Gene expression changes associated with trajectories of psychopathology in a longitudinal cohort of children and adolescents

Abstract

We aimed to identify blood gene expression patterns associated to psychopathological trajectories retrieved from a large community, focusing on the emergence and remission of general psychiatric symptoms. Hundred and three individuals from the Brazilian High-Risk Cohort Study (BHRCS) for mental disorders were classified in four groups according to Child Behavior Checklist (CBCL) total score at the baseline (w0) and after 3 years (w1): low-high (L-H) (N = 27), high-low (H-L) (N = 12), high-high (H-H) (N = 34) and low-low (L-L) groups (N = 30). Blood gene expression profile was measured using Illumina HT-12 Beadchips, and paired analyses comparing w0 and w1 were performed for each group. Results: 98 transcripts were differentially expressed comparing w0 and

Genetic variations in the retrograde endocannabinoid signaling pathway in Chinese patients with major depressive disorder

“…NDUFA2 encodes a subunit of the hydrophobic protein fraction of Complex 1. The mRNA level of NDUFA2 was most significantly associated with schizophrenia ( 38 ) and the remission of psychiatric symptoms ( 39 ). NDUFB11 (ESSS protein), located in the short arm of the X-chromosome, is essential for the assembly and activity of Complex I. NDUFB11 may play a role in the mechanism underlying cognitive deficits in children and adolescents born preterm.…”

Use of Mobile Technology to Identify Behavioral Mechanisms Linked to Mental Health Outcomes in Kenya: Protocol for Development and Validation of a Predictive Model

“…We will make inferences about which behavioral phenotypes are most predictive and evaluate their time-delayed impact upon mood at different time lags. Granger causality [30] is a quantitative framework for assessing the relationship between time series, and has been widely used in econometrics, neuroscience, and genomics to study the temporal causal relations among multiple economic events [30,31] directional interactions of neurobiological signals [32][33][34] and gene time-course expression levels [35][36][37], respectively. Given two time series and , the temporal structure of the data is used to assess whether the past values of , are predictive of future values of , beyond what the past of can predict alone; if is said to Granger cause .…”