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Interaction between a mixture of heavy metals (lead, mercury, arsenic, cadmium, manganese, aluminum) and GSTP1, GSTT1, and GSTM1 in relation to autism spectrum disorder / Mohammad H. RAHBAR in Research in Autism Spectrum Disorders, 79 (November 2020)
[article]
Titre : Interaction between a mixture of heavy metals (lead, mercury, arsenic, cadmium, manganese, aluminum) and GSTP1, GSTT1, and GSTM1 in relation to autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Mohammad H. RAHBAR, Auteur ; Maureen SAMMS-VAUGHAN, Auteur ; MinJae LEE, Auteur ; Jing ZHANG, Auteur ; Manouchehr HESSABI, Auteur ; Jan BRESSLER, Auteur ; MacKinsey A. BACH, Auteur ; Megan L. GROVE, Auteur ; Sydonnie SHAKESPEARE-PELLINGTON, Auteur ; Compton BEECHER, Auteur ; Wayne MCLAUGHLIN, Auteur ; Katherine A. LOVELAND, Auteur Article en page(s) : 101681 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder Glutathione S-transferase (GST) genes ( and ) Mixture analysis Generalized weighted quantile sum regression (gWQS) Heavy metals Jamaica Index. décimale : PER Périodiques Résumé : Background Exposure to many environmental chemicals, including metals, often does not occur in isolation, hence requires assessment of the associations between exposure to mixtures of chemicals and human health. Objectives To investigate associations of a metal mixture of lead (Pb), mercury (Hg), arsenic (As), cadmium (Cd), manganese (Mn), and aluminum (Al) in children with autism spectrum disorder (ASD), additively or interactively with each of three glutathione S-transferase (GST) genes (GSTP1, GSTT1, and GSTM1). Method Using data from 266 case-control pairs of Jamaican children (2–8 years old), we fitted negative and positive generalized weighted quantile sum (gWQS) regression models to assess the aforementioned associations. Results Based on additive and interactive negative gWQS models adjusted for maternal age, parental education, child’s parish, and seafood consumption, we found inverse associations of the overall mixture score with ASD [MOR (95 % CI) = 0.70 (0.49, 0.99); P? 0.05) and [MOR (95 % CI) = 0.46 (0.25, 0.84); P = 0.01], respectively. In an unadjusted negative gWQS model, we found a marginally significant interaction between GSTP1 and a mixture of three metals (Pb, Hg, and Mn) (P = 0.07) while the association was no longer significant after adjustment for the same covariates (P = 0.24). Conclusions Differences in diet between ASD and control groups may play a role in the inverse associations we found. The possible interactive association between Mn and GSTP1 in ASD based on gWQS is consistent with our previous reports. However, possible interaction of GSTP1 with Pb and Hg in ASD requires further investigation and replication. En ligne : https://doi.org/10.1016/j.rasd.2020.101681 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434
in Research in Autism Spectrum Disorders > 79 (November 2020) . - 101681[article] Interaction between a mixture of heavy metals (lead, mercury, arsenic, cadmium, manganese, aluminum) and GSTP1, GSTT1, and GSTM1 in relation to autism spectrum disorder [Texte imprimé et/ou numérique] / Mohammad H. RAHBAR, Auteur ; Maureen SAMMS-VAUGHAN, Auteur ; MinJae LEE, Auteur ; Jing ZHANG, Auteur ; Manouchehr HESSABI, Auteur ; Jan BRESSLER, Auteur ; MacKinsey A. BACH, Auteur ; Megan L. GROVE, Auteur ; Sydonnie SHAKESPEARE-PELLINGTON, Auteur ; Compton BEECHER, Auteur ; Wayne MCLAUGHLIN, Auteur ; Katherine A. LOVELAND, Auteur . - 101681.
