Abstract
Purpose
Phthalates are ubiquitous endocrine disruptors that can affect pubertal development in children. The association of fetal and childhood levels of phthalates with pubertal development were explored.
Methods
We conduct a population-based birth cohort study to investigate the association between prenatal and childhood exposure to phthalates and pubertal development. Initially, a total of 445 children were recruited from 2000 to 2001, of which 90 children were followed for 15 years which measurements of urine and development assessed at 2, 5, 8, 11, and 14 years. We defined higher Tanner stage as the 14-year-old Tanner stage ≥ 4 and 5 for boys and girls, respectively. A logistic regression analysis was conducted to estimate the crude and adjusted odds ratio of a higher Tanner stage at 14 years old. The Pearson correlation coefficient and multiple linear regression were used to estimate the association of testicular volume, uterine volume, ovarian volume, and blood hormones at 14 years of age with the log-transformed concentration of phthalates at 2, 5, 8, 11, and 14 years.
Results
In boys, a significantly different geometric mean of mono-benzyl phthalate (MBzP) was observed in 11-year-olds; 6.82 and 2.96 in the lower Tanner stage group and higher Tanner stage group. In girls, a significant difference in the geometric mean of mono(2-ethyl-5-hydroxyhexyl) phthalate (MEHHP) in 11-year-olds and mono-ethyl phthalate (MEP) in 2-year-olds was observed; MEHHP was 32.97 and 18.13 in the lower Tanner stage group and higher Tanner stage group, and MEP was 26.54 and 65.74 in the lower Tanner stage group and higher Tanner stage group, respectively. Uterine volume at 14 years old was negatively associated with several phthalate metabolites (MEHP at 8 years old, MnBP at 8 years old, MBzP at 14 years old, MMP prenatally, MMP at 8 years old, and MEP at 8 years old) after adjusting for covariates. However, no significant correlations were found between phthalate metabolites and ovarian or testicular volume.
Conclusion
Phthalate exposure at certain time points may influence the reproductive development of children during puberty; however, further studies should be conducted to determine the causal nature of this association.
Keywords: phthalates, endocrine-disrupting chemicals, pubertal development, development of reproductive organs, birth cohort
1. Introduction
Phthalates, which are endocrine-disrupting chemicals (EDCs), are mainly used in plastic products as plasticizers, making them elastic and pliable. Humans are exposed to phthalates from a wide range of sources through inhalation, digestion, or dermal absorption (1, 2), including diet, unique hygiene products, cosmetics and skin products, medical applications, and recreational and pharmaceutical agents (2–5). Experimental and observational studies have suggested that phthalates can negatively affect male and female reproductive health via interference with estrogen/androgen production and/or inflammatory/oxidative stress pathways (6–11).
Prenatal, postnatal, and childhood exposure to phthalates affects hormone levels and pubertal development; however, the underlying mechanisms remain unclear (1, 12–15). Eales et al. (14) summarized the high-to-moderate health effects of phthalates and their metabolites, which include lower semen quality, impaired neurodevelopment, risk of childhood asthma, anogenital distance in boys, low birth weight, endometriosis, decreased testosterone levels, type 2 diabetes, and breast/uterine cancer. Basso et al. (15) considered that phthalates and their metabolites are crucial environmental factors contributing to the etiology of uterine and ovarian diseases in women, such as polycystic ovary syndrome and endometriosis.
Phthalates induce various cellular responses, including the modulation of the expression of steroid hormone receptors and transcription and paracrine factors. For example, male rats treated with di(2-ethylhexyl)phthalate (DEHP) exhibited delayed puberty and changes in serum anti-Mullerian hormone (AMH), estrogen levels, follicle-stimulating hormone (FSH), and gene expression (16). The research findings indicate that exposure to DEHP in animal experiments is linked to reduced gene expression and expression of critical proteins. This exposure may contribute to the development of defects, such as abnormal uterine structure, epithelial proliferation, uterine receptivity, and endometrial shedding in rats (17, 18). These results highlight the potential adverse effects of DEHP exposure on reproductive health and provide insight into the mechanisms by which DEHP affects the reproductive system. Further studies are needed to investigate the long-term effects of DEHP exposure and its impact on human health.
The age of puberty onset varies widely among individuals across ethnicities and sexes (6–10, 19). Puberty begins between the ages of 8 and 12 years in girls and 9 and 14 years in boys (20–22). The exact mechanism that triggers puberty onset remains elusive (20–24). Kisspeptins belonging to the neuropeptide family may be associated with female puberty initiation and ovulation regulation through the central control of the hypothalamus–pituitary–gonad axis. Increased prenatal or early childhood exposure to phthalates positively correlates with elevated kisspeptin concentrations, suggesting that such exposure may accelerate sexual maturation in girls (22, 25–27). Although epidemiological studies have limitations, they suggest that phthalates may affect reproductive outcomes and children’s health.
The human development cycle is classified into infants, toddlers, preschool- and school-aged children, adolescents, and young adults, before reaching adulthood (28). Our previous studies on phthalate metabolites have indicated that the phthalate exposure concentration might affect sex steroid hormone levels and negatively affect uterus development in girls (7, 8). Most cohort epidemiological studies have focused on the effects of gestational exposure to maternal or neonatal hormones on childhood puberty development or adulthood reproductive health; however, sensitivity to phthalate exposure is not limited to the fetal and neonatal periods. In this study, we examined the association between prenatal to childhood phthalate exposure (prenatally and at 2, 5, 8, and 11 years old) and the development of puberty and reproductive organs in 14-year-old children.
2. Methods
This study conducted a 15-year follow-up of the effect of prenatal and childhood exposure to phthalates on pubertal development in a population-based birth cohort. Initially, a total of 445 children were recruited from 2000 to 2001. Twenty-one children were excluded who were not born in our hospital, 166 children who had never attended follow-up since birth, seven children whose birth dates were unknown, and 31 children without a maternal urine test data. Among the 220 eligible children, a total of 90 completed all three surveys at 8, 11, and 14 years of age during the follow-up period, while the remaining 130 children did not provide complete responses. Thus, the overall response rate for the study was 40.9% (90/220). Figure 1 illustrates a flowchart describing the details of the study population.
This study was approved by the Ethics Review Committee of the National Health Research Institutes in Taiwan, and informed written consent was obtained before the commencement of the study from each of the pregnant participants, the guardian, and the children ≥6 years of age using suitable language for children’s understanding.
2.1. Phthalate metabolite and urine creatinine measurements
The researchers collected one-spot maternal urine samples from women in their third trimester (28–36 weeks of gestation). Urine from children was collected independently at ages 2, 5, 8, 11, and 14 years. Urine samples were collected using standard collection containers at the hospital and stored at 4°C until transportation to the analytical laboratory at the National Health Research Institutes (NHRI) by trained research personnel. Upon arrival at the laboratory, the samples were immediately aliquoted and frozen at -20°C to ensure preservation and enable future analysis. All phthalate metabolites were tested and strictly controlled by the NHRI within a period of 2 weeks.
