Evidence map›Paper›PMID 30244825›Full record

ReviewBiomaterials2019

Multiscale bioprinting of vascularized models.

Amir K Miri, Akbar Khalilpour, Berivan Cecen, Sushila Maharjan, Su Ryon Shin, Ali Khademhosseini

Abstract readReview
In one paragraph

Review in Biomaterials, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed
12.8field-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

92 citing papers in PubMed, 255 citations in OpenAlex.

  1. Article
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  10. Review
  11. Stimuli-responsive hybrid materials for 4DMaterials today. Bio · 2025
    Review
  12. Review
  13. Review
  14. Article
  15. Engineering in vitro vascular microsystems.Microsystems & nanoengineering · 2025
    Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. Review

32 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

6 authors at 4 institutions in 3 countries.

Amir K MiriDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA; Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA 02139, USA; Department of Mechanical Engineering, Rowan University, Glassboro, NJ 08028, USA. Electronic address: miri@rowan.edu.
Akbar KhalilpourDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA; Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA 02139, USA.
Berivan CecenDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA; Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA 02139, USA.
Sushila MaharjanDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA; Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA 02139, USA.
Su Ryon ShinDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA; Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA 02139, USA.
Ali KhademhosseiniDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA; Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA 02139, USA; Department of Bioengineering, Department of Chemical and Biomolecular Engineering, Henry Samueli School of Engineering and Applied Sciences, University of California-Los Angeles, Los Angeles, CA, USA; Department of Radiology, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA, USA; Center for Minimally Invasive Therapeutics (C-MIT), University of California-Los Angeles, Los Angeles, CA, USA; California NanoSystems Institute (CNSI), University of California-Los Angeles, Los Angeles, CA, USA; Department of Bioindustrial Technologies, College of Animal Bioscience and Technology, Konkuk University, Seoul, Republic of Korea; Center for Nanotechnology, King Abdulaziz University, Jeddah 21569, Saudi Arabia. Electronic address: khademh@ucla.edu.
Harvard–MIT Division of Health Sciences and Technology · USBrigham and Women's Hospital · USHarvard University · USRowan University · US

Funding

Microengineered Osteons for Bone Tissue EngineeringR01AR057837 · NIAMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI YANG, YUNZHI · 2010 to 2018
$5.1M
Engineering personalized micro-tumor ecosystemsU01CA214411 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI KHADEMHOSSEINI, ALI, SENGUPTA, SHILADITYA · 2017 to 2021
$3.5M
Hemorrhage control in the irreversible anticoagulated patientR01HL137193 · NHLBI · MAYO CLINIC ARIZONA · PI OKLU, RAHMI · 2017 to 2021
$3.0M
Engineering a naturally derived and highly adhesive surgical sealantR01EB023052 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ANNABI, NASIM, KHADEMHOSSEINI, ALI · 2017 to 2022
$2.4M
Targeted chemotherapy delivery and captureR01EB024403 · NIBIB · MAYO CLINIC ARIZONA · PI KHADEMHOSSEINI, ALI, OKLU, RAHMI · 2017 to 2020
$2.2M
3D printed muscle-bone organ implant for treating large injuriesR01AR073135 · NIAMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DOKMECI, MEHMET REMZI, JANG, HAE LIN · 2018 to 2022
$2.2M
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
High-Throughput Microenvironment Regulation for ChondrogenesisR01AR066193 · NIAMS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI ALSBERG, EBEN, KHADEMHOSSEINI, ALI · 2015 to 2020
$2.1M
MICROFLUIDIC SYSTEM FOR SCREENING STEM CELL MICROENVIRONMENTSR01EB008392 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI KHADEMHOSSEINI, ALI · 2009 to 2010
$820k
Smart wound dressing for treating chronic diabetic ulcersR21EB022403 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI KHADEMHOSSEINI, ALI · 2016 to 2017
$484k
CIHRNCI NIH HHS U01 CA214411NHLBI NIH HHS R01 HL137193NIAMS NIH HHS R01 AR057837NIAMS NIH HHS R01 AR066193NIAMS NIH HHS R01 AR073135NIBIB NIH HHS R01 EB008392NIBIB NIH HHS R01 EB021857NIBIB NIH HHS R01 EB023052NIBIB NIH HHS R01 EB024403NIBIB NIH HHS R21 EB022403
6 · The paper itself

Abstract

A basic prerequisite for the survival and function of three-dimensional (3D) engineered tissue constructs is the establishment of blood vessels. 3D bioprinting of vascular networks with hierarchical structures that resemble in vivo structures has allowed blood circulation within thick tissue constructs to accelerate vascularization and enhance tissue regeneration. Successful rapid vascularization of tissue constructs requires synergy between fabrication of perfusable channels and functional bioinks that induce angiogenesis and capillary formation within constructs. Combinations of 3D bioprinting techniques and four-dimensional (4D) printing concepts through patterning proangiogenic factors may offer novel solutions for implantation of thick constructs. In this review, we cover current bioprinting techniques for vascularized tissue constructs with vasculatures ranging from capillaries to large blood vessels and discuss how to implement these approaches for patterning proangiogenic factors to maintain long-term, stimuli-controlled formation of new capillaries.

Indexed as

Neovascularization, PhysiologicAnimalsBioprintingEquipment DesignHumansPrinting, Three-DimensionalTissue EngineeringTissue ScaffoldsAngiogenesisCore/shellSacrificial bioinkStereolithographyTissue engineering

Identifiers

PMID30244825
PMCPMC6360139
OpenAlexW2887928253

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.