Evidence map›Paper›PMID 29935988›Full record

ReviewAdvanced drug delivery reviews2018

3D bioprinting of functional tissue models for personalized drug screening and in vitro disease modeling.

Xuanyi Ma, Justin Liu, Wei Zhu, Min Tang, Natalie Lawrence, Claire Yu, Maling Gou, Shaochen Chen

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Advanced drug delivery reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 185 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
185citing papers in PubMed, 2 pooled it
18.8field-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

185 citing papers in PubMed, 2 syntheses or guidelines pooled it, 382 citations in OpenAlex.

  1. Pooled it
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  6. Cryopreservative Bioink Enables Direct Bioprinting of Adherent Cells.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
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125 more citing papers are in PubMed but not listed here.

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

8 authors at 2 institutions in 2 countries.

Xuanyi MaDepartment of Bioengineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.
Justin LiuMaterials Science and Engineering Program, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.
Wei ZhuDepartment of NanoEngineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.
Min TangDepartment of NanoEngineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.
Natalie LawrenceDepartment of NanoEngineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.
Claire YuDepartment of NanoEngineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.
Maling GouState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, PR China.
Shaochen ChenDepartment of Bioengineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA; Materials Science and Engineering Program, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA; Department of NanoEngineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA; State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, PR China. Electronic address: chen168@eng.ucsd.edu.
University of California, San Diego · USState Key Laboratory of Biotherapy

Funding

Rapid 3D bioprinting of biomimetic vascularized tissue constructsR01EB021857 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHEN, SHAOCHEN, DOKMECI, MEHMET REMZI · 2016 to 2019
$2.1M
Rapid 3D-printing of Multi-functional Adaptive Nerve ConduitsR21HD090662 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHEN, SHAOCHEN · 2017 to 2018
$382k
NIBIB NIH HHS R01 EB021857NICHD NIH HHS R21 HD090662
6 · The paper itself

Abstract

3D bioprinting is emerging as a promising technology for fabricating complex tissue constructs with tailored biological components and mechanical properties. Recent advances have enabled scientists to precisely position materials and cells to build functional tissue models for in vitro drug screening and disease modeling. This review presents state-of-the-art 3D bioprinting techniques and discusses the choice of cell source and biomaterials for building functional tissue models that can be used for personalized drug screening and disease modeling. In particular, we focus on 3D-bioprinted liver models, cardiac tissues, vascularized constructs, and cancer models for their promising applications in medical research, drug discovery, toxicology, and other pre-clinical studies.

Indexed as

BioprintingDrug Evaluation, PreclinicalModels, BiologicalPrecision MedicinePrinting, Three-DimensionalTissue EngineeringBiomimetic MaterialsCardiovascular DiseasesHumans3D printingBiomaterialsDisease modelDrug screeningIn vitro cultureTissue engineeringTissue model

Identifiers

PMID29935988
PMCPMC6226327
OpenAlexW2809205410

What OpenQuestion holds

Textmetadata
LicenceTDM
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.