Occurrence and Prioritization of Human Androgen Receptor Disruptors in Sewage Sludges Across China.
Tongtong XiangYanna LiuYunhe GuoJie ZhangJifu LiuLinlin YaoYuxiang MaoXiaoxi YangJun LiuRunzeng LiuXiaoting JinJian-Bo ShiGuangbo QuGui-Bin JiangPublished in: Environmental science & technology (2024)
The global practice of reusing sewage sludge in agriculture and its landfill disposal reintroduces environmental contaminants, posing risks to human and ecological health. This study screened sewage sludge from 30 Chinese cities for androgen receptor (AR) disruptors, utilizing a disruptor list from the Toxicology in the 21st Century program (Tox21), and identified 25 agonists and 33 antagonists across diverse use categories. Predominantly, natural products 5α-dihydrotestosterone and thymidine emerged as agonists, whereas the industrial intermediate caprolactam was the principal antagonist. In-house bioassays for identified disruptors displayed good alignment with Tox21 potency data, validating employing Tox21 toxicity data for theoretical toxicity estimations. Potency calculations revealed 5α-dihydrotestosterone and two pharmaceuticals (17β-trenbolone and testosterone isocaproate) as the most potent AR agonists and three dyes (rhodamine 6G, Victoria blue BO, and gentian violet) as antagonists. Theoretical effect contribution evaluations prioritized 5α-dihydrotestosterone and testosterone isocaproate as high-risk AR agonists and caprolactam, rhodamine 6G, and 8-hydroxyquinoline (as a biocide and a preservative) as key antagonists. Notably, 16 agonists and 20 antagonists were newly reported in the sludge, many exhibiting significant detection frequencies, concentrations, and/or toxicities, demanding future scrutiny. Our study presents an efficient strategy for estimating environmental sample toxicity and identifying key toxicants, thereby supporting the development of appropriate sludge management strategies.
Keyphrases
- sewage sludge
- municipal solid waste
- anaerobic digestion
- heavy metals
- human health
- wastewater treatment
- endothelial cells
- healthcare
- risk assessment
- climate change
- induced pluripotent stem cells
- electronic health record
- primary care
- replacement therapy
- fluorescent probe
- big data
- quality improvement
- drinking water
- machine learning
- current status
- health information
- deep learning
- social media
- molecular dynamics simulations
- sensitive detection
- loop mediated isothermal amplification
- african american
- aqueous solution
- density functional theory
- real time pcr