Evidence map›Paper›PMID 41278903›Full record

ArticlebioRxiv : the preprint server for biology2025

3D Hybrid Bioprinting for Complex Multi-Tissue Engineering.

Hossein Vahid Alizadeh, Andrea S Flores Pérez, Tomohiro Uno, Richard Sammy Muniz, Sun Hyung Kwon, Anjana Balachandar, Nicholas Riley, Chantal Aivan Le, Jiannan Li, Peng Zhao and 8 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Hossein Vahid AlizadehDepartment of Orthopaedic Surgery, Stanford University, Stanford, USA.
Andrea S Flores PérezDepartment of Bioengineering, Stanford University, Stanford, USA.ORCID 0009-0008-0137-9821
Tomohiro UnoDepartment of Orthopaedic Surgery, Stanford University, Stanford, USA.
Richard Sammy MunizSchool of Medicine, Stanford University, Stanford, USA.
Sun Hyung KwonDepartment of Orthopaedic Surgery, Stanford University, Stanford, USA.
Anjana BalachandarDepartment of Bioengineering, Stanford University, Stanford, USA.
Nicholas RileyDepartment of Mechanical Engineering, Stanford University, Stanford, USA.
Chantal Aivan LeDepartment of Biology, Stanford University, Stanford, USA.
Jiannan LiDepartment of Orthopaedic Surgery, Stanford University, Stanford, USA.
Peng ZhaoDepartment of Orthopaedic Surgery, Stanford University, Stanford, USA.
Elaine LuiDepartment of Mechanical Engineering, Stanford University, Stanford, USA.
Carolyn KimDepartment of Mechanical Engineering, Stanford University, Stanford, USA.
Seyedsina MoeinzadehDepartment of Orthopaedic Surgery, Stanford University, Stanford, USA.
Chi-Chun PanDepartment of Mechanical Engineering, Stanford University, Stanford, USA.
Nidhi BhutaniDepartment of Orthopaedic Surgery, Stanford University, Stanford, USA.
Constance ChuDepartment of Orthopaedic Surgery, Stanford University, Stanford, USA.
Sungwoo KimDepartment of Orthopaedic Surgery, Stanford University, Stanford, USA.
Yunzhi P YangDepartment of Orthopaedic Surgery, Stanford University, Stanford, USA.

Funding

Tissue Engineering Approaches for Improved Treatment of Early Stage Osteonecrosis of the HipR01AR072613 · NIAMS · STANFORD UNIVERSITY · PI GOODMAN, STUART B, YANG, YUNZHI · 2018 to 2022
$2.2M
Preclinical microphysiological tumor models for nuclear medicineR01CA268514 · NCI · STANFORD UNIVERSITY · PI Guillem Pratx, JOHN B SUNWOO · 2023 to 2026
$2.1M
Vascularization in bone tissue engineering constructsR01AR074458 · NIAMS · STANFORD UNIVERSITY · PI YANG, YUNZHI · 2019 to 2023
$1.7M
500 MHz NMR Spectrometer System with High Sensitivity Cryoprobe and Automated Sample Changer for Biochemical ResearchS10OD028697 · OD · STANFORD UNIVERSITY · PI BURNS, NOAH ZACHARY · 2020 to 2020
$709k
NCI NIH HHS R01 CA268514NIAMS NIH HHS R01 AR072613NIAMS NIH HHS R01 AR074458NIH HHS S10 OD028697
6 · The paper itself

Abstract

3D bioprinting has revolutionized tissue engineering, enabling intricate, physiologically relevant constructs unattainable with conventional techniques, yet it remains limited in integrating soft and rigid multifunctional components for complex multi-tissue applications. In this study, we introduce a 3D hybrid bioprinting approach implementing the Hybprinter platform, which integrates multiple 3D printing modules under optimized conditions for a continuous bioprinting process with multiple soft and hard biomaterials. This approach demonstrates robust biocompatibility and broad tissue engineering potential for modeling and therapeutic applications. The capacity to fabricate multi-hydrogel hybrid constructs is illustrated by representative examples highlighting vascularization, multifunctionality, mechanical robustness, and implant suturability. Notably, compared with commonly fabricated hydrogel-only constructs, the resulting hybrid constructs achieve over a 1000-fold increase in mechanical strength, and demonstrated enhanced osteogenic differentiation, underscoring their suitability for load-bearing musculoskeletal and orthopedic tissue engineering. Additionally, cell-laden hydrogel constructs demonstrated robust chondrogenic differentiation, highlighting the capacity for lineage-specific tissue development in vitro. Beyond these outcomes, the presented hybrid bioprinting approach integrates essential tissue engineering attributes that unites mechanical robustness and suturable capacity with multi-material integration, gradient property design, incorporation of bioactive agents, and support for multi-cell loading. This versatile platform advances complex tissue engineering and holds promise for patient specific, organ-on-demand applications.

Indexed as

biomaterialsbioprintingmulti-material biofabricationmusculoskeletal therapeuticsorthopedic graftstissue engineering

Identifiers

PMID41278903
PMCPMC12637617

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.