Evidence map›Paper›PMID 28191763›Full record

ArticleStem cells translational medicine2017

Electrical Cell-Substrate Impedance Spectroscopy Can Monitor Age-Grouped Human Adipose Stem Cell Variability During Osteogenic Differentiation.

Rachel C Nordberg, Jianlei Zhang, Emily H Griffith, Matthew W Frank, Binil Starly, Elizabeth G Loboa

Open access · goldAbstract readComparative Study
In one paragraph

Article in Stem cells translational medicine, 2017. 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
3.1field-weighted citation impact, top 9% 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, 41 citations in OpenAlex.

  1. Article
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  10. Review
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  12. Impedance-based cellular assays for regenerative medicine.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    Review
  13. The Effects of a Pulsed Electromagnetic Field on the Proliferation and Osteogenic Differentiation of Human Adipose-Derived Stem Cells.Medical science monitor : international medical journal of experimental and clinical research · 2018
    Article
  14. Article
  15. Article
  16. 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 2 institutions in 1 country.

Rachel C NordbergJoint Department of Biomedical Engineering, University of North Carolina Chapel Hill and North Carolina State University, Raleigh, North Carolina, USA.
Jianlei ZhangEdward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, North Carolina, USA.
Emily H GriffithDepartment of Statistics, North Carolina State University, Raleigh, North Carolina, USA.
Matthew W FrankJoint Department of Biomedical Engineering, University of North Carolina Chapel Hill and North Carolina State University, Raleigh, North Carolina, USA.
Binil StarlyEdward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, North Carolina, USA.
Elizabeth G LoboaJoint Department of Biomedical Engineering, University of North Carolina Chapel Hill and North Carolina State University, Raleigh, North Carolina, USA.
North Carolina State University · USMissouri College · US

Funding

Tensile Strain-Induced Osteogenesis of Human Mesenchymal Stem Cells in 3D CultureR03EB008790 · NIBIB · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI LOBOA, ELIZABETH GRACE · 2010 to 2011
$142k
NIBIB NIH HHS R03 EB008790
6 · The paper itself

Abstract

Human adipose stem cells (hASCs) are an attractive cell source for bone tissue engineering applications. However, a critical issue to be addressed before widespread hASC clinical translation is the dramatic variability in proliferative capacity and osteogenic potential among hASCs isolated from different donors. The goal of this study was to test our hypothesis that electrical cell-substrate impedance spectroscopy (ECIS) could track complex bioimpedance patterns of hASCs throughout proliferation and osteogenic differentiation to better understand and predict variability among hASC populations. Superlots composed of hASCs from young (aged 24-36 years), middle-aged (aged 48-55 years), and elderly (aged 60-81 years) donors were seeded on gold electrode arrays. Complex impedance measurements were taken throughout proliferation and osteogenic differentiation. During osteogenic differentiation, four impedance phases were identified: increase, primary stabilization, drop phase, and secondary stabilization. Matrix deposition was first observed 48-96 hours after the impedance maximum, indicating, for the first time, that ECIS can identify morphological changes that correspond to late-stage osteogenic differentiation. The impedance maximum was observed at day 10.0 in young, day 6.1 in middle-aged, and day 1.3 in elderly hASCs, suggesting that hASCs from younger donors require a longer time to differentiate than do hASCs from older donors, but young hASCs proliferated more and accreted more calcium long-term. This is the first study to use ECIS to predict osteogenic potential of multiple hASC populations and to show that donor age may temporally control onset of osteogenesis. These findings could be critical for development of patient-specific bone tissue engineering and regenerative medicine therapies. Stem Cells Translational Medicine 2017;6:502-511.

Indexed as

Cell DifferentiationCell ProliferationOsteogenesisAdipose TissueAdultAgedAged, 80 and overAge FactorsBone and BonesCells, CulturedDielectric SpectroscopyElectric ImpedanceHumansMiddle AgedPhenotypeStem CellsAdipose stem cellsBioimpedanceElectrical cell-substrate impedance spectroscopyOsteogenesis

Identifiers

PMID28191763
PMCPMC5442814
OpenAlexW2511562028

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.