Apolipoprotein A-I and platelet factor 4 are biomarkers for Infliximab response in rheumatoid arthritis.
ABSTRACT OBJECTIVES: The use of biologics such as infliximab has dramatically improved the treatment of rheumatoid arthritis (RA). However, factors predictive of therapeutic response need to be identified. A proteomic study was performed prior to infliximab therapy to identify a panel of candidate protein biomarkers of RA predictive of treatment response. METHODS: Plasma profiles of 60 RA patients (28 non-responders ACR 20 negative and 32 responders ACR 70 positive to infliximab) were studied by SELDI-TOF-MS technology on two types of arrays, an anion exchange array (SAX2) and a nickel affinity array (IMAC3-Ni). Biomarker characterization was carried out using classical biochemical methods (purification by ammonium sulfate precipitation or metal affinity chromatography) and identification by MALDI-TOF analysis. RESULTS: Two distinct protein profiles were observed on both arrays and several proteins were differentially expressed in both patient populations. Five proteins at 3.86, 7.77, 7.97, 8.14 and 74.07 kDa were overexpressed in the non-responder group, whereas one at 28 kDa was increased in the responder population (sensitivity > 56%, specificity > 77.5%). Moreover combination of several biomarkers improved both the sensitivity and specificity of the detection of patient response to over 97%. The 28 kDa protein was characterized as apolipoprotein A-I and the 7.77 kDa biomarker was identified as platelet factor 4. CONCLUSIONS: We characterized six plasma biomarkers, enabling the detection of patient response to infliximab with high sensitivity and specificity. Apolipoprotein A-1 was predictive of a good response to infliximab, whereas platelet factor 4 was associated with non-responders.
SourceAvailable from: Saurabh Sharma[Show abstract] [Hide abstract]
ABSTRACT: Rheumatoid arthritis (RA) is a chronic, autoimmune, systemic and inflammatory rheumatic disease that leads to inflammation of the joints and surrounding tissues. Identification of novel protein(s) associated with severity of RA is a prerequisite for better understanding of pathogenesis of this disease that may also have potential to serve as novel biomarkers in the diagnosis of RA. Present study was undertaken to compare the amount of autoantigens and autoantibodies in the plasma of RA patients in comparison to healthy controls. Plasma samples were collected from the patients suffering from RA, Osteoarthritis (OA), Systemic lupus erythematosus (SLE) and healthy volunteers. The screening of plasma proteins were carried out using 2-dimensional gel electrophoresis followed by identification of differentially expressed protein by MALDI-TOF MS/MS. Among several differentially expressed proteins, transthyretin (TTR) has been identified as one of the protein that showed significantly up regulated expression in the plasma of RA patients. The results were further validated by Western blot analysis and ELISA. In comparison to OA synovium, an exclusive significantly high expression of TTR in RA has been validated through IHC, Western blotting and IEM studies. Most importantly, the increase in expression of TTR with the progression of severity of RA condition has been observed. The autoantibodies against TTR present in the RA plasma were identified using immunoprecipitation-Western methods. The significant production of autoantibodies was validated by ELISA and Western blot analysis using recombinant pure protein of TTR. Hence, these novel observations on increase in TTR expression with the increase in severity of RA conditions and significant production of autoantibodies against TTR clearly suggest that a systematic studies on the role TTR in the pathogenesis of RA is immediately required and TTR may be used as a serum diagnostic marker together with other biochemical parameters and clinical symptoms for RA screening and diagnosis.PLoS ONE 04/2014; 9(4):e93905. DOI:10.1371/journal.pone.0093905 · 3.53 Impact Factor
[Show abstract] [Hide abstract]
ABSTRACT: Objectives: Patients with rheumatoid arthritis (RA) have increased mortality and morbidity due to cardiovascular disease (CVD). A high apolipoprotein (apo)B/apoA1 ratio is known to predict cardiovascular events (CVEs) in the population. apoA1 has, besides anti-atherogenic effects, anti-inflammatory properties. The importance of apolipoproteins in the development of CVEs, in the context of lipids, haemostatic factors, and inflammation, was evaluated over 18 years in patients with RA. Method: Seventy-four patients with inflammatory active RA (61 females/13 males, mean age 63.6 years, disease duration 22.1 years) had been previously investigated in a study of haemostatic factors [tissue plasminogen activator (tPA), plasminogen activator inhibitor (PAI)-1, von Willebrand factor (vWF)], lipids (cholesterol and triglycerides), apolipoproteins (apoA1 and apoB), lipoprotein(a) [Lp(a)], and markers of inflammation [erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and haptoglobin]. After 18 years, the first CVE during follow-up and the presence of traditional CV risk factors, extra-articular disease, and pharmacological treatment were registered. Cox proportional hazards regression was used to identify predictors of a new CVE. Results: A new CVE (n = 34) was predicted by the apoB/apoA1 ratio (p < 0.01), the triglyceride level (p < 0.01), PAI-1 (p < 0.01) and tPA (p < 0.01) activities, vWF (p < 0.001), ESR (< 0.001), CRP (< 0.05), and haptoglobin (p < 0.05). apoA1 (p = 0.056) and apoB (p < 0.05) correlated weakly and inversely with haptoglobin and CRP, respectively. In a multiple Cox regression model, adjusted for gender and previous CVD, the apoB/apoA1 ratio significantly predicted a new CVE, as did vWF, PAI-1, and ESR. Conclusions: The apoB/apoA1 ratio was a good predictor of CVE during 18 years of follow-up in patients with active RA. Apolipoproteins correlated negatively with inflammation.Scandinavian journal of rheumatology 04/2014; 43(4). DOI:10.3109/03009742.2013.877158 · 2.61 Impact Factor
[Show abstract] [Hide abstract]
ABSTRACT: Approximately 30% of rheumatoid arthritis patients achieve inadequate response to anti-TNF biologics. Attempts to identify molecular biomarkers predicting response have met with mixed success. This may be attributable, in part, to the variable and subjective disease assessment endpoints with large placebo effects typically used to classify patient response. Sixty-one patients with active RA despite methotrexate treatment, and with MRI-documented synovitis, were randomized to receive infliximab or placebo. Blood was collected at baseline and genome-wide transcription in whole blood was measured using microarrays. The primary endpoint in this study was determined by measuring the transfer rate constant (Ktrans) of a gadolinium-based contrast agent from plasma to synovium using MRI. Secondary endpoints included repeated clinical assessments with DAS28(CRP), and assessments of osteitis and synovitis by the RAMRIS method. Infliximab showed greater decrease from baseline in DCE-MRI Ktrans of wrist and MCP at all visits compared with placebo (P<0.001). Statistical analysis was performed to identify genes associated with treatment-specific 14-week change in Ktrans. The 256 genes identified were used to derive a gene signature score by averaging their log expression within each patient. The resulting score correlated with improvement of Ktrans in infliximab-treated patients and with deterioration of Ktrans in placebo-treated subjects. Poor responders showed high expression of activated B-cell genes whereas good responders exhibited a gene expression pattern consistent with mobilization of neutrophils and monocytes and high levels of reticulated platelets. This gene signature was significantly associated with clinical response in two previously published whole blood gene expression studies using anti-TNF therapies. These data provide support for the hypothesis that anti-TNF inadequate responders comprise a distinct molecular subtype of RA characterized by differences in pre-treatment blood mRNA expression. They also highlight the importance of placebo controls and robust, objective endpoints in biomarker discovery. Trial Registration: ClinicalTrials.gov NCT01313520PLoS ONE 12/2014; 9(12):e113937. DOI:10.1371/journal.pone.0113937 · 3.53 Impact Factor