Evidence map›Paper›PMID 32636528›Full record

ReviewNature reviews. Neuroscience2020

Neuronal regulation of the blood-brain barrier and neurovascular coupling.

Luke Kaplan, Brian W Chow, Chenghua Gu

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 272 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
272citing papers in PubMed, 2 pooled it
17.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

272 citing papers in PubMed, 2 syntheses or guidelines pooled it, 410 citations in OpenAlex.

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212 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Luke Kaplan *Department of Neurobiology, Harvard Medical School, Boston, MA, USA.
Brian W Chow *Department of Neurobiology, Harvard Medical School, Boston, MA, USA.
Chenghua GuDepartment of Neurobiology, Harvard Medical School, Boston, MA, USA. chenghua_gu@hms.harvard.edu.ORCID http://orcid.org/0000-0002-4212-7232
Harvard University · US

Funding

New tools for understanding the blood brain barrierDP1NS092473 · NINDS · HARVARD MEDICAL SCHOOL · PI GU, CHENGHUA · 2014 to 2018
$4.2M
Validated tools for identifying, characterizing, and targeting all non-neuronal cells in the brain and determining the neuro-glio-vascular connectomeRF1DA048786 · NIDA · HARVARD MEDICAL SCHOOL · PI GU, CHENGHUA · 2019 to 2019
$2.5M
Howard Hughes Medical InstituteNIDA NIH HHS RF1 DA048786NINDS NIH HHS DP1 NS092473
6 · The paper itself

Abstract

To continuously process neural activity underlying sensation, movement and cognition, the CNS requires a homeostatic microenvironment that is not only enriched in nutrients to meet its high metabolic demands but that is also devoid of toxins that might harm the sensitive neural tissues. This highly regulated microenvironment is made possible by two unique features of CNS vasculature absent in the peripheral organs. First, the blood-blood barrier, which partitions the circulating blood from the CNS, acts as a gatekeeper to facilitate the selective trafficking of substances between the blood and the parenchyma. Second, neurovascular coupling ensures that, following local neural activation, regional blood flow is increased to quickly supply more nutrients and remove metabolic waste. Here, we review how neural and vascular activity act on one another with regard to these two properties.

Indexed as

AnimalsBlood-Brain BarrierBrainHumansModels, NeurologicalNeuronsNeurovascular Coupling

Identifiers

PMID32636528
PMCPMC8934575
OpenAlexW3038979473

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.