scholarly journals Serum Cytokine Profile in Asian Indian Patients with Takayasu Arteritis and its Association with Disease Activity

2017 ◽  
Vol 11 (1) ◽  
pp. 23-29 ◽  
Author(s):  
Ruchika Goel ◽  
Jayakanthan Kabeerdoss ◽  
Babu Ram ◽  
John Antony Jude Prakash ◽  
Sudhir Babji ◽  
...  
Keyword(s):  
Disease Activity ◽  
Asian Indian ◽  
Inflammatory Cytokines ◽  
Stable Disease ◽  
Disease Duration ◽  
Serum Levels ◽  
Indian Patients ◽  
Ifn Γ ◽  
Active Disease

Background: Arterial inflammation Takayasu arteritis (TA) is an outcome of balance between pro- and anti-inflammatory cytokines. Comprehensive assessment of these cytokines is important for understanding pathogenesis and assessing disease activity. Objective: To study pro- and anti-inflammatory cytokines representing different T-helper cell pathway in serum samples of Asian Indian patients with TA and to assess their association with disease activity. Methods: Consecutive Indian patients with TA were assayed for serum interferon-γ, interleukin-6, interleukin-23, interleukin-17, interleukin-10 and transforming growth factor- β levels at baseline and follow up visit. Patients were grouped into active and stable disease based on Indian Takyasu Arteritis clinical Activity Score-2010. Serum levels of these cytokines between active and stable disease and between baseline and follow up visits were compared by non-parametric tests. Results: Among 32 patients enrolled, 15 were classified as active while 17 as stable disease at baseline. IFN-γ levels were significantly higher in active disease than stable disease (p=0.0129) while other cytokines did not differ significantly between 2 groups. Serum levels of none of the cytokines changed significantly over 2 visits in both responders and non-responders. IL23 levels positively correlate with disease duration ((r=0.999; p<0.005). Modest correlation was observed between IFN-γ and IL23 levels at both baseline and follow up and between IFN-γ and IL-6 and CRP at follow up. Conclusion: IFN-γ levels are raised in active disease in TA and correlates well with other biomarkers of disease activity and proinflammatory cytokines. There is also a direct correlation between Il-23 levels and disease duration.

scholarly journals THU0358 NEGATIVE CHANGES OF BODY COMPOSITION IN MYOSITIS PATIENTS AND THEIR ASSOCIATION WITH DISEASE SPECIFIC CHARACTERISTICS, PHYSICAL ACTIVITY AND NUTRITIONAL STATUS.

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 410.3-410
Author(s):  
S. Oreska ◽  
M. Špiritović ◽  
P. Česák ◽  
O. Marecek ◽  
H. Štorkánová ◽  
...  
Keyword(s):  
Physical Activity ◽  
Skeletal Muscle ◽  
Body Composition ◽  
Lipid Metabolism ◽  
Nutritional Status ◽  
Disease Activity ◽  
Inflammatory Cytokines ◽  
Disease Duration ◽  
Serum Levels ◽  
Muscle Involvement