Langues : Anglais (eng)
in Research in Autism Spectrum Disorders > 79 (November 2020) . - 101681
Mots-clés : Autism Spectrum Disorder Glutathione S-transferase (GST) genes ( and ) Mixture analysis Generalized weighted quantile sum regression (gWQS) Heavy metals Jamaica Index. décimale : PER Périodiques Résumé : Background Exposure to many environmental chemicals, including metals, often does not occur in isolation, hence requires assessment of the associations between exposure to mixtures of chemicals and human health. Objectives To investigate associations of a metal mixture of lead (Pb), mercury (Hg), arsenic (As), cadmium (Cd), manganese (Mn), and aluminum (Al) in children with autism spectrum disorder (ASD), additively or interactively with each of three glutathione S-transferase (GST) genes (GSTP1, GSTT1, and GSTM1). Method Using data from 266 case-control pairs of Jamaican children (2–8 years old), we fitted negative and positive generalized weighted quantile sum (gWQS) regression models to assess the aforementioned associations. Results Based on additive and interactive negative gWQS models adjusted for maternal age, parental education, child’s parish, and seafood consumption, we found inverse associations of the overall mixture score with ASD [MOR (95 % CI) = 0.70 (0.49, 0.99); P? 0.05) and [MOR (95 % CI) = 0.46 (0.25, 0.84); P = 0.01], respectively. In an unadjusted negative gWQS model, we found a marginally significant interaction between GSTP1 and a mixture of three metals (Pb, Hg, and Mn) (P = 0.07) while the association was no longer significant after adjustment for the same covariates (P = 0.24). Conclusions Differences in diet between ASD and control groups may play a role in the inverse associations we found. The possible interactive association between Mn and GSTP1 in ASD based on gWQS is consistent with our previous reports. However, possible interaction of GSTP1 with Pb and Hg in ASD requires further investigation and replication. En ligne : https://doi.org/10.1016/j.rasd.2020.101681 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434 Interaction between manganese and GSTP1 in relation to autism spectrum disorder while controlling for exposure to mixture of lead, mercury, arsenic, and cadmium / Mohammad H. RAHBAR in Research in Autism Spectrum Disorders, 55 (November 2018)
[article]
Titre : Interaction between manganese and GSTP1 in relation to autism spectrum disorder while controlling for exposure to mixture of lead, mercury, arsenic, and cadmium Type de document : Texte imprimé et/ou numérique Auteurs : Mohammad H. RAHBAR, Auteur ; Maureen SAMMS-VAUGHAN, Auteur ; MinJae LEE, Auteur ; MacKinsey A. CHRISTIAN, Auteur ; Jan BRESSLER, Auteur ; Manouchehr HESSABI, Auteur ; Megan L. GROVE, Auteur ; Sydonnie SHAKESPEARE-PELLINGTON, Auteur ; Charlene COORE DESAI, Auteur ; Jody-Ann REECE, Auteur ; Katherine A. LOVELAND, Auteur ; Compton BEECHER, Auteur ; Wayne MCLAUGHLIN, Auteur ; Eric BOERWINKLE, Auteur Article en page(s) : p.50-63 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder (ASD) Heavy metals Interaction Weighted quantile sum (WQS) regression Index. décimale : PER Périodiques Résumé : Background We previously reported a significant interactive association between polymorphisms of GSTP1 and blood manganese concentrations (BMC) with autism spectrum disorder (ASD) in Jamaican children. In this paper, we investigate the same interactive association with ASD while adjusting for the mixture of four metals (lead, mercury, cadmium, and arsenic). Method We used data from 163 case-control pairs of children 2–8 years of age from our autism project in Jamaica, in which we collected blood for heavy metals analysis at enrollment. To minimize potential multicollinearity between concentrations of the four metals, we generated a mixture index using generalized weighted quantile sum regression, which was used in conditional logistic regression models to control for the four metals while assessing the interactive association between GSTP1 and BMC with ASD. Results Similar to the findings we reported previously, we found that in co-dominant and dominant models for GSTP1, among children with the Ile/Ile genotype, those with BMC???12??g/L had 4.6 and 4.27 times higher odds of ASD compared to those with BMC?12??g/L (adjusted Matched Odds Ratio (MOR)?