Evaluating the Connection between MicroRNAs and Long Non-Coding RNAs for the Establishment of the Major Depressive

Cătălin Prodan-Bărbulescu1,2,3, Edward Paul Şeclăman1,4, Virgil Enătescu1,5

  • 1Faculty of Medicine, "Victor Babeş" University of Medicine and Pharmacy Timisoara, 2nd Eftimie Murgu Square, 300041 Timisoara, Romania.

Biomedicines
|March 28, 2024
PubMed

Insights

Major depressive disorder (MDD) diagnosis may be improved using microRNA and long non-coding RNA biomarkers. These non-coding RNAs in blood and tissue show significant variations in MDD patients, aiding diagnosis and treatment monitoring.

Area of Science:

  • Neuroscience
  • Molecular Biology
  • Genetics

Background:

  • Major depressive disorder (MDD) is a leading cause of global disability and suicide.
  • Current MDD diagnosis relies on subjective symptom reporting and clinical observation.
  • There is a critical need for objective and accurate diagnostic methods for MDD.

Purpose of the Study:

  • To investigate the potential of microRNA (miRNA) and long non-coding RNA (lncRNA) as biomarkers for MDD.
  • To explore the diagnostic and prognostic value of miRNA and lncRNA expression in peripheral blood and brain tissue.

Main Methods:

  • A comprehensive literature review was conducted using the PubMed database.
  • Studies examining miRNA and lncRNA expression in human and animal models of depression were included.
  • Expression levels in blood and brain tissue samples from MDD patients were analyzed.

Main Results:

  • Significant alterations in miRNA and lncRNA levels were observed in patients with MDD.
  • These non-coding RNAs demonstrate potential as diagnostic tools for MDD.
  • Expression patterns correlate with treatment outcomes and can guide therapy adjustments.

Conclusions:

  • MicroRNAs and long non-coding RNAs are promising biomarkers for MDD diagnosis.
  • These molecules can serve as tools for monitoring patient progress and disease progression during treatment.
  • Integrating miRNA and lncRNA analysis into diagnostic panels may enhance MDD management.

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