Background:Skeletal muscle, pulmonary and articular involvement in idiopathic inflammatory myopathies (IIM) limit the mobility/self-sufficiency of patients, and can have a negative impact on body composition.Objectives:The aim was to assess body composition and physical activity of IIM patients and healthy controls (HC) and the association with selected inflammatory cytokines/chemokines and laboratory markers of nutrition and lipid metabolism.Methods:54 patients with IIM (45 females; mean age 57.7; disease duration 5.8 years; polymyositis (PM, 22) / dermatomyositis (DM, 25) / necrotizing myopathy (IMNM, 7)) and 54 age-/sex-matched HC (45 females, mean age 57.7) without rheumatic/tumor diseases were included. PM/DM patients fulfilled Bohan/Peter criteria for PM/DM. We assessed body composition (densitometry: iDXA Lunar, bioelectric impedance: BIA2000-M), physical activity (Human Activity Profile, HAP questionnaire), serum levels of 27 cytokines/chemokines (commercial multiplex ELISA kit, Bio-Rad Laboratories) and serum levels of selected parameters of nutrition and lipidogram. Disease activity (MITAX and MYOACT activity score) and muscle involvement (manual muscle testing, MMT-8, and functional index 2, FI2) were evaluated. Data are presented as mean±SD.Results:Compared to HC, patients with IIM had a trend towards significantly increased body fat % (BF%; iDXA: 39.9±7.1 vs. 42.4±7.1 %, p=0.077), but significantly decreased lean body mass (LBM; iDXA: 45.6±8.1 vs. 40.6±7.2 kg, p=0.001; BIA: 52.6±8.8 vs. 48.7±9.0 kg, p=0.023), increased extracellular mass/body cell mass (ECM/BCM) ratio (1.06±0.15 vs. 1.44±0.42, p<0.001), reflecting deteriorated nutritional status and predisposition for physical activity, and significantly lower bone mineral density (BMD: 1.2±0.1 vs. 1.1±0.1 g/cm2, p<0.001). Disease duration negatively correlated with BMD and LBM-BIA. Disease activity (MITAX, MYOACT) positively correlated with LBM (by BIA and DXA), similarly as with basal metabolic rate (BMR), and fat free mass (FFM). CRP was positively associated with BF% (BIA and DXA). Higher BF%-DEXA was associated with worse physical endurance (FI2) and worse ability to perform physical activity (HAP). MMT-8 score negatively correlated with ECM/BCM ratio. Serum levels of several inflammatory cytokines/chemokines (specifically IL-1ra, MCP, IL-10) and markers of nutrition (specifically albumin, C3-, C4-complement, cholinesterase, amylase, insulin and C-peptide, vitamin-D, orosomucoid), and lipid metabolism (specifically triglycerides, high-density lipoprotein, apolipoprotein A and B, atherogenic index of plasma) were significantly associated with alterations of body composition in IIM patients. (p<0.05 for all correlations)Conclusion:Compared to healthy age-/sex-matched individuals we found significant negative changes in body composition of our IIM patients associated with their disease activity and duration, inflammatory status, skeletal muscle involvement, and physical activity. These data could reflect their impaired nutritional status and predispositions for physical exercise, aerobic fitness and performance.Serum levels of certain inflammatory cytokines/chemokines and markers of nutrition and lipid metabolism were associated with alterations of body composition in IIM patients. This might further support the role of systemic inflammation and nutritional status on the negative changes in body composition of IIM patients.Acknowledgments:Supported by AZV NV18-01-00161A, MHCR 023728, SVV 260373 and GAUK 312218Disclosure of Interests:Sabina Oreska: None declared, Maja Špiritović: None declared, Petr Česák: None declared, Ondrej Marecek: None declared, Hana Štorkánová: None declared, Barbora Heřmánková: None declared, Kateřina Kubinova: None declared, Martin Klein: None declared, Lucia Vernerová: None declared, Olga Růžičková: None declared, Karel Pavelka Consultant of: Abbvie, MSD, BMS, Egis, Roche, UCB, Medac, Pfizer, Biogen, Speakers bureau: Abbvie, MSD, BMS, Egis, Roche, UCB, Medac, Pfizer, Biogen, Ladislav Šenolt: None declared, Heřman Mann: None declared, Jiří Vencovský: None declared, Michal Tomčík: None declared

scholarly journals SAT0501 EARLY START OF BIOLOGICAL TREATMENT IN JUVENILE IDIOPHATIC ARTHRITIS: DOES A THERAPEUTIC WINDOW EXIST IN REAL LIFE?

