Evidence map›Paper›PMID 33073437›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2020

Magneto-Driven Gradients of Diamagnetic Objects for Engineering Complex Tissues.

Hannah M Zlotnick, Andy T Clark, Sarah E Gullbrand, James L Carey, Xuemei M Cheng, Robert L Mauck

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2020. 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. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Modeling development using hydrogels.Development (Cambridge, England) · 2023
    Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Field-Induced Assembly and Propulsion of Colloids.Langmuir : the ACS journal of surfaces and colloids · 2022
    Article
  16. Hydrogels for Treatment of Different Degrees of Osteoarthritis.Frontiers in bioengineering and biotechnology · 2022
    Review
  17. 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.

Hannah M ZlotnickDepartment of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Andy T ClarkDepartment of Physics and Center for Engineering MechanoBiology, Bryn Mawr College, Bryn Mawr, PA, 19010, USA.
Sarah E GullbrandMcKay Orthopedic Research Laboratory, Department of Orthopedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
James L CareyMcKay Orthopedic Research Laboratory, Department of Orthopedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Xuemei M ChengDepartment of Physics and Center for Engineering MechanoBiology, Bryn Mawr College, Bryn Mawr, PA, 19010, USA.
Robert L MauckDepartment of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID https://orcid.org/0000-0002-9537-603X

Funding

Overall: Resource-based Center for Musculoskeletal Disorders Research (Overall Application)P30AR069619 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI LOUIS J SOSLOWSKY · 2016 to 2026
$9.1M
Dynamic Fibrous Scaffolds for Repairing Dense Connective TissuesR01AR056624 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI Jason A Burdick, Robert L Mauck · 2009 to 2026
$7.5M
Training Program in Musculoskeletal ResearchT32AR007132 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI Robert L Mauck, LOUIS J SOSLOWSKY · 1986 to 2026
$4.9M
Tunable Mechano-Activated Microcapsules for Therapeutic DeliveryR01AR071340 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI DODGE, GEORGE R., LEE, DAEYEON · 2017 to 2020
$1.4M
RR&D Senior Research Career Scientist AwardIK6RX003416 · VA · PHILADELPHIA VA MEDICAL CENTER · PI Robert L Mauck · 2020 to 2026
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NIAMS NIH HHS P30 AR069619NIAMS NIH HHS R01 AR056624NIAMS NIH HHS R01 AR071340NIAMS NIH HHS T32 AR007132NIH HHS P30 AR069619NIH HHS R01 AR056624NIH HHS R01 AR071340NIH HHS T32 AR007132NSF CMMI: 15-48571RRD VA IK6 RX003416VA IK6 RX003416
6 · The paper itself

Abstract

Engineering complex tissues represents an extraordinary challenge and, to date, there have been few strategies developed that can easily recapitulate native-like cell and biofactor gradients in 3D materials. This is true despite the fact that mimicry of these gradients may be essential for the functionality of engineered graft tissues. Here, a non-traditional magnetics-based approach is developed to predictably position naturally diamagnetic objects in 3D hydrogels. Rather than magnetizing the objects within the hydrogel, the magnetic susceptibility of the surrounding hydrogel precursor solution is enhanced. In this way, a range of diamagnetic objects (e.g., polystyrene beads, drug delivery microcapsules, and living cells) are patterned in response to a brief exposure to a magnetic field. Upon photo-crosslinking the hydrogel precursor, object positioning is maintained, and the magnetic contrast agent diffuses out of the hydrogel, supporting long-term construct viability. This approach is applied to engineer cartilage constructs with a depth-dependent cellularity mirroring that of native tissue. These are thought to be the first results showing that magnetically unaltered cells can be magneto-patterned in hydrogels and cultured to generate heterogeneous tissues. This work provides a foundation for the formation of opposing magnetic-susceptibility-based gradients within a single continuous material.

Indexed as

Magnetic PhenomenaDiffusionHydrogelsTissue EngineeringHydrogelscell patterninggradientshydrogelsmagnetic fieldstissue engineering

Identifiers

PMID33073437
PMCPMC7723011

What OpenQuestion holds

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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.