Dimensions of childhood adversity differentially affect biological aging in major depression
Abstract Adverse childhood experiences have been consistently linked with physical and mental health disorders in adulthood that may be mediated, in part, via the effects of such exposures on biological aging. Using recently developed “epigenetic clocks”, which provide an estimate of biological age,...
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2022-10-01
|
| Series: | Translational Psychiatry |
| Online Access: | https://doi.org/10.1038/s41398-022-02198-0 |
| _version_ | 1811194945914011648 |
|---|---|
| author | Ryan Rampersaud Ekaterina Protsenko Ruoting Yang Victor Reus Rasha Hammamieh Gwyneth W. Y. Wu Elissa Epel Marti Jett Aarti Gautam Synthia H. Mellon Owen M. Wolkowitz |
| author_facet | Ryan Rampersaud Ekaterina Protsenko Ruoting Yang Victor Reus Rasha Hammamieh Gwyneth W. Y. Wu Elissa Epel Marti Jett Aarti Gautam Synthia H. Mellon Owen M. Wolkowitz |
| author_sort | Ryan Rampersaud |
| collection | DOAJ |
| description | Abstract Adverse childhood experiences have been consistently linked with physical and mental health disorders in adulthood that may be mediated, in part, via the effects of such exposures on biological aging. Using recently developed “epigenetic clocks”, which provide an estimate of biological age, several studies have demonstrated a link between the cumulative exposure to childhood adversities and accelerated epigenetic aging. However, not all childhood adversities are equivalent and less is known about how distinct dimensions of childhood adversity relate to epigenetic aging metrics. Using two measures of childhood adversity exposure, we assess how the dimensions of Maltreatment and Household Dysfunction relate to epigenetic aging using two “second-generation” clocks, GrimAge and PhenoAge, in a cohort of unmedicated somatically healthy adults with moderate to severe major depression (n = 82). Our results demonstrate that the dimension of Maltreatment is associated with epigenetic age acceleration (EAA) using the PhenoAge but not the GrimAge clock. This association was observed using both the Childhood Trauma questionnaire (CTQ; β = 0.272, p = 0.013) and the Adverse Childhood Experiences (ACEs) questionnaire (β = 0.307, p = 0.005) and remained significant when adjusting for exposure to the dimension of Household Dysfunction (β = 0.322, p = 0.009). In contrast, the dimension of Household Dysfunction is associated with epigenetic age deceleration (β = −0.194, p = 0.083) which achieved significance after adjusting for exposure to the dimension of Maltreatment (β = −0.304, p = 0.022). This study is the first to investigate these effects among individuals with Major Depressive Disorder and suggests that these dimensions of adversity may be associated with disease via distinct biological mechanisms. |
| first_indexed | 2024-04-12T00:34:46Z |
| format | Article |
| id | doaj.art-f221bc9ea6514ef5816e1a754594afdb |
| institution | Directory Open Access Journal |
| issn | 2158-3188 |
| language | English |
| last_indexed | 2024-04-12T00:34:46Z |
| publishDate | 2022-10-01 |
| publisher | Nature Publishing Group |
| record_format | Article |
| series | Translational Psychiatry |
| spelling | doaj.art-f221bc9ea6514ef5816e1a754594afdb2022-12-22T03:55:11ZengNature Publishing GroupTranslational Psychiatry2158-31882022-10-011211910.1038/s41398-022-02198-0Dimensions of childhood adversity differentially affect biological aging in major depressionRyan Rampersaud0Ekaterina Protsenko1Ruoting Yang2Victor Reus3Rasha Hammamieh4Gwyneth W. Y. Wu5Elissa Epel6Marti Jett7Aarti Gautam8Synthia H. Mellon9Owen M. Wolkowitz10Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of MedicineUniversity of California San Francisco (UCSF) School of MedicineMedical Readiness Systems Biology, Center for Military Psychiatry and Neuroscience, Walter Reed Army Institute of ResearchWeill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of MedicineMedical Readiness Systems Biology, Center for Military Psychiatry and Neuroscience, Walter Reed Army Institute of ResearchWeill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of MedicineWeill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of MedicineHeadquarters, Walter Reed Army