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1207.2-1207
Author(s):  
A. García Fernández ◽  
A. Briones-Figueroa ◽  
L. Calvo Sanz ◽  
Á. Andreu-Suárez ◽  
J. Bachiller-Corral ◽  
...  
Keyword(s):  
Disease Activity ◽  
Biological Treatment ◽  
Real Life ◽  
Therapeutic Window ◽  
Systemic Jia ◽  
Active Arthritis ◽  
The Impact ◽  
Active Patients ◽  
Active Disease

Background:Biological therapy (BT) has changed the treatment and perspectives of JIA patients but little is known about when is the best moment to start BT and the impact of this prompt iniciation.Objectives:To analyze the response to BT of Juvenile Idiophatic Arthritis (JIA) patients according to the time when the BT was started.Methods:A retrospective, descriptive study was conducted on JIA patients followed up in a referal hospital that started BT up to 24 months after diagnosis from 2000 to 2018. Disease activity was measured, at 2 years after diagnosis, according to Wallace criteria for remission (absence of: active arthritis, active uveitis, fever, rash or any other manifestation attributable to JIA, normal CRP and ESR, PGA indicating no active disease) for at least 6 months.Results:55 JIA patients that started BT up to 24 months from diagnosis were analyzed. 69,1% were girls with a median age at diagnosis of 8 years old IQR(3-13), median age at the start of BT of 9 years old IQR(3-13). Regarding JIA categories: 25,5% were Oligoarticular Persistent (OligP), 18,2% Systemic JIA (sJIA), 16,4% Entesitis related Arthritis (ERA), 12,7% Psoriatic Arthritis (APso) and Polyarticular RF- (PolyRF-), 5,5% Oligoarticular Extended (OligE) and Polyarticular RF+ (PolyRF+), 3,6% Undifferentiated (Und). 20% of patients had uveitis during followup. Conventional DMARD (cDMARD) was indicated in 83,6% of patients (95,7% Methotrexate) at diagnosis [median 0 months IQR(0-2,3)]. At the end of followup (2 years) only 30,9% of patients continued with cDMARDs. The main causes of discontinuation were: adverse events (46,7%), remission (36,7%). TNF inhibitors were precribed in 81,8% of patients and 18,2% of patients recieved two BT during the first 2 years from diagnosis. 54,5% of BT were indicated during the first 6 months from diagnosis, 27,3% from 7 to 12 months, 12,7% from 13 to 18 months, 5,5% from 19 to 24 months.After 2 years from diagnosis, 78,2% of patients were on remission and 21,8% active. Among patients with active disease: 75% had arthritis, 16,7% had uveitis and 8,3% had both. There were no differences regarding disease activity among patients with uveitis and neither taking cDMARDs. Regarding JIA categories: 66,7% of OligE, 57,1% of PolyRF- and 57,1% of APso patients were active at 2 years from diagnosis when compared to the other categories (p=0.004).Patients on remission at 24 months from diagnosis started sooner the BT than active patients [CI 95% (0,46-8,29) p=0,029]. The time when the BT was started was correlated to the activity at 2 years (K= 0,294 p=0,029). When the BT was prescribed after 7,5months from diagnosis it was correlated, in a COR curve, with a higher probability of active disease at 2 years (S= 0,67 E= 0,63). There was a correlation, among patients on remission at 2 years, between prompt start of BT and less time to reach remission (K= -0,345 p=0,024). Patients with active disease at 2 years, regardless of moment of BT iniciation, required more BT during follow-up (p=0,002).Conclusion:Prompt iniciation of BT was correlated with a better outcome. JIA patients that started BT early after diagnosis had a higher probability of remission after 2 years. Starting BT after 7,5 months was correlated with a higher probability of active disease at 2 years. Active disease at 24 months was correlated with persistent active disease during follow-up.Disclosure of Interests:None declared

Association of microRNA-125a with the clinical features, disease activity and inflammatory cytokines of juvenile-onset lupus patients

