scholarly journals Bioboosters in the treatment of rheumatic diseases: a comprehensive review of currently available biologics in patients with rheumatoid arthritis, ankylosing spondylitis and psoriatic arthritis

2009 ◽  
pp. 163 ◽  
Author(s):  
Fabrizio Cantini
Keyword(s):  
Rheumatoid Arthritis ◽  
Psoriatic Arthritis ◽  
Ankylosing Spondylitis ◽  
Rheumatic Diseases ◽  
Comprehensive Review

scholarly journals POS1086 DIFFERENCES IN PROINFLAMMATORY AND LIPID PROFILE BETWEEN PSORIATIC ARTHRITIS, ANKYLOSING SPONDYLITIS AND RHEUMATOID ARTHRITIS

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 822.2-822
Author(s):  
K. Bonek ◽  
E. Kuca-Warnawin ◽  
M. Ciechomska ◽  
P. Głuszko ◽  
E. Kontny
Keyword(s):  
Rheumatoid Arthritis ◽  
Psoriatic Arthritis ◽  
Ankylosing Spondylitis ◽  
Lipid Profile ◽  
Rheumatic Diseases ◽  
Internal Control ◽  
Premature Cardiovascular Disease ◽  
Increased Risk ◽  
Mixed Dyslipidemia ◽  
Intergroup Comparison

Background:Patients with rheumatic diseases such as rheumatoid arthritis (RA), psoriatic arthritis (PsA), and ankylosing spondylitis (AS) are at increased risk of developing dyslipidaemia and premature cardiovascular disease (CVD)(1).Objectives:To investigate the relationship between proinflammatory cytokines, microRNA, and lipid profile in patients with RA, AS, and PsA.Methods:A group of 65 patients (RA15/ AS25/ PsA25) with high disease activity (mean DAS28 5,98 / ASDAS-CRP 3,7/ DAPSA 38,5) and 25 healthy controls (HC) were compared. Lipid profile comprised triglycerides (TG), total cholesterol(TC), low (LDL), and high-density lipoprotein (HDL). Serum concentrations of IL-6, IL-21, IL-17, TNF and osteoprotegerine (OPG) were measured by commercially available enzyme-linked immunosorbent assays. Expression of miR-233-5p,miR-92-3p,miR-485-3p,miR-10b-5p,let-7d-5p, miR-26 -a-2-3p levels in sera was normalized to miR-16a internal control. The Mann-Whitney test was applied for intergroup comparison, the correlation was assessed using Spearman’s Rank test.Results:Patients with RA revealed mixed dyslipidemia (mean values:TC196; LDL 117; HDL, 48 TG; 124 mg/dl), PsA revealed hypertriglyceridemia (TC 175; LDL 100; HDL 50; TG137 mg/dl) and in AS no specific profile was found (TC 179; LDL98; HDL55; TG103 mg/dl). Higher expression of miR-485was observed in patients with PsA (4,8-fold) and AS (5,9-fold) compared to RA and HC groups (3,1 and 1,5-fold p=0,02). Similarly, miR-26a revealed higher expression in patients with PsA (28,4-fold) and AS (21,5-fold) than in RA and HC (3,5 and 2,9-fold p<0,00). PsA patients had higher expression of miR-146b than patients with RA, AS and HC (40,9-fold vs 12,6 vs 15,7 vs 3,4-fold p=0,002) and higher miR-10b (11,7 vs 1,4 vs 4,9 vs 1,7-fold p=0,004). Patients with RA showed higher expression of let7-d than patients with PsA, AS and HC (22-fold vs 1,8 vs 2,3 vs1,9 -fold p=0,002). In PsA miR-92b expression correlated negatively with HDL levels (r=-0,62 p=0,02) and positively with fasting glucose (r=0,71 p<0,00). TG levels negatively correlated with TNF (r=-0,47 p=0,01), IL-17 (r=-0,49 p=0,01) and OPG (r=-0,51 p=0,00) serum levels. Let-7d correlated negatively with TC (r=-0,58 p=0,03). In RA IL-21 positively correlated with LDL (r=0,71 p=0,00) and TC (r=0,75 p=0,001) concentrations. TG levels correlated positively with expressions of miR-92b (r=6,9 p=0,02) and miR-26a (r=0,69 p=0,03). In AS expression of let-7d was correlated positively with HDL (r=0,41 p=0,00) and TC (r=0,45 p=0,00) levels and negatively with ASDAS-CRP (r=-0,675 p=0,02) and CRP levels (r=-0,53 p=0,01). There were no significant differences in OPG, IL-21 concentrations or miR-146b, miR-92b,miR-233 expressions.Conclusion:Differences in proinflammatory profile in RA, PsA, and AS seem to be associated with different phenotypes of dyslipidemia. In PsA expression of miR-92b and higher levels of TNF, IL-17 and OPG are associated with altered lipid profile and hypertriglyceridemia. High activity of AS is associated with lowered expression of let-7d, possibly influencing TC and HDL levels. Therefore, measuring lipid profile in active disease might be misleading. In active RA increase of TC and LDL levels was associated with high IL-21 concentration, while hypertriglyceridemia with miR-92b and miR-26a expressions.References:[1]Bonek K,et al AB0775 Peripheral joint inflammation is associated with more proatherogenic cardiovascular risk profile in patients with psoriatic arthritis.Annals of the Rheumatic Diseases 2020;79:1685-1686Disclosure of Interests:None declared.

