OBJECTIVE: The transforming growth factor beta superfamily member macrophage inhibitory cytokine 1 (MIC-1) is expressed upon macrophage activation, regulated by the p53 pathway, and linked to clinical events in atherosclerosis and cancer. Since rheumatoid arthritis (RA) shares similar etiopathologic mechanisms with the above diseases, we sought to determine the clinical utility of determining MIC-1 serum levels and MIC-1 genotype in the management of RA. METHODS: Ninety-one RA patients were recruited. Serum was collected from 83 of these patients and synovial biopsy samples were collected from the remaining 8 patients. Of the 83 patients from whom serum was collected, 61 were treated on an outpatient basis (defined as having nonsevere disease), and 22 patients went on to undergo hemopoietic stem cell transplantation (HSCT) (defined as having severe disease). RESULTS: Serum levels of MIC-1 were higher in RA patients and reflected disease severity independently of classic disease markers. MIC-1 was detected in rheumatoid synovial specimens, and allelic variation of MIC-1 was associated with earlier erosive disease and severe treatment-resistant chronic RA. Additionally, algorithms including serum and/or allelic variation in MIC-1 predicted response to HSCT, the presence of severe disease, and joint erosions. CONCLUSION: Determination of serum levels of MIC-1 and MIC-1 genotype may be clinically useful in the management of RA as well as in selection of patients for HSCT, since they predict disease course and response to therapy. The data indicate a potential role for MIC-1 in RA pathogenesis. These results warrant larger prospective studies to fully delineate and confirm a role for MIC-1 genotyping and serum estimation in patient selection for HSCT and in the management of RA.
OBJECTIVE: The transforming growth factor beta superfamily member macrophage inhibitory cytokine 1 (MIC-1) is expressed upon macrophage activation, regulated by the p53 pathway, and linked to clinical events in atherosclerosis and cancer. Since rheumatoid arthritis (RA) shares similar etiopathologic mechanisms with the above diseases, we sought to determine the clinical utility of determining MIC-1 serum levels and MIC-1 genotype in the management of RA. METHODS: Ninety-one RApatients were recruited. Serum was collected from 83 of these patients and synovial biopsy samples were collected from the remaining 8 patients. Of the 83 patients from whom serum was collected, 61 were treated on an outpatient basis (defined as having nonsevere disease), and 22 patients went on to undergo hemopoietic stem cell transplantation (HSCT) (defined as having severe disease). RESULTS: Serum levels of MIC-1 were higher in RApatients and reflected disease severity independently of classic disease markers. MIC-1 was detected in rheumatoid synovial specimens, and allelic variation of MIC-1 was associated with earlier erosive disease and severe treatment-resistant chronic RA. Additionally, algorithms including serum and/or allelic variation in MIC-1 predicted response to HSCT, the presence of severe disease, and joint erosions. CONCLUSION: Determination of serum levels of MIC-1 and MIC-1 genotype may be clinically useful in the management of RA as well as in selection of patients for HSCT, since they predict disease course and response to therapy. The data indicate a potential role for MIC-1 in RA pathogenesis. These results warrant larger prospective studies to fully delineate and confirm a role for MIC-1 genotyping and serum estimation in patient selection for HSCT and in the management of RA.
Authors: F M Verhamme; L J M Seys; E G De Smet; S Provoost; W Janssens; D Elewaut; G F Joos; G G Brusselle; K R Bracke Journal: Mucosal Immunol Date: 2017-02-01 Impact factor: 7.313
Authors: Paul J Emmerson; Feng Wang; Yong Du; Qian Liu; Richard T Pickard; Malgorzata D Gonciarz; Tamer Coskun; Matthew J Hamang; Dana K Sindelar; Kimberly K Ballman; Lisa A Foltz; Avinash Muppidi; Jorge Alsina-Fernandez; Gavin C Barnard; Jason X Tang; Xilin Liu; Xudong Mao; Robert Siegel; John H Sloan; Pamela J Mitchell; Bei B Zhang; Ruth E Gimeno; Bei Shan; Xinle Wu Journal: Nat Med Date: 2017-08-28 Impact factor: 53.440
Authors: Jing Liu; Sanjeev Kumar; Andreas Heinzel; Michael Gao; Jinjin Guo; Gregory F Alvarado; Roman Reindl-Schwaighofer; A Michaela Krautzberger; Pietro E Cippà; Jill McMahon; Rainer Oberbauer; Andrew P McMahon Journal: J Am Soc Nephrol Date: 2020-02-07 Impact factor: 10.121