Maternal and children phthalate exposure was assessed using the urinary concentration of seven phthalate metabolites, including mono(2-ethylhexyl) phthalate (MEHP), mono(2-ethyl-5-hydroxyhexyl) phthalate (MEHHP), mono(2-ethyl-5-oxohexyl) phthalate (MEOHP), mono-n-butyl phthalate (MnBP), mono-benzyl phthalate (MBzP), mono-methyl phthalate (MMP), and mono-ethyl phthalate (MEP). Total DEHP levels were determined as the sum of MEHP, MEHHP, and MEOHP levels. The National Health Research Institutes (NHRI) analytical laboratory used an online solid phase extraction system coupled with liquid chromatography electrospray ionization tandem mass spectrometry (LC–ESI–MS/MS), which was validated by an international laboratory comparison program (G-EQUAS 59, the German External Quality Assessment Scheme, Erlangen, Germany). As part of the pretreatment process, the 13C4 isotopes of the phthalate metabolites were added as internal standards to the urine samples prior to deconjugation using β-glucuronidase. This was done to facilitate accurate quantification of the target analytes by correcting for variations in sample preparation, matrix effects, and instrument drift. Metabolite concentrations adjusted for creatinine were denoted in micrograms per grams of creatinine (µg/gC). Urinary creatinine levels were determined at Kaohsiung Medical University Chung-Ho Memorial Hospital using spectrophotometric methods, with picric acid as the reactive agent and the reader set at 520 nm.
2.2. Sex hormone measurements
Serum total testosterone (TT) and progesterone levels were measured using a solid-phase, competitive chemiluminescent enzyme immunoassay (Immulite 2000 Systems Analyzers, Siemens Medical Solutions Diagnostics, Deerfield, Illinois). The sensitivity for TT was 1.5 ng/mL, and for progesterone was 0.1 ng/mL (0.3 nmol/L). Serum estradiol (E2) levels were measured using a radioimmunoassay kit (Diagnostic Systems Laboratories, Santa Monica, California), and the sensitivity of this assay was 0.22 ng/dL. Serum follicle-stimulating (FSH) and luteinizing hormone (LH) levels were measured via enzyme immunoassays (FSH: Abbott Laboratories, Rome, Italy; LH: Dade Behring, Milan, Italy). The sensitivity for both assays was 0.2mIU/ml. Intra- and interassay coefficients of variations were 4.7% and 8.9%, respectively, for FSH, and 3.1% and 4.0%, respectively, for LH. The sex hormone binding globulin (SHBG) levels were measured using a solid-phase “sandwich” immunoradiometric assay comprising two monoclonal antibodies directed against two different antigen sites, one of which is radiolabeled with iodine125 (Cisbio Bioassays, Codolet, France). This radioimmunoassay had analytical and functional detection limits below 0.5 nmol/L, an intra-assay coefficient of variation (CV) of 5.2%, and inter-assay CVs of 5.3%.
2.3. Evaluation of pubertal development at 8, 11, and 14 years of age
Successive physical examinations and clinical assessments of reproductive development were conducted by a pediatric specialist (P-H Su) every 2–3 years. The recorded pubertal landmarks of the children aged 8, 11, and 14 years were used in the present study. According to the established methodology of Greulich and Pyle (29), we calculated bone age (BA) using radiographs of the left hand and determined the ratio of BA to chronological age (BA/CA). Testicular volume was assessed by comparison with a reference orchidometer, which is a standard tool for evaluating testicular size in a consistent and accurate manner (30).
Complete pelvic organ examination of all girls was conducted through full-bladder transabdominal ultrasound with a transabdominal probe set at 3.64 MHz (Acuson Antares Ultrasound system, Siemens Medical Solutions, Malvern, PA, USA) (31). Uterine measurements included the longitudinal diameter, transverse diameter, uterine body length, and cervical length. Bilateral ovarian size measurements included the longitudinal and transverse diameters. A senior specialist blinded to exposure levels performed ultrasound scans using a standard protocol. The reliability of the ultrasound measurements for uterine size and ovarian volume was tested, with the average CVs ranging from 2.82% to 8.76%. In a single assessment session, six participants were scanned five times each due to the inability to verify the obtained results. CVs were < 15%.
The development of genital and armpit hair was measured according to the patterns of pubertal change defined by Tanner (32). The highest stage among these signs was recorded for each child by sex at the ages of 8, 11, and 14 years. The Tanner stages include five stages, ranging from stage 1 (pre-pubertal) to stage 5 (fully mature). A brief overview of the Tanner stages is as follows:
Stage 1: Pre-pubertal, no development of secondary sexual characteristics.
Stage 2: Initial development of secondary sexual characteristics; for boys, testicular enlargement and fine pubic hair, and for girls, breast budding and fine pubic hair.
Stage 3: Further development of secondary sexual characteristics; for boys, penis growth and pubic hair darkening, and for girls, continued breast growth and pubic hair darkening.
Stage 4: Advanced development of secondary sexual characteristics; for boys, increased penis and testicular size and more adult-like pubic hair, and for girls, the breast assumes an adult shape, and pubic hair takes an adult pattern.
Stage 5: Full maturity; for boys, adult genitalia and pubic hair, and for girls, adult breasts and pubic hair.
2.4. Statistical analysis
All demographics and sexual characteristics are presented as mean ± standard deviation (SD) for continuous data and as numbers and percentages (n, %) for categorical data. The phthalate data are presented as geometric means [95% confidence interval (CI)] and were compared between Tanner stage < 4 and Tanner stage ≥ 4 in boys and Tanner stage < 5 and Tanner stage = 5 in girls using the Student’s t-test for log-normally distributed data. The geometric means of phthalate levels at six follow-up time points (prenatally and at 2, 5, 8, 11, and 14 years old) were compared using a two-sample t-test. A logistic regression analysis was conducted to estimate the crude and adjusted odds ratio (aOR) of puberty development (Tanner stage ≥ 4 and 5 for boys and girls, respectively), which yielded the log-linear association with the log-transformed concentration of phthalates at six-time points. The Pearson correlation coefficient was estimated for the association of the testicular volume, uterine volume, ovarian volume, and blood hormones at 14 years of age with the log-transformed concentration of phthalates at each follow-up time point. Linear regression was conducted to determine the adjusted association of the testicular volume, uterine volume, ovarian volume, and blood hormones with the log-transformed concentration of phthalates at each follow-up time point. All statistical assessments were two-tailed and considered significant at p < 0.05. All data were analyzed using SAS version 9.4 (SAS Institute, Cary, NC, USA).
3. Results
3.1. Characteristics of the study population
The maternal and demographic characteristics of children who were followed up to 14 years of age (n = 90) and those lost to follow-up (n = 130) are presented in Supplementary Table S1 . The distribution of maternal characteristics and phthalate metabolite levels during pregnancy was not significantly different between the two follow-up groups.
