Hai-Jun Ma1,2, Qing-Feng Yin3, Yun Liu2, Yin Wu4, Tie-Chui Zhu2, Ming-Hao Guo2. 1. Department of Rheumatology & Immunology, Medical School of Nanjing University, Nanjing, China. 2. Division of Rheumatology, the First Affiliated Hospital, Xinxiang Medical University, Weihui, China. 3. Division of Endocrinology, the First Affiliated Hospital, Xinxiang Medical University, Weihui, China. 4. Division of Rheumatology, the Third Affiliated Hospital, Xinxiang Medical University, Xinxiang, China.
Abstract
BACKGROUND: In recent years, an ever-increasing number of alleles of human leukocyte antigen B*27 (HLA-B*27) have been identified. This study aimed to establish an updated method for HLA-B*27 subtyping, and to investigate the impact of HLA-B*27 polymorphisms on the clinical phenotype of spondyloarthritis (SpA). METHODS: Overall, 184 SpA patients were recruited for analyzing diversity of HLA-B*27 via an updated high-resolution polymerase chain reaction amplification with sequence specific primers (PCR-SSP). RESULTS: The prevalence of HLA-B*27 was 94.0%, and four subtypes were identified including HLA-B*2704 (77.5%), B*2705 (20.2%), B*2707 (1.7%), and B*2724 (0.6%). There was an obvious male predominance (P=.05) and markedly elevated C-reaction protein (CRP) in B*27 positive SpA (P<.01). In multivariate linear regression analysis, the elevated CRP was positively associated with HLA-B*27 positivity (regression coefficient B=46.1, P=.0003), grade of sacroiliitis (B=47.5, P=.0032), and male gender (B=20.4, P=.0041). Notably, a male predilection was also found in B*2705 positive SpA while B*2707 was associated with older age, higher positive family history, and higher prevalence of extra-articular features (all P<.05). CONCLUSIONS: In this study, an updated PCR-SSP technique to identify increasing alleles of HLA-B*27 was developed and their different effects on clinical manifestations of SpA were demonstrated. Genotyping of HLA-B*27 would shed light on our understanding of the pathogenesis of SpA.
BACKGROUND: In recent years, an ever-increasing number of alleles of human leukocyte antigen B*27 (HLA-B*27) have been identified. This study aimed to establish an updated method for HLA-B*27 subtyping, and to investigate the impact of HLA-B*27 polymorphisms on the clinical phenotype of spondyloarthritis (SpA). METHODS: Overall, 184 SpA patients were recruited for analyzing diversity of HLA-B*27 via an updated high-resolution polymerase chain reaction amplification with sequence specific primers (PCR-SSP). RESULTS: The prevalence of HLA-B*27 was 94.0%, and four subtypes were identified including HLA-B*2704 (77.5%), B*2705 (20.2%), B*2707 (1.7%), and B*2724 (0.6%). There was an obvious male predominance (P=.05) and markedly elevated C-reaction protein (CRP) in B*27 positive SpA (P<.01). In multivariate linear regression analysis, the elevated CRP was positively associated with HLA-B*27 positivity (regression coefficient B=46.1, P=.0003), grade of sacroiliitis (B=47.5, P=.0032), and male gender (B=20.4, P=.0041). Notably, a male predilection was also found in B*2705 positive SpA while B*2707 was associated with older age, higher positive family history, and higher prevalence of extra-articular features (all P<.05). CONCLUSIONS: In this study, an updated PCR-SSP technique to identify increasing alleles of HLA-B*27 was developed and their different effects on clinical manifestations of SpA were demonstrated. Genotyping of HLA-B*27 would shed light on our understanding of the pathogenesis of SpA.
Authors: A Cauli; G Dessole; M T Fiorillo; A Vacca; A Mameli; P Bitti; G Passiu; R Sorrentino; A Mathieu Journal: Rheumatology (Oxford) Date: 2002-12 Impact factor: 7.580
Authors: Martin Rudwaleit; Hildrun Haibel; Xenofon Baraliakos; Joachim Listing; Elisabeth Märker-Hermann; Henning Zeidler; Jürgen Braun; Joachim Sieper Journal: Arthritis Rheum Date: 2009-03
Authors: M A Brown; K D Pile; L G Kennedy; A Calin; C Darke; J Bell; B P Wordsworth; F Cornélis Journal: Ann Rheum Dis Date: 1996-04 Impact factor: 19.103
Authors: David M Evans; Chris C A Spencer; Jennifer J Pointon; Zhan Su; David Harvey; Grazyna Kochan; Udo Oppermann; Udo Opperman; Alexander Dilthey; Matti Pirinen; Millicent A Stone; Louise Appleton; Loukas Moutsianas; Loukas Moutsianis; Stephen Leslie; Tom Wordsworth; Tony J Kenna; Tugce Karaderi; Gethin P Thomas; Michael M Ward; Michael H Weisman; Claire Farrar; Linda A Bradbury; Patrick Danoy; Robert D Inman; Walter Maksymowych; Dafna Gladman; Proton Rahman; Ann Morgan; Helena Marzo-Ortega; Paul Bowness; Karl Gaffney; J S Hill Gaston; Malcolm Smith; Jacome Bruges-Armas; Ana-Rita Couto; Rosa Sorrentino; Fabiana Paladini; Manuel A Ferreira; Huji Xu; Yu Liu; Lei Jiang; Carlos Lopez-Larrea; Roberto Díaz-Peña; Antonio López-Vázquez; Tetyana Zayats; Gavin Band; Céline Bellenguez; Hannah Blackburn; Jenefer M Blackwell; Elvira Bramon; Suzannah J Bumpstead; Juan P Casas; Aiden Corvin; Nicholas Craddock; Panos Deloukas; Serge Dronov; Audrey Duncanson; Sarah Edkins; Colin Freeman; Matthew Gillman; Emma Gray; Rhian Gwilliam; Naomi Hammond; Sarah E Hunt; Janusz Jankowski; Alagurevathi Jayakumar; Cordelia Langford; Jennifer Liddle; Hugh S Markus; Christopher G Mathew; Owen T McCann; Mark I McCarthy; Colin N A Palmer; Leena Peltonen; Robert Plomin; Simon C Potter; Anna Rautanen; Radhi Ravindrarajah; Michelle Ricketts; Nilesh Samani; Stephen J Sawcer; Amy Strange; Richard C Trembath; Ananth C Viswanathan; Matthew Waller; Paul Weston; Pamela Whittaker; Sara Widaa; Nicholas W Wood; Gilean McVean; John D Reveille; B Paul Wordsworth; Matthew A Brown; Peter Donnelly Journal: Nat Genet Date: 2011-07-10 Impact factor: 38.330
Authors: Garan Jones; Luke C Pilling; Chia-Ling Kuo; George Kuchel; Luigi Ferrucci; David Melzer Journal: J Gerontol A Biol Sci Med Sci Date: 2020-01-20 Impact factor: 6.053