scholarly journals Bones and Rheumatology

2021 ◽  
pp. 209-239
Author(s):  
Altaf Abdulkhaliq
Keyword(s):  
Rheumatoid Arthritis ◽  
Systemic Lupus Erythematosus ◽  
Psoriatic Arthritis ◽  
Ankylosing Spondylitis ◽  
Rheumatic Diseases ◽  
Lupus Erythematosus ◽  
Inflammatory Diseases ◽  
Target Tissue ◽  
Systemic Lupus

AbstractBone is a target tissue in many inflammatory diseases including rheumatic diseases such as rheumatoid arthritis (RA), ankylosing spondylitis (AS), systemic lupus erythematosus (SLE), and psoriatic arthritis.

scholarly journals IL-33 Gene Polymorphisms as Potential Biomarkers of Disease Susceptibility and Response to TNF Inhibitors in Rheumatoid Arthritis, Ankylosing Spondylitis, and Psoriatic Arthritis Patients

2021 ◽  
Vol 12 ◽  
Author(s):  
Milena Iwaszko ◽  
Joanna Wielińska ◽  
Jerzy Świerkot ◽  
Katarzyna Kolossa ◽  
Renata Sokolik ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Psoriatic Arthritis ◽  
Ankylosing Spondylitis ◽  
Disease Activity ◽  
Rheumatic Diseases ◽  
Inflammatory Arthritis ◽  
Gene Polymorphisms ◽  
Disease Susceptibility ◽  
Tnf Inhibitors ◽  
Inflammatory Rheumatic Diseases

ObjectiveRheumatoid arthritis (RA), ankylosing spondylitis (AS), and psoriatic arthritis (PsA) belong to inflammatory rheumatic diseases, the group of conditions of unknown etiology. However, a strong genetic component in their pathogenesis has been well established. A dysregulation of cytokine networks plays an important role in the development of inflammatory arthritis. Interleukin 33 (IL-33) is a recently identified member of the IL-1 family. To date, the significance of IL-33 in inflammatory arthritis has been poorly studied. This research aimed to investigate the potential of IL-33 gene polymorphisms to serve as biomarkers for disease susceptibility and TNF inhibitor response in RA, AS, and PsA patients.Materials and MethodsIn total, 735 patients diagnosed with RA, AS, and PsA and 229 healthy individuals were enrolled in the study. Genotyping for three single nucleotide polymorphisms (SNPs) within the IL-33 gene, namely, rs16924159 (A/G), rs10975519 (T/C), and rs7044343 (C/T), was performed using polymerase chain reaction amplification employing LightSNiP assays.ResultsIn the present study, the IL-33 rs10975519 CC genotype was associated with a decreased risk of developing RA in females, while the IL-33 rs16924159 polymorphism was associated with the efficacy of anti-TNF therapy and clinical parameters for RA and AS patients. The IL-33 rs16924159 AA genotype correlated with higher disease activity and worse clinical outcomes in RA patients treated with TNF inhibitors, and AS patients carrying the IL-33 rs16924159 AA genotype had higher disease activity and a worse response to anti-TNF therapy. That indicates a deleterious role of the IL-33 rs16924159 AA genotype in the context of RA, as well as AS.ConclusionsThe obtained results suggest that IL-33 gene polymorphisms might be potential candidate biomarkers of disease susceptibility and anti-TNF treatment response in patients with inflammatory rheumatic diseases.

