Abstract
Consistency in metal dynamics during pregnancy predicts depression risk in late childhood
Environmental health perspectives. Supplements, Vol.2024(1)
08/15/2024
DOI: 10.1289/isee.2024.1401
Abstract
Abstract only
BACKGROUND AND AIM[|]Exposure to metals and their dysregulation during pregnancy has been associated with childhood depression; however, underlying predictive mechanisms remain elusive. We studied whether the consistency of metal dynamics during pregnancy can predict children with depression risk during late childhood.[¤]METHOD[|]We leverage data on 393 children in a well-characterized longitudinal pediatric birth cohort in Mexico City. We used novel tooth-matrix-based biomarkers on 17 metals that directly measured weekly fetal metal uptake until birth. Children’s Depression Inventory (CDI) was administered to 8-12-year-olds, and depression risk was defined as having a t-scored-CDI above the 80th percentile. We introduce a metric named “consistency” that captures the rhythm and uniformity of patterns in the dynamic metal signals. Consistency in each metal dynamic was estimated using approximate entropy and a variation of the Lempel-Ziv Compression algorithm. Finally, we developed an interpretable machine-learning model using interactions between consistency features (approximate entropy and Lempel-Ziv Compression) and average prenatal dentine metal signals to predict depression risk in late childhood.[¤]RESULTS[|]This model achieved an accuracy of 70.5% on test data, with sensitivity and specificity of 72% and 65%, respectively. We found a major predictive feature: children with consistency in joint lithium-magnesium dynamics during pregnancy have 73% (OR[95%CI]: 0.27[0.15, 0.49], P<0.0001) less odds of high depression risk. Additionally, we validated this result using an independent measure of depressive symptoms based on the Behavior Assessment System for Children (BASC-2) scores. Similar to CDI, children with consistent lithium-magnesium dynamics during pregnancy were more likely to have lower BASC-2 depression scores (P<0.0001).[¤]CONCLUSIONS[|]These findings suggest that alteration in the dynamics of lithium-magnesium consistency may precede the emergence of late childhood depression by almost a decade, and quantitative biochemical measures of prenatal metal dynamics may distinguish children with high depression risk.[¤]
Details
- Title: Subtitle
- Consistency in metal dynamics during pregnancy predicts depression risk in late childhood
- Creators
- Vishal Midya - Icahn School of Medicine at Mount SinaiJamil M. Lane - Icahn School of Medicine at Mount SinaiShoshannah Eggers - University of IowaLibni A. Torres Olascoaga - Instituto Nacional de Salud PúblicaSandra Martínez - Instituto Nacional de Salud PúblicaChris Gennings - Icahn School of Medicine at Mount SinaiChristine Austin - Icahn School of Medicine at Mount SinaiMartha M. Téllez Rojo - Instituto Nacional de Salud PúblicaRobert O. Wright - Icahn School of Medicine at Mount SinaiManish Arora - Icahn School of Medicine at Mount Sinai
- Resource Type
- Abstract
- Publication Details
- Environmental health perspectives. Supplements, Vol.2024(1)
- DOI
- 10.1289/isee.2024.1401
- ISSN
- 1078-0475
- eISSN
- 2169-2181
- Language
- English
- Date published
- 08/15/2024
- Academic Unit
- Epidemiology; Injury Prevention Research Center
- Record Identifier
- 9984695459702771
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