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Burns JS, Bather JR, Sergeyev O, Lee MM, Korrick SA, Sokolov S, Kovalev S, Koch HM, Lebedev AT, Mínguez-Alarcón L, Hauser R, Williams PL. Longitudinal association of prepubertal urinary phthalate metabolite concentrations with pubertal progression among a cohort of boys. Environ Res 2023; 233:116330. [PMID: 37348639 PMCID: PMC10575624 DOI: 10.1016/j.envres.2023.116330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 05/19/2023] [Accepted: 06/03/2023] [Indexed: 06/24/2023]
Abstract
BACKGROUND Epidemiological studies have reported associations of anti-androgenic phthalate metabolite concentrations with later onset of male puberty, but few have assessed associations with progression. OBJECTIVES We examined the association of prepubertal urinary phthalate metabolite concentrations with trajectories of pubertal progression among Russian boys. METHODS At enrollment (ages 8-9 years), medical history, dietary, and demographic information were collected. At entry and annually to age 19 years, physical examinations including testicular volume (TV) were performed and spot urines collected. Each boy's prepubertal urine samples were pooled, and 15 phthalate metabolites were quantified by isotope dilution LC-MS/MS at Moscow State University. Metabolites of anti-androgenic parent phthalates were included: butylbenzyl (BBzP), di-n-butyl (DnBP), diisobutyl (DiBP), di(2-ethylhexyl) (DEHP) and diisononyl (DiNP) phthalates. We calculated the molar sums of DEHP, DiNP, and all AAP metabolites. We used group-based trajectory models (GBTMs) to identify subgroups of boys who followed similar pubertal trajectories from ages 8-19 years based on annual TV. We used multinomial and ordinal regression models to evaluate whether prepubertal log-transformed phthalate metabolite concentrations were associated with slower or faster pubertal progression trajectories, adjusting for covariates. RESULTS 304 boys contributed a total of 752 prepubertal urine samples (median 2, range: 1-6) for creation of individual pools. The median length of follow-up was 10.0 years; 79% of boys were followed beyond age 15. We identified three pubertal progression groups: slower (34%), moderate (43%), and faster (23%) progression. A standard deviation increase in urinary log-monobenzyl phthalate (MBzP) concentrations was associated with higher adjusted odds of being in the slow versus faster pubertal progression trajectory (aOR 1.47, 95% CI 1.06-2.04). None of the other phthalate metabolites were associated with pubertal progression. CONCLUSIONS On average, boys with higher concentrations of prepubertal urinary MBzP had a slower tempo of pubertal progression, perhaps attributable to the disruption of androgen-dependent biological pathways.
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Affiliation(s)
- J S Burns
- Environmental and Occupational Medicine and Epidemiology Program, Department of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Building 1, 14th Floor, Boston, MA, 02115, USA.
| | - J R Bather
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Building 2, 4th Floor, Boston, MA, 02115, USA
| | - O Sergeyev
- Group of Epigenetic Epidemiology, Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Leninskye Gory, House 1, Building 40, Room 322, 119992, Moscow, Russia
| | - M M Lee
- Nemours Children's Health/Sidney Kimmel Medical School, Jefferson University, 1600 Rockland Road, Wilmington, DE, USA
| | - S A Korrick
- Environmental and Occupational Medicine and Epidemiology Program, Department of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Building 1, 14th Floor, Boston, MA, 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 401 Park Drive, 3rd Floor West, Boston, MA, 02215, USA
| | - S Sokolov
- Chemistry Department, Lomonosov Moscow State University, Moscow, 119991, Leninskie Gory 1/3, Russia
| | - S Kovalev
- Chemistry Department, Lomonosov Moscow State University, Moscow, 119991, Leninskie Gory 1/3, Russia
| | - H M Koch
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance - Institute of the Ruhr University Bochum (IPA), Bürkle-de-la-Camp-Platz 1, 44789, Bochum, Germany
| | - A T Lebedev
- Chemistry Department, Lomonosov Moscow State University, Moscow, 119991, Leninskie Gory 1/3, Russia
| | - L Mínguez-Alarcón
- Environmental and Occupational Medicine and Epidemiology Program, Department of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Building 1, 14th Floor, Boston, MA, 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 401 Park Drive, 3rd Floor West, Boston, MA, 02215, USA
| | - R Hauser
- Environmental and Occupational Medicine and Epidemiology Program, Department of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Building 1, 14th Floor, Boston, MA, 02115, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health Kresge Building, 9th Floor, Boston, MA, 02115, USA
| | - P L Williams
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Building 2, 4th Floor, Boston, MA, 02115, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health Kresge Building, 9th Floor, Boston, MA, 02115, USA
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