ArticleEnvironmental science & technology2025
Association of Phthalate Exposure with Respiratory and Allergic Symptoms and Type 2 and Non-Type 2 Inflammation: The Hokkaido Study.
Article in Environmental science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- 4-Hydroxynonenal, a Potential Biomarker for Lung Inflammatory Diseases.International journal of molecular sciences · 2026Review
- Exploring the Molecular Mechanisms by Which DEHP Promotes the Occurrence and Progression of Kidney Stones Based on Network Toxicology and Experimental Validation.International journal of general medicine · 2026Article
- Phthalates and epigenetics: An emerging public health concern.Current research in toxicology · 2025Review
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Phthalate exposure is linked to asthma and allergic symptoms, yet their individual and combined effects on symptoms and inflammatory biomarkers, type 2 (T2) and non-T2, remain unexplored. This study examined the association of phthalate metabolites with allergic symptoms (wheeze, allergic rhinoconjunctivitis, and eczema), T2 biomarker (fraction of exhaled nitric oxide (FeNO), blood eosinophil count, and total immunoglobulin E (IgE)), and non-T2 biomarker (absolute neutrophil count (ANC)) and also their association with oxidative stress biomarkers, such as 4-hydroxynonenal, hexanoyl-lysine, and 8-hydroxy-2-deoxyguanosine. Ten urinary phthalate metabolites were measured using UPLC-MS/MS in 421 children (aged 9-12 years) from The Hokkaido Cohort, Japan. Symptoms were defined using the International Study of Asthma and Allergies in Childhood questionnaire, and biomarkers were measured in blood. Logistic regression assessed individual metabolites, while quantile-g computation and Bayesian kernel machine regression analyzed mixture effects on binary outcomes. Individual analysis showed that MnBP (mono-
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Registered trials
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