3.2. Characteristics of pubertal development at 14 years of age
The distribution of Tanner stages at 8, 11, and 14 years of age among boys and girls is presented in Figure 2 . Table 1 presents the children’s demographic, body composition, genital, and blood hormone characteristics at 14 years of age stratified by sex and Tanner stage. Overall, 14 boys (36.8%) were Tanner stage < 4, and 38 girls (73.1%) were Tanner stage < 5. For boys, the BA (13.61 ± 0.40) of Tanner stage < 4 was significantly (p < 0.0001) lower than that of Tanner stage ≥ 4 (14.85 ± 0.51). For girls, the BA (13.95 ± 0.35) of Tanner stage < 5 was significantly (p < 0.0001) lower than that of Tanner stage 5 (14.71 ± 0.43). The weight (50.24 ± 11.43 kg), body mass index (BMI; 18.49 ± 2.63), and testicular volume (15.57 ± 3.98) of boys with Tanner stage < 4 were significantly lower than those of boys with Tanner stage ≥ 4 (60.00 ± 11.45, p = 0.0157; 21.09 ± 3.70, p = 0.0272; and 19.92 ± 2.50, p = 0.0002, respectively). The weight (52.24 ± 9.98 kg) and BMI (20.29 ± 3.29) of girls with Tanner stage < 5 were lower than those of girls with Tanner stage 5 (62.57 ± 15.83, p = 0.0358 and 24.27 ± 5.00, p = 0.0130, respectively), but the differences in female uterus and ovary size were non-significant. For boys, no significant difference was observed in blood hormones, including estradiol, TT, progesterone, FSH, LH, and SHBG, between the Tanner stage < 4 group and Tanner stage ≥ 4 group. For girls, we observed higher TT and progesterone levels and lower FSH levels in those with Tanner stage 5.
Table 1.
Variables | Boys | p | Girls | p | ||
---|---|---|---|---|---|---|
Tanner stage < 4 | Tanner stage ≥ 4 | Tanner stage < 5 | Tanner stage = 5 | |||
n = 14 | n = 24 | n = 38 | n = 14 | |||
Demographic | ||||||
Maternal age at delivery† | 29.64 ± 2.84 | 30.46 ± 3.58 | 0.4712 | 30.16 ± 3.69 | 31.29 ± 4.56 | 0.3636 |
Maternal education | ||||||
< 12 years | 11 (78.6%) | 19 (79.2%) | 0.9654 | 32 (84.2%) | 10 (71.4%) | 0.2996 |
≧12 years | 3 (21.4%) | 5 (20.8%) | 6 (15.8%) | 4 (28.6%) | ||
Paternal education | ||||||
< 12 years | 8 (57.1%) | 16 (66.7%) | 0.5571 | 31 (81.6%) | 13 (92.9%) | 0.3174 |
≧12 years | 6 (42.9%) | 8 (33.3%) | 7 (18.4%) | 1 (7.1%) | ||
Family income per year | ||||||
< 600,000 NTDs | 6 (42.9%) | 8 (33.3%) | 0.5571 | 12 (32.4%) | 4 (28.6%) | 0.7909 |
≧600,000 NTDs | 8 (57.1%) | 16 (66.7%) | 25 (67.6%) | 10 (71.4%) | ||
Children Age, year† | 13.79 ± 0.43 | 13.83 ± 0.38 | 0.7238 | 13.82 ± 0.39 | 13.79 ± 0.43 | 0.8117 |
Body composition† | ||||||
Bone age (year) | 13.61 ± 0.40 | 14.85 ± 0.51 | <0.0001 | 13.95 ± 0.35 | 14.71 ± 0.43 | <0.0001 |
Height, cm | 163.67 ± 8.41 | 168.50 ± 5.43 | 0.0379 | 160.17 ± 4.58 | 159.86 ± 5.38 | 0.8352 |
Weight (kg) | 50.24 ± 11.43 | 60.00 ± 11.45 | 0.0157 | 52.24 ± 9.98 | 62.57 ± 15.83 | 0.0358 |
BMI (kg/cm2) | 18.49 ± 2.63 | 21.09 ± 3.70 | 0.0272 | 20.29 ± 3.29 | 24.27 ± 5.00 | 0.0130 |
Genital† | ||||||
Testicular volume | 15.57 ± 3.98 | 19.92 ± 2.50 | 0.0002 | |||
Uterine volume | 14.75 ± 5.33 | 14.92 ± 5.07 | 0.9154 | |||
Ovarian volume | 5.07 ± 1.67 | 5.35 ± 1.85 | 0.6122 | |||
Blood hormone‡ | ||||||
Estradiol (pg/mL) | 35.00 (30.48-40.20) | 40.26 (34.46-47.03) | 0.2120 | 77.20 (61.90-96.29) | 114.40 (70.04-186.90) | 0.0857 |
Total testosterone (ng/mL) | 531.80(456.00-620.20) | 590.80(535.00-652.30) | 0.2127 | 47.50 (39.87-56.60) | 67.17 (49.48-91.17) | 0.0400 |
Progesterone (ng/dL) | 0.33 (0.27-0.41) | 0.42 (0.36-0.48) | 0.0645 | 0.57 (0.40-0.81) | 2.02 (0.92-4.43) | 0.0008 |
FSH (mIU/mL) | 3.20 (2.30-4.46) | 3.66 (3.14-4.27) | 0.3833 | 3.66 (2.99-4.47) | 2.32 (1.46-3.70) | 0.0329 |
LH (mIU/mL) | 1.64 (1.25-2.17) | 2.06 (1.66-2.55) | 0.1918 | 2.70 (2.00-3.65) | 3.67 (2.39-5.63) | 0.2616 |
SHBG (nmol/L) | 28.48 (20.37-39.83) | 21.75 (18.05-26.21) | 0.1150 | 31.90 (27.49-37.01) | 26.76 (17.54-40.82) | 0.4122 |
†Values are presented as mean ± standard deviation and compared using independent Student’s t test.
‡Values are presented as geometric mean [95% confidence interval (95% CI)] and compared using Student’s t test for log-normally distributed samples.
FSH, Follicle-stimulating hormone; LH, Luteinizing hormone; SHBG, Sex hormone-binding globulin.
The bold values indicate significant results (p<0.05).
3.3. Phthalates and pubertal development
The association between different phthalate metabolites and pubertal development in children is presented in Table 2 . The results indicated no associations between maternal phthalate metabolite concentrations and pubertal development in both male and female children at 14 years of age. In boys, a significant association was noted between the Tanner stage at 14 years of age and the geometric mean of MBzP (μg/g creatinine) at 11 years old (6.82 in Tanner stage < 4 vs. 2.96 in Tanner stage ≥ 4, p = 0.0390). In girls, a significant difference was observed in the geometric mean of MEHHP (μg/g creatinine) at 11 years old (32.97 in Tanner stage < 5 vs. 18.13 in Tanner stage 5, p = 0.0497) and MEP (μg/g creatinine) at 2 years old (26.54 in Tanner stage < 5 vs. 65.74 in Tanner stage 5, p = 0.0420). Table 3 presents the findings of the logistic regression analysis. After adjustment for the covariates, including maternal age at delivery, maternal education, paternal education, and family income, the aOR of the higher Tanner stage (≥ 4 for boys and = 5 for girls) at 14 years of age for exposure to urinary phthalate metabolites were estimated. For boys, MBzP at 11 years old was negatively associated with a higher Tanner stage at 14 years of age; the aOR was 0.450 (95% CI: 0.204–0.993) per one increment of log-transformed MBzP (μg/g creatinine). For girls, MEHP at 11 years old (aOR = 0.404, 95% CI: 0.182–0.898) and MEHHP at 11 years old (aOR = 0.158, 95% CI: 0.038–0.653) were negatively associated with a higher Tanner stage at 14 years of age; however, MEP at 2 years old (aOR = 7.201, 95% CI: 1.098–47.221) was positively associated with a higher Tanner stage at 14 years of age.
