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Identification of potentially relevant metals for the etiology of autism by using a Bayesian multivariate approach for partially censored values
Linköping University, Department of Computer and Information Science, The Division of Statistics and Machine Learning. Linköping University, Faculty of Arts and Sciences.ORCID iD: 0000-0003-2193-6003
Univ Sao Paulo, Brazil.
Linköping University, Department of Physics, Chemistry and Biology. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Biomedical and Clinical Sciences, Division of Children's and Women's Health. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center of Paediatrics and Gynaecology and Obstetrics, H.K.H. Kronprinsessan Victorias barn- och ungdomssjukhus.ORCID iD: 0000-0003-1695-5234
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2023 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 13, no 1, article id 12622Article in journal (Refereed) Published
Abstract [en]

Heavy metals are known to be able to cross the placental and blood brain barriers to affect critical neurodevelopmental processes in the fetus. We measured metal levels (Al, Cd, Hg, Li, Pb and Zn) in the cord blood of newborns and in the serum of the same children at 5 years of age, and compared between individuals with or without (controls) autism spectrum disorder (ASD) diagnosis. The samples were from a biobank associated with the All Babies in Southeast Sweden (ABIS) registry. We proposed a Bayesian multivariate log-normal model for partially censored values to identify potentially relevant metals for the etiology of ASD. Our results in cord blood suggest prenatal Al levels could be indicative of later ASD incidence, which could also be related to an increased possibility of a high, potentially toxic, exposure to Al and Li during pregnancy. In addition, a larger possibility of a high, potentially beneficial, exposure to Zn could occur during pregnancy in controls. Finally, we found decisive evidence for an average increase of Hg in 5-year-old ASD children compared to only weak evidence for controls. This is concordant with previous research showing an impaired ability for eliminating Hg in the ASD group.

Place, publisher, year, edition, pages
NATURE PORTFOLIO , 2023. Vol. 13, no 1, article id 12622
National Category
Probability Theory and Statistics Biological Sciences
Identifiers
URN: urn:nbn:se:liu:diva-197082DOI: 10.1038/s41598-023-38780-9ISI: 001042854100016PubMedID: 37537167OAI: oai:DiVA.org:liu-197082DiVA, id: diva2:1790296
Funder
Linköpings universitet
Note

Funding: Faculty of Arts and Sciences at Linkouml;ping University, Sweden; Escher Fund for Autism; Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (FORMAS); Barndiabetesfonden (Swedish Child Diabetes Foundation); Swedish Council for Working Life and Social Research [FAS20041775, K2005-72X-11242-11A]; Swedish Research Council [K2008-69X-20826-01-4, K 98-99D-12813-01A]; Medical Research Council of Southeast Sweden (FORSS); JDRF Wallenberg Foundation [2018-01074]; OEstgoeta Brandstodsbolag; Region OEstergoetland; Linkoeping university, Sweden; Joanna Cocozza Foundation; Linkoeping University;  [FAS2004-1775]

Available from: 2023-08-22 Created: 2023-08-22 Last updated: 2023-09-26

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Wegmann, BertilLudvigsson, Johnny

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The Division of Statistics and Machine LearningFaculty of Arts and SciencesDepartment of Physics, Chemistry and BiologyFaculty of Science & EngineeringDivision of Children's and Women's HealthFaculty of Medicine and Health SciencesH.K.H. Kronprinsessan Victorias barn- och ungdomssjukhus
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