Methylation Patterns of the FKBP5 Gene in Association with Childhood Maltreatment and Depressive Disorders.
Nora L GroßmannAntoine WeihsAnnemarie Luise KühnSusann SauerSimone RöhTobias WiechmannMonika Rex-HaffnerHenry VölzkeLinus VölkerElisabeth B BinderAlexander TeumerGeorg HomuthJohanna Klinger-KönigHans J GrabePublished in: International journal of molecular sciences (2024)
Childhood maltreatment is an important risk factor for adult depression and has been associated with changes in the hypothalamic pituitary adrenal (HPA) axis, including cortisol secretion and methylation of the FKBP5 gene. Furthermore, associations between depression and HPA changes have been reported. This study investigated the associations of whole-blood FKBP5 mRNA levels, serum cortisol levels, childhood maltreatment, and depressive symptoms with the whole-blood methylation status (assessed via target bisulfite sequencing) of 105 CpGs at the FKBP5 locus using data from the general population-based Study of Health in Pomerania (SHIP) ( N = 203). Both direct and interaction effects with the rs1360780 single-nucleotide polymorphism were investigated. Nominally significant associations of main effects on methylation of a single CpG site were observed at intron 3, intron 7, and the 3'-end of the gene. Additionally, methylation at two clusters at the 3'-end and intron 7 were nominally associated with childhood maltreatment × rs1360780 and depressive symptoms × rs1360780, respectively. The results add to the understanding of molecular mechanisms underlying the emergence of depression and could aid the development of personalised depression therapy and drug development.
Keyphrases
- depressive symptoms
- genome wide
- dna methylation
- sleep quality
- social support
- copy number
- childhood cancer
- early life
- public health
- healthcare
- mental health
- stem cells
- single cell
- bipolar disorder
- mesenchymal stem cells
- atomic force microscopy
- high resolution
- single molecule
- stress induced
- high speed
- cell therapy
- physical activity
- data analysis
- growth hormone