Childhood-Onset Lupus Nephritis in the Childhood Arthritis and Rheumatology Research Alliance Registry: Short-Term Kidney Status and Variation in Care

OBJECTIVE

The goal was to characterize short-term kidney status and describe variation in early care utilization in a multicenter cohort of patients with childhood-onset systemic lupus erythematosus (cSLE) and nephritis.

METHODS

We analyzed previously collected prospective data from North American patients with cSLE with kidney biopsy-proven nephritis enrolled in the Childhood Arthritis and Rheumatology Research Alliance (CARRA) Registry from March 2017 through December 2019. We determined the proportion of patients with abnormal kidney status at the most recent registry visit and applied generalized linear mixed models to identify associated factors. We also calculated frequency of medication use, both during induction and ever recorded.

RESULTS

We identified 222 patients with kidney biopsy-proven nephritis, with 64% class III/IV nephritis on initial biopsy. At the most recent registry visit at median (interquartile range) of 17 (8-29) months from initial kidney biopsy, 58 of 106 patients (55%) with available data had abnormal kidney status. This finding was associated with male sex (odds ratio [OR] 3.88, 95% confidence interval [95% CI] 1.21-12.46) and age at cSLE diagnosis (OR 1.23, 95% CI 1.01-1.49). Patients with class IV nephritis were more likely than class III to receive cyclophosphamide and rituximab during induction. There was substantial variation in mycophenolate, cyclophosphamide, and rituximab ever use patterns across rheumatology centers.

CONCLUSION

In this cohort with predominately class III/IV nephritis, male sex and older age at cSLE diagnosis were associated with abnormal short-term kidney status. We also observed substantial variation in contemporary medication use for pediatric lupus nephritis between pediatric rheumatology centers. Additional studies are needed to better understand the impact of this variation on long-term kidney outcomes.

Intraarticular steroids as DMARD-sparing agents for juvenile idiopathic arthritis flares: Analysis of the Childhood Arthritis and Rheumatology Research Alliance Registry

BACKGROUND

Children with juvenile idiopathic arthritis (JIA) who achieve a drug free remission often experience a flare of their disease requiring either intraarticular steroids (IAS) or systemic treatment with disease modifying anti-rheumatic drugs (DMARDs). IAS offer an opportunity to recapture disease control and avoid exposure to side effects from systemic immunosuppression. We examined a cohort of patients treated with IAS after drug free remission and report the probability of restarting systemic treatment within 12 months.

METHODS

We analyzed a cohort of patients from the Childhood Arthritis and Rheumatology Research Alliance (CARRA) Registry who received IAS for a flare after a period of drug free remission. Historical factors and clinical characteristics and of the patients including data obtained at the time of treatment were analyzed.

RESULTS

We identified 46 patients who met the inclusion criteria. Of those with follow up data available 49% had restarted systemic treatment 6 months after IAS injection and 70% had restarted systemic treatment at 12 months. The proportion of patients with prior use of a biologic DMARD was the only factor that differed between patients who restarted systemic treatment those who did not, both at 6 months (79% vs 35%, p < 0.01) and 12 months (81% vs 33%, p < 0.05).

CONCLUSION

While IAS are an option for all patients who flare after drug free remission, it may not prevent the need to restart systemic treatment. Prior use of a biologic DMARD may predict lack of success for IAS. Those who previously received methotrexate only, on the other hand, are excellent candidates for IAS.

OP0221 EFFICACY OF SECUKINUMAB IN ENTHESITIS-RELATED ARTHRITIS: RESULTS FROM A RANDOMISED, DOUBLE-BLIND, PLACEBO-CONTROLLED, TREATMENT WITHDRAWAL, PHASE 3 STUDY (JUNIPERA)

Background

Enthesitis-related Arthritis (ERA) is a category of juvenile idiopathic arthritis (JIA) characterised by heterogeneous and insidious manifestations comprising axial and/or peripheral arthritis, and enthesitis.1 Secukinumab (SEC) demonstrated efficacy and safety in both ERA and juvenile psoriatic arthritis (JPsA) in the JUNIPERA trial.2

Objectives

To evaluate the rate of flare risk reduction and efficacy of SEC on axial and peripheral manifestations in patients (pts) with active ERA.

Methods

ERA pts (2 to <18 years of age) with active disease (both ≥3 active joints and ≥1 active enthesitis site) were included. In the open-label (OL) treatment-period (TP)1, s.c. SEC (75/150 mg in pts <50/ ≥50 kg) was administered at baseline (BL), and at Week (Wk) 1–4, 8 and 12. Pts who achieved at least JIA-ACR30 response at Wk 12 were randomised into the double-blinded TP2 to continue SEC or placebo (PBO) every 4 wk until a disease flare, or up to Wk 100. The primary endpoint was time to flare in ERA and JPsA pts. The juvenile spondyloarthritis disease activity Index (JSpADA) is a disease activity assessment tool that contains 8 items to measure axial and peripheral disease activity.3 Evaluation of axial and peripheral manifestations at the end of TP1 and TP2 in pts who experienced these symptoms at BL included modified Schober test (lumbar flexion), inflammatory back pain, FABER (Flexion, ABduction, External Rotation) test, JIA-ACR responses, Juvenile Arthritis Disease Activity Score (JADAS)-27, and resolution of enthesitis and dactylitis for peripheral disease. These outcomes were also used to assess JIA disease course at the end of TP2.

Results

A total of 52/86 (60.5%) pts with ERA were enrolled in the OL period TP1 (mean age, 13.7 years; male, 78.8%). In total, 51/52 (98.1%) pts completed TP1 and 41/44 (93.2%) completed TP2. At BL, mean JADAS-27 was 14.8, mean JSpADA index was 3.9, mean enthesitis and dactylitis counts were 2.7 and 0.4, respectively, mean number of active joints was 6.2 and of mean joints with limited range of motion 4.9. The relative risk reduction of experiencing a disease flare in TP2 was 55% (HR 0.45, 95% CI: 0.16–1.28, p=0.075) in ERA pts (Figure 1). The overall axial and peripheral disease symptoms improved over time and are presented in the Table 1. At the end of TP1, 84.6% (44/52) of pts achieved JIA-ACR 30 and 65.4% (34/52) achieved JIA-ACR 70. Clinically relevant reduction of functional ability as assessed by Childhood Health Assessment Questionnaire (CHAQ) also occurred (see Table 1).

Table 1.

Resolution of axial and peripheral disease symptoms and JIA ACR responses at the end of TP1 and 2

Clinical response, mean (SD) change from BL (unless otherwise stated)TP1-Wk 12End of TP2*SEC (N=52)SEC (N=22)PBO (N=22)JSpADA index−2.4 (1.7)−2.7 (1.7)−2.3 (2.1)JSpADA Schöber, %58.3100.0100.0Inflammatory back pain, %77.8100.050.0FABER test, %52.6100.083.3Clinical sacroiliitis, %53.3100.050.0Enthesitis−2.2 (1.9)−2.5 (2.1)−1.3 (1.8)Dactylitis−0.2 (0.8)−0.2 (1)−0.1 (0.4)JIA ACR30, %84.690.968.2JIA ACR50, %78.881.868.2JIA ACR70, %65.468.254.5JIA ACR90, %32.745.550.0JIA ACR100, %26.936.445.5Inactive disease, %38.550.050.0CHAQ−0.5 (0.5)−0.6 (0.7)−0.4 (0.5)CRP, median (SD) change from BL−1.8 (38.7)−5.8 (38.3)0 (35.9)JADAS-27−9.6 (7.5)−11.0 (8.9)−7.6 (8.9)Resolution of enthesitis#, %72.378.683.3Resolution of dactylitis#, %5066.70

*End of TP2 is based on individual pts’ last visit at TP2. #At BL, in TP1, enthesitis (n= 46); dactylitis (n=5). In TP2, no. of pts who had presence at BL and showed complete resolution at the end of TP2: enthesitis, SEC 14, PBO 18; dactylitis, SEC 3, PBO, 0. CRP, C-reactive protein

Conclusion

In pts with ERA, SEC demonstrated longer time to disease flare vs PBO and exhibited rapid and sustained improvement of axial and peripheral manifestations up to Wk 104.

References

[1]Pagnini I, et al. Front Med 2021;8:6673052.

[2]Brunner H, et al. Arthritis Rheumatol 2021;73 (suppl 10).

[3]Weiss PF, et al. Arthritis Care Res 2014;66:1775-82.

Disclosure of Interests

Nicolino Ruperto Speakers bureau: Eli Lilly, GlaxoSmith and Kline, Pfizer, SOBI and UCB, Paid instructor for: Eli Lilly and Pfizer, Consultant of: Ablynx, Amgen, Astrazeneca-Medimmune, Aurinia, Bayer, Bristol Myers and Squibb, Cambridge Healthcare Research (CHR), Celegene, Domain therapeutic, Eli Lilly, EMD Serono, GlaxoSmith and Kline, Idorsia, Janssen, Novartis, Pfizer, SOBI and UCB, Grant/research support from: Bristol Myers and Squibb, Eli Lilly, F Hoffmann-La Roche, Novartis, Pfizer and SOBI, Elena Chertok: None declared, Joke Dehoorne Speakers bureau: Abbvie, Roche, Consultant of: Abbvie, Roche, Pfizer, Grant/research support from: Abbvie, Roche, Gerd Horneff Speakers bureau: Novartis, Pfizer, Janssen, Grant/research support from: Pfizer, Novartis, Roche, MSD, Tilmann Kallinich Speakers bureau: Roche, Ingrid Louw Speakers bureau: Pfizer, Abbvie, BMS, Consultant of: Pfizer, Abbvie, Janssen, Amgen and Cipla, Sandrine Compeyrot-Lacassagne: None declared, Bernard Lauwerys Employee of: UCB Pharma, Neil Martin: None declared, Katherine Marzan Grant/research support from: Novartis, Sanofi, William Knibbe Speakers bureau: Novartis, Amgen, UCB, Abbvie, Ruvie Martin Shareholder of: Novartis, Employee of: Novartis, Xuan Zhu Shareholder of: Novartis, Employee of: Novartis, sarah whelan Shareholder of: Novartis, Employee of: Novartis, Luminita Pricop Shareholder of: Novartis, Employee of: Novartis, Alberto Martini Speakers bureau: Aurinia, Bristol Myers and Squibb, Eli Lilly, EMD, Janssen, Pfizer, Roche and Serono, Consultant of: Aurinia, Bristol Myers and Squibb, Eli Lilly and EMD, Daniel J Lovell Consultant of: Astra Zeneca, Boehringer Ingelheim, GSK, Hoffman LaRoche, Novartis, UBC, Grant/research support from: Astra Zeneca, Boehringer Ingelheim, GSK, Hoffman LaRoche, Novartis, UBC, Hermine Brunner Consultant of: Novartis, Grant/research support from: Novartis

POS0739 THE RENAL ACTIVITY INDEX FOR LUPUS (RAIL) DIFFERENTIATES ACTIVE AND INACTIVE NEPHRITIS IN ADULT PATIENTS WITH SYSTEMIC LUPUS ERYTHEMATOSUS (SLE)

Background

Lupus nephritis (LN) confers a poor prognosis, with lack of effective laboratory tests to diagnose and evaluate therapies. We have demonstrated that the RAIL score, based on a set of six urinary biomarkers (NGAL, KIM-1, MCP-1, adiponectin, hemopexin, ceruloplasmin) is sensitive and specific in adult patients with active LN, using renal biopsy as reference.1,2 RAIL has been shown in the pediatric population to be effective in distinguishing inactive vs active LN with no effect from mycophenolate mofetil (MMF) treatment. A comparable study has not been conducted in an adult population.

Objectives

To assess the ability of RAIL to discriminate patients with active LN vs active non-renal SLE and to evaluate if RAIL performance varies by MMF treatment using urine samples from adult LN patients.

Methods

Urine samples were obtained at baseline in two clinical trials: a phase 2 study in adult patients with biopsy-proven active Class III and IV LN (NCT02547922) and a subset of patients from the phase 3 trial in adults with active non-renal SLE (NCT02446912) who had baseline renal BILAG scores C, D, or E. RAIL biomarkers were assayed using single-plex assays. Patient demographics and clinical characteristics were compared between studies. Wilcoxon rank sum test was performed comparing the urinary biomarkers between the two studies and RAIL score was then calculated. Receiver operating characteristic (ROC) analyses were conducted assessing the ability for RAIL scores to distinguish patients with renal activity and involvement.

Results

Comparison of the patient demographic, clinical characteristics, and biomarkers is in the Table 1. Wilcoxon rank sum test showed the six urinary biomarkers were significantly different between two groups of patients as demonstrated (Table 1). Each of the RAIL biomarker concentrations and the creatinine-adjusted median score were higher in the active LN group than the SLE group (P<0.001). ROC analyses including RAIL score showed an area under the ROC curve of 0.8 (Figure 1), with odds ratio of log-transformed RAIL 2.027 (95% CI [1.587, 2.589]). There were no significant interactions between RAIL and MMF. RAIL remained significant after adjusting for estimated glomerular filtration rate (eGFR), which was not statistically significant.

Table 1.

