Literature DB >> 19995622

Diagnostic and prognostic biomarker discovery strategies for autoimmune disorders.

David S Gibson1, Joao Banha, Deborah Penque, Luciana Costa, Thomas P Conrads, Dolores J Cahill, John K O'Brien, Madeleine E Rooney.   

Abstract

Current clinical, laboratory or radiological parameters cannot accurately diagnose or predict disease outcomes in a range of autoimmune disorders. Biomarkers which can diagnose at an earlier time point, predict outcome or help guide therapeutic strategies in autoimmune diseases could improve clinical management of this broad group of debilitating disorders. Additionally, there is a growing need for a deeper understanding of multi-factorial autoimmune disorders. Proteomic platforms offering a multiplex approach are more likely to reflect the complexity of autoimmune disease processes. Findings from proteomic based studies of three distinct autoimmune diseases are presented and strategies compared. It is the authors' view that such approaches are likely to be fruitful in the movement of autoimmune disease treatment away from reactive decisions and towards a preventative stand point. Crown Copyright 2009. Published by Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19995622     DOI: 10.1016/j.jprot.2009.11.013

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  10 in total

1.  Identification of candidate IgG biomarkers for Alzheimer's disease via combinatorial library screening.

Authors:  M Muralidhar Reddy; Rosemary Wilson; Johnnie Wilson; Steven Connell; Anne Gocke; Linda Hynan; Dwight German; Thomas Kodadek
Journal:  Cell       Date:  2011-01-07       Impact factor: 41.582

2.  High affinity binding of conformationally constrained synthetic oligomers to an antigen-specific antibody: Discovery of a diagnostically useful synthetic ligand for murine Type 1 diabetes autoantibodies.

Authors:  Todd M Doran; Yu Gao; Scott Simanski; Patrick McEnaney; Thomas Kodadek
Journal:  Bioorg Med Chem Lett       Date:  2015-05-27       Impact factor: 2.823

Review 3.  Multiplex planar microarrays for disease prognosis, diagnosis and theranosis.

Authors:  Peter Lea
Journal:  World J Exp Med       Date:  2015-08-20

4.  Discovery of biomarkers for systemic lupus erythematosus using a library of synthetic autoantigen surrogates.

Authors:  Jiexia Quan; Akshai Lakhanpal; M Muralidhar Reddy; Sayed Zaman; Quan-Zhen Li; Dwight C German; Nancy J Olsen; Thomas Kodadek; David R Karp
Journal:  J Immunol Methods       Date:  2013-11-20       Impact factor: 2.303

5.  Musculoskeletal Findings in Behcet's Disease.

Authors:  Ali Bicer
Journal:  Patholog Res Int       Date:  2011-09-25

6.  Integrative Analysis of lncRNAs in Th17 Cell Lineage to Discover New Potential Biomarkers and Therapeutic Targets in Autoimmune Diseases.

Authors:  Shohreh Teimuri; Aref Hosseini; Ahmad Rezaenasab; Kamran Ghaedi; Elahe Ghoveud; Masoud Etemadifar; Mohammad Hossein Nasr-Esfahani; Timothy L Megraw
Journal:  Mol Ther Nucleic Acids       Date:  2018-07-11       Impact factor: 8.886

7.  Proteomic Data Analysis for Differential Profiling of the Autoimmune Diseases SLE, RA, SS, and ANCA-Associated Vasculitis.

Authors:  Mattias Ohlsson; Thomas Hellmark; Anders A Bengtsson; Elke Theander; Carl Turesson; Cecilia Klint; Christer Wingren; Anna Isinger Ekstrand
Journal:  J Proteome Res       Date:  2020-12-23       Impact factor: 4.466

8.  Proteomics-based identification of haptoglobin as a favourable serum biomarker for predicting long-term response to splenectomy in patients with primary immune thrombocytopenia.

Authors:  Chao-Xu Zheng; Zhuang-Qi Ji; Long-Juan Zhang; Qiong Wen; Liu-Hua Chen; Jun-Feng Yu; Dong Zheng
Journal:  J Transl Med       Date:  2012-10-07       Impact factor: 5.531

9.  Autoantibody profiling in multiple sclerosis using arrays of human protein fragments.

Authors:  Burcu Ayoglu; Anna Häggmark; Mohsen Khademi; Tomas Olsson; Mathias Uhlén; Jochen M Schwenk; Peter Nilsson
Journal:  Mol Cell Proteomics       Date:  2013-06-03       Impact factor: 5.911

Review 10.  Roadblocks for integration of novel biomarker concepts into clinical routine: the peptoid approach.

Authors:  Hugo Vanderstichele; Thomas Kodadek
Journal:  Alzheimers Res Ther       Date:  2014-04-30       Impact factor: 6.982

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.