Lupus ◽  
2021 ◽  
pp. 096120332110103
Author(s):  
Eman Eissa ◽  
Botros Morcos ◽  
Rania Fawzy Mahmoud Abdelkawy ◽  
Hanan H Ahmed ◽  
Naglaa M Kholoussi
Keyword(s):  
Disease Activity ◽  
Inflammatory Cytokines ◽  
Lupus Erythematosus ◽  
Plasma Levels ◽  
Clinical Manifestations ◽  
Juvenile Onset ◽  
Expression Levels ◽  
Ifn Γ ◽  
Chronic Autoimmune Disease ◽  
Normal Controls

Background Systemic lupus erythematosus (SLE) is a chronic autoimmune disease with marked variation in its clinical presentation. Juvenile-onset SLE (jSLE) exhibits an aggressive clinical phenotype and severe complications. Dysregulated expression of microRNAs (miRs) in immune cells from patients with SLE has been found. We aim to evaluate the association of miR-125a with the clinical and laboratory characteristics, disease activity and inflammatory cytokines of jSLE patients. Methods 60 jSLE patients and 25 normal controls were involved in the study. The expression pattern of miR-125a was determined in plasma of all subjects using qRT-PCR. In addition, plasma levels of IL-17 and IFN-γ were examined using ELISA. The correlation of miR-125a expression with the clinical manifestations and disease activity of jSLE patients was analyzed. Also, its association with the inflammatory cytokines was investigated in jSLE patients. Results Our findings showed that miR-125a expression levels were significantly reduced in jSLE patients compared to normal controls ( p < 0.01) and these expression levels differed based on the clinical variability of patients. In addition, plasma levels of IL-17 and IFN-γ in jSLE patients were significantly higher than healthy controls ( p < 0.01). Finally, miR-125a expression had significant negative associations with each of SLEDAI-2K ( p < 0.01), SLICC ( p < 0.01), ESR ( p < 0.05), proteinuria ( p < 0.01) and IL-17 levels ( p < 0.01) in jSLE patients. Conclusion Our findings postulate that miR-125a could act as a candidate therapeutic target for its possible regulation of inflammation in jSLE patients.

scholarly journals SAT0039 ADAPTIVE DEEP LEARNING FOR THE PREDICTION OF INDIVIDUAL DISEASE ACTIVITY IN PATIENTS WITH RHEUMATOID ARTHRITIS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 950.1-950
Author(s):  
M. Hügle ◽  
G. Kalweit ◽  
U. Walker ◽  
A. Finckh ◽  
R. Muller ◽  
...  
Keyword(s):  
Neural Network ◽  
Rheumatoid Arthritis ◽  
Disease Activity ◽  
Deep Neural Networks ◽  
Disease Duration ◽  
Research Support ◽  
Disease Characteristics ◽  
Individual Disease ◽  
Active Disease ◽  
Research Grant