Table 2.
Boys | Girls | |||||
---|---|---|---|---|---|---|
Tanner stage < 4 | Tanner stage ≥ 4 | p | Tanner stage < 5 | Tanner stage = 5 | p | |
n = 14 | n = 24 | n = 38 | n = 14 | |||
MEHP | ||||||
At prenatal | 16.78(10.47-26.88) | 21.62(13.56-34.45) | 0.4248 | 18.56(13.28-25.94) | 15.80(11.48-21.75) | 0.4722 |
At 2 years old | 20.10(12.03-33.57) | 17.97(11.44-28.22) | 0.7215 | 22.05(15.99-30.40) | 17.04(7.26-39.97) | 0.5263 |
At 5 years old | 14.60(7.89-27.01) | 14.34(8.22-25.04) | 0.9639 | 8.99(5.01-16.13) | 15.35(6.45-36.53) | 0.2797 |
At 8 years old | 8.65(5.32-14.06) | 9.17(5.63-14.94) | 0.8575 | 8.58(5.50-13.40) | 7.43(3.06-18.05) | 0.7583 |
At 11 years old | 12.93(7.47-22.39) | 10.99(7.71-15.66) | 0.6000 | 9.04(6.71-12.18) | 5.25(2.80-9.86) | 0.1120 |
At 14 years old | 5.02(3.29-7.67) | 4.63(3.13-6.87) | 0.7699 | 2.85(1.87-4.36) | 1.98(0.86-4.55) | 0.4146 |
MEHHP | ||||||
At prenatal | 6.27(2.13-18.48) | 17.81(9.12-34.77) | 0.0927 | 4.76(2.34-9.66) | 4.89(1.72-13.86) | 0.9647 |
At 2 years old | 76.74(42.25-139.39) | 132.56(86.63-202.86) | 0.1153 | 95.35(68.43-132.85) | 119.76(38.25-374.91) | 0.6650 |
At 5 years old | 97.81(55.96-170.95) | 67.68(45.52-100.62) | 0.2565 | 75.13(48.94-115.35) | 124.93(58.68-265.97) | 0.2178 |
At 8 years old | 40.94(28.91-57.97) | 43.29(28.88-64.89) | 0.8266 | 44.19(33.56-58.19) | 37.17(22.20-62.22) | 0.5323 |
At 11 years old | 43.55(28.96-65.50) | 32.01(24.56-41.72) | 0.1895 | 32.97(27.29-39.83) | 18.13(10.19-32.23) | 0.0497 |
At 14 years old | 16.83(11.83-23.93) | 13.87(10.91-17.62) | 0.3422 | 14.80(12.45-17.58) | 11.44(8.56-15.28) | 0.1181 |
MEOHP | ||||||
At prenatal | 9.43(4.22-21.07) | 21.25(10.18-44.35) | 0.1241 | 11.99(7.37-19.51) | 15.12(11.70-19.54) | 0.3917 |
At 2 years old | 59.86(32.17-111.37) | 69.96(32.79-149.30) | 0.7313 | 67.52(51.10-89.22) | 75.58(27.73-206.04) | 0.8059 |
At 5 years old | 62.37(43.07-90.32) | 44.90(33.07-60.94) | 0.1518 | 41.63(27.30-63.49) | 66.62(35.36-125.53) | 0.1944 |
At 8 years old | 35.73(26.03-49.04) | 38.16(25.64-56.79) | 0.7867 | 36.85(28.01-48.49) | 31.58(17.81-56.01) | 0.6082 |
At 11 years old | 25.15(10.72-58.96) | 27.42(21.40-35.13) | 0.8365 | 20.12(13.54-29.91) | 9.68(2.97-31.56) | 0.2254 |
At 14 years old | 12.53(9.13-17.20) | 9.32(7.10-12.23) | 0.1431 | 9.40(7.51-11.77) | 7.37(5.31-10.24) | 0.2083 |
ΣDEHP | ||||||
At prenatal | 41.24(24.29-70.03) | 76.24(45.64-127.37) | 0.0872 | 46.93(33.64-65.48) | 41.89(32.81-53.48) | 0.5713 |
At 2 years old | 160.62(90.65-284.58) | 241.12(160.16-363.00) | 0.2163 | 193.68(146.53-256.01) | 217.49(75.46-626.87) | 0.8101 |
At 5 years old | 183.54(114.50-294.21) | 137.75(97.72-194.17) | 0.2981 | 134.05(89.75-200.23) | 227.71(119.19-435.02) | 0.1461 |
At 8 years old | 86.86(62.39-120.94) | 94.16(63.48-139.67) | 0.7433 | 96.22(70.88-130.63) | 79.65(45.10-140.67) | 0.5375 |
At 11 years old | 89.58(57.79-138.85) | 71.88(55.29-93.46) | 0.3673 | 67.73(55.71-82.35) | 38.90(21.80-69.44) | 0.0690 |
At 14 years old | 35.24(25.30-49.09) | 28.39(21.92-36.78) | 0.2840 | 29.05(24.45-34.53) | 21.75(15.55-30.42) | 0.1166 |
MnBP | ||||||
At prenatal | 64.49(41.38-100.52) | 76.95(53.61-110.44) | 0.5177 | 63.36(44.92-89.38) | 91.26(51.41-162.01) | 0.2583 |
At 2 years old | 196.64(106.29-363.77) | 213.02(137.64-329.68) | 0.8167 | 150.69(116.00-195.76) | 180.74(60.77-537.51) | 0.7134 |
At 5 years old | 189.06(76.25-468.75) | 166.85(89.25-311.91) | 0.8083 | 94.43(78.83-113.12) | 127.98(83.01-197.31) | 0.1754 |
At 8 years old | 78.17(53.30-114.64) | 77.24(54.89-108.68) | 0.9609 | 121.43(94.46-156.09) | 93.04(55.20-156.80) | 0.3360 |
At 11 years old | 47.46(32.43-69.45) | 48.34(38.69-60.41) | 0.9297 | 46.51(38.74-55.84) | 47.62(25.90-87.56) | 0.9373 |
At 14 years old | 17.75(12.65-24.90) | 26.11(18.75-36.37) | 0.0942 | 22.83(18.67-27.91) | 22.54(14.71-34.53) | 0.9548 |
MBzP | ||||||
At prenatal | 12.18(9.02-16.44) | 14.29(9.17-22.29) | 0.5353 | 17.82(13.66-23.24) | 10.99(6.22-19.43) | 0.1169 |
At 2 years old | 11.87(5.70-24.70) | 5.49(2.24-13.45) | 0.1593 | 8.74(5.31-14.37) | 4.58(2.30-9.13) | 0.1056 |
At 5 years old | 19.94(11.22-35.44) | 22.24(13.69-36.14) | 0.7560 | 11.61(8.28-16.28) | 16.75(11.34-24.75) | 0.1380 |
