microRNA blood signature for localized radiation injury

Lucie Ancel1, Olivier Gabillot1, Chloé Szurewsky1

  • 1Radiobiology and Regenerative Medicine Research Service, Radiobiology of Accidental Exposure Laboratory, IRSN PSE-SANTE/SERAMED/LRAcc, 31 av de la Division Leclerc, 92260, Fontenay-aux-Roses, France.

Scientific Reports
|February 1, 2024
PubMed

Insights

Researchers identified a signature of eight circulating microRNAs (miRNAs) in mice that can diagnose local radiation injury (LRI) severity. This discovery offers potential for early LRI diagnosis and prognosis using blood-based biomarkers.

Area of Science:

  • Radiation Oncology
  • Molecular Biology
  • Biomarker Discovery

Background:

  • Radiological accidents can cause severe local radiation injury (LRI) affecting skin and underlying tissues.
  • Early diagnosis of LRI is critical for effective victim management.
  • Circulating microRNAs (miRNAs) show promise as biomarkers for radiation-induced hematological defects.

Purpose of the Study:

  • To identify a blood miRNA signature for diagnosing local radiation injury (LRI) severity.
  • To investigate circulating miRNAs as potential biomarkers for LRI in a preclinical mouse model.

Main Methods:

  • Utilized a hindlimb irradiation mouse model with varying X-ray doses to induce LRI.
  • Performed broad-spectrum plasma miRNA profiling followed by targeted validation in two independent cohorts.
  • Employed multivariate sparse partial least square discriminant analysis to identify a miRNA signature.

Main Results:

  • Identified a panel of eight circulating miRNAs capable of distinguishing LRI severity in mice.
  • The identified miRNAs are associated with whole-body irradiation, inflammation, and skin diseases.
  • The miRNA signature effectively segregated mice based on the severity of induced local radiation injury.

Conclusions:

  • Circulating miRNAs can serve as effective molecular biomarkers for the prognosis and diagnosis of local radiation injury.
  • The identified eight-miRNA signature holds potential for early LRI detection and patient stratification.
  • This study supports the development of non-invasive diagnostic tools for radiation-related injuries.