Evidence map›Paper›PMID 33248661›Full record

ArticleAnalytica chimica acta2021

Spatially resolved measurement of dynamic glucose uptake in live ex vivo tissues.

Austin F Dunn, Megan A Catterton, Drake D Dixon, Rebecca R Pompano

Open access · greenAbstract read
In one paragraph

Article in Analytica chimica acta, 2021. 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
0.5field-weighted citation impact, top 37% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Gene Therapies for Retinitis Pigmentosa that Target Glucose Metabolism.Cold Spring Harbor perspectives in medicine · 2024
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  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

4 authors at 2 institutions in 1 country.

Austin F DunnDepartment of Chemistry, University of Virginia, PO BOX 400319, Charlottesville, VA, 22904, USA.
Megan A CattertonDepartment of Chemistry, University of Virginia, PO BOX 400319, Charlottesville, VA, 22904, USA.
Drake D DixonDepartment of Chemistry, University of Virginia, PO BOX 400319, Charlottesville, VA, 22904, USA.
Rebecca R PompanoDepartment of Chemistry, Carter Immunology Center, University of Virginia, PO BOX 400319, Charlottesville, VA, 22904, USA. Electronic address: rpompano@virginia.edu.
University of Virginia · USCarter Center · US

Funding

Modeling immunity with a hybrid lymph node tissue-chipR01AI131723 · NIAID · UNIVERSITY OF VIRGINIA · PI POMPANO, REBECCA R · 2018 to 2022
$2.3M
NIAID NIH HHS R01 AI131723
6 · The paper itself

Abstract

Highly proliferative cells depend heavily on glycolysis as a source of energy and biological precursor molecules, and glucose uptake is a useful readout of this aspect of metabolic activity. Glucose uptake is commonly quantified by using flow cytometry for cell cultures and positron emission tomography for organs in vivo. However, methods to detect spatiotemporally resolved glucose uptake in intact tissues are far more limited, particularly those that can quantify changes in uptake over time in specific tissue regions and cell types. Using lymph node metabolism as a case study, we developed an optimized method to detect dynamic and spatially resolved glucose uptake in living tissue by combining ex vivo tissue slice culture with a fluorescent glucose analogue. Live slices of murine lymph node were treated with the glucose analogue 2-[N-(7-nitrobenz-2-oxa-1,3-dia-xol-4-yl)amino]-2-deoxyglucose (2-NBDG). Incubation parameters were optimized to differentiate glucose uptake in activated versus naïve lymphocytes. Regional glucose uptake could be imaged at both the tissue level, by widefield microscopy, and at the cellular level, by confocal microscopy. Furthermore, the glucose assay was readily multiplexed with live immunofluorescence labelling to generate maps of 2-NBDG uptake across tissue regions, revealing highest uptake in T cell-dense regions. The signal was predominantly intracellular and localized to lymphocytes rather than stromal cells. Finally, we demonstrated that the assay was repeatable in the same slices, and imaged the dynamic distribution of glucose uptake in response to ex vivo T cell stimulation for the first time. We anticipate that this method will serve as a broadly applicable, user-friendly platform to quantify dynamic metabolic activities in complex tissue microenvironments.

Indexed as

GlucoseAnimalsBiological TransportMiceMicroscopy, ConfocalGlucoseBiomarkerFDGImmunometabolismLive imaging

Identifiers

PMID33248661
PMCPMC7701360
OpenAlexW3094035724

What OpenQuestion holds

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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.