Autistic behavior is a common outcome of biallelic disruption of PDZD8 in humans and mice / Stijn VAN DE SOMPELE ; Clemence LIGNEUL ; Camille CHATELAIN ; Christophe BARREA ; Jason P LERCH ; Beatrice M FILIPPI ; Serpil ALKAN ; Elfride DE BAERE ; Jamie JOHNSTON ; Steven J CLAPCOTE in Molecular Autism, 16 (2025)  

Public ISBD [article]  inMolecular Autism > 16 (2025) . - 14 Titre : Autistic behavior is a common outcome of biallelic disruption of PDZD8 in humans and mice Type de document : Texte imprimé et/ou numérique Auteurs : Stijn VAN DE SOMPELE, Auteur ; Clemence LIGNEUL, Auteur ; Camille CHATELAIN, Auteur ; Christophe BARREA, Auteur ; Jason P LERCH, Auteur ; Beatrice M FILIPPI, Auteur ; Serpil ALKAN, Auteur ; Elfride DE BAERE, Auteur ; Jamie JOHNSTON, Auteur ; Steven J CLAPCOTE, Auteur Article en page(s) : 14 Langues : Anglais (eng) Mots-clés : Animals  Humans  Male  Female  Mice  Autistic Disorder/genetics  Alleles  Intellectual Disability/genetics  Pedigree  Autism Spectrum Disorder/genetics  Child  Phenotype  Behavior, Animal  Membrane Proteins/genetics  Social Behavior  Mutation  Adult  Child, Preschool  DNA-Binding Proteins  Autism spectrum disorder  Intellectual disability  Olfactory behavior  Pdzd8  Social discrimination  approved by Ghent University Ethical Committee. The affected individuals were  recruited to the study with the informed consent of their mother using a process  that adhered to the tenets of the Declaration of Helsinki. The mouse experiments  were conducted in compliance with the UK Animals (Scientific Procedures) Act 1986  under UK Home Office licences and approved by the Animal Welfare and Ethical  Review Body at the University of Leeds. Consent for publication: Written consent  for publication of case reports and images pertaining to the affected individuals  was obtained from their mother. Competing interests: The authors declare no  competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Intellectual developmental disorder with autism and dysmorphic facies (IDDADF) is a rare syndromic intellectual disability (ID) caused by homozygous disruption of PDZD8 (PDZ domain-containing protein 8), an integral endoplasmic reticulum (ER) protein. All four previously identified IDDADF cases exhibit autistic behavior, with autism spectrum disorder (ASD) diagnosed in three cases. To determine whether autistic behavior is a common outcome of PDZD8 disruption, we studied a third family with biallelic mutation of PDZD8 (family C) and further characterized PDZD8-deficient (Pdzd8(tm1b)) mice that exhibit stereotyped motor behavior relevant to ASD. METHODS: Homozygosity mapping, whole-exome sequencing, and cosegregation analysis were used to identify the PDZD8 variant responsible for IDDADF, including diagnoses of ASD, in consanguineous family C. To assess the in vivo effect of PDZD8 disruption on social responses and related phenotypes, behavioral, structural magnetic resonance imaging, and microscopy analyses were conducted on the Pdzd8(tm1b) mouse line. Metabolic activity was profiled using sealed metabolic cages. RESULTS: The discovery of a third family with IDDADF caused by biallelic disruption of PDZD8 permitted identification of a core clinical phenotype consisting of developmental delay, ID, autism, and facial dysmorphism. In addition to impairments in social recognition and social odor discrimination, Pdzd8(tm1b) mice exhibit increases in locomotor activity (dark phase only) and metabolic rate (both lights-on and dark phases), and decreased plasma triglyceride in males. In the brain, Pdzd8(tm1b) mice exhibit increased levels of accessory olfactory bulb volume, primary olfactory cortex volume, dendritic spine density, and ER stress- and mitochondrial fusion-related transcripts, as well as decreased levels of cerebellar nuclei volume and adult neurogenesis. LIMITATIONS: The total number of known cases of PDZD8-related IDDADF remains low. Some mouse experiments in the study did not use balanced numbers of males and females. The assessment of ER