PMID- 35051840
OWN - NLM
STAT- MEDLINE
DCOM- 20220316
LR  - 20220531
IS  - 1873-6750 (Electronic)
IS  - 0160-4120 (Linking)
VI  - 160
DP  - 2022 Feb
TI  - Phthalates mixture on allergies and oxidative stress biomarkers among children: 
      The Hokkaido study.
PG  - 107083
LID - S0160-4120(22)00008-3 [pii]
LID - 10.1016/j.envint.2022.107083 [doi]
AB  - BACKGROUND: Exposure to individual phthalates and the mediation effect of 
      oxidative stress in association with asthma and allergic symptoms have been 
      studied previously. Little is known about the mixture effect of phthalates on 
      health outcomes. Thus, we investigated the effect of a mixture of ten phthalate 
      metabolites in association with wheeze, rhino-conjunctivitis, and eczema. The 
      mediating effect of three oxidative stress biomarkers was also assessed. METHODS: 
      Levels of 10 phthalate metabolites and 3 oxidative stress biomarkers were 
      measured in 386 urine samples from 7-year-old children. Parents reported 
      demographic and allergic symptoms using ISAAC questionnaires. Logistic regression 
      for individual metabolites and mixture analysis weighted quantile sum (WQS) and 
      Bayesian kernel machine regression (BKMR) were fitted to examine the association 
      between phthalate metabolite exposure and health outcomes. Baron and Kenny's 
      regression approach was used for mediation analysis. RESULTS: In logistic 
      regression model showed mono (2-ethyl-5-carboxypentyl) phthalate (MECPP) 
      (OR = 1.41, 95% CI 1.02-1.97) and mono carboxy-isononyl phthalate (cx-MINP) 
      (OR = 1.40, 95% CI 1.07-1.86) were associated with wheeze. The WQS index had a 
      significant association (OR = 1.46, 95% CI 1.09-1.96) with wheeze and (OR = 1.40, 
      95% CI 1.07-1.82) with eczema. Mono-isononyl phthalate (MINP) and 
      mono-(2-ethyl-5-oxohexyl) phthalate (MEOHP) were the most highly weighted 
      metabolites. In the BKMR model, diisononyl phthalate (DINP) metabolites showed 
      the highest group posterior inclusion probability (PIP). Among DINP metabolites, 
      MINP in wheeze, cx-MINP in rhino-conjunctivitis and OH-MINP in eczema showed the 
      highest conditional PIPs. The overall metabolites mixture effect was associated 
      with eczema. We did not find any mediation of oxidative stress in the association 
      between phthalates and symptoms. No significant association between phthalate 
      metabolites and oxidative stress was observed in this study. CONCLUSION: Mixture 
      of phthalate metabolites were associated with wheeze and eczema. The main 
      contributors to the association were DEHP and DINP metabolites. No mediation of 
      oxidative stress was observed.
CI  - Copyright (c) 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.
FAU - Ketema, Rahel Mesfin
AU  - Ketema RM
AD  - Center for Environmental and Health Sciences, Hokkaido University, Sapporo, 
      Japan; Graduate School of Health Sciences, Hokkaido University, Sapporo, Japan.
FAU - Ait Bamai, Yu
AU  - Ait Bamai Y
AD  - Center for Environmental and Health Sciences, Hokkaido University, Sapporo, 
      Japan.
FAU - Miyashita, Chihiro
AU  - Miyashita C
AD  - Center for Environmental and Health Sciences, Hokkaido University, Sapporo, 
      Japan.
FAU - Saito, Takeshi
AU  - Saito T
AD  - Faculty of Health Sciences, Hokkaido University, Sapporo, Japan.
FAU - Kishi, Reiko
AU  - Kishi R
AD  - Center for Environmental and Health Sciences, Hokkaido University, Sapporo, 
      Japan.
FAU - Ikeda-Araki, Atsuko
AU  - Ikeda-Araki A
AD  - Center for Environmental and Health Sciences, Hokkaido University, Sapporo, 
      Japan; Faculty of Health Sciences, Hokkaido University, Sapporo, Japan. 
      Electronic address: AAraki@cehs.hokudai.ac.jp.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20220117
PL  - Netherlands
TA  - Environ Int
JT  - Environment international
JID - 7807270
RN  - 0 (Biomarkers)
RN  - 0 (Environmental Pollutants)
RN  - 0 (Phthalic Acids)
RN  - 6O7F7IX66E (phthalic acid)
SB  - IM
MH  - Bayes Theorem
MH  - Biomarkers/urine
MH  - Child
MH  - Environmental Exposure/statistics & numerical data
MH  - *Environmental Pollutants/toxicity/urine
MH  - Humans
MH  - *Hypersensitivity/epidemiology/etiology
MH  - Oxidative Stress/physiology
MH  - *Phthalic Acids/metabolism/toxicity
OTO - NOTNLM
OT  - Bayesian kernel machine regression
OT  - Chemical mixtures effect
OT  - Children
OT  - Oxidative stress
OT  - Phthalates
OT  - Weighted quantile sum
EDAT- 2022/01/21 06:00
MHDA- 2022/03/17 06:00
CRDT- 2022/01/20 20:26
PHST- 2021/08/30 00:00 [received]
PHST- 2022/01/06 00:00 [revised]
PHST- 2022/01/06 00:00 [accepted]
PHST- 2022/01/21 06:00 [pubmed]
PHST- 2022/03/17 06:00 [medline]
PHST- 2022/01/20 20:26 [entrez]
AID - S0160-4120(22)00008-3 [pii]
AID - 10.1016/j.envint.2022.107083 [doi]
PST - ppublish
SO  - Environ Int. 2022 Feb;160:107083. doi: 10.1016/j.envint.2022.107083. Epub 2022 
      Jan 17.