Literature DB >> 25382027

Association of HLA-DR4/HLA-DRB1*04 with Vogt-Koyanagi-Harada disease: a systematic review and meta-analysis.

Tingkun Shi1, Wenjuan Lv1, Li Zhang1, Jianhuan Chen1, Haoyu Chen1.   

Abstract

Human leukocyte antigen (HLA)-DR4/HLA-DRB1*04 has been reported to be a risk factor for Vogt-Koyanagi-Harada disease (VKH) with various strength of association. Its sub-alleles were also found to be associated with VKH. However the results were inconsistent. In this study, we systematically searched the related literature, pooled the odds ratios (ORs) and 95% confidence interval (CI) of association of HLA-DR4/HLA-DRB1*04 or its sub-alleles with VKH from individual studies, and explored the potential source of heterogeneity. A total of 1853 VKH patients and 4164 controls from 21 articles were included in this meta-analysis. The pooled OR of association of HLA-DR4/HLA-DRB1*04 and VKH was 8.42 (95% CI: 5.69-12.45). There were significant heterogeneity (I(2) = 71%). Subgroup analysis indicated that ethnicity was the source of heterogeneity (all I(2) = 0, ORs ranged from 2.09-13.69 in subgroups). The sub-alleles, HLA-DRB1*0404 (OR = 2.57), 0405 (OR = 10.31) and 0410 (OR = 6.52) increased the risk of VKH; 0401 (OR = 0.21) protected VKH; while other sub-alleles were not associated with VKH. Our meta-analysis confirmed the association between VKH and HLA-DR4/DRB1*04, found the strength of association is different in different ethnic groups, and identified HLA-DRB1*0404, 0405 and 0410 as risk sub-alleles while 0401 as protective sub-allele.

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Year:  2014        PMID: 25382027      PMCID: PMC4225552          DOI: 10.1038/srep06887

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Vogt-Koyanagi-Harada disease (VKH) is a systematic autoimmune disorder that affects tissues containing melanin such as the eyes, inner ears, meninges, and skin1. The ocular manifestations are characterized by chronic bilateral, diffuse, granulomatous uveitis, which may lead to blindness. Several risk factors have been identified for VKH, including dark skin pigmentation, females, aged between 20 to 50 years, and genetic factors234. Human leukocyte antigen (HLA) system is the locus of genes that encode for major histocompatibility complex (MHC), which is a set of cell surface molecules mediating interaction of leukocyte5. Therefore, HLA plays an important role in immune system function as well as in the pathogenesis of autoimmune diseases, including VKH6. Almost 40 years ago, the association of HLA-BW22J and VKH was reported7. However, it could not be replicated in subsequent studies8. Later on, more articles have been published on the association of different types of HLA and VKH. Among them, the HLA-DR4 serotype, its corresponding allele HLA-DRB1*04 were mostly investigated910. Their results, however, are inconsistent, especially on the strengths of association with reported risk increases variably. The sample size of most studies is small. Recently, there is a review summarizing the genetic studies of VKH11. However, it is a narrative review and did not quantitatively synthesize the results from individual studies. In this study, we performed a systematic review and meta-analysis to investigate the association between VKH withHLA-DR4/HLA-DRB1*04 and its sub-alleles, combine the small sample size studies and explore the sources of the inconsistency.

Methods

Search strategy

Literature search was performed on MEDLINE, Science citation index, SCOPUS databases using PubMed, Web of Science and SCOPUS search engines up to June 1, 2014. The following medical subject headings and keywords were used for search strategy: “human leukocyte antigen” OR “HLA” OR “major histocompatibility complex” OR “MHC” AND (“VKH” OR “Vogt Koyanagi Harada”). No language or year of publication restrictions was imposed.

Study selection

The retrieved records from literature search were reviewed by two reviewers independently (T.K.S, W.J.L). Any disagreement was solved by discussion and consensus together with a third author (H.Y.C). Included studies met the following pre-specified criteria: 1) Association study of HLA-DR4/HLA-DRB1*04 or its sub-alleles with VKH; 2) The number or percentage of HLA-DR4 serotype and/or HLA-DRB1*04 allele/sub-alleles must be provided in VKH cases and controls; 3) The type of article is an original research study, not a review, case report, or editorial comment. The studies that did not provide sufficient information even after contacting the corresponding author were excluded. Considering some studies may contain overlapping cases and/or controls, we paid close attention to the authors, study subject's geographic location, and numbers of subjects. For duplicated studies, we selected the publication that contained the most number of VKH cases.

