Literature DB >> 14726212

A pattern of protein expression in peripheral blood mononuclear cells distinguishes rheumatoid arthritis patients from healthy individuals.

Helmut Dotzlaw1, Martin Schulz, Martin Eggert, Gunther Neeck.   

Abstract

We compared the expression levels of proteins in peripheral blood mononuclear cells (PBMCs) of healthy control individuals to those of patients diagnosed with rheumatoid arthritis (RA) using a proteomics approach. Using two-dimensional electrophoresis we identified 18 proteins that were 2-fold or more highly expressed in patients than in controls, and 11 proteins that were 2-fold or more highly expressed in controls than in patients. Some of these differentially expressed proteins, identified by MALDI-TOF spectrometry, have previously been shown to play a potential role in the pathogenesis of RA. Hierarchical cluster analyses of the data segregated the samples into two groups, one which contained only controls and the other which contained only patients, and was used to compare the expression pattern of these 29 proteins in individual samples with the median expression pattern determined in the healthy control and in the RA patient groups. This analyses was able to predict whether a sample was derived from a rheumatoid arthritis patient or from a healthy individual, suggesting that a comparison of such protein expression patterns may be of diagnostic value.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 14726212     DOI: 10.1016/j.bbapap.2003.09.015

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  10 in total

1.  Monoclonal antibodies to discriminate the EF hand containing calcium binding adaptor proteins EFhd1 and EFhd2.

Authors:  Sebastian Brachs; Christiane Lang; Rolf Buslei; Pavitra Purohit; Barbara Fürnrohr; Hubert Kalbacher; Hans-Martin Jäck; Dirk Mielenz
Journal:  Monoclon Antib Immunodiagn Immunother       Date:  2013-08

2.  A towards-multidimensional screening approach to predict candidate genes of rheumatoid arthritis based on SNP, structural and functional annotations.

Authors:  Liangcai Zhang; Wan Li; Leilei Song; Lina Chen
Journal:  BMC Med Genomics       Date:  2010-08-20       Impact factor: 3.063

3.  Proteome signatures of inflammatory activated primary human peripheral blood mononuclear cells.

Authors:  Verena J Haudek-Prinz; Philip Klepeisz; Astrid Slany; Johannes Griss; Anastasia Meshcheryakova; Verena Paulitschke; Goran Mitulovic; Johannes Stöckl; Christopher Gerner
Journal:  J Proteomics       Date:  2012-07-16       Impact factor: 4.044

4.  Fraternal twins: Swiprosin-1/EFhd2 and Swiprosin-2/EFhd1, two homologous EF-hand containing calcium binding adaptor proteins with distinct functions.

Authors:  Sebastian Dütting; Sebastian Brachs; Dirk Mielenz
Journal:  Cell Commun Signal       Date:  2011-01-18       Impact factor: 5.712

5.  Determination of variation parameters as a crucial step in designing TMT-based clinical proteomics experiments.

Authors:  Evelyne Maes; Dirk Valkenborg; Geert Baggerman; Hanny Willems; Bart Landuyt; Liliane Schoofs; Inge Mertens
Journal:  PLoS One       Date:  2015-03-16       Impact factor: 3.240

Review 6.  Physiological and pathophysiological functions of Swiprosin-1/EFhd2 in the nervous system.

Authors:  Dirk Mielenz; Frank Gunn-Moore
Journal:  Biochem J       Date:  2016-08-15       Impact factor: 3.857

7.  The effects of pentoxifylline administration on NFΚB P50 transcription factor expression.

Authors:  Jamal Shamsara; Javad Behravan; Homa Falsoleiman; Amir Hooshang Mohammadpour; Mohammad Ramezani
Journal:  ARYA Atheroscler       Date:  2012

8.  The clinical potential of blood-proteomics in multiple sclerosis.

Authors:  Roberto De Masi; Sergio Pasca; Rocco Scarpello; Adele Idolo; Antonella De Donno
Journal:  BMC Neurol       Date:  2013-05-21       Impact factor: 2.474

9.  Interindividual variation in the proteome of human peripheral blood mononuclear cells.

Authors:  Evelyne Maes; Bart Landuyt; Inge Mertens; Liliane Schoofs
Journal:  PLoS One       Date:  2013-04-11       Impact factor: 3.240

Review 10.  Proteomics in Rheumatoid Arthritis Research.

Authors:  Yune-Jung Park; Min Kyung Chung; Daehee Hwang; Wan-Uk Kim
Journal:  Immune Netw       Date:  2015-08-26       Impact factor: 6.303

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.