Institute of ResearchMedical Readiness Systems Biology, Center for Military Psychiatry and Neuroscience, Walter Reed Army Institute of ResearchDepartment of OB-GYN and Reproductive Sciences, UCSF School of MedicineWeill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of MedicineAbstract Adverse childhood experiences have been consistently linked with physical and mental health disorders in adulthood that may be mediated, in part, via the effects of such exposures on biological aging. Using recently developed “epigenetic clocks”, which provide an estimate of biological age, several studies have demonstrated a link between the cumulative exposure to childhood adversities and accelerated epigenetic aging. However, not all childhood adversities are equivalent and less is known about how distinct dimensions of childhood adversity relate to epigenetic aging metrics. Using two measures of childhood adversity exposure, we assess how the dimensions of Maltreatment and Household Dysfunction relate to epigenetic aging using two “second-generation” clocks, GrimAge and PhenoAge, in a cohort of unmedicated somatically healthy adults with moderate to severe major depression (n = 82). Our results demonstrate that the dimension of Maltreatment is associated with epigenetic age acceleration (EAA) using the PhenoAge but not the GrimAge clock. This association was observed using both the Childhood Trauma questionnaire (CTQ; β = 0.272, p = 0.013) and the Adverse Childhood Experiences (ACEs) questionnaire (β = 0.307, p = 0.005) and remained significant when adjusting for exposure to the dimension of Household Dysfunction (β = 0.322, p = 0.009). In contrast, the dimension of Household Dysfunction is associated with epigenetic age deceleration (β = −0.194, p = 0.083) which achieved significance after adjusting for exposure to the dimension of Maltreatment (β = −0.304, p = 0.022). This study is the first to investigate these effects among individuals with Major Depressive Disorder and suggests that these dimensions of adversity may be associated with disease via distinct biological mechanisms.https://doi.org/10.1038/s41398-022-02198-0 |
| spellingShingle | Ryan Rampersaud Ekaterina Protsenko Ruoting Yang Victor Reus Rasha Hammamieh Gwyneth W. Y. Wu Elissa Epel Marti Jett Aarti Gautam Synthia H. Mellon Owen M. Wolkowitz Dimensions of childhood adversity differentially affect biological aging in major depression Translational Psychiatry |
| title | Dimensions of childhood adversity differentially affect biological aging in major depression |
| title_full | Dimensions of childhood adversity differentially affect biological aging in major depression |
| title_fullStr | Dimensions of childhood adversity differentially affect biological aging in major depression |
| title_full_unstemmed | Dimensions of childhood adversity differentially affect biological aging in major depression |
| title_short | Dimensions of childhood adversity differentially affect biological aging in major depression |
| title_sort | dimensions of childhood adversity differentially affect biological aging in major depression |
| url | https://doi.org/10.1038/s41398-022-02198-0 |
| work_keys_str_mv | AT ryanrampersaud dimensionsofchildhoodadversitydifferentiallyaffectbiologicalaginginmajordepression AT ekaterinaprotsenko dimensionsofchildhoodadversitydifferentiallyaffectbiologicalaginginmajordepression AT ruotingyang dimensionsofchildhoodadversitydifferentiallyaffectbiologicalaginginmajordepression AT victorreus dimensionsofchildhoodadversitydifferentiallyaffectbiologicalaginginmajordepression AT rashahammamieh dimensionsofchildhoodadversitydifferentiallyaffectbiologicalaginginmajordepression AT gwynethwywu dimensionsofchildhoodadversitydifferentiallyaffectbiologicalaginginmajordepression AT elissaepel dimensionsofchildhoodadversitydifferentiallyaffectbiologicalaginginmajordepression AT martijett dimensionsofchildhoodadversitydifferentiallyaffectbiologicalaginginmajordepression AT aartigautam dimensionsofchildhoodadversitydifferentiallyaffectbiologicalaginginmajordepression AT synthiahmellon dimensionsofchildhoodadversitydifferentiallyaffectbiologicalaginginmajordepression AT owenmwolkowitz dimensionsofchildhoodadversitydifferentiallyaffectbiologicalaginginmajordepression |