Study Demographics and Biomarkers

VariablesLN study (N=131)SLE study (N=59)Observed NObserved Median (IQR) or %Observed NObserved Median (IQR) or %DemographicsAge13134 (25, 42)5936 (28, 44)Sex, Female10983.21%5593.22%Race, White5642.75%4576.27%Ethnicity, Hispanic or Latino6146.56%915.25%OCS use, yes12797.69%5796.61%MMF use, yes9572.52%2135.59%Spot UPCR (mg/mg)1282.13 (1.22, 4.04)591.11 (0.55, 2.61)eGFR13091.8 (63.1, 125)5998.06 (81.91, 116.54)Non-renal SLEDAI-2K score1304 (4, 6)5912 (9, 13)Renal SLEDAI-2K score1304 (4, 8)590 (0, 0)BiomarkersNGAL (ng/mL)12833.33 (17.55, 56.7)5819.47 (11.37, 42.05)MCP-1 (pg/mL)128658.24 (271.58, 1049.95)58275.62 (106.09, 481.99)Ceruloplasmin (ng/mL)12893.55 (44.5, 311.25)5847.2 (13.05, 231.25)Adiponectin (ng/mL)12842.45 (16.71, 139.64)589.33 (3.35, 25.51)Hemopexin (ng/mL)1281876.8 (745.07, 4743.4)58513.4 (236.36, 1388.74)KIM-1 (pg/mL)1281673.5 (772.5, 2767)58864 (394, 1480)Creatinine (mg/mL)1280.7 (0.46, 1.3)580.99 (0.46, 1.74)Adult RAIL score (creatinine adjusted)1285.59 (4.31, 6.47)583.57 (2.78, 4.47)

eGFR, estimated glomerular filtration rate; IQR, interquartile range; KIM, kidney injury molecule; LN, lupus nephritis; MCP, monocyte chemotactic protein; MMF, mycophenolate mofetil; NGAL, neutrophil gelatinase-associated lipocalin; OCS, oral corticosteroid; SLEDAI-2K, SLE Disease Activity Index 2000; UPCR, urine protein/creatinine ratio.

Conclusion

The analyses performed suggest that creatinine-corrected RAIL discriminates between active LN and non-renal adult SLE, with RAIL scores not influenced by MMF use.

References

[1]Brunner HI. Arthritis Care Res (Hoboken). 2016;68:1003–11.

[2]Gulati G. Lupus. 2017;26:927–36.

Acknowledgements

Writing assistance by Kelly M. Hunter, PhD (Fishawack). This study was sponsored by AstraZeneca.

Disclosure of Interests

Ellen Cody: None declared, Hermine Brunner Speakers bureau: Novartis, Pfizer, GSK, Consultant of: AbbVie, Astra Zeneca-Medimmune, Biogen, Boehringer, Bristol Myers Squibb, Celgene, Lilly,EMD Serono, Idorsia, Cerocor, Janssen, GSK, F. Hoffmann-La Roche, Merck, Novartis, R-Pharm, Sanofi, Grant/research support from: Pfizer, Bin Huang: None declared, Tingting Qiu: None declared, Prasad Devarajan Speakers bureau: Reata, Alnylam, Dicerna, Consultant of: BioPorto Inc, Madhu Ramaswamy Shareholder of: AstraZeneca, Employee of: AstraZeneca, Dominic Sinibaldi Shareholder of: AstraZeneca, Employee of: AstraZeneca, Philip Z Brohawn Shareholder of: AstraZeneca, Employee of: AstraZeneca, Jacob Knagenhjelm Shareholder of: AstraZeneca, Employee of: AstraZeneca, Frederick Jones Shareholder of: AstraZeneca, Employee of: AstraZeneca, Raj Tummala Shareholder of: AstraZeneca, Employee of: AstraZeneca, Catharina Lindholm Employee of: AstraZeneca, Wendy White Shareholder of: AstraZeneca, Employee of: AstraZeneca

LB0002 BARICITINIB IN JUVENILE IDIOPATHIC ARTHRITIS: A PHASE 3, DOUBLE-BLIND, PLACEBO-CONTROLLED, WITHDRAWAL, EFFICACY AND SAFETY STUDY

Background

Baricitinib is a JAK1/2 selective inhibitor approved for the treatment of rheumatoid arthritis. Juvenile idiopathic arthritis (JIA) is a group of diseases characterized by immune mediated chronic arthritis which often requires treatment with conventional synthetic or biologic disease-modifying antirheumatic drugs (cs or b-DMARDs).

Objectives

To investigate baricitinib efficacy and safety in pediatric patients with JIA and an inadequate response to cs or b-DMARDs.

Methods

This Phase 3 multicenter, double-blind, withdrawal, efficacy, and safety study, enrolled patients (pts) age 2 to <18 years with extended oligo- or poly-articular JIA, ERA, or JPsA, per ILAR criteria, and an inadequate response to ≥1 cs and/or b-DMARDs (NCT03773978). There were 3 periods: a 2-week (wk) pharmacokinetic/safety assessment (PKS), a 12-wk open-label lead-in (OLLI), and an up-to 32-wk double-blind withdrawal (DBW). Dosage and safety were confirmed in the PKS and then pts, including those from the PKS, enrolled in the OLLI, receiving age-based, oral, once daily doses of baricitinib. Pts with a JIA-ACR30 response at wk12, end of OLLI, entered the DBW to be randomized 1:1 to continued baricitinib or newly started placebo (PBO) and remained until flare or up to wk32. Primary endpoint was time to flare during the DBW. Secondary endpoints included JIA-ACR30/50/70/90 response rates at wk12, and proportion of pts with a flare during the DBW. Survival curves were estimated using the Kaplan-Meier method.

Results

Of 220 pts enrolled, 29 participated in the PKS, 219 entered the OLLI, and 163 entered the DBW. The JIA-ACR30/50/70/90 response at wk12 was 76.3%/63.5%/46.1%/20.1%, respectively. During the DBW, time of flare was significantly shorter with PBO vs baricitinib (hazard ratio 0.24 [95% CI 0.13,0.45], p<0.001; Figure 1). The proportion of pts with a flare during the DBW was significantly lower for baricitinib vs PBO (14 (17.1%) vs. 41 (50.6%), p<0.001). In the PKS and OLLI periods, 126 (57.3%) pts reported ≥1 treatment emergent adverse event (TEAE), while 6 (2.7%) reported ≥1 serious adverse event (SAE); Table 1. In the DBW, 38 (46.9%) and 54 (65.9%) pts reported ≥1 TEAE for PBO and baricitinib, respectively, whereas those with ≥1 SAE were 3 (3.7%) and 4 (4.9%). The mean wks of exposure was higher in the baricitinib vs PBO group during DBW (26.34 vs 18.91) due to study design. There were no deaths, cardiovascular events or uveitis and 1 case of herpes zoster. Table 1.

Conclusion

Baricitinib significantly reduced time to and frequency of JIA flares in pts with JIA versus PBO, and improved JIA-ACR scores in the majority of pts within 12wks. Safety findings were consistent with the known safety profile in adult rheumatoid arthritis indications. These findings support baricitinib as a treatment for signs and symptoms of JIA with an inadequate response to cs or b-DMARDs.

References

[1]Giannini EH, et. al. Preliminary definition of improvement in juvenile arthritis. Arthritis Rheum 1997; 40: 1202-1209.

[2]Brunner HI, et. al. Preliminary definition of disease flare in juvenile rheumatoid arthritis. J Rheumatol 2002; 29(5):1058-64.

Disclosure of Interests

Athimalaipet Ramanan Consultant of: Eli Lilly and Company, Abbvie, Roche, UCB, Novartis, Pfizer, and Sobi, Grant/research support from: Eli Lilly and Company, Pierre Quartier Consultant of: Eli Lilly and Company, Abbvie, Amgen, BMS, Novartis, Novimmune, Pfizer, Swedish Orphan Biovitrum, SANOFI, Speakers bureau: Abbvie, Novartis, Pfizer, Swedish Orphan Biovitrum, Nami Okamoto Consultant of: Swedish Orphan Biovitrum, Eli Lilly and Company, Speakers bureau: AbbVie, Eli Lilly and Company, Sanofi, Asahi Kasei Medical, Mitsubishi Tanabe Pharma, Bristol Myers Squibb, Pfizer Japan, Ayumi Pharma, Eisai, Torii Pharma, GlaxoSmithKline, Kyorin Pharma, Novartis, Chugai Pharmaceutical, Teijin Pharma, Gabriella Meszaros Employee of: Eli Lilly and Company, Joana Araujo Employee of: Eli Lilly and Company, Zhongkai Wang Employee of: Eli Lilly and Company, Ran Liao Employee of: Eli Lilly and Company, Brenda Crowe Employee of: Eli Lilly and Company, Xin Zhang Employee of: Eli Lilly and Company, Rodney Decker Employee of: Eli Lilly and Company, Stuart Keller Employee of: Eli Lilly and Company, Hermine Brunner Consultant of: AbbVie, Astra Zeneca-Medimmune, Biogen, Boehringer, Bristol-Myers Squibb, Celgene, Eli Lilly, EMD Serono, Idorsia, Cerocor, Janssen, GlaxoSmithKline, F. Hoffmann-La Roche, Merck, Novartis, R-Pharm, Sanofi, Speakers bureau: Novartis, Pfizer, GlaxoSmithKline, Nicolino Ruperto Consultant of: Eli Lilly and Company, Ablynx, Amgen, Astrazeneca-Medimmune, Aurinia, Bayer, Bristol Myers and Squibb, Cambridge Healthcare Research (CHR), Celgene, Domain therapeutic, Eli-Lilly, EMD Serono, Glaxo Smith and Kline, Idorsia, Janssen, Novartis, Pfizer, Sobi, UCB, Speakers bureau: Eli Lilly and Company, Glaxo Smith and Kline, Pfizer, Sobi, UCB

POS1303 METHOTREXATE RESPONSE IN PEDIATRIC NON-INFECTIOUS UVEITIS

Background

Children with chronic non-infectious uveitis (NIU) are at risk for sight-threatening complications. Methotrexate (MTX) is the preferred first-line systemic treatment. Initial therapeutic response takes 3-6 months to achieve NIU control, leading to prolonged glucocorticoid use. Moreover, at least 50-70% of children fail to fully respond and may accrue ocular damage while awaiting MTX response.

Objectives

To identify features of children with NIU that are associated with MTX failure.

Methods

We included children who started MTX monotherapy for NIU. We collected demographics, NIU features (type, location, & complications), ANA status, and clinical examination. We characterized children as MTX responders or non-responders. MTX responders are those whose NIU was controlled, defined by: 1) inactive graded by SUN criteria, 2) absence of new or worsening complications, and 3) requirement for ≤2 drops of prednisolone acetate and no oral glucocorticoids.

Results

Of 47 NIU children, 68% were MTX non-responders (Table 1), having a longer duration of NIU (Odds Ratio [OR]=1.28, [CI=1.03-1.8], p =0.023) and developing more ocular complications (OR=1.95 [CI=1.23-3.38], p=0.017), (ROC Area Under the Curve = 0.85). MTX non-responders were more likely to have anterior and/or posterior synechiae (p = 0.001), cataracts (p=0.015), and ocular hypertension (p=0.039). Treatment included adalimumab: 27, infliximab: 14, tocilizumab: 5, golimumab: 4, etanercept: 3, and abatacept: 2.

Table 1.

Comparison of children with NIU based on MTX response.

Responders n=15Non-responders n=32Caucasian14 (93)27 (84)Hispanic or Latino0 (0)3 (9)Female12 (80)23 (72)Age of NIU onset, yrs, median (IQR)4.3 (2.9 – 12.3)4.6 (2.8 - 7.0)Duration of NIU, yrs, median, (IQR)4.1 (2.6 – 5.3)8.2 (4.7 - 11.3)JIA-NIU10 (67)25 (78)Idiopathic CAU2 (13)3 (9)Other3 (20)4 (12)Bilateral disease12 (80)23 (72)Anterior12 (86)29 (91)Presenting BCVA (LogMAR) worst eye, median (IQR)0.2 (0.1 – 0.3)0.1 (0.0 - 0.2)Average # of total complications/person, median (IQR)1 (0 – 2)2.5 (1.0 – 5.5)ANA positive10 (67)26 (81)Earliest ESR8 (6– 18)12 (8 - 18)Earliest Vitamin D32 (26 – 35)31 (23 - 35)Time on MTX, months, median (IQR)35 (19 - 64)19 (7 - 74)Time from systemic or NIU onset to MTX, yrs, median (IQR)0.3 (0.1 – 0.5)0.2 (0.0 - 0.8)MTX PO6 (40)19 (59)MTX SC13 (87)31 (97)

We performed a sub analysis of children with idiopathic chronic anterior NIU (CAU) and JIA-associated NIU that included children who failed MTX due to intolerance/toxicity (Figure 1). Using Cox proportional hazard regression, 8 idiopathic CAU failed MTX earlier than 38 JIA-associated NIU (HR 2.77, [CI-=1.06-7.27], p=0.039). Results were similar with the inclusion of other types of NIU (p=0.088) (e.g., HLA-B27, non-anterior idiopathic or with systemic disease).

Figure 1.

Kaplan-Meier curve showing freedom from TNFi (mos) stratified by diagnosis

Conclusion

Two out of three children with NIU fail initial MTX monotherapy, exposing them to increased accrual of ocular complications prior to biologic starts. The risk for delay in starting tumor necrosis factor α inhibitors (TNFi) seems higher with CAU. Future studies will examine risk factors that predict MTX response in NIU.

References

[1]McCracken C, Angeles-Han ST, et.al. Timing of infliximab and adalimumab initiation despite methotrexate in children with chronic non-infectious anterior uveitis. Eye (Lond). 2019;33(4):629-39.

[2]Henderson LA, Angeles-Han ST, et.al., Medication use in juvenile uveitis patients enrolled in the Childhood Arthritis and Rheumatology Research Alliance Registry. Pediatr Rheumatol Online J. 2016;14(1):9.

