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Sökning: WFRF:(Tjarnlund A)

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  • Albrecht, Inka, et al. (författare)
  • Development of autoantibodies against muscle-specific FHL1 in severe inflammatory myopathies
  • 2015
  • Ingår i: Journal of Clinical Investigation. - : AMER SOC CLINICAL INVESTIGATION INC. - 0021-9738 .- 1558-8238. ; 125:12, s. 4612-4624
  • Tidskriftsartikel (refereegranskat)abstract
    • Mutations of the gene encoding four-and-a-half LIM domain 1 (FHL1) are the causative factor of several X-linked hereditary myopathies that are collectively termed FHL1-related myopathies. These disorders are characterized by severe muscle dysfunction and damage. Here, we have shown that patients with idiopathic inflammatory myopathies (IIMs) develop autoimmunity to FHL1, which is a muscle-specific protein. Anti-FHL1 autoantibodies were detected in 25% of IIM patients, while patients with other autoimmune diseases or muscular dystrophies were largely anti-FHL1 negative. Anti-FHL1 reactivity was predictive for muscle atrophy, dysphagia, pronounced muscle fiber damage, and vasculitis. FHL1 showed an altered expression pattern, with focal accumulation in the muscle fibers of autoantibody-positive patients compared with a homogeneous expression in anti-FHL1-negative patients and healthy controls. We determined that FHL1 is a target of the cytotoxic protease granzyme B, indicating that the generation of FHL1 fragments may initiate FHL1 autoimmunity. Moreover, immunization of myositis-prone mice with FHL1 aggravated muscle weakness and increased mortality, suggesting a direct link between anti-FHL1 responses and muscle damage. Together, our findings provide evidence that FHL1 may be involved in the pathogenesis not only of genetic FHL1-related myopathies but also of autoimmune IIM. Importantly, these results indicate that anti-FHL1 autoantibodies in peripheral blood have promising potential as a biomarker to identify a subset of severe IIM.
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  • Lundberg, IE, et al. (författare)
  • 2017 European League Against Rheumatism/American College of Rheumatology classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups
  • 2017
  • Ingår i: Annals of the rheumatic diseases. - : BMJ. - 1468-2060 .- 0003-4967. ; 76:12, s. 1955-1964
  • Tidskriftsartikel (refereegranskat)abstract
    • To develop and validate new classification criteria for adult and juvenile idiopathic inflammatory myopathies (IIM) and their major subgroups.MethodsCandidate variables were assembled from published criteria and expert opinion using consensus methodology. Data were collected from 47 rheumatology, dermatology, neurology and paediatric clinics worldwide. Several statistical methods were used to derive the classification criteria.ResultsBased on data from 976 IIM patients (74% adults; 26% children) and 624 non-IIM patients with mimicking conditions (82% adults; 18% children), new criteria were derived. Each item is assigned a weighted score. The total score corresponds to a probability of having IIM. Subclassification is performed using a classification tree. A probability cut-off of 55%, corresponding to a score of 5.5 (6.7 with muscle biopsy) ‘probable IIM’, had best sensitivity/specificity (87%/82% without biopsies, 93%/88% with biopsies) and is recommended as a minimum to classify a patient as having IIM. A probability of ≥90%, corresponding to a score of ≥7.5 (≥8.7 with muscle biopsy), corresponds to ‘definite IIM’. A probability of <50%, corresponding to a score of <5.3 (<6.5 with muscle biopsy), rules out IIM, leaving a probability of ≥50 to <55% as ‘possible IIM’.ConclusionsThe European League Against Rheumatism/American College of Rheumatology (EULAR/ACR) classification criteria for IIM have been endorsed by international rheumatology, dermatology, neurology and paediatric groups. They employ easily accessible and operationally defined elements, and have been partially validated. They allow classification of ‘definite’, ‘probable’ and ‘possible’ IIM, in addition to the major subgroups of IIM, including juvenile IIM. They generally perform better than existing criteria.
