Maltreatment exposure is associated with metabolomic disease risk scores in children

Sonja Entringer1, Malvika Godara2, Ferdinand Hoffmann2

  • 1Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Psychology, Berlin, Germany; Development, Health, and Disease Research Program, University of California, Irvine, Orange, CA, USA; German Center for Mental Health, Berlin, Germany.

PubMed

Insights

Childhood maltreatment exposure is linked to higher metabolomics-based risk scores for adult cardio-metabolic diseases and mortality. These metabolite profiling tools may aid early risk prediction and interventions.

Area of Science:

  • Pediatric Health
  • Metabolomics
  • Public Health

Background:

  • Childhood maltreatment is prevalent and a significant risk factor for adult cardio-metabolic disorders and premature mortality.
  • Metabolomics offers a way to detect early biochemical changes, aiding in understanding disease pathophysiology and predicting risk.

Purpose of the Study:

  • To investigate the association between childhood maltreatment exposure and metabolomics-based risk scores for cardio-metabolic diseases and mortality in children.
  • To explore the potential of metabolomics for early risk stratification and intervention in children exposed to maltreatment.

Main Methods:

  • Assessed maltreatment exposure using the Maternal Interview for the Classification of Maltreatment (MICM).
  • Analyzed plasma samples from 144 children with maltreatment exposure and 165 controls (mean age 8.04 years) using metabolomics assays.
  • Computed metabolomics-based risk scores (Diabetes, MetaboAge, MetaboHealth) for cardio-metabolic diseases and mortality.

Main Results:

  • Childhood maltreatment exposure was significantly and positively associated with all three metabolomics-based risk scores (Diabetes, MetaboAge, MetaboHealth).
  • Associations remained significant after adjusting for sex and age.

Conclusions:

  • Metabolomics-based risk scores show promise in identifying children at higher risk for future cardio-metabolic diseases and mortality due to maltreatment exposure.
  • These findings suggest metabolomics can guide early precision interventions to prevent or reverse adverse biological risk trajectories before disease onset.