[3]Cooper A, et.al., Failure of methotrexate monotherapy and subsequent response to tumor necrosis factor inhibitors in pediatric non-infectious uveitis (abstract). Arthritis Rheumatol. 2020:72 (suppl 4).

Disclosure of Interests

Sheila Angeles-Han: None declared, Amy Cassedy: None declared, Theresa Hennard: None declared, Mekibib Altaye: None declared, Hermine Brunner Consultant of: Dr. Brunner’s affiliation Cincinnati Children’s Hospital Medical Center has received consulting fees or other remuneration from AstraZeneca, Boehringer Ingelheim, GSK, Roche, Novartis, Pfizer Inc, Takeda, and UBC for the work of Dr. Brunner. Dr. Brunner is a DSMB member for Janssen Pharmaceutical’s trial of ustekinumab pediatric Crohn and Ulcerative colitis., Grant/research support from: Dr. Brunner’s affiliation Cincinnati Children’s Hospital Medical Center has received research grants from BMS, Janssen, Novartis, Pfizer Inc, Roche, and UBC., Eniolami Dosunmu: None declared, Alexei Grom: None declared, Michael Henrickson: None declared, Jennifer Huggins: None declared, Sarah Lopper: None declared, Daniel J Lovell Consultant of: AstraZeneca, Boehringer Ingelheim, GSK, Roche, Novartis, Pfizer Inc, Takeda, and UBC, Grant/research support from: BMS, Janssen, Novartis, Pfizer Inc, Roche, and UBC, Robert Sisk Consultant of: AGTC, Gyroscope, and Leica, Tracy Ting: None declared, Adam Kaufman Consultant of: Consultant for Alcon, Bausch & Lomb, and 1800contacts, not related or relevant to study content., Virginia Utz: None declared

POS0340 PREDICTORS OF CLINICAL RESPONSE TO ABATACEPT IN CHILDREN WITH POLYARTICULAR JUVENILE IDIOPATHIC ARTHRITIS

Background

For children with polyarticular juvenile idiopathic arthritis (pJIA) and inadequate response or intolerance to initial treatment with MTX, treatment options include abatacept.1 Abatacept, a selective T-cell co-stimulation modulator, has a distinct mechanism of action from other current treatments for rheumatic diseases,2 and factors predicting clinical response can help determine optimal treatment strategy. Two phase 3 studies demonstrated the efficacy and safety of IV and SC abatacept in patients with pJIA and an inadequate response to other DMARDs.2,3

Objectives

To determine baseline and post-baseline factors that may predict a clinical response in children and adolescents with pJIA treated with abatacept for 2 years.

Methods

Baseline demographic and disease characteristics and post-baseline factors (50% and 70% improvement in ACR criteria [ACR50, ACR70] at days 57 and 85) were analyzed using data from 2 phase 3 studies of abatacept in patients with JIA aged 2–17 years (SC administration) and 6–17 years (IV administration). Efficacy endpoints were Juvenile Arthritis Disease Activity Score in 10 joints based on CRP (JADAS10-CRP) inactive disease (ID; score of ≤ 2.7),4 and remission, defined as 6 consecutive months of post-baseline JADAS10-CRP ID. Data were analyzed over the entire 2-year study period. The earliest time point at which patients achieved these outcomes was reported. The aforementioned study factors were subjected to a time-to-event analysis, including Cox proportional hazards univariate regression analysis and Cox proportional hazards multivariate regression analysis using stepwise regression; results of the multivariate analysis are reported. Kaplan–Meier analysis was used to estimate time to achieve clinical response. Receiver operating characteristic curves were used to determine threshold values for continuous variables.

Results

Overall, 347 patients were included in the analysis (SC, n = 219; IV, n = 128; 73.8% female; mean [SD] age, 11.3 [4.0] years). Following abatacept treatment, both time to JADAS10-CRP ID and time to JADAS10-CRP remission were predicted (nominal P ≤ 0.05) by age (≤ 11 years: hazard ratio [HR], 1.52 [95% CI, 1.14–2.02] and ≤ 10 years: HR, 1.73 [95% CI, 1.20–2.48], respectively), high-sensitivity CRP (hsCRP; ≤ 0.6 mg/dL: HR, 1.67 [95% CI, 1.22–2.28] and ≤ 0.21 mg/dL: HR, 1.67 [95% CI, 1.15–2.42], respectively), Parent/Patient Global Assessment of well-being (≤ 35.86: HR, 1.88 [95% CI, 1.41–2.51] and ≤ 43.16: HR, 2.05 [95% CI, 1.35–3.10], respectively), and Childhood HAQ-DI (CHAQ-DI; ≤ 1.63: HR, 2.23 [95% CI, 1.47–3.39] and ≤ 0.75: HR, 1.84 [95% CI, 1.24–2.73], respectively) (remission data shown in Figure 1). Disease duration ≤ 2 years from baseline (HR, 1.66 [95% CI, 1.25–2.21]) and SC route of administration (HR, 2.05 [95% CI, 1.45–2.91]) also predicted ID. Among the post-baseline factors, ACR50 at days 57 and 85 predicted both ID (HR, 1.57 [95% CI, 1.04–2.36] and HR, 1.88 [95% CI, 1.41–2.51], respectively) and remission (HR, 1.96 [95% CI, 1.11–3.45] and HR, 3.05 [95% CI, 1.47–6.34], respectively); ACR70 at day 57 also predicted ID (data not shown). Patients with predictive factors for age, hsCRP, Parent/Patient Global Assessment of well-being, and CHAQ-DI, and with lower disease activity achieved ID and/or remission earlier than patients with high disease activity.

Conclusion

We identified baseline and post-baseline factors that predicted JADAS10-CRP ID and remission in patients with pJIA treated with abatacept for 2 years. Screening of abatacept-treated patients with pJIA for such factors may help predict earlier achievement of ID and/or remission.

References

[1]Ringold S, et al. Arthritis Rheumatol 2019;71:846–63.

[2]Brunner HI, et al. Arthritis Rheumatol 2018;70:1144–54.

[3]Ruperto N, et al. Lancet 2008;372:383–91.

[4]Trincianti C, et al. Arthritis Rheumatol 2021;73:1966–75.

Acknowledgements

This study was sponsored by Bristol Myers Squibb. Writing and editorial assistance were provided by Candice Judith Dcosta, MSc, of Caudex, funded by Bristol Myers Squibb. We would like to acknowledge Mara Becker, Duke Clinical Research Institute, Durham, NC, USA, for her contribution to the study analysis.

Disclosure of Interests

Nicolino Ruperto Speakers bureau: Honoraria for consultancies or speaker bureaus from the following pharmaceutical companies in the past 3 years: 2 Bridge, Amgen, AstraZeneca, Aurinia, Bayer, Brystol Myers Squibb, Cambridge Healthcare Research, Celgene, Domain Therapeutic, Eli Lilly, EMD Serono, GlaxoSmithKline, Idorsia, inMed, Janssen, Novartis, Pfizer, Sobi, UCB, Consultant of: Honoraria for consultancies or speaker bureaus from the following pharmaceutical companies in the past 3 years: 2 Bridge, Amgen, AstraZeneca, Aurinia, Bayer, Brystol Myers Squibb, Cambridge Healthcare Research, Celgene, Domain Therapeutic, Eli Lilly, EMD Serono, GlaxoSmithKline, Idorsia, inMed, Janssen, Novartis, Pfizer, Sobi, UCB, Hermine Brunner Speakers bureau: GlaxoSmithKline, Novartis, Pfizer, Consultant of: AbbVie, AstraZeneca-Medimmune, Biogen, Boehringer, Bristol Myers Squibb, Celgene, Cerocor, Eli Lilly, EMD Serono, F. Hoffmann-La Roche, GlaxoSmithKline, Idorsia, Janssen, Merck, Novartis, R-Pharm, Sanofi, Grant/research support from: The Cincinnati Children’s Hospital, where HIB works as a full-time public employee, has received contributions from the following industries in the past 3 years: Bristol Myers Squibb, F. Hoffmann-La Roche, Janssen, Novartis, and Pfizer. This funding has been reinvested for the research activities of the hospital in a fully independent manner, without any commitment to third parties, Alberto Berman Grant/research support from: AbbVie, Amgen, Bristol Myers Squibb, Lilly, Novartis, Pfizer, Roche, Francisco Avila Zapata: None declared, Gerd Horneff Speakers bureau: AbbVie, Chugai, Janssen, Novartis, Pfizer, Grant/research support from: AbbVie, Chugai, MSD, Novartis, Pfizer, Roche, Linda Wagner-Weiner Grant/research support from: Abbott, Bristol Myers Squibb, Merck, Pfizer, UCB, Alexander Belot Speakers bureau: Chugai, GlaxoSmithKline, Novartis, Roche (punctual scientific intervention), Grant/research support from: Boehringer Ingelheim, Merck (joint research project), Ruben Burgos-Vargas: None declared, Maria Luz Gámir Gámir: None declared, Claudia Goldenstein-Schainberg Speakers bureau: AbbVie, Janssen, Novartis, Consultant of: AbbVie, Janssen, Novartis, Maria T. Terreri: None declared, Margarita Askelson Consultant of: Acerta Pharma, Bristol Myers Squibb, Employee of: Bristol Myers Squibb, Robert Wong Shareholder of: Bristol Myers Squibb, Employee of: Bristol Myers Squibb, Alberto Martini Consultant of: AbbVie, Eli Lilly, EMD Serono, Idorsia, Janssen, Novartis, Pfizer, Daniel J Lovell Consultant of: AstraZeneca, Boehringer Ingelheim, GlaxoSmithKline, Hoffman LaRoche, Novartis, UBC (all contracts with employer, CCHMC), Grant/research support from: Bristol Myers Squibb, Janssen, Pfizer, Roche (all contracts with employer, CCHMC); NIH grants: NIAMS, NICHD

Social determinants of health influence disease activity and functional disability in Polyarticular Juvenile Idiopathic Arthritis

BACKGROUND

Social determinants of health (SDH) greatly influence outcomes during the first year of treatment in rheumatoid arthritis, a disease similar to polyarticular juvenile idiopathic arthritis (pJIA). We investigated the correlation of community poverty level and other SDH with the persistence of moderate to severe disease activity and functional disability over the first year of treatment in pJIA patients enrolled in the Childhood Arthritis and Rheumatology Research Alliance Registry.

METHODS

In this cohort study, unadjusted and adjusted generalized linear mixed effects models analyzed the effect of community poverty and other SDH on disease activity, using the clinical Juvenile Arthritis Disease Activity Score-10, and disability, using the Child Health Assessment Questionnaire, measured at baseline, 6, and 12 months.

RESULTS

One thousand six hundred eighty-four patients were identified. High community poverty (≥20% living below the federal poverty level) was associated with increased odds of functional disability (OR 1.82, 95% CI 1.28-2.60) but was not statistically significant after adjustment (aOR 1.23, 95% CI 0.81-1.86) and was not associated with increased disease activity. Non-white race/ethnicity was associated with higher disease activity (aOR 2.48, 95% CI: 1.41-4.36). Lower self-reported household income was associated with higher disease activity and persistent functional disability. Public insurance (aOR 1.56, 95% CI 1.06-2.29) and low family education (aOR 1.89, 95% CI 1.14-3.12) was associated with persistent functional disability.

CONCLUSION

High community poverty level was associated with persistent functional disability in unadjusted analysis but not with persistent moderate to high disease activity. Race/ethnicity and other SDH were associated with persistent disease activity and functional disability.

P–381 Deciphering the genetic cause of recurrent and sporadic pregnancy loss

Study question

To investigate the prevalence and effect of (mosaic) de novo genomic aberrations in recurrent pregnancy loss (RPL) and sporadic abortion (SA).

Summary answer

Prevalence of maternal uniparental disomies (UPDs) was high in both cohorts. While chromosomal UPDs were found in both cohorts, genome wide UPDs were RPL specific.

What is known already

Spontaneous abortion occurs in 10–15% of clinically recognized pregnancies and recurrent pregnancy loss in 1–3%. SA and RPL are associated with reduced quality of life. Multiple factors contribute to SA and RPL, such as uterine malformations and parental/fetal chromosomal abnormalities. However, in ∼60% of SA and RPL the cause remains unknown. UPD is defined as the presence of two homologues chromosomes originating from a single parent. This phenomenon can lead to imprinting disorders that are characterised by clinical features affecting growth, development and metabolism in liveborn offspring. However, it could also be responsible for pregnancy loss.

Study design, size, duration

We recruited 32 families with pregnancy loss (n = 16 RPL cohort, n = 16 SA cohort) with no known genetic predispositions and normal karyotyping results in both parents and the fetus. Average maternal age was 28.68 years (SD = 5.43), paternal age 30.3 years (SD = 5.53), and the gestational age at pregnancy loss was 8.65 weeks (SD = 2.47). The average number of miscarriages in the RPL group was 3.57 (SD = 0.84). We profiled the genomic landscape of both cohorts using SNP typing.

Participants/materials, setting, methods

We isolated DNA from blood of both parents and the placental tissues from the miscarried products of conception. The placenta tissues were sampled from two distinct extraembryonic and embryonic germ layers, the extraembryonic mesoderm and the chorionic villi cytotrophoblast. Subsequently, we performed SNP-genotyping using Illumina’s Global-Screening Array–24 v2.0 BeadChips and applied haplarithmisis to delineate allelic architecture of fetal tissues of both cohorts. This allowed us to detect large de novo copy-number and -neutral (&gt;10kb) changes.