At 8 years old | 10.11(5.45-18.78) | 10.78(5.85-19.87) | 0.8777 | 12.00(8.22-17.53) | 16.77(4.57-61.51) | 0.6004 |
At 11 years old | 6.82(3.34-13.90) | 2.96(2.01-4.36) | 0.0390 | 2.99(2.07-4.31) | 2.32(1.27-4.24) | 0.4558 |
At 14 years old | 0.84(0.36-1.96) | 0.51(0.26-1.03) | 0.3439 | 0.72(0.39-1.35) | 1.56(0.53-4.62) | 0.2047 |
MMP | ||||||
At prenatal | 74.37(41.98-131.75) | 39.60(24.17-64.88) | 0.0869 | 46.02(31.47-67.30) | 73.29(44.37-121.06) | 0.1293 |
At 2 years old | 14.02(7.70-25.54) | 25.54(17.16-38.03) | 0.0813 | 15.48(11.95-20.03) | 14.80(9.76-22.45) | 0.8390 |
At 5 years old | 16.13(7.37-35.29) | 25.17(10.90-58.11) | 0.4113 | 15.96(11.81-21.58) | 21.60(12.07-38.65) | 0.3268 |
At 8 years old | 8.85(5.82-13.46) | 6.22(3.61-10.70) | 0.2865 | 8.87(6.43-12.24) | 7.05(3.31-15.02) | 0.5542 |
At 11 years old | 7.67(2.55-23.12) | 8.24(4.37-15.56) | 0.9054 | 10.58(6.86-16.32) | 10.31(5.88-18.10) | 0.9396 |
At 14 years old | 1.99(0.64-6.18) | 2.33(1.00-5.39) | 0.8132 | 2.67(1.34-5.33) | 1.40(0.38-5.17) | 0.3614 |
MEP | ||||||
At prenatal | 77.32(38.28-156.20) | 55.01(41.21-73.43) | 0.3492 | 60.73(44.46-82.95) | 60.37(39.40-92.50) | 0.9814 |
At 2 years old | 28.79(9.46-87.61) | 26.22(19.53-35.19) | 0.8582 | 26.54(18.12-38.86) | 65.74(28.76-150.29) | 0.0420 |
At 5 years old | 28.11(11.43-69.10) | 20.78(12.29-35.12) | 0.5356 | 14.94(9.56-23.34) | 26.71(16.10-44.30) | 0.0752 |
At 8 years old | 11.98(6.33-22.69) | 13.82(9.10-21.00) | 0.6935 | 19.32(12.75-29.26) | 15.97(9.99-25.54) | 0.5269 |
At 11 years old | 17.32(6.43-46.64) | 11.83(5.13-27.25) | 0.5366 | 5.19(2.65-10.15) | 12.99(5.22-32.34) | 0.0976 |
At 14 years old | 6.30(2.16-18.33) | 7.24(3.15-16.63) | 0.8279 | 1.94(0.86-4.42) | 3.88(0.89-16.87) | 0.3915 |
p value was estimated using Student’s t test for log-normally distributed samples
The bold values indicate significant results (p<0.05).
Table 3.
Log-transformed value of urinary phthalate metabolite | Boys | Girls | ||
---|---|---|---|---|
Crude OR (95% CI) | Adjusted OR (95% CI) | Crude OR(95% CI) | Adjusted OR (95% CI) | |
MEHP | ||||
At prenatal | 1.318(0.641-2.710) | 1.166(0.544-2.499) | 0.817(0.406-1.645) | 0.746(0.340-1.637) |
At 2 years old | 0.825(0.290-2.351) | 0.877(0.242-3.180) | 0.669(0.243-1.842) | 0.850(0.289-2.501) |
At 5 years old | 0.984(0.496-1.954) | 1.146(0.546-2.403) | 1.329(0.778-2.271) | 0.893(0.418-1.908) |
At 8 years old | 1.058(0.556-2.014) | 1.065(0.532-2.133) | 0.922(0.569-1.494) | 0.843(0.505-1.409) |
At 11 years old | 0.804(0.374-1.728) | 0.891(0.405-1.960) | 0.556(0.287-1.077) | 0.404(0.182-0.898) |
At 14 years old | 0.891(0.402-1.976) | 1.046(0.433-2.525) | 0.815(0.517-1.285) | 0.797(0.480-1.323) |
MEHHP | ||||
At prenatal | 1.457(0.944-2.249) | 1.447(0.930-2.250) | 1.006(0.744-1.362) | 1.018(0.732-1.417) |
At 2 years old | 2.450(0.802-7.482) | 3.292(0.830-13.063) | 1.300(0.550-3.074) | 1.639(0.600-4.483) |
At 5 years old | 0.590(0.244-1.428) | 0.525(0.199-1.381) | 1.523(0.792-2.929) | 1.511(0.616-3.704) |
At 8 years old | 1.087(0.484-2.438) | 1.208(0.519-2.812) | 0.754(0.320-1.775) | 0.589(0.242-1.433) |
At 11 years old | 0.487(0.171-1.386) | 0.505(0.174-1.462) | 0.311(0.113-0.856) | 0.158(0.038-0.653) |
At 14 years old | 0.556(0.174-1.782) | 0.638(0.180-2.261) | 0.349(0.092-1.329) | 0.255(0.054-1.198) |
MEOHP | ||||
At prenatal | 1.399(0.884-2.215) | 1.333(0.832-2.135) | 1.161(0.700-1.926) | 1.199(0.656-2.193) |
At 2 years old | 1.113(0.580-2.132) | 1.483(0.663-3.315) | 1.194(0.439-3.247) | 1.462(0.489-4.377) |
At 5 years old | 0.408(0.115-1.448) | 0.343(0.088-1.343) | 1.615(0.758-3.443) | 1.561(0.543-4.491) |
At 8 years old | 1.110(0.481-2.561) | 1.228(0.515-2.928) | 0.793(0.353-1.782) | 0.619(0.267-1.438) |
At 11 years old | 1.093(0.562-2.126) | 1.213(0.598-2.462) | 0.745(0.505-1.100) | 0.607(0.357-1.032) |
At 14 years old | 0.430(0.132-1.404) | 0.456(0.122-1.712) | 0.569(0.218-1.485) | 0.526(0.181-1.531) |
ΣDEHP | ||||
At prenatal | 1.806(0.854-3.821) | 1.649(0.778-3.499) | 0.863(0.429-1.738) | 0.842(0.382-1.856) |
At 2 years old | 2.038(0.676-6.142) | 3.023(0.759-12.047) | 1.188(0.449-3.146) | 1.495(0.506-4.418) |
At 5 years old | 0.572(0.205-1.594) | 0.542(0.179-1.643) | 1.700(0.812-3.559) | 1.475(0.556-3.917) |
