentrations of Co and Rh. CONCLUSIONS: Our comprehensive examination of placental metals illustrate many strong associations between lesser-studied metals and infant parameters. These data, in combination with our correlations of well-studied metals, illustrate a need to consider in utero exposure to a broad array of metals when considering fetal development.
BACKGROUND: Comprehensive examinations of placental metal concentrations and correlations with infant parameters are under-investigated. Chattanooga, Tennessee's consistently high incidence of low birth weight and potential for metal exposure provides an ideal opportunity to investigate potential correlations. OBJECTIVES: To investigate the associations between a wide variety of metals in placental tissue and multiple infant parameters. METHODS: A total of 31 elements were screened via ICP-MS in 374 individual placental samples. Of those, 14 were quantifiable in > 86% of the samples. We examined correlations between metal concentrations and infant parameters (birth weight, gestational age, birth weight centile, placental weight, birth length and head circumference). We fit multivariable regression models to estimate the covariate-adjusted associations of birth weight with ln-transformed concentrations of each of the 14 metals and used generalized additive models to examine nonlinear relationships. RESULTS: Some of the strongest relationships with infant parameters came from several lesser-studied metals. Placental rhodium concentrations were negatively correlated with almost all infant parameters. In the fully adjusted regression model, birth weight was significantly associated with several metals. On an IQR (25th to the 75th percentile) basis, estimated changes in birthweight were: for cobalt (82.5 g, IQR=6.05 µg/kg, p = 0.006), iron (-51.5 g, IQR = 171800 µg/kg, p = 0.030), manganese (-27.2 g, IQR=152.1 µg/kg, p = 0.017), lead (-72.7 g, IQR=16.55 µg/kg, p = 0.004) and rhodium (-1365.5 g, IQR = 0.33 µg/kg, p < 0.001). Finally, a generalized additive model showed significant nonlinear relationships between birth weight and concentrations of Co and Rh. CONCLUSIONS: Our comprehensive examination of placental metals illustrate many strong associations between lesser-studied metals and infant parameters. These data, in combination with our correlations of well-studied metals, illustrate a need to consider in utero exposure to a broad array of metals when considering fetal development.
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