Exploring the association between depression and telomere length: A systematic review and meta-analysis

Area of Science:

• Biomedical Science
• Genetics
• Psychiatry

Background:

• Telomere length is a biomarker for cellular aging.
• Telomere length has been linked to psychiatric disorders, including depression.
• Previous studies on depression and telomere length show inconsistent results.

Purpose of the Study:

• To systematically review and evaluate the correlation between depression and telomere length.
• To examine moderators influencing the depression-telomere length association, such as age, gender, and assessment methods.
• To synthesize current literature for a comprehensive understanding of this relationship.

Main Methods:

• Systematic literature search across PubMed, Embase, PsycINFO, and Google Scholar.
• Inclusion of studies measuring telomere length in individuals with Major Depressive Disorder (MDD).
• Meta-analysis using a random effects model with standardized mean differences to assess the association and heterogeneity.

Main Results:

• A significant association was found between depression and shorter telomere length (Cohen's d = -0.354, p < 0.0001).
• Subgroup analyses revealed significant influences of depression assessment tools, measurement scales, telomere measurement techniques, source tissue, and comorbidities.
• Multivariable meta-regression indicated age, depression measurement technique, and telomere measurement technique significantly impacted the association.

Conclusions:

• The relationship between depression and telomere length is complex and influenced by various factors.
• Considering moderators like age and methodology is crucial for interpreting study outcomes.
• Further research is needed to explore causality and the bidirectional link between depression severity and telomere shortening.