At 8 years old | 1.136(0.492-2.626) | 1.228(0.518-2.909) | 0.780(0.363-1.676) | 0.636(0.285-1.418) |
At 11 years old | 0.611(0.225-1.657) | 0.671(0.241-1.870) | 0.361(0.142-0.919) | 0.200(0.054-0.739) |
At 14 years old | 0.531(0.167-1.694) | 0.603(0.166-2.193) | 0.342(0.096-1.220) | 0.282(0.068-1.166) |
MnBP | ||||
At prenatal | 1.314(0.574-3.005) | 1.293(0.530-3.155) | 1.422(0.770-2.627) | 1.237(0.629-2.434) |
At 2 years old | 1.131(0.424-3.017) | 1.458(0.464-4.579) | 1.311(0.495-3.472) | 1.563(0.520-4.703) |
At 5 years old | 0.931(0.539-1.605) | 0.838(0.462-1.518) | 3.330(0.741-14.961) | 3.128(0.576-16.999) |
At 8 years old | 0.978(0.402-2.384) | 0.858(0.321-2.291) | 0.626(0.260-1.507) | 0.509(0.195-1.326) |
At 11 years old | 1.060(0.329-3.413) | 1.067(0.310-3.668) | 1.049(0.438-2.512) | 0.966(0.382-2.446) |
At 14 years old | 2.268(0.786-6.542) | 2.305(0.777-6.838) | 0.969(0.369-2.545) | 0.733(0.253-2.122) |
MBzP | ||||
At prenatal | 1.224(0.581-2.578) | 1.221(0.563-2.649) | 0.516(0.241-1.105) | 0.427(0.174-1.048) |
At 2 years old | 0.671(0.362-1.244) | 0.744(0.377-1.467) | 0.554(0.242-1.267) | 0.507(0.165-1.556) |
At 5 years old | 1.139(0.511-2.540) | 1.449(0.533-3.937) | 1.814(0.727-4.527) | 1.396(0.523-3.725) |
At 8 years old | 1.039(0.621-1.740) | 1.078(0.616-1.886) | 1.164(0.768-1.766) | 1.122(0.721-1.747) |
At 11 years old | 0.450(0.214-0.945) | 0.450(0.204-0.993) | 0.804(0.451-1.432) | 0.774(0.387-1.551) |
At 14 years old | 0.807(0.516-1.264) | 0.817(0.505-1.321) | 1.245(0.890-1.743) | 1.234(0.868-1.753) |
MMP | ||||
At prenatal | 0.502(0.217-1.164) | 0.394(0.145-1.075) | 1.533(0.823-2.852) | 1.661(0.800-3.450) |
At 2 years old | 3.436(0.835-14.129) | 3.259(0.752-14.128) | 0.865(0.202-3.702) | 0.345(0.040-2.943) |
At 5 years old | 1.224(0.736-2.037) | 1.211(0.710-2.065) | 1.653(0.656-4.163) | 1.308(0.453-3.776) |
At 8 years old | 0.740(0.395-1.387) | 0.701(0.349-1.408) | 0.808(0.440-1.483) | 0.728(0.382-1.387) |
At 11 years old | 1.028(0.685-1.542) | 0.970(0.595-1.579) | 0.983(0.594-1.625) | 1.035(0.592-1.809) |
At 14 years old | 1.043(0.744-1.463) | 1.109(0.758-1.623) | 0.869(0.654-1.154) | 0.799(0.571-1.118) |
MEP | ||||
At prenatal | 0.659(0.313-1.386) | 0.580(0.251-1.340) | 0.992(0.495-1.990) | 0.847(0.401-1.787) |
At 2 years old | 0.913(0.419-1.989) | 0.603(0.219-1.662) | 3.299(1.013-10.747) | 7.201(1.098-47.221) |
At 5 years old | 0.810(0.442-1.485) | 0.642(0.318-1.295) | 1.798(0.840-3.850) | 1.519(0.672-3.435) |
At 8 years old | 1.156(0.587-2.275) | 1.096(0.541-2.217) | 0.861(0.489-1.519) | 0.885(0.475-1.647) |
At 11 years old | 0.892(0.617-1.289) | 0.835(0.565-1.234) | 1.292(0.919-1.816) | 1.261(0.858-1.854) |
At 14 years old | 1.040(0.734-1.473) | 1.161(0.788-1.710) | 1.121(0.870-1.445) | 1.214(0.913-1.615) |
OR, odds ratio. CI, confidence interval.
Adjusted OR, the odds ratio of higher Tanner stage (≥ 4 for boys and 5 for girls) at 14 years of age for urinary phthalate metabolite levels prenatally and at 2, 5, 8, 11, and 14 years of age was estimated with covariates including maternal age at delivery, maternal education, paternal education, and family income.
The bold values indicate significant results (p<0.05).
The Pearson correlations of the testicular volume, uterine volume, and ovarian volume at 14 years of age with log-transformed urinary phthalate metabolites prenatally and at 2, 5, 8, 11, and 14 years old are shown in Supplementary Table S2 . The uterine volume had a significantly negative correlation with MEHP at 8 years old (r = −0.314), MEOHP at 2 years old (r = −0.367), MnBP at birth (r = −0.305), MnBP at 8 years old (r = −0.353), MBzP at 14 years old (r = −0.347), MMP at birth (r = −0.464), and MMP at 8 years old (r = −0.277). After adjustment for covariates, including maternal age at delivery, maternal education, paternal education, and family income, significant linear associations were found between the uterine volume at 14 years old and MEHP at 8 years old (slope = −1.155, R2 = 0.143), MnBP at 8 years old (slope = −2.382, R2 = 0.182), MBzP at 14 years old (slope = −0.906, R2 = 0.158), MMP prenatally (slope = −2.196, R2 = 0.242), MMP at 8 years old (slope = −1.434, R2 = 0.136), and MEP at 8 years old (slope = −1.342, R2 = 0.138) ( Table 4 ).
Table 4.
