Dynamical features in fetal and postnatal zinc-copper metabolic cycles predict the emergence of autism spectrum disorder

Publication Date:
2018-05-31
Publisher:
American Association for the Advancement of Science (AAAS)
Electronic ISSN:
2375-2548
Topics:
Natural Sciences in General
Published by:
http://www.aaas.org/
_version_ 1836398952061075456
autor Curtin, P., Austin, C., Curtin, A., Gennings, C., Arora, M., (for the Emergent Dynamical Systems Group), Tammimies, K., Willfors, C., Berggren, S., Siper, P., Rai, D., Meyering, K., Kolevzon, A., Mollon, J., David, A. S., Lewis, G., Zammit, S., Heilbrun, L., Palmer, R. F., Wright, R. O., Bölte, S., Reichenberg, A.
beschreibung Metals are critical to neurodevelopment, and dysregulation in early life has been documented in autism spectrum disorder (ASD). However, underlying mechanisms and biochemical assays to distinguish ASD cases from controls remain elusive. In a nationwide study of twins in Sweden, we tested whether zinc-copper cycles, which regulate metal metabolism, are disrupted in ASD. Using novel tooth-matrix biomarkers that provide direct measures of fetal elemental uptake, we developed a predictive model to distinguish participants who would be diagnosed with ASD in childhood from those who did not develop the disorder. We replicated our findings in three independent studies in the United States and the UK. We show that three quantifiable characteristics of fetal and postnatal zinc-copper rhythmicity are altered in ASD: the average duration of zinc-copper cycles, regularity with which the cycles recur, and the number of complex features within a cycle. In all independent study sets and in the pooled analysis, zinc-copper rhythmicity was disrupted in ASD cases. In contrast to controls, in ASD cases, the cycle duration was shorter ( F = 52.25, P 〈 0.001), regularity was reduced ( F = 47.99, P 〈 0.001), and complexity diminished ( F = 57.30, P 〈 0.001). With two distinct classification models that used metal rhythmicity data, we achieved 90% accuracy in classifying cases and controls, with sensitivity to ASD diagnosis ranging from 85 to 100% and specificity ranging from 90 to 100%. These findings suggest that altered zinc-copper rhythmicity precedes the emergence of ASD, and quantitative biochemical measures of metal rhythmicity distinguish ASD cases from controls.
citation_standardnr 6272315
datenlieferant ipn_articles
feed_id 228416
feed_publisher American Association for the Advancement of Science (AAAS)
feed_publisher_url http://www.aaas.org/
insertion_date 2018-05-31
journaleissn 2375-2548
publikationsjahr_anzeige 2018
publikationsjahr_facette 2018
publikationsjahr_intervall 7984:2015-2019
publikationsjahr_sort 2018
publisher American Association for the Advancement of Science (AAAS)
quelle Science Advances
relation http://advances.sciencemag.org/cgi/content/short/4/5/eaat1293?rss=1
search_space articles
shingle_author_1 Curtin, P., Austin, C., Curtin, A., Gennings, C., Arora, M., (for the Emergent Dynamical Systems Group), Tammimies, K., Willfors, C., Berggren, S., Siper, P., Rai, D., Meyering, K., Kolevzon, A., Mollon, J., David, A. S., Lewis, G., Zammit, S., Heilbrun, L., Palmer, R. F., Wright, R. O., Bölte, S., Reichenberg, A.
shingle_author_2 Curtin, P., Austin, C., Curtin, A., Gennings, C., Arora, M., (for the Emergent Dynamical Systems Group), Tammimies, K., Willfors, C., Berggren, S., Siper, P., Rai, D., Meyering, K., Kolevzon, A., Mollon, J., David, A. S., Lewis, G., Zammit, S., Heilbrun, L., Palmer, R. F., Wright, R. O., Bölte, S., Reichenberg, A.
shingle_author_3 Curtin, P., Austin, C., Curtin, A., Gennings, C., Arora, M., (for the Emergent Dynamical Systems Group), Tammimies, K., Willfors, C., Berggren, S., Siper, P., Rai, D., Meyering, K., Kolevzon, A., Mollon, J., David, A. S., Lewis, G., Zammit, S., Heilbrun, L., Palmer, R. F., Wright, R. O., Bölte, S., Reichenberg, A.
shingle_author_4 Curtin, P., Austin, C., Curtin, A., Gennings, C., Arora, M., (for the Emergent Dynamical Systems Group), Tammimies, K., Willfors, C., Berggren, S., Siper, P., Rai, D., Meyering, K., Kolevzon, A., Mollon, J., David, A. S., Lewis, G., Zammit, S., Heilbrun, L., Palmer, R. F., Wright, R. O., Bölte, S., Reichenberg, A.
