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Maternal mid-gestational and child cord blood immune signatures are strongly associated with offspring risk of ASD

Epidemiological studies and work in animal models indicate that immune activation may be a risk factor for autism spectrum disorders (ASD). We measured levels of 60 cytokines and growth factors in 869 maternal mid-gestational (MMG) and 807 child cord blood (CB) plasma samples from 457 ASD (385 boys,...

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Autores principales: Che, Xiaoyu, Hornig, Mady, Bresnahan, Michaeline, Stoltenberg, Camilla, Magnus, Per, Surén, Pål, Mjaaland, Siri, Reichborn-Kjennerud, Ted, Susser, Ezra, Lipkin, W. Ian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9106807/
https://www.ncbi.nlm.nih.gov/pubmed/34987169
http://dx.doi.org/10.1038/s41380-021-01415-4
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author Che, Xiaoyu
Hornig, Mady
Bresnahan, Michaeline
Stoltenberg, Camilla
Magnus, Per
Surén, Pål
Mjaaland, Siri
Reichborn-Kjennerud, Ted
Susser, Ezra
Lipkin, W. Ian
author_facet Che, Xiaoyu
Hornig, Mady
Bresnahan, Michaeline
Stoltenberg, Camilla
Magnus, Per
Surén, Pål
Mjaaland, Siri
Reichborn-Kjennerud, Ted
Susser, Ezra
Lipkin, W. Ian
author_sort Che, Xiaoyu
collection PubMed
description Epidemiological studies and work in animal models indicate that immune activation may be a risk factor for autism spectrum disorders (ASD). We measured levels of 60 cytokines and growth factors in 869 maternal mid-gestational (MMG) and 807 child cord blood (CB) plasma samples from 457 ASD (385 boys, 72 girls) and 497 control children (418 boys, 79 girls) from the Norwegian Autism Birth Cohort. We analyzed associations first using sex-stratified unadjusted and adjusted logistic regression models, and then employed machine learning strategies (LASSO + interactions, Random Forests, XGBoost classifiers) with cross-validation and randomly sampled test set evaluation to assess the utility of immune signatures as ASD biomarkers. We found prominent case-control differences in both boys and girls with alterations in a wide range of analytes in MMG and CB plasma including but not limited to IL1RA, TNFα, Serpin E1, VCAM1, VEGFD, EGF, CSF1 and CSF2. MMG findings were most striking, with particularly strong effect sizes in girls. Models did not change appreciably upon adjustment for maternal conditions, medication use or emotional distress ratings. Findings were corroborated using machine learning approaches, with area under the receiver operating characteristic curve values in the test sets ranging from 0.771 to 0.965. Our results are consistent with gestational immunopathology in ASD, may provide insights into sex-specific differences, and have the potential to lead to biomarkers for early diagnosis.
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spelling pubmed-91068072022-07-05 Maternal mid-gestational and child cord blood immune signatures are strongly associated with offspring risk of ASD Che, Xiaoyu Hornig, Mady Bresnahan, Michaeline Stoltenberg, Camilla Magnus, Per Surén, Pål Mjaaland, Siri Reichborn-Kjennerud, Ted Susser, Ezra Lipkin, W. Ian Mol Psychiatry Article Epidemiological studies and work in animal models indicate that immune activation may be a risk factor for autism spectrum disorders (ASD). We measured levels of 60 cytokines and growth factors in 869 maternal mid-gestational (MMG) and 807 child cord blood (CB) plasma samples from 457 ASD (385 boys, 72 girls) and 497 control children (418 boys, 79 girls) from the Norwegian Autism Birth Cohort. We analyzed associations first using sex-stratified unadjusted and adjusted logistic regression models, and then employed machine learning strategies (LASSO + interactions, Random Forests, XGBoost classifiers) with cross-validation and randomly sampled test set evaluation to assess the utility of immune signatures as ASD biomarkers. We found prominent case-control differences in both boys and girls with alterations in a wide range of analytes in MMG and CB plasma including but not limited to IL1RA, TNFα, Serpin E1, VCAM1, VEGFD, EGF, CSF1 and CSF2. MMG findings were most striking, with particularly strong effect sizes in girls. Models did not change appreciably upon adjustment for maternal conditions, medication use or emotional distress ratings. Findings were corroborated using machine learning approaches, with area under the receiver operating characteristic curve values in the test sets ranging from 0.771 to 0.965. Our results are consistent with gestational immunopathology in ASD, may provide insights into sex-specific differences, and have the potential to lead to biomarkers for early diagnosis. 2022-03 2022-01-05 /pmc/articles/PMC9106807/ /pubmed/34987169 http://dx.doi.org/10.1038/s41380-021-01415-4 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms
spellingShingle Article
Che, Xiaoyu
Hornig, Mady
Bresnahan, Michaeline
Stoltenberg, Camilla
Magnus, Per
Surén, Pål
Mjaaland, Siri
Reichborn-Kjennerud, Ted
Susser, Ezra
Lipkin, W. Ian
Maternal mid-gestational and child cord blood immune signatures are strongly associated with offspring risk of ASD
title Maternal mid-gestational and child cord blood immune signatures are strongly associated with offspring risk of ASD
title_full Maternal mid-gestational and child cord blood immune signatures are strongly associated with offspring risk of ASD
title_fullStr Maternal mid-gestational and child cord blood immune signatures are strongly associated with offspring risk of ASD
title_full_unstemmed Maternal mid-gestational and child cord blood immune signatures are strongly associated with offspring risk of ASD
title_short Maternal mid-gestational and child cord blood immune signatures are strongly associated with offspring risk of ASD
title_sort maternal mid-gestational and child cord blood immune signatures are strongly associated with offspring risk of asd
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9106807/
https://www.ncbi.nlm.nih.gov/pubmed/34987169
http://dx.doi.org/10.1038/s41380-021-01415-4
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