A Simple Aptamer-Based Nanoconjugate Assay for Diagnosis of Chronic Myeloid Leukemia

Seyed Saeed Mousavi1, Hosein Ayatollahi2, Khalil Abnous3,4

  • 1Department of Hematology, School of Medical, Mashhad University of Medical Sciences, Mashhad, Iran.

Insights

This study presents a novel aptamer-based biosensor for early diagnosis of chronic myeloid leukemia (CML). The cost-effective aptasensor offers high sensitivity and rapid detection of K562 cells in blood samples.

Area of Science:

  • Biomedical Engineering
  • Nanotechnology
  • Hematology

Background:

  • Chronic myeloid leukemia (CML) is a bone marrow stem cell disease characterized by granulocyte proliferation.
  • Delayed diagnosis of CML leads to a blastic phase with a significantly reduced survival rate (3-6 months).
  • Early CML diagnosis is crucial for improving patient outcomes.

Purpose of the Study:

  • To develop a simple and effective aptamer-based biosensor (aptasensor) for the early diagnosis of K562 cells, a human immortalized myeloid leukemia cell line.
  • To demonstrate the aptasensor's capability for sensitive and rapid detection of CML in blood samples.

Main Methods:

  • Aptamer-based nanoconjugate developed using T2-KK1B10 aptamer strands on mesoporous silica nanoparticles (MSNPs).
  • MSNPs loaded with rhodamine B, coated with Ca2+ ions and ATP aptamer.
  • Nanoconjugate enters K562 cells, releasing rhodamine B due to intracellular ATP and low Ca2+ levels, increasing fluorescence.

Main Results:

  • The aptasensor showed strong fluorescence emission in K562 cells (CML cells) compared to MCF-7 cells.
  • Fluorescence microscopy and flow cytometry confirmed the selective detection of CML cells.
  • The aptasensor demonstrated high sensitivity, rapidness, and cost-effectiveness in blood samples.

Conclusions:

  • The developed aptasensor is a promising tool for the early diagnosis of chronic myeloid leukemia.
  • Its high sensitivity, speed, and cost-effectiveness make it suitable for clinical application.
  • This nanoconjugate-based approach offers a novel strategy for leukemia cell detection.

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