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Tissue metabolite of type I collagen, C1M, and CRP predicts structural progression of rheumatoid arthritis.

ABSTRACT: Background:Biomarkers of rheumatoid arthritis (RA) disease activity typically measure inflammation or autoimmunity (e.g. CRP, RF). C1M and C3M, metabolites of type I and III collagen, are markers reflecting tissue metabolism. These markers have been documented to provide additional prognostic and predictive value compared to commonly used biomarkers. We investigated the relationship of high serum levels of C1M or C3M to radiographic progression, and benchmarked them to CRP and RF. Methods:Placebo treated patients of the OSK1, 2 and 3 studies (Phase III clinical trials testing efficacy of fostamatinib) with baseline serum biomarkers C1M, C3M, CRP and RF were included (nBL?=?474). Van der Heijde mTSS was calculated at baseline and 24-week (n24?=?261). Progression was defined as moderate or rapid by ?mTSS ?0.5 or???5?units/year. Patients were divided into subgroups; low (L), high (H) or very high (V) C1M, C3M and CRP, or RF negative, positive and high positive. Difference in clinical parameters were analyzed by Mann-Whitney or ?2tests, and modelling for prediction of progression by logistic regression including covariates (age, gender, BMI, and clinical assessment scores). Results:Levels of C1M, C3M, CRP and RF were significantly (p?

SUBMITTER: Bay-Jensen AC

PROVIDER: S-EPMC6390574 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Project description:Rheumatoid arthritis (RA) is a prototypical autoimmune arthritis affecting nearly 1% of the world population and is a significant cause of worldwide disability. Though prior studies have demonstrated the appearance of RA-related autoantibodies years before the onset of clinical RA, the pattern of immunologic events preceding the development of RA remains unclear. To characterize the evolution of the autoantibody response in the preclinical phase of RA, we used a novel multiplex autoantigen array to evaluate development of the anti-citrullinated protein antibodies (ACPA) and to determine if epitope spread correlates with rise in serum cytokines and imminent onset of clinical RA. To do so, we utilized a cohort of 81 patients with clinical RA for whom stored serum was available from 1-12 years prior to disease onset. We evaluated the accumulation of ACPA subtypes over time and correlated this accumulation with elevations in serum cytokines. We then used logistic regression to identify a profile of biomarkers which predicts the imminent onset of clinical RA (defined as within 2 years of testing). We observed a time-dependent expansion of ACPA specificity with the number of ACPA subtypes. At the earliest timepoints, we found autoantibodies targeting several innate immune ligands including citrullinated histones, fibrinogen, and biglycan, thus providing insights into the earliest autoantigen targets and potential mechanisms underlying the onset and development of autoimmunity in RA. Additionally, expansion of the ACPA response strongly predicted elevations in many inflammatory cytokines including TNF-?, IL-6, IL-12p70, and IFN-?. Thus, we observe that the preclinical phase of RA is characterized by an accumulation of multiple autoantibody specificities reflecting the process of epitope spread. Epitope expansion is closely correlated with the appearance of preclinical inflammation, and we identify a biomarker profile including autoantibodies and cytokines which predicts the imminent onset of clinical arthritis.

Project description:Rheumatoid arthritis is a prototypical autoimmune arthritis affecting nearly 1% of the world population and is a significant cause of worldwide disability. Though prior studies have demonstrated the appearance of RA-related autoantibodies years before the onset of clinical RA, the pattern of immunologic events preceding the development of RA remains unclear. To characterize the evolution of the autoantibody response in the preclinical phase of RA, we used a novel multiplex autoantigen array to evaluate development of the anti-citrullinated protein antibodies (ACPA) and to determine if epitope spread correlates with rise in serum cytokines and imminent onset of clinical RA. To do so, we utilized a cohort of 81 patients with clinical RA for whom stored serum was available from 1-12 years prior to disease onset. We evaluated the accumulation of ACPA subtypes over time and correlated this accumulation with elevations in serum cytokines. We then used logistic regression to identify a profile of biomarkers which predicts the imminent onset of clinical RA (defined as within 2 years of testing). We observed a time-dependent expansion of ACPA specificity with the number of ACPA subtypes. At the earliest timepoints, we found autoantibodies targeting several innate immune ligands including citrullinated histones, fibrinogen, and biglycan, thus providing insights into the earliest autoantigen targets and potential mechanisms underlying the onset and development of autoimmunity in RA. Additionally, expansion of the ACPA response strongly predicted elevations in many inflammatory cytokines including TNF-α, IL-6, IL-12p70, and IFN-γ. Thus, we observe that the preclinical phase of RA is characterized by an accumulation of multiple autoantibody specificities reflecting the process of epitope spread. Epitope expansion is closely correlated with the appearance of preclinical inflammation, and we identify a biomarker profile including autoantibodies and cytokines which predicts the imminent onset of clinical arthritis. A total of 559 human sera were profiled using a custom made panel of putative rheumatoid arthritis associated autoantigens. The cohort was comprised of 79 patients with clinical RA for whom stored serum was available from 1-10 years prior to disease onset and 80 control subjects without RA that were matched to cases based on age, gender, race, region of assignment, and time of serum sampling.

Project description:Rheumatoid arthritis (RA) is a multifactorial disease which is complicated by apoptosis resistance. Autophagy is one of the key mechanisms which are involved in the development of resistance to apoptosis as well as to the standard therapies against RA. Aberration in autophagy and apoptosis homeostasis results in the development of oxidative stress thus complicates the pathogenesis of RA. In the given study, tomorou, an indigenous herb of Hunza-Nagar Valley, has been evaluated for its pro-apoptotic, anti-inflammatory, and anti-rheumatic activity. Several major classes of bioactive phytochemicals including steroids, terpenoids, phenols, flavonoids, and essential oils have been detected in the aqueous and ethyl acetate extracts of tomorou through phytochemical analysis. Plant extracts depicted enhanced free radical scavenging activity through di-phenyl-2-picryl hydrazyl hydrate (DPPH) assay and ameliorated the symptoms of arthritis in collagen induced arthritic (CIA) mice model. Moreover, the 6 week extract treatment resulted in the reduction of IL-6 serum levels thus making it an effective anti-inflammatory agent. Upregulation of microtubule-associated proteins light chain 3b (LC3b) and downregulation of UNC51-like kinase 1 (ULK-1) in arthritic mice proposed a ULK-1 independent non-canonical autophagy pathway. Treatment with extracts upregulated the expression of caspase 3 which in turn inhibited the activity of LC3b thus altering the autophagy pathway. However, ULK-1 expression was restored to normal in aqueous extract treated group whereas it was upregulated in ethyl acetate extract treated group. On the other hand, a novel LC3b-independent autophagy pathway was observed in mice treated with ethyl acetate extract due to ULK-1 upregulation. Despite of significantly high IL-6 levels, the arthritic symptoms waned off which suggested the participation of IL-6 in LC3b-independent autophagy pathway in the extract prepared in ethyl acetate. Conclusively, the study established pro-apoptotic, antioxidant, anti-inflammatory and anti-rheumatic activity of tomorou and suggested an intricate autophagy pathway shift.

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Tissue metabolite of type I collagen, C1M, and CRP predicts structural progression of rheumatoid arthritis.

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