Background:Rheumatoid arthritis (RA) lacks reliable biomarkers that predict disease evolution on an individual basis, potentially leading to over- and undertreatment. Deep neural networks learn from former experiences on a large scale and can be used to predict future events as a potential tool for personalized clinical assistance.Objectives:To investigate deep learning for the prediction of individual disease activity in RA.Methods:Demographic and disease characteristics from over 9500 patients with 65.000 visits from the Swiss Quality Management (SCQM) database were used to train and evaluate an adaptive recurrent neural network (AdaptiveNet). Patient and disease characteristics along with clinical and patient reported outcomes, laboratory values and medication were used as input features. DAS28-BSR was used to predict active disease and future numeric individual disease activity by classification and regression, respectively.Results:AdaptiveNet predicted active disease defined as DAS28-BSR>2.6 at the next visit, with an overall accuracy of 75.6% and a sensitivity and specificity of 84.2% and 61.5%, respectively. Apart from DAS28-BSR, the most influential characteristics to predict disease activity were joint pain, disease duration, age and medication. Longer disease duration, age >50 or antibody positivity marginally improved prediction performance. Regression allowed forecasting individual DAS28-BSR values with a mean squared error of 0.9.Conclusion:Deep neural networks have the capacity to predict individual disease outcome in RA. Low specificity remains challenging and might benefit from alternative input data or outcome targets.References:[1] Hügle M, Kalweit G, Hügle T, Boedecker J. A Dynamic Deep Neural Network For Multimodal Clinical Data Analysis. Be Publ Stud Comput Intell Springer Verl. 2020.Figure 1.Examples of true disease activity and corresponding predictions of AdaptiveNet by regression analysis. Predictions are made step to step from the current to next visit.Disclosure of Interests:Maria Hügle Paid instructor for: Lilly, Gabriel Kalweit: None declared, Ulrich Walker Grant/research support from: Ulrich Walker has received an unrestricted research grant from Abbvie, Consultant of: Ulrich Walker has act as a consultant for Abbvie, Actelion, Boehringer Ingelheim, Bristol-Myers Squibb, Celgene, MSD, Novartis, Pfizer, Phadia, Roche, Sandoz, Sanofi, and ThermoFisher, Paid instructor for: Abbvie, Novartis, and Roche, Speakers bureau: Abbvie, Actelion, Bristol-Myers Squibb, Celgene, MSD, Novartis, Pfizer, Phadia, Roche, Sandoz, and ThermoFisher, Axel Finckh Grant/research support from: Pfizer: Unrestricted research grant, Eli-Lilly: Unrestricted research grant, Consultant of: Sanofi, AB2BIO, Abbvie, Pfizer, MSD, Speakers bureau: Sanofi, Pfizer, Roche, Thermo Fisher Scientific, Rudiger Muller Consultant of: AbbVie, Nordic, Sandoz, Almut Scherer: None declared, Joschka Boedecker: None declared, Thomas Hügle Grant/research support from: Abbvie, Novartis, Consultant of: Abbvie, Pfizer, Novartis, Roche, Lilly, BMS

THU0356 DISEASE ACTIVITY ASSESSMENT IN SYSTEMIC SCLEROSIS PATIENTS BASED ON THE CURRENTLY AVAILABLE ACTIVITY INDICES AND THE PHYSICIAN GLOBAL ASSESSMENT

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 409.1-409
Author(s):  
T. Minier ◽  
V. Lóránd ◽  
Z. Bálint ◽  
D. Komjati ◽  
G. Nagy ◽  
...  
Keyword(s):  
Disease Activity ◽  
Global Assessment ◽  
Activity Index ◽  
Activity Assessment ◽  
One Year ◽  
Active Disease ◽  
The Eu ◽  
Disease Activity Assessment ◽  
Activity Indices

