Evidence map›Paper›PMID 35497336›Full record

ArticleFrontiers in bioengineering and biotechnology2022

The Production of Fat-Containing Cultured Meat by Stacking Aligned Muscle Layers and Adipose Layers Formed From Gelatin-Soymilk Scaffold.

Chi-Han Li, I-Hsuan Yang, Cherng-Jyh Ke, Chih-Ying Chi, Jefunnie Matahum, Che-Yung Kuan, Nehar Celikkin, Wojciech Swieszkowski, Feng-Huei Lin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 62 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Integrative Adipogenic Engineering of Cultured Fat for Cell Based Meat.Comprehensive reviews in food science and food safety · 2026
    Review
  8. Review
  9. Review
  10. Article
  11. Scaling Cultured Meat: Challenges and Solutions for Affordable Mass Production.Comprehensive reviews in food science and food safety · 2025
    Review
  12. Review
  13. Article
  14. Scaffolds Bioink for Three-Dimensional (3D) Bioprinting.Food science of animal resources · 2025
    Review
  15. Cutting-Edge Technologies of Meat Analogs: A Review.Food science of animal resources · 2025
    Review
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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 at 5 institutions in 2 countries.

Chi-Han LiPh.D. Program in Tissue Engineering and Regenerative Medicine, National Chung Hsing University