Umeå University's logo

umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
From cohort to cohort: a similar mixture approach (SMACH) to evaluate exposures to a mixture leading to thyroid-mediated neurodevelopmental effects using NHANES data
Umeå University, Faculty of Science and Technology, Department of Chemistry.ORCID iD: 0000-0001-6097-4657
Umeå University, Faculty of Science and Technology, Department of Chemistry.ORCID iD: 0000-0002-2088-6756
UMR 7221, Phyma, CNRS–Muséum National d’Histoire Naturelle, Sorbonne Université, Paris, France.
UMR 7221, Phyma, CNRS–Muséum National d’Histoire Naturelle, Sorbonne Université, Paris, France.
Show others and affiliations
2023 (English)In: Toxics, E-ISSN 2305-6304, Vol. 11, no 4, article id 331Article in journal (Refereed) Published
Abstract [en]

Prenatal exposure to a mixture (MIX N) of eight endocrine-disrupting chemicals has been associated with language delay in children in a Swedish pregnancy cohort. A novel approach was proposed linking this epidemiological association with experimental evidence, where the effect of MIX N on thyroid hormone signaling was assessed using the Xenopus eleuthero-embryonic thyroid assay (XETA OECD TG248). From this experimental data, a point of departure (PoD) was derived based on OECD guidance. Our aim in the current study was to use updated toxicokinetic models to compare exposures of women of reproductive age in the US population to MIX N using a Similar Mixture Approach (SMACH). Based on our findings, 66% of women of reproductive age in the US (roughly 38 million women) had exposures sufficiently similar to MIX N. For this subset, a Similar Mixture Risk Index (SMRIHI) was calculated comparing their exposures to the PoD. Women with SMRIHI > 1 represent 1.1 million women of reproductive age. Older women, Mexican American and other/multi race women were less likely to have high SMRIHI values compared to Non-Hispanic White women. These findings indicate that a reference mixture of chemicals identified in a Swedish cohort—and tested in an experimental model for establishment of (PoDs)—is also of health relevance in a US population.

Place, publisher, year, edition, pages
MDPI, 2023. Vol. 11, no 4, article id 331
Keywords [en]
causal inference, endocrine-disrupting chemicals, mixtures risk assessment
National Category
Occupational Health and Environmental Health Gynaecology, Obstetrics and Reproductive Medicine
Identifiers
URN: urn:nbn:se:umu:diva-207870DOI: 10.3390/toxics11040331ISI: 000979631100001PubMedID: 37112558Scopus ID: 2-s2.0-85153771851OAI: oai:DiVA.org:umu-207870DiVA, id: diva2:1755765
Funder
EU, Horizon 2020, 234880EU, Horizon 2020, 825759Available from: 2023-05-09 Created: 2023-05-09 Last updated: 2025-02-11Bibliographically approved

Open Access in DiVA

fulltext(315 kB)99 downloads
File information
File name FULLTEXT01.pdfFile size 315 kBChecksum SHA-512
16bdb438edc2380e4e1202fa8a8e8996047777f3cead5e6bb0abcf4f84653d23b1d6e8cbfc746a44d4be16529eaa2d711fef6f496d18a7e386a4e65c0cf5b9a4
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMedScopus

Authority records

Sapounidou, MariaAndersson, Patrik L.

Search in DiVA

By author/editor
Sapounidou, MariaAndersson, Patrik L.
By organisation
Department of Chemistry
In the same journal
Toxics
Occupational Health and Environmental HealthGynaecology, Obstetrics and Reproductive Medicine

Search outside of DiVA

GoogleGoogle Scholar
Total: 99 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 443 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf