Evidence map›Paper›PMID 28090431›Full record

ArticleCurrent transplantation reports2016

A Role for 3D Printing in Kidney-on-a-Chip Platforms.

Ryan D Sochol, Navin R Gupta, Joseph V Bonventre

Abstract read
In one paragraph

Article in Current transplantation reports, 2016. 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.

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  12. Effect of fluid shear stress onBiomicrofluidics · 2018
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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

3 authors.

Ryan D SocholDepartment of Mechanical Engineering, University of Maryland, College Park, MD.
Navin R GuptaRenal Division, Brigham and Women's Hospital, Department of Medicine, Harvard Medical School, Boston, MA.
Joseph V BonventreRenal Division, Brigham and Women's Hospital, Department of Medicine, Harvard Medical School, Boston, MA; Harvard Stem Cell Institute, Cambridge, Massachusetts, USA.

Funding

TRAINING PROGRAM IN ACADEMIC NEPHROLOGYT32DK007527 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI BONVENTRE, JOSEPH VINCENT · 1986 to 2021
$8.8M
KIDNEY INJURY MOLECULE-1 IN EPITHELIAL REPAIRR01DK072381 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI BONVENTRE, JOSEPH VINCENT · 2005 to 2025
$8.6M
NIDDK NIH HHS R01 DK072381NIDDK NIH HHS T32 DK007527
6 · The paper itself

Abstract

The advancement of "kidney-on-a-chip" platforms - submillimeter-scale fluidic systems designed to recapitulate renal functions in vitro - directly impacts a wide range of biomedical fields, including drug screening, cell and tissue engineering, toxicity testing, and disease modelling. To fabricate kidney-on-a-chip technologies, researchers have primarily adapted traditional micromachining techniques that are rooted in the integrated circuit industry; hence the term, "chip." A significant challenge, however, is that such methods are inherently monolithic, which limits one's ability to accurately recreate the geometric and architectural complexity of the kidney in vivo. Better reproduction of the anatomical complexity of the kidney will allow for more instructive modelling of physiological and pathophysiological events. Emerging additive manufacturing or "three-dimensional (3D) printing" techniques could provide a promising alternative to conventional methodologies. In this article, we discuss recent progress in the development of both kidney-on-a-chip platforms and state-of-the-art submillimeter-scale 3D printing methods, with a focus on biophysical and architectural capabilities. Lastly, we examine the potential for 3D printing-based approaches to extend the efficacy of kidney-on-a-chip systems.

Indexed as

3D PrintingAdditive ManufacturingBioartificial KidneyKidney-on-a-chipMicrofluidicsOrgan-on-a-Chip

Identifiers

PMID28090431
PMCPMC5232415

What OpenQuestion holds

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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.