Evidence map›Paper›PMID 38041911›Full record

ReviewBiomaterials2024

A comprehensive review on 3D tissue models: Biofabrication technologies and preclinical applications.

Renjian Xie, Vaibhav Pal, Yanrong Yu, Xiaolu Lu, Mengwei Gao, Shijie Liang, Miao Huang, Weijie Peng, Ibrahim T Ozbolat

Abstract readReview
In one paragraph

Review in Biomaterials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Review
  2. Article
  3. New approach methodologies (NAMs) for preclinical and translational evaluation of mRNA-lipid nanoparticle (LNP) therapeutics.Journal of controlled release : official journal of the Controlled Release Society · 2026
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Quantifying single-cell responses to irradiation in 3D.Frontiers in bioengineering and biotechnology · 2026
    Article
  19. Review
  20. 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

9 authors.

Renjian XieKey Laboratory of Biomaterials and Biofabrication for Tissue Engineering in Jiangxi Province, Gannan Medical University, Ganzhou, JX, 341000, China; Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, JX, China.
Vaibhav PalDepartment of Chemistry, Pennsylvania State University, University Park, PA, USA; The Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA, USA.
Yanrong YuSchool of Pharmaceutics, Nanchang University, Nanchang, JX, 330006, China.
Xiaolu LuKey Laboratory of Biomaterials and Biofabrication for Tissue Engineering in Jiangxi Province, Gannan Medical University, Ganzhou, JX, 341000, China; Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, JX, China.
Mengwei GaoSchool of Pharmaceutics, Nanchang University, Nanchang, JX, 330006, China.
Shijie LiangSchool of Pharmaceutics, Nanchang University, Nanchang, JX, 330006, China.
Miao HuangKey Laboratory of Biomaterials and Biofabrication for Tissue Engineering in Jiangxi Province, Gannan Medical University, Ganzhou, JX, 341000, China; Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, JX, China.
Weijie PengKey Laboratory of Biomaterials and Biofabrication for Tissue Engineering in Jiangxi Province, Gannan Medical University, Ganzhou, JX, 341000, China; Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, JX, China; School of Pharmaceutics, Nanchang University, Nanchang, JX, 330006, China. Electronic address: pengweijie@gmu.edu.cn.
Ibrahim T OzbolatThe Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA, USA; Engineering Science and Mechanics Department, Penn State University, University Park, PA, USA; Department of Biomedical Engineering, Pennsylvania State University, University Park, PA, USA; Materials Research Institute, Pennsylvania State University, University Park, PA, USA; Department of Neurosurgery, Pennsylvania State College of Medicine, Hershey, PA, USA; Penn State Cancer Institute, Penn State University, Hershey, PA, 17033, USA; Department of Medical Oncology, Cukurova University, Adana, 01130, Turkey; Biotechnology Research and Application Center, Cukurova University, Adana, 01130, Turkey. Electronic address: ito1@psu.edu.

Funding

Technology Development Project - Increasing the complexity of ex vivo human airway models for studying immune response to viral infectionU19AI142733 · NIAID · JACKSON LABORATORY · PI Anna Karolina Palucka · 2019 to 2026
$23.1M
Intraoperative bioprinting of composite tissues with zonal stratification for craniomaxillofacial reconstructionR01DE028614 · NIDCR · PENNSYLVANIA STATE UNIVERSITY, THE · PI OZBOLAT, IBRAHIM · 2020 to 2024
$2.8M
High-throughput Spheroid Bioprinting Technology for Scalable Fabrication of TissuesR01EB034566 · NIBIB · PENNSYLVANIA STATE UNIVERSITY, THE · PI Ibrahim Ozbolat · 2023 to 2026
$2.2M
NIAID NIH HHS U19 AI142733NIBIB NIH HHS R01 EB034566NIDCR NIH HHS R01 DE028614
6 · The paper itself

Abstract

The limitations of traditional two-dimensional (2D) cultures and animal testing, when it comes to precisely foreseeing the toxicity and clinical effectiveness of potential drug candidates, have resulted in a notable increase in the rate of failure during the process of drug discovery and development. Three-dimensional (3D) in-vitro models have arisen as substitute platforms with the capacity to accurately depict in-vivo conditions and increasing the predictivity of clinical effects and toxicity of drug candidates. It has been found that 3D models can accurately represent complex tissue structure of human body and can be used for a wide range of disease modeling purposes. Recently, substantial progress in biomedicine, materials and engineering have been made to fabricate various 3D in-vitro models, which have been exhibited better disease progression predictivity and drug effects than convention models, suggesting a promising direction in pharmaceutics. This comprehensive review highlights the recent developments in 3D in-vitro tissue models for preclinical applications including drug screening and disease modeling targeting multiple organs and tissues, like liver, bone, gastrointestinal tract, kidney, heart, brain, and cartilage. We discuss current strategies for fabricating 3D models for specific organs with their strengths and pitfalls. We expand future considerations for establishing a physiologically-relevant microenvironment for growing 3D models and also provide readers with a perspective on intellectual property, industry, and regulatory landscape.

Indexed as

BioprintingTissue EngineeringAnimalsDrug DiscoveryDrug Evaluation, PreclinicalHumansPrinting, Three-Dimensional3D tissue modelsBiofabricationBioprintingDisease modelingDrug screeningMicrofluidics

Identifiers

PMID38041911
PMCPMC10843844

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.