scholarly journals SAT0589 RISK FOR PSYCHIATRIC HOSPITALIZATION FOLLOWING A RHEUMA-RELATED HOSPITALIZATION: RESULTS FROM A CZECH NATIONWIDE, COHORT STUDY

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1253.2-1254
Author(s):  
T. Formánek ◽  
K. Mladá ◽  
M. Husakova
Keyword(s):  
Rheumatoid Arthritis ◽  
Cohort Study ◽  
Ankylosing Spondylitis ◽  
Rheumatic Disease ◽  
Rheumatic Diseases ◽  
Psychiatric Hospitalization ◽  
Population Based ◽  
Index Hospitalization ◽  
Increased Risk ◽  
History Of

Background:Cohort studies using nationwide health registers have shown an increased risk for affective and anxiety disorders in people with ankylosing spondylitis (AS) and rheumatoid arthritis (RA) (1-3). Moreover, a nationwide cohort study demonstrated an increased risk for mental disorders in people with rheumatic diseases (4).Objectives:We aimed to investigate the risk for psychiatric hospitalization following a hospitalization for rheumatic disease.Methods:Using data from the Czech nationwide register of all-cause hospitalizations, we obtained 4 971 individuals hospitalized (index hospitalization) between 2004 and 2012 for rheumatic diseases - RA, spondyloarthritis (including AS, psoriatic arthritis and undifferentiated spondyloarthritis), systemic lupus erythematosus and systemic sclerodermia, with no history of psychiatric and rheuma-related hospitalization in the previous 10 years from the index hospitalization. On these individuals, we randomly matched (on age, gender and year of index hospitalization) controls that were hospitalized in the same time period for a non-rheumatic disease and have no history of psychiatric and rheumatic hospitalization in the last 10 years from their index hospitalization, in the ratio of 1:5. We employed conditional logistic regression for assessing the risk for psychiatric hospitalization in the subsequent 3 years from the index hospitalization. To strengthen our results, we repeated the matching step 100 times and run the analysis on each resulting dataset separately, and pooled the results. The findings are expressed as odds ratios (OR) with 95% confidence intervals (95% CI).Results:We identified an elevated risk for psychiatric (OR = 1.34, 95% CI = 1; 1.78) and for affective disorders (OR = 2.19, 95% CI = 1.17; 4.1) in people hospitalized for rheumatic diseases. We did not find a statistically significant association with organic, psychotic and anxiety disorders.Conclusion:There is an increased risk for experiencing a psychiatric disorder in the period of 3 years after a rheuma-related hospitalization.References:[1]Shen C-C, Hu L-Y, Yang AC, Kuo BI-T, Chiang Y-Y, Tsai S-J. Risk of Psychiatric Disorders following Ankylosing Spondylitis: A Nationwide Population-based Retrospective Cohort Study. The Journal of Rheumatology. 2016;43(3).[2]Park J-S, Jang H-D, Hong J-Y, Park Y-S, Han K, Suh S-W, et al. Impact of ankylosing spondylitis on depression: a nationwide cohort study. Scientific Reports. 2019;9(1):6736.[3]Hsu C-C, Chen S-C, Liu C-J, Lu T, Shen C-C, Hu Y-W, et al. Rheumatoid Arthritis and the Risk of Bipolar Disorder: A Nationwide Population-Based Study. PLOS ONE. 2014;9(9).[4]Sundquist K, Li X, Hemminki K, Sundquist J. Subsequent Risk of Hospitalization for Neuropsychiatric Disorders in Patients With Rheumatic Diseases: A Nationwide Study From Sweden. Archives of General Psychiatry. 2008;65(5):501-7.Acknowledgments:Supported by the project (Ministry of Health Czech Republic) for conceptual development of research organization 00023728 (Institute of Rheumatology).Disclosure of Interests:Tomáš Formánek: None declared, Karolina Mladá: None declared, Marketa Husakova Speakers bureau: Novartis

