The node-based overlap between this network and other networks is calculated as the Szymkiewicz-Simpson coefficient of their respective nodes. Up to the top 10 are shown below.
By contrast, the parenchyma of the CNS is devoid of lymphatic vasculature2; in the brain, removal of cellular debris and toxic molecules, such as amyloid-β peptides, is mediated by a combination of transcellular transport mechanisms across the blood−brain and blood−cerebrospinal fluid (CSF) barriers7–9, phagocytosis and digestion by resident microglia and recruited monocytes and/or macrophages10,11, as well as CSF influx and ISF efflux through a paravascular (glymphatic) route12–14 PubMed:30046111
Analysis of lymphoid and myeloid cell populations in the meninges (Extended Data Fig. 9d) demonstrated a significant increase in the number of macrophages upon lymphatic ablation compared to both control groups (Extended Data Fig. 9e), which might be correlated with increased amyloid-β deposition and inflammation in the meninges PubMed:30046111
Staining for amyloid-β in the brains of nine patients with Alzheimer’s disease and eight controls without Alzheimer’s disease (Extended Data Table 1) revealed, as expected, marked parenchymal deposition of amyloid-β in the brains of patients with Alzheimer’s disease, but not in the brains of the controls without Alzheimer’s disease (Extended Data Fig. 9l, m) PubMed:30046111
Notably, when compared to tissue from controls, all samples from patients with Alzheimer’s disease demonstrated striking vascular amyloid-β pathology in the cortical leptomeninges (Extended Data Fig. 9l, m) and amyloid-β deposition in the dura mater adjacent to the superior sagittal sinus (Fig. 3i, j) or further away from the sinus (Fig. 3k, l) PubMed:30046111
These findings showed that prominent meningeal amyloid-β deposition observed in patients with Alzheimer’s disease is also observed in mouse models of Alzheimer’s disease after meningeal lymphatic vessel ablation PubMed:30046111
BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of PyBEL, an open source project. Please feel free to contact us here to give us feedback or report any issues. Also, see our Publishing Notes and Data Protection information.
If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.