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Cited by 70Treatment of Major DepressionMicroRNA in disease regulationTryptophan and brain disorders

MicroRNA-451a, microRNA-34a-5p, and microRNA-221-3p as predictors of response to antidepressant treatment

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Kuang, Wei-Hong, Dong, Zai-Quan, Tian, Lian-Tian, Li, Jin·2018·Brazilian Journal of Medical and Biological Research
DOI 10.1590/1414-431x20187212PMC PMC5972018
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Abstract

Aberrant expression of microRNAs (miRNAs) has been shown to be involved in early observations of depression. The aim of this study was to determine if serum levels of miRNA-451a, miRNA-34a-5p, and miRNA-221-3p can serve as indicators of disease progression or therapeutic efficacy in depression. We collected data from 84 depressed patients and 78 control volunteers recruited from the medical staff at the West China Hospital. Depression severity was rated using the 24-item Hamilton Depression Scale (HAMD). Serum miRNA-451a, miRNA-34a-5p, and miRNA-221-3p levels were determined in samples from the depressed patients before and 8 weeks after antidepressant treatment as well as in samples from controls. Compared with the controls, the patients had lower miRNA-451a levels, higher miRNA-34a-5p and miRNA-221-3p levels, and increased HAMD scores whether they underwent antidepressant treatment or not. Eight weeks after antidepressant treatment, the patients exhibited increased miRNA-451a levels, decreased miRNA-34a-5p and miRNA-221-3p levels, and reduced HAMD scores. The serum level of miRNA-451a was negatively correlated with HAMD scores of the patients, while the serum levels of miRNA-34a-5p and miRNA-221-3p were positively correlated with HAMD scores whether the patients underwent antidepressant treatment or not. Paroxetine was markedly effective in 50 patients who also displayed an increased level of miRNA-451a but reduced levels of miRNA-34a-5p and miRNA-221-3p. In contrast, paroxetine was moderately effective or ineffective in 34 patients. In conclusion, depressed patients had lower serum miRNA-451a but higher serum miRNA-34a-5p and miRNA-221-3p, and these miRNAs are potential predictors of the efficacy of antidepressants.

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Cited by

Sorted by citations

Authors
Kuang, W.-H., Dong, Z.-Q., Tian, L.-T., & Li, J.
Affiliations
  • Sichuan University, China
  • Sichuan University (CN)
Venue
Brazilian Journal of Medical and Biological Research
Publisher
FapUNIFESP (SciELO)
Published
2018
Volume
51
Issue
7
Pages
e7212-e7212
ISSN
  • 0100-879X (ISSN-L)
  • 1414-431X
DOI
10.1590/1414-431x20187212
PMC
PMC5972018
OpenAlex
W2804715066
Cited by
70
References
6
Citations by year
2026: 2 · 2025: 9 · 2024: 13 · 2023: 7 · 2022: 12 · 2021: 13 · 2020: 5 · 2019: 9
FWCI
4.36
Type
journal article
Language
en
Open access
Licence
Locations
  • Brazilian Journal of Medical and Biological Research (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (publishedVersion, other-oa)
  • Americanae (AECID Library) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
National Natural Science Foundation of China (81621003)
Topics
  • Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
  • Life Sciences › Neuroscience › Biological Psychiatry › Tryptophan and brain disorders
Keywords
depression, antidepressant response, serum biomarkers, paroxetine, treatment efficacy prediction, depression severity, Hamilton Depression Rating Scale
MeSH terms
Adult, Depression, Educational Status, Female, Humans, Male, Psychiatric Status Rating Scales, Biomarkers, Case-Control Studies, Treatment Outcome, Paroxetine, Antidepressive Agents, Second-Generation, Gene Expression Profiling, MicroRNAs, Suicidal Ideation, Real-Time Polymerase Chain Reaction

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