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长期患有1型糖尿病的成年人血液免疫细胞概况与大脑血管并发症有关

Xuehui He¹, Xinhui Wang², Julia van Heck³

¹Department of Laboratory Medicine - Medical Immunology, Radboud University Medical Center, Nijmegen, Netherlands.

Frontiers in immunology

|July 16, 2024

概括

1型糖尿病 (T1D) 呈现异质性. 长期患有T1D的成年人被分为两种免疫特征:T1D-A组 (促炎,更高的并发症风险) 和T1D-B组.

科学领域:

免疫学免疫学免疫学
内分泌学在内分泌学.
糖尿病研究糖尿病研究

背景情况:

1型糖尿病 (T1D) 在发病,进展和并发症风险方面表现出显著的异质性.
疑似不同的疾病内型,在新诊断的患者中观察到改变的T和B细胞反应.
了解长期T1D中的免疫细胞概况可能会阐明疾病异质性.

研究的目的:

为了研究长期患有T1D的成年人的外周血液中的免疫细胞概况.
在T1D人口中识别出不同的免疫学子组.
为了将免疫特征与临床特征和并发症风险相关联.

主要方法:

成年T1D患者和健康对照 (HC) 接受了多色流细胞计.
机器学习 (弹性网分类) 和层次聚类分析了免疫细胞数据.
在T1D亚组和HC亚组之间比较了免疫特征.

主要成果:

三个不同的子组出现了:HC,T1D-A组和T1D-B组.
T1D患者通常表现出比HC更活跃的免疫特征,中性粒细胞,单细胞,B细胞增加,CD4+CD25+T细胞激活,调节性T细胞 (Treg) 减少.
与T1D-A组相比,T1D-A组表现出一种更有利于炎症的表型 (较低的FOXP3+ Treg,较高的CCR4+ T细胞,较低的Treg/Tconv比率,TNFα/IFNγ增加,IL-10减少),以及比T1D-B组更多的宏血管并发症.

结论:

机器学习在患有长期T1D的成年人中发现了两种不同的免疫学特征 (T1D-A组和T1D-B组).
T1D-A组的特征是具有促炎性免疫特征.
这种促炎性特征与糖尿病相关的宏血管并发症风险增加有关.

关键词:

不同质性的异质性一个层次的分类分类.免疫细胞特征免疫细胞特征机器学习是机器学习.多参数流动细胞计学第1类糖尿病糖类糖尿病

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