Trans-omics: Lipidomics, Transcriptomics, and Proteomics. Applications to Schizophrenia DOI
Md. Muedur Rahman, Chi Zhang,

Fumito Sano

et al.

Published: Jan. 1, 2024

Language: Английский

Single-nucleus RNA sequencing uncovers metabolic dysregulation in the prefrontal cortex of major depressive disorder patients DOI Creative Commons
Xiang‐Yao Li,

Y. Manjula Rao,

Guohao Li

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 3, 2025

Major depressive disorder (MDD) is a widespread psychiatric condition, recognized as the third leading cause of global disease burden in 2008. In context MDD, alterations synaptic transmission within prefrontal cortex (PFC) are associated with PFC hypoactivation, key factor cognitive function and mood regulation. Given high energy demands central nervous system, these changes suggest metabolic imbalance MDD patients. However, cellular mechanisms underlying this dysregulation remain not fully elucidated. This study employs single-nucleus RNA sequencing (snRNA-seq) data to predict dorsolateral (DLPFC) Our analysis revealed cell type-specific patterns, notably disruption oxidative phosphorylation carbohydrate metabolism DLPFC Gene set enrichment based on human phenotype ontology predicted serum lactate levels patients, corroborated by observed decrease patients compared 47 age-matched healthy controls (HCs). transcriptional offers novel insights into disturbances dynamics hypoactivation. These findings instrumental for comprehending pathophysiology may guide development innovative therapeutic strategies.

Language: Английский

Citations

1

The Genomic Intersection of Oligodendrocyte Dynamics in Schizophrenia and Aging Unravels Novel Pathological Mechanisms and Therapeutic Potentials DOI Open Access
Andrea Rivera,

John R. Normanton,

Arthur M. Butt

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(8), P. 4452 - 4452

Published: April 18, 2024

Schizophrenia is a significant worldwide health concern, affecting over 20 million individuals and contributing to potential reduction in life expectancy by up 14.5 years. Despite its profound impact, the precise pathological mechanisms underlying schizophrenia continue remain enigmatic, with previous research yielding diverse occasionally conflicting findings. Nonetheless, one consistently observed phenomenon brain imaging studies of patients disruption white matter, bundles myelinated axons that provide connectivity rapid signalling between regions. Myelin produced specialised glial cells known as oligodendrocytes, which have been shown be disrupted post-mortem analyses patients. Oligodendrocytes are generated throughout major population oligodendrocyte progenitor (OPC), essential for matter plasticity. Notably, decline specific subpopulation OPC has identified principal factor loss aging brain, suggesting this may also schizophrenia. In review, we analysed genomic databases pinpoint intersections identify shared cognitive dysfunction.

Language: Английский

Citations

5

Integrative Single-Cell Analysis of Autism Spectrum Disorder Animal Models Reveal Convergent Transcriptomic Dysregulation Involved in Excitatory-Inhibitory Imbalance and Glial Disfunction DOI Creative Commons
João V. Nani, Victor J. Duque,

Alysson R. Muotri

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: May 6, 2025

ABSTRACT Autism Spectrum Disorder (ASD) presents profound clinical and etiological heterogeneity, complicating the identification of core pathophysiological mechanisms. Single-cell RNA sequencing (scRNA-seq) offers cellular resolution but integrating findings across diverse studies remains challenging. Here, we constructed a unified single-cell reference framework by scRNA-seq data from 11 distinct genetic environmental ASD animal models, encompassing over 300.000 cells various brain regions developmental stages. Comparative analyses revealed convergent differentially expressed genes (DEGs) neuronal glial populations. Cross-model comparisons validated integration, showing significant concordance between dataset individual studies, particularly for populations, demonstrating how models like valproic acid exposure recapitulate some transcriptomic alterations seen in models. Cell communication support widespread excitatory-inhibitory imbalance with predicted signaling involving ligands Pdgfa Reln . Furthermore, identified dysfunction, notably downregulation crucial functional astrocytes signatures metabolic dysregulation mature oligodendrocytes. Cross-referencing SFARI database confirmed overlap high-confidence risk genes, notable dysregulated specific cell types included Ermn (upregulated multiple glia), Foxg1 (downregulated L5/6 NP neurons) Mef2c MEIS2-like interneurons). Comparison human postmortem conserved dysregulation, highlighting enrichment presynaptic/postsynaptic translation processes neurons (implicating CACNAIA , GRIN2B CAMK2A ribosomal proteins) along neurodevelopmental disorder pathways oligodendrocytes, NRXN DLGAP gene networks. This integrative study provides unprecedented insight into molecular pathologies underlying ASD, establishing valuable resource understanding shared mechanisms identifying new potential therapeutic targets.