Main results and the role of chance

In this pilot study, we have analyzed 132 DNA samples (n = 32 families), of which 16 families were in the RPL cohort and 16 in the SA cohort. Within the RPL cohort, we found: one family with mosaic genome wide hexaploidy both in the extraembryonic mesoderm and chorionic villi, one family with a non-mosaic genome wide hetero UPD of the chorionic villi tissue, one family with a mosaic UPD of chromosome 14 in both tissues and tetraploidy exclusively in the chorionic villi, one family with a mosaic UPD of chromosome 16 in both tissues, one family with a mosaic UPD of chromosome 6 in both tissues, and another family with a mosaic UPD of chromosome 5 in the extraembryonic mesoderm. Within the SA group, one family showed a UPD of chromosome 7 and another family showed a segmental UPD of chromosome 5 in both tissues. Strikingly, all the UPDs found in this study were maternal in origin.

Limitations, reasons for caution

The main limitation of this study is the resolution of detecting copy-neutral and copy-number variations, which is an inherent limiting factor of SNP-array technology. In addition, in the sample in which we observed non-mosaic genome wide UPD, maternal contamination is likely that can be investigated by other technologies.

Wider implications of the findings: Multiple genome wide UPDs are found in the RPL group but none in the SA group, indicating an association between genome wide mosaic UPD and RPL. These findings could lead to a better understanding of causative factors for SA and RPL and the need for a SNP-based non-invasive prenatal testing.

Trial registration number

Not applicable

O-074 No methylome differences observed in IVF children born after embryo culture in different culture media

Study question

Does human embryo culture in different IVF culture media lead to DNA methylation alterations in IVF offspring?

Summary answer

Genome-wide analyses identified no significant DNA methylation differences between culture medium groups in IVF children (neonates or 9-year olds) from two culture media studies.

What is known already

During in vitro fertilisation (IVF) treatments, embryos undergo preimplantation development in an artificial environment, while concurrently undergoing epigenetic reprogramming. Adversity during this period, such as peri-conception calorie restriction, has been linked to persistent DNA methylation aberrations and increased risk of cardiometabolic disease. Early environmental adversity is suspected in IVF offspring as they are born with lower birthweights and show increased risk of cardiometabolic dysfunction in adulthood as compared to their naturally-conceived counterparts. This is further supported by the observation from two culture media trials (MEDIUM0 and MEDIUM1) that embryo culture in different culture media leads to differences in birthweight.

Study design, size, duration

We recruited singleton offspring from two IVF culture media trials. The MEDIUM0 study, a pseudo-randomized trial comparing G3 (Vitrolife) and K-SICM (Cook), was conducted from 2003-2006. At the 9-year follow-up, saliva was collected (cohort-A). The MEDIUM1 study, a multi-center randomized controlled trial comparing G5 (Vitrolife) and HTF (Lonza), was conducted from 2010-2012. Umbilical cord blood (UCB) was collected at birth (cohort-B).

Participants/materials, setting, methods

DNA methylation was analysed in 120 saliva samples (65 G3, 55 Cook) and 106 UCB samples (47 HTF, 59 G5) using the Infinium MethylationEPIC array (Illumina). Mixed effects linear models, correcting for (gestational) age, sex, sample composition and batch effects alongside maternal age, pregnancy complications and IVF centre for cohort-B, were implemented at single or aggregated sites. Methylation outliers were defined as values over three interquartile ranges below or above 25th and 75th percentiles respectively.

Main results and the role of chance

111 of the 120 saliva samples (60 G3, 51 Cook) and 105 of the 106 UCB samples (47 HTF, 58 G5) passed our quality control criteria. We filtered sites on sex chromosomes, and based on quality, proximity to single-nucleotide polymorphisms, and proportion of missing values, leaving 650,000-700,000 of the 850,000 sites included on the EPIC array for our analyses. To account for heterogeneity in the cellular composition of our samples we estimated their cell compositions using a reference-based approach. First, we investigated individual CpG sites, finding no differentially methylated sites in either cohort after correction for multiple testing (false discovery rate adjusted p. value threshold &lt; 0.1). Sites were then aggregated into regions based on their allocations to genes, promoters and CpG islands. No differentially methylated regions were identified in either cohort. A targeted analysis of DNA methylation of imprinting genes showed no differentially methylated sites or regions. To examine the contribution of stochastic epigenetic alterations we quantified the number of methylation outliers per sample. Although this revealed a predominance of hypomethylation outliers, there was no difference in the total number or distribution of DNA methylation outliers between the two culture media groups of cohort-A and cohort-B.

Limitations, reasons for caution

This analysis is currently limited by the lack of comparison to a naturally-conceived control group. As such, we cannot yet conclude whether IVF embryo culture, in any medium, is associated with DNA methylation aberrations. Additionally, given the large number of comparisons, we may lack power to detect small differences.

Wider implications of the findings

Although there are disparities in birth weight and childhood growth after embryo culture in different media, we observed no DNA methylation alterations preserved postnatally. Whether DNA methylation of these individuals deviates from that of naturally-conceived individuals will be determined in the near future.

Trial registration number

MEDIUM1: NTR 1979 /NL1866 (Netherlands Trial Registry)

LB0004 EFFICACY AND SAFETY OF SECUKINUMAB IN ENTHESITIS-RELATED ARTHRITIS AND JUVENILE PSORIATIC ARTHRITIS: PRIMARY RESULTS FROM A RANDOMISED, DOUBLE-BLIND, PLACEBO-CONTROLLED, TREATMENT WITHDRAWAL, PHASE 3 STUDY (JUNIPERA)

Background:

Enthesitis-related arthritis (ERA) and juvenile psoriatic arthritis (JPsA) are two ILAR categories of juvenile idiopathic arthritis (JIA) and represent paediatric correlates of axial spondyloarthritis (axSpA) and adult psoriatic arthritis (PsA), respectively.1,2 Secukinumab (SEC) has demonstrated efficacy and safety in adult patients (pts) with PsA, ankylosing spondylitis and non-radiographic axSpA.3-5

Objectives:

Evaluate efficacy and safety of SEC using a flare prevention design in pts with active ERA and JPsA.

Methods:

This 2-yr study consisted of an open-label (OL) s.c. SEC (75/150 mg in pts <50/ ≥50 kg) at baseline (BL), and at Weeks (Wk) 1, 2, 3, 4, 8 and 12 in treatment-period (TP) 1. Responder pts who achieved at least JIA ACR 30 response at Wk 12 were randomised into the double-blinded TP2 to continue SEC or placebo (PBO) q4w until a disease flare, or up to Wk 100. Pts (aged 2 to <18 yrs) classified as ERA or JPsA according to ILAR criteria of ≥6 months duration with active disease were included. Primary endpoint was time to flare in TP2 and key secondary endpoints were JIA ACR 30/50/70/90/100, inactive disease, JADAS, enthesitis count and safety. Analysis of time to flare in TP2 included proportion of disease flare, Kaplan-Meier (KM) estimate of median time to flare in days, hazard ratio (95% CI) from Cox model, and P-value for the Stratified log-rank test. KM estimates of the probability to disease flare by treatment groups in TP2 were plotted against days. Observed data were used in all analyses. Post-hoc analyses using non-responder imputation (NRI) were performed for JIA ACR 30/50/70/90/100 responses.

Results:

86/97 (89%) pts were enrolled in the OL period TP1 (mean age, 13.1 yrs; female, 33.7%; ERA, n=52; JPsA, n=34). At BL, mean JADAS-27 score was 15.1 and enthesitis count was 2.6. At the end of TP1, 90.4% (75/83) of pts achieved JIA ACR 30 and 69.9% (58/83) achieved JIA ACR 70. There were 21 and 10 flares in TP2, respectively in PBO and SEC treated pts with a significantly longer time to flare and 72% risk of flare reduction in SEC treatment vs PBO (HR: 0.28; 95% CI: 0.13–0.63; P<0.001) (Figure 1). JIA ACR responses, disease activity and enthesitis count are reported in Table 1. NRI analyses showed that 87.2%, 83.7%, 67.4%, 38.4% and 24.4% of pts achieved JIA ACR 30/50/70/90/100, respectively. Rates of adverse events (AEs; 91.7% vs 92.1%) and serious AEs (14.6% vs 10.5%) in SEC and PBO groups were comparable in the entire TP. No new safety signals were observed.

Table 1.

Efficacy of secukinumab in Treatment Periods 1 and 2 (Key secondary endpoints)

Efficacy Outcomes, %TP1TP2¥SEC (N=83)^SEC (N=37)PBO (N=37)P-valueJIA ACR 3090.489.264.90.014JIA ACR 5086.778.462.20.152JIA ACR 7069.967.643.20.042JIA ACR 9039.851.440.50.431JIA ACR 10025.343.237.80.745Inactive disease#36.147.237.80.500JADAS-27, mean (SD)15.1 (7.2)14.6 (8.1)13.3 (5.8)NAEnthesitis count, mean change from BL (SD)−1.8 (2.3)−2.1 (2.0)−1.9 (1.2)NA

P-values: Cochran-Mantel-Haenszel test, adjusted for analysis factors: JIA category (ERA/ JPsA) and MTX use at BL

¥The N numbers are values at the end of TP2

^Efficacy outcomes (%) in TP1 calculated in patients with evaluable data at Wk 12 (N=83)

#Inactive disease: Definition adapted from JIA ACR criteria of Wallace et al., 2011. N=36 for SEC at the end of TP2

JADAS, Juvenile Arthritis Disease Activity Score; N, total number of patients in the treatment group; NA, data not available

Figure 1.

Time to flare in Treatment Period 2 (Primary Endpoint)

Conclusion:

In children and adolescents with ERA and JPsA, efficacy of SEC was demonstrated with a significantly longer time to flare vs PBO with sustained improvement of signs and symptoms up to Wk 104 and a favourable safety profile.

References:

[1]Colbert RA. Nat Rev Rheumatol. 2010;6:477–85.

[2]Martini A, et al. J Rheumatol. 2019;46:190–7.

[3]McInnes IB, et al. Lancet. 2015;386:1137–46.

[4]Baeten D, et al. N Engl J Med. 2015;373:2534–48.

[5]Deodhar A, et al. Arthritis Rheumatol. 2021;73:110–20.

Disclosure of Interests:

Nicolino Ruperto Consultant of: Ablynx, Astrazeneca-Medimmune, Bayer, Biogen, Boehringer, Bristol Myers and Squibb, Celgene, Eli-Lilly, EMD Serono, Glaxo Smith and Kline, Hoffmann-La Roche, Janssen, Merck, Novartis, Pfizer, R-Pharma, Sinergie, Sobi and UCB, Grant/research support from: BMS, Eli-Lilly, GlaxoSmithKline, F Hoffmann-La Roche, Janssen, Novartis, Pfizer, Sobi, Speakers bureau: Ablynx, Astrazeneca-Medimmune, Bayer, Biogen, Boehringer, Bristol Myers and Squibb, Celgene, Eli-Lilly, EMD Serono, Glaxo Smith and Kline, Hoffmann-La Roche, Janssen, Merck, Novartis, Pfizer, R-Pharma, Sinergie, Sobi and UCB, Ivan Foeldvari Consultant of: Novartis, Speakers bureau: Novartis, Ekaterina Alexeeva Grant/research support from: Novartis, Pfizer, Sanofi, MSD, AMGEN, Eli Lilly, Roche, Speakers bureau: Novartis, Pfizer, Sanofi, MSD, AMGEN, Eli Lilly, Roche, NURAY AKTAY AYAZ: None declared, Inmaculada Calvo Consultant of: Sobi, Novartis, Abbvie, GlaxoSmithKline, Pfizer, Amgen, Clementia, Speakers bureau: Sobi, Novartis, Abbvie, GlaxoSmithKline, Pfizer, Amgen, Clementia, Ozgur KASAPCOPUR: None declared, Vyacheslav Chasnyk: None declared, Markus Hufnagel Grant/research support from: Astellas, F. Hoffmann-La Roche, Novartis, Zbigniew Żuber: None declared, Grant Schulert Consultant of: Sobi, Novartis, Seza Ozen: None declared, Artem Popov: None declared, Athimalaipet Ramanan Speakers bureau: Roche, Sobi, Eli Lilly, UCB, Novartis, Christiaan Scott: None declared, Betül Sözeri: None declared, Elena Zholobova Grant/research support from: Pfizer, Novartis, Speakers bureau: Abbvie, Pfizer, Roche, Novartis, Xuan Zhu Employee of: Novartis, sarah whelan Employee of: Novartis, Shareholder of: Novartis, Luminita Pricop Employee of: Novartis, Shareholder of: Novartis, Angelo Ravelli Consultant of: Abbvie, Bristol-Myers Squibb, Pfizer, Hoffmann-LaRoche, Novartis, Centocor, Angelini Holding, Reckitt Benckiser, Speakers bureau: Abbvie, Bristol-Myers Squibb, Pfizer, Hoffmann-LaRoche, Novartis, Centocor, Angelini Holding, Reckitt Benckiser, Alberto Martini Consultant of: Eli Lilly, EMD Serono, Janssen, Novartis, Pfizer, Abbvie, Speakers bureau: Eli Lilly, EMD Serono, Janssen, Novartis, Pfizer, Abbvie, Daniel J Lovell Consultant of: AstraZeneca, Wyeth, Amgen, Abbott, Pfizer, Hoffmann-La Roche, Novartis, UBC, Takeda, Janssen, GlaxoSmithKline, Boehringer Ingelheim, Celgene, Bristol Myers Squibb, AbbVie, Forest Research, Speakers bureau: AstraZeneca, Wyeth, Amgen, Abbott, Pfizer, Hoffmann-La Roche, Novartis, UBC, Takeda, Janssen, GlaxoSmithKline, Boehringer Ingelheim, Celgene, Bristol Myers Squibb, AbbVie, Forest Research, Hermine Brunner Consultant of: Aurina, AbbVie, Astra Zeneca-Medimmune, Biogen, Boehringer, Bristol-Myers Squibb, Celgene, Eli Lilly, EMD Serono, GlaxoSmithKline, F. Hoffmann-La Roche, Merck, Novartis, R-Pharm, Sanofi, Pfizer, Grant/research support from: Bristol-Myers Squibb, Eli Lilly, GlaxoSmithKline, F. Hoffmann-La Roche, Janssen, Novartis, and Pfizer, Speakers bureau: Pfizer, Roche and GlaxoSmithKline