Data extraction

Data extraction was carried out by two reviewers independently (T.K.S, W.J.L). Any disagreement was solved by discussion and consensus together with a third author (H.Y.C). The following data from each included study were collected: author, year of publication, study design, ethnicity, the mean age and gender of cases and controls, diagnostic criteria used for VKH, counts or frequencies of HLA-DR4/HLA-DRB1*04 and its sub-alleles in cases and controls.

Risk of bias assessment

The quality evaluation was also carried out by two reviewers (T.K.S, W.J.L) independently. Further independent review and resolution by a third reviewer (C.H.Y.) was sought if the two reviewers disagreed. The risk of bias assessment considered 6domainsas suggested in the HuGENet handbook12: bias in ascertainment of cases, bias in ascertainment of controls, bias in genotyping controls, bias in population stratification, confounding bias, multiple test and selective outcome reports. Each item was classified by “yes/no” to risk of bias or as “unclear” if there was no sufficient information to assess.

Statistical analysis

Statistical analysis was performed using Review Manager (version 5.2.6.0; Copenhagen: The Nordic Cochrane Centre, The Cochrane Collaboration, 2012) and STATA (version 419.12.0.866, STATA Corp LP, College Station, Texas).For individual study, we calculated the odds ratio (OR) and 95% confidence interval (CI), pooled these data to compare HLA-DR4/HLA-DRB1*04 frequencies between VKH patients and controls. Between-study heterogeneity was assed using the Q statistics and quantified using the I2 statistic (I2 = 0–25%, low heterogeneity; I2 = 25%–50%, moderate heterogeneity; I2 = 50%–75% large heterogeneity; I2 = 75%–100%, extreme heterogeneity)13. Pooled ORs and 95% CIs were computed using fix-effects models when I2 < 25%, or random-effect models when I2 > = 25%. We performed ethnicity-based sub-group analysis to investigate the strength of association in different ethnicity. If ethnicity cannot explain heterogeneity, univariate random-effects meta-regression was used to investigate the potential sources of heterogeneity, such as, typing technique, publication language, and publication year. Funnel plot and Egger's test were used to assess publication bias, sensitivity analyses were conducted by Exclusion sensitivity plot analysis. P value less than 0.05 were considered significantly except for Q test and Egger's test, where 0.1 was considered as significant level.

Results

General characteristic of included studies

Studies selection process was showed in Figure 1. Among 404 records retrieved from databases, 169 were excluded in initial screening, 197 were excluded because they were unrelated studies, reviews, case reports or animal studies. After reviewing the full text, 11 studies were excluded because they had overlapping information in cases and/or controls with another publications1415161718192021222324, and 4 were excluded because they investigated other variants but not HLA-DR4/HLA-DRB1*0425262728, two were excluded because there was no control2930. Eventually, 21 studies6910313233343536373839404142434445464748 were retained that contributed data to association of VKH and HLA-DR4/HLA-DRB1*04. There were 19 articles in English, 2 in Chinese. The characteristics of included studies are presented in Table 1.
Figure 1

Flow diagram showing the result of literature screening for meta-analysis.

