2022
DOI: 10.1093/rheumatology/keac003
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Autoantibodies against four-and-a-half-LIM domain 1 (FHL1) in inflammatory myopathies: results from an Australian single-centre cohort

Abstract: Objectives To determine the prevalence and associations of autoantibodies targeting a muscle-specific autoantigen, Four-and-a-half-LIM-domain 1 (FHL1), in South Australian patients with histologically-confirmed IIM and in patients with systemic sclerosis (SSc). Material and methods Sera from patients with IIM (n = 267) from the South Australian Myositis Database (SAMD), SSc (n = 174) from the Australian Scleroderma Cohort Stu… Show more

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Cited by 9 publications
(2 citation statements)
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“…Recent evidence has confirmed and extended previous data on myositis associated auto-antibodies anti-Four-anda-half-LIM-domain 1 (antiFHL1) (30), which recognise a muscle-specific antigen, have been observed in some seron- egative IIM and systemic sclerosis patients (31). Anti-RuvBL1/2 antibodies were also found in patients with IIM/ systemic sclerosis overlap syndrome without other known autoantibodies, in association with nuclear fine or coarse speckled HEp-2 IIF pattern (32).…”
Section: Laboratory Investigations and Autoantibodiessupporting
confidence: 81%
“…Recent evidence has confirmed and extended previous data on myositis associated auto-antibodies anti-Four-anda-half-LIM-domain 1 (antiFHL1) (30), which recognise a muscle-specific antigen, have been observed in some seron- egative IIM and systemic sclerosis patients (31). Anti-RuvBL1/2 antibodies were also found in patients with IIM/ systemic sclerosis overlap syndrome without other known autoantibodies, in association with nuclear fine or coarse speckled HEp-2 IIF pattern (32).…”
Section: Laboratory Investigations and Autoantibodiessupporting
confidence: 81%
“… 21 , 22 , 23 We are also aware that the subgroup negative for all analysed autoantibodies may contain patients positive for new MSA, such as anti-FHL1, or autoantibodies that were either not analysed or removed from the analysis due to substantial missing data (e.g., anti-HMGCR, -Ku, -cN1A). 24 Moreover, ethnic background was available for only 28% of the patients included, so ancestry could not be adjusted for in the different models. Despite the potential misclassification resulting from our autoantibody assessment strategy and possible presence of unmeasured confounders, this study allowed us to use unsupervised clustering to define IIM subgroups based on serological profiles, evaluate HLA associations, and contrast traditional clinical and histopathological classification.…”
Section: Discussionmentioning
confidence: 99%