Literature DB >> 15305244

HLA-DRB1 allele distribution in polymyalgia rheumatica and giant cell arteritis: influence on clinical subgroups and prognosis.

Víctor M Martínez-Taboda1, M Jose Bartolome, Marcos Lopez-Hoyos, Ricardo Blanco, Cristina Mata, Jaime Calvo, Alfonso Corrales, Vicente Rodriguez-Valverde.   

Abstract

OBJECTIVE: To evaluate HLA-DRB1 associations in patients with polymyalgia rheumatica (PMR) and giant cell arteritis (GCA) in the Spanish population, especially those alleles that include the disease-linked sequence motif DRYF (positions 28 to 31 of the HVR2).
METHODS: We performed a PCR based HLA-DRB1 genotyping in 89 PMR patients, 44 GCA patients, and 99 unrelated healthy controls from the same geographic area.
RESULTS: We did not find any significant difference between the whole group of PMR/GCA patients (n = 133) compared with the healthy controls with the exception of a lower frequency of HLA-DRB1*0405 in the patient group (odds ratio [OR], 0.1 [CI0.02 to 1.2]; P =.04). The distribution of DRB1 alleles was very similar between PMR patients and controls. However, DRB1*0401 (OR, 3.1 [1.1 to 8.6]; P =.02) and DRB1*0404 (OR, 3.5 [0.97 to 12.9]; P =.04) were overrepresented in patients with GCA compared with the control group. DRB1*04 (OR, 1.9 [0.96 to 3.8]; P =.06), especially *0401 (OR, 2.8 [1 to 7.7]; P =.04), and DRB1*07 (OR, 2.3 [1.2 to 4.6]; P =.01) were more frequent in GCA than in PMR. Frequency of the DRYF 28-31 motif was similar among GCA (79.5%), PMR (89.9%), and controls (87.9%) and did not confer any significant risk of the development of systemic vasculitis. We also compared the DRB1 allele distribution in patients with classic PMR (n = 58) and those with an erythrocyte sedimentation rate (ESR) <40 mm/hour (n = 31). Patients with classic PMR expressed DRB1*07 less frequently (OR, 0.4 [0.1 to 1]; P =.04) and had a higher frequency of the DRYF 28-31 motif (94.8% vs 80.6%; P =.03) than patients with ESR < 40. Within the GCA group, DRB1 alleles were not predictive for the development of severe ischemic complications. However, the development of relapses in patients with PMR was associated with a higher frequency of DRB1*09 (5.6% vs 0%; P =.04).
CONCLUSIONS: Our data suggest that the HLA-DRB1 alleles associated with susceptibility for developing PMR and GCA are different. Whether PMR with low ESR represents a different clinical subset of the disease should be clarified in a larger sample of patients. HLA-DRB1 genes might predict the presence of relapses in PMR, but they do not seem to be indicators of severe disease in GCA patients.

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Year:  2004        PMID: 15305244     DOI: 10.1016/j.semarthrit.2003.12.001

Source DB:  PubMed          Journal:  Semin Arthritis Rheum        ISSN: 0049-0172            Impact factor:   5.532


  13 in total

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Review 2.  Diagnosis, differential diagnosis and treatment of polymyalgia rheumatica.

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6.  Bayesian analysis of genetic association across tree-structured routine healthcare data in the UK Biobank.

Authors:  Adrian Cortes; Calliope A Dendrou; Allan Motyer; Luke Jostins; Damjan Vukcevic; Alexander Dilthey; Peter Donnelly; Stephen Leslie; Lars Fugger; Gil McVean
Journal:  Nat Genet       Date:  2017-07-31       Impact factor: 38.330

7.  Gene expression profiling in patients with polymyalgia rheumatica before and after symptom-abolishing glucocorticoid treatment.

Authors:  Frederik Flindt Kreiner; Rehannah Borup; Finn Cilius Nielsen; Peter Schjerling; Henrik Galbo
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8.  HLA-DRB1 allelic epitopes that associate with autoimmune disease risk or protection activate reciprocal macrophage polarization.

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Journal:  Sci Rep       Date:  2021-01-28       Impact factor: 4.379

Review 9.  The Immunopathology of Giant Cell Arteritis Across Disease Spectra.

Authors:  Michelle L Robinette; Deepak A Rao; Paul A Monach
Journal:  Front Immunol       Date:  2021-02-25       Impact factor: 7.561

10.  Association of HLA-DRB1 amino acid residues with giant cell arteritis: genetic association study, meta-analysis and geo-epidemiological investigation.

Authors:  Sarah Louise Mackie; John C Taylor; Lubna Haroon-Rashid; Stephen Martin; Bhaskar Dasgupta; Andrew Gough; Michael Green; Lesley Hordon; Stephen Jarrett; Colin T Pease; Jennifer H Barrett; Richard Watts; Ann W Morgan
Journal:  Arthritis Res Ther       Date:  2015-07-30       Impact factor: 5.156

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