Table 1

The general characteristic information of included studies

Year(Ref.)First authorCountryMean age(Y) of VKHMean age(Y) of control%Male of VKH%Male of controlTyping techniqueDiagnostic criteriaEthnicityStudy design
19906Davis et al.U.S.A.NANANANASerologicalNAHispanicCase-control, ethnic-matched
199132Zhao et al.ChinaNANA36.2NASerologicalA.U.S./Sugiura/Snyder/TesslerEastern AsianCase-control, ethnic-matched
199133Numaga et al.JapanNANANANASerologicalNAEastern AsianCase-control, ethnic-matched
199234Zhang et al.ChinaNANANANASerologicalSugiuraEastern AsianCase-control, ethnic-matched
199410Islam et al.JapanNANA50.9NASerological/genotypingNAEastern AsianCase-control, ethnic-matched
19949Shindo et al.Japan22-75NA42.9NASerological/genotypingA.U.SEastern AsianCase-control, ethnic-, age-, sex-, matched
199535Weisz et al.U.S.ANANA24NASerologicalNAHispanicCase-control, ethnic-, age-, sex-, matched
199636Pivetti et al.Italy39.5NA12.4NASerologicalSugiuraItalianCase-control, ethnic-matched
199737Xiao et al.China19-5617-6061.161.3GenotypingSnyderEastern AsianCase-control, ethnic-, age-, sex-, matched
199838Arellanes et al.Mexico36.79NA25NASerologicalA.U.SEastern AsianCase-control, ethnic-matched
199839Goldberg et al.Brazil10-54NA35.1NASerological/genotypingA.U.SmixedCase-control, ethnic-matched
200040Kim et al.KoreaNANA38.9NAGenotypingA.U.SEastern AsianCase-control, ethnic-matched
200041Zhang et al.China35.522-6547.148.4GenotypingA.U.SEastern AsianCase-control, ethnic-, age-, sex-, matched
200442Levinson et al.U.S.A.NANANANAGenotypingRevised A.U.S.HispanicCase-control, ethnic-matched
200643Horie et al.JapanNANANANAGenotypingRevised A.U.S.Eastern AsianCase-control, ethnic-,matched
200844Hou et al.ChinaNANA128NAGenotypingRevised A.U.S.Eastern AsianCase-control, ethnic-, age-, sex-, matched
200945Iqniebi et al.Saudi Arabia33.6 ± 12.4NA40NAGenotypingRevised A.U.S.Saudi ArabiaCase-control, ethnic-matched
201046Tiercy et al.India405626.662.5GenotypingRevised A.U.S.IndianCase-control, ethnic-,age-,sex-, matched
201131Alaez et al.MexicoNANANANAGenotypingRevised A.U.S.HispanicCase-control, ethnic-matched
199848Normura et al.JapanNANANANASerological/genotypingNAEastern AsianCase-control, ethnic-matched
200747Gupta et al.India32.5NA29.3NAGenotypingRevised A.U.S.IndianCase-control, ethnic-,age-,sex-, matched

Case means VKH patients, Include White, 23 (62.1%), Black, 2 (5.4%), Asiatic, 2(5.4%), Mixed Black and White, 10 (27.0%).

*A.U.S: America Uveitis Society; Revised A.U.S.: revised guidelines of the American Uveitis Society; NA: Not Available.

Study bias assessment

Possible bias of the included studies is showed in Table 2. Overall the quality of included studies was good. Two (10%) studies1049 had bias of ascertainment in cases, 2 (10%) studies4245 were unclear in bias in population stratification, and one (5%) study10 had bias in ascertainment of controls. No study had bias in genotyping controls, confounding bias or selective outcome report.
Table 2

Assessment of potential bias in included studies

YearAuthorBias in ascertainment of casesBias in ascertainment of controlsBias in genotyping controlsBias in population stratificationConfounding biasMultiple test and Selective outcome reports
1990Davis et al.NONONONONONO
1994Shindo et al.NONONONONONO
1994Islam et al.YESYESNONONONO
1995Weisz et al.NONONONONONO
1996Pivetti et al.NONONONONONO
1997Xiao et al.NONONONONONO
1998Arellanes et al.NONONONONONO
1998Goldberg et al.NONONONONONO
2000Kim et al.NONONONONONO
2000Zhang et al.NONONONONONO
2004Levinson et al.NONONOunclearNONO
2006Horie et al.NONONONONONO
2008Hou et al.YESNONONONONO
2009Iqniebi et al.NONONOunclearNONO
2010Tiercy et al.NONONONONONO
2011Alaez et al.NONONONONONO
1992Zhang et al.NONONONONONO
1991Numaga et al.NONONONONONO
1991Zhao et al.NONONONONONO
2007Gupta et al.NONONONONONO
1998Normura et al.NONONONONONO