=?4.6, 95% CI: 1.21–17.42 and adjusted MOR?=?4.27, 95% CI: 1.15–15.85, respectively). In the co-dominant model, for children with the Ile/Val and Val/Val genotypes, the adjusted MORs were 1.26 (95% CI: 0.32, 5.01) and 0.26 (95% CI: 0.05, 1.42), respectively. Conclusions After adjusting for the mixture of four metals, the interactive association of BMC and GSTP1 with ASD remained significant with similar magnitude of associations. Results should be interpreted cautiously. En ligne : https://doi.org/10.1016/j.rasd.2018.08.003 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=369
in Research in Autism Spectrum Disorders > 55 (November 2018) . - p.50-63[article] Interaction between manganese and GSTP1 in relation to autism spectrum disorder while controlling for exposure to mixture of lead, mercury, arsenic, and cadmium [Texte imprimé et/ou numérique] / Mohammad H. RAHBAR, Auteur ; Maureen SAMMS-VAUGHAN, Auteur ; MinJae LEE, Auteur ; MacKinsey A. CHRISTIAN, Auteur ; Jan BRESSLER, Auteur ; Manouchehr HESSABI, Auteur ; Megan L. GROVE, Auteur ; Sydonnie SHAKESPEARE-PELLINGTON, Auteur ; Charlene COORE DESAI, Auteur ; Jody-Ann REECE, Auteur ; Katherine A. LOVELAND, Auteur ; Compton BEECHER, Auteur ; Wayne MCLAUGHLIN, Auteur ; Eric BOERWINKLE, Auteur . - p.50-63.
Langues : Anglais (eng)
in Research in Autism Spectrum Disorders > 55 (November 2018) . - p.50-63
Mots-clés : Autism spectrum disorder (ASD) Heavy metals Interaction Weighted quantile sum (WQS) regression Index. décimale : PER Périodiques Résumé : Background We previously reported a significant interactive association between polymorphisms of GSTP1 and blood manganese concentrations (BMC) with autism spectrum disorder (ASD) in Jamaican children. In this paper, we investigate the same interactive association with ASD while adjusting for the mixture of four metals (lead, mercury, cadmium, and arsenic). Method We used data from 163 case-control pairs of children 2–8 years of age from our autism project in Jamaica, in which we collected blood for heavy metals analysis at enrollment. To minimize potential multicollinearity between concentrations of the four metals, we generated a mixture index using generalized weighted quantile sum regression, which was used in conditional logistic regression models to control for the four metals while assessing the interactive association between GSTP1 and BMC with ASD. Results Similar to the findings we reported previously, we found that in co-dominant and dominant models for GSTP1, among children with the Ile/Ile genotype, those with BMC???12??g/L had 4.6 and 4.27 times higher odds of ASD compared to those with BMC?12??g/L (adjusted Matched Odds Ratio (MOR)?=?4.6, 95% CI: 1.21–17.42 and adjusted MOR?=?4.27, 95% CI: 1.15–15.85, respectively). In the co-dominant model, for children with the Ile/Val and Val/Val genotypes, the adjusted MORs were 1.26 (95% CI: 0.32, 5.01) and 0.26 (95% CI: 0.05, 1.42), respectively. Conclusions After adjusting for the mixture of four metals, the interactive association of BMC and GSTP1 with ASD remained significant with similar magnitude of associations. Results should be interpreted cautiously. En ligne : https://doi.org/10.1016/j.rasd.2018.08.003 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=369 Are Urinary Porphyrins a Valid Diagnostic Biomarker of Autism Spectrum Disorder? / Kerrie SHANDLEY in Autism Research, 7-5 (October 2014)
[article]
