PubMed 30046111

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

BEL
tloc(a(CHEBI:"amyloid-beta"), fromLoc(MESH:Blood), toLoc(MESH:"Cerebrospinal Fluid")) regulates deg(a(CHEBI:"amyloid-beta"))
Hash
59e7be1652
Confidence
High
MeSHAnatomy
Brain
Networks
BEL
tloc(a(CHEBI:"amyloid-beta"), fromLoc(MESH:Blood), toLoc(MESH:"Cerebrospinal Fluid")) regulates deg(a(CHEBI:"amyloid-beta"))
Hash
59e7be1652
Confidence
High
MeSHAnatomy
Brain
Networks

PubMed 29626319

By collecting time-matched blood samples from cerebral vein, femoral vein, and radial artery in patients to measure the concentration of Aβ for every blood sample and figure out the turnover of it from vein to artery, it has been shown that transport of Aβ from brain to blood via the BBB and CSF absorption accounts for half of the total clearance of Aβ in CNS in humans, and furthermore, the clearance rate of Aβ via the BBB and CSF absorption accounts for the same proportion (Roberts et al. 2014)

BEL
tloc(a(CHEBI:"amyloid-beta"), fromLoc(MESH:Brain), toLoc(MESH:Blood)) decreases a(CHEBI:"amyloid-beta")
Hash
f55118d9b6
Networks
BEL
tloc(a(CHEBI:"amyloid-beta"), fromLoc(MESH:Brain), toLoc(MESH:Blood)) decreases a(CHEBI:"amyloid-beta")
Hash
f55118d9b6
Networks

About

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.