Janine Arloth

The paper identifies contmeQTLs linking childhood adversity to epigenetic changes in immune cells, which are associated with disease risk and inflammatory profiles.

The paper constructs co-expression networks using gene and isoform data from individuals with and without stress-related psychiatric disorders, revealing distinct network structures and regulatory rewiring.

This study investigates the differential dynamics and roles of FKBP51 isoforms in response to glucocorticoids using in vitro models and human blood cells, highlighting their distinct functions and implications for targeted therapies.

The paper identifies molecular and anatomical diversity in human cortical astrocytes and links adversity and glucocorticoid signalling to glutamate-related synaptic dysfunction in psychiatric disorders.

The paper examines how stress-induced brain responses relate to BMI in women, finding that specific brain regions predict BMI and that endocrine factors, not inflammation, are linked to these changes.

The paper introduces DiffBrainNet, a framework combining differential expression and network analysis to study glucocorticoid responses in mouse brain regions, revealing gene-level and network-level insights.

The paper examines how genetic variants affect gene expression in cortical neurons, identifying pathways linked to psychiatric disorders.

The paper identifies sex-specific genetic regulators of the blood transcriptome response to glucocorticoid receptor activation and links them to depression risk in a cohort of children and adolescents.

The paper links indoxyl sulfate, a gut microbiome-derived metabolite, to anxiety symptoms and specific brain connectivity patterns in patients with depression.

KiMONo integrates multi-omics data to infer networks of molecular associations, demonstrating robustness to noise and identifying disease-specific features in cancer and depression datasets.

The paper uses targeted metabolomics to analyze changes in acylcarnitines, amines, and lipids in response to citalopram/escitalopram treatment in MDD patients, identifying metabolic correlates of treatment response.

The paper investigates how psychiatric disease and aging affect FKBP5 expression in the human brain, identifying supragranular neurons as key targets.

DeepWAS integrates regulatory effect predictions of variants into GWAS to identify regulatory SNPs associated with diseases and traits.

The paper investigates how glucocorticoid receptor activation affects neuronal development in fetal human brain organoids using single-cell transcriptomics, finding cell-type specific impacts on differentiation and behavior-related gene expression.

The paper identifies FKBP5 epigenetic derepression by aging and stress as a driver of NF-kB-driven inflammation and cardiovascular risk through in vitro and cohort studies.

This paper investigates how m6A RNA methylation in the brain is regulated by stress and shows its role in fear memory, transcriptome response, and synaptic plasticity, with implications for stress-related disorders.

The paper introduces Re-Annotator, a pipeline to re-annotate microarray probes, finding over 25% of probes are differently interpreted compared to manufacturer annotations.