POS0076 S100A8/A9 AND S100A12 AS POTENTIAL PREDICTIVE BIOMARKERS OF ABATACEPT RESPONSE IN POLYARTICULAR JUVENILE IDIOPATHIC ARTHRITIS

Background:

The calcium-binding proteins S100A8/A9 (calprotectin) and S100A12 (extracellular newly identified receptor for advanced glycation end-products binding protein [EN-RAGE]) are involved in multiple signalling pathways to mediate inflammation, can be secreted by activated monocytes/macrophages and exhibit cytokine-like extracellular functions. Circulating levels of these proteins have been associated with disease and clinical responses in systemic juvenile idiopathic arthritis (sJIA), including treatment response.1 Studies suggest that serum S100A8/A9 and S100A12, which are released at inflammation sites, are more specific biomarkers of local inflammation (e.g. in the synovium) than systemic biomarkers such as CRP and ESR.2,3

Objectives:

To investigate if baseline S100A8/A9 and S100A12 predict clinical response to abatacept treatment in polyarticular JIA (pJIA), and to assess whether changes from baseline in S100A8/A9 or S100A12 can be better prognostic markers for response to abatacept treatment than CRP in pJIA.

Methods:

Data are from a phase III trial of SC abatacept for the treatment of pJIA (NCT01844518).4 This 24-month, single-arm, open-label, international, multicentre, two-part study included male and female patients with pJIA aged 2–17 years. This analysis examined the correlation between biomarkers (S100A8/A9, S100A12 and high-sensitivity CRP [hsCRP]) and disease activity (measured using Juvenile Arthritis Disease Activity Score [JADAS]) at baseline, baseline biomarker values as predictors of future treatment response (ACR and JADAS endpoints), and the correlation between change from baseline in biomarker values and treatment response at Day 113.

Results:

Of 219 total patients, 158 (72%) had S100A8/A9 values and 155 (71%) had S100A12 values at baseline. Median S100A8/A9 and S100A12 values were 3295 ng/mL (normal range, 716–3004 ng/mL) and 176 ng/mL (normal range, 32–385 ng/mL), respectively. S100A8/A9, S100A12 and hsCRP (median 0.20 mg/dL; normal ≤0.6 mg/dL) had a low-to-moderate but significant association with disease activity at baseline; coefficients for associations between JADAS71-CRP low disease activity (LDA) and the biomarkers S100A8/A9, S100A12 and hsCRP were 0.23 (p=0.0038), 0.16 (p=0.0448) and 0.26 (p=0.0001), respectively. Baseline S100A8/A9 level above the median was associated with lower odds of ACR100 at Day 113 (p=0.0052). Figure 1 shows the associations of baseline biomarker values with Day 113 ACR and JADAS scores in the overall population. Baseline S100A8/A9 or S100A12 did not significantly influence ACR50 or ACR70 responses at Day 113, but high baseline values were associated with reduced odds of ACR90 (p=0.01), ACR100 (p=0.005), ACR-inactive disease (ID) (p=0.0001), and JADAS71-CRP (LDA) (p=0.02). By Day 477, elevated baseline S100A12 was still significantly associated with lower odds of ACR100 overall (0.467; p=0.0248) but baseline S100A8/A9 was not; at Day 645, neither was significantly associated with ACR100 response. At Day 113, changes from baseline in S100A8/A9 and S100A12 were correlated with ACR100 (coefficients of 0.22 [p=0.0082] and 0.26 [p=0.0015], respectively) and with ACR-ID (0.22 [p=0.0067] and 0.26 [p=0.0014], respectively); change in hsCRP was not significantly correlated with disease response.

Conclusion:

S100A8/A9 and S100A12 may serve as prognostic biomarkers to predict response to abatacept treatment at Day 113. Changes from baseline S100A8/A9 and S100A12 levels were more highly correlated with efficacy outcomes including ACR100 and ACR-ID at Day 113 compared with hsCRP.

References:

[1]Aljaberi N, et al. Pediatr Rheumatol Online J 2020;18:7.

[2]Hammer H, et al. Arthritis Res Ther 2011;13:R178.

[3]Nordal HH, et al. BMC Musculoskelet Disord 2014;15:335.

[4]Brunner H, et al. Arthritis Rheumatol 2018;70:1144–1154.

Acknowledgements:

Professional medical writing and editorial assistance was provided by Rob Coover, MPH, at Caudex and was funded by Bristol Myers Squibb.

Disclosure of Interests:

Nicolino Ruperto Speakers bureau: NR has received honoraria for consultancies or speaker bureaus (< 10.000 USD each) from the following pharmaceutical companies in the past 3 years: Ablynx, Astrazeneca-Medimmune, Bayer, Biogen, Boehringer, Bristol Myers Squibb, Celgene, Eli Lilly, EMD Serono, GlaxoSmithKline, Hoffmann-La Roche, Janssen, Merck, Novartis, Pfizer, R-Pharma, Sinergie, Sobi and UCB, Consultant of: NR has received honoraria for consultancies or speaker bureaus (< 10.000 USD each) from the following pharmaceutical companies in the past 3 years: Ablynx, Astrazeneca-Medimmune, Bayer, Biogen, Boehringer, Bristol Myers Squibb, Celgene, Eli Lilly, EMD Serono, GlaxoSmithKline, Hoffmann-La Roche, Janssen, Merck, Novartis, Pfizer, R-Pharma, Sinergie, Sobi and UCB, Grant/research support from: The IRCCS Istituto Giannina Gaslini (IGG), where NR works as full-time public employee has received contributions (>10.000 USD each) from the following industries in the last 3 years: Bristol Myers Squibb, Eli Lilly, F Hoffmann-La Roche, GlaxoSmithKline, Janssen, Novartis, Pfizer, Sobi. This funding has been reinvested for the research activities of the hospital in a fully independent manner, without any commitment with third parties., Grant Schulert Speakers bureau: Novartis, Consultant of: SOBI, Alyssa Sproles: None declared, Sherry Thornton: None declared, Gabriel Vega Cornejo Speakers bureau: AbbVie, Grant/research support from: Bristol Myers Squibb, Eli Lilly, Janssen, Parexel, Sanofi, Jordi Anton Speakers bureau: AbbVie, Gebro, GlaxoSmithKline, Novartis, Pfizer, Roche, Sobi, Consultant of: AbbVie, Gebro, GlaxoSmithKline, Novartis, Pfizer, Roche, Sobi, Grant/research support from: AbbVie, Amgen, Gebro, GlaxoSmithKline, Lilly, Novartis, Novimmune, Pfizer, Roche, Sanofi, Sobi, Ruben Cuttica Speakers bureau: AbbVie, Bristol Myers Squibb, GlaxoSmithKline, Lilly, Novartis, Pfizer, Roche, UCB, Paid instructor for: AbbVie, Novartis, Pfizer, Roche, Consultant of: AbbVie, Bristol Myers Squibb, GlaxoSmithKline, Lilly, Novartis, Pfizer, Roche, UCB, Michael Henrickson: None declared, Ivan Foeldvari Consultant of: Bristol Myers Squibb, Gilead, Hexal, MEDAC, Novartis, Pfizer, Sanofi, Daniel Kingsbury Consultant of: Pfizer, Margarita Askelson Consultant of: Currently working for Syneos Health providing services to Bristol Myers Squibb, Jinqi Liu Shareholder of: Bristol Myers Squibb, Employee of: Bristol Myers Squibb, Sumanta Mukherjee Shareholder of: Bristol Myers Squibb, GlaxoSmithKline, Employee of: Bristol Myers Squibb, GlaxoSmithKline, Robert Wong Shareholder of: Bristol Myers Squibb, Employee of: Bristol Myers Squibb, Daniel J Lovell Speakers bureau: Genentech, Wyeth Pharm, Consultant of: Abbott, Amgen, AstraZeneca, Boehringer Ingelheim, Celgene, GlaxoSmithKline, Hoffman-La Roche, Novartis, Pfizer, Regeneron, Takeda, UBC, Wyeth Pharma, Xoma, Alberto Martini Speakers bureau: AbbVie, Novartis, Consultant of: AbbVie, Eli Lilly, EMD Serono, Idorsia, Janssen, Novartis, Pfizer, Alexei Grom Consultant of: AB2Bio, Novartis, Sobi (NovImmune), Grant/research support from: AB2Bio, Novartis, Sobi (NovImmune), Hermine Brunner Speakers bureau: GlaxoSmithKline, Novartis, Pfizer, Roche, Paid instructor for: Novartis, Pfizer (funds go to CCHMC/employer), Consultant of: Boehringer Ingelheim, Bristol Myers Squibb, GlaxoSmithKline, Janssen, Merck, Novartis, Pfizer, Roche, UCB (funds go to CCHMC/employer), Grant/research support from: Bristol Myers Squibb, Pfizer (funds go to CCHMC/employer).

OP0291 TOFACITINIB FOR THE TREATMENT OF POLYARTICULAR COURSE JUVENILE IDIOPATHIC ARTHRITIS: RESULTS OF A PHASE 3, RANDOMISED, DOUBLE-BLIND, PLACEBO-CONTROLLED WITHDRAWAL STUDY

Background:

Tofacitinib is an oral JAK inhibitor that is being investigated for JIA.

Objectives:

To assess tofacitinib efficacy and safety in JIA patients (pts).

Methods:

This was a Phase 3, randomised, double-blind (DB), placebo (PBO)-controlled withdrawal study in pts aged 2−<18 years with polyarticular course JIA (pcJIA), PsA or ERA (NCT02592434). In the 18-week open-label Part 1, pts received weight-based tofacitinib doses (5 mg BID or lower). Pts with ≥JIA ACR30 response at Week (W)18 were randomised 1:1 in the DB Part 2 (W18−44) to continue tofacitinib or switch to PBO. Primary endpoint: disease flare rate by W44. Key secondary endpoints: JIA ACR50/30/70 response rates; change from Part 2 baseline (Δ) in CHAQ-DI at W44. Other efficacy endpoints: time to disease flare in Part 2; JADAS27-CRP in Parts 1 and 2. PsA/ERA pts were excluded from these efficacy analyses. Safety was evaluated in all pts up to W44.

Results:

225 enrolled pts with pcJIA (n=184), PsA (n=20) or ERA (n=21) received tofacitinib in Part 1. At W18, 173/225 (76.9%) pts entered Part 2 (pcJIA n=142, PsA n=15, ERA n=16). In pcJIA pts, disease flare rate in Part 2 was significantly lower with tofacitinib vs PBO by W44 (p=0.0031; Fig 1a). JIA ACR50/30/70 response rates (Fig 1b) and ΔCHAQ-DI (Fig 1c) at W44, and time to disease flare in Part 2 (Fig 2a), were improved with tofacitinib vs PBO. Tofacitinib reduced JADAS27-CRP in Part 1; this effect was sustained in Part 2 (Fig 2b). Overall, safety was similar with tofacitinib or PBO (Table): 77.3% and 74.1% had adverse events (AEs); 1.1% and 2.4% had serious AEs. In Part 1, 2 pts had herpes zoster (non-serious) and 3 pts had serious infections (SIs). In Part 2, SIs occurred in 1 tofacitinib pt and 1 PBO pt. No pts died.

Conclusion:

In pcJIA pts, tofacitinib vs PBO resulted in significantly fewer disease flares, and improved time to flare, disease activity and physical functioning. Tofacitinib safety was consistent with that in RA pts.

Table.

Safety in all pts

Part 1Part 2TofacitinibaN=225TofacitinibaN=88PBO N=85Pts with events, n (%)AEs153 (68.0)68 (77.3)63 (74.1)SAEs7 (3.1)1 (1.1)2 (2.4)Permanent discontinuations due to AEs26 (11.6)16 (18.2)29 (34.1)AEs of special interest Death000 Gastrointestinal perforationb000 Hepatic eventb3 (1.3)00 Herpes zoster (non-serious and serious)2 (0.9)c00 Interstitial lung diseaseb000 Major adverse cardiovascular eventsb000 Malignancy (including non-melanoma skin cancer)b000 Macrophage activation syndromeb000 Opportunistic infectionb000 SI3 (1.3)1 (1.1)d1 (1.2) Thrombotic event (deep vein thrombosis, pulmonary embolismbor arterial thromboembolism)000 Tuberculosisb000

a5 mg BID or equivalent weight-based lower dose in pts <40 kg

bAdjudicated events

cBoth non-serious

dOne SAE of pilonidal cyst repair was coded to surgical procedures instead of infections, and was inadvertently not identified as an SI. Following adjudication, the SAE did not meet opportunistic infection criteria; it is also included in the table as an SI

AE, adverse event; BID, twice daily; PBO, placebo; pts, patients; SAE, serious AE; SI, serious infection

Acknowledgments:

Study sponsored by Pfizer Inc. Medical writing support was provided by Sarah Piggott of CMC Connect and funded by Pfizer Inc.

