PO.IM01.17 · 免疫学

通过pGen-SHM图可视化的供体来源依赖性B细胞受体谱系模式揭示了造血干细胞移植后适应性免疫重建的差异

Donor source-dependent B cell receptor repertoire patterns visualized by the pGen-SHM plot reveal differences in adaptive immune reconstitution after hematopoietic stem cell transplantation

编号 6958 展板 6 时间 4/22 09:00–12:00 区域 Section 7 主讲 Sakuya Matsumoto
分会场 High-Dimensional Immune Profiling and Preclinical Modeling for Cancer Immunotherapy
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作者与单位 Authors & Affiliations

Sakuya Matsumoto1, Yohei Funakoshi1, Kimikazu Yakushijin1, Goh Ohji2, Takaji Matsutani1, Hidetomo Takakura1, Yuri Okazoe-Hirakawa1, Rina Sakai1, Yumiko Inui1, Taiji Koyama1, Yoshiaki Nagatani1, Keiji Kurata1, Shiro Kimbara1, Shinichiro Kawamoto1, Naomi Kiyota1, Hironobu Minami1

1Division of Medical Oncology/Hematology, Department of Medicine, Kobe University Hospital and Graduate School of Medicine, Kobe, Japan,2Division of Infection Disease Therapeutics, Department of Microbiology and Infectious Diseases, Kobe University Hospital and Graduate School of Medicine, Kobe, Japan

摘要 Abstract

中文摘要
背景 目前尚未建立可靠的方法来监测异基因造血干细胞移植(HSCT)后的适应性免疫重建,使得供体来源依赖性免疫重建差异的诸多方面仍不明确。在此,我们开发了一种新方法,即"生成概率(pGen)-体细胞高频突变(SHM)图(pGen-SHM图)",以客观、直观地监测HSCT后的长期免疫重建。 方法 我们对6例脐带血移植(CBT)(21份样本)和6例骨髓移植(BMT)患者(14份样本)在HSCT后两个月至约两年期间的外周血单个核细胞(PBMC)进行了纵向B细胞受体(BCR)谱系分析。以12名健康成人的PBMC作为对照。pGen值代表重组过程生成序列的概率,使用OLGA进行计算。SHM率通过与参考V基因的核苷酸水平一致性来确定。谱系的成熟度通过使用核密度估计绘制pGen与SHM率的二维概率密度分布来可视化,我们将其命名为pGen-SHM图。 结果 CBT后,高pGen(> 1e-15)和低SHM(< 4%)的比例均与HSCT后天数强烈相关(分别为r = -0.86和r = -0.91),并逐渐接近健康成人所观察到的水平。此外,图分析揭示了CBT后期间从pGen高SHM低到pGen低SHM高群体的连续转变。这一发现通过公开可用的0至15岁健康个体数据集得到了验证,后者显示出类似的年龄相关性转变。相比之下,BMT后高pGen(> 1e-15)和低SHM(< 4%)的比例在第67天时已接近健康成人水平,并在两年内变化很小。值得注意的是,图分析在BMT后早期识别出两个不同的群体,即pGen高SHM低和pGen低SHM高;后者在约六个月时消失,而前者逐渐向pGen低SHM高转变,类似于CBT后观察到的模式。随后我们对BMT后pGen-SHM图中识别出的两个群体进行了详细分析。与pGen高SHM低群体相比,pGen低SHM高群体的IgG1类别转换序列频率较低,而IgG2类别转换序列频率较高。这些发现提示pGen低SHM高代表移植物来源的成熟B细胞,而pGen高SHM低对应于来源于造血干细胞的新生成和正在成熟的B细胞。 结论 pGen-SHM图客观、直观地捕捉到了HSCT后依赖于供体来源的不同适应性免疫重建模式。
查看英文原文 English abstract
Background A reliable method to monitor adaptive immune reconstitution after allogeneic hematopoietic stem cell transplantation (HSCT) has not been established, leaving many aspects of donor-source-dependent differences in immune reconstitution unclear. Here, we developed a new method, "probability of generation (pGen)-somatic hypermutation (SHM) plot (pGen-SHM plot)", to objectively and visually monitor long-term immune reconstitution after HSCT. Methods We conducted longitudinal B cell receptor (BCR) repertoire analysis on peripheral blood mononuclear cells (PBMCs) from six cord blood transplantation (CBT) (21 samples) and six bone marrow transplantation (BMT) patients (14 samples) from two months to approximately two years post-HSCT. PBMCs from 12 healthy adults were used as controls. pGen value, representing the probability of sequence generation by the recombination process, was calculated using OLGA. SHM rates were determined by nucleotide-level identity to the reference V gene. Maturation of repertoire was visualized by plotting the two-dimensional probability density distribution of pGen and SHM rates using Kernel density estimation, which we termed the pGen-SHM plot. Results After CBT, the proportions of both high pGen (> 1e-15) and low SHM (< 4%) strongly correlated with post-HSCT days (r = -0.86 and r = -0.91, respectively) and gradually approached levels observed in healthy adults. Furthermore, the plot analysis revealed a continuous transition from the pGen high SHM low to pGen low SHM high population during the post-CBT period. This finding was validated using publicly available datasets of healthy individuals aged 0 to 15 years, which showed a similar age-related shift. In contrast, the proportions of high pGen (> 1e-15) and low SHM (< 4%) after BMT were already close to healthy adult levels by Day 67 and showed little change over two years. Remarkably, the plot analysis identified two distinct populations in the early post-BMT, pGen high SHM low and pGen low SHM high ; the latter disappeared at around six months while the former gradually shifted toward pGen low SHM high , resembling the pattern observed after CBT. We then performed a detailed analysis of the two populations identified in the pGen-SHM plot after BMT. The pGen low SHM high population showed a lower frequency of IgG1-switched sequences and higher frequency of IgG2-switched sequences compared with the pGen high SHM low population. These findings suggest that pGen low SHM high represents graft-derived mature B cells, whereas pGen high SHM low corresponds to newly generated and maturing B cells derived from hematopoietic stem cells. Conclusion The pGen-SHM plot objectively and visually captured distinct patterns of adaptive immune reconstitution after HSCT, depending on the donor source.
利益披露 Disclosure
S. Matsumoto, None.. Y. Funakoshi, None. K. Yakushijin, ICON Clinical Research ). Ohara Pharmaceutical ). KISSEI PHARMACEUTICAL ). G. Ohji, None.. T. Matsutani, None.. H. Takakura, None.. Y. Okazoe-Hirakawa, None.. R. Sakai, None.. Y. Inui, None.. T. Koyama, None.. Y. Nagatani, None.. K. Kurata, None.. S. Kimbara, None.. S. Kawamoto, None. N. Kiyota, Ascent Development Services ). Boehringer Ingelheim ). AbbVie ). Glaxo Smith Kline ). Ono Pharmaceutical ). Chugai Pharmaceutical ). Kyowa kirin ). H. Minami, Asahi kasei Pharma ). Novartis ). Bayer Yakuhin ). Nippon Kayaku ). Daiichi-Sankyo ). Sumitomo Pharma ). Taiho Pharmaceutical ). Kyowa Kirin ). Otsuka Pharmaceutical ). TEIJIN PHARMA ). Chugai Pharmaceutical ).

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