Evidence map›Paper›PMID 41030283›Full record

ArticleBioengineering & translational medicine2025

Bionic scaffolds with integrated structural components based on low-temperature deposition manufacturing 3D printing technology for the treatment of meniscus defects.

Shi Shen, Yujie Li, Mingxue Chen, Weimin Guo, Shuang Gao, Zengzeng Zhang, Naiqiang Zhuo, Shuyun Liu, Quanyi Guo

Abstract read
In one paragraph

Article in Bioengineering & translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Application of PLCL as a biodegradable polymer in biomedical engineering.Journal of materials science. Materials in medicine · 2026
    Review
  3. 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.

Shi ShenChinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA Institute of Orthopedics Beijing People's Republic of China.
Yujie LiDepartment of Orthopedics, The Affiliated Hospital Southwest Medical University Luzhou People's Republic of China.ORCID https://orcid.org/0009-0003-4084-1568
Mingxue ChenChinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA Institute of Orthopedics Beijing People's Republic of China.
Weimin GuoChinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA Institute of Orthopedics Beijing People's Republic of China.
Shuang GaoChinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA Institute of Orthopedics Beijing People's Republic of China.
Zengzeng ZhangChinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA Institute of Orthopedics Beijing People's Republic of China.
Naiqiang ZhuoDepartment of Orthopedics, The Affiliated Hospital Southwest Medical University Luzhou People's Republic of China.ORCID https://orcid.org/0000-0002-5988-8361
Shuyun LiuChinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA Institute of Orthopedics Beijing People's Republic of China.
Quanyi GuoChinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA Institute of Orthopedics Beijing People's Republic of China.ORCID https://orcid.org/0000-0001-7154-2227

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tissue engineering provides a promising avenue for treating meniscus defects. In this study, a novel polycaprolactone (PCL)/collagen type I (COL I) meniscus scaffold was fabricated using low temperature deposition manufacturing (LDM) 3D printing technology. The scaffold had a ring and radial fiber structure, and its composition and structure were double bionic of the natural meniscus. In vitro experiments showed that the scaffold had good biological properties, which could promote the proliferation of meniscus fibrochondrocytes (MFCs) and increase the secretion of collagen and glycosaminoglycan. Moreover, the scaffold had excellent mechanical properties and could withstand various stress loads from the femur and tibia. The integrity of the scaffold structure was maintained to provide sufficient time and space for tissue regeneration. The PCL/ COL I scaffold has shown good therapeutic effect in a rabbit meniscus defect model and promotes meniscus regeneration. The results of experiments in rabbits suggest that the scaffold may recruit stem cells and differentiate into fibrochondrocytes in the knee joint, which needs to be verified by further experiments. This study introduces a method of fabricating a new structural composition double bionic meniscus scaffold by LDM technology and verifies its ability to promote cell proliferation, increase the secretion of the extracellular matrix of fibrocartilage, and regulate the microenvironment of cell growth. In addition, this scaffold has achieved good results in repairing meniscus defects in small animal models. Our findings strongly indicate that the PCL/COL I biomimetic meniscus scaffold prepared using 3D-LDM technology holds great promise for repairing and regenerating damaged menisci.

Indexed as

3D printingintegrationlow‐temperature deposition manufacturingmeniscus tissue engineeringPCL/COL I

Identifiers

PMID41030283
PMCPMC12478442

What OpenQuestion holds

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Registered trials

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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.