Evidence map›Paper›PMID 32012725›Full record

ReviewCells2020

Tissue Engineering in Liver Regenerative Medicine: Insights into Novel Translational Technologies.

Zahra Heydari, Mustapha Najimi, Hamed Mirzaei, Anastasia Shpichka, Marc Ruoss, Zahra Farzaneh, Leila Montazeri, Abbas Piryaei, Peter Timashev, Roberto Gramignoli and 3 more

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
13.3field-weighted citation impact, top 1% 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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 105 citations in OpenAlex.

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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

13 authors at 8 institutions in 5 countries.

Zahra HeydariDepartment of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran 1665659911, Iran.
Mustapha NajimiDepartment of Developmental Biology, University of Science and Culture, ACECR, Tehran 1665659911, Iran.
Hamed MirzaeiLaboratory of Pediatric Hepatology and Cell Therapy, Institute of Experimental & Clinical Research, Université Catholique de Louvain, 1200 Brussels, Belgium.
Anastasia ShpichkaResearch Center for Biochemistry and Nutrition in Metabolic Diseases, Kashan University of Medical Sciences, Kashan 121135879, Iran.
Marc RuossInstitute for Regenerative Medicine, Sechenov University, 119146 Moscow, Russia.
Zahra FarzanehDepartment of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran 1665659911, Iran.
Leila MontazeriSiegfried Weller Institute for Trauma Research, University of Tübingen, 72076 Tübingen, Germany.
Abbas PiryaeiDepartment of Cell Engineering, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran 1665659911, Iran.
Peter TimashevResearch Center for Biochemistry and Nutrition in Metabolic Diseases, Kashan University of Medical Sciences, Kashan 121135879, Iran.
Roberto GramignoliDepartment of Polymers and Composites, N.N.Semenov Institute of Chemical Physics, 117977 Moscow, Russia.
Andreas NusslerInstitute for Regenerative Medicine, Sechenov University, 119146 Moscow, Russia.
Hossein BaharvandDepartment of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran 1665659911, Iran.
Massoud VosoughDepartment of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran 1665659911, Iran.
Royan Institute · IRSechenov University · RUUniversity of Science and Culture · IRUniversity of Tübingen · DEKarolinska Institutet · SEKashan University of Medical Sciences · IRShahid Beheshti University of Medical Sciences · IRUCLouvain · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organ and tissue shortage are known as a crucially important public health problem as unfortunately a small percentage of patients receive transplants. In the context of emerging regenerative medicine, researchers are trying to regenerate and replace different organs and tissues such as the liver, heart, skin, and kidney. Liver tissue engineering (TE) enables us to reproduce and restore liver functions, fully or partially, which could be used in the treatment of acute or chronic liver disorders and/or generate an appropriate functional organ which can be transplanted or employed as an extracorporeal device. In this regard, a variety of techniques (e.g., fabrication technologies, cell-based technologies, microfluidic systems and, extracorporeal liver devices) could be applied in tissue engineering in liver regenerative medicine. Common TE techniques are based on allocating stem cell-derived hepatocyte-like cells or primary hepatocytes within a three-dimensional structure which leads to the improvement of their survival rate and functional phenotype. Taken together, new findings indicated that developing liver tissue engineering-based techniques could pave the way for better treatment of liver-related disorders. Herein, we summarized novel technologies used in liver regenerative medicine and their future applications in clinical settings.

Indexed as

Regenerative MedicineTissue EngineeringTranslational Research, BiomedicalAnimalsHumansLiver DiseasesLiver RegenerationTissue Scaffoldsliverregenerative medicinetissue engineeringtranslational medicine

Identifiers

PMID32012725
PMCPMC7072533
OpenAlexW3002488234

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.