Evidence map›Paper›PMID 32755004›Full record

ArticleAdvanced biosystems2020

Reconfigurable Microphysiological Systems for Modeling Innervation and Multitissue Interactions.

Jonathan R Soucy, Adam J Bindas, Ryan Brady, Tess Torregrosa, Cailey M Denoncourt, Sanjin Hosic, Guohao Dai, Abigail N Koppes, Ryan A Koppes

Abstract read
In one paragraph

Article in Advanced biosystems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Advancing organ-on-chip systems: the role of microfluidics in neuro-cardiac research.Current research in pharmacology and drug discovery · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. 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

9 authors.

Jonathan R SoucyDepartment of Chemical Engineering, Northeastern University, Boston, MA, 02115, USA.ORCID 0000-0003-1236-1279
Adam J BindasDepartment of Chemical Engineering, Northeastern University, Boston, MA, 02115, USA.
Ryan BradyDepartment of Chemical Engineering, Northeastern University, Boston, MA, 02115, USA.
Tess TorregrosaDepartment of Chemical Engineering, Northeastern University, Boston, MA, 02115, USA.
Cailey M DenoncourtDepartment of Bioengineering, Northeastern University, Boston, MA, 02115, USA.
Sanjin HosicDepartment of Chemical Engineering, Northeastern University, Boston, MA, 02115, USA.
Guohao DaiDepartment of Bioengineering, Northeastern University, Boston, MA, 02115, USA.
Abigail N KoppesDepartment of Chemical Engineering, Northeastern University, Boston, MA, 02115, USA.ORCID 0000-0003-0433-9290
Ryan A KoppesDepartment of Chemical Engineering, Northeastern University, Boston, MA, 02115, USA.ORCID 0000-0002-3376-6358

Funding

Engineering a Humanized Gut-Enteric-AxisR21EB025395 · NIBIB · NORTHEASTERN UNIVERSITY · PI KOPPES, ABIGAIL NELSON, KOPPES, RYAN ALAN · 2018 to 2020
$628k
NIBIB NIH HHS R21 EB025395
6 · The paper itself

Abstract

Tissue-engineered models continue to experience challenges in delivering structural specificity, nutrient delivery, and heterogenous cellular components, especially for organ-systems that require functional inputs/outputs and have high metabolic requirements, such as the heart. While soft lithography has provided a means to recapitulate complex architectures in the dish, it is plagued with a number of prohibitive shortcomings. Here, concepts from microfluidics, tissue engineering, and layer-by-layer fabrication are applied to develop reconfigurable, inexpensive microphysiological systems that facilitate discrete, 3D cell compartmentalization, and improved nutrient transport. This fabrication technique includes the use of the meniscus pinning effect, photocrosslinkable hydrogels, and a commercially available laser engraver to cut flow paths. The approach is low cost and robust in capabilities to design complex, multilayered systems with the inclusion of instrumentation for real-time manipulation or measures of cell function. In a demonstration of the technology, the hierarchal 3D microenvironment of the cardiac sympathetic nervous system is replicated. Beat rate and neurite ingrowth are assessed on-chip and quantification demonstrates that sympathetic-cardiac coculture increases spontaneous beat rate, while drug-induced increases in beating lead to greater sympathetic innervation. Importantly, these methods may be applied to other organ-systems and have promise for future applications in drug screening, discovery, and personal medicine.

Indexed as

Models, BiologicalCell Culture TechniquesCells, CulturedEquipment DesignHumansHuman Umbilical Vein Endothelial CellsHydrogelsMicrofluidic Analytical TechniquesMyocytes, CardiacNeuronsTissue EngineeringHydrogelscardiacmicrofluidicsnervous systemphotocrosslinkable hydrogeltissue engineering

Identifiers

PMID32755004
PMCPMC8136149

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.