shingle_catch_all_1 Dynamical features in fetal and postnatal zinc-copper metabolic cycles predict the emergence of autism spectrum disorder
Metals are critical to neurodevelopment, and dysregulation in early life has been documented in autism spectrum disorder (ASD). However, underlying mechanisms and biochemical assays to distinguish ASD cases from controls remain elusive. In a nationwide study of twins in Sweden, we tested whether zinc-copper cycles, which regulate metal metabolism, are disrupted in ASD. Using novel tooth-matrix biomarkers that provide direct measures of fetal elemental uptake, we developed a predictive model to distinguish participants who would be diagnosed with ASD in childhood from those who did not develop the disorder. We replicated our findings in three independent studies in the United States and the UK. We show that three quantifiable characteristics of fetal and postnatal zinc-copper rhythmicity are altered in ASD: the average duration of zinc-copper cycles, regularity with which the cycles recur, and the number of complex features within a cycle. In all independent study sets and in the pooled analysis, zinc-copper rhythmicity was disrupted in ASD cases. In contrast to controls, in ASD cases, the cycle duration was shorter ( F = 52.25, P < 0.001), regularity was reduced ( F = 47.99, P < 0.001), and complexity diminished ( F = 57.30, P < 0.001). With two distinct classification models that used metal rhythmicity data, we achieved 90% accuracy in classifying cases and controls, with sensitivity to ASD diagnosis ranging from 85 to 100% and specificity ranging from 90 to 100%. These findings suggest that altered zinc-copper rhythmicity precedes the emergence of ASD, and quantitative biochemical measures of metal rhythmicity distinguish ASD cases from controls.
Curtin, P., Austin, C., Curtin, A., Gennings, C., Arora, M., (for the Emergent Dynamical Systems Group), Tammimies, K., Willfors, C., Berggren, S., Siper, P., Rai, D., Meyering, K., Kolevzon, A., Mollon, J., David, A. S., Lewis, G., Zammit, S., Heilbrun, L., Palmer, R. F., Wright, R. O., Bölte, S., Reichenberg, A.
American Association for the Advancement of Science (AAAS)
2375-2548
23752548
shingle_catch_all_2 Dynamical features in fetal and postnatal zinc-copper metabolic cycles predict the emergence of autism spectrum disorder
Metals are critical to neurodevelopment, and dysregulation in early life has been documented in autism spectrum disorder (ASD). However, underlying mechanisms and biochemical assays to distinguish ASD cases from controls remain elusive. In a nationwide study of twins in Sweden, we tested whether zinc-copper cycles, which regulate metal metabolism, are disrupted in ASD. Using novel tooth-matrix biomarkers that provide direct measures of fetal elemental uptake, we developed a predictive model to distinguish participants who would be diagnosed with ASD in childhood from those who did not develop the disorder. We replicated our findings in three independent studies in the United States and the UK. We show that three quantifiable characteristics of fetal and postnatal zinc-copper rhythmicity are altered in ASD: the average duration of zinc-copper cycles, regularity with which the cycles recur, and the number of complex features within a cycle. In all independent study sets and in the pooled analysis, zinc-copper rhythmicity was disrupted in ASD cases. In contrast to controls, in ASD cases, the cycle duration was shorter ( F = 52.25, P < 0.001), regularity was reduced ( F = 47.99, P < 0.001), and complexity diminished ( F = 57.30, P < 0.001). With two distinct classification models that used metal rhythmicity data, we achieved 90% accuracy in classifying cases and controls, with sensitivity to ASD diagnosis ranging from 85 to 100% and specificity ranging from 90 to 100%. These findings suggest that altered zinc-copper rhythmicity precedes the emergence of ASD, and quantitative biochemical measures of metal rhythmicity distinguish ASD cases from controls.
Curtin, P., Austin, C., Curtin, A., Gennings, C., Arora, M., (for the Emergent Dynamical Systems Group), Tammimies, K., Willfors, C., Berggren, S., Siper, P., Rai, D., Meyering, K., Kolevzon, A., Mollon, J., David, A. S., Lewis, G., Zammit, S., Heilbrun, L., Palmer, R. F., Wright, R. O., Bölte, S., Reichenberg, A.
