Associations between serum amino acids and genetic liability to depression in the LURIC cohort - Scorecard - MDSpire

Links Between Serum Amino Acid Levels and Genetic Predisposition to Depression in the LURIC Study

  • By

  • Robert M. Krämer

  • Graciela E. Delgado

  • Marcus E. Kleber

  • Daniel Duerschmied

  • Winfried März

  • Angela Patricia Moissl-Blanke

  • July 17, 2026

Share

Clinical Scorecard: Links Between Serum Amino Acid Levels and Genetic Predisposition to Depression in the LURIC Study

At a Glance

CategoryDetail
ConditionMajor Depression
Key MechanismsAlterations in amino acid metabolism, particularly within glutamatergic signaling and the tryptophan–kynurenine pathway.
Target PopulationPatients of German ancestry referred for elective coronary angiography.
Care SettingMonocentric, hospital-based cohort study.

Key Highlights

  • Major depression affects approximately 7.5% of men and 13.6% of women worldwide.
  • Cumulative lifetime risk of depression is 20.1% in men and 34.0% in women by age 75.
  • Circulating amino acids like glutamate and tryptophan are proposed as biomarkers for depression.
  • Findings on amino acid profiles in depression are inconsistent across studies.
  • Genetic depression risk scores (GDRS) are associated with all-cause and cardiovascular mortality.

Guideline-Based Recommendations

Diagnosis

  • Reliable biomarkers are needed to improve diagnostic classification in mood disorders.

Management

  • Monitoring of serum amino acid concentrations may support treatment response.

Monitoring & Follow-up

  • Amino acid profiles should be considered in the context of genetic predisposition.

Risks

  • Increased genetic liability to depression may correlate with altered amino acid metabolism.

Patient & Prescribing Data

Participants in the LURIC study, primarily with cardiovascular risk factors.

Amino acid concentrations may provide insights into metabolic correlates of genetic depression risk.

Clinical Best Practices

  • Consider genetic factors when assessing depression risk in patients.
  • Utilize serum amino acid profiling as a potential biomarker in depression research.

Related Resources & Content

Original Source(s)

Related Content