Background:Disease activity assessment is crucial in defining the appropriate therapy and to monitor the efficacy of treatment in systemic sclerosis.Objectives:We aimed to test the performance of the ’old’ European Scleroderma Trials and Research Group (EUSTAR) Activity Index (old-AI) (1), the ’new’ EUSTAR activity index (new-AI) (2), and the scleroderma activity index derived from the old-AI (Pecs-AI) (3). We compared the three indices to the disease activity based on the physician’s global assessment (PGA). We also assessed the correlations with the change in modified Rodnan Skin Score (MRSS), FVC and arthritis after one year follow-up.Methods:We evaluated 77 patients (50 diffuse /dcSSc/ and 27 limited cutaneous SSc /lcSSc/ patients) from a single tertiary clinical center. Cohort enrichment was performed to increase the number of patients with early disease and dcSSc. Seventy-two patients were re-evaluated after one year. Nine patients had overlap syndromes: rheumatoid arthritis (n=3), Sjögren syndrome (n=2), polymyositis (n=2), and mixed connective tissue disease (n=2). The overall disease activity was evaluated using both composite indices (old-AI, Pecs-AI, new-AI) and the PGA of disease activity, based on the blinded evaluation of a single physician (LV). In addition to the minimal essential data from the EUSTAR database we also performed detailed assessment of the musculoskeletal involvement evaluating measures of hand function, DAS28 scores, and the Clinical Disease Activity Index (CDAI) (4).Results:Three times more patients with active disease were identified by the new-AI compared to the old-AI at baseline investigation (n=37, 48.7%, vs. n=11, 14.3%). Two patients (18%) with active disease based on the old-AI were missed by the new-AI. Pecs-AI index identified 15 patients (19.5%) with active disease (cut-off >2.75 points). Active disease was equally frequent in dcSSc and lcSSc patients based on old-AI, but was more frequent in dcSSc patients based on the new-AI in the whole cohort, and also after excluding overlap cases.Patients with active disease based on the old-AI had more frequently rheumatoid factor (6/9, vs. 12/45, p=0.047), and DLCO<70% (11/11, vs. 36/65, p<0.01). Active disease based on the new-Al was associated with current cyclophosphamide treatment (9/37, vs.2/39, p=0.023), and diabetes mellitus (7/30, vs. 0/39, p<0.01). The PGA correlated moderately at both baseline and one year follow-up examination with the old-AI (rho: 0.519, and rho: 0.692, respectively, p<0.001), the new-AI (rho: 0.401, and rho: 0.429, respectively, p<0.001), and the Pecs-AI (rho: 0.425, and rho: 0.593, respectively, p<0.001).CDAI correlated significantly with the old-AI (rho: 0.345, and rho: 0.283, respectively, p<0.05) and the Pecs-AI (rho: 0.363, and rho: 0.324, respectively, p<0.05) at both the baseline and one-year follow-up investigations, but showed no consistent correlation to the new-AI or PGA.Conclusion:The two validated disease activity indices indentify different patient groups. Joint involvement is potentially underrepresented in the new EUSTAR activity index. Active disease is also present in lcSSc and should be assessed regularly in these patients.References:[1]Valentini G, et al. Ann Rheum Dis 2003; 62: 901-3.[2]Valentini G, et al. Ann Rheum Dis 2017;76:270–276.[3]Minier T, et al. Rheumatology (Oxford) 2010;49(6):1133-45.[4]Lorand V, et al. Rheumatology (Oxford). 2016;55(10):1849-58.Acknowledgments:This work was supported by the EU Seventh Framework Program [FP7/2007-2013] under Grant Agreement n° 305495 (DeSScipher), by the Hungarian Scientific Research Fund (contract n°: 112939), and the EU under the Grant Agreement n° PEPSYS GINOP-232-15-2016-00050.Disclosure of Interests:Tünde Minier Speakers bureau: Actelion, Abbvie, MSD, Pfizer, Lilly, Roche, Veronika Lóránd: None declared, Zsófia Bálint: None declared, Dalma Komjati: None declared, Gabriella Nagy Speakers bureau: MSD, Antonietta Kovács: None declared, Orsolya Koncz: None declared, Cecília Varjú Consultant of: Boehringer Ingelheim RCV GmbH & Co KG, Speakers bureau: Lilly, László Czirják Consultant of: Actelion, BI, Roche-Genentech, Lilly, Medac, Novartis, Pfizer, Bayer AG, Gabor Kumanovics Consultant of: Boehringer, Teva, Speakers bureau: Roche, Lilly, Novartis, Balazs Nemeth: None declared

scholarly journals Development of Mucosal PNAd+ and MAdCAM-1+ Venules during Disease Course in Ulcerative Colitis

Cells ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 891
Author(s):  
Britt Roosenboom ◽  
Ellen G. van Lochem ◽  
Jos Meijer ◽  
Carolijn Smids ◽  
Stefan Nierkens ◽  
...  
Keyword(s):  
Ulcerative Colitis ◽  
Disease Activity ◽  
High Endothelial Venules ◽  
Cell Homing ◽  
Colonic Biopsy ◽  
T Cell Homing ◽  
N 93 ◽  
Active Inflammation ◽  
Active Disease

