Relationship between serum BDNF levels and depressive mood in subacute stroke patients: A preliminary study

Research output: Contribution to journalArticlepeer-review

Abstract

The aim of this preliminary study was to investigate the potential of serum brain-derived neurotrophic factor (BDNF) as a biomarker in poststroke depressive mood in subacute stroke patients. Thirty-eight subacute stroke patients were recruited in this study. All participants underwent the standard rehabilitation program that included 2 h of physical therapy daily and 1 h of occupational therapy five days a week. The rehabilitation period lasted two weeks during the subacute stroke phase. We measured the serum BDNF, proBDNF, and matrix metalloproteinase-9 before and one and two weeks after the standard rehabilitation program. In addition, all participants were assessed using the Geriatric Depression Scale-Short Form (GDS-SF) for depressive mood at three time points. Pearson correlation analysis was performed to determine the relationship between serum BDNF levels and the GDS-SF. The GDS-SF showed significant improvement during the standard rehabilitation program period (p < 0.05). The GDS-SF was significantly correlated with serum BDNF levels at each time point (p < 0.05). These results suggest that serum BDNF may be used as a biomarker for depressive mood in subacute stroke patients. However, further studies with larger study populations are needed to clarify these results.

Original languageEnglish
Article number3131
JournalInternational Journal of Molecular Sciences
Volume19
Issue number10
DOIs
StatePublished - 12 Oct 2018
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • BDNF
  • Depression
  • Neurotrophic factor
  • Stroke

Fingerprint

Dive into the research topics of 'Relationship between serum BDNF levels and depressive mood in subacute stroke patients: A preliminary study'. Together they form a unique fingerprint.

Cite this