stress and mitochondrial fusion markers did not extend beyond mRNA levels. CONCLUSIONS: Our finding that the Pdzd8(tm1b) mouse model and all six known cases of IDDADF exhibit autistic behavior, with ASD diagnosed in five cases, identifies this trait as a common outcome of biallelic disruption of PDZD8 in humans and mice. Other abnormalities exhibited by Pdzd8(tm1b) mice suggest that the range of comorbidities associated with PDZD8 deficiency may be wider than presently recognized. En ligne : https://dx.doi.org/10.1186/s13229-025-00650-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555 [article] Autistic behavior is a common outcome of biallelic disruption of PDZD8 in humans and mice [Texte imprimé et/ou numérique] / Stijn VAN DE SOMPELE, Auteur ; Clemence LIGNEUL, Auteur ; Camille CHATELAIN, Auteur ; Christophe BARREA, Auteur ; Jason P LERCH, Auteur ; Beatrice M FILIPPI, Auteur ; Serpil ALKAN, Auteur ; Elfride DE BAERE, Auteur ; Jamie JOHNSTON, Auteur ; Steven J CLAPCOTE, Auteur . - 14. Langues : Anglais (eng) in Molecular Autism > 16 (2025) . - 14 Mots-clés : Animals  Humans  Male  Female  Mice  Autistic Disorder/genetics  Alleles  Intellectual Disability/genetics  Pedigree  Autism Spectrum Disorder/genetics  Child  Phenotype  Behavior, Animal  Membrane Proteins/genetics  Social Behavior  Mutation  Adult  Child, Preschool  DNA-Binding Proteins  Autism spectrum disorder  Intellectual disability  Olfactory behavior  Pdzd8  Social discrimination  approved by Ghent University Ethical Committee. The affected individuals were  recruited to the study with the informed consent of their mother using a process  that adhered to the tenets of the Declaration of Helsinki. The mouse experiments  were conducted in compliance with the UK Animals (Scientific Procedures) Act 1986  under UK Home Office licences and approved by the Animal Welfare and Ethical  Review Body at the University of Leeds. Consent for publication: Written consent  for publication of case reports and images pertaining to the affected individuals  was obtained from their mother. Competing interests: The authors declare no  competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Intellectual developmental disorder with autism and dysmorphic facies (IDDADF) is a rare syndromic intellectual disability (ID) caused by homozygous disruption of PDZD8 (PDZ domain-containing protein 8), an integral endoplasmic reticulum (ER) protein. All four previously identified IDDADF cases exhibit autistic behavior, with autism spectrum disorder (ASD) diagnosed in three cases. To determine whether autistic behavior is a common outcome of PDZD8 disruption, we studied a third family with biallelic mutation of PDZD8 (family C) and further characterized PDZD8-deficient (Pdzd8(tm1b)) mice that exhibit stereotyped motor behavior relevant to ASD. METHODS: Homozygosity mapping, whole-exome sequencing, and cosegregation analysis were used to identify the PDZD8 variant responsible for IDDADF, including diagnoses of ASD, in consanguineous family C. To assess the in vivo effect of PDZD8 disruption on social responses and related phenotypes, behavioral, structural magnetic resonance imaging, and microscopy analyses were conducted on the Pdzd8(tm1b) mouse line. Metabolic activity was profiled using sealed metabolic cages. RESULTS: The discovery of a third family with IDDADF caused by biallelic disruption of PDZD8 permitted identification of a core clinical phenotype consisting of developmental delay, ID, autism, and facial dysmorphism. In addition to impairments in social recognition and social odor discrimination, Pdzd8(tm1b) mice exhibit increases in locomotor activity (dark phase only) and metabolic rate (both lights-on and dark phases), and decreased plasma triglyceride in males. In the brain, Pdzd8(tm1b) mice exhibit increased levels of accessory olfactory bulb volume, primary olfactory cortex volume, dendritic spine density, and ER stress- and mitochondrial fusion-related transcripts, as well as decreased levels of cerebellar