Association of HLA-DR4/DRB1*04with VKH

In 19 case-control studies investigating the association of HLA-DR4/HLA-DRB1*04 with VKH, the ORs of individual studies ranged from 1.57 to 125.00. The heterogeneity across studies was high with I2 = 71%, p < 0.00001. Sub-group analysis based on ethnicity showed the I2 = 0 in all four subgroups, with OR = 13.69 (95%CI: 10.58, 17.69), 8.67 (95%CI: 2.75, 27.31), 4.79 (95%CI: 3.24, 7.09) and 2.09 (95%CI: 1.25, 3.48) in Eastern Asians, Italians, Hispanics and Indians respectively. There was significant difference among the subgroups (I2 = 71%, p < 0.00001, Figure 2A). The pooled OR of all studies was 8.42 (95% CI: 5.69, 12.45). The funnel plot did not show any obvious evidence of asymmetry (Figure 2B), and the p value of Egger's test was 0.457. Therefore, publication bias was not evident in this meta-analysis. Exclusion sensitivity plot showed that pooled OR was not influenced by omitting any study (Figure 2C).
Figure 2

Meta-analysis of the association of HLA-DR4/HLA-DRB1*04 with Vogt-Koyanagi-Harada (VKH) disease.

(A): Forest plot showing the odds ratios (ORs) of VKH carrying HLA-DR4/HLA-DRB1*04 in individual studies, sub-groups based on ethnicity and the pooled results. (B): Funnel plots for positive rate of HLA-DR4/HLA-DRB1*04 between VKH cases and controls. (C). Exclusion sensitivity plot showing the results of pooled ORs after omitting each study.

Association of HLA- DRB1*04 sub-alleles with VKH

The association of HLA-DRB1*0401, 0402, 0403, 0404, 0405, 0406, 0407, 0408, 0410, 0411, 0417, 0437 with VKH was investigated (Table 3 and Figure 3). Among them, no statistically significant association was found between VKH with HLA-DRB1*0402, 0403, 0406, 0407, 0410, 0411, 0417, or 0437. HLA-DRB1*0401 investigated in 6 studies. The individual OR was statistically significant in only one study, but the pooled OR was 0.21 (95% CI: 0.07–0.65, I2 = 0%, Figure 3A). HLA-DRB1*0404 was investigated in 6 articles and only two of them reported significant association with VKH. The pooled OR was 2.57 (95% CI: 1.54–4.32, I2 = 0%, Figure 3D). HLA-DRB1*0410 was investigated in 8 studies. Statistically significant association of HLA-DRB1*0410 with VKH was reported in two of them and the pooled OR was 6.52 (95% CI: 3.23–13.18, I2 = 0%, Figure 3I). HLA-DRB1*0405 was investigated in 12 studies, and the pooled OR was 10.31 (95% CI: 5.56–19.11, I2 = 77%, Figure 3E). Meta-regression found that publication year, ethnicity or publication language cannot explain the between studies heterogeneity (all p > 0.05).
Table 3

Meta-analysis of the association of HLA-DRB1*04 sub-alleles with VKH

Sub-allelesNumber of publicationTotal casesTotal controlsPooled OR(95% CI)PI2 (%)Egger's test
DRB1*040163104630.21 (0.07,0.65)0.00700.899
DRB1*040231944110.90(0.29,2.77)0.8500.513
DRB1*04031171811981.24(0.62,2.46)0.55450.258
DRB1*040452856502.57(1.54,4.32)<0.0100.243
DRB1*040512771151210.31 (5.56,19.11)<0.01770.238
DRB1*040694547180.86(0.50,1.51)0.6100.543
DRB1*0407960310161.30(0.85,1.97)0.22260.410
DRB1*040863305030.84(0.24,3.00)0.7900.822
DRB1*041085468626.52(3.23,13.18)<0.0100.266
DRB1*041121563910.85(0.08,8.49)0.8961NA
DRB1*0417158600.51(0.04, 5.77)0.59NANA
DRB1*0437158601.04(0.06, 16.95)0.98NANA
Figure 3

Forest plots of the association of HLA-DRB1*04 sub-alleles with Vogt-Koyanagi-Harada (VKH) disease.

