Improved efficacy by using the pTnT-rhtTG plasmid for the detection of celiac disease specific tissue transglutaminase autoantibodies in radioligand binding assays

Abstract

Background: Tissue transglutaminase (tTG) autoantibodies are serological markers for celiac disease. The aim was to study the efficacy of the pTnT-rhtTG plasmid and subsequent diagnostic accuracy of tTG autoantibodies for childhood celiac disease using radioligand binding assays. Methods: Coupled in vitro transcription and translation of tTG were performed by pTnT-rhtTG as well as by the pGEMt Easy-rhtTG vectors using the TNT SP6 Coupled Reticulocyte Lysate System in the presence of [³⁵S] methionine. Sera from 190 celiac disease children and 74 controls were measured for tTG autoantibodies in two separate radioligand binding assays using anti-human IgA agarose and protein A sepharose beads for the detection of IgA-tTG and IgG-tTG, respectively. Results: Median incorporation of [³⁵S] methionine into the pTnT-rhtTG was 26% compared to 16% for the pGEMt Easy-rhtTG plasmid (p = 0.0016). Using pTnT-rhtTG (as compared to pGEMt Easy-rhtTG), sensitivities were IgA-tTG = 96.3% (95.7%) and IgG-tTG = 95.8% (97.3%) and specificities were IgA-tTG = 91.9% (90.5%) and IgG-tTG = 94.6% (98.4%). According to receiver operator characteristics for the pTnT (pGEMt Easy) assays, area under the curves were IgA-tTG = 98.4% (98.4%) and IgG-tTG = 97.7% (97.2%), respectively. Conclusion: The pTnT-rhtTG plasmid increased the efficacy of tTG antigen usage without reducing the diagnostic accuracy of IgA-tTG and IgG-tTG for childhood celiac disease. The pTnT-rhtTG plasmid is therefore recommended over the pGEMt Easy-rhtTG for the assessment of IgA-tTG and IgG-tTG using radioligand binding assays.

Key Words::

• Autoantibody
• celiac disease
• method optimisation
• radioligand binding assays
• tissue transglutaminase

Acknowledgements

The research study was in part supported by the Skåne Council Foundation for Research and Development, Swedish and Society for Celiac Diseases as well as by the EU 7th Framework Programme DIAPREPP, Diabetes type 1 Prediction, Early Pathogenesis and Prevention, grant agreement 202013.

We would also like to thank Charlotte Brundin for expert technical assistance.

Declaration of interest: The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.