Literature DB >> 26766035

Clinical predictor and circulating microRNA profile expression in patients with early onset post-stroke depression.

Yu Zhang1, Lin Cheng1, Yajing Chen1, Guo-Yuan Yang1, Jianrong Liu2, Lili Zeng3.   

Abstract

OBJECTIVE: We aim to explore the clinical factors and blood biomarker for predicting the early-onset post-stroke depression (PSD).
METHODS: 251 acute ischemic stroke patients were divided into PSD group and non-PSD group by Hamilton depression scale in 2 weeks after stroke. The clinical data, the severity, etiology and location of stroke were recorded. The analysis of inflammatory mediator, glycose and lipid metabolism was performed on the day of admission. The association between clinical factors and early onset PSD was studied by logistic regression analysis. In addition, the differentially expressed miRNAs in plasma between the two groups were screened by gene chip and the bio-information was further investigated by GO and KEEG analysis.
RESULTS: Among 251 patients, 45 (17.93%) were diagnosed as early onset PSD. NIHSS score (>3) and carotid stenosis were independent relative factors with early-onset PSD (OR 3.479 and 2.617, p=0.000 and 0.009, respectively). Moreover, lower LDL trended toward association with early onset PSD in minor stroke subgroup (p=0.084). MiRNA profile demonstrated 25 differential expressed circulating miRNAs with FC≥2 and P≤0.05 between the two groups. The target genes of these miRNAs were enriched in pathways of cancer and MAPK signaling. LIMITATIONS: The sample of the study was small. The results should be further confirmed in large cohort patients.
CONCLUSIONS: Early onset PSD was more likely in patients with severe neurological deficits and carotid artery stenosis, also note the possible association between lower LDL and depression in minor stroke. Blood miRNAs may be served as a potential biomarker for PSD diagnosis.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomarker; Early onset; LDL; MicroRNA; Post-stroke depression

Mesh:

Substances:

Year:  2016        PMID: 26766035     DOI: 10.1016/j.jad.2015.12.061

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


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