Evidence map›Paper›PMID 28879656›Full record

ArticleJournal of tissue engineering and regenerative medicine2018

Variability in responses observed in human white adipose tissue models.

Rosalyn D Abbott, Francis E Borowsky, Carlo A Alonzo, Adam Zieba, Irene Georgakoudi, David L Kaplan

Open access · greenAbstract read
In one paragraph

Article in Journal of tissue engineering and regenerative medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Autologous Human Immunocompetent White Adipose Tissue-on-Chip.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Adipose Tissue Fibrosis: Mechanisms, Models, and Importance.International journal of molecular sciences · 2020
    Review
  14. Article
  15. Article
  16. BMC biomedical engineering · 2019
    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 at 1 institution in 1 country.

Rosalyn D AbbottBiomedical Engineering, Tufts University, Medford, MA, USA.ORCID 0000-0003-3287-3175
Francis E BorowskyBiomedical Engineering, Tufts University, Medford, MA, USA.
Carlo A AlonzoBiomedical Engineering, Tufts University, Medford, MA, USA.
Adam ZiebaBiomedical Engineering, Tufts University, Medford, MA, USA.
Irene GeorgakoudiBiomedical Engineering, Tufts University, Medford, MA, USA.
David L KaplanBiomedical Engineering, Tufts University, Medford, MA, USA.
Tufts University · US

Funding

Translational Bioreactors - Engineering Complex TissuesP41EB002520 · NIBIB · TUFTS UNIVERSITY MEDFORD · PI KAPLAN, DAVID L. · 2004 to 2018
$16.7M
NIBIB NIH HHS P41 EB002520
6 · The paper itself

Abstract

Obesity is a risk factor for a myriad of diseases including diabetes, cardiovascular dysfunction, cirrhosis, and cancer, and there is a need for new systems to study how excess adipose tissue relates to the onset of disease processes. This study provides proof-of-concept patient-specific tissue models of human white adipose tissue to accommodate the variability in human samples. Our 3D tissue engineering approach established lipolytic responses and changes in insulin-stimulated glucose uptake from small volumes of human lipoaspirate, making this methodology useful for patient specific sample source assessments of treatment strategies, drug responses, disease mechanisms, and other responses that vary between patients. Mature unilocular cells were maintained ex vivo in silk porous scaffolds for up to a month of culture and imaged non-invasively with coherent anti-Stokes Raman scattering. Interestingly, differences in responsiveness between tissues were observed in terms of magnitude of lipolysis, ability to suppress lipolysis, differences in glucose uptake, and lipid droplet size. Body mass index was not a factor in determining tissue responsiveness; rather, it is speculated that other unknown variables in the backgrounds of different patients (ethnicity, athleticism, disease history, lifestyle choices, etc.) likely had a more significant effect on the observed differences. This study reinforces the need to account for the variability in backgrounds and genetics within the human population to determine adipose tissue responsiveness. In the future, this tissue system could be used to inform individualized care strategies-enhancing therapeutic precision, improving patient outcomes, and reducing clinical costs.

Indexed as

Models, BiologicalAdipose Tissue, WhiteAdultAminoimidazole CarboxamideAnimalsBombyxCells, CulturedCell ShapeCell TrackingEpinephrineFemaleGlucoseHumansLipolysisMiddle AgedOptical ImagingAICA ribonucleotideAminoimidazole CarboxamideEpinephrineGlucoseRibonucleotidesTumor Necrosis Factor-alphaadipose tissuecoherent anti-Raman scatteringpatient specific approachsecond harmonic generationtumour necrosis factor alphaunilocular

Identifiers

PMID28879656
PMCPMC5839961
OpenAlexW2752135877

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.