Disclosure of Interests:

Nicolino Ruperto Grant/research support from: Bristol-Myers Squibb, Eli Lily, F Hoffmann-La Roche, GlaxoSmithKline, Janssen, Novartis, Pfizer, Sobi (paid to institution), Consultant of: Ablynx, AbbVie, AstraZeneca-Medimmune, Biogen, Boehringer Ingelheim, Bristol-Myers Squibb, Eli Lily, EMD Serono, GlaxoSmithKline, Hoffmann-La Roche, Janssen, Merck, Novartis, Pfizer, R-Pharma, Sanofi, Servier, Sinergie, Sobi, Takeda, Speakers bureau: Ablynx, AbbVie, AstraZeneca-Medimmune, Biogen, Boehringer Ingelheim, Bristol-Myers Squibb, Eli Lily, EMD Serono, GlaxoSmithKline, Hoffmann-La Roche, Janssen, Merck, Novartis, Pfizer, R-Pharma, Sanofi, Servier, Sinergie, Sobi, Takeda, Olga Synoverska Speakers bureau: Sanofi, Tracy Ting: None declared, Carlos Abud-Mendoza Speakers bureau: Eli Lilly, Pfizer Inc, Alberto Spindler Speakers bureau: Eli Lilly, Yulia Vyzhga Grant/research support from: Pfizer Inc, Katherine Marzan Grant/research support from: Novartis, Vladimir Keltsev: None declared, Irit Tirosh: None declared, Lisa Imundo: None declared, Rita Jerath: None declared, Daniel Kingsbury: None declared, Betül Sözeri: None declared, Sheetal Vora: None declared, Sampath Prahalad Grant/research support from: Novartis, Elena Zholobova Grant/research support from: Novartis and Pfizer Inc, Speakers bureau: AbbVie, Novartis, Pfizer Inc and Roche, Yonatan Butbul Aviel: None declared, Vyacheslav Chasnyk: None declared, Melissa Lerman Grant/research support from: Amgen, Kabita Nanda Grant/research support from: Abbott, AbbVie, Amgen and Roche, Heinrike Schmeling Grant/research support from: Janssen, Pfizer Inc, Roche and USB Bioscience, Heather Tory: None declared, Yosef Uziel Speakers bureau: Pfizer Inc, Diego O Viola Grant/research support from: Bristol-Myers Squibb, GSK, Janssen and Pfizer Inc, Speakers bureau: AbbVie and Bristol-Myers Squibb, Holly Posner Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Keith Kanik Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Ann Wouters Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Cheng Chang Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Richard Zhang Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Irina Lazariciu Consultant of: Pfizer Inc, Employee of: IQVIA, Ming-Ann Hsu Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Ricardo Suehiro Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Alberto Martini Consultant of: AbbVie, Eli Lily, EMD Serono, Janssen, Novartis, Pfizer, UCB, Daniel J Lovell Consultant of: Abbott (consulting and PI), AbbVie (PI), Amgen (consultant and DSMC Chairperson), AstraZeneca, Boehringer Ingelheim, Bristol-Myers Squibb (PI), Celgene, Forest Research (DSMB Chairman), GlaxoSmithKline, Hoffman-La Roche, Janssen (co-PI), Novartis (consultant and PI), Pfizer (consultant and PI), Roche (PI), Takeda, UBC (consultant and PI), Wyeth, Employee of: Cincinnati Children’s Hospital Medical Center, Speakers bureau: Wyeth, Hermine Brunner Consultant of: Hoffman-La Roche, Novartis, Pfizer, Sanofi Aventis, Merck Serono, AbbVie, Amgen, Alter, AstraZeneca, Baxalta Biosimilars, Biogen Idec, Boehringer, Bristol-Myers Squibb, Celgene, EMD Serono, Janssen, MedImmune, Novartis, Pfizer, and UCB Biosciences, Speakers bureau: GSK, Roche, and Novartis

OP0292 HIGH EFFICACY OF CANAKINUMAB IN SYSTEMIC JUVENILE IDIOPATHIC ARTHRITIS (SJIA) ACROSS AGE GROUPS: COMPARISON OF CHILDREN, ADOLESCENTS AND YOUNG ADULTS BASED ON POOLED CLINICAL TRIAL RESULTS

Background:

Still’s disease is a systemic auto-inflammatory disease with a pediatric form, sJIA, and an analogous condition in adults, adult-onset Still’s disease (AOSD). The role of interleukin-1 (IL-1) in the pathophysiology of Still’s disease is well established. Canakinumab, a monoclonal antibody against IL-1ß, is approved to treat patients with Still’s disease in Europe (sJIA and AOSD) and the United States (sJIA).

Objectives:

To study the efficacy of canakinumab in sJIA patients categorized by age, we performed an intention-to-treat analysis of pooled data from 5 clinical trials, as an addition to a previously communicated analysis including 3 of the studies1

Methods:

The age categories were children (2-<12 years), young adolescents (12-<16 years) and older adolescents and young adults (16-<20 years). We pooled efficacy results from patients with active disease at baseline treated during a 12-week period with canakinumab (4mg/kg every 4 weeks), including the presence of intermittent fever, serum concentrations of C reactive protein (CRP), improvement of sJIA (adapted pediatric ACR 30, 70 and 100 responses) and JIA ACR inactive disease status. Safety was assessed by analysis of reported adverse events (AEs).

Results:

302 children, 82 young adolescents and 34 older adolescents and young adults were included in the analysis, with a mean disease duration of 922, 1708 and 2615 days, respectively. Prior therapy with other biologics was common, with anakinra used in 33%, 35% and 47% of patients in each group. Disease severity was comparable among groups, with the mean number of active joints ranging from 11.8 to 13.7. Adapted pediatric ACR responses revealed a rapid response to canakinumab, with all groups showing similar rates of responders at most time points (Table 1). In each age group, the proportion of patients with inactive disease progressively increased to Day 57. At all time points after Day 15, the 16-<20 years group presented the highest proportion of patients with inactive disease. Median CRP levels decreased from baseline to reach values in the normal range (<10 mg/L) from Day 29 onwards in the three groups, with improvements more marked in the 16-<20 years group. The safety profile was similar in the three age groups analyzed, with a lower proportion of 16-<20 years old patients experiencing serious AEs (28%) as compared to children (35%) and young adolescents (42%).

Table 1.

Percentages of patients with Adapted pediatric ACR responses and inactive disease status over time*

Time of treatment(Days)2 - <12 yearsa12 - <16 yearsb16-<20 yearscACR301572.781.783.9 (%)2977.584.182.45776.282.988.28565.574.583.3ACR701551.558.364.5 (%)2961.962.270.65765.258.579.48558.661.875.0ACR1001521.625.012.9 (%)2929.530.535.35736.134.138.28534.130.933.3Inactive disease1519.030.019.4 (%)2934.134.147.15739.436.655.98536.743.452.2

*Some studies did not include visits at Day 15 and/or 85. For Day 15, 29, 57 and 85 the respective denominators for each age group were:aN = 231, 302, 302, 232;bN = 60, 82, 82, 55;cN = 31, 34, 34, 24.

Conclusion:

The efficacy and safety profile of canakinumab was consistent in children, adolescents and young adults with sJIA. Since sJIA and AOSD represent pediatric- and adult- onset variants of the Still’s disease continuum, these results further support the therapeutic effect of canakinumab 4 mg/kg every 4 weeks in both children and adults with Still’s disease.

References:

[1]Feist et al.Clin Exp Rheumatol.2018;36(4):668-75.

Disclosure of Interests:

Pierre Quartier Consultant of: AbbVie, Chugai-Roche, Lilly, Novartis, Sanofi, Sobi, Speakers bureau: AbbVie, BMS, Chugai-Roche, Novartis, Pfizer, Sobi, Eugen Feist Consultant of: Novartis, Roche, Sobi, Lilly, Pfizer, Abbvie, BMS, MSD, Sanofi, Speakers bureau: Novartis, Roche, Sobi, Lilly, Pfizer, Abbvie, BMS, MSD, Sanofi, Daniel J Lovell Consultant of: Abbott (consulting and PI), AbbVie (PI), Amgen (consultant and DSMC Chairperson), AstraZeneca, Boehringer Ingelheim, Bristol-Myers Squibb (PI), Celgene, Forest Research (DSMB Chairman), GlaxoSmithKline, Hoffman-La Roche, Janssen (co-PI), Novartis (consultant and PI), Pfizer (consultant and PI), Roche (PI), Takeda, UBC (consultant and PI), Wyeth, Employee of: Cincinnati Children’s Hospital Medical Center, Speakers bureau: Wyeth, Hiroaki Umebayashi: None declared, Nicolino Ruperto Grant/research support from: Bristol-Myers Squibb, Eli Lily, F Hoffmann-La Roche, GlaxoSmithKline, Janssen, Novartis, Pfizer, Sobi (paid to institution), Consultant of: Ablynx, AbbVie, AstraZeneca-Medimmune, Biogen, Boehringer Ingelheim, Bristol-Myers Squibb, Eli Lily, EMD Serono, GlaxoSmithKline, Hoffmann-La Roche, Janssen, Merck, Novartis, Pfizer, R-Pharma, Sanofi, Servier, Sinergie, Sobi, Takeda, Speakers bureau: Ablynx, AbbVie, AstraZeneca-Medimmune, Biogen, Boehringer Ingelheim, Bristol-Myers Squibb, Eli Lily, EMD Serono, GlaxoSmithKline, Hoffmann-La Roche, Janssen, Merck, Novartis, Pfizer, R-Pharma, Sanofi, Servier, Sinergie, Sobi, Takeda, Hermine Brunner Consultant of: Hoffman-La Roche, Novartis, Pfizer, Sanofi Aventis, Merck Serono, AbbVie, Amgen, Alter, AstraZeneca, Baxalta Biosimilars, Biogen Idec, Boehringer, Bristol-Myers Squibb, Celgene, EMD Serono, Janssen, MedImmune, Novartis, Pfizer, and UCB Biosciences, Speakers bureau: GSK, Roche, and Novartis, Cornelia Dunger-Baldauf Employee of: Novartis, Stephanie Noviello Employee of: Novartis, sarah whelan Employee of: Novartis

THU0497 MAINTENANCE OF MINIMAL DISEASE ACTIVITY OR INACTIVE DISEASE STATUS AND PATIENT-REPORTED OUTCOMES IN INDIVIDUAL PAEDIATRIC PATIENTS WITH JUVENILE IDIOPATHIC ARTHRITIS TREATED WITH SUBCUTANEOUS ABATACEPT

Background:

Maintenance of clinical response over time has been shown in individual patients (pts) with polyarticular-course juvenile idiopathic arthritis (pJIA) treated with SC abatacept (ABA).1It is unknown whether each individual pt with sustained efficacy also consistently maintains the previously reported shorter-term benefits on patient-reported outcomes (PROs)2,3over time.

Objectives:

Investigate whether combined efficacy and stringent, optimal PRO responses to ABA treatment are maintained by individual pts with pJIA over time.

Methods:

In this analysis of the intent-to-treat population, pts in two age cohorts (2–5 and 6–17 yrs) who achieved clinical response to weekly SC ABA (10–<25 kg [50 mg], 25–<50 kg [87.5 mg], ≥50 kg [125 mg]) at Mo 4 (time point of primary pharmacokinetic endpoint4) were followed for 2 yrs. Stringent efficacy outcomes (Juvenile Arthritis Disease Activity Score 27 [JADAS27] minimal disease activity [MDA; ≤3.8] and inactive disease [ID; ≤1] status) were combined with optimal PRO endpoints (childhood [C]HAQ-DI=0, Parental Global Assessment [PaGA] ≤1 and Pain visual analogue scale [VAS] <35). Combined efficacy and PRO responses were analysed at Mos 4, 13 and 21.

Results:

219 pts entered the study (46 [21.0%] 2–5 yrs; 173 [79.0%] 6–17 yrs); a subgroup of these pts achieved a clinical response at Mo 4 (Table 1). Many pts who achieved JADAS27 MDA or JADAS27 ID combined with optimal PROs at Mo 4 sustained their response at Mo 13, and at both Mo 13 and Mo 21 in the 2–5-yr and 6–17-yr cohorts (Table 1). Across the cohorts, 33–88% of pts maintained a combined JADAS27 MDA with optimal PRO responses through Mo 21. Where estimable, median times to combined efficacy and specific optimal PRO responses were consistent across the cohorts (Table 2; Figs 1, 2).

Table 1.

Proportion of pts with combined efficacy and optimal PRO responses at Mos 4, 13 and 21

EndpointResponders at Mo 4Responders at Mos 4 and 13*Responders at Mos 4, 13 and 21*2–5 yrs (n=46)6–17 yrs (n=173)2–5 yrs6–17 yrs2–5 yrs6–17 yrsJADAS27 MDA and CHAQ-DI=09 (20)34 (20)5/9 (56)25/34 (74)3/9 (33)16/34 (47)JADAS27 MDA and PaGA ≤18 (17)14 (8)8/8 (100)7/14 (50)7/8 (88)5/14 (36)JADAS27 MDA and Pain VAS <35 mm28 (61)70 (41)25/28 (89)58/70 (83)21/28 (75)43/70 (61)JADAS27 ID and CHAQ-DI=07 (15)20 (12)2/7 (29)13/20 (65)1/7 (14)9/20 (45)JADAS27 ID and PaGA ≤16 (13)10 (6)4/6 (67)4/10 (40)4/6 (67)4/10 (40)JADAS27 ID and Pain VAS <35 mm17 (37)31 (18)10/17 (59)22/31 (71)8/17 (47)17/31 (55)

Data are n (%) or n/N (%). *% based on n of pts who achieved response at Mo 4 (denominator)

Table 2.

