Using a biokinetic model to quantify and optimize cortisol measurements for acute and chronic environmental stress exposure during pregnancy.

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  • Additional Information
    • Source:
      Publisher: Nature Pub. Group Country of Publication: United States NLM ID: 101262796 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1559-064X (Electronic) Linking ISSN: 15590631 NLM ISO Abbreviation: J Expo Sci Environ Epidemiol Subsets: MEDLINE
    • Publication Information:
      Original Publication: New York, NY : Nature Pub. Group, c2006-
    • Subject Terms:
      Environmental Exposure* ; Models, Biological*; Biomarkers/*analysis ; Hydrocortisone/*analysis ; Pregnancy Complications/*metabolism; Chronic Disease ; Female ; Hair/chemistry ; Humans ; Pregnancy ; Retrospective Studies ; Stress, Physiological
    • Abstract:
      To fully understand the potentially harmful effects of prenatal stress exposure impacts, it is necessary to quantify long-term and episodic stress exposure during pregnancy. There is a strong body of research relating psychological stress to elevated cortisol levels in biomarkers. Recently, maternal hair has been used to measure cortisol levels, and provides the unique opportunity to assess stress exposure throughout gestation. Understanding how cortisol in the hair is related to more common biomarkers, such as, blood, saliva and urine is currently lacking. Therefore, we developed a biokinetic model to quantify the relationships between hair, blood, saliva and urine cortisol concentrations using published literature values. Hair concentrations were used to retrospectively predict peaks in blood and saliva concentrations over days and months. Simulations showed realistic values in all compartments when results were compared with published literature. We also showed that the significant variability of cortisol in blood leads to a weak relationship between long-term and episodic measurements of stress. To our knowledge, this is the first integrative biokinetic cortisol model for blood, urine, hair and saliva. As such, it makes an important contribution to our understanding of cortisol as a biomarker and will be useful for future epidemiological studies.
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    • Grant Information:
      5P01 ES009601 United States ES NIEHS NIH HHS; 5R25ES021646 United States ES NIEHS NIH HHS; RD832733 United States RD ORD VA; RD83451401 United States RD ORD VA
    • Accession Number:
      0 (Biomarkers)
      WI4X0X7BPJ (Hydrocortisone)
    • Publication Date:
      Date Created: 20131205 Date Completed: 20150511 Latest Revision: 20211021
    • Publication Date:
      20221213
    • Accession Number:
      10.1038/jes.2013.86
    • Accession Number:
      24301353