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Lislien M, Kuchovska E, Kapr J, Duale N, Andersen JM, Dirven H, Myhre O, Fritsche E, Koch K, Wojewodzic MW. Transcriptomic characterization of 2D and 3D human induced pluripotent stem cell-based in vitro models as New Approach Methodologies for developmental neurotoxicity testing. Toxicology 2025; 510:154000. [PMID: 39551125 DOI: 10.1016/j.tox.2024.154000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2024] [Revised: 10/30/2024] [Accepted: 11/13/2024] [Indexed: 11/19/2024]
Abstract
The safety and developmental neurotoxicity (DNT) potential of chemicals remain critically understudied due to limitations of current in vivo testing guidelines, which are low throughput, resource-intensive, and hindered by species differences that limit their relevance to human health. To address these issues, robust New Approach Methodologies (NAMs) using deeply characterized cell models are essential. This study presents the comprehensive transcriptomic characterization of two advanced human-induced pluripotent stem cell (hiPSC)-derived models: a 2D adherent and a 3D neurosphere model of human neural progenitor cells (hiNPCs) differentiated up to 21 days. Using high-throughput RNA sequencing, we compared gene expression profiles of 2D and 3D models at three developmental stages (3, 14, and 21 days of differentiation). Both models exhibit maturation towards post-mitotic neurons, with the 3D model maturing faster and showing a higher prevalence of GABAergic neurons, while the 2D model is enriched with glutamatergic neurons. Both models demonstrate broad applicability domains, including excitatory and inhibitory neurons, astrocytes, and key endocrine and especially the understudied cholinergic receptors. Comparison with human fetal brain samples confirms their physiological relevance. This study provides novel in-depth applicability insights into the temporal and dimensional aspects of hiPSC-derived neural models for DNT testing. The complementary use of these two models is highlighted: the 2D model excels in synaptogenesis assessment, while the 3D model is particularly suited for neural network formation as observed as well in previous functional studies with these models. This research marks a significant advancement in developing human-relevant, high-throughput DNT assays for regulatory purposes.
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Affiliation(s)
- Malene Lislien
- Department of Chemical Toxicology, Norwegian Institute of Public Health, Oslo, Norway
| | - Eliska Kuchovska
- IUF-Leibniz-Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - Julia Kapr
- IUF-Leibniz-Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - Nur Duale
- Department of Chemical Toxicology, Norwegian Institute of Public Health, Oslo, Norway
| | - Jill Mari Andersen
- Department of Chemical Toxicology, Norwegian Institute of Public Health, Oslo, Norway
| | - Hubert Dirven
- Department of Chemical Toxicology, Norwegian Institute of Public Health, Oslo, Norway
| | - Oddvar Myhre
- Department of Chemical Toxicology, Norwegian Institute of Public Health, Oslo, Norway
| | - Ellen Fritsche
- IUF-Leibniz-Research Institute for Environmental Medicine, Düsseldorf, Germany; DNTOX GmbH, Düsseldorf, Germany; Swiss Centre for Applied Human Toxicology, Basel, Switzerland
| | - Katharina Koch
- IUF-Leibniz-Research Institute for Environmental Medicine, Düsseldorf, Germany; DNTOX GmbH, Düsseldorf, Germany
| | - Marcin W Wojewodzic
- Department of Chemical Toxicology, Norwegian Institute of Public Health, Oslo, Norway; Department of Research, Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway.
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Zhang B, Wang Z, Zhang J, Dai Y, Ding J, Zhou X, Qi X, Wu C, Zhou Z. Prenatal exposure to neonicotinoid insecticides, fetal endocrine hormones and birth size: Findings from SMBCS. ENVIRONMENT INTERNATIONAL 2024; 193:109111. [PMID: 39500120 DOI: 10.1016/j.envint.2024.109111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 10/22/2024] [Accepted: 10/29/2024] [Indexed: 11/25/2024]
Abstract
BACKGROUND Neonicotinoid insecticides (NNIs) were reported to be endocrine disruptors and cause adverse health effects in human. However, epidemiological evidence about the effect of prenatal NNIs exposure on birth outcome and hormones remains limited. OBJECTIVES This study aimed to explore the effects of prenatal NNIs exposure on neonatal birth size and endocrine hormones, and assess the potential mediating role of hormones. METHODS The study included 860 mother-child pairs from the Sheyang Mini Birth Cohort Study. 12 parent NNIs (p-NNIs) and 6 metabolites of NNIs (m-NNIs) were measured in maternal urine samples collected on their delivery days, and 5 thyroid hormones and 2 sex hormones were analyzed in cord serum. The concentrations of p-NNIs and its specific metabolite(s) were summed to characterize the role of each class of NNIs. Generalized linear model and weighted quantile sum regression were used to examine the impact of prenatal NNIs exposure on birth size and endocrine hormones, and potential mediating roles of hormones were further explored using mediation analysis. RESULTS Higher detection frequencies of m-NNIs were observed than those in p-NNIs. A decrease in neonatal head circumference for gestation age z-score was associated with a 10-fold increase in 5-OH-IMI (β = -0.15, 95 %CI: -0.26, -0.03), ∑DIN (β = -0.22, 95 %CI: -0.40, -0.03), ∑IMI (β = -0.20, 95 %CI: -0.35, -0.06) and ∑NNIs (β = -0.23, 95 %CI: -0.42, -0.04). ∑IMI and ∑DIN were the major contributors to the significantly negative mixture effect and no sex-specific effect was observed. Negative associations were observed between ∑DIN and TT3 (β = -0.013, 95 %CI: -0.025, -0.002), ∑IMI and T (β = -0.035, 95 %CI: -0.065, -0.004), respectively. Furthermore, TT3 and T demonstrated 6.7 % and 6.1 % mediating effects on the negative association of prenatal ∑DIN and ∑IMI exposure with head circumference. CONCLUSIONS Our findings suggested the potential endocrine disruptive properties of NNIs and their impacts on head circumference. Endocrine hormones may partly mediate these associations.
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Affiliation(s)
- Boya Zhang
- School of Public Health / MOE Key Laboratory of Public Health Safety/ NHC Key Laboratory of Health Technology Assessmen, Fudan University, No.130 Dong'an Road, Shanghai 200032, China
| | - Zheng Wang
- School of Public Health / MOE Key Laboratory of Public Health Safety/ NHC Key Laboratory of Health Technology Assessmen, Fudan University, No.130 Dong'an Road, Shanghai 200032, China
| | - Jiming Zhang
- School of Public Health / MOE Key Laboratory of Public Health Safety/ NHC Key Laboratory of Health Technology Assessmen, Fudan University, No.130 Dong'an Road, Shanghai 200032, China.
| | - Yiming Dai
- School of Public Health / MOE Key Laboratory of Public Health Safety/ NHC Key Laboratory of Health Technology Assessmen, Fudan University, No.130 Dong'an Road, Shanghai 200032, China
| | - Jiayun Ding
- School of Public Health / MOE Key Laboratory of Public Health Safety/ NHC Key Laboratory of Health Technology Assessmen, Fudan University, No.130 Dong'an Road, Shanghai 200032, China
| | - Xingzu Zhou
- School of Public Health / MOE Key Laboratory of Public Health Safety/ NHC Key Laboratory of Health Technology Assessmen, Fudan University, No.130 Dong'an Road, Shanghai 200032, China
| | - Xiaojuan Qi
- School of Public Health / MOE Key Laboratory of Public Health Safety/ NHC Key Laboratory of Health Technology Assessmen, Fudan University, No.130 Dong'an Road, Shanghai 200032, China; Zhejiang Provincial Center for Disease Control and Prevention, No. 3399 Binsheng Road, Hangzhou 310051, China
| | - Chunhua Wu
- School of Public Health / MOE Key Laboratory of Public Health Safety/ NHC Key Laboratory of Health Technology Assessmen, Fudan University, No.130 Dong'an Road, Shanghai 200032, China
| | - Zhijun Zhou
- School of Public Health / MOE Key Laboratory of Public Health Safety/ NHC Key Laboratory of Health Technology Assessmen, Fudan University, No.130 Dong'an Road, Shanghai 200032, China.
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Liao Q, Huang H, Tang P, Liang J, Chen J, Mu C, Pan D, Lv F, Zhou L, Long J, Chen Q, Zeng X, Liu S, Huang D, Qiu X. Associations of prenatal exposure to per- and polyfluoroalkyl substances and fetal sex hormones in the Guangxi Zhuang Birth Cohort Study: Greater effect of long-chain PFAS. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 272:116054. [PMID: 38310819 DOI: 10.1016/j.ecoenv.2024.116054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 01/07/2024] [Accepted: 01/28/2024] [Indexed: 02/06/2024]
Abstract
Fetal sex hormone homeostasis disruption could lead to reproductive and developmental abnormalities. However, previous studies have reported inconsistent findings regarding the association of maternal per- and polyfluoroalkyl substances (PFAS) exposure with fetal sex hormone levels. A total of 277 mother-infant pairs from the Guangxi Zhuang Birth Cohort Study between 2015 and 2019 were selected. We quantified nine PFAS in maternal serum in early pregnancy, and detected three sex hormones, namely, estradiol (E2), progesterone (P4) and testosterone (TT), in cord blood. The generalized linear model (GLM) and Bayesian kernel machine regression (BKMR) model were used for single- and multiple-exposure analyses, respectively. In the GLM, there was no significant association between an individual PFAS and any hormone level or the E2/TT ratio, but a negative association between perfluorododecanoic acid (PFDoA) exposure and P4 levels in female infants was observed after stratification by sex. In the BKMR, a mixture of nine PFAS was positively associated with E2 levels and the E2/TT ratio, with the same main contributors, i.e., perfluoroundecanoic acid (PFUnA). And PFAS mixtures were not associated with P4 or TT levels. After stratification by infant sex, positive associations of PFAS mixtures with E2 levels and the E2/TT ratio were observed only in male infants, with the same main contributors, i.e., PFUnA. There was a positive association between PFAS mixtures and P4 levels in male infants, in which PFUnA was the main contributor; but a reverse association between PFAS mixtures and P4 levels in female infants, in which PFDoA was the main contributor. This study suggested that prenatal exposure to PFAS mixtures is associated with fetal sex hormones, and long-chain PFAS may play an important role in this association. Furthermore, sex differences in the association of maternal PFAS exposure with E2 and P4 levels need additional attention.
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Affiliation(s)
- Qian Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Huishen Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Peng Tang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, China
| | - Jun Liang
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Jiehua Chen
- Department of Microbiology, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Changhui Mu
- Department of Sanitary Chemistry, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Dongxiang Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Fangfang Lv
- Department of Maternal, Child and Adolescent Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Lihong Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Jinghua Long
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Qian Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Xiaoyun Zeng
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China; Department of Epidemiology and Health Statistics, School of Public Health, Guilin Medical University, Guilin 541001, Guangxi, China
| | - Shun Liu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Dongping Huang
- Department of Microbiology, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Xiaoqiang Qiu
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China.
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