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主要基因相容性复合体匹配器:一种基于in silico的算法,用于分析跨物种非人类灵长类动物,猪和人类主要基因相容性复合体在氨基酸水平上的兼容性

Nicolas De Bie¹, Joseph M Ladowski², Henry Chapman³

¹Department of Biomedical Engineering and Health Systems, KTH Royal Institute of Technology, Stockholm, Sweden.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons

|November 6, 2025

概括

一个新的算法比较了物种之间主要基因相容性复合体 (MHC) 的差异,有助于异种移植. 该工具有助于评估等待移植的高度敏感患者的风险.

科学领域:

免疫学免疫学免疫学
移植科学移植科学
生物信息学是一种生物信息学.

背景情况:

异种移植正在进展,为高度敏感的患者提供了对主要组织相容性复合物 (MHC) 分子抗体的希望.
目前,没有标准化的方法来比较物种之间的MHC差异,这阻碍了异种移植的研究和应用.
主体组织相容性复合体 (MHC) 匹配对于移植成功至关重要,特别是在非人类灵长类动物之间的异种移植和异种移植中.

研究的目的:

开发和验证一种新的算法,用于比较和排名物种间的MHC相似性和差异性.
提供一种工具,用于对异种移植和非人类灵长类动物全种移植的风险评估.
帮助预测高度敏感患者的负面交叉匹配测试结果.

主要方法:

从免疫多态数据库-MHC中构建了猪, rhesus 和人类氨基酸 MHC 序列的数据库.
与共同共识对齐的序列和计算的相对溶剂可访问性得分.
与人类白细胞抗原 (HLA) Eplet Registry 进行了鉴定,并与 HLAMatchmaker 进行了对比.

主要成果:

与HLAMatchmaker相比,该算法表现良好,具有高的皮尔森相关系数 (r2为I类MHC的0.72和II类MHC的0.74).
确定了几种人类白细胞抗原 (HLA) 氨基酸基因,这些氨基酸基因在猪白细胞抗原等位基因中不存在.
该算法成功地对物种之间的MHC相似性和差异进行了排名.

结论:

开发的算法有效地比较跨物种的MHC序列,这对于推进异种移植至关重要.
这种工具可以对高度敏感的患者进行风险评估和预测交叉匹配结果.
这些发现支持在异种移植和非人类灵长类动物全种移植场景中使用该算法.

关键词:

HLA匹配制造商匹配制造商所有的抗体.计算器移植移植标志性表现物 (Epitopes) 是一种表现物.子子子子腎臟移植腎臟移植敏感化敏感化异源活性抗体的抗体.异种移植异种移植

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