scholarly journals AB1280-HPR REQUIRED FORCE TO OBTAIN A POSITIVE SQUEEZE TEST AUTOMATIZED IN PATIENTS WITH HAND ARTHRALGIA

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1931.3-1931
Author(s):  
M. M. Castañeda-Martínez ◽  
G. Figueroa-Parra ◽  
D. Vega-Morales ◽  
B. R. Vázquez Fuentes ◽  
Y. G. Ordoñez Azuara ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Psoriatic Arthritis ◽  
Rheumatic Diseases ◽  
Primary Care Physicians ◽  
Clinical Aspects ◽  
Inflammatory Rheumatic Diseases ◽  
Undifferentiated Arthritis ◽  
Left Hand ◽  
Hand Force ◽  
The Uk

Background:Primary care physicians (PCP) are usually the first contact of people with inflammatory rheumatic diseases, and find the early symptoms of Rheumatoid Arthritis (RA) difficult to distinguish from those of other rheumatic diseases. A time-delay in the reference to Rheumatology is a health issue in several countries. The clinical aspects that general practitioner took into account in hand arthralgia patients are important to make the reference. In particular the Squeeze Test (ST) - which is simple to perform and rapidly done, ST is useful for identifying progression to RA in patients with undifferentiated arthritis. The ST has been described as not reliable because is clinician-dependent.Objectives:To identify the required force that needs to be applied in order to obtain a positive Automatized Squeeze Test (AST) in a cohort of patients with hand arthralgia.Methods:Ninety-seven patients were recruited in Family Medicine Consultation and in Rheumatology Consultation of the Hospital Universitario “Dr. José Eleuterio González” in Monterrey, Nuevo León, México. Eligible patients were adults (aged≥18 years) with hand arthralgia (that wasn’t caused by trauma) as their chief complaint. After obtaining informed consent and after a questionnaire application, patients were submitted to AST maneuver, using an automated compressor with different forces already predetermined in the interface of the software used for compression.Results:In this cohort of 98 patients, 79 (80.6%) were women. The mean age was 51.14 years (SD 14.66). Ninety-six (97.9%) patients were right handed. The diagnoses were Osteoarthritis (OA) (16.3%), RA (5.1%), Undifferentiated arthritis (1.2%), Psoriatic arthritis (1.2%) and Fibromyalgia (2%). Force measures according to diagnoses are reported in Table 1.Table 1.Diagnoses and mean forcesDiagnosisn (%)Right hand force mean (kg/s2) (SD)Left hand force mean (kg/s2) (SD)OA16 (16.3)3.53 (2.74)3.18(2.73)RA5 (5.1)3.60 (2.53)3.16(1.36)UA1 (1.2)7.60(0)8.70(0)PsA1 (1.2)7.60(0)7.80(0)FM2 (2.0)4.11(4.40)1.75(1.06)OA, Osteoarthritis;RA, Rheumatoid Arthritis;UA, Undifferentiated Arthritis;PsA, Psoriatic Arthritis;FM, Fibromyalgia;SD, Standard DeviationConclusion:In the cases of RA and OA, the means of force to obtain a positive AST was lower than in the rest of the diagnoses.References:[1]Stack R, Nightingale P, Jinks C, Shaw K, Herron-Marx S, Horne R et al. Delays between the onset of symptoms and first rheumatology consultation in patients with rheumatoid arthritis in the UK: an observational study. BMJ Open. 2019;9(3):e024361.Disclosure of Interests:None declared