Log-transformed value of urinary phthalate metabolite | Independent variable: puberty development at 14 years old | |||||
---|---|---|---|---|---|---|
Boys: Testicular volume (ml) | Girls: Uterine volume (cm3) | Girls: Ovarian volume (cm3) | ||||
Slope | R2 | Slope | R2 | Slope | R2 | |
MEHP | ||||||
At prenatal | 0.118 | 0.025 | -1.266 | 0.097 | -0.267 | 0.053 |
At 2 years old | -0.902 | 0.209 | -1.106 | 0.104 | 0.235 | 0.083 |
At 5 years old | 0.504 | 0.025 | 0.641 | 0.077 | 0.167 | 0.062 |
At 8 years old | -0.356 | 0.033 | -1.155* | 0.143 | -1.342 | 0.138 |
At 11 years old | -0.411 | 0.032 | 0.292 | 0.054 | 0.496 | 0.081 |
At 14 years old | -0.735 | 0.047 | -0.848 | 0.094 | -0.211 | 0.061 |
MEHHP | ||||||
At prenatal | 0.378 | 0.053 | -0.062 | 0.052 | -0.047 | 0.074 |
At 2 years old | -0.204 | 0.182 | -1.642 | 0.149 | -0.116 | 0.205 |
At 5 years old | 0.318 | 0.011 | -0.486 | 0.069 | 0.103 | 0.139 |
At 8 years old | 0.385 | 0.031 | -0.738 | 0.067 | 0.445 | 0.135 |
At 11 years old | -0.753 | 0.041 | 0.266 | 0.052 | 0.271 | 0.085 |
At 14 years old | -1.816 | 0.091 | -1.256 | 0.065 | 0.471 | 0.090 |
MEOHP | ||||||
At prenatal | 0.505 | 0.068 | 0.240 | 0.054 | -0.245 | 0.105 |
At 2 years old | 0.045 | 0.180 | -2.605 | 0.202 | -0.365 | 0.232 |
At 5 years old | 0.321 | 0.008 | -0.419 | 0.066 | 0.177 | 0.144 |
At 8 years old | 0.221 | 0.026 | -0.912 | 0.075 | 0.307 | 0.113 |
At 11 years old | -0.339 | 0.031 | 0.184 | 0.054 | -0.050 | 0.073 |
At 14 years old | -2.259 | 0.131 | -1.639 | 0.092 | 0.118 | 0.073 |
ΣDEHP | ||||||
At prenatal | 0.308 | 0.032 | 1.054 | 0.081 | 0.188 | 0.080 |
At 2 years old | -0.292 | 0.183 | -2.042 | 0.163 | -0.230 | 0.214 |
At 5 years old | 0.550 | 0.017 | -0.367 | 0.065 | 0.056 | 0.136 |
At 8 years old | 0.145 | 0.025 | -1.138 | 0.093 | 0.253 | 0.108 |
At 11 years old | -0.767 | 0.042 | 0.372 | 0.054 | 0.188 | 0.078 |
At 14 years old | -1.912 | 0.099 | -1.570 | 0.076 | 0.399 | 0.086 |
MnBP | ||||||
At prenatal | 0.548 | 0.037 | -1.424 | 0.119 | -0.056 | 0.072 |
At 2 years old | 0.608 | 0.196 | -0.179 | 0.082 | -0.381 | 0.235 |
At 5 years old | -0.551 | 0.043 | 0.822 | 0.067 | -0.258 | 0.141 |
At 8 years old | 0.133 | 0.024 | -2.382* | 0.182 | -0.035 | 0.090 |
At 11 years old | 1.869 | 0.103 | 1.011 | 0.068 | -0.088 | 0.072 |
At 14 years old | -0.307 | 0.027 | 1.345 | 0.076 | -0.237 | 0.078 |
MBzP | ||||||
At prenatal | -0.557 | 0.041 | 0.328 | 0.054 | 0.102 | 0.074 |
At 2 years old | 0.281 | 0.190 | 0.372 | 0.085 | 0.272 | 0.226 |
At 5 years old | 1.386 | 0.096 | 1.994 | 0.140 | 0.158 | 0.140 |
At 8 years old | 0.213 | 0.029 | -0.681 | 0.087 | 0.144 | 0.104 |
At 11 years old | -0.438 | 0.038 | 0.029 | 0.051 | 0.009 | 0.071 |
At 14 years old | -0.608 | 0.082 | -0.906* | 0.158 | -0.023 | 0.072 |
MMP | ||||||
At prenatal | -0.503 | 0.047 | -2.196** | 0.242 | 0.054 | 0.072 |
At 2 years old | 0.400 | 0.187 | -0.232 | 0.082 | -0.209 | 0.205 |
At 5 years old | 0.181 | 0.011 | -0.224 | 0.062 | 0.005 | 0.135 |
At 8 years old | 0.268 | 0.029 | -1.434* | 0.136 | 0.155 | 0.099 |
At 11 years old | 0.264 | 0.033 | -0.267 | 0.055 | 0.003 | 0.071 |
At 14 years old | -0.179 | 0.031 | 0.716 | 0.125 | -0.025 | 0.072 |
MEP | ||||||
At prenatal | -0.759 | 0.054 | -0.267 | 0.053 | 0.439 | 0.121 |
At 2 years old | 0.496 | 0.196 | 0.235 | 0.083 | 0.136 | 0.208 |
At 5 years old | -0.733 | 0.058 | 0.167 | 0.062 | 0.180 | 0.146 |
At 8 years old | 0.880 | 0.074 | -1.342* | 0.138 | 0.236 | 0.114 |
At 11 years old | 0.111 | 0.027 | 0.496 | 0.081 | -0.152 | 0.098 |
At 14 years old | -0.193 | 0.032 | -0.211 | 0.061 | -0.075 | 0.082 |
*p < 0.05, **p < 0.01.
In the multivariable linear model, the covariates included maternal age at delivery, maternal education, paternal education, and family income.
The bold values indicate significant results (p<0.05).
Pearson correlations were estimated between log-transformed blood hormones and log-transformed urinary phthalate metabolites at 14 years of age ( Supplementary Table S3 , Supplementary Figure S1-A–D ), 11 years of age ( Supplementary Table S4 ), 8 years of age ( Supplementary Table S5 ), 5 years of age ( Supplementary Table S6 ), 2 years of age ( Supplementary Table S7 ), and prenatally ( Supplementary Table S8 ). In boys, urinary phthalate metabolite levels at 14 years of age were positively correlated with LH at 14 years of age, and urinary phthalate metabolite levels at 11 years of age were negatively correlated with TT levels at 14 years of age. In girls, urinary phthalate metabolite levels at 11 years of age were negatively correlated with TT levels at 14 years of age, and urinary phthalate metabolite levels at 8 years of age were positively correlated with FSH and LH at 14 years of age.
4. Discussion
In the present follow-up study, we examined the association between the pubertal and reproductive development of 14-year-old male and female children and prenatal and environmental exposure to phthalates. Some urinary phthalate metabolite levels correlated with developmental stages in all children. Regarding the development of reproductive organs, we observed evidence of an association between phthalate exposure and reduced utero size.
According to the survey data of the Ministry of Health and Welfare between 2017 and 2020, 14-year-old boys in Taiwan had an average height of 167.7 cm, weight of 62.8 kg, and BMI of 22.2 kg/m2, while girls had an average height of 159.6 cm, weight of 53 kg, and BMI of 20.7 kg/m2 (33). Our study found that the average height of boys and girls were within the normal growth curve; however, girls who exhibited adult characteristics showed a tendency towards being overweight. During puberty, the levels of GH and IGF-1 increase significantly, leading to a rapid increase in bone and muscle growth (34–36). This growth spurt is further amplified by the increased production of sex steroids, particularly estradiol in females and testosterone in males (34–36). In girls undergoing normal puberty, it is common to observe a physiological increase in body mass index (BMI) and subcutaneous adiposity (37). This phenomenon is likely attributable to the hormonal changes that occur during puberty, including increases in estrogen and other hormones that promote the accumulation of adipose tissue (36–38). In addition, physical activity and participation in sports during adolescence tend to decline, especially among teenage girls (38). This finding does not provide sufficient evidence to infer a causal relationship between height, obesity, and puberty development.
