年龄对华东地区初次造血干细胞移植前受者体内已形成的抗-HLA和抗-MICA抗体特异性分布的影响。

IF 5.2 2区 医学 Q1 GERIATRICS & GERONTOLOGY
Qinqin Pan, Xiao Ma, Yajie You, Yuejiao Yu, Su Fan, Xiaoyan Wang, Mengyuan Wang, Ming Gao, Guangming Gong, Kourong Miao, Jie Shen, Xiaoyu Zhou
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引用次数: 0

摘要

背景:随着造血干细胞移植(HSCT)技术的发展,越来越多的老年患者开始接受异基因造血干细胞移植,而老年血液恶性肿瘤患者从中获益最大。在 HLA 不匹配的异基因造血干细胞移植中,预先形成的供体特异性人类白细胞抗原(HLA)抗体(DSA)与移植失败有关,而无 DSA 是选择供体的主要标准。除输血、妊娠或既往移植等致敏事件外,年龄的增长会从数量和质量上影响体液免疫反应。在初次造血干细胞移植前评估不同年龄组的抗 HLA 和 MHC I 类链相关抗原 A(MICA)特异性抗体的流行率和分布情况,可提供在老龄化影响下的 HLA 和 MICA 特异性抗体概况,从而为避免预先进行 DSA 以选择合适的 HLA 不匹配供体提供有意义的信息:结果:抗 HLA I 类、II 类和抗 MICA 抗体的分布在三个年龄组中无明显差异,但老年人抗 HLA I 类、II 类抗体的阴性率明显低于年轻人,而 MICA 抗体的阳性率(最大平均荧光强度(MFI)> 5000)则高于年轻人。三个年龄组针对 HLA -A、-B、-C、-DR、-DQ、-DP 和 MICA 抗原的抗体特异性分布基本一致。抗 HLA I 类抗体特异性较高的是 A80、A68;B76、B45;Cw17,这些抗体在中国人中不太可能成为 DSA。DR7、DR9、DQ7、DQ8和DQ9最有可能成为潜在的DSA:结论:随着年龄的增长,抗-HLA 和抗-MICA 抗体的流行率略有上升。结论:在华东地区等待初次造血干细胞移植的受者中,抗HLA和抗MICA抗体的发生率随着年龄的增长而略有增加,但年龄对HLA-A、-B、-C、-DR、-DQ、-DP和MICA抗原抗体特异性频率的分布影响较小。三个年龄组发生先形成的DSA的风险基本一致,老年组由于抗MICA抗体阳性率较高,可能更有利于HLA不匹配造血干细胞移植。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ageing on the impact of distribution about preformed anti-HLA and anti-MICA antibody specificities in recipients prior to initial HSCT from East China.

Background: With the development of Hematopoietic Stem Cell Transplantation (HSCT) technology, increasing numbers of elderly patients were undergoing allogeneic HSCT and elderly patients with hematologic malignancies could benefit most from it. Preformed donor-specific human leukocyte antigen (HLA) antibodies (DSA) were associated with graft failure in HLA-mismatched allogeneic HSCT and the absence of DSA was the main criterion of selecting the donor. Except for sensitization events such as transfusion, pregnancy or previous transplantation, ageing affects the humoral immune response both quantitatively and qualitatively. To evaluate the prevalence and distribution of anti-HLA and antibodies of MHC class I chain related antigens A (MICA) specificities in different age groups before initial HSCT would provide HLA and MICA specific antibody profiles under the impact of ageing, which could provide meaningful information in the process of selecting suitable HLA-mismatched donors by avoiding preformed DSA.

Results: There were no significant differences in the distribution of anti-HLA class I, class II and anti-MICA antibodies among the three age groups in this study except that a significant lower negative ratio of anti-HLA class I, class II antibodies and higher positive rate of MICA antibodies with maximum mean fluorescent intensity (MFI) > 5000 in the elderly than in young age group. The distribution of antibody specificities against HLA -A, -B, -C, -DR, -DQ, -DP and MICA antigens in the three age groups were generally consistent. The anti-HLA class I antibody specificities with higher frequencies were A80,A68;B76,B45;Cw17, which were unlikely to become DSA in Chinese. Anti-HLA class II antibody specificities were more likely to become potential DSA than class I.DR7, DR9, DQ7, DQ8 and DQ9 were most likely to become potential DSA.

Conclusions: The prevalence of anti-HLA and anti-MICA antibodies increased slightly as age increased. While ageing had a small impact on the distribution of antibody specificity frequencies against HLA-A, -B, -C, -DR,-DQ, -DP and MICA antigens in recipients awaiting initial HSCT from East China. The risk of developing preformed DSA was basically consistent in the three age groups and the elderly group might be more favorable in HLA-mismatched HSCT due to higher positive rate of anti-MICA antibody.

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来源期刊
Immunity & Ageing
Immunity & Ageing GERIATRICS & GERONTOLOGY-IMMUNOLOGY
CiteScore
10.20
自引率
3.80%
发文量
55
期刊介绍: Immunity & Ageing is a specialist open access journal that was first published in 2004. The journal focuses on the impact of ageing on immune systems, the influence of aged immune systems on organismal well-being and longevity, age-associated diseases with immune etiology, and potential immune interventions to increase health span. All articles published in Immunity & Ageing are indexed in the following databases: Biological Abstracts, BIOSIS, CAS, Citebase, DOAJ, Embase, Google Scholar, Journal Citation Reports/Science Edition, OAIster, PubMed, PubMed Central, Science Citation Index Expanded, SCImago, Scopus, SOCOLAR, and Zetoc.
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