Titre : Are Urinary Porphyrins a Valid Diagnostic Biomarker of Autism Spectrum Disorder? Type de document : Texte imprimé et/ou numérique Auteurs : Kerrie SHANDLEY, Auteur ; David W. AUSTIN, Auteur ; Jahar L. BHOWMIK, Auteur Article en page(s) : p.535-542 Langues : Anglais (eng) Mots-clés : porphyrins biomarker ASD diagnosis ASD severity heavy metals mercury Index. décimale : PER Périodiques Résumé : A fundamental challenge to the timely diagnosis of Autism Spectrum Disorder (ASD) is the reliance on the observation of a set of aberrant behavior. Consequently, the diagnostic process requires that the child reach an age where the behaviors would typically be exhibited. The identification of a reliable biological marker (biomarker) could be of considerable benefit to the diagnostic process. As a diagnostic biomarker, porphyrins present an attractive prospect as previous studies have reported consistent findings of children with ASD showing significant elevations in porphyrin levels in contrast to controls. Furthermore, there is some evidence that ASD severity may be associated with porphyrins, which would be a valuable characteristic of any ASD biomarker. Importantly, for practical use, porphyrins can be tested non-invasively via a sample of urine. The present study sought to investigate whether porphyrin profiles can reliably be used to (a) differentiate ASD cases from healthy controls; and (b) predict ASD severity. The study compared the porphyrin levels of three groups of children aged 2–6 years: Group 1—children diagnosed with ASD (n?=?70); Group 2—healthy, normally developing siblings of children diagnosed with ASD (n?=?36); and Group 3—healthy, normally developing children with no known blood relative diagnosed with ASD (n?=?54). The results of logistic regression analyses failed to find support for the hypotheses that porphyrin levels could be used as a valid tool to detect ASD cases or predict severity. Autism Res 2014, 7: 535–542. © 2014 International Society for Autism Research, Wiley Periodicals, Inc. En ligne : http://dx.doi.org/10.1002/aur.1385 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=241
in Autism Research > 7-5 (October 2014) . - p.535-542[article] Are Urinary Porphyrins a Valid Diagnostic Biomarker of Autism Spectrum Disorder? [Texte imprimé et/ou numérique] / Kerrie SHANDLEY, Auteur ; David W. AUSTIN, Auteur ; Jahar L. BHOWMIK, Auteur . - p.535-542.
Langues : Anglais (eng)
in Autism Research > 7-5 (October 2014) . - p.535-542
Mots-clés : porphyrins biomarker ASD diagnosis ASD severity heavy metals mercury Index. décimale : PER Périodiques Résumé : A fundamental challenge to the timely diagnosis of Autism Spectrum Disorder (ASD) is the reliance on the observation of a set of aberrant behavior. Consequently, the diagnostic process requires that the child reach an age where the behaviors would typically be exhibited. The identification of a reliable biological marker (biomarker) could be of considerable benefit to the diagnostic process. As a diagnostic biomarker, porphyrins present an attractive prospect as previous studies have reported consistent findings of children with ASD showing significant elevations in porphyrin levels in contrast to controls. Furthermore, there is some evidence that ASD severity may be associated with porphyrins, which would be a valuable characteristic of any ASD biomarker. Importantly, for practical use, porphyrins can be tested non-invasively via a sample of urine. The present study sought to investigate whether porphyrin profiles can reliably be used to (a) differentiate ASD cases from healthy controls; and (b) predict ASD severity. The study compared the porphyrin levels of three groups of children aged 2–6 years: Group 1—children diagnosed with ASD (n?=?70); Group 2—healthy, normally developing siblings of children diagnosed with ASD (n?=?36); and Group 3—healthy, normally developing children with no known blood relative diagnosed with ASD (n?=?54). The results of logistic regression analyses failed to find support for the hypotheses that porphyrin levels could be used as a valid tool to detect ASD cases or predict severity. Autism Res 2014, 7: 535–542. © 2014 International Society for Autism Research, Wiley Periodicals, Inc. En ligne : http://dx.doi.org/10.1002/aur.1385 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=241