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淋巴细胞性甲状腺炎转录组谱支持检查点途径和 B 细胞在发病机制中的作用。

Lymphocytic Thyroiditis Transcriptomic Profiles Support the Role of Checkpoint Pathways and B Cells in Pathogenesis.

机构信息

Translational Immunology Research Group, Vall d'Hebron Institute of Research (VHIR), Campus Vall d'Hebron, Barcelona, Spain.

Immunology Division, Hospital Universitari Vall d'Hebron (HUVH), Barcelona, Spain.

出版信息

Thyroid. 2022 Jun;32(6):682-693. doi: 10.1089/thy.2021.0694. Epub 2022 May 25.

Abstract

Autoimmune thyroid diseases are the most common types of autoimmune diseases, but their physiopathology is still relatively unexplored. Genotype-tissue expression (GTEx) is a publicly available repository containing RNAseq data, including profiles from thyroid. Approximately 14.8% of these glands were affected by focal lymphocytic thyroiditis and 6.3% were annotated as Hashimoto. We interrogated these data to improve the characterization of infiltrating cells and to identify new molecular pathways active in autoimmune thyroiditis. Histological GTEx images of 336 thyroid samples were classified into three categories, that is, non-infiltrated thyroid, small focal infiltrated thyroid, and extensive lymphoid infiltrated thyroid. Differentially expressed genes among these categories were identified and subjected to pathway enrichment analysis accordingly. CIBERSORTx deconvolution was used to characterize infiltrating cells. As expected, most of the transcriptional changes were dependent on tissue infiltration. Upregulated genes in tissues include-in addition to lineage-specific B and T cell genes-a broad representation of inhibitory immune checkpoint receptors expressed by B and T lymphocytes. CIBERSORTx analysis identified 22 types of infiltrating cells showed that T cells predominate 3:1 over B cells in glands with small infiltrates, only by 1.7:1 in those with large infiltrates. Follicular helper and memory CD4 T cells were significantly more abundant in glands with large infiltrates ( < 0.0001), but the most prominent finding in these glands was an almost sixfold increase in the number of naive B cells ( < 0.0001). A predominance of M2 macrophages over M1 and M0 macrophages was observed in the three gland categories ( < 0.001). Analysis of transcriptomic RNA-seq profiles constitutes a rich source of information for the analysis of autoimmune tissues. High-resolution transcriptomic data analysis of thyroid glands indicates the following: (a) in all infiltrated glands, active autoimmune response coexists with suppressor counteracting mechanisms involving several inhibitory checkpoint receptor pairs, (b) glands with small infiltrates contain an unexpected relatively high proportion of B lymphocytes, and (c) in highly infiltrated glands, there is a distinct transcriptomic signature of active tertiary lymphoid organs. These results support the concept that the autoimmune response is amplified in the thyroid tissue.

摘要

自身免疫性甲状腺疾病是最常见的自身免疫性疾病类型,但它们的病理生理学仍相对未知。基因型组织表达(GTEx)是一个包含 RNAseq 数据的公共存储库,其中包括甲状腺的概况。大约 14.8%的这些腺体受到局灶性淋巴细胞性甲状腺炎的影响,6.3%被注释为桥本甲状腺炎。我们对这些数据进行了分析,以改善对浸润细胞的特征描述,并确定在自身免疫性甲状腺炎中活跃的新分子途径。对 336 个甲状腺样本的 GTEx 组织学图像进行了分类,分为三类,即未浸润的甲状腺、小灶性浸润的甲状腺和广泛的淋巴样浸润的甲状腺。识别这些类别的差异表达基因,并相应地进行途径富集分析。使用 CIBERSORTx 去卷积来描述浸润细胞。不出所料,大多数转录变化都依赖于组织浸润。组织中上调的基因除了谱系特异性 B 和 T 细胞基因外,还广泛表达 B 和 T 淋巴细胞表达的抑制性免疫检查点受体。CIBERSORTx 分析鉴定出 22 种浸润细胞,结果表明,在小浸润的腺体中,T 细胞比 B 细胞多 3:1,而在大浸润的腺体中仅为 1.7:1。滤泡辅助和记忆性 CD4 T 细胞在大浸润的腺体中明显更为丰富(<0.0001),但这些腺体中最显著的发现是幼稚 B 细胞数量增加了近六倍(<0.0001)。在这三种腺体类型中,M2 巨噬细胞明显多于 M1 和 M0 巨噬细胞(<0.001)。对甲状腺组织的转录组 RNA-seq 谱分析构成了分析自身免疫组织的丰富信息来源。对甲状腺腺体的高分辨率转录组数据分析表明:(a)在所有浸润的腺体中,活跃的自身免疫反应与涉及几个抑制性检查点受体对的抑制性拮抗机制并存;(b)小浸润的腺体含有意外的相对较高比例的 B 淋巴细胞;(c)在高浸润的腺体中,存在活跃的三级淋巴样器官的独特转录组特征。这些结果支持这样的概念,即自身免疫反应在甲状腺组织中被放大。

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