Examining associations between prenatal biomarkers of oxidative stress and ASD-related outcomes using quantile regression.

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Title: Examining associations between prenatal biomarkers of oxidative stress and ASD-related outcomes using quantile regression.
Authors: Carey, Meghan E., Rando, Juliette, Melnyk, Stepan, James, S Jill, Snyder, Nathaniel, Salafia, Carolyn, Croen, Lisa A., Fallin, M Daniele, Hertz-Picciotto, Irva, Volk, Heather, Newschaffer, Craig, Lyall, Kristen
Source: Journal of Autism & Developmental Disorders. Aug2023, Vol. 53 Issue 8, p2975-2985. 11p. 2 Charts, 2 Graphs.
Subjects: Autism risk factors, Biomarkers, Glutathione, Confidence intervals, Regression analysis, Oxidative stress, Risk assessment, Research funding, Descriptive statistics, Prenatal care, Tyrosine, Children, Pregnancy
Abstract: We examined associations between prenatal oxidative stress (OS) and child autism-related outcomes. Women with an autistic child were followed through a subsequent pregnancy and that younger sibling's childhood. Associations between glutathione (GSH), glutathione disulfide (GSSG), 8-oxo-deoxyguanine (8-OHdG), and nitrotyrosine and younger sibling Social Responsiveness Scale (SRS) scores were examined using quantile regression. Increasing GSH:GSSG (suggesting decreasing OS) was associated with minor increases in SRS scores (50th percentile β: 1.78, 95% CI: 0.67, 3.06); no other associations were observed. Results from this cohort with increased risk for autism do not support a strong relationship between OS in late pregnancy and autism-related outcomes. Results may be specific to those with enriched autism risk; future work should consider other timepoints and biomarkers. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Autism & Developmental Disorders is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Examining associations between prenatal biomarkers of oxidative stress and ASD-related outcomes using quantile regression.
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  Data: <searchLink fieldCode="AR" term="%22Carey%2C+Meghan+E%2E%22">Carey, Meghan E.</searchLink><br /><searchLink fieldCode="AR" term="%22Rando%2C+Juliette%22">Rando, Juliette</searchLink><br /><searchLink fieldCode="AR" term="%22Melnyk%2C+Stepan%22">Melnyk, Stepan</searchLink><br /><searchLink fieldCode="AR" term="%22James%2C+S+Jill%22">James, S Jill</searchLink><br /><searchLink fieldCode="AR" term="%22Snyder%2C+Nathaniel%22">Snyder, Nathaniel</searchLink><br /><searchLink fieldCode="AR" term="%22Salafia%2C+Carolyn%22">Salafia, Carolyn</searchLink><br /><searchLink fieldCode="AR" term="%22Croen%2C+Lisa+A%2E%22">Croen, Lisa A.</searchLink><br /><searchLink fieldCode="AR" term="%22Fallin%2C+M+Daniele%22">Fallin, M Daniele</searchLink><br /><searchLink fieldCode="AR" term="%22Hertz-Picciotto%2C+Irva%22">Hertz-Picciotto, Irva</searchLink><br /><searchLink fieldCode="AR" term="%22Volk%2C+Heather%22">Volk, Heather</searchLink><br /><searchLink fieldCode="AR" term="%22Newschaffer%2C+Craig%22">Newschaffer, Craig</searchLink><br /><searchLink fieldCode="AR" term="%22Lyall%2C+Kristen%22">Lyall, Kristen</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Autism+%26+Developmental+Disorders%22">Journal of Autism & Developmental Disorders</searchLink>. Aug2023, Vol. 53 Issue 8, p2975-2985. 11p. 2 Charts, 2 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Autism+risk+factors%22">Autism risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22Biomarkers%22">Biomarkers</searchLink><br /><searchLink fieldCode="DE" term="%22Glutathione%22">Glutathione</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Oxidative+stress%22">Oxidative stress</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Prenatal+care%22">Prenatal care</searchLink><br /><searchLink fieldCode="DE" term="%22Tyrosine%22">Tyrosine</searchLink><br /><searchLink fieldCode="DE" term="%22Children%22">Children</searchLink><br /><searchLink fieldCode="DE" term="%22Pregnancy%22">Pregnancy</searchLink>
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  Data: We examined associations between prenatal oxidative stress (OS) and child autism-related outcomes. Women with an autistic child were followed through a subsequent pregnancy and that younger sibling's childhood. Associations between glutathione (GSH), glutathione disulfide (GSSG), 8-oxo-deoxyguanine (8-OHdG), and nitrotyrosine and younger sibling Social Responsiveness Scale (SRS) scores were examined using quantile regression. Increasing GSH:GSSG (suggesting decreasing OS) was associated with minor increases in SRS scores (50th percentile β: 1.78, 95% CI: 0.67, 3.06); no other associations were observed. Results from this cohort with increased risk for autism do not support a strong relationship between OS in late pregnancy and autism-related outcomes. Results may be specific to those with enriched autism risk; future work should consider other timepoints and biomarkers. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Autism & Developmental Disorders is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1007/s10803-022-05625-9
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 2975
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      – SubjectFull: Autism risk factors
        Type: general
      – SubjectFull: Biomarkers
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      – SubjectFull: Glutathione
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      – SubjectFull: Confidence intervals
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      – SubjectFull: Regression analysis
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      – SubjectFull: Oxidative stress
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      – SubjectFull: Risk assessment
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      – SubjectFull: Research funding
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      – SubjectFull: Descriptive statistics
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              Text: Aug2023
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