Discussion

The present meta-analysis, including 1853 VKH patients and 4164 controls from 21 articles, investigated the association of HLA-DR4/HLA-DRB1*04 and its sub-alleles with VKH. Our results indicate that HLA-DR4/HLA-DRB1*04 carriers have an increased risk of VKH with OR 8.42. The strength of this association is highest in Eastern Asian and lowest in Indians. Some of HLA-DRB1*04's sub-alleles HLA-DRB1*0404, 0405 and 0410 increased the risk of VKH; 0401 reduced risk of VKH; while 0402, 0403, 0406, 0407, 0410, 0411, 0417, or 0437 was not associated with VKH. The association of HLA-DR4/HLA-DRB1*04 with VKH was reported in various ethnic populations. Our meta-analysis confirms these previous reports on the association of HLA-DR4/HLA-DRB1*04 with VKH. VKH appears to occur commonly among communities with dark pigment such as Native American, Arabian, Eastern Asian and Indian but not in blacks of sub-Saharan Africans or Caucasians50. It is known that the strength of HLA-disease associations can vary among different racial groups51. Also, different racial groups can have distinct HLA associations with a common, clinically identified disease. With the power of meta-analysis, here we pooled all the published results of the association between VKH with HLA-DR4/HLA-DRB1*04 and demonstrated that ethnicity was the source of heterogeneity. The OR was 13.69 (95%CI: 10.58, 17.69), 8.67 (95%CI: 2.75, 27.31), 4.79CI (95%CI: 3.24, 7.09) and 2.09 (95%CI: 1.25, 3.48) in Eastern Asian, Italian, Hispanic and Indian respectively. In this meta-analysis, we not only confirmed the association of HLA-DR4/HLA-DRB1*04 with VKH, but also identified the sub-alleles, HLA-DRB1*0404, 0405, 0410 as the risk alleles of VKH, while HLA-DRB1*0401 as the protective allele for VKH. HLA genes and proteins are known to be highly polymorphic, i.e. they exist in many different forms among humans, and play an essential role in recognition of immune system52. HLA-DR is a MHC class II cell surface receptor, which displays peptides antigens produced from the HLA-DRB1 gene to the immune system. If the immune system recognizes the peptides as foreign (such as viral or bacterial peptides), it triggers a response to attack the invading viruses or bacteria. It was reported that VKH patients are sensitized to melanocyte epitopes, while patients with HLA-DRB1*0405 recognize a broader melanocyte-derived peptide repertoire53. The functional correlation of HLA-DRB1*0404, 0410 or 0401 with melanocyte epitopes has not been reported. Possibly HLA-DRB1*0404 and 0410 may have broader melanocyte-derived peptide repertoire as 0405, while HLA-DRB1*0401 may have narrower melanocyte epitopes. Among the sub-alleles of HLA-DRB1*04, HLA-DRB1*0405 was the most investigated allele. Statistically significant association of HLA-DRB1*0405 with VKH was reported in most original studies except in Levinson's article42. Our meta-analysis confirmed the positive association of HLA-DRB1*0405 with VKH, although there was some heterogeneity that cannot be explained. Statistical significant association of VKH with HLA-DRB1*0404, 0410 or 0401 was reported in only a few studies but not others. The inconsistency of results from different publications may be due to a small sample size in individual studies. With the power of meta-analysis, the sample size was pooled and increased, and we were able to resolve the inconsistency among publications and identify HLA-DRB1*0404 and 0410 as risk alleles while 0401 as protective allele. This meta-analysis suggests that in clinical practice, genotyping of HLA-DRB1*0404, 0410 and 0401 is recommended for VKH patients in addition to HLA-DRB1*0405. The genotyping of HLA-DRB1*0402, 0403, 0406, 0407, 0410, 0411, 0417, or 0437 is not necessary. Further studies are needed to investigate the functional implication of HLA-DRB1*0404, 0405, 0410 and 0401, which may provide further insight into the pathogenesis of VKH. Our study has some limitations. First, we did not identify the source of heterogeneity in the association of HLA-DRB1*0405 with VKH after exploring ethnicity, publication year and publication language. Some studies did not give detailed data such as onset/study age, gender percentage. Therefore we could not estimate them further in meta-regression. Second, there may be some original studies not retrieved by the current literature search. We did not search the Japanese database. Although some Japanese medical journals are indexed in PubMed, and Embase, we still cannot eliminate if some articles in Japanese or other language were missed. Third, the diagnostic criteria of VKH adopted in individual studies are different, which may contribute to the heterogeneity of association. In conclusion, this meta-analysis demonstrates a strong association between HLA-DR4/HLA-DRB1*04 and VKH. The strength of association was variable in different ethnicities. The sub-alleles, HLA-DRB1*0404, 0405, 0410 were risk factors of VKH, while HLA-DRB1*0401 was the protective factor.

