Evidence map›Paper›PMID 26399988›Full record

ReviewAnnals of biomedical engineering2016

Non-invasive Assessments of Adipose Tissue Metabolism In Vitro.

Rosalyn D Abbott, Francis E Borowsky, Kyle P Quinn, David L Bernstein, Irene Georgakoudi, David L Kaplan

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Annals of biomedical engineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Variability in responses observed in human white adipose tissue models.Journal of tissue engineering and regenerative medicine · 2018
    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

6 authors.

Rosalyn D AbbottBiomedical Engineering, Tufts University, 4 Colby St., Medford, MA, 02155, USA.
Francis E BorowskyBiomedical Engineering, Tufts University, 4 Colby St., Medford, MA, 02155, USA.
Kyle P QuinnBiomedical Engineering, Tufts University, 4 Colby St., Medford, MA, 02155, USA.
David L BernsteinBiomedical Engineering, Tufts University, 4 Colby St., Medford, MA, 02155, USA.
Irene GeorgakoudiBiomedical Engineering, Tufts University, 4 Colby St., Medford, MA, 02155, USA.
David L KaplanBiomedical Engineering, Tufts University, 4 Colby St., Medford, MA, 02155, USA. david.kaplan@tufts.edu.

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 label-free quantitative imaging for chronic wound characterizationK99EB017723 · NIBIB · TUFTS UNIVERSITY MEDFORD · PI QUINN, KYLE PATRICK · 2014 to 2014
$78k
NIBIB NIH HHS K99 EB017723NIBIB NIH HHS K99EB017723NIBIB NIH HHS P41 EB002520NIBIB NIH HHS R01 EB007542NIBIB NIH HHS R01EB007542
6 · The paper itself

Abstract

Adipose tissue engineering is a diverse area of research where the developed tissues can be used to study normal adipose tissue functions, create disease models in vitro, and replace soft tissue defects in vivo. Increasing attention has been focused on the highly specialized metabolic pathways that regulate energy storage and release in adipose tissues which affect local and systemic outcomes. Non-invasive, dynamic measurement systems are useful to track these metabolic pathways in the same tissue model over time to evaluate long term cell growth, differentiation, and development within tissue engineering constructs. This approach reduces costs and time in comparison to more traditional destructive methods such as biochemical and immunochemistry assays and proteomics assessments. Towards this goal, this review will focus on important metabolic functions of adipose tissues and strategies to evaluate them with non-invasive in vitro methods. Current non-invasive methods, such as measuring key metabolic markers and endogenous contrast imaging will be explored.

Indexed as

Cell DifferentiationCell MovementEnergy MetabolismModels, BiologicalTissue EngineeringAdipose TissueBiomarkersHumansBiomarkersNon-destructive characterizationOptical imagingTissue engineering

Identifiers

PMID26399988
PMCPMC4792664

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.