Publications by authors named "C B Schleifer"
Schizophrenia spectrum disorders (SSDs) are characterized by substantial clinical and genetic heterogeneity. Multiple recurrent copy number variants (CNVs) increase risk for SSDs; however, how known risk CNVs and broader genome-wide CNVs influence clinical variability is unclear. The current study examined associations between borderline intellectual functioning or childhood-onset psychosis, known risk CNVs, and burden of deletions affecting genes in 18 previously validated neurodevelopmental gene-sets in 618 SSD individuals.
View Article and Find Full Text PDFBackground: 22q11.2 deletion syndrome (22qDel) is a copy number variant that is associated with psychosis and other neurodevelopmental disorders. Adolescents who are at clinical high risk for psychosis (CHR) are identified based on the presence of subthreshold psychosis symptoms.
View Article and Find Full Text PDFDifferential inflammatory profiles in carriers of reciprocal 22q11.2 copy number variants.
Psychoneuroendocrinology
November 2024
Article Synopsis
- Genetic copies at the 22q11.2 locus can lead to a higher risk of neuropsychiatric disorders and immune issues, with inflammation profiles potentially linking immune dysfunction to psychiatric symptoms.
- The study involved analyzing blood samples from 22q11.2 deletion and duplication carriers along with control participants to examine their inflammatory markers and assess relationships with psychosis risk and sleep disturbances.
- Results showed that 22qDup carriers had significantly higher IL-8 levels compared to typically developing controls, with some differences noted between 22qDup and 22qDel carriers, but no other significant inflammatory marker differences were found.
Background: Patients with early psychosis (EP) (within 3 years after psychosis onset) show significant variability, which makes predicting outcomes challenging. Currently, little evidence exists for stable relationships between neural microstructural properties and symptom profiles across EP diagnoses, which limits the development of early interventions.
Methods: A data-driven approach, partial least squares correlation, was used across 2 independent datasets to examine multivariate relationships between white matter properties and symptomatology and to identify stable and generalizable signatures in EP.
Background: Early Psychosis patients (EP, within 3 years after psychosis onset) show significant variability, making outcome predictions challenging. Currently, little evidence exists for stable relationships between neural microstructural properties and symptom profiles across EP diagnoses, limiting the development of early interventions.
Methods: A data-driven approach, Partial Least Squares (PLS) correlation, was used across two independent datasets to examine multivariate relationships between white matter (WM) properties and symptomatology, to identify stable and generalizable signatures in EP.