Language: Английский

Citations

0

A neuro-immune axis of transcriptomic dysregulation within the subgenual anterior cingulate cortex in schizophrenia DOI Creative Commons
Rachel L. Smith, Ágoston Mihalik, Nirmala Akula

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 16, 2025

Many genes are linked to psychiatric disorders, but genome-wide association studies (GWAS) and differential gene expression (DGE) analyses in post-mortem brain tissue often implicate distinct sets. This disconnect impedes therapeutic development, which relies on integrating genetic genomic insights. We address this issue using a novel multivariate technique that reduces DGE bias by leveraging co-expression networks controlling for confounds such as drug exposure. Deep RNA sequencing was performed bulk sgACC from individuals with bipolar disorder (BD; N=35), major depression (MDD; N=51), schizophrenia (SCZ; N=44), controls (N=55). Toxicology data dimensionality reduced multiple correspondence analysis; case-control then analyzed 1) traditional 2) group regularized canonical correlation analysis (GRCCA) - regression method accounts feature interdependence. Gene set enrichment compared results established neuropsychiatric risk genes, ontology pathways, cell type enrichments. GRCCA revealed significant SCZ ( P perm =0.001; no BD or MDD association), the resulting weight vector correlated SCZ-control t-statistics R =0.53; <0.05). Both methods indicated down-regulation of immune microglial upregulation ion transport excitatory neuron genes. However, at both transcript level showed stronger enrichments (FDR<0.05). Notably, were enriched GWAS-implicated (FDR<0.05), while not. These findings identify SCZ-specific pattern highlights implicates neuro-immune thus demonstrating utility approaches integrate signals.

Language: Английский

Citations

0

Molecular overlaps of neurological manifestations of COVID-19 and schizophrenia from a proteomic perspective DOI
André Saraiva Leão Marcelo Antunes, Guilherme Reis‐de‐Oliveira, Daniel Martins‐de‐Souza

et al.

European Archives of Psychiatry and Clinical Neuroscience, Journal Year: 2024, Volume and Issue: unknown

Published: July 19, 2024

Language: Английский

Citations

2

Advancing Mental Health Research Through Strategic Integration of Transdiagnostic Dimensions and Genomics DOI
Alysa E. Doyle, Carrie E. Bearden, Raquel E. Gur

et al.

Biological Psychiatry, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Language: Английский

Citations

2

Common changes in rat cortical gene expression after valproate or lithium treatment particularly affect pre- and post-synaptic pathways that regulate four neurotransmitters systems DOI
Brian Dean, Elizabeth Scarr

The World Journal of Biological Psychiatry, Journal Year: 2023, Volume and Issue: 25(1), P. 54 - 64

Published: Sept. 19, 2023

Objectives We have postulated that common changes in gene expression after treatment with different therapeutic classes of psychotropic drugs contribute to their mechanisms action.

Language: Английский

Citations

4

Astrocyte-Neuron Interactions in Substance Use Disorders DOI
Eden V. Harder, Janay P. Franklin, Jonathan W. VanRyzin

et al.

Advances in neurobiology, Journal Year: 2024, Volume and Issue: unknown, P. 165 - 191

Published: Jan. 1, 2024

Language: Английский

Citations

1

Small nucleolar RNAs and the brain: Growing evidence supporting their role in psychiatric disorders. DOI Creative Commons
Juliette Salles, Rixing Lin, Gustavo Turecki

et al.

Biological Psychiatry Global Open Science, Journal Year: 2024, Volume and Issue: 5(2), P. 100415 - 100415

Published: Nov. 10, 2024

Noncoding RNAs comprise most of the transcriptome and represent an emerging area research. Among them, small nucleolar (snoRNAs) have emerged as a promising target because they been associated with development evolution several diseases, including psychiatric disorders. snoRNAs are expressed in brain, some showing brain-specific expression that indicates specific roles brain development, function, dysfunction. However, role conditions affect needs further investigation to be better understood. This scoping review summarizes existing literature on studies investigated psychiatry offers insight into potential pathophysiological mechanisms future

Language: Английский

Citations

1

Analysis of single-cell transcriptome data from a mouse model implicates protein synthesis dysfunction in schizophrenia DOI
Andrew E. Weller, Thomas N. Ferraro, Glenn A. Doyle

et al.

Genes & Genomics, Journal Year: 2024, Volume and Issue: 46(9), P. 1071 - 1084

Published: July 31, 2024

Language: Английский

Citations

0