Author Contributions

H.C. designed the study. T.S., W.L. and L.Z. conducted the study. T.S. and H.C. analyzed the data. T.S. wrote the main manuscript text. J.C. and H.C. revised the manuscript. All authors reviewed and approved the manuscript.
  45 in total

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Authors:  Yukihiro Horie; Yuko Takemoto; Akiko Miyazaki; Kenichi Namba; Satoru Kase; Kazuhiko Yoshida; Masao Ota; Yukiko Hasumi; Hidetoshi Inoko; Nobuhisa Mizuki; Shigeaki Ohno
Journal:  Mol Vis       Date:  2006-12-20       Impact factor: 2.367

2.  [The association of HLA-DR4 gene subtypes with Vogt-Koyanagi-Harada syndrome].

Authors:  T Xiao; Y Jiang; X You
Journal:  Zhonghua Yan Ke Za Zhi       Date:  1997-07

3.  Association of HLA with Vogt-Koyanagi-Harada syndrome in Koreans.

Authors:  M H Kim; M C Seong; N H Kwak; J S Yoo; W Huh; T G Kim; H Han
Journal:  Am J Ophthalmol       Date:  2000-02       Impact factor: 5.258

Review 4.  Vogt-Koyanagi-Harada disease.

Authors:  Francisco Max Damico; Szilárd Kiss; Lucy H Young
Journal:  Semin Ophthalmol       Date:  2005 Jul-Sep       Impact factor: 1.975

5.  Major histocompatibility complex and strong human leukocyte antigen-DRB1 and gender association with Vogt-Koyanagi-Harada syndrome in Mexican Mestizos.

Authors:  Carmen Aláez; Hilario Flores-A; Luz Elena Concha del Río; Andrea Munguía; Araceli Rodríguez; David García; Lourdes Arellanes; Clara Gorodezky
Journal:  Hum Immunol       Date:  2011-09-22       Impact factor: 2.850

6.  Revised diagnostic criteria for Vogt-Koyanagi-Harada disease: report of an international committee on nomenclature.

Authors:  R W Read; G N Holland; N A Rao; K F Tabbara; S Ohno; L Arellanes-Garcia; P Pivetti-Pezzi; H H Tessler; M Usui
Journal:  Am J Ophthalmol       Date:  2001-05       Impact factor: 5.258

7.  Clinical characteristics of Vogt-Koyanagi-Harada syndrome in Chinese patients.

Authors:  Peizeng Yang; Yalin Ren; Bing Li; Wang Fang; Qianli Meng; Aize Kijlstra
Journal:  Ophthalmology       Date:  2006-11-21       Impact factor: 12.079

8.  Characteristics of Vogt-Koyanagi-Harada disease in a French cohort: ethnicity, systemic manifestations, and HLA genotype data.

Authors:  S Abad; D Monnet; S Caillat-Zucman; S Mrejen; P Blanche; M Chalumeau; L Mouthon; R Dhote; A P Brézin
Journal:  Ocul Immunol Inflamm       Date:  2008 Jan-Feb       Impact factor: 3.070

9.  A study of KIR genes and HLA-C in Vogt-Koyanagi-Harada disease in Saudi Arabia.

Authors:  Atia Sheereen; Ameera Gaafar; Alia Iqneibi; Abdelmoneim Eldali; Khalid F Tabbara; Chaker Adra; Khaled Al-Hussein
Journal:  Mol Vis       Date:  2011-12-29       Impact factor: 2.367

10.  Small ubiquitin-like modifier 4 (SUMO4) polymorphisms and Vogt-Koyanagi-Harada (VKH) syndrome in the Chinese Han population.