American Association for the Advancement of Science (AAAS)
2375-2548
23752548
shingle_catch_all_3 Dynamical features in fetal and postnatal zinc-copper metabolic cycles predict the emergence of autism spectrum disorder
Metals are critical to neurodevelopment, and dysregulation in early life has been documented in autism spectrum disorder (ASD). However, underlying mechanisms and biochemical assays to distinguish ASD cases from controls remain elusive. In a nationwide study of twins in Sweden, we tested whether zinc-copper cycles, which regulate metal metabolism, are disrupted in ASD. Using novel tooth-matrix biomarkers that provide direct measures of fetal elemental uptake, we developed a predictive model to distinguish participants who would be diagnosed with ASD in childhood from those who did not develop the disorder. We replicated our findings in three independent studies in the United States and the UK. We show that three quantifiable characteristics of fetal and postnatal zinc-copper rhythmicity are altered in ASD: the average duration of zinc-copper cycles, regularity with which the cycles recur, and the number of complex features within a cycle. In all independent study sets and in the pooled analysis, zinc-copper rhythmicity was disrupted in ASD cases. In contrast to controls, in ASD cases, the cycle duration was shorter ( F = 52.25, P < 0.001), regularity was reduced ( F = 47.99, P < 0.001), and complexity diminished ( F = 57.30, P < 0.001). With two distinct classification models that used metal rhythmicity data, we achieved 90% accuracy in classifying cases and controls, with sensitivity to ASD diagnosis ranging from 85 to 100% and specificity ranging from 90 to 100%. These findings suggest that altered zinc-copper rhythmicity precedes the emergence of ASD, and quantitative biochemical measures of metal rhythmicity distinguish ASD cases from controls.
Curtin, P., Austin, C., Curtin, A., Gennings, C., Arora, M., (for the Emergent Dynamical Systems Group), Tammimies, K., Willfors, C., Berggren, S., Siper, P., Rai, D., Meyering, K., Kolevzon, A., Mollon, J., David, A. S., Lewis, G., Zammit, S., Heilbrun, L., Palmer, R. F., Wright, R. O., Bölte, S., Reichenberg, A.
American Association for the Advancement of Science (AAAS)
2375-2548
23752548
shingle_catch_all_4 Dynamical features in fetal and postnatal zinc-copper metabolic cycles predict the emergence of autism spectrum disorder
Metals are critical to neurodevelopment, and dysregulation in early life has been documented in autism spectrum disorder (ASD). However, underlying mechanisms and biochemical assays to distinguish ASD cases from controls remain elusive. In a nationwide study of twins in Sweden, we tested whether zinc-copper cycles, which regulate metal metabolism, are disrupted in ASD. Using novel tooth-matrix biomarkers that provide direct measures of fetal elemental uptake, we developed a predictive model to distinguish participants who would be diagnosed with ASD in childhood from those who did not develop the disorder. We replicated our findings in three independent studies in the United States and the UK. We show that three quantifiable characteristics of fetal and postnatal zinc-copper rhythmicity are altered in ASD: the average duration of zinc-copper cycles, regularity with which the cycles recur, and the number of complex features within a cycle. In all independent study sets and in the pooled analysis, zinc-copper rhythmicity was disrupted in ASD cases. In contrast to controls, in ASD cases, the cycle duration was shorter ( F = 52.25, P < 0.001), regularity was reduced ( F = 47.99, P < 0.001), and complexity diminished ( F = 57.30, P < 0.001). With two distinct classification models that used metal rhythmicity data, we achieved 90% accuracy in classifying cases and controls, with sensitivity to ASD diagnosis ranging from 85 to 100% and specificity ranging from 90 to 100%. These findings suggest that altered zinc-copper rhythmicity precedes the emergence of ASD, and quantitative biochemical measures of metal rhythmicity distinguish ASD cases from controls.
Curtin, P., Austin, C., Curtin, A., Gennings, C., Arora, M., (for the Emergent Dynamical Systems Group), Tammimies, K., Willfors, C., Berggren, S., Siper, P., Rai, D., Meyering, K., Kolevzon, A., Mollon, J., David, A. S., Lewis, G., Zammit, S., Heilbrun, L., Palmer, R. F., Wright, R. O., Bölte, S., Reichenberg, A.
American Association for the Advancement of Science (AAAS)
2375-2548
23752548
shingle_title_1 Dynamical features in fetal and postnatal zinc-copper metabolic cycles predict the emergence of autism spectrum disorder
shingle_title_2 Dynamical features in fetal and postnatal zinc-copper metabolic cycles predict the emergence of autism spectrum disorder
shingle_title_3 Dynamical features in fetal and postnatal zinc-copper metabolic cycles predict the emergence of autism spectrum disorder
shingle_title_4 Dynamical features in fetal and postnatal zinc-copper metabolic cycles predict the emergence of autism spectrum disorder
timestamp 2025-06-30T23:35:14.959Z
titel Dynamical features in fetal and postnatal zinc-copper metabolic cycles predict the emergence of autism spectrum disorder
titel_suche Dynamical features in fetal and postnatal zinc-copper metabolic cycles predict the emergence of autism spectrum disorder
topic TA-TD
uid ipn_articles_6272315