Advanced paternal age as a risk factor for neurodevelopmental disorders: a translational study / Axel KRUG in Molecular Autism, 11 (2020)  

Public ISBD [article]  inMolecular Autism > 11 (2020) . - 54 p. Titre : Advanced paternal age as a risk factor for neurodevelopmental disorders: a translational study Type de document : texte imprimé Auteurs : Axel KRUG, Auteur ; Markus WÖHR, Auteur ; Dominik SEFFER, Auteur ; Henrike RIPPBERGER, Auteur ; A. Özge SUNGUR, Auteur ; Bruno DIETSCHE, Auteur ; Frederike STEIN, Auteur ; Sugirthan SIVALINGAM, Auteur ; Andreas J. FORSTNER, Auteur ; Stephanie H. WITT, Auteur ; Helene DUKAL, Auteur ; Fabian STREIT, Auteur ; Anna MAASER, Auteur ; Stefanie HEILMANN-HEIMBACH, Auteur ; Till F.M. ANDLAUER, Auteur ; Stefan HERMS, Auteur ; Per HOFFMANN, Auteur ; Marcella RIETSCHEL, Auteur ; Markus M. NÖTHEN, Auteur ; Martin LACKINGER, Auteur ; Gerhard SCHRATT, Auteur ; Michael KOCH, Auteur ; Rainer K.W. SCHWARTING, Auteur ; Tilo KIRCHER, Auteur Article en page(s) : 54 p. Langues : Anglais (eng) Mots-clés : Advanced paternal age (APA)  Diffusion tension imaging (DTI)  Social behavior  Ultrasonic vocalization  Voxel-based morphometry (VBM) Index. décimale : PER Périodiques Résumé : Advanced paternal age (APA) is a risk factor for several neurodevelopmental disorders, including autism and schizophrenia. The potential mechanisms conferring this risk are poorly understood. Here, we show that the personality traits schizotypy and neuroticism correlated with paternal age in healthy subjects (N = 677). Paternal age was further positively associated with gray matter volume (VBM, N = 342) in the right prefrontal and the right medial temporal cortex. The integrity of fiber tracts (DTI, N = 222) connecting these two areas correlated positively with paternal age. Genome-wide methylation analysis in humans showed differential methylation in APA individuals, linking APA to epigenetic mechanisms. A corresponding phenotype was obtained in our rat model. APA rats displayed social-communication deficits and emitted fewer pro-social ultrasonic vocalizations compared to controls. They further showed repetitive and stereotyped patterns of behavior, together with higher anxiety during early development. At the neurobiological level, microRNAs miR-132 and miR-134 were both differentially regulated in rats and humans depending on APA. This study demonstrates associations between APA and social behaviors across species. They might be driven by changes in the expression of microRNAs and/or epigenetic changes regulating neuronal plasticity, leading to brain morphological changes and fronto-hippocampal connectivity, a network which has been implicated in social interaction. En ligne : http://dx.doi.org/10.1186/s13229-020-00345-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=427 [article] Advanced paternal age as a risk factor for neurodevelopmental disorders: a translational study [texte imprimé] / Axel KRUG, Auteur ; Markus WÖHR, Auteur ; Dominik SEFFER, Auteur ; Henrike RIPPBERGER, Auteur ; A. Özge SUNGUR, Auteur ; Bruno DIETSCHE, Auteur ; Frederike STEIN, Auteur ; Sugirthan SIVALINGAM, Auteur ; Andreas J. FORSTNER, Auteur ; Stephanie H. WITT, Auteur ; Helene DUKAL, Auteur ; Fabian STREIT, Auteur ; Anna MAASER, Auteur ; Stefanie HEILMANN-HEIMBACH, Auteur ; Till F.M. ANDLAUER, Auteur ; Stefan HERMS, Auteur ; Per HOFFMANN, Auteur ; Marcella RIETSCHEL, Auteur ; Markus M. NÖTHEN, Auteur ; Martin LACKINGER, Auteur ; Gerhard SCHRATT, Auteur ; Michael KOCH, Auteur ; Rainer K.W. SCHWARTING, Auteur ; Tilo KIRCHER, Auteur . - 54 p. Langues : Anglais (eng) in Molecular Autism > 11 (2020) . - 54 p. Mots-clés : Advanced paternal age (APA)  Diffusion tension imaging (DTI)  Social behavior  Ultrasonic vocalization  Voxel-based morphometry (VBM) Index. décimale : PER Périodiques Résumé : Advanced paternal age (APA) is a risk factor for several neurodevelopmental disorders, including autism and schizophrenia. The potential mechanisms conferring this risk are poorly understood. Here, we show that the personality traits schizotypy and neuroticism correlated with paternal age in healthy subjects (N = 677). Paternal age was further positively associated with gray matter volume (VBM, N = 342) in the right prefrontal and the right medial temporal cortex. The integrity of fiber tracts (DTI, N = 222) connecting these two areas correlated positively with paternal age. Genome-wide methylation analysis in humans showed differential methylation in APA individuals, linking APA to epigenetic mechanisms. A corresponding phenotype was obtained in our rat model. APA rats displayed social-communication deficits and emitted fewer pro-social ultrasonic vocalizations compared to controls. They further showed repetitive and stereotyped patterns of behavior, together with higher anxiety during early development. At the neurobiological level, microRNAs miR-132 and miR-134 were both differentially regulated in rats and humans depending on APA. This study demonstrates associations between APA and social behaviors across species. They might be driven by changes in the expression of microRNAs and/or epigenetic changes regulating neuronal plasticity, leading to brain morphological changes and fronto-hippocampal connectivity, a network which has been implicated in social interaction. En ligne : http://dx.doi.org/10.1186/s13229-020-00345-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=427

