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深度免疫型和集群识别了在初级Sjögren病中预测淋巴瘤的生物标志物

Cindy Marques^1,2, Paul Régnier^1,2, Anna Maciejewski-Duval^1,2

¹Sorbonne Université, AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Department of Internal Medicine and Clinical Immunology, Paris, France ; Centre de Référence des Maladies Auto-Immunes Systémiques Rares, Centre de Référence des Maladies Auto-Inflammatoires et de l'Amylose inflammatoire (CEREMAIA), F-75013, Paris, France.

Arthritis & rheumatology (Hoboken, N.J.)

|April 28, 2025

概括

新的生物标志物,包括特定的B细胞和T细胞种群,可以预测非霍奇金细胞.

科学领域:

免疫学免疫学免疫学
在瘤学瘤学.
类风湿病学类风湿病学

背景情况:

主要Sjögren病 (pSD) 患者患非霍奇金淋巴瘤 (NHL-pSD) 的风险增加.
目前,缺乏可靠的生物标志物来预测PSD患者的NHL发展.
早期识别NHL风险对于及时干预和改善患者结果至关重要.

研究的目的:

在患有原发性Sjögren病的患者中发现可预测NHL的新生物标志物.
评估这些潜在生物标志物的诊断性能.
探索生物标志物与特定NHL亚型的关联.

主要方法:

分析了206名pSD患者的队列,分为pSD,淋巴增殖性pSD (Arl-pSD) 和NHL-pSD组.
进行了B细胞和T细胞的深流细胞计免疫型测定.
血清IFNα水平,临床数据和组织病理学发现被整合为综合分析.

主要成果:

CD11c+FcRL5+组织样记忆B细胞和IFNγ+TNFα+常规T细胞与pSD中的NHL显著相关.
与pSD相比,这些细胞群体在Arl-pSD和NHL-pSD组中表现出更多的丰富性.
与传统标记物相比,组合生物标记物小组在区分NHL-pSD方面表现出更高的灵敏度 (78.9%) 和特异性 (76.8%).

结论:

在pSD中预测NHL的新生物标志物已通过综合免疫类型和临床数据分析确定.
这些生物标志物有效地区分NHL-pSD患者.
鉴定到的标记物还可以在psd中区分不同的b细胞NHL亚型.

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