nuclei volume and adult neurogenesis. LIMITATIONS: The total number of known cases of PDZD8-related IDDADF remains low. Some mouse experiments in the study did not use balanced numbers of males and females. The assessment of ER stress and mitochondrial fusion markers did not extend beyond mRNA levels. CONCLUSIONS: Our finding that the Pdzd8(tm1b) mouse model and all six known cases of IDDADF exhibit autistic behavior, with ASD diagnosed in five cases, identifies this trait as a common outcome of biallelic disruption of PDZD8 in humans and mice. Other abnormalities exhibited by Pdzd8(tm1b) mice suggest that the range of comorbidities associated with PDZD8 deficiency may be wider than presently recognized. En ligne : https://dx.doi.org/10.1186/s13229-025-00650-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555

Harmonizing two measures of adaptive functioning using computational approaches: prediction of vineland adaptive behavior scales II (VABS-II) from the adaptive behavior assessment system II (ABAS-II) scores / Alexandra LAUTARESCU ; Tony CHARMAN ; Jennifer CROSBIE ; Russell J SCHACHAR ; Alana IABONI ; Stelios GEORGIADES ; Robert NICOLSON ; Elizabeth KELLEY ; Muhammad AYUB ; Jessica JONES ; Paul D ARNOLD ; Jason P LERCH ; Evdokia ANAGNOSTOU ; Azadeh KUSHKI in Molecular Autism, 15 (2024)  

Public ISBD [article]  inMolecular Autism > 15 (2024) . - 51 Titre : Harmonizing two measures of adaptive functioning using computational approaches: prediction of vineland adaptive behavior scales II (VABS-II) from the adaptive behavior assessment system II (ABAS-II) scores Type de document : Texte imprimé et/ou numérique Auteurs : Alexandra LAUTARESCU, Auteur ; Tony CHARMAN, Auteur ; Jennifer CROSBIE, Auteur ; Russell J SCHACHAR, Auteur ; Alana IABONI, Auteur ; Stelios GEORGIADES, Auteur ; Robert NICOLSON, Auteur ; Elizabeth KELLEY, Auteur ; Muhammad AYUB, Auteur ; Jessica JONES, Auteur ; Paul D ARNOLD, Auteur ; Jason P LERCH, Auteur ; Evdokia ANAGNOSTOU, Auteur ; Azadeh KUSHKI, Auteur Article en page(s) : 51 Langues : Anglais (eng) Mots-clés : Humans  Male  Female  Child  Adolescent  *Adaptation, Psychological  Autistic Disorder/diagnosis/psychology Index. décimale : PER Périodiques Résumé : BACKGROUND: Very large sample sizes are often needed to capture heterogeneity in autism, necessitating data sharing across multiple studies with diverse assessment instruments. In these cases, data harmonization can be a critical tool for deriving a single dataset for analysis. This can be done through computational approaches that enable the conversion of scores across various instruments. To this end, our study examined the use of analytical approaches for mapping scores on two measures of adaptive functioning, namely predicting the scores on the vineland adaptive behavior scales II (VABS) from the scores on the adaptive behavior assessment system II (ABAS). METHODS: Data from the province of Ontario neurodevelopmental disorders network were used. The dataset included scores VABS and the ABAS for 720 participants (autism n = 547, 433 male, age: 11.31?+?3.63 years; neurotypical n = 173, 95 male, age: 12.53?+?4.05 years). Six regression approaches (ordinary least squares (OLS) linear regression, ridge regression, ElasticNet, LASSO, AdaBoost, random forest) were used to predict VABS total scores from the ABAS scores, demographic variables (age, sex), and phenotypic measures (diagnosis; core and co-occurring features; IQ; internalizing and externalizing symptoms). RESULTS: The VABS scores were significantly higher than the ABAS scores in the autism group, but not the neurotypical group (median difference: 8, 95% CI = (7,9)). The difference was negatively associated with age (beta = -1.2?