Evidence map›Paper›PMID 23932290›Full record

ArticleBiomaterials2013

Non-invasive monitoring of cell metabolism and lipid production in 3D engineered human adipose tissues using label-free multiphoton microscopy.

Tyler Chang, Maxwell S Zimmerley, Kyle P Quinn, Isabelle Lamarre-Jouenne, David L Kaplan, Emmanuel Beaurepaire, Irene Georgakoudi

Abstract read
In one paragraph

Article in Biomaterials, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Label-Free Optical Metabolic Imaging in Cells and Tissues.Annual review of biomedical engineering · 2023
    Review
  3. Article
  4. Article
  5. Article
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  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Imaging strategies for tissue engineering applications.Tissue engineering. Part B, Reviews · 2015
    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

7 authors.

Tyler ChangDepartment of Biomedical Engineering, Tufts University, 4 Colby Street, Medford, MA 02155, United States.
Maxwell S Zimmerley
Kyle P Quinn
Isabelle Lamarre-Jouenne
David L Kaplan
Emmanuel Beaurepaire
Irene Georgakoudi

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-linear optical microscopy methods can characterize over time multiple functional properties of engineered tissues during development. Here, we demonstrate how the combined use of third-harmonic generation (THG) and two-photon excited fluorescence (2PEF) imaging can provide direct quantitative biomarkers of adipogenic stem cell differentiation and metabolic state, respectively. Specifically, we imaged over nine weeks silk scaffolds embedded with human mesenchymal stem cells and exposed to either propagation (PM) or adipogenic differentiation media (AM). THG was employed to visualize the formation of lipid droplets. 2PEF was used to assess the metabolic state of the cells through the redox ratio defined based on the endogenous FAD and NADH fluorescence. The redox ratio of cells in the AM scaffold was significantly lower than that in the PM scaffold during week 5 and 9, and correlated with significant increases in lipid-to-cell volume ratio, and number and size of lipid droplets in the AM scaffold. These findings indicate that the decrease in redox ratio during adipogenic differentiation is associated with fatty acid synthesis and lipid accumulation. Our methods therefore enabled us to identify and measure dynamic correlations between lipid droplet formation and cell metabolic state, while providing insight on the spatial heterogeneity of the observed signals.

Indexed as

Adipose TissueCell DifferentiationHumansImage Processing, Computer-AssistedLipid MetabolismMesenchymal Stem CellsMicroscopy, Fluorescence, MultiphotonOxidation-ReductionTissue EngineeringTissue ScaffoldsAdipogenic differentiationLipid dropletsRedox ratioStem cell metabolismThird-harmonic generationTwo-photon excited fluorescence

Identifiers

PMID23932290
PMCPMC3821986

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.