Multilayer network associations between the exposome and childhood brain development DOI Creative Commons
Ivan L. Simpson-Kent, Mārtiņš M. Gataviņš, Ursula A. Tooley

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 25, 2023

Abstract Growing up in a high poverty neighborhood is associated with elevated risk for academic challenges and health problems. Here, we take data-driven approach to exploring how measures of children’s environments relate the development their brain structure function community sample children between ages 4 10 years. We constructed exposomes including family socioeconomic status, exposure adversity, geocoded crime, environmental toxins. connected exposome two structural (cortical thickness surface area, n = 170) functional (participation coefficient clustering coefficient, 130). found dense connections within layers sparse layers. Lower income was thinner visual cortex, consistent theory that accelerated detectable early-developing regions. Greater incidence blood lead levels greater segregation default mode network, evidence toxins are deposited into along midline. Our study demonstrates utility multilayer network analysis bridge neural explanatory better understand complexity child development.

Language: Английский

Assessing the Impact and Cost-Effectiveness of Exposome Interventions on Alzheimer’s Disease: A Review of Agent-Based Modeling and Other Data Science Methods for Causal Inference DOI Open Access
Shelley H. Liu, Ellerie Weber, Katherine E. Manz

et al.

Genes, Journal Year: 2024, Volume and Issue: 15(11), P. 1457 - 1457

Published: Nov. 12, 2024

The exposome (e.g., totality of environmental exposures) and its role in Alzheimer's Disease Related Dementias (AD/ADRD) are increasingly critical areas study. However, little is known about how interventions on the exposome, including personal behavioral modification or policy-level interventions, may impact AD/ADRD disease burden at population level real-world settings cost-effectiveness interventions.

Language: Английский

Citations

0
The Exposome Paradigm: Applications in Psychopathology and Psychopharmacology DOI
Laura Fusar‐Poli, Sinan Gülöksüz

Published: Jan. 1, 2024

Language: Английский

Citations

0
Allostatic load in early adolescence: gene / environment contributions and relevance for mental health DOI Creative Commons
Kevin W. Hoffman, Kate T. Tran, Tyler M. Moore

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 28, 2023

Abstract Background Allostatic load is the cumulative “wear and tear” on body due to chronic adversity. We aimed test poly-environmental (exposomic) polygenic contributions allostatic their combined contribution early adolescent mental health. Methods analyzed data N = 5,035 diverse youth (mean age 12) from Adolescent Brain Cognitive Development Study (ABCD). Using dimensionality reduction method, we calculated overall score (AL) using mass index [BMI], waist circumference, blood pressure, glycemia, cholesterol, salivary DHEA. Childhood exposomic risk was quantified multi-level environmental exposures before 11. Genetic scores (PRS) for metabolic system susceptibility (type 2 diabetes [T2D]) stress-related psychiatric disease (major depressive disorder [MDD]). used linear mixed effects models main, additive, interactive of (independent variables) AL (dependent variable). Mediation tested mediating role pathway Models adjusted demographics genetic principal components. Results observed disparities in with non-Hispanic White having significantly lower compared Hispanic Non-Hispanic Black youth. In sample, childhood burden associated adolescence (beta=0.25, 95%CI 0.22-0.29, P<.001). European ancestry participants ( n =2,928), both T2D depression (T2D-PRS beta=0.11, 0.07-0.14, P<.001; MDD-PRS beta=0.05, 0.02-0.09, P=.003). Both showed significant interaction such that, greater risk, association between exposome stronger. partly mediated health MDD-PRS, fully T2D-PRS. Conclusions can be anthropometric biological measures mapped risk. Main support a diathesis-stress model. Findings suggest that considered when modeling conditions.

Language: Английский

Citations

1
Multilayer network associations between the exposome and childhood brain development DOI Creative Commons
Ivan L. Simpson-Kent, Mārtiņš M. Gataviņš, Ursula A. Tooley

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 25, 2023

Abstract Growing up in a high poverty neighborhood is associated with elevated risk for academic challenges and health problems. Here, we take data-driven approach to exploring how measures of children’s environments relate the development their brain structure function community sample children between ages 4 10 years. We constructed exposomes including family socioeconomic status, exposure adversity, geocoded crime, environmental toxins. connected exposome two structural (cortical thickness surface area, n = 170) functional (participation coefficient clustering coefficient, 130). found dense connections within layers sparse layers. Lower income was thinner visual cortex, consistent theory that accelerated detectable early-developing regions. Greater incidence blood lead levels greater segregation default mode network, evidence toxins are deposited into along midline. Our study demonstrates utility multilayer network analysis bridge neural explanatory better understand complexity child development.

Language: Английский

Citations

1