PO.CL05.09 · 临床研究
胸腺瘤相关重症肌无力中自身反应组的表征
Characterizing the autoreactome in thymoma-associated myasthenia gravis
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
胸腺上皮性肿瘤(TET),包括胸腺瘤(TMM),是起源于胸腺的罕见前纵隔恶性肿瘤,胸腺是生命早期T细胞成熟所必需的器官。副肿瘤性自身免疫性疾病(AD)常伴随TMM出现,可能是由于肿瘤保留但失调的T细胞加工能力,导致阴性选择缺陷及自身反应性T细胞的出现。重症肌无力(MG)发生于约30-50%的TMM患者中,几乎所有TMM相关MG(TAMG)个体都携带乙酰胆碱受体(AChR)抗体,常伴随针对其他骨骼肌蛋白(如titin和ryanodine受体)的反应性。尽管TAMG以自身反应性免疫成分的复杂网络为特征,但相关自身抗体的广度和功能相关性仍知之甚少。我们假设,与非自身免疫对照相比,TAMG患者表现出更大的循环自身抗体多样性。
利用来自印第安纳大学Simon综合癌症中心和乔治华盛顿大学重症肌无力研究实验室的生物样本,我们对TAMG患者及年龄匹配的健康对照的血清进行了自身反应组图谱分析。样本采用蛋白质自组装分子索引(MIPSA;Infinity Bio)进行检测,这是一个高通量DNA条形码抗原展示平台。该筛选涵盖>16,000个全长蛋白和约400,000个肽序列。
完成了40例TAMG患者和14例对照的自身反应组分析。TAMG队列的平均年龄为58.7岁;22例(55%)为女性。26例(65%)患者AChR抗体阳性,无一例有MuSK抗体,1例(2.5%)血清阴性,13例(32.5%)血清学状态未知。WHO TET亚型包括A型(2.5%)、AB型(15%)、B1型(12.5%)、B2型(40%)、B3型(20%)、化生型(2.5%)和未知(7.5%)。总体上,鉴定出4,724个蛋白和6,553个肽为自身抗体靶标,其中2,688个蛋白和4,890个肽在TAMG中独特富集。尽管TAMG患者表现出比对照更多数量的独特自身抗体,但这一差异未达到统计学显著性。值得注意的是,在23例(57.5%)TAMG受试者中观察到干扰素-alpha(IFN-alpha)自身反应性,其中14例伴有相应的IFN-alpha肽反应性。在20例有IFN-alpha抗体的患者中,我们发现了针对P2X4受体和TRIM46的新反应性,这两种蛋白与免疫调节和神经肌肉信号传导有关。这些发现提示TAMG中存在更广泛且此前未被识别的自身抗体图景。正在进行的研究将评估这些特征的特异性,纳入无MG的TMM患者,并将自身反应模式与MG相关临床特征相关联。
查看英文原文 English abstract
Thymic epithelial tumors (TETs), including thymomas (TMMs), are rare anterior mediastinal malignancies arising from the thymus, an organ essential for early-life T-cell maturation. Paraneoplastic autoimmune disorders (ADs) frequently accompany TMMs, likely due to the tumor's retained, but dysregulated capacity for T-cell processing, leading to defective negative selection and emergence of autoreactive T cells. Myasthenia gravis (MG) occurs in approximately 30-50% of patients with TMM, and nearly all individuals with TMM-associated MG (TAMG) harbor acetylcholine receptor (AChR) antibodies, often accompanied by reactivity against additional skeletal muscle proteins such as titin and ryanodine receptors. Although TAMG is characterized by a complex network of autoreactive immune elements, the breadth and functional relevance of associated autoantibodies remain poorly understood. We hypothesized that TAMG patients exhibit greater diversity of circulating autoantibodies compared with non-autoimmune controls.
Using biospecimens from the Indiana University Simon Comprehensive Cancer Center and the George Washington University Myasthenia Gravis Research Laboratory, we performed autoreactome profiling of sera from TAMG patients and age-matched healthy controls. Samples were interrogated using Molecular Indexing of Proteins by Self-Assembly (MIPSA; Infinity Bio), a high-throughput DNA-barcoded antigen display platform. The screening encompassed >16,000 full-length proteins and ~400,000 peptide sequences.
Autoreactome analysis was completed for 40 TAMG patients and 14 controls. The TAMG cohort had a mean age of 58.7 years; 22 (55%) were female. Twenty-six (65%) patients were AChR-antibody positive, none had MuSK antibodies, one (2.5%) was seronegative, and 13 (32.5%) had unknown serologic status. WHO TET subtypes included A (2.5%), AB (15%), B1 (12.5%), B2 (40%), B3 (20%), metaplastic (2.5%), and unknown (7.5%). Overall, 4,724 proteins and 6,553 peptides were identified as autoantibody targets, with 2,688 proteins and 4,890 peptides uniquely enriched in TAMG. Although TAMG patients demonstrated a higher number of unique autoantibodies than controls, this difference did not reach statistical significance. Notably, interferon-alpha (IFN-alpha) autoreactivity was observed in 23 (57.5%) TAMG subjects, including 14 with corresponding IFN-alpha peptide reactivity. Among 20 patients with IFN-alpha antibodies, we identified novel reactivity against P2X4 receptor and TRIM46, proteins implicated in immune regulation and neuromuscular signaling. These findings suggest a broader and previously unrecognized autoantibody landscape in TAMG. Ongoing studies will evaluate the specificity of these signatures, incorporate TMM patients without MG, and correlate autoreactive patterns with MG-related clinical features.
利益披露 Disclosure
R. Maniar,
Merus NV Other, Advisory Board.
AstraZeneca Advisory Board.
T. Bauman, None..
P. Sikorski, None..
K. Gilbert, None..
P. J. Loehrer, None..
H. Kaminski, None..
L. Kusner, None.