小鼠大脑中含有与年龄相关的实质外颗粒结构和星形胶质细胞,两者对天然 IgM 抗体都有反应,并与裂隙相连。

IF 5.2 2区 医学 Q1 GERIATRICS & GERONTOLOGY Immunity & Ageing Pub Date : 2024-08-21 DOI:10.1186/s12979-024-00460-1
Clara Romera, Marta Riba, Raquel Alsina, Marina Sartorio, Jordi Vilaplana, Carme Pelegrí, Jaume Del Valle
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引用次数: 0

摘要

背景:小鼠大脑中含有特异性多聚葡聚糖聚集体,被称为 "周期性酸-希夫(PAS)颗粒"。这些颗粒产生于星形胶质细胞,随着年龄的增长而增加,并显示出天然 IgM 抗体(IgM)可识别的碳水化合物性质的新表位。PAS 颗粒上新表位的存在表明在其他大脑结构中也存在新表位,本文对此进行了研究。为此,我们对不同年龄段的 SAMP8 和 ICR-CD1 小鼠的脑切片进行了研究:我们发现了两种新的结构,除了 PAS 颗粒外,它们还能被天然 IgMs 识别。 一方面,IgM 反应性(IgM+)颗粒结构位于纵裂、四脑室和一个从四脑室延伸到小脑间室的区域。最后一个区域位于端脑与间脑和间脑之间,由于它确实是一个裂隙,而且是大脑中最大的裂隙,因此被命名为 "巨脑裂隙"(fissura magna)。由于所有这些区域都属于母细胞外(EP),因此在这些区域发现的 IgM+ 颗粒被命名为 EP 颗粒。这些 EP 颗粒主要与成纤维细胞有关,不会被 PAS 染色。另一方面,在上述裂隙附近的限局性胶质中也发现了一些 IgM+星形胶质细胞。值得注意的是,EP颗粒在较年轻时更为普遍,而IgM+星形胶质细胞的数量则随着年龄的增长而增加,这与已经描述过的PAS颗粒的演变过程相似:本研究报告了两种与大脑相关的结构,除了 PAS 颗粒外,它们还含有碳水化合物性质的新表位,即 EP 颗粒和 IgM+星形胶质细胞。我们认为,与成纤维细胞相关的 EP 颗粒可能是大脑清除或大脑-CSF 免疫监视生理功能的一部分,而 PAS 颗粒和 IgM+ 星形胶质细胞可能与随着年龄增长而出现的有害物质的不断积累有关,并与大脑保护机制相关。此外,这些 EP 颗粒和 IgM+ 星形胶质细胞的特异性定位表明,在这些与大脑有关的清洁和免疫功能中,尾状裂变非常重要。总体结果加强了鱼尾纹与甘液系统功能之间可能存在的联系。
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Mouse brain contains age-dependent extraparenchymal granular structures and astrocytes, both reactive to natural IgM antibodies, linked to the fissura magna.

Background: Mouse brains can contain specific polyglucosan aggregates known as Periodic Acid-Schiff (PAS)-granules. Generated in astrocytes, these granules increase with age and exhibit neo-epitopes of carbohydrate nature that are recognized by natural IgM antibodies (IgMs). The existence of neoepitopes on PAS granules suggests the presence of neoepitopes in other brain structures, and this is investigated here. To this end, brain sections from SAMP8 and ICR-CD1 mice were examined at different ages.

Results: We have identified two novel structures that, apart from PAS granules, are recognized by natural IgMs. On one side, IgM reactive (IgM+) granular structures which are placed in the longitudinal fissure, the quadrigeminal cistern, and a region that extends from the quadrigeminal cistern to the interpeduncular cistern. This last region, located between the telencephalon and both the mesencephalon and diencephalon, is designated henceforth as the fissura magna, as it is indeed a fissure and the largest in the brain. As all these regions are extraparenchymal (EP), the IgM+ granules found in these zones have been named EP granules. These EP granules are mainly associated with fibroblasts and are not stained with PAS. On the other side, some IgM+ astrocytes have been found in the glia limitans, near the above-mentioned fissures. Remarkably, EP granules are more prevalent at younger ages, while the number of IgM+ astrocytes increases with age, similarly to the already described evolution of PAS granules.

Conclusions: The present work reports the presence of two brain-related structures that, apart from PAS granules, contain neo-epitopes of carbohydrate nature, namely EP granules and IgM+ astrocytes. We suggest that EP granules, associated to fibroblasts, may be part of a physiological function in brain clearance or brain-CSF immune surveillance, while both PAS granules and IgM+ astrocytes may be related to the increasing accumulation of harmful materials that occurs with age and linked to brain protective mechanisms. Moreover, the specific localisation of these EP granules and IgM+ astrocytes suggest the importance of the fissura magna in these brain-related cleaning and immune functions. The overall results reinforce the possible link between the fissura magna and the functioning of the glymphatic system.

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来源期刊
Immunity & Ageing
Immunity & Ageing GERIATRICS & GERONTOLOGY-IMMUNOLOGY
CiteScore
10.20
自引率
3.80%
发文量
55
期刊介绍: Immunity & Ageing is a specialist open access journal that was first published in 2004. The journal focuses on the impact of ageing on immune systems, the influence of aged immune systems on organismal well-being and longevity, age-associated diseases with immune etiology, and potential immune interventions to increase health span. All articles published in Immunity & Ageing are indexed in the following databases: Biological Abstracts, BIOSIS, CAS, Citebase, DOAJ, Embase, Google Scholar, Journal Citation Reports/Science Edition, OAIster, PubMed, PubMed Central, Science Citation Index Expanded, SCImago, Scopus, SOCOLAR, and Zetoc.
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