Cortisol, cortisone, and BDNF in amniotic fluid in the second trimester of pregnancy: Effect of early life and current maternal stress and socioeconomic status / Michael DEUSCHLE in Development and Psychopathology, 30-3 (August 2018)  

Public ISBD [article]  inDevelopment and Psychopathology > 30-3 (August 2018) . - p.971-980 Titre : Cortisol, cortisone, and BDNF in amniotic fluid in the second trimester of pregnancy: Effect of early life and current maternal stress and socioeconomic status Type de document : texte imprimé Auteurs : Michael DEUSCHLE, Auteur ; Ferdinand HENDLMEIER, Auteur ; Stephanie WITT, Auteur ; Marcella RIETSCHEL, Auteur ; Maria GILLES, Auteur ; A. SANCHEZ-GUIJO, Auteur ; L. FANANAS, Auteur ; Sabine HENTZE, Auteur ; Stefan A. WUDY, Auteur ; Rainer HELLWEG, Auteur Article en page(s) : p.971-980 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : The prenatal environment shapes the offspring's phenotype; moreover, transgenerational stress and stress during pregnancy may play a role. Brain-derived neurotrophic factor (BDNF) and glucocorticoids influence neurodevelopment during pregnancy, and there is evidence that BDNF in amniotic fluid is mainly of fetal origin, while the source of glucocorticoids is maternal. We tested the hypothesis that maternal early life stress, psychiatric diagnoses, anxiety, perceived stress, and socioeconomic status influence BDNF and glucocorticoid concentrations in amniotic fluid in the second trimester. We studied 79 pregnant women who underwent amniocentesis in the early second trimester and analyzed BDNF, cortisol, and cortisone concentrations in amniotic fluid. The endocrine data were related to maternal early life adversities (Childhood Trauma Questionaire), perceived stress (Perceived Stress Scale), anxiety, socioeconomic status (family income), and the presence of psychiatric diseases. We found BDNF in amniotic fluid to be positively related to maternal early adversity (Childhood Trauma Questionaire). Low family income (socioeconomic status) was related to high amniotic fluid glucocorticoid concentrations. Neither glucocorticoid concentrations nor hydroxy steroid dehydrogenase (HSD2) activity could be related to BDNF concentrations in amniotic fluid. Early maternal adverse events may be reflected in the fetal BDNF regulation, and it should be tested whether this relates to differences in neurodevelopment. En ligne : http://dx.doi.org/10.1017/s0954579418000147 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=366 [article] Cortisol, cortisone, and BDNF in amniotic fluid in the second trimester of pregnancy: Effect of early life and current maternal stress and socioeconomic status [texte imprimé] / Michael DEUSCHLE, Auteur ; Ferdinand HENDLMEIER, Auteur ; Stephanie WITT, Auteur ; Marcella RIETSCHEL, Auteur ; Maria GILLES, Auteur ; A. SANCHEZ-GUIJO, Auteur ; L. FANANAS, Auteur ; Sabine HENTZE, Auteur ; Stefan A. WUDY, Auteur ; Rainer HELLWEG, Auteur . - p.971-980. Langues : Anglais (eng) in Development and Psychopathology > 30-3 (August 2018) . - p.971-980 Index. décimale : PER Périodiques Résumé : The prenatal environment shapes the offspring's phenotype; moreover, transgenerational stress and stress during pregnancy may play a role. Brain-derived neurotrophic factor (BDNF) and glucocorticoids influence neurodevelopment during pregnancy, and there is evidence that BDNF in amniotic fluid is mainly of fetal origin, while the source of glucocorticoids is maternal. We tested the hypothesis that maternal early life stress, psychiatric diagnoses, anxiety, perceived stress, and socioeconomic status influence BDNF and glucocorticoid concentrations in amniotic fluid in the second trimester. We studied 79 pregnant women who underwent amniocentesis in the early second trimester and analyzed BDNF, cortisol, and cortisone concentrations in amniotic fluid. The endocrine data were related to maternal early life adversities (Childhood Trauma Questionaire), perceived stress (Perceived Stress Scale), anxiety, socioeconomic status (family income), and the presence of psychiatric diseases. We found BDNF in amniotic fluid to be positively related to maternal early adversity (Childhood Trauma Questionaire). Low family income (socioeconomic status) was related to high amniotic fluid glucocorticoid concentrations. Neither glucocorticoid concentrations nor hydroxy steroid dehydrogenase (HSD2) activity could be related to BDNF concentrations in amniotic fluid. Early maternal adverse events may be reflected in the fetal BDNF regulation, and it should be tested whether this relates to differences in neurodevelopment. En ligne : http://dx.doi.org/10.1017/s0954579418000147 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=366

