A multilectin affinity approach for comparative glycoprotein profiling of rheumatoid arthritis and spondyloarthropathy

Clinical Proteomics

Akhilesh Pandey³  Bipin Nair^1,7  Jayshree Advani²  Sneha M Pinto⁹  Ramesh Jois⁸  Subramanian Shankar^1,10  Renu Goel¹¹  Lavanya Balakrishnan¹¹  Nirujogi Raja Sekhar¹  Renu Verma²  Santosh Renuse⁵  T S Keshava Prasad⁶  H C Harsha²  Rakesh Sharma⁴  Shantal Tankala Gupta^1,10  Mitali Bhattacharjee⁵ 

[1] Institute of Bioinformatics, International Technology Park, Bangalore, IndiaCentre of Excellence in Bioinformatics, Bioinformatics Centre, School of Life Sciences, Pondicherry University, Puducherry, IndiaInstitute of Bioinformatics, International Technology Park, Bangalore, IndiaInstitute of Bioinformatics, International Technology Park, Bangalore, IndiaCentre of Excellence in Bioinformatics, Bioinformatics Centre, School of Life Sciences, Pondicherry University, Puducherry, IndiaCentre of Excellence in Bioinformatics, Bioinformatics Centre, School of Life Sciences, Pondicherry University, Puducherry, IndiaInstitute of Bioinformatics, International Technology Park, Bangalore, IndiaCentre of Excellence in Bioinformatics, Bioinformatics Centre, School of Life Sciences, Pondicherry University, Puducherry, India;Institute of Bioinformatics, International Technology Park, Bangalore, IndiaInstitute of Bioinformatics, International Technology Park, Bangalore, IndiaInstitute of Bioinformatics, International Technology Park, Bangalore, India;McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, USADepartment of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, USADepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, USADepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, USAMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, USAMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, USADepartment of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, USADepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, USADepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, USADepartment of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, USAMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, USADepartment of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, USADepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, USADepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, USADepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, USAMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, USADepartment of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, USADepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, USADepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, USADepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, USAMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, USADepartment of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, USADepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, USADepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, USA;Department of Neurochemistry, National Institute of Mental Health and Neuro Sciences, Bangalore, IndiaDepartment of Neurochemistry, National Institute of Mental Health and Neuro Sciences, Bangalore, IndiaDepartment of Neurochemistry, National Institute of Mental Health and Neuro Sciences, Bangalore, India;Institute of Bioinformatics, International Technology Park, Bangalore, IndiaAmrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, IndiaInstitute of Bioinformatics, International Technology Park, Bangalore, IndiaInstitute of Bioinformatics, International Technology Park, Bangalore, IndiaAmrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, IndiaAmrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, IndiaInstitute of Bioinformatics, International Technology Park, Bangalore, IndiaAmrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, India;Institute of Bioinformatics, International Technology Park, Bangalore, IndiaAmrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, IndiaManipal University, Manipal, IndiaCentre of Excellence in Bioinformatics, Bioinformatics Centre, School of Life Sciences, Pondicherry University, Puducherry, IndiaInstitute of Bioinformatics, International Technology Park, Bangalore, IndiaInstitute of Bioinformatics, International Technology Park, Bangalore, IndiaAmrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, IndiaManipal University, Manipal, IndiaCentre of Excellence in Bioinformatics, Bioinformatics Centre, School of Life Sciences, Pondicherry University, Puducherry, IndiaAmrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, IndiaInstitute of Bioinformatics, International Technology Park, Bangalore, IndiaAmrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, IndiaManipal University, Manipal, IndiaCentre of Excellence in Bioinformatics, Bioinformatics Centre, School of Life Sciences, Pondicherry University, Puducherry, IndiaManipal University, Manipal, IndiaInstitute of Bioinformatics, International Technology Park, Bangalore, IndiaAmrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, IndiaManipal University, Manipal, IndiaCentre of Excellence in Bioinformatics, Bioinformatics Centre, School of Life Sciences, Pondicherry University, Puducherry, IndiaCentre of Excellence in Bioinformatics, Bioinformatics Centre, School of Life Sciences, Pondicherry University, Puducherry, IndiaInstitute of Bioinformatics, International Technology Park, Bangalore, IndiaAmrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, IndiaManipal University, Manipal, IndiaCentre of Excellence in Bioinformatics, Bioinformatics Centre, School of Life Sciences, Pondicherry University, Puducherry, India;Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, IndiaAmrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, IndiaAmrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, India;Department of Rheumatology, Fortis Hospital, Bangalore, IndiaDepartment of Rheumatology, Fortis Hospital, Bangalore, IndiaDepartment of Rheumatology, Fortis Hospital, Bangalore, India;Institute of Bioinformatics, International Technology Park, Bangalore, IndiaManipal University, Manipal, IndiaInstitute of Bioinformatics, International Technology Park, Bangalore, IndiaInstitute of Bioinformatics, International Technology Park, Bangalore, IndiaManipal University, Manipal, IndiaManipal University, Manipal, IndiaInstitute of Bioinformatics, International Technology Park, Bangalore, IndiaManipal University, Manipal, India;Department of Internal Medicine, Armed Forces Medical College, Pune, IndiaDepartment of Internal Medicine, Armed Forces Medical College, Pune, IndiaDepartment of Internal Medicine, Armed Forces Medical College, Pune, India;Institute of Bioinformatics, International Technology Park, Bangalore, IndiaDepartment of Biotechnology, Kuvempu University, Shankaraghatta, IndiaInstitute of Bioinformatics, International Technology Park, Bangalore, IndiaInstitute of Bioinformatics, International Technology Park, Bangalore, IndiaDepartment of Biotechnology, Kuvempu University, Shankaraghatta, IndiaDepartment of Biotechnology, Kuvempu University, Shankaraghatta, IndiaInstitute of Bioinformatics, International Technology Park, Bangalore, IndiaDepartment of Biotechnology, Kuvempu University, Shankaraghatta, India

