Evidence map›Paper›PMID 31106909›Full record

ArticleJournal of neuroscience research2019

Quantitative in vivo imaging of neuronal glucose concentrations with a genetically encoded fluorescence lifetime sensor.

Carlos Manlio Díaz-García, Carolina Lahmann, Juan Ramón Martínez-François, Binsen Li, Dorothy Koveal, Nidhi Nathwani, Mahia Rahman, Jacob P Keller, Jonathan S Marvin, Loren L Looger and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of neuroscience research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
3.9field-weighted citation impact, top 5% 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

60 citing papers in PubMed, 99 citations in OpenAlex.

  1. Learning Shapes the Energy Cost of Neural Tasks.bioRxiv : the preprint server for biology · 2026
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  4. Inorganic phosphate and the rapid mobilization of metabolic energy in neurons.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  9. Activity-dependent citrate dynamics in neurons.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  11. Article
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  14. RPE-specific MCT2 expression promotes cone survival in models of retinitis pigmentosa.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  15. Article
  16. State-dependent motion of a genetically encoded fluorescent biosensor.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  17. Article
  18. Genetically Encoded Metabolic Sensors to Study Retina Metabolism.Advances in experimental medicine and biology · 2025
    Review
  19. Article
  20. 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

11 authors at 2 institutions in 1 country.

Carlos Manlio Díaz-GarcíaDepartment of Neurobiology, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-4352-2496
Carolina LahmannDepartment of Neurobiology, Harvard Medical School, Boston, Massachusetts.
Juan Ramón Martínez-FrançoisDepartment of Neurobiology, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-1035-2574
Binsen LiDepartment of Neurobiology, Harvard Medical School, Boston, Massachusetts.
Dorothy KovealDepartment of Neurobiology, Harvard Medical School, Boston, Massachusetts.
Nidhi NathwaniDepartment of Neurobiology, Harvard Medical School, Boston, Massachusetts.
Mahia RahmanDepartment of Neurobiology, Harvard Medical School, Boston, Massachusetts.
Jacob P KellerJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia.
Jonathan S MarvinJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia.ORCID 0000-0003-2294-4515
Loren L LoogerJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia.
Gary YellenDepartment of Neurobiology, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0003-4228-7866
Harvard University · USHoward Hughes Medical Institute · US

Funding

Single cell analysis of metabolism using genetically-encoded fluorescent sensorsDP1EB016985 · NIBIB · HARVARD MEDICAL SCHOOL · PI YELLEN, GARY I · 2012 to 2016
$4.2M
High-throughput optimization of genetically-encoded fluorescent biosensorsR01GM124038 · NIGMS · HARVARD MEDICAL SCHOOL · PI YELLEN, GARY I · 2017 to 2025
$2.5M
Mechanisms of seizure resistance in a mouse genetic model with altered metabolismR01NS102586 · NINDS · HARVARD MEDICAL SCHOOL · PI YELLEN, GARY I · 2018 to 2022
$1.9M
Novel platforms for development of optimized genetically encoded fluorescent biosensorsF32GM123577 · NIGMS · HARVARD MEDICAL SCHOOL · PI KOVEAL, DOROTHY · 2017 to 2019
$190k
Defining the cellular metabolic responses to brain activity using fluorescent biosensorsF32NS100331 · NINDS · HARVARD MEDICAL SCHOOL · PI DIAZ GARCIA, CARLOS MANLIO · 2017 to 2019
$190k
Imaging cellular energy metabolism in vivo using fluorescent biosensorsF32NS093784 · NINDS · HARVARD MEDICAL SCHOOL · PI LAHMANN, CAROLINA · 2015 to 2017
$158k
NIBIB NIH HHS DP1 EB016985NIGMS NIH HHS F32 GM123577NIGMS NIH HHS R01 GM124038NINDS NIH HHS F32 NS093784NINDS NIH HHS F32 NS100331NINDS NIH HHS R01 NS102586
6 · The paper itself

Abstract

Glucose is an essential source of energy for the brain. Recently, the development of genetically encoded fluorescent biosensors has allowed real time visualization of glucose dynamics from individual neurons and astrocytes. A major difficulty for this approach, even for ratiometric sensors, is the lack of a practical method to convert such measurements into actual concentrations in ex vivo brain tissue or in vivo. Fluorescence lifetime imaging provides a strategy to overcome this. In a previous study, we reported the lifetime glucose sensor iGlucoSnFR-TS (then called SweetieTS) for monitoring changes in neuronal glucose levels in response to stimulation. This genetically encoded sensor was generated by combining the Thermus thermophilus glucose-binding protein with a circularly permuted variant of the monomeric fluorescent protein T-Sapphire. Here, we provide more details on iGlucoSnFR-TS design and characterization, as well as pH and temperature sensitivities. For accurate estimation of glucose concentrations, the sensor must be calibrated at the same temperature as the experiments. We find that when the extracellular glucose concentration is in the range 2-10 mM, the intracellular glucose concentration in hippocampal neurons from acute brain slices is ~20% of the nominal external glucose concentration (~0.4-2 mM). We also measured the cytosolic neuronal glucose concentration in vivo, finding a range of ~0.7-2.5 mM in cortical neurons from awake mice.

Indexed as

AnimalsBiosensing TechniquesFemaleGenetic VectorsGlucoseHEK293 CellsHippocampusHumansLuminescent ProteinsMaleMice, Inbred C57BLNeuronsSpectrometry, FluorescenceThermus thermophilusGlucoseLuminescent Proteinsenergy metabolismfluorescent biosensorglucose metabolism

Identifiers

PMID31106909
PMCPMC6565483
OpenAlexW2945774263

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.