Celiac disease detection using a transglutaminase electrochemical immunosensor fabricated on nanohybrid

Marta M P S Neves1, María Begoña González-García, Henri P A Nouws

  • 1Faculdade de Farmácia da Universidade do Porto, Rua Aníbal Cunha 164, 4099-030 Porto, Portugal.

Insights

A new electrochemical immunosensor detects celiac disease biomarkers (anti-tTG autoantibodies) in patient samples. This rapid screening tool offers a reliable alternative for diagnosing gluten-induced enteropathy.

Area of Science:

  • Biomedical Engineering
  • Analytical Chemistry
  • Immunology

Background:

  • Celiac disease is an autoimmune disorder triggered by gluten ingestion.
  • Diagnosis relies on detecting autoantibodies against tissue transglutaminase (tTG).
  • Current diagnostic methods can be time-consuming or require specialized equipment.

Purpose of the Study:

  • To develop a disposable electrochemical immunosensor for detecting IgA and IgG anti-tTG autoantibodies.
  • To evaluate the sensor's performance in real patient samples.
  • To establish a reliable and accessible screening tool for celiac disease.

Main Methods:

  • Utilized screen-printed carbon electrodes (SPCE) nanostructured with carbon nanotubes and gold nanoparticles.
  • Immobilized tTG onto the nanostructured electrode surface.
  • Employed an alkaline phosphatase (AP) labeled antibody for electrochemical detection via cyclic voltammetry, measuring enzymatically generated silver.

Main Results:

  • The developed electrochemical immunosensor successfully detected IgA and IgG anti-tTG autoantibodies.
  • Nanostructured transducer enhanced immunological interaction and signal amplification.
  • Results showed strong correlation with a commercial ELISA kit, confirming reliability.

Conclusions:

  • The disposable electrochemical immunosensor is a trustworthy analytical tool for celiac disease screening.
  • This sensor offers a sensitive and efficient method for detecting key celiac disease biomarkers.
  • The technology holds potential for point-of-care diagnostics and improved patient management.