关键词: Pannus;    Prognostic marker;    Endothelial dysfunction;    Synovium;    Biomarkers;   

DOI  :  10.1186/1559-0275-10-11

来源: Humana Press Inc

【 摘 要 】

Abstract

Background

Arthritis refers to inflammation of joints and includes common disorders such as rheumatoid arthritis (RA) and spondyloarthropathies (SpAs). These diseases differ mainly in terms of their clinical manifestations and the underlying pathogenesis. Glycoproteins in synovial fluid might reflect the disease activity status in the joints affected by arthritis; yet they have not been systematically studied previously. Although markers have been described for assisting in the diagnosis of RA, there are currently no known biomarkers for SpA.

Materials and methods

We sought to determine the relative abundance of glycoproteins in RA and SpA by lectin affinity chromatography coupled to iTRAQ labeling and LC-MS/MS analysis. We also used ELISA to validate the overexpression of VCAM-1, one of the candidate proteins identified in this study, in synovial fluid from RA patients.

Results and discussion

We identified proteins that were previously reported to be overexpressed in RA including metalloproteinase inhibitor 1 (TIMP1), myeloperoxidase (MPO) and several S100 proteins. In addition, we discovered several novel candidates that were overexpressed in SpA including Apolipoproteins C-II and C-III and the SUN domain-containing protein 3 (SUN3). Novel molecules found overexpressed in RA included extracellular matrix protein 1 (ECM1) and lumican (LUM). We validated one of the candidate biomarkers, vascular cell adhesion molecule 1 (VCAM1), in 20 RA and SpA samples using ELISA and confirmed its overexpression in RA (p-value <0.01). Our quantitative glycoproteomic approach to study arthritic disorders should open up new avenues for additional proteomics-based discovery studies in rheumatological disorders.

【 授权许可】

Unknown