Literature DB >> 30342033

Synthetic Neoepitopes of the Transglutaminase-Deamidated Gliadin Complex as Biomarkers for Diagnosing and Monitoring Celiac Disease.

Rok Seon Choung1, Shahryar Khaleghi Rostamkolaei1, Josephine M Ju1, Eric V Marietta1, Carol T Van Dyke1, J J Rajasekaran2, Vasanth Jayaraman2, Tianhao Wang2, Kang Bei2, Karenah E Rajasekaran2, Karthik Krishna2, Hari Krishnan Krishnamurthy2, Joseph A Murray3.   

Abstract

BACKGROUND & AIMS: Celiac disease (CeD) has characteristics of an autoimmune disease, such as increased antibody levels to tissue transglutaminase (tTG). However, assays to measure these biomarkers in blood samples do not identify patients with sufficient accuracy for diagnosis or monitoring of CeD. We aimed to discover biomarkers of CeD derived from neoepitopes of deamidated gliadin peptides (DGP) and tTG fragments and to determine if immune reactivity against these epitopes can identify patients with CeD with mucosal healing.
METHODS: We analyzed serum samples from 90 patients with biopsy-proven CeD and 79 healthy individuals (controls) for immune reactivity against the tTG-DGP complex (discovery cohort). A fluorescent peptide microarray platform was used to estimate the antibody-binding intensity of each synthesized tTG-DGP epitope. We validated our findings in 82 patients with newly diagnosed CeD and 217 controls. We tested the ability of our peptide panel to identify patients with mucosal healing (based on the histologic analysis) using serum samples from patients with treated and healed CeD (n = 85), patients with treated but unhealed CeD (n = 81; villous atrophy despite a adhering a gluten-free diet), patients with untreated CeD (n = 82) and disease controls (n = 27), villous atrophy without CeD), and healthy controls (n = 217). Data were analyzed using principal component analysis followed by machine learning and support vector machine modeling.
RESULTS: We identified 172 immunogenic epitopes of the tTG-DGP complex. We found significantly increased immune reactivity against these epitopes vs controls. In the both cohort, the set of neoepitopes derived from the tTG-DGP complex identified patients with CeD with 99% sensitivity and 100% specificity. Serum samples from patients with untreated CeD had the greatest mean antibody-binding intensity against the tTG-DGP complex (32.5 ± 16.4). The average antibody-binding intensity was significantly higher in serum from patients with treated but unhealed CeD mucosa (15.1 ± 7.5) than in patients with treated and healed CeD mucosa (5.5 ± 3.4) (P < .001). The assay identified patients with mucosa healing status with 84% sensitivity and 95% specificity.
CONCLUSIONS: We identified immunogenic epitopes of the tTG-DGP complex, and found that an assay to measure the immune response to epitopes accurately identified patients with CeD, as well as patients with mucosal healing. This biomarker assay might be used in detection and monitoring of patients with CeD.
Copyright © 2019 AGA Institute. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Diagnostic; Follow-up; Noninvasive Marker; Response to Treatment

Mesh:

Substances:

Year:  2018        PMID: 30342033     DOI: 10.1053/j.gastro.2018.10.025

Source DB:  PubMed          Journal:  Gastroenterology        ISSN: 0016-5085            Impact factor:   22.682


  9 in total

Review 1.  A systematic review of the applications of artificial intelligence and machine learning in autoimmune diseases.

Authors:  I S Stafford; M Kellermann; E Mossotto; R M Beattie; B D MacArthur; S Ennis
Journal:  NPJ Digit Med       Date:  2020-03-09

Review 2.  The global burden of coeliac disease: opportunities and challenges.

Authors:  Govind K Makharia; Prashant Singh; Carlo Catassi; David S Sanders; Daniel Leffler; Raja Affendi Raja Ali; Julio C Bai
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2022-01-03       Impact factor: 46.802

Review 3.  Emerging Biomarkers for Screening and Management of Celiac Disease.

Authors:  Bilal Ahmad Mir; Tahir Majeed; Alka Singh; Mahendra Singh Rajput; Asheesh Kumar; Ashish Chauhan
Journal:  Biomed Res Int       Date:  2022-05-28       Impact factor: 3.246

Review 4.  Celiac disease: a comprehensive current review.

Authors:  Giacomo Caio; Umberto Volta; Anna Sapone; Daniel A Leffler; Roberto De Giorgio; Carlo Catassi; Alessio Fasano
Journal:  BMC Med       Date:  2019-07-23       Impact factor: 8.775

Review 5.  Clinical Applications of Artificial Intelligence-An Updated Overview.

Authors:  Ștefan Busnatu; Adelina-Gabriela Niculescu; Alexandra Bolocan; George E D Petrescu; Dan Nicolae Păduraru; Iulian Năstasă; Mircea Lupușoru; Marius Geantă; Octavian Andronic; Alexandru Mihai Grumezescu; Henrique Martins
Journal:  J Clin Med       Date:  2022-04-18       Impact factor: 4.964

Review 6.  Type 2 Transglutaminase in Coeliac Disease: A Key Player in Pathogenesis, Diagnosis and Therapy.

Authors:  Gaetana Paolella; Silvia Sposito; Antonio Massimiliano Romanelli; Ivana Caputo
Journal:  Int J Mol Sci       Date:  2022-07-06       Impact factor: 6.208

7.  Non-invasive prediction of persistent villous atrophy in celiac disease.

Authors:  Barbora Packova; Petra Kovalcikova; Zdenek Pavlovsky; Daniel Bartusek; Jitka Prokesova; Jiri Dolina; Radek Kroupa
Journal:  World J Gastroenterol       Date:  2020-07-14       Impact factor: 5.742

Review 8.  A systematic review of the applications of artificial intelligence and machine learning in autoimmune diseases.

Authors:  I S Stafford; M Kellermann; E Mossotto; R M Beattie; B D MacArthur; S Ennis
Journal:  NPJ Digit Med       Date:  2020-03-09

9.  An ultra-high-density protein microarray for high throughput single-tier serological detection of Lyme disease.

Authors:  Vasanth Jayaraman; Karthik Krishna; Yuanyuan Yang; Karenah J Rajasekaran; Yuzheng Ou; Tianhao Wang; Kang Bei; Hari Krishnan Krishnamurthy; John J Rajasekaran; Alex J Rai; Daniel A Green
Journal:  Sci Rep       Date:  2020-10-22       Impact factor: 4.379

  9 in total

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