Evidence map›Paper›PMID 29287743›Full record

ArticleJournal of neuroscience methods2018

A novel ex vivo method for measuring whole brain metabolism in model systems.

Kathryn E Neville, Timothy L Bosse, Mia Klekos, John F Mills, Steven E Weicksel, Jane S Waters, Marla Tipping

Open access · hybridAbstract read
In one paragraph

Article in Journal of neuroscience methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

25 citing papers in PubMed, 41 citations in OpenAlex.

  1. Evolution of neurometabolic frugality in harvester ants.Proceedings. Biological sciences · 2026
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  8. Flight to insight: maximizing the potential ofFrontiers in molecular neuroscience · 2024
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  14. Precision Medicine on the Fly: Using Drosophila to Decipher Gene-Environment Interactions in Parkinson's Disease.Toxicological sciences : an official journal of the Society of Toxicology · 2021
    Article
  15. Article
  16. Article
  17. Brain Size, Metabolism, and Social Evolution.Frontiers in physiology · 2021
    Article
  18. Article
  19. Review
  20. Article
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

7 authors at 1 institution in 1 country.

Kathryn E NevilleDepartment of Biology, Providence College, 1 Cunningham Square, Providence, RI 02918, United States. Electronic address: kneville@friars.providence.edu.
Timothy L BosseDepartment of Biology, Providence College, 1 Cunningham Square, Providence, RI 02918, United States. Electronic address: tbosse@friars.providence.edu.
Mia KlekosDepartment of Biology, Providence College, 1 Cunningham Square, Providence, RI 02918, United States. Electronic address: mklekos@friars.providence.edu.
John F MillsDepartment of Biology, Providence College, 1 Cunningham Square, Providence, RI 02918, United States. Electronic address: jmills4@friars.providence.edu.
Steven E WeickselDepartment of Biology, Providence College, 1 Cunningham Square, Providence, RI 02918, United States. Electronic address: sweickse@providence.edu.
Jane S WatersDepartment of Biology, Providence College, 1 Cunningham Square, Providence, RI 02918, United States. Electronic address: jwaters2@providence.edu.
Marla TippingDepartment of Biology, Providence College, 1 Cunningham Square, Providence, RI 02918, United States. Electronic address: mtipping@providence.edu.
Providence College · US

Funding

Training CoreP20GM103430 · NIGMS · UNIVERSITY OF RHODE ISLAND · PI Bongsup P Cho · 2012 to 2026
$63.6M
NIGMS NIH HHS P20 GM103430
6 · The paper itself

Abstract

backgroundMany neuronal and glial diseases have been associated with changes in metabolism. Therefore, metabolic reprogramming has become an important area of research to better understand disease at the cellular level, as well as to identify targets for treatment. Model systems are ideal for interrogating metabolic questions in a tissue dependent context. However, while new tools have been developed to study metabolism in cultured cells there has been less progress towards studies in vivo and ex vivo. NEW

methodWe have developed a method using newly designed tissue restraints to adapt the Agilent XFe96 metabolic analyzer for whole brain analysis. These restraints create a chamber for Drosophila brains and other small model system tissues to reside undisrupted, while still remaining in the zone for measurements by sensor probes.

resultsThis method generates reproducible oxygen consumption and extracellular acidification rate data for Drosophila larval and adult brains. Single brains are effectively treated with inhibitors and expected metabolic readings are observed. Measuring metabolic changes, such as glycolytic rate, in transgenic larval brains demonstrates the potential for studying how genotype affects metabolism. COMPARISON WITH EXISTING METHODS AND

conclusionsCurrent methodology either utilizes whole animal chambers to measure respiration, not allowing for targeted tissue analysis, or uses technically challenging MRI technology for in vivo analysis that is not suitable for smaller model systems. This new method allows for novel metabolic investigation of intact brains and other tissues ex vivo in a quick, and simplistic way with the potential for large-scale studies.

Indexed as

Models, AnimalAnimalsAnimals, Genetically ModifiedBrainCaenorhabditis elegansDrosophila melanogasterEnzyme InhibitorsEquipment DesignExtracellular SpaceFemaleHydrogen-Ion ConcentrationMaleMitochondrial Proton-Translocating ATPasesOligomycinsOxygen ConsumptionTissue Culture TechniquesEnzyme InhibitorsMitochondrial Proton-Translocating ATPasesOligomycinsDrosophila melanogasterExtracellular acidificationex vivoMetabolic reprogrammingMetabolismOxygen consumptionXFe96 analyzer

Identifiers

PMID29287743
PMCPMC5840572
OpenAlexW2778312964

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.