Evidence map›Paper›PMID 24089624›Full record

ArticleThe open drug discovery journal2010

Adenosine kinase is a new therapeutic target to prevent ischemic neuronal death.

Detlev Boison, Hai-Ying Shen

Open access · greenAbstract read
In one paragraph

Article in The open drug discovery journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.2field-weighted citation impact, top 36% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Detlev BoisonRobert Stone Dow Neurobiology Laboratories, Legacy Research, Portland, OR 97232, USA.
Hai-Ying Shen
Legacy Health · US

Funding

Adenosine kinase as therapeutic target to induce and maintain ischemic toleranceR21NS057538 · NINDS · LEGACY EMANUEL HOSPITAL AND HEALTH CENTER · PI BOISON, DETLEV · 2008 to 2009
$379k
NINDS NIH HHS R21 NS057538
6 · The paper itself

Abstract

The brain has evolved several endogenous mechanisms to protect itself from the deleterious consequences of stroke. One of those endogenous neuroprotective systems is centered on the purine ribonucleoside adenosine, which exerts potent neuroprotective functions within the brain. One major goal in therapeutic stroke research is to explore and utilize such endogenous neuroprotective mechanisms therapeutically. This review illustrates molecular approaches to study the role of the adenosine system within the context of stroke and highlights innovative therapeutic approaches aimed at increasing adenosinergic function. New research data suggest that the major adenosine regulating enzyme adenosine kinase (ADK) plays a prominent role in determining the brain's susceptibility to ischemic injury. Thus, endogenous ADK is rapidly downregulated following a stroke, possibly an endogenous neuroprotective mechanism aimed at raising ambient levels of adenosine in brain. Conversely, transgenic overexpression of ADK in brain renders the brain more susceptible to stroke-induced neuronal cell loss. In the present review we will first summarize the physiological role of adenosine metabolism within the context of ischemic brain injury. Next, we will highlight the key role of ADK in determining the brain's susceptibility to ischemic injury, and finally we will discuss potential therapeutic applications of adenosine augmentation to provide neuroprotection in stroke.

Indexed as

adenosineadenosine kinasegene knockoutischemianeuroprotectionreperfusionstroketransgenic mice

Identifiers

PMID24089624
PMCPMC3786597
OpenAlexW2150354412

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.