Evidence map›Paper›PMID 29934508›Full record

ArticleScientific reports2018

Real-time ex-vivo measurement of brain metabolism using hyperpolarized [1-

Talia Harris, Assad Azar, Gal Sapir, Ayelet Gamliel, Atara Nardi-Schreiber, Jacob Sosna, J Moshe Gomori, Rachel Katz-Brull

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Imaging Brain Metabolism Using HyperpolarizedTrends in neurosciences · 2020
    Review
  7. Article
  8. Review
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

8 authors.

Talia HarrisDepartment of Radiology, Hadassah-Hebrew University Medical Center, Jerusalem, 9112001, Israel.
Assad AzarDepartment of Radiology, Hadassah-Hebrew University Medical Center, Jerusalem, 9112001, Israel.
Gal SapirDepartment of Radiology, Hadassah-Hebrew University Medical Center, Jerusalem, 9112001, Israel.ORCID 0000-0001-6267-5933
Ayelet GamlielDepartment of Radiology, Hadassah-Hebrew University Medical Center, Jerusalem, 9112001, Israel.
Atara Nardi-SchreiberDepartment of Radiology, Hadassah-Hebrew University Medical Center, Jerusalem, 9112001, Israel.
Jacob SosnaDepartment of Radiology, Hadassah-Hebrew University Medical Center, Jerusalem, 9112001, Israel.
J Moshe GomoriDepartment of Radiology, Hadassah-Hebrew University Medical Center, Jerusalem, 9112001, Israel.
Rachel Katz-BrullDepartment of Radiology, Hadassah-Hebrew University Medical Center, Jerusalem, 9112001, Israel. rkb@hadassah.org.il.

Funding

European Research Council 338040
6 · The paper itself

Abstract

The ability to directly monitor in vivo brain metabolism in real time in a matter of seconds using the dissolution dynamic nuclear polarization technology holds promise to aid the understanding of brain physiology in health and disease. However, translating the hyperpolarized signal observed in the brain to cerebral metabolic rates is not straightforward, as the observed in vivo signals reflect also the influx of metabolites produced in the body, the cerebral blood volume, and the rate of transport across the blood brain barrier. We introduce a method to study rapid metabolism of hyperpolarized substrates in the viable rat brain slices preparation, an established ex vivo model of the brain. By retrospective evaluation of tissue motion and settling from analysis of the signal of the hyperpolarized [1-

Indexed as

AnimalsBicarbonatesBrainCarbon IsotopesFemaleLactic AcidMagnetic Resonance SpectroscopyMovementPyruvic AcidRatsRats, Sprague-DawleyTime FactorsBicarbonatesCarbon-13Carbon IsotopesLactic AcidPyruvic Acid

Identifiers

PMID29934508
PMCPMC6014998

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Registered trials

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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.