Jacqueline Barkoski1, Deborah Bennett2, Daniel Tancredi3, Dana Boyd Barr4, William Elms5, Irva Hertz-Picciotto6. 1. Department of Public Health Sciences, School of Medicine, University of California, Davis, CA, USA. Electronic address: jmbarkoski@ucdavis.edu. 2. Department of Public Health Sciences, School of Medicine, University of California, Davis, CA, USA. Electronic address: dhbennett@ucdavis.edu. 3. Department of Pediatrics, School of Medicine, University of California, Davis, CA, USA. Electronic address: djtancredi@ucdavis.edu. 4. Rollins School of Public Health, Emory University, Atlanta, GA, USA. Electronic address: dbbarr@emory.edu. 5. Department of Public Health Sciences, School of Medicine, University of California, Davis, CA, USA. Electronic address: wcelms@ucdavis.edu. 6. Department of Public Health Sciences, School of Medicine, University of California, Davis, CA, USA; MIND (Medical Investigations of Neurodevelopmental Disorders) Institute, University of California, Davis, CA, USA. Electronic address: iher@ucdavis.edu.
Abstract
BACKGROUND: Variability of short-lived urinary pesticide metabolites during pregnancy raises challenges for exposure assessment. OBJECTIVES: For urinary metabolite concentrations 3-phenoxybenzoic acid (3-PBA) and 3,5,6-trichloro-2-pyridinol (TCPy), we assessed: (1) temporal variability; (2) variation of two urine specimens within a trimester; (3) reliability for pesticide concentrations from a single urine specimen to classify participants into exposure tertiles; and (4) seasonal or year variations. METHODS: Pregnant mothers (N = 166) in the MARBLES (Markers of Autism Risk in Babies-Learning Early Signs) Study provided urine specimens (n = 528). First morning void (FMV), pooled, and 24-h specimens were analyzed for 3-PBA and TCPy. For 9 mothers (n = 88 specimens), each urine specimen was analyzed separately (not pooled) to estimate within- and between-person variance components expressed as intraclass correlation coefficients (ICC). Pesticide concentrations from two specimens within a trimester were also assessed using ICC's. Agreement for exposure classifications was assessed with weighted Cohen's kappa statistics. Longitudinal mixed effect models were used to assess seasonal or year variations. RESULTS: Urinary pesticide metabolites were detected in ≥ 93% of specimens analyzed. The highest ICC from repeated individual specimens was from specific gravity-corrected FMV specimens for 3-PBA (ICC=0.13). Despite high within-person variability, the median concentrations did not differ across trimesters. Concentrations from pooled specimens had substantial agreement predicting exposure categories for TCPy (K = 0.67, 95% CI (0.59, 0.76)) and moderate agreement for 3-PBA (K = 0.59, 95% CI (0.49, 0.69)). TCPy concentrations significantly decreased from 2007 to 2014. CONCLUSIONS: Pooled specimens may improve exposure classification and reduce laboratory costs for compounds with short biological half-lives in epidemiological studies.
BACKGROUND: Variability of short-lived urinary pesticide metabolites during pregnancy raises challenges for exposure assessment. OBJECTIVES: For urinary metabolite concentrations 3-phenoxybenzoic acid (3-PBA) and 3,5,6-trichloro-2-pyridinol (TCPy), we assessed: (1) temporal variability; (2) variation of two urine specimens within a trimester; (3) reliability for pesticide concentrations from a single urine specimen to classify participants into exposure tertiles; and (4) seasonal or year variations. METHODS: Pregnant mothers (N = 166) in the MARBLES (Markers of Autism Risk in Babies-Learning Early Signs) Study provided urine specimens (n = 528). First morning void (FMV), pooled, and 24-h specimens were analyzed for 3-PBA and TCPy. For 9 mothers (n = 88 specimens), each urine specimen was analyzed separately (not pooled) to estimate within- and between-person variance components expressed as intraclass correlation coefficients (ICC). Pesticide concentrations from two specimens within a trimester were also assessed using ICC's. Agreement for exposure classifications was assessed with weighted Cohen's kappa statistics. Longitudinal mixed effect models were used to assess seasonal or year variations. RESULTS: Urinary pesticide metabolites were detected in ≥ 93% of specimens analyzed. The highest ICC from repeated individual specimens was from specific gravity-corrected FMV specimens for 3-PBA (ICC=0.13). Despite high within-person variability, the median concentrations did not differ across trimesters. Concentrations from pooled specimens had substantial agreement predicting exposure categories for TCPy (K = 0.67, 95% CI (0.59, 0.76)) and moderate agreement for 3-PBA (K = 0.59, 95% CI (0.49, 0.69)). TCPy concentrations significantly decreased from 2007 to 2014. CONCLUSIONS: Pooled specimens may improve exposure classification and reduce laboratory costs for compounds with short biological half-lives in epidemiological studies.
Authors: Kavi M Rude; Matteo M Pusceddu; Ciara E Keogh; Jessica A Sladek; Gonzalo Rabasa; Elaine N Miller; Sunjay Sethi; Kimberly P Keil; Isaac N Pessah; Pamela J Lein; Mélanie G Gareau Journal: Environ Pollut Date: 2019-07-14 Impact factor: 8.071
Authors: Astrid N Zamora; Deborah J Watkins; Karen E Peterson; Martha M Téllez-Rojo; Howard Hu; John D Meeker; Alejandra Cantoral; Adriana Mercado-García; Erica C Jansen Journal: Environ Res Date: 2021-08-29 Impact factor: 6.498
Authors: Deborah H Bennett; Stefanie A Busgang; Kurunthachalam Kannan; Patrick J Parsons; Mari Takazawa; Christopher D Palmer; Rebecca J Schmidt; John T Doucette; Julie B Schweitzer; Chris Gennings; Irva Hertz-Picciotto Journal: Environ Int Date: 2022-01-24 Impact factor: 13.352
Authors: Irva Hertz-Picciotto; Rebecca J Schmidt; Cheryl K Walker; Deborah H Bennett; McKenzie Oliver; Kristine M Shedd-Wise; Janine M LaSalle; Cecilia Giulivi; Birgit Puschner; Jennifer Thomas; Dorcas L Roa; Isaac N Pessah; Judy Van de Water; Daniel J Tancredi; Sally Ozonoff Journal: Environ Health Perspect Date: 2018-11 Impact factor: 11.035
Authors: Jacqueline M Barkoski; Claire Philippat; Daniel Tancredi; Rebecca J Schmidt; Sally Ozonoff; Dana Boyd Barr; William Elms; Deborah H Bennett; Irva Hertz-Picciotto Journal: Environ Res Date: 2020-11-18 Impact factor: 6.498