+?0.12, t = -10.6, p < 0.0001). All estimators demonstrated similar performance, with no statistically significant differences in mean absolute error (MAE) values across estimators (MAE range: 4.96-6.91). The highest contributing features to the prediction model were ABAS composite score, diagnosis, and age. LIMITATIONS: This study has several strengths, including the large sample. We did not examine the conversion of domain scores across the two measures of adaptive functioning and suggest this as a future area of investigation. CONCLUSION: Overall, our results supported the feasibility of harmonization. Our results suggest that a linear regression model trained on the ABAS composite score, the ABAS raw domain scores, and age, sex, and diagnosis would provide an acceptable trade-off between accuracy, parsimony, and data collection and processing complexity. En ligne : https://dx.doi.org/10.1186/s13229-024-00630-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555 [article] Harmonizing two measures of adaptive functioning using computational approaches: prediction of vineland adaptive behavior scales II (VABS-II) from the adaptive behavior assessment system II (ABAS-II) scores [Texte imprimé et/ou numérique] / Alexandra LAUTARESCU, Auteur ; Tony CHARMAN, Auteur ; Jennifer CROSBIE, Auteur ; Russell J SCHACHAR, Auteur ; Alana IABONI, Auteur ; Stelios GEORGIADES, Auteur ; Robert NICOLSON, Auteur ; Elizabeth KELLEY, Auteur ; Muhammad AYUB, Auteur ; Jessica JONES, Auteur ; Paul D ARNOLD, Auteur ; Jason P LERCH, Auteur ; Evdokia ANAGNOSTOU, Auteur ; Azadeh KUSHKI, Auteur . - 51. Langues : Anglais (eng) in Molecular Autism > 15 (2024) . - 51 Mots-clés : Humans  Male  Female  Child  Adolescent  *Adaptation, Psychological  Autistic Disorder/diagnosis/psychology Index. décimale : PER Périodiques Résumé : BACKGROUND: Very large sample sizes are often needed to capture heterogeneity in autism, necessitating data sharing across multiple studies with diverse assessment instruments. In these cases, data harmonization can be a critical tool for deriving a single dataset for analysis. This can be done through computational approaches that enable the conversion of scores across various instruments. To this end, our study examined the use of analytical approaches for mapping scores on two measures of adaptive functioning, namely predicting the scores on the vineland adaptive behavior scales II (VABS) from the scores on the adaptive behavior assessment system II (ABAS). METHODS: Data from the province of Ontario neurodevelopmental disorders network were used. The dataset included scores VABS and the ABAS for 720 participants (autism n = 547, 433 male, age: 11.31?+?3.63 years; neurotypical n = 173, 95 male, age: 12.53?+?4.05 years). Six regression approaches (ordinary least squares (OLS) linear regression, ridge regression, ElasticNet, LASSO, AdaBoost, random forest) were used to predict VABS total scores from the ABAS scores, demographic variables (age, sex), and phenotypic measures (diagnosis; core and co-occurring features; IQ; internalizing and externalizing symptoms). RESULTS: The VABS scores were significantly higher than the ABAS scores in the autism group, but not the neurotypical group (median difference: 8, 95% CI = (7,9)). The difference was negatively associated with age (beta = -1.2?+?0.12, t = -10.6, p < 0.0001). All estimators demonstrated similar performance, with no statistically significant differences in mean absolute error (MAE) values across estimators (MAE range: 4.96-6.91). The highest contributing features to the prediction model were ABAS composite score, diagnosis, and age. LIMITATIONS: This study has several strengths, including the large sample. We did not examine the conversion of domain scores across the two measures of adaptive functioning and suggest this as a future area of investigation. CONCLUSION: Overall, our results supported the feasibility of harmonization. Our results suggest that a linear regression model trained on the ABAS composite score, the ABAS raw domain scores, and age, sex, and diagnosis would provide an acceptable trade-off between accuracy, parsimony, and data collection and processing complexity. En ligne : https://dx.doi.org/10.1186/s13229-024-00630-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555

---

1 (1 - 2 / 2)