Identification of lncRNA in circulating exosomes as potential biomarkers for MCI among the elderly

Jian Gao1, Peiliang Chen1, Zhihao Li1

  • 1Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong 510515, China.

PubMed
Abstract

Insights

Plasma exosomal long non-coding RNAs (lncRNAs) show abnormal expression in mild cognitive impairment (MCI). These lncRNAs, including LINC001380, may serve as novel biomarkers for early MCI diagnosis and prevention.

Area of Science:

  • Biomarkers for neurological disorders
  • Exosomal non-coding RNAs in disease
  • Molecular mechanisms of cognitive impairment

Background:

  • Abnormal long non-coding RNA (lncRNA) expression is observed in elderly patients with mild cognitive impairment (MCI).
  • Exosomes are capable of carrying non-coding RNAs, suggesting their potential as stable biomarkers.
  • Plasma exosomal lncRNAs offer a reliable basis for identifying MCI biomarkers.

Purpose of the Study:

  • To investigate the expression profiles of plasma exosomal lncRNAs and mRNAs in elderly individuals with MCI.
  • To identify specific exosomal lncRNAs as potential biomarkers for the early diagnosis of MCI.
  • To construct predictive models for MCI using identified exosomal lncRNAs.

Main Methods:

  • Case-control study involving 155 MCI patients and 155 healthy controls (aged ≥60 years).
  • Analysis of plasma exosomal lncRNA and mRNA expression using high-throughput RNA sequencing and qRT-PCR.
  • Pathway enrichment analysis, multivariate logistic regression, and receiver operating characteristic (ROC) curve analysis for biomarker screening and validation.

Main Results:

  • Significant differential expression of 132 lncRNAs and 459 mRNAs in plasma exosomes of MCI patients compared to controls.
  • LINC001380, ENST00000484033, and ENST00000531087 identified as candidate exosomal lncRNAs for MCI prediction.
  • Combined ROC analysis showed an AUC of 70.0% for predicting MCI using these lncRNAs; external validation yielded AUC of 69.5% for ATP2A2 and PSEN1.

Conclusions:

  • Plasma exosomal lncRNAs exhibit specific expression patterns in MCI, suggesting underlying biological mechanisms.
  • Combined detection of LINC001380, ENST00000484033, and ENST00000531087 in plasma exosomes shows potential for early MCI diagnosis.
  • These findings support the use of exosomal lncRNAs as promising biomarkers for early detection and prevention of cognitive impairment.