Evidence map›Paper›PMID 40171244›Full record

ArticleJournal of tissue engineering

Construction of artificial lung tissue structure with 3D-inkjet bioprinting core for pulmonary disease evaluation.

Weimin Wan, Xi Wang, Rongtao Zhang, Yixuan Li, Haonan Wu, Yiman Liu, Fan Zhang, Jia Liu, Guiquan Liu, Lin Zhou and 3 more

Abstract read
In one paragraph

Article in Journal of tissue engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. 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

13 authors.

Weimin WanState Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, China.
Xi WangState Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, China.
Rongtao ZhangState Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, China.
Yixuan LiState Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, China.
Haonan WuState Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, China.
Yiman LiuState Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, China.
Fan ZhangState Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, China.
Jia LiuState Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, China.
Guiquan LiuState Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, China.
Lin ZhouState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, China.
Zhenhua WuState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, China.
Hongju MaoState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, China.
Jian YangState Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, China.ORCID https://orcid.org/0000-0002-8581-5430

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

By integrating 3D-inkjet bioprinting technology, differentiated human cells can be assembled into artificial lung tissue structure to achieve a rapid, efficient, and reproducible disease model construction process. Here, we developed a novel 3D-inkjet bioprinting-based method to construct artificial lung tissue structure (ALTs) for acute lung injury (ALI) disease modeling, research and application. It can also be used to study the role of relevant cells in the disease by adjusting the cell type and adapted to study the bio-functions of immune cells during the cell-cell interactions. Firstly, a series of process optimizations were done to mass-produce the alginate hydrogel microspheres (Alg) with a particle size of 262.63 ± 5 μm using a 3D bioprinter, then the type I collagen and polydopamine were deposited in turns to construct a cell adhesion layer on the surfaces of Alg (P-Alg) and the particle size was increased to 328.41 ± 3.81 μm. This platform exhibites good stability, timescale-dependent behavior, and long-term cell adhesion. Subsequently, several human cells including endothelial, epithelial, fibroblast, and even immune cells such as macrophages were adhered to P-Alg through rotational culture, leading to cell contractions and aggregation, subsequently formed ALTs or ALTs with macrophages (ALTs@M) with human alveolar-like structure. Finally, we successfully constructed an ALI model with lung barrier damage on ALTs using lipopolysaccharide stimulation in vitro, and comparison of secreted inflammatory factors between ALTs and ALTs@M. Results demonstrated that ALTs@M was more effective than ALTs in stimulating the inflammatory microenvironment of the lungs, providing a novel in vitro model for cellular interactions and human macrophage research. Altogether, this artificial lung tissue structure construction strategy using 3D-inkjet bioprinting technology allowed the flexible development of artificial lung tissue structures as potential disease models for preclinical studies.

Indexed as

3D-inkjet bioprintingacute lung injuryartificial lung tissue structuremacrophagessurface modification

Identifiers

PMID40171244
PMCPMC11960185

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.