PNAd and MAdCAM-1 addressins on venules are of importance in T-cell homing and potential therapeutic targets in ulcerative colitis (UC). Normally, PNAd+ high endothelial venules (HEVs) are only present in lymphoid organs, whereas small numbers of MAdCAM-1+ venules can be seen in non-lymphoid tissue. We aimed to study their presence in the intestinal mucosa of UC patients at diagnosis and during follow-up, and their correlation with disease activity. Colonic biopsy specimens of 378 UC patients were analyzed by immunohistochemistry for CD3, CD20, ERG, MECA-79 (PNAd) and MECA-376 (MAdCAM-1) and compared to healthy controls (HC). The proportion of PNAd+HEVs in UC at diagnosis was 4.9% (IQR 2.0%–8.3%), while none were detected in HC. During follow-up, PNAd+HEVs completely disappeared in remission (n = 93), whereas the proportion in active disease was similar to baseline (n = 285, p = 0.39). The proportion of MAdCAM-1+venules in UC at baseline was 5.8% (IQR 2.6–10.0). During follow-up, the proportion in remission was comparable to diagnosis, but upregulated (7.5% (IQR 4.4–10.9), p = 0.001) in active disease. In conclusion, PNAd+HEVs appear in UC during active inflammation which could thus serve as a marker for disease activity, whereas MAdCAM-1+venules remain present after inflammation is resolved and increase after subsequent flares, reflecting chronicity and potentially serving as a therapeutic target.

scholarly journals Increased abundance of proteobacteria in aggressive Crohn’s disease seven years after diagnosis

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
M. K. Vester-Andersen ◽  
H. C. Mirsepasi-Lauridsen ◽  
M. V. Prosberg ◽  
C. O. Mortensen ◽  
C. Träger ◽  
...  
Keyword(s):  
Crohn’S Disease ◽  
Crohn's Disease ◽  
Disease Activity ◽  
Activity Index ◽  
Aggressive Disease ◽  
Intestinal Dysbiosis ◽  
Inflammatory Bowel ◽  
Microbiota Diversity ◽  
Active Disease

Abstract Intestinal dysbiosis in inflammatory bowel disease (IBD) patients depend on disease activity. We aimed to characterize the microbiota after 7 years of follow-up in an unselected cohort of IBD patients according to disease activity and disease severity. Fifty eight Crohn’s disease (CD) and 82 ulcerative colitis (UC) patients were included. Disease activity was assessed by the Harvey-Bradshaw Index for CD and Simple Clinical Colitis Activity Index for UC. Microbiota diversity was assessed by 16S rDNA MiSeq sequencing. In UC patients with active disease and in CD patients with aggressive disease the richness (number of OTUs, p = 0.018 and p = 0.013, respectively) and diversity (Shannons index, p = 0.017 and p = 0.023, respectively) were significantly decreased. In the active UC group there was a significant decrease in abundance of the phylum Firmicutes (p = 0.018). The same was found in CD patients with aggressive disease (p = 0.05) while the abundance of Proteobacteria phylum showed a significant increase (p = 0.03) in CD patients. We found a change in the microbial abundance in UC patients with active disease and in CD patients with aggressive disease. These results suggest that dysbiosis of the gut in IBD patients is not only related to current activity but also to the course of the disease.

Anticitrullinated Protein Antibodies and Radiological Progression in Juvenile Idiopathic Arthritis

2012 ◽  
Vol 39 (5) ◽  
pp. 1078-1087 ◽  
Author(s):  
JOANNA LIPIŃSKA ◽  
HENRYKA BRÓZIK ◽  
JERZY STAŃCZYK ◽  
ELZBIETA SMOLEWSKA
Keyword(s):  
Juvenile Idiopathic Arthritis ◽  
Disease Activity ◽  
Disease Duration ◽  
Early Stage ◽  
Joint Destruction ◽  
Serum Levels ◽  
Disease Course ◽  
Predictive Information ◽  
Severity Of Disease ◽  
Anticitrullinated Protein Antibodies

