Evidence map›Paper›PMID 28169362›Full record

ArticleScientific reports2017

Allometric scaling in-vitro.

Arti Ahluwalia

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Passage-Dependent Size Distributions of Human-Derived Cells: Implications for Metabolic Assays.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  2. Patient-Specific Size and Age Scaling in a Zero Dimensional Cardiovascular Model.ASAIO journal (American Society for Artificial Internal Organs : 1992) · 2026
    Article
  3. Article
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  6. Article
  7. Article
  8. Review
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  10. Article
  11. Scaling of joint mass and metabolism fluctuations in in silico cell-laden spheroids.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  12. Review
  13. Review
  14. Article
  15. Generalized size scaling of metabolic rates based on single-cell measurements with freshwater phytoplankton.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  16. Article
  17. Article
  18. Recent Advances in Body-on-a-Chip Systems.Analytical chemistry · 2019
    Review
  19. Review
  20. Oxygen Consumption Characteristics in 3D Constructs Depend on Cell Density.Frontiers in bioengineering and biotechnology · 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

1 author.

Arti AhluwaliaDepartment of Information Engineering and Research Center E.Piaggio, University of Pisa, Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

About two decades ago, West and coworkers established a model which predicts that metabolic rate follows a three quarter power relationship with the mass of an organism, based on the premise that tissues are supplied nutrients through a fractal distribution network. Quarter power scaling is widely considered a universal law of biology and it is generally accepted that were in-vitro cultures to obey allometric metabolic scaling, they would have more predictive potential and could, for instance, provide a viable substitute for animals in research. This paper outlines a theoretical and computational framework for establishing quarter power scaling in three-dimensional spherical constructs in-vitro, starting where fractal distribution ends. Allometric scaling in non-vascular spherical tissue constructs was assessed using models of Michaelis Menten oxygen consumption and diffusion. The models demonstrate that physiological scaling is maintained when about 5 to 60% of the construct is exposed to oxygen concentrations less than the Michaelis Menten constant, with a significant concentration gradient in the sphere. The results have important implications for the design of downscaled in-vitro systems with physiological relevance.

Indexed as

AnimalsCell CountCells, CulturedEnergy MetabolismEukaryotic CellsFractalsKineticsModels, BiologicalOxygen ConsumptionSpheroids, Cellular

Identifiers

PMID28169362
PMCPMC5294453

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Registered trials

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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.