Kaplan–Meier estimates for median (95% CI) times (mos) to achieving combined efficacy and optimal PRO responses

Endpoint2–5 yrs6–17 yrsJADAS27 MDA and CHAQ-DI=021.5 (6.8, NE)21.5 (13.1, 24.4)JADAS27 MDA and PaGA ≤1NE (15.9, NE)24.6 (24.3, NE)JADAS27 MDA and Pain VAS <35 mm2.8 (1.9, 2.9)3.8 (3.7, 6.6)JADAS27 ID and CHAQ-DI=0NE (18.4, NE)24.4 (18.7, NE)JADAS27 ID and PaGA ≤1NE (21.3, NE)24.6 (24.3, NE)JADAS27 ID and Pain VAS <35 mm3.8 (3.8, 10.3)13.2 (10.3, 15.9)

NE=not estimable

Conclusion:

Many individuals with pJIA who achieved stringent efficacy and PRO measures with weekly SC abatacept by Mo 4 sustained them over 2 years. Time to achieve combined efficacy and Pain VAS <35 response was shorter than that for PaGA ≤1 and CHAQ-DI=0.

References:

[1]Ruperto N, et al.Ann Rheum Dis2019;78:99–100 (abstr OP0056)

[2]Brunner H, et al.Arthritis Rheumatol2019;71(suppl 10):abstr 2707

[3]Ruperto N, et al.Ann Rheum Dis2017;76:75 (abstr OP0058)

[4]Brunner HI, et al.Arthritis Rheumatol2018;70:1144–54

Acknowledgments:

Katerina Kumpan, PhD, Caudex; funding: Bristol-Myers Squibb

Disclosure of Interests: :

Hermine Brunner Consultant of: Hoffman-La Roche, Novartis, Pfizer, Sanofi Aventis, Merck Serono, AbbVie, Amgen, Alter, AstraZeneca, Baxalta Biosimilars, Biogen Idec, Boehringer, Bristol-Myers Squibb, Celgene, EMD Serono, Janssen, MedImmune, Novartis, Pfizer, and UCB Biosciences, Speakers bureau: GSK, Roche, and Novartis, Nikolay Tzaribachev: None declared, Ingrid Louw Consultant of: Amgen, Novartis, Pfizer, Roche (advisory boards), Inmaculada Calvo Grant/research support from: Bristol-Myers Squibb, Clementia, GlaxoSmithKline, Hoffman-La Roche, Merck Sharpe & Dohme, Novartis, Pfizer, Sanofi, Speakers bureau: AbbVie, GlaxoSmithKline, Hoffman-La Roche, Novartis, Francisco Zapata: None declared, Gerd Horneff Grant/research support from: AbbVie, Chugai, Merck Sharp & Dohme, Novartis, Pfizer, Roche, Speakers bureau: AbbVie, Bayer, Chugai, Merck Sharp & Dohme, Novartis, Pfizer, Roche, Ivan Foeldvari Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Chugai, Eli Lilly, Novartis, Pfizer, Daniel Kingsbury: None declared, Maria Gastanaga Grant/research support from: Amgen, Bristol-Myers Squibb, GlaxoSmithKline, Novartis, Pfizer, Roche, Speakers bureau: AbbVie, Roche, Carine Wouters Grant/research support from: GlaxoSmithKline, Pfizer, Roche, Johannes Breedt: None declared, Robert Wong Shareholder of: Bristol-Myers Squibb, Employee of: Bristol-Myers Squibb, Marleen Nys Shareholder of: Bristol-Myers Squibb, Employee of: Bristol-Myers Squibb, Margarita Askelson Consultant of: Bristol-Myers Squibb, Joe Zhuo Shareholder of: Bristol-Myers Squibb, Employee of: Bristol-Myers Squibb, Alberto Martini Consultant of: AbbVie, Eli Lily, EMD Serono, Janssen, Novartis, Pfizer, UCB, Daniel J Lovell Consultant of: Abbott (consulting and PI), AbbVie (PI), Amgen (consultant and DSMC Chairperson), AstraZeneca, Boehringer Ingelheim, Bristol-Myers Squibb (PI), Celgene, Forest Research (DSMB Chairman), GlaxoSmithKline, Hoffman-La Roche, Janssen (co-PI), Novartis (consultant and PI), Pfizer (consultant and PI), Roche (PI), Takeda, UBC (consultant and PI), Wyeth, Employee of: Cincinnati Children’s Hospital Medical Center, Speakers bureau: Wyeth, Nicolino Ruperto Grant/research support from: Bristol-Myers Squibb, Eli Lily, F Hoffmann-La Roche, GlaxoSmithKline, Janssen, Novartis, Pfizer, Sobi (paid to institution), Consultant of: Ablynx, AbbVie, AstraZeneca-Medimmune, Biogen, Boehringer Ingelheim, Bristol-Myers Squibb, Eli Lily, EMD Serono, GlaxoSmithKline, Hoffmann-La Roche, Janssen, Merck, Novartis, Pfizer, R-Pharma, Sanofi, Servier, Sinergie, Sobi, Takeda, Speakers bureau: Ablynx, AbbVie, AstraZeneca-Medimmune, Biogen, Boehringer Ingelheim, Bristol-Myers Squibb, Eli Lily, EMD Serono, GlaxoSmithKline, Hoffmann-La Roche, Janssen, Merck, Novartis, Pfizer, R-Pharma, Sanofi, Servier, Sinergie, Sobi, Takeda

THU0503 PLUTO TRIAL: SENSITIVITY ANALYSES OF SRI4 RESPONSE WITH BELIMUMAB VS PLACEBO IN PAEDIATRIC PATIENTS WITH CHILDHOOD-ONSET SYSTEMIC LUPUS ERYTHEMATOSUS (CSLE)

Background:

Belimumab (BEL) is the first treatment approved in children ≥5 years of age with cSLE. This recent approval was based on favourable results of the PLUTO trial, evaluating efficacy and safety of intravenous (IV) BEL, plus standard SLE therapy (SST), vs placebo (PBO), in children with cSLE.1

Objectives:

To evaluate the SLE Responder Index 4 (SRI4) sensitivity of response for the comparison of BEL vs PBO at Week (Wk) 52.

Methods:

In PLUTO (NCT01649765; GSK study BEL114055), an ongoing Phase 2, randomised, PBO-controlled, double-blind study, patients (pts) 5–17 years of age with active cSLE were randomised to monthly BEL 10 mg/kg IV, or PBO, plus SST, for 52 weeks. The primary efficacy endpoint was the SRI4 response rate at Wk 52. Pre-specified sensitivity analyses supporting the primary efficacy endpoint for the intention-to-treat (ITT) population included unadjusted, last observation carried forward (LOCF), completer responses, and response using SLE Disease Activity Index (SLEDAI) 2K proteinuria scoring rule (4-point score for proteinuria >0.5 g/24 h), all at Wk 52. Completers were pts who completed 52 weeks of treatment. Any pts who withdrew or received protocol-prohibited medication or a dose of allowable medication that resulted in treatment failure prior to the Wk 52 visit had missing data handled using LOCF (missing values imputed using the last previous non-missing value). Statistics are descriptive.

Results:

Overall, 93 pts were randomised (BEL, n=53; PBO, n=40). Majority (94.6%) of pts were female, mean (standard deviation [SD]) age was 14.0 (2.49) years and mean (SD) disease duration was 2.4 (1.93) years. By Wk 52, numerically more BEL (52.8%) than PBO (43.6%) pts were SRI4 responders; difference vs PBO 9.24; odds ratio (OR; 95% confidence interval [CI]) vs PBO 1.49 (0.64, 3.46). For each sensitivity analysis (unadjusted, LOCF, completer, and SLEDAI 2K responses) the odds of being a responder at Wk 52 were higher for pts receiving BEL vs PBO (Table).

Table.

Sensitivity analyses: SRI4 response at Wk 52

PBO(n=40)BEL(n=53)Unadjusted response (ITT), n*3953 n (%)17 (43.6)28 (52.8) Observed difference vs PBO9.24 OR (95% CI)†vs PBO1.45 (0.63, 3.33)LOCF response (ITT), n*3953 n (%)18 (46.2)30 (56.6) Observed difference vs PBO10.45 OR (95% CI)‡vs PBO1.51 (0.65, 3.52)Completer response (completers), n*3045 n (%)17 (56.7)27 (60.0) Observed difference vs PBO3.33 OR (95% CI)‡vs PBO1.16 (0.44, 3.09)Response using SLEDAI 2K (ITT), n*3953 n (%)17 (43.6)28 (52.8) Observed difference vs PBO9.24 OR (95% CI)‡vs PBO1.49 (0.64, 3.46)

*One pt was excluded because they did not have a baseline Safety of Estrogens in Lupus National Assessment (SELENA)-SLEDAI assessment;†calculated from a logistic regression model for the comparison between BEL and PBO without adjustment for any covariates;‡calculated from a logistic regression model for the comparison between BEL and PBO with covariates treatment group, baseline age (5–11 years vs 12–17 years), and baseline SELENA-SLEDAI score (≤12 vs ≥13)

Conclusion:

The results of the SRI4 primary efficacy endpoint sensitivity analyses further support a favourable effect for BEL vs PBO.

References:

[1]Brunner HI,et al.Arthritis Rheumatol.2018;70(59): 3224–5, Abst. 2867

Acknowledgments:

We acknowledge all PLUTO investigators (PRINTO, PRCSG and otherwise affiliated). Study funding: GSK.

Disclosure of Interests:

Nicolino Ruperto Consultant of: Ablynx, AbbVie, AstraZeneca-Medimmune, Biogen, Boehringer, Bristol-Myers Squibb, Eli-Lilly, EMD Serono, GSK, Hoffmann-La Roche, Janssen, Merck, Novartis, Pfizer, R-Pharma, Sanofi, Servier, Sinergie, Sobi and Takeda, Hermine Brunner Consultant of: Hoffman-La Roche, Novartis, Pfizer, Sanofi Aventis, Merck Serono, AbbVie, Amgen, Alter, AstraZeneca, Baxalta Biosimilars, Biogen Idec, Boehringer, Bristol-Myers Squibb, Celgene, EMD Serono, Janssen, MedImmune, Novartis, Pfizer, and UCB Biosciences, Speakers bureau: GSK, Roche, and Novartis, Masaaki Mori Grant/research support from: Abbvie Japan, Asahikasei Pharmaceutical, Ayumi Pharmaceutical, CSL Behring, Chugai Pharmaceutical, Japan Blood Products Organization, MSD K.K., Nippon Kayaku, UCB Japan, Consultant of: Daiichi Sankyo, Taisho Pharmaceutical, Jacqueline Clinch Consultant of: Alexion, Speakers bureau: Alexion, Reema Syed: None declared, Naomi Iwata Speakers bureau: Sanofi K.K, Damon Bass Shareholder of: GSK, Employee of: GSK, Beulah Ji Shareholder of: GSK, Employee of: GSK, Anne Hammer Shareholder of: GSK, Employee of: GSK, Mohamed Okily Shareholder of: GSK, Employee of: GSK, Gina Eriksson Shareholder of: GSK, Employee of: GSK, Holly Quasny Shareholder of: GSK, Employee of: GSK

SAT0505 PLUTO TRIAL OF INTRAVENOUS BELIMUMAB IN PAEDIATRIC PATIENTS WITH CHILDHOOD-ONSET SYSTEMIC LUPUS ERYTHEMATOSUS (cSLE): PATIENT RESPONSES OVER TIME

Background:

Belimumab (BEL) is a human monoclonal antibody that specifically inhibits B-cell activating factor (BAFF). PLUTO is an ongoing trial evaluating efficacy and safety of intravenous (IV) BEL in children ≥5 years of age with cSLE. Efficacy, and safety endpoints of PLUTO have been reported;1briefly, numerically more BEL vs PBO pts met the primary and major secondary efficacy endpoints. We present patient (pt) response to BEL over time.

Objectives:

To evaluate changes in SLE Responder Index (SRI) 4 and SRI6 responses, and disease activity over 52 weeks, in paediatric pts receiving BEL, or placebo (PBO), plus standard SLE therapy (SST).

Methods:

PLUTO (GSK Study BEL114055,NCT01649765) is a Phase 2, randomised, double-blind, placebo-controlled study. Pts 5–17 years of age with active cSLE were randomised to monthly BEL 10 mg/kg IV, or PBO, plus SST. Endpoints assessed: SRI4 and SRI6 response rate, mean percentage and absolute change from baseline in Safety of Estrogens in Lupus Erythematosus National Assessment (SELENA)-SLE Disease Activity Index (SLEDAI) and Physicians’ Global Assessment (PGA) scores, and percentage of pts with no new British Isles Lupus Assessment Group (BILAG) 1A/2B organ domain scores compared with baseline, all by study visit. The last-observation-carried-forward (LOCF) principle (missing values imputed using the last available non-missing value) was applied to pts who withdrew or received protocol-prohibited medication or a dose of allowable medication that resulted in treatment failure prior to the Week (Wk) 52 visit. Descriptive statistics were used.