Objective.The aim of the study was to investigate whether determination of anticitrullinated protein antibodies (ACPA) provides predictive information on severity of disease course and joint destruction in children with juvenile idiopathic arthritis (JIA).Methods.Sera from 74 children with JIA were examined for ACPA using the ELISA test. To assess joint destruction, plain radiographs of both hands were scored twice according to the Steinbrocker scale: at the beginning of observation and after 8.9 to 15.2 months (median 11.5 months) of the followup. Correlations between ACPA serum levels and the disease characteristics (type of JIA onset, disease activity, disease duration, radiological status) were investigated.Results.Twenty-six out of 74 examined children with JIA (35.0%) were ACPA-positive [> 5 relative units (RU)/ml]. ACPA were present in all types of JIA onset, including 36.6% of children with early stage JIA (disease duration < 6 months). All of the IgM-rheumatoid factor (RF)-positive children with polyarticular type of JIA onset were simultaneously positive for ACPA. ACPA levels correlated positively with disease activity at the beginning of the study (rho = 0.7196; p < 0.0001) and after followup (rho = 0.2485; p = 0.0486). Disease duration did not significantly affect ACPA serum levels. ACPA levels correlated positively with radiological joint destruction in children with JIA, both at the beginning of the study (rho = 0.4599; p = 0.0004) and after the followup period (rho = 0.5523; p < 0.0001).Conclusion.ACPA were superior to IgM-RF in diagnosing JIA and provided predictive information on severity of disease course and radiological outcome.

The Relation of Interleukin 17 (IL-17) and IL-23 to Th1/Th2 Cytokines and Disease Activity in Systemic Lupus Erythematosus

2010 ◽  
Vol 37 (10) ◽  
pp. 2046-2052 ◽  
Author(s):  
MO YIN MOK ◽  
HAI JING WU ◽  
YI LO ◽  
CHAK SING LAU
Keyword(s):  
Disease Activity ◽  
Lupus Erythematosus ◽  
Serum Levels ◽  
Interleukin 17 ◽  
Healthy Controls ◽  
Th2 Cytokines ◽  
Systemic Lupus ◽  
Active Lupus Nephritis ◽  
Active Lupus ◽  
Active Disease

Objective.Interleukin 17 (IL-17) was recently linked to pathogenesis of systemic lupus erythematosus (SLE), but its relation to disease activity has not been well characterized. We examined the relation between serum levels of Th17 (IL-17, IL-23), Th1 (IL-12, interferon-γ), Th2 (IL-10, IL-6, IL-4) cytokines and disease activity in patients with SLE.Methods.Serum cytokines were measured by enzyme linked immunosorbent assays. Disease activity was determined by SLE disease activity index (SLEDAI), anti-dsDNA antibody, and C3 and C4 levels.Results.Serum levels of IL-17 (p < 0.001), IL-6 (p = 0.006) and IL-10 (p < 0.001) were higher in SLE patients (n = 70) compared to healthy controls (n = 36). Higher serum IL-23 level was found in patients with active disease with cutaneous manifestations (p = 0.004) and serositis (p = 0.04) compared to those without. Serum IL-17 level above the detection limit was more frequently found in patients who had active lupus nephritis (11/23, 47.8%) (p = 0.002), nonrenal active disease (9/15, 60%) (p = 0.001), and inactive lupus (21/32, 65.6%) (p < 0.001) compared to healthy controls (0%). Serum IL-17 levels were otherwise comparable between these 3 groups of patients and were not related to SLEDAI, glomerular filtration rate, activity or chronicity score and ISN/RPS criteria class among patients with active lupus nephritis. There was no significant correlation between serum IL-17/IL-23 and Th1 or Th2 cytokine levels.Conclusion.SLE patients had higher serum IL-17 levels than healthy controls. Elevated serum IL-23 was found in patients with inflammatory manifestations including cutaneous involvement and serositis. The lack of correlation between Th17, Th1, and Th2 cytokines suggested independent regulatory mechanisms for these cytokines.

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