Analysis of four serum biomarkers in rheumatoid arthritis: association with extra articular manifestations in patients and arthralgia in relatives

Nass, Flávia Raphaela; Skare, Thelma Larocca; Goeldner, Isabela; Nisihara, Renato; Messias-Reason, Iara; Utiyama, Shirley Ramos da Rosa

doi:10.1016/j.rbre.2016.03.001

Cited by 5 publications

(3 citation statements)

References 27 publications

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“…All of these OMs are both sight-and life-threatening ones because of their association with systemic vasculitis [16]. A risk factor found in this study was ACPA, as reflected by another report that the presence of ACPA was significantly associated with OMs [17] and was the most prevalent biomarker among RA patients [18]. Therefore, ACPA can be both diagnostic and prognostic and can be easily detected before the occurrence of EAMs [19].…”

Section: Discussionsupporting

confidence: 63%

Influence factors of extra-articular manifestations in rheumatoid arthritis

et al. 2020

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Background and objectiveExtra-articular manifestations (EAMs) are serious outcomes or complications of rheumatoid arthritis (RA) with increasing mortality and morbidity. The purpose was to explore the factors influencing EAMs, tissue-specific/systemic EAMs, and the concurrence of several EAMs.Patients and methodsIn total, 519 inpatients with RA were enrolled. The clinical characteristics, laboratory parameters, and medications of RA patients and the details of EAMs were recorded carefully. Differences between groups were examined by a Chi-square test, independent samples t test, one-way analysis of variance, Mann–Whitney U test, and Kruskal–Wallis H test. Binary and ordinal logistic regression analyses were performed to determine the relationship between influential factors and EAMs, tissue-specific/systemic EAMs, and the concurrence of several EAMs.ResultsThe morbidity of EAMs was 44.70%. Male sex, age, and traditional Chinese medicine (TCM) were independent influential factors of EAMs, and a number of statistically significant influence factors were found in the multivariate analysis of tissue-specific/systemic EAMs. Finally, age, CRP levels, number of RA-affected types of joints, and TCM were the factors that independently influenced the concurrence of several EAMs.ConclusionInfluential factors identified in this study could be recommended in clinical work, which is hopeful to decrease the morbidity and mortality of EAMs in RA.

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Section: Discussionsupporting

confidence: 63%

Influence factors of extra-articular manifestations in rheumatoid arthritis

et al. 2020

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“…Immune complexes often containing rheumatoid factor in genetically predisposed subjects contribute to these manifestations. Similarly, several studies have demonstrated the role of certain inflammatory cells (macrophages, CD8 lymphocytes) and their secretory products in the genesis of all cardiac, renal, ocular, pulmonary and cutaneous disorders observed in RA [13].…”

Section: Discussionmentioning

confidence: 89%

Ocular Manifestations during Rheumatoid Arthritis in Conakry

Balde¹,

Kamissoko²,

Camara³

et al. 2022

OJOph

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Rheumatoid arthritis (RA) is a systemic inflammatory disease that primarily affects the joints and may also manifest with extra-articular symptoms. Ocular involvement is common in patients with rheumatoid arthritis and may represent the main clinical manifestation of the disease. Aim: To study the epidemiological and therapeutic particularities of ocular manifestations during rheumatoid arthritis in Conakry. Material and Methods: This was a descriptive cross-sectional study of 6 months duration from 1 January to 30 June 2018 on patients with RA. All patients with chronic inflammatory rheumatism in whom the diagnosis of rheumatoid arthritis had been made according to the diagnostic criteria of the American College of Rheumatology (ACR) 2010 and these patients benefited from a complete ophthalmologic examination. Results: We enrolled 22 patients. The mean age was 43.45 ± 16.07 years (range 21 and 79 years). The mean age at onset of symptoms was 39.4 years with a mean time to diagnosis of RA of 3.9 years. Females dominated with 77.27% of cases with a sex ratio of 0.22 M/F. Photophobia (39.29%), xerophthalmia (31.82%), lacrimation and decreased vision 5 cases or 22.73 each, pruritus (9.09%), foreign body sensation and red eye with 2 cases each or 9.09% were the most frequent symptoms. The different ophthalmological diagnoses found were dry eye 19 cases or 86.36%, allergic conjunctivitis 4 cases or 18.18%, ametropia 3 cases or 13.64%, cataract 2 cases or 9.09%, superficial punctate keratitis 2 cases or 9.09% and chronic glaucoma 1 case or 4.55%. The management of dry eye was based on tear substitutes. Cataract cases (9.09%) required surgical intervention while patients with ametropia (13.04%) received optical correction. Cases of allergic conjunctivitis (18.18%) were reported. Conclusion: Good coordination between the ophthalmologist and the rheumatologist is necessary to optimize the management of patients with rheumatoid arthritis.

