Serum uric acid a depression biomarker

PLoS One. 2020 Mar 4;15(3):e0229626. doi: 10.1371/journal.pone.0229626. eCollection 2020.

Abstract

Objective: We aimed to investigate the difference in serum uric acid(SUA)levels between subtypes of depression and normal population, and whether SUA can be used to identify bipolar disorder depressive episode and major depressive disorder and predict the length of hospital stay.

Methods: 1543 depression patients and 1515 healthy controls were obtained according to the entry and exclusion criteria from one mental health center of a tertiary hospital in southwestern China. The diagnosis and classification of depression was in accordance with ICD-10. The SUA value was derived from fasting plasma samples analysis. The level of SUA of all the participants was quantified using Roche cobas8000-c702-MSB automatic biochemical analyzer. Data were analyzed by SPSS18.0 statistical software package.

Results: Overall, the level of SUA in patients with depression was lower than that in normal control. Specifically, males' SUA levels were in the interval of [240, 323.3) and [323.3, 406.6), and women were in the [160, 233.3] levels. The SUA level of bipolar disorder depressive episode was higher compared to major depressive disorder level. Interestingly, male patients who were hospitalized for two weeks had higher SUA than those who were hospitalized for three weeks or four weeks.

Conclusions: Our results suggest that the length of hospital stay may be associated with SUA, and when it is difficult to make a differential diagnosis of bipolar disorder depressive episode and major depressive disorder, the level of SUA may be considered. The adjustment of SUA as a method for treating depression needs to be carefully assessed.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Biomarkers / blood
  • Bipolar Disorder / blood
  • Case-Control Studies
  • China
  • Depression / blood*
  • Depression / classification
  • Depressive Disorder, Major / blood
  • Female
  • Humans
  • Length of Stay
  • Male
  • Middle Aged
  • Sex Characteristics
  • Uric Acid / blood*
  • Young Adult

Substances

  • Biomarkers
  • Uric Acid

Grants and funding

Financial support for this research was from Ministry of Science and Technology of People’s Republic of China (National key research and development plan). Name of the project is study on the precise diagnosis and treatment model of schizophrenia based on multi-omics map, and the item number is 2016YFC0904300. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.