TY - JOUR
T1 - Multidimensional Analysis of Major Depression
T2 - Association Between BDNF Methylation, Psychosocial and Cognitive Domains
AU - Velásquez, María Marcela
AU - Gómez-Maquet, Yvonne
AU - Ferro, Eugenio
AU - Cárdenas, Wilmer
AU - González-Nieves, Silvia
AU - Lattig, María Claudia
N1 - Publisher Copyright:
Copyright © 2021 Velásquez, Gómez-Maquet, Ferro, Cárdenas, González-Nieves and Lattig.
PY - 2021/12/14
Y1 - 2021/12/14
N2 - Major Depression is a complex disorder with a growing incidence worldwide and multiple variables have been associated with its etiology. Nonetheless, its diagnosis is continually changing and the need to understand it from a multidimensional perspective is clear. The purpose of this study was to identify risk factors for depression in a case-control study with 100 depressive inpatients and 87 healthy controls. A multivariate logistic regression analysis was performed including psychosocial factors, cognitive maladaptive schema domains, and specific epigenetic marks (BDNF methylation levels at five CpG sites in promoter IV). A family history of depression, the cognitive schemas of impaired autonomy/performance, impaired limits, other-directedness, and the methylation level of a specific CpG site were identified as predictors. Interestingly, we found a mediating effect of those cognitive schemas in the relationship between childhood maltreatment and depression. Also, we found that depressive patients exhibited hypomethylation in a CpG site of BDNF promoter IV, which adds to the current discussion about the role of methylation in depression. We highlight that determining the methylation of a specific region of a single gene offers the possibility of accessing a highly informative an easily measurable variable, which represents benefits for diagnosis. Following complete replication and validation on larger samples, models like ours could be applicable as additional diagnostic tools in the clinical context.
AB - Major Depression is a complex disorder with a growing incidence worldwide and multiple variables have been associated with its etiology. Nonetheless, its diagnosis is continually changing and the need to understand it from a multidimensional perspective is clear. The purpose of this study was to identify risk factors for depression in a case-control study with 100 depressive inpatients and 87 healthy controls. A multivariate logistic regression analysis was performed including psychosocial factors, cognitive maladaptive schema domains, and specific epigenetic marks (BDNF methylation levels at five CpG sites in promoter IV). A family history of depression, the cognitive schemas of impaired autonomy/performance, impaired limits, other-directedness, and the methylation level of a specific CpG site were identified as predictors. Interestingly, we found a mediating effect of those cognitive schemas in the relationship between childhood maltreatment and depression. Also, we found that depressive patients exhibited hypomethylation in a CpG site of BDNF promoter IV, which adds to the current discussion about the role of methylation in depression. We highlight that determining the methylation of a specific region of a single gene offers the possibility of accessing a highly informative an easily measurable variable, which represents benefits for diagnosis. Following complete replication and validation on larger samples, models like ours could be applicable as additional diagnostic tools in the clinical context.
KW - BDNF
KW - epigenetics
KW - family history of depression
KW - major depressive disorder
KW - maladaptive cognitive schemas
KW - methylation
UR - http://www.scopus.com/inward/record.url?scp=85121864717&partnerID=8YFLogxK
U2 - 10.3389/fpsyt.2021.768680
DO - 10.3389/fpsyt.2021.768680
M3 - Article
AN - SCOPUS:85121864717
SN - 1664-0640
VL - 12
JO - Frontiers in Psychiatry
JF - Frontiers in Psychiatry
M1 - 768680
ER -