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“…(precision 93% y 95% in RA patients) [ 52 ] PHASE 2 Anti-mutated citrullinated vimentin (anti-MCV) Non-omics Significant correlation with ACPA (r = 0.73). comparable value to ACPA for RA early diagnosis, with lower sensitivity and specificity [ 54 , 99 ] PHASE 3 MicroRNAs (miRNAs): miR 223‐3p and miR 16‐5p Epigenomics Prediction of disease outcome in eAR [ 43 ] PHASE 3 miR-642b-5p, miR-483-3p, miR-371b-5p (up-regulated) and miR-25-3p, miR-378d (down-regulated) Epigenomics Association with devolopment RA in undifferentiated arthritis patients after 4 years [ 46 ] PHASE 3 Hypo-methylation in 4 genes (FCRLA, CCDC88C, BCL11B and APOL6) Epigenomics Association with RA progression [ 50 ] PHASE 3 M1V variant SNP (rs3764880, A>G) Genomics Association with good activity of disease and classifies patients that require less therapeutic interventions [ 58 ] PHASE 3 Genetic variant (rs7607479) of the SPAG16 gene Genomics Protective role for radiological progression [ 91 ] PHASE 3 BF*S07 allotype of complement factor B Genomics Significantly associated with extra-articular manifestations (EAM) in brazilian RA patients [ 99 ] PHASE 3 B cell antigen receptor complexassociated protein alpha chain (CD79A) Proteomics Correlation with joint destruction [ …”

Section: Resultsmentioning

confidence: 99%

Potential clinical biomarkers in rheumatoid arthritis with an omic approach

Puentes-Osorio¹,

Amariles²,

Calleja

et al. 2021

Autoimmun Highlights

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Objective To aid in the selection of the most suitable therapeutic option in patients with diagnosis of rheumatoid arthritis according to the phase of disease, through the review of articles that identify omics biological markers. Methods A systematic review in PubMed/Medline databases was performed. We searched articles from August 2014 to September 2019, in English and Spanish, filtered by title and full text; and using the terms "Biomarkers" AND “Rheumatoid arthritis". Results This article supplies an exhaustive review from research of objective measurement, omics biomarkers and how disease activity appraise decrease unpredictability in treatment determinations, and finally, economic, and clinical outcomes of treatment options by biomarkers’ potential influence. A total of 122 articles were included. Only 92 met the established criteria for review purposes and 17 relevant references about the topic were included as well. Therefore, it was possible to identify 196 potential clinical biomarkers: 22 non-omics, 20 epigenomics, 33 genomics, 21 transcriptomics, 78 proteomics, 4 glycomics, 1 lipidomics and 17 metabolomics. Conclusion A biomarker is a measurable indicator of some, biochemical, physiological, or morphological condition; evaluable at a molecular, biochemical, or cellular level. Biomarkers work as indicators of physiological or pathological processes, or as a result of a therapeutic management. In the last five years, new biomarkers have been identified, especially the omics, which are those that proceed from the investigation of genes (genomics), metabolites (metabolomics), and proteins (proteomics). These biomarkers contribute to the physician choosing the best therapeutic option in patients with rheumatoid arthritis.

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Analysis of four serum biomarkers in rheumatoid arthritis: association with extra articular manifestations in patients and arthralgia in relatives

Abstract: A higher number of biomarkers was present in RA patients with EAMs. Positivity of biomarkers was related to arthralgia in relatives. These findings reinforce the link between distinct biomarkers and the pathophysiologic mechanisms of AR.

Cited by 5 publications

References 27 publications

Influence factors of extra-articular manifestations in rheumatoid arthritis

Influence factors of extra-articular manifestations in rheumatoid arthritis

Ocular Manifestations during Rheumatoid Arthritis in Conakry

Potential clinical biomarkers in rheumatoid arthritis with an omic approach

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