网络方法揭示了在 NOD 小鼠胰岛炎早期,T 细胞和巨噬细胞优先与 α 链接的 β 细胞结合。

Frontiers in network physiology Pub Date : 2024-06-24 eCollection Date: 2024-01-01 DOI:10.3389/fnetp.2024.1393397
Nirmala V Balasenthilkumaran, Jennifer C Whitesell, Laura Pyle, Rachel S Friedman, Vira Kravets
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引用次数: 0

摘要

研究胰岛炎症--胰岛炎的挑战之一是它是一种短暂现象。传统的胰岛炎进展报告是基于胰岛附近白细胞密度的累积值和供体平均值,这阻碍了疾病进展在胰岛内部和胰岛之间的异质性。在此,我们旨在了解为什么胰岛炎是不均匀的,往往在胰岛的一侧形成胰岛周围病变。为此,我们展示了网络理论在胰岛炎期间胰岛内部多细胞相互作用中的适用性。具体来说,我们提出了 "胰岛首先与免疫细胞相互作用的区域有何独特之处 "这一问题。本研究利用非肥胖一型糖尿病小鼠模型,研究了胰岛炎发展过程中胰岛中的α细胞、β细胞、T细胞、骨髓细胞和巨噬细胞之间的相互作用。根据单个胰岛中的T/β细胞比值追踪疾病的演变。我们发现,在早期阶段,免疫细胞优先与胰岛中富含α细胞的区域相互作用。在胰岛外围,与没有α细胞邻近的胰岛细胞相比,与α细胞有联系的β细胞成为攻击目标的情况明显增多。此外,网络分析显示,T-骨髓细胞和 T-巨噬细胞与所有 β 细胞的相互作用都有所增加。
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Network approach reveals preferential T-cell and macrophage association with α-linked β-cells in early stage of insulitis in NOD mice.

One of the challenges in studying islet inflammation-insulitis-is that it is a transient phenomenon. Traditional reporting of the insulitis progression is based on cumulative, donor-averaged values of leucocyte density in the vicinity of pancreatic islets, that hinder intra- and inter-islet heterogeneity of disease progression. Here, we aimed to understand why insulitis is non-uniform, often with peri-insulitis lesions formed on one side of an islet. To achieve this, we demonstrated the applicability of network theory in detangling intra-islet multi-cellular interactions during insulitis. Specifically, we asked the question "What is unique about regions of the islet that interact with immune cells first". This study utilized the non-obese diabetic mouse model of type one diabetes and examined the interplay among α-, β-, T-cells, myeloid cells, and macrophages in pancreatic islets during the progression of insulitis. Disease evolution was tracked based on the T/β cell ratio in individual islets. In the early stage, we found that immune cells are preferentially interacting with α-cell-rich regions of an islet. At the islet periphery α-linked β-cells were found to be targeted significantly more compared to those without α-cell neighbors. Additionally, network analysis revealed increased T-myeloid, and T-macrophage interactions with all β-cells.

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