Evidence map›Paper›PMID 26454909›Full record

ArticleNephrology news & issues2015

iPS cell technology: Future impact on renal care.

Benjamin S Freedman, Theodore I Steinman

Abstract read
In one paragraph

Article in Nephrology news & issues, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Benjamin S Freedman
Theodore I Steinman

Funding

Modeling Polycystic Kidney Disease Using Human Induced Pluripotent Stem CellsK01DK102826 · NIDDK · UNIVERSITY OF WASHINGTON · PI FREEDMAN, BENJAMIN SOLOMON · 2014 to 2018
$743k
Modeling Polycystic Kidney Disease Using Human Induced Pluripotent Stem CellsF32DK092036 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI FREEDMAN, BENJAMIN SOLOMON · 2011 to 2013
$174k
NIDDK NIH HHS F32 DK092036NIDDK NIH HHS K01 DK102826
6 · The paper itself

Abstract

iPS cells from patients with kidney disease are a new tool with the potential to impact the future of renal care. They can be used in the laboratory to model the pathophysiology of human kidney disease, and have the potential to establish a new area of immunocompatible, on-demand renal transplantation. Critical challenges remain before the full potential of these cells can be accurately assessed. We need to understand whether the derived cell types are mature and can replace kidney function(s). To what extent can iPS cells model kidney disease in the simplified environment of cell culture? Ultimately, successful integration of these cells as autograft therapies will require demonstration of safety and efficacy equal or superior to the existing gold standards of kidney allograft transplantation and dialysis. Specific educational and infrastructural changes will be necessary if these specialized technologies are to be adopted as an accepted modalities in clinical medicine. Given these barriers, the first fruit of these labors is likely to be improved understanding of pathophysiological pathways in human IPS cell disease models, followed by drug discovery and testing. These experiments will lead naturally to improvements in differentiation and experiments in animal models testing function. The time course to achieve the desired goals remains unknown, but the ultimate hope is that new, more effective and less expensive modalities for renal replacement therapy will occur in the foreseeable future. A new standard of care for patients is anticipated that addresses limitations of currently available treatments.

Indexed as

Cell- and Tissue-Based TherapyHumansInduced Pluripotent Stem CellsKidney DiseasesPhenotype

Identifiers

PMID26454909
PMCPMC4918073

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.