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  • Tillett, W, et al. (författare)
  • DYNAMICS OF NAIL PSORIASIS WITH GUSELKUMAB TREATMENT AND WITHDRAWAL IN ASSOCIATION WITH SKIN RESPONSE AND PATIENT-REPORTED OUTCOMES: A POST HOC ANALYSIS OF THE VOYAGE 2 PHASE 3 TRIAL
  • 2022
  • Ingår i: ANNALS OF THE RHEUMATIC DISEASES. - : BMJ. - 0003-4967 .- 1468-2060. ; 81, s. 830-830
  • Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
    • Nail psoriasis can be difficult to treat, affects ~50% of patients with psoriasis and can involve the nail matrix (pitting, leukonychia) and/or nail bed (onycholysis, splinter haemorrhages). Evidence suggests nail psoriasis may be associated with risk of developing psoriatic arthritis, in particular distal interphalangeal joint erosion.1–3 Data to Week (Wk) 24 from VOYAGE 1 and 2, two Phase 3 clinical trials, indicate that the anti-interleukin-23 monoclonal antibody guselkumab (GUS) is more effective than placebo and as effective as adalimumab in treating nail psoriasis.4 Furthermore, GUS is also associated with maintained Psoriasis Area and Severity Index (PASI) following treatment withdrawal in VOYAGE 2; however, nail response is not as well understood in this context.5ObjectivesThis VOYAGE 2 post hoc analysis evaluated nail response and its association with skin response and patient-reported outcomes (PROs) in two groups, one experiencing GUS withdrawal and the other receiving continuous GUS.MethodsPatients had moderate-to-severe plaque psoriasis and nail psoriasis, were initially randomised to GUS, and achieved PASI 90 at Wk 28. Patients were then re-randomised to placebo (GUS withdrawal) or GUS every 8 wks (GUS continuation). Nail Psoriasis Severity Index (NAPSI; grading the most affected nail), fingernail Physician’s Global Assessment (f-PGA), PASI and Dermatology Life Quality Index (DLQI) are reported as observed at Wk 0, 16, 24 and 48.ResultsAmong 209 patients, NAPSI, f-PGA, PASI and DLQI showed similar trends in both groups until Wk 24. All endpoints improved from baseline; and at Wk 24, patients in the GUS withdrawal and GUS continuation groups achieved a mean NAPSI of 1.7 and 1.8 (nail matrix 1.0 and 1.0; nail bed 0.7 and 0.8); f-PGA 0.9 and 0.9; PASI 0.6 and 0.6; and DLQI 2.2 and 2.3, respectively (Table 1). Nail changes continued to follow skin trends through Wk 48 (Figure 1); with GUS withdrawal, worsening of PASI and DLQI was proportionally greater than that of NAPSI and f-PGA; with GUS continuation, PASI and DLQI remained fairly stable, and NAPSI and f-PGA continued to improve. Nails were numerically slower to respond to GUS initiation and withdrawal than skin, with a more pronounced delay for nail matrix vs nail bed. In patients who sustained a PASI 90 response at Wk 48, despite GUS withdrawal, a high level of nail response was also maintained.Table 1.NAPSI, f-PGA, PASI and DLQI through Wk 48 in GUS withdrawal and GUS continuation groupsWk 0Wk 16Wk 24Wk 28Wk 48GUS withdrawal*GUSRPlacebon97969696NAPSI5.0 (2.1)2.5 (1.9)1.7 (1.9)1.9 (2.1)Nail matrix2.7 (1.3)1.5 (1.3)1.0 (1.2)0.9 (1.3)Nail bed2.2 (1.2)0.9 (1.0)0.7 (1.0)1.0 (1.1)n98979797f-PGA2.5 (0.8)1.3 (0.9)0.9 (0.8)1.1 (1.0)n101101100100PASI23.1 (9.0)1.3 (2.7)0.6 (1.4)5.2 (6.1)n101101100100DLQI14.5 (6.1)2.8 (4.1)2.2 (3.6)7.0 (7.4)GUS continuationGUSRGUSn108106107105NAPSI4.4 (1.8)2.4 (2.2)1.8 (2.0)1.2 (1.6)Nail matrix2.5 (1.2)†1.4 (1.3)1.0 (1.2)0.7 (1.0)Nail bed1.9 (1.2)1.0 (1.1)0.8 (1.0)0.5 (0.8)n108106107105f-PGA2.4 (0.9)1.1 (0.9)0.9 (0.9)0.7 (0.8)n108108108106PASI22.6 (8.8)1.2 (2.1)0.6 (1.1)1.3 (3.5)n107108108104DLQI14.3 (6.4)2.9 (4.2)2.3 (4.0)1.8 (3.4)Data are mean (standard deviation). *n=10 reinitiated GUS upon loss of 50% of Wk 28 PASI 90(at n=1 Wk 36, n=2 Wk 40, n=7 Wk 44); †n=107; R, re-randomisation of PASI 90 responders.ConclusionGUS treatment through Wk 48 improved nail psoriasis, skin psoriasis and PROs. When GUS was withdrawn, loss of response was slower in nails vs skin. These findings support that nail outcomes follow skin outcome trends with GUS treatment and that nail outcomes should contribute to evaluation of treatment efficacy and disease progression.2,3,6References[1]Robert B. Dermatology 2010; 221 Suppl 1: 1–5;[2]Antony A et al. J Rheumatol 2019; 46: 1097–102.[3]Wilson F et al. Arthritis Rheum 2009; 61: 233–39;[4]Foley P et al. JAMA Dermatol 2018; 154: 676–83;[5]Conrad C et al. AAD 2021. P26573.[6]Conrad C et al. Dermatol Ther 2022; 12: 233–41.AcknowledgementsThis analysis was funded by Janssen and medical writing support was provided by OPEN Health Medical Communications.Disclosure of InterestsWilliam Tillett Speakers bureau: Abbvie, Amgen, Eli Lilly, Janssen, Novartis, Pfizer and UCB, Consultant of: Abbvie, Amgen, Eli Lilly, Janssen, Novartis, Pfizer and UCB, Grant/research support from: Abbvie, Amgen, Eli Lilly, Janssen, Novartis, Pfizer and UCB, Alexander Egeberg Speakers bureau: AbbVie, Almirall, Leo Pharma, Zuellig Pharma Ltd., Galápagos NV, Sun Pharmaceuticals, Samsung Bioepis Co., Ltd., Pfizer, Eli Lilly and Company, Novartis, Union Therapeutics, Galderma, Dermavant, UCB, Mylan, Bristol-Myers Squibb, and JanssenPharmaceuticals, Consultant of: AbbVie, Almirall, Leo Pharma, Zuellig Pharma Ltd., Galápagos NV, Sun Pharmaceuticals, Samsung Bioepis Co., Ltd., Pfizer, Eli Lilly and Company, Novartis, Union Therapeutics, Galderma, Dermavant, UCB, Mylan, Bristol-Myers Squibb, and JanssenPharmaceuticals, Grant/research support from: Pfizer, Eli Lilly, Novartis, Bristol-Myers Squibb, AbbVie, Janssen Pharmaceuticals, the Danish National Psoriasis Foundation, the Simon Spies Foundation, and the Kgl Hofbundtmager Aage Bang Foundation, Enikö Sonkoly Speakers bureau: AbbVie, Eli Lilly, UCB, Janssen, Novartis, Sanofi and LEO Pharma, Grant/research support from: Pfizer, Patricia Gorecki Employee of: Janssen, Anna Tjärnlund Employee of: Janssen, Jozefien Buyze Employee of: Janssen, Sven Wegner Employee of: Janssen, Dennis McGonagle Speakers bureau: Abbvie, BMS, Celgene, Janssen, Novartis, Lilly, UCB, Grant/research support from: Abbvie, BMS, Celgene, Janssen, Novartis, Lilly, UCB
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