Early puberty can be categorized based on the degree of early onset, which includes premature thelarche (early breast development), premature adrenarche (early pubic hair development), and true precocious puberty (36). Current research indicates that phthalates are associated differently with breast and pubic hair development (36, 39–43). The evidence indicated that MEP is related to early onset of breast development (12, 44), while DEHP and its metabolites may be related to delayed pubic hair development (39–41). Our study results revealed that the MEHP and MEHHP levels of 11-year-old girls were negatively correlated with the Tanner stage at 14 years of age, and the MEP level at 2 years old was associated with a higher Tanner stage at 14 years of age. However, these results cannot establish causality for pubertal delay. The impact of phthalate exposure on pubertal development in girls may have both positive and negative effects.
Animal experiments have demonstrated that exposure to phthalate metabolites before and after birth can lead to decreased TT production, alterations in male reproductive development and function, and delayed puberty (40, 42, 43). However, the available epidemiological data are limited and inconsistent (41, 45–48). A prospective cohort study conducted in Russia has revealed that significantly higher prepubertal urinary concentrations of phthalate metabolites were associated with later pubarche. Specifically, higher concentrations of MiBP, MBzP, and ΣDiNP were associated with a delay in gonadarche (49). In our study, some boys with Tanner stage < 4 exhibited a negative correlation with MBzP exposure at 11 years old, and no correlation was noted between the testicular volume and phthalates. However, at 11 years old, exposure to DEHP, MEHP, MEHHP, and MBzP was negatively associated with testosterone at 14 years of age ( Supplementary Table S3 ), similar to the results of Burns et al. (49). Based on these results, in the future, we will consider exploring the association between phthalate exposure during hormone-sensitive pre-and peri-pubertal stages and pubertal development timing among males.
For boys, maternal phthalate exposure probably has adverse effects on the male fetus, with an increased risk of urogenital developmental abnormalities (11). In an early study, marmoset monkeys were treated daily with 0, 100, 500, or 2500 mg/kg DEHP by oral gavage for 65 weeks from weaning (3 months of age) to sexual maturity (18 months) (50). Even in monkeys treated with 2500 mg/kg DEHP throughout the preadolescent period, no histological changes were noted in the testes (50). However, recent animal and human studies have indicated that phthalate exposure results in adverse seminiferous cord effects (51–54), including changes in seminiferous cord development, Sertoli cell function, germ cell death, and multinucleation of germ cells (51, 52).
A meta-analysis concluded that a positive association exists between phthalate exposure and pubertal timing (12). A Swedish cohort study reported that young men (aged 17–20 years) with the highest prenatal levels of the diisononyl phthalate (DiNP) metabolite had a lower testicular volume, and that DEHP was significantly associated with a lower semen volume (54). A cross-sectional Danish study did not find any association between phthalate exposure, testicular growth, and measurable testosterone levels (48). A Spanish study surveyed the association between phthalates and pubertal development in children aged 7–10 years, and the results revealed that child obesity modifies the association of prenatal phthalate exposure with puberty (21).
Some phthalates can disrupt estrogen signaling, increasing estrogen levels, and possibly causing uterine disorders (55, 56). Our previous study detected a significant association between reduced uterine size and increased exposure to MEHP and total DEHP among 11-year-old girls (8); the results also revealed that the uterine size at 14 years of age was negatively related to MEHP, MnBP, MMP, and MBP levels at 8 years and the MBzP level at 14 years of age. For female marmoset monkeys, increased ovarian and uterine weights and elevated blood estradiol levels were observed in higher dosage groups (500 and 2500 mg/kg) (50). However, these increased uterine weights were associated with a large corpus luteum, a common finding in older female marmosets (50). The uterus is a crucial target organ in mammalian development in terms of sexual maturation, and uterine cells respond to estrogen and progesterone for the regulation of endometrial cell proliferation and differentiation (15). Exposure to DEHP can alter the number of endometrial glands and disrupt their structure in rats and mice (17, 18, 56).
Our data also indicated a positive or negative correlation between the hormonal levels of 14-year-old girls and exposure to some phthalates at specific time points ( Supplementary Tables S3–S8 ). Furthermore, an association was noted between phthalate exposure at the age of 14 years and hormonal performance in girls. The association between sex hormone levels at 14 years of age and phthalate exposure was the most obvious at the ages of 8 and 11 years, respectively. Another critical window is puberty because the targets of endocrine glands usually show a higher sensitivity to hormones during a specific developmental stage (26, 57). Future studies must investigate the correlation between sex hormones and the uterus. Phthalates are typically stored in adipose tissues. The adipose tissue in girls tends to increase and be redistributed during puberty (22, 26). During this period, girls have a higher likelihood of phthalate accumulation in the adipose tissue; however, this relationship requires further research.
There are limitations to this study. First, the approximately 80% sample size loss to follow-up in this birth cohort study may have caused bias in the exposure–outcome association estimates. A temporal relationship or causality could not be inferred between phthalate exposure and the children’s reproductive developmental indices. Furthermore, EDCs widely exist in human lives; this study lacks an analysis of the effects of co-exposure to EDCs. In the future, animal models or human epidemiological studies with careful exposure assessment will be necessary to determine the causal relationship between individual phthalate exposure and its effects on development. These studies should include adequate sample sizes, standardized exposure protocols, and longitudinal assessments to capture the potential cumulative effects of phthalate exposure over time.
In conclusion, exposure to phthalates at certain time points may be associated with reproductive organ development in girls. Determining whether exposure to phthalates affects later reproductive function requires further investigation. Although we observed that exposure to phthalates at a specific time might be associated with subsequent sexual organ or hormonal effects, this assumption arose from an epidemiological study design. These hypotheses should be proven by randomized studies employing relevant animal models or using a more rigorous epidemiology study design.
Data availability statement
The original contributions presented in the study are included in the article/ Supplementary Material . Further inquiries can be directed to the corresponding authors.
Ethics statement
This study was approved by the Ethics Review Committee of the National Health Research Institutes in Taiwan, and informed written consent was obtained before the commencement of the study from each of the pregnant participants, the guardian, and the children ≥ 6 years of age using suitable language for children’s understanding. Written informed consent to participate in this study was provided by the participants’ legal guardian/next of kin.
Author contributions
Conceptualization: P-HS. Formal analysis: J-YH. Funding acquisition: None. Methodology: P-HS, S-LW. Writing–original draft: H-PC. Writing–review and editing: P-HS and H-PC. All authors contributed to the article and approved the submitted version.
Acknowledgments
The authors wish to thank Dr. Cho-Shun Li for offering his expertise and suggestion.
Funding Statement
Special thanks to the grant support from the Ministry of Health and Welfare (EO-102-PP-05, EH-103-SP-02), National Health Research Institutes (EM-111-PP-05), Ministry of Science and Technology (MOST 107-2321-B-400-010, 108-2321-B-400-007), and Chung-Shan Medical University Hospital (CSH-2018-C-014).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fendo.2023.1065918/full#supplementary-material
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Data Availability Statement
The original contributions presented in the study are included in the article/ Supplementary Material . Further inquiries can be directed to the corresponding authors.