Authors:  Shengping Hou; Peizeng Yang; Liping Du; Hongyan Zhou; Xiaomin Lin; Xiaoli Liu; Aize Kijlstra
Journal:  Mol Vis       Date:  2008-12-31       Impact factor: 2.367

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1.  Uveitis in Patients Treated with CTLA-4 and PD-1 Checkpoint Blockade Inhibition.

Authors:  Michel M Sun; Ralph D Levinson; Artur Filipowicz; Stephen Anesi; Henry J Kaplan; Wei Wang; Debra A Goldstein; Sapna Gangaputra; Robert T Swan; H Nida Sen; Lynn K Gordon
Journal:  Ocul Immunol Inflamm       Date:  2019-03-01       Impact factor: 3.070

Review 2.  Autoimmune vertigo: an update on vestibular disorders associated with autoimmune mechanisms.

Authors:  Francesca Yoshie Russo; Massimo Ralli; Daniele De Seta; Patrizia Mancini; Alessandro Lambiase; Marco Artico; Marco de Vincentiis; Antonio Greco
Journal:  Immunol Res       Date:  2018-12       Impact factor: 2.829

3.  Vogt-Koyanagi-Harada patients show higher frequencies of circulating NKG2Dpos NK and NK T cells.

Authors:  M Bonacini; L Cimino; L De Simone; E Bolletta; F Gozzi; A Soriano; F Muratore; A Zerbini; L Fontana; C Salvarani; S Croci
Journal:  Clin Exp Immunol       Date:  2020-12-27       Impact factor: 5.732

4.  CFI-rs7356506 polymorphisms associated with Vogt-Koyanagi-Harada syndrome.

Authors:  Ma-Li Dai; Xiu-Feng Huang; Qing-Feng Wang; Wei-Jun Cai; Zi-Bing Jin; Yuqin Wang
Journal:  Mol Vis       Date:  2016-01-14       Impact factor: 2.367

Review 5.  Vogt-Koyanagi-Harada syndrome - current perspectives.

Authors:  Abeir Baltmr; Sue Lightman; Oren Tomkins-Netzer
Journal:  Clin Ophthalmol       Date:  2016-11-24

6.  KIR and HLA Genotypes Implicated in Reduced Killer Lymphocytes Immunity Are Associated with Vogt-Koyanagi-Harada Disease.

Authors:  Ralph D Levinson; Madeline Yung; Akira Meguro; Elham Ashouri; Fei Yu; Nobuhisa Mizuki; Shigeaki Ohno; Raja Rajalingam
Journal:  PLoS One       Date:  2016-08-04       Impact factor: 3.240

Review 7.  Association of human leukocyte antigen (HLA)-DQ and HLA-DQA1/DQB1 alleles with Vogt-Koyanagi-Harada disease: A systematic review and meta-analysis.

Authors:  Bing Liu; Tuo Deng; Linxin Zhu; Jingxiang Zhong
Journal:  Medicine (Baltimore)       Date:  2018-02       Impact factor: 1.817

8.  Unusual Case of Vogt-Koyanagi-Harada Disease Associated with SAPHO Syndrome: A Case Report.

Authors:  Miyuki Hasegawa; Akira Fukutomi; Akiko Jinno; Kyoko Fujita; Motohiro Kamei
Journal:  Case Rep Ophthalmol       Date:  2018-03-29

9.  A case presentation of an IgA nephropathy patient with Vogt-Koyanagi-Harada syndrome.

Authors:  Quan Zhang; Xing Fan; Meng Tian; Hongling Han
Journal:  BMC Nephrol       Date:  2020-07-13       Impact factor: 2.388

10.  Unique clinical spectrum with distinguishing diagnostic features in Vogt-Koyanagi-Harada syndrome.

Authors:  Mamoona Sultan; Adeena Khan; Syed Shahid Habib; Dheyab Abdulsalam
Journal:  BMJ Case Rep       Date:  2019-12-29
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