Evidence map›Paper›PMID 41520279›Full record

ArticleOrganogenesis2026

Optimization of TX-100/SDS-based decellularized vascular material using ultrasound and chemical treatment: evaluation of structure and biosafety.

Hongguang Chen, Xiaomei Bie, Lifang Hao, HaiGang Jia, Xiufen Li, Chunli Zhang, Jianmei Guo

Abstract read
In one paragraph

Article in Organogenesis, 2026. 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

7 authors.

Hongguang ChenDepartment of Orthopedics, the Fourth Medical Center of PLA General Hospital, Beijing, People's Republic of China.
Xiaomei BieDepartment Outpatient, the Fourth Medical Center of PLA General Hospital, Beijing, People's Republic of China.
Lifang HaoBeijing Engineering Research Center of Orthopedics Implants, Beijing, People's Republic of China.
HaiGang JiaDepartment of Orthopedics, the Fourth Medical Center of PLA General Hospital, Beijing, People's Republic of China.
Xiufen LiJingdong Medical District, General Hospital of PLA General Hospital, Beijing, People's Republic of China.
Chunli ZhangDepartment of Orthopedics, the Fourth Medical Center of PLA General Hospital, Beijing, People's Republic of China.
Jianmei GuoSchool of Basic Medicine, Xingtai Medical College, Hebei Xingtai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Decellularized blood vessels with low immunogenicity and excellent biocompatibility are promising for tissue engineering and clinical applications. However, current decellularization methods face limitations in cell removal efficiency, matrix preservation, and biosafety. This study optimized the Triton X-100/SDS (TX-100/SDS) decellularization method using ultrasound technology by systematically evaluating the effects of ultrasound power, temperature, and processing time on decellularization efficiency. The optimized method achieved a 72% reduction in nucleic acid residues at 100 W power while preserving matrix integrity and significantly reducing chemical reagent residues. Structural and biosafety evaluations confirmed that the optimized scaffolds met biological safety standards and demonstrated excellent stability, providing a strong foundation for developing high-performance decellularized vascular materials for clinical applications.

Indexed as

Blood VesselsDecellularized Extracellular MatrixOctoxynolSodium Dodecyl SulfateAnimalsTissue EngineeringTissue ScaffoldsDecellularized Extracellular MatrixOctoxynolSodium Dodecyl Sulfatebioengineeringdecellularization techniquesDecellularized blood vesselsultrasound-assisted optimization

Identifiers

PMID41520279
PMCPMC12795264

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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.