Evidence map›Paper›PMID 30829146›Full record

ArticleTissue engineering. Part A2019

Effect of Human Amniotic Fluid Stem Cells on Kidney Function in a Model of Chronic Kidney Disease.

Sunil K George, Mehran Abolbashari, Tae-Hyoung Kim, Chao Zhang, Julie Allickson, John D Jackson, Sang Jin Lee, In Kap Ko, Anthony Atala, James J Yoo

Open access · greenAbstract read
In one paragraph

Article in Tissue engineering. Part A, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 30% of its field
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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  6. Differentiation of CD117Pakistan journal of medical sciences
    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

10 authors at 5 institutions in 3 countries.

Sunil K GeorgeWake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Mehran AbolbashariPaul L. Foster School of Medicine, Texas Tech University, El Paso, Texas.
Tae-Hyoung KimDepartment of Urology, Chung-Ang University College of Medicine, Seoul, Republic of Korea.
Chao ZhangDepartment of Urology, Shanghai Changhai Hospital, the Second Military Medical University, Shanghai, China.
Julie AllicksonWake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina.
John D JacksonWake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Sang Jin LeeWake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina.
In Kap KoWake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Anthony AtalaWake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina.
James J YooWake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Wake Forest University · USForest Institute · USChung-Ang University · KRSecond Military Medical University · CNTexas Tech University · US

Funding

Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
NCATS NIH HHS UL1 TR001420
6 · The paper itself

Abstract

Kidney disease is a major medical problem globally. Chronic kidney disease (CKD) is a progressive loss of kidney function. It causes accumulation of waste and fluid in the body, eventually resulting in kidney failure as well as damaging other organs. Although dialysis and kidney transplantation have been used as primary treatments for renal disease, dialysis does not restore full renal function, and there is a shortage of donor kidneys for transplantation. Recent advances in cell-based therapies have offered a means to augment and restore renal function. Various types of cells have been tested to evaluate their therapeutic effects on injured kidneys. Among various types of cells, amniotic fluid stem cells (AFSCs) share advantages of both embryonic and adult stem cells, such as pluripotent activity, remarkable plasticity, and immunomodulatory effects, which may allow their future therapeutic use as an "off-the-shelf" cell source. AFSC presents advantages of both conventional pluripotent and adult stem cells, such as pluripotent activity, remarkable plasticity, and immunomodulatory effects. This study demonstrates that administration of human-derived AFSC facilitates functional and structural improvement in a rat model of CKD, and suggests that cell therapy with AFSC has potential as a therapeutic strategy to recover renal function in patients with CKD. Impact Statement Patients with chronic kidney disease (CKD) have limited treatment options, and renal transplantation is the only definitive treatment method that restores kidney function. However, challenges associated with transplantation, including donor organ shortage, rejection, and life-long immunosuppression, remain a problem. Recently, stem cell-based therapies have been proposed as an alternative approach to augment and restore renal function. In this study, we used human-derived amniotic fluid stem cells (AFSCs) to treat CKD in a rat model and demonstrated that AFSC treatment facilitated positive effects in terms of improvements of renal function.

Indexed as

Kidney Function TestsStem Cell TransplantationAmniotic FluidAnimalsDisease Models, AnimalHumansKidneyMalePodocytesRats, NudeRenal Insufficiency, ChronicStem Cellsamniotic fluidchronic kidney diseasekidney regenerationstem cell therapy

Identifiers

PMID30829146
PMCPMC7059005
OpenAlexW2919334976

What OpenQuestion holds

Textmetadata
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.