scholarly journals SAT0372 PATIENTS WITH PSORIATIC ARTHRITIS SHOW HIGHER BONE DENSITY COMPARED TO AGE AND GENDER MATCHED PATIENTS WITH ANKYLOSING SPONDYLITIS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1133.2-1134
Author(s):  
D. Freier ◽  
E. Wiebe ◽  
R. Biesen ◽  
T. Buttgereit ◽  
S. Hermann ◽  
...  
Keyword(s):  
Back Pain ◽  
Psoriatic Arthritis ◽  
Ankylosing Spondylitis ◽  
Bone Density ◽  
Rheumatic Diseases ◽  
Inflammatory Rheumatic Diseases ◽  
Age And Gender ◽  
Gender Distribution ◽  
Density Data ◽  
And Gender

Background:The prevalence of osteoporosis in inflammatory rheumatic diseases such as psoriatic arthritis (PsA) has not been sufficiently clarified yet, and the data in the literature are heterogeneous. In addition, it is still unclear to what extent patients with PsA differ in terms of bone density from patients with other forms of spondyloarthritis such as ankylosing spondylitis (AS).Objectives:In an interim analysis of the Rh-GIOP Study (ClinicalTrials.gov IdentifierNCT02719314), we observed that PsA patients demonstrated more frequently normal bone density than any other patient group analyzed (suffering from e.g. rheumatoid arthritis or systemic sclerosis). The main objective of this investigation was to compare bone density data from patients with PsA and AS, as both diseases belong to the spondyloarthritis group. 1100 patients with inflammatory rheumatic diseases provided the basis of Rh-GIOP, a prospective study monitoring glucocorticoid (GC)-induced osteoporosis in patients with rheumatic diseases. Rh-GIOP was established in 2015 at the Charité University Hospital. Bone mineral density data were measured by dual x-ray absorptiometry (DXA).Methods:92 patients with PsA (65% female) were compared with 51 patients suffering from AS (35% female). Potential risk and protective factors (e.g. data on GC treatment, anti-rheumatic therapy), laboratory parameters (e.g. Vitamin D, alkaline phosphatase, calcium and inflammatory markers) and functional status (e.g. Health Assessment Questionnaire, sporting activities, back pain) were compared between these groups. Statistical analysis was performed descriptively using mean and standard deviation, t-tests for metric variables, and chi-square tests for nominal variables. Due to the heterogeneous gender distribution, an additional statistical matching was performed to compare patients matched by age and gender.Results:Patients with PsA displayed significantly higher minimal T-scores than patients with AS (p=0.003) even though patients with AS were younger and more often male (p<0.001). AS patients showed a higher frequency of osteopenic bone densities (p<0.05), however, no differences in the frequency of osteoporotic bone densities were found. Body-mass-index (BMI) was significantly higher (p<0.001) in PsA patients. PsA patients demonstrated a higher frequency of csDMARD use (p<0.001). Additional analyses among PsA patients with and without csDMARDs revealed also significantly higher minimal T-scores in PsA patients taking csDMARDs (90% Methotrexate), and both groups showed the same average of age and gender distribution. Furthermore, AS patients complained significantly more often of back pain (96 % vs. 74%, p=0.001) than PsA patients. No differences in GC use or cumulative GC dose were found. All results could be confirmed when groups were matched by age and gender.Conclusion:Our results demonstrate that patients with PsA display higher bone density compared to age and gender matched patients with ankylosing spondylitis. Possible influencing factors could be the higher frequency of csDMARD use, higher BMI or the lower frequency of back pain in PsA patients. Multivariate tests and additional biomarker investigations in larger cohorts are necessary to corroborate these findings and to identify underlying pathogenic differences which could serve for an explanation.Disclosure of Interests:Desiree Freier: None declared, Edgar Wiebe: None declared, Robert Biesen: None declared, Thomas Buttgereit: None declared, Sandra Hermann: None declared, Timo Gaber: None declared, Frank Buttgereit Grant/research support from: Amgen, BMS, Celgene, Generic Assays, GSK, Hexal, Horizon, Lilly, medac, Mundipharma, Novartis, Pfizer, Roche, and Sanofi.

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