Results:

A total of 93 pts (94.6% female, mean [SD] age 14.0 [2.49] years) were randomised for the intention-to-treat (ITT) population: 53 to BEL and 40 to PBO. Mean (SD) BEL and PBO baseline scores were 10.3 (3.34) and 10.4 (3.63) for SELENA-SLEDAI and 1.3 (0.43) and 1.4 (0.42) for PGA, respectively. Pt number with at least BILAG 1A/2B organ domain involvement at baseline was 37 (69.8%) for BEL and 29 (72.5%) for PBO. SRI4 and SRI6 responses over 52 weeks were mostly numerically higher with BEL than PBO; more BEL than PBO pts were SRI4 and SRI6 responders at Wk 52 (Figure 1). Unadjusted mean (SE) percentage changes from baseline over time in SELENA-SLEDAI and PGA scores generally favoured BEL over PBO, as did unadjusted mean (SE) absolute changes (Figure 2). Wk 52 adjusted mean (95% CI) percentage treatment difference vs PBO was -4.0% (-21.8, 13.9) for SELENA-SLEDAI and -6.1% (-23.9, 11.7) for PGA, while Wk 52 adjusted mean (95% CI) treatment difference vs PBO was -0.7 (-2.4, 1.1) for SELENA-SLEDAI and -0.1 (-0.3, 0.1) for PGA. Over the study duration, numerically more BEL than PBO pts had no new BILAG 1A/2B organ domain scores (Figure 2).

Figure 1.

SRI4 and SRI6 response by study visit

Figure 2.

SELENA-SLEDAI and PGA score mean percentage and absolute change from baseline, and no new BILAG 1A/2B organ domain scores compared with baseline, all by study visit

Conclusion:

In line with the main analyses performed at Wk 52,1further analyses of responses over time in SRI4, SRI6 and disease activity generally favoured BEL over PBO. Combined, these results continue to support the efficacy profile of IV BEL in the treatment of children with cSLE.

References:

[1]Brunner HI,et al.Arthritis Rheumatol.2018;70(59): 3224–5, Abst. 2867

Acknowledgments:

We acknowledge all PLUTO investigators (PRINTO, PRCSG and otherwise affiliated). Study funding: GSK.

Disclosure of Interests:

Nicolino Ruperto Consultant of: Ablynx, AbbVie, AstraZeneca-Medimmune, Biogen, Boehringer, Bristol-Myers Squibb, Eli-Lilly, EMD Serono, GSK, Hoffmann-La Roche, Janssen, Merck, Novartis, Pfizer, R-Pharma, Sanofi, Servier, Sinergie, Sobi and Takeda, Liza McCann: None declared, Syuji Takei Grant/research support from: Eisai, Consultant of: Novartis, Bristol-Myers Squibb, Speakers bureau: GSK, Sanofi, Tanabe-Mitsubishi, Novartis, Chugai, Ono, Abbvie, Eli-Lilly, Bristol-Myers Squibb, Clarissa Pilkington: None declared, Damon Bass Shareholder of: GSK, Employee of: GSK, Beulah Ji Shareholder of: GSK, Employee of: GSK, Anne Hammer Shareholder of: GSK, Employee of: GSK, Mohamed Okily Shareholder of: GSK, Employee of: GSK, Gina Eriksson Shareholder of: GSK, Employee of: GSK, Holly Quasny Shareholder of: GSK, Employee of: GSK, Hermine Brunner Consultant of: Hoffman-La Roche, Novartis, Pfizer, Sanofi Aventis, Merck Serono, AbbVie, Amgen, Alter, AstraZeneca, Baxalta Biosimilars, Biogen Idec, Boehringer, Bristol-Myers Squibb, Celgene, EMD Serono, Janssen, MedImmune, Novartis, Pfizer, and UCB Biosciences, Speakers bureau: GSK, Roche, and Novartis

Isolation of Unusually Composed Sialyl-Compounds from Hemofiltrate

Sialyl compounds are essential components of various biological fluids but relatively little is known about their occurrence in the extracellular fluid of patients with end-stage renal disease. As we have developed a macropreparative method for concentrating and desalting a wide range of fractions from diluted biological fluids we have been able to isolate and identify 5 sialooligosaccharides, 3 sialosugarphosphates, 2 monosialoglycopeptides and 1 disialoglycopeptide. The structures have been elucidated predominantly by one and two-dimensional NMR spectroscopy, enzymatic degradation and FAB mass spectrometry.

The accumulation of these compounds in uremic sera may be of particular interest as they may interact in the molecular biology of diseases typically associated with the uremic state, e.g., immune deficiency, neurological disorders, receptor binding abnormalities, complement system disturbances and cell membrane alterations.

De Novo Mutations in SON Disrupt RNA Splicing of Genes Essential for Brain Development and Metabolism, Causing an Intellectual-Disability Syndrome

The overall understanding of the molecular etiologies of intellectual disability (ID) and developmental delay (DD) is increasing as next-generation sequencing technologies identify genetic variants in individuals with such disorders. However, detailed analyses conclusively confirming these variants, as well as the underlying molecular mechanisms explaining the diseases, are often lacking. Here, we report on an ID syndrome caused by de novo heterozygous loss-of-function (LoF) mutations in SON. The syndrome is characterized by ID and/or DD, malformations of the cerebral cortex, epilepsy, vision problems, musculoskeletal abnormalities, and congenital malformations. Knockdown of son in zebrafish resulted in severe malformation of the spine, brain, and eyes. Importantly, analyses of RNA from affected individuals revealed that genes critical for neuronal migration and cortex organization (TUBG1, FLNA, PNKP, WDR62, PSMD3, and HDAC6) and metabolism (PCK2, PFKL, IDH2, ACY1, and ADA) are significantly downregulated because of the accumulation of mis-spliced transcripts resulting from erroneous SON-mediated RNA splicing. Our data highlight SON as a master regulator governing neurodevelopment and demonstrate the importance of SON-mediated RNA splicing in human development.

Proposed response criteria for neurocognitive impairment in systemic lupus erythematosus clinical trials

The objective of this study was to identify reliable and valid instruments to measure cognitive impairment in systemic lupus erythematosus (SLE), and to define minimally important change of cognitive impairment in SLE for clinical trials. Neurocognitive measures used in randomized clinical trials in SLE were reviewed, and response criteria were developed using consensus expert opinion. The definition of cognitive impairment in the ACR nomenclature for neuropsychiatric lupus syndrome was adopted. Cognitive impairment is a deficit of 2.0 or more standard deviations (SD) below the mean, compared to normative data, in the key domains of attention, memory and psychomotor speed. Cognitive decline is defined as a deficit of 1.5—1.9 SD below the mean. Focal decline is defined if impairment exists in one or more measures within one domain, and multifocal decline if impairment exists on measures spanning two or more domains. The combination of ACR neuropsychological battery and the Cognitive Symptoms Inventory (CSI) is recommended to quantitate cognitive function. A clinically important response is defined as an improvement of ≥ 1.0 SD with an effect size of 1.0 in the key domains of the ACR neuropsychological testing, and an improvement of ≥ 1.0 SD with an effect size of 1.0 in functional performance of the CSI. Lupus (2007) 16, 418—425

DVL3 Alleles Resulting in a -1 Frameshift of the Last Exon Mediate Autosomal-Dominant Robinow Syndrome

Robinow syndrome is a rare congenital disorder characterized by mesomelic limb shortening, genital hypoplasia, and distinctive facial features. Recent reports have identified, in individuals with dominant Robinow syndrome, a specific type of variant characterized by being uniformly located in the penultimate exon of DVL1 and resulting in a -1 frameshift allele with a premature termination codon that escapes nonsense-mediated decay. Here, we studied a cohort of individuals who had been clinically diagnosed with Robinow syndrome but who had not received a molecular diagnosis from variant studies of DVL1, WNT5A, and ROR2. Because of the uniform location of frameshift variants in DVL1-mediated Robinow syndrome and the functional redundancy of DVL1, DVL2, and DVL3, we elected to pursue direct Sanger sequencing of the penultimate exon of DVL1 and its paralogs DVL2 and DVL3 to search for potential disease-associated variants. Remarkably, targeted sequencing identified five unrelated individuals harboring heterozygous, de novo frameshift variants in DVL3, including two splice acceptor mutations and three 1 bp deletions. Similar to the variants observed in DVL1-mediated Robinow syndrome, all variants in DVL3 result in a -1 frameshift, indicating that these highly specific alterations might be a common cause of dominant Robinow syndrome. Here, we review the current knowledge of these peculiar variant alleles in DVL1- and DVL3-mediated Robinow syndrome and further elucidate the phenotypic features present in subjects with DVL1 and DVL3 frameshift mutations.

De Novo Loss-of-Function Mutations in USP9X Cause a Female-Specific Recognizable Syndrome with Developmental Delay and Congenital Malformations

Mutations in more than a hundred genes have been reported to cause X-linked recessive intellectual disability (ID) mainly in males. In contrast, the number of identified X-linked genes in which de novo mutations specifically cause ID in females is limited. Here, we report 17 females with de novo loss-of-function mutations in USP9X, encoding a highly conserved deubiquitinating enzyme. The females in our study have a specific phenotype that includes ID/developmental delay (DD), characteristic facial features, short stature, and distinct congenital malformations comprising choanal atresia, anal abnormalities, post-axial polydactyly, heart defects, hypomastia, cleft palate/bifid uvula, progressive scoliosis, and structural brain abnormalities. Four females from our cohort were identified by targeted genetic testing because their phenotype was suggestive for USP9X mutations. In several females, pigment changes along Blaschko lines and body asymmetry were observed, which is probably related to differential (escape from) X-inactivation between tissues. Expression studies on both mRNA and protein level in affected-female-derived fibroblasts showed significant reduction of USP9X level, confirming the loss-of-function effect of the identified mutations. Given that some features of affected females are also reported in known ciliopathy syndromes, we examined the role of USP9X in the primary cilium and found that endogenous USP9X localizes along the length of the ciliary axoneme, indicating that its loss of function could indeed disrupt cilium-regulated processes. Absence of dysregulated ciliary parameters in affected female-derived fibroblasts, however, points toward spatiotemporal specificity of ciliary USP9X (dys-)function.

Mutations in DVL1 cause an osteosclerotic form of Robinow syndrome

Robinow syndrome (RS) is a phenotypically and genetically heterogeneous condition that can be caused by mutations in genes encoding components of the non-canonical Wnt signaling pathway. In contrast, germline mutations that act to increase canonical Wnt signaling lead to distinctive osteosclerotic phenotypes. Here, we identified de novo frameshift mutations in DVL1, a mediator of both canonical and non-canonical Wnt signaling, as the cause of RS-OS, an RS subtype involving osteosclerosis, in three unrelated individuals. The mutations all delete the DVL1 C terminus and replace it, in each instance, with a novel, highly basic sequence. We showed the presence of mutant transcript in fibroblasts from one individual with RS-OS and demonstrated unimpaired protein stability with transfected GFP-tagged constructs bearing a frameshift mutation. In vitro TOPFlash assays, in apparent contradiction to the osteosclerotic phenotype, revealed that the mutant allele was less active than the wild-type allele in the canonical Wnt signaling pathway. However, when the mutant and wild-type alleles were co-expressed, canonical Wnt activity was 2-fold higher than that in the wild-type construct alone. This work establishes that DVL1 mutations cause a specific RS subtype, RS-OS, and that the osteosclerosis associated with this subtype might be the result of an interaction between the wild-type and mutant alleles and thus lead to elevated canonical Wnt signaling.

DVL1 frameshift mutations clustering in the penultimate exon cause autosomal-dominant Robinow syndrome

Robinow syndrome is a genetically heterogeneous disorder characterized by mesomelic limb shortening, genital hypoplasia, and distinctive facial features and for which both autosomal-recessive and autosomal-dominant inheritance patterns have been described. Causative variants in the non-canonical signaling gene WNT5A underlie a subset of autosomal-dominant Robinow syndrome (DRS) cases, but most individuals with DRS remain without a molecular diagnosis. We performed whole-exome sequencing in four unrelated DRS-affected individuals without coding mutations in WNT5A and found heterozygous DVL1 exon 14 mutations in three of them. Targeted Sanger sequencing in additional subjects with DRS uncovered DVL1 exon 14 mutations in five individuals, including a pair of monozygotic twins. In total, six distinct frameshift mutations were found in eight subjects, and all were heterozygous truncating variants within the penultimate exon of DVL1. In five families in which samples from unaffected parents were available, the variants were demonstrated to represent de novo mutations. All variant alleles are predicted to result in a premature termination codon within the last exon, escape nonsense-mediated decay (NMD), and most likely generate a C-terminally truncated protein with a distinct -1 reading-frame terminus. Study of the transcripts extracted from affected subjects' leukocytes confirmed expression of both wild-type and variant alleles, supporting the hypothesis that mutant mRNA escapes NMD. Genomic variants identified in our study suggest that truncation of the C-terminal domain of DVL1, a protein hypothesized to have a downstream role in the Wnt-5a non-canonical pathway, is a common cause of DRS.

Notizen: Cross Polarization in Electron Nuclear Double Resonance by Satisfying the Hartmann-Hahn Condition

The polarization of electronic spins S is transferred to nuclear spins I by cross relaxation in an electron nuclear double resonance experiment. The cross relaxation becomes very efficient with a time constant Tcr of about 0.5 microseconds if the Hartmann-Hahn condition is satisfied for electronic spins S spin-lock ed to the microwave field B1,S in the rotating frame and for proton spins / in the static magnetic field B0.