PTSD May Be Linked to Accelerated Aging - Summary - MDSpire

PTSD May Be Linked to Accelerated Aging

  • By

  • Andrea Surnit

  • July 1, 2026

  • 3 min

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Objective:

To investigate molecular changes associated with chronic posttraumatic stress disorder (PTSD) and their potential link to accelerated biological aging.

Approach:
  • Study Population: Analyzed plasma samples from 393 World Trade Center responders, including 232 PTSD patients and 161 trauma-exposed controls.
  • Methodology: Utilized the SomaScan platform to measure 9,404 protein analytes and performed targeted metabolomic profiling of 145 metabolites.
  • Primary Outcome: Identified differential protein and metabolite expression associated with PTSD.
  • Secondary Analyses: Evaluated integrated proteomic-metabolomic networks, enriched biological pathways, and organ-specific proteomic aging.
Key Findings:
  • 121 significantly altered protein analytes corresponding to 114 unique proteins and seven differentially expressed metabolites were identified.
  • Alterations in proteins NCAN, BCAN, NCAM1, and GDF15 were prominent.
  • Increased metabolites included lactate, glutamic acid, cystathionine, hydroxylysine, proline, and sphingomyelin, while serotonin levels decreased.
  • Molecular signatures were associated with alterations in energy metabolism, amino acid metabolism, oxidative stress, and neuronal signaling.
  • Accelerated biological aging was observed among PTSD patients, particularly in the pancreas and lungs.
Interpretation:

Chronic PTSD may be linked to coordinated redox-metabolic alterations and accelerated biological aging across multiple organ systems.

Limitations:
  • Cross-sectional design limits conclusions about causality or temporal relationships.
  • Study population was exclusively World Trade Center responders, limiting generalizability.
  • Plasma-based biomarkers may not fully reflect biological processes in specific organs or the brain.
  • Residual confounding could not be excluded.
Conclusion:

Longitudinal studies are needed to determine if these molecular signatures predict disease progression, treatment response, or long-term health outcomes.

Sources:

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