Evidence map›Paper›PMID 22560200›Full record

ArticleBiomaterials2012

Characterization of metabolic changes associated with the functional development of 3D engineered tissues by non-invasive, dynamic measurement of individual cell redox ratios.

Kyle P Quinn, Evangelia Bellas, Nikolaos Fourligas, Kyongbum Lee, David L Kaplan, Irene Georgakoudi

Open access · greenAbstract read
In one paragraph

Article in Biomaterials, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

49 citing papers in PubMed, 91 citations in OpenAlex.

  1. Article
  2. Review
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  8. Article
  9. Label-Free Optical Metabolic Imaging in Cells and Tissues.Annual review of biomedical engineering · 2023
    Review
  10. Conditionally immortalised equine skeletal muscle cell lines forBiochemistry and biophysics reports · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
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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

6 authors at 1 institution in 1 country.

Kyle P QuinnDepartment of Biomedical Engineering, Tufts University, 4 Colby Street, Medford, MA 02155, USA.
Evangelia Bellas
Nikolaos Fourligas
Kyongbum Lee
David L Kaplan
Irene Georgakoudi
Tufts University · US

Funding

Translational Bioreactors - Engineering Complex TissuesP41EB002520 · NIBIB · TUFTS UNIVERSITY MEDFORD · PI KAPLAN, DAVID L. · 2004 to 2018
$16.7M
Optical monitoring of engineered tissuesR01EB007542 · NIBIB · TUFTS UNIVERSITY MEDFORD · PI GEORGAKOUDI, IRENE · 2009 to 2012
$1.3M
Non-invasive optical biomarkers to quantify engineered bone tissue developmentF32AR061933 · NIAMS · TUFTS UNIVERSITY MEDFORD · PI QUINN, KYLE PATRICK · 2011 to 2012
$96k
NIAMS NIH HHS F32 AR061933NIAMS NIH HHS F32AR061933NIBIB NIH HHS P41 EB002520NIBIB NIH HHS P41EB002520NIBIB NIH HHS R01 EB007542NIBIB NIH HHS R01EB007542
6 · The paper itself

Abstract

Non-invasive approaches to assess tissue function could improve significantly current methods to diagnose diseases and optimize engineered tissues. In this study, we describe a two-photon excited fluorescence microscopy approach that relies entirely on endogenous fluorophores to dynamically quantify functional metabolic readouts from individual cells within three-dimensional engineered tissues undergoing adipogenic differentiation over six months. Specifically, we employ an automated approach to analyze 3D image volumes and extract a redox ratio of metabolic cofactors. We identify a decrease in redox ratio over the first two months of culture that is associated with stem cell differentiation and lipogenesis. In addition, we demonstrate that the presence of endothelial cells facilitate greater cell numbers deeper within the engineered tissues. Since traditional assessments of engineered tissue structure and function are destructive and logistically intensive, this non-destructive, label-free approach offers a potentially powerful high-content characterization tool for optimizing tissue engineering protocols and assessing engineered tissue implants.

Indexed as

Adipose TissueAzo CompoundsCell DifferentiationCell ProliferationCells, CulturedCoculture TechniquesEndothelial CellsFlavin-Adenine DinucleotideHumansImage Processing, Computer-AssistedLipid MetabolismMesenchymal Stem CellsMicroscopy, Fluorescence, MultiphotonMicrovesselsModels, BiologicalNADAzo CompoundsFlavin-Adenine DinucleotideNADoil red O

Identifiers

PMID22560200
PMCPMC3387752
OpenAlexW2031451868

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.