Predicting psychopathology symptom trajectories using machine learning: a 33-year prospective study / Seda SACU in Journal of Child Psychology and Psychiatry, 67-11 (November 2026)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 67-11 (November 2026) . - p.1855-1867 Titre : Predicting psychopathology symptom trajectories using machine learning: a 33-year prospective study Type de document : texte imprimé Auteurs : Seda SACU, Auteur ; Fabian STREIT, Auteur ; Stephanie H. WITT, Auteur ; Tobias BANASCHEWSKI, Auteur ; Nathalie E. HOLZ, Auteur ; Katharina SCHULTEBRAUCKS, Auteur Article en page(s) : p.1855-1867 Langues : Anglais (eng) Mots-clés : Symptom trajectories  developmental psychopathology  growth mixture models  machine learning  internalizing symptoms  externalizing symptoms Index. décimale : PER Périodiques Résumé : Background While previous literature has established a link between psychopathology symptom trajectories and psychosocial risk, most studies have not extended into adulthood or incorporated comprehensive risk measures. We aimed to identify symptom trajectories for externalizing and internalizing symptoms over a 25-year span and predict them using machine learning. Methods We used data from a longitudinal birth cohort study (N?=?317, 171 females). Psychopathology symptoms were measured between age 8 and 33. Symptom trajectories were identified using growth mixture models. An extensive battery of risk and protective measures over the lifespan (e.g., polygenic scores, psychosocial risk factors, temperament) was used to train machine learning-based classification models. Results We identified three trajectories for both externalizing and internalizing symptoms (entropy >?0.8, likelihood ratio test p? En ligne : https://doi.org/10.1111/jcpp.70180 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=594 [article] Predicting psychopathology symptom trajectories using machine learning: a 33-year prospective study [texte imprimé] / Seda SACU, Auteur ; Fabian STREIT, Auteur ; Stephanie H. WITT, Auteur ; Tobias BANASCHEWSKI, Auteur ; Nathalie E. HOLZ, Auteur ; Katharina SCHULTEBRAUCKS, Auteur . - p.1855-1867. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 67-11 (November 2026) . - p.1855-1867 Mots-clés : Symptom trajectories  developmental psychopathology  growth mixture models  machine learning  internalizing symptoms  externalizing symptoms Index. décimale : PER Périodiques Résumé : Background While previous literature has established a link between psychopathology symptom trajectories and psychosocial risk, most studies have not extended into adulthood or incorporated comprehensive risk measures. We aimed to identify symptom trajectories for externalizing and internalizing symptoms over a 25-year span and predict them using machine learning. Methods We used data from a longitudinal birth cohort study (N?=?317, 171 females). Psychopathology symptoms were measured between age 8 and 33. Symptom trajectories were identified using growth mixture models. An extensive battery of risk and protective measures over the lifespan (e.g., polygenic scores, psychosocial risk factors, temperament) was used to train machine learning-based classification models. Results We identified three trajectories for both externalizing and internalizing symptoms (entropy >?0.8, likelihood ratio test p? En ligne : https://doi.org/10.1111/jcpp.70180 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=594

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