Literature DB >> 25895652

Psoriatic arthritis under a proteomic spotlight: application of novel technologies to advance diagnosis and management.

Aisha Q Butt1, Angela McArdle, David S Gibson, Oliver FitzGerald, Stephen R Pennington.   

Abstract

Psoriatic arthritis is a form of inflammatory arthritis that is frequently associated with psoriasis. Individuals with this disease present with heterogeneous clinical manifestations, making it challenging to diagnose and select optimal treatment strategies. Perhaps, not unsurprisingly, there are currently no molecular diagnostic or prognostic tests to confirm if a patient has the disease or predict how they may respond to therapy. Instead, a range of classification criteria have been developed, and the experience of the treating clinician is heavily relied upon. It is therefore widely accepted that there is a significant and as yet unmet need for effective molecular markers in psoriatic arthritis. Protein mediators drive disease pathogenesis and, therefore, represent logical potential biomarkers. Indeed, significant advances have recently been made by the introduction of multiplexed protein biomarker tests for monitoring disease activity in rheumatoid arthritis. At the same time, recent advances in proteomics have enhanced the capabilities for the detection and discovery of protein biomarkers. These advances offer renewed opportunities for the development of multi-protein biomarker signatures to support clinical decision-making in the diagnosis, prognosis and treatment of psoriatic arthritis. This review summarises the pathogenesis of psoriatic arthritis, highlighting specific areas of unmet clinical need. Furthermore, it seeks to illustrate how the latest developments in proteomic technologies could be used to enhance our understanding of the molecular pathology of psoriatic arthritis and improve clinical outcomes and quality of life for patients.

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Year:  2015        PMID: 25895652     DOI: 10.1007/s11926-015-0509-0

Source DB:  PubMed          Journal:  Curr Rheumatol Rep        ISSN: 1523-3774            Impact factor:   4.592


  125 in total

1.  Open mass spectrometry search algorithm.

Authors:  Lewis Y Geer; Sanford P Markey; Jeffrey A Kowalak; Lukas Wagner; Ming Xu; Dawn M Maynard; Xiaoyu Yang; Wenyao Shi; Stephen H Bryant
Journal:  J Proteome Res       Date:  2004 Sep-Oct       Impact factor: 4.466

Review 2.  Shotgun proteomics using the iTRAQ isobaric tags.

Authors:  Kunal Aggarwal; Leila H Choe; Kelvin H Lee
Journal:  Brief Funct Genomic Proteomic       Date:  2006-05-10

3.  Protein interaction screening by quantitative immunoprecipitation combined with knockdown (QUICK).

Authors:  Matthias Selbach; Matthias Mann
Journal:  Nat Methods       Date:  2006-10-29       Impact factor: 28.547

4.  Mass spectrometric characterization of the affinity-purified human 26S proteasome complex.

Authors:  Xiaorong Wang; Chi-Fen Chen; Peter R Baker; Phang-lang Chen; Peter Kaiser; Lan Huang
Journal:  Biochemistry       Date:  2007-02-27       Impact factor: 3.162

Review 5.  The genetics of psoriatic arthritis: lessons from genome-wide association studies.

Authors:  John Bowes; Anne Barton
Journal:  Discov Med       Date:  2010-09       Impact factor: 2.970

Review 6.  Pathogenetic and clinical rationale for TNF-blocking therapy in psoriatic arthritis.

Authors:  Leonardo Punzi; Marta Podswiadek; Paolo Sfriso; Francesca Oliviero; Ugo Fiocco; Silvano Todesco
Journal:  Autoimmun Rev       Date:  2007-01-08       Impact factor: 9.754

7.  Accurate quantification of cardiovascular biomarkers in serum using Protein Standard Absolute Quantification (PSAQ™) and selected reaction monitoring.

Authors:  Céline Huillet; Annie Adrait; Dorothée Lebert; Guillaume Picard; Mathieu Trauchessec; Mathilde Louwagie; Alain Dupuis; Luc Hittinger; Bijan Ghaleh; Philippe Le Corvoisier; Michel Jaquinod; Jérôme Garin; Christophe Bruley; Virginie Brun
Journal:  Mol Cell Proteomics       Date:  2011-11-11       Impact factor: 5.911

8.  Development of a pharmaceutical hepatotoxicity biomarker panel using a discovery to targeted proteomics approach.

Authors:  Ben C Collins; Christine A Miller; Alexandra Sposny; Phillip Hewitt; Martin Wells; William M Gallagher; Stephen R Pennington
Journal:  Mol Cell Proteomics       Date:  2012-04-23       Impact factor: 5.911

9.  High sensitivity detection of plasma proteins by multiple reaction monitoring of N-glycosites.

Authors:  Jianru Stahl-Zeng; Vinzenz Lange; Reto Ossola; Katrin Eckhardt; Wilhelm Krek; Ruedi Aebersold; Bruno Domon
Journal:  Mol Cell Proteomics       Date:  2007-07-20       Impact factor: 5.911

10.  Differential proteomic analysis of synovial fluid from rheumatoid arthritis and osteoarthritis patients.

Authors:  Lavanya Balakrishnan; Mitali Bhattacharjee; Sartaj Ahmad; Raja Sekhar Nirujogi; Santosh Renuse; Yashwanth Subbannayya; Arivusudar Marimuthu; Srinivas M Srikanth; Rajesh Raju; Mukesh Dhillon; Navjyot Kaur; Ramesh Jois; Vivek Vasudev; Yl Ramachandra; Nandini A Sahasrabuddhe; Ts Keshava Prasad; Sujatha Mohan; Harsha Gowda; Subramanian Shankar; Akhilesh Pandey
Journal:  Clin Proteomics       Date:  2014-01-06       Impact factor: 3.988

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  4 in total

Review 1.  Molecular Biology Approaches to Understanding Spondyloarthritis.

Authors:  Adam Berlinberg; Kristine A Kuhn
Journal:  Rheum Dis Clin North Am       Date:  2020-05       Impact factor: 2.670

Review 2.  Clinical Features of Psoriatic Arthritis: a Comprehensive Review of Unmet Clinical Needs.

Authors:  Angela McArdle; Stephen Pennington; Oliver FitzGerald
Journal:  Clin Rev Allergy Immunol       Date:  2018-12       Impact factor: 8.667

3.  Urinary proteomics can define distinct diagnostic inflammatory arthritis subgroups.

Authors:  Stefan Siebert; Duncan Porter; Caron Paterson; Rosie Hampson; Daniel Gaya; Agnieszka Latosinska; Harald Mischak; Joost Schanstra; William Mullen; Iain McInnes
Journal:  Sci Rep       Date:  2017-01-16       Impact factor: 4.379

Review 4.  Diagnosis and Intervention in Early Psoriatic Arthritis.

Authors:  Tomoyuki Hioki; Mayumi Komine; Mamitaro Ohtsuki
Journal:  J Clin Med       Date:  2022-04-06       Impact factor: 4.241

  4 in total

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