Literature DB >> 31280934

Biomarkers in IgG4-related disease: A systematic review.

Jungen Tang1, Shaozhe Cai1, Cong Ye2, Lingli Dong3.   

Abstract

OBJECTIVE: ImmunoglobulinG4-related disease (IgG4-RD) is a recently recognized disease and, as such, there is a pressing need to identify biomarkers for diagnosis, monitoring disease activity, and predicting prognosis and response to therapy. Here, we review the recent development and identification of biomarkers for IgG4-RD.
METHODS: Through extensive literature review and analysis, we updated the biomarkers for IgG4-RD and further put forward our own viewpoints.
RESULTS: In addition to traditional biomarkers, such as serum IgG4 concentration and typical histological characteristics, several novel indicators, including IgG2, serum soluble IL-2 receptor (sIL2R), and cc-chemokine ligand 18 (CCL18), indicate inflammation and fibrosis and can be used to accurately diagnose and predict treatment response. Studies to identify target autoantigens in IgG4-RD have shed light on the unmet need for biomarkers that can identify this disorder. Additionally, both serological and histopathologic immune cells involved in antigen-induced responses, innate immune cells (macrophages, mast cells, and the I-IFN/ IL-33 pathway), as well as subsequent acquired immune cells (T and B cell subsets), may also serve as new biomarkers for IgG4-RD. Since IgG4-RD often clinically manifests with multiple organs involvement, non-invasive PET-CT can improve diagnosis and antidiastole levels.
CONCLUSION: These novel biomarkers provide information to help diagnose IgG4-RD, monitor disease activity, as well as predict prognosis and response to therapy.
Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biomarker; Diagnosis; Disease activity; IgG4-RD; Prognosis; Treatment

Mesh:

Substances:

Year:  2019        PMID: 31280934     DOI: 10.1016/j.semarthrit.2019.06.018

Source DB:  PubMed          Journal:  Semin Arthritis Rheum        ISSN: 0049-0172            Impact factor:   5.532


  8 in total

Review 1.  Vasculitis beyond aortitis in IgG4-related disease (IgG4-RD): case report and review of the literature.

Authors:  George E Fragoulis; Gerasimos Evangelatos; Maria G Tektonidou
Journal:  Clin Rheumatol       Date:  2020-07-24       Impact factor: 2.980

2.  [Immunoglobulin G (IgG) 4-related diseases].

Authors:  Thea Thiele; Torsten Witte
Journal:  Z Rheumatol       Date:  2021-12-01       Impact factor: 1.372

Review 3.  T Cell Roles and Activity in Chronic Sclerosing Sialadenitis as IgG4-Related Disease: Current Concepts in Immunopathogenesis.

Authors:  Hazim Mahmoud Ibrahem
Journal:  Autoimmune Dis       Date:  2022-06-20

4.  Experience of therapeutic plasma exchange in rheumatic diseases: Albumin may be a suitable substitute for plasma.

Authors:  Zhiqian Bai; Yu Chen; Lingli Dong
Journal:  Arch Rheumatol       Date:  2021-03-16       Impact factor: 1.472

Review 5.  The Role of IgG4 in Autoimmunity and Rheumatic Diseases.

Authors:  Maria Maslinska; Joanna Dmowska-Chalaba; Michal Jakubaszek
Journal:  Front Immunol       Date:  2022-01-25       Impact factor: 7.561

6.  Optimization of peripheral blood volume for in silico reconstitution of the human B-cell receptor repertoire.

Authors:  Hyunho Lee; Duck Kyun Yoo; Jerome Han; Ki Hyun Kim; Jinsung Noh; Yonghee Lee; Eunjae Lee; Sunghoon Kwon; Junho Chung
Journal:  FEBS Open Bio       Date:  2022-08-09       Impact factor: 2.792

7.  Biomarkers in autoimmune pancreatitis and immunoglobulin G4-related disease.

Authors:  Akane Hara; Tomohiro Watanabe; Kosuke Minaga; Tomoe Yoshikawa; Ken Kamata; Masatoshi Kudo
Journal:  World J Gastroenterol       Date:  2021-05-21       Impact factor: 5.742

8.  Identification of serum IFN-α and IL-33 as novel biomarkers for type 1 autoimmune pancreatitis and IgG4-related disease.

Authors:  Kosuke Minaga; Tomohiro Watanabe; Akane Hara; Ken Kamata; Shunsuke Omoto; Atsushi Nakai; Yasuo Otsuka; Ikue Sekai; Tomoe Yoshikawa; Kentaro Yamao; Mamoru Takenaka; Yasutaka Chiba; Masatoshi Kudo
Journal:  Sci Rep       Date:  2020-09-16       Impact factor: 4.379

  8 in total

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