Association of Biomarkers with the Severity of Depression

Shruti Agnihotri1, Suresh Daripelly1, Shirley Keerthana Cherla1

  • 1Dept. of Psychiatry, Gandhi Medical College and Hospital, Secunderabad, Telangana, India.

Insights

Depression may be linked to systemic inflammation, high cortisol, and low magnesium. These markers, including C-reactive protein and neutrophil-lymphocyte ratio, correlate with depression severity, suggesting a biological basis.

Area of Science:

  • Neuroscience
  • Psychiatry
  • Immunology

Background:

  • The exact causes of depression are not fully understood.
  • Emerging research suggests a potential role for low-grade systemic inflammation in depression's development.
  • Serum magnesium and cortisol levels are also investigated as potential contributing factors.

Purpose of the Study:

  • To investigate the association between inflammatory markers, serum magnesium, serum cortisol, and the severity of depression.
  • To explore the potential biological underpinnings of depressive disorders.

Main Methods:

  • A cross-sectional study was conducted with 40 participants.
  • Data collected included socio-demographics and depression severity assessed by the Hamilton Depression Rating Scale (HAM-D).
  • Blood samples were analyzed for C-reactive protein (CRP), neutrophil-lymphocyte ratio (NLR), serum magnesium, and serum cortisol.

Main Results:

  • Participants exhibited elevated levels of CRP and NLR, indicating systemic inflammation.
  • Serum cortisol levels were higher, while serum magnesium levels were lower in the study group.
  • All measured markers (CRP, NLR, cortisol, and magnesium) showed significant correlations with depression severity (HAM-D scores).

Conclusions:

  • Depressive disorders are characterized by a state of systemic inflammation.
  • Hypercortisolemia (elevated cortisol) and hypomagnesemia (low magnesium) are observed in individuals with depression.
  • These findings highlight potential biomarkers and pathophysiological pathways involved in depression.
Abstract

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