Evidence map›Paper›PMID 30143060›Full record

ReviewGene expression2019

Biofabrication of Autologous Human Hepatocytes for Transplantation: How Do We Get There?

Nandini Agarwal, Branimir Popovic, Nicole J Martucci, Nicolas A Fraunhoffer, Alejandro Soto-Gutierrez

Abstract readReview
In one paragraph

Review in Gene expression, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Review
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

5 authors at 2 institutions in 2 countries.

Nandini AgarwalSchool of Bioscience and Technology, Vellore Institute of Technology, Vellore, India.
Branimir PopovicDepartment of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Nicole J MartucciDepartment of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Nicolas A FraunhofferDepartment of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Alejandro Soto-GutierrezDepartment of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
University of Pittsburgh · USVellore Institute of Technology University · IN

Funding

Mini-Livers Derived from Human IPS Cells for Modeling Steatosis and TherapyR01DK099257 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NAGRATH, DEEPAK, SOTO-GUTIERREZ, ALEJANDRO · 2014 to 2024
$3.4M
NIDDK NIH HHS R01 DK099257
6 · The paper itself

Abstract

Directed differentiation of hepatocytes from induced pluripotent stem cells (iPSCs) holds promise as source material for treating some liver disorders. The unlimited availability of perfectly differentiated iPSC-derived hepatocytes will dramatically facilitate cell therapies. While systems to manufacture large quantities of iPSC-derived cells have been developed, we have been unable to generate and maintain stable and mature adult liver cells ex vivo. This short review highlights important challenges and possible solutions to the current state of hepatocyte biofabrication for cellular therapies to treat liver diseases. Successful cell transplantation will require optimizing the best cell function, overcoming limitations to cell numbers and safety, as well as a number of other challenges. Collaboration among scientists, clinicians, and industry is critical for generating new autologous stem cell-based therapies to treat liver diseases.

Indexed as

AnimalsCell DifferentiationHepatocytesHumansInduced Pluripotent Stem CellsLiver DiseasesTransplantation, Autologous

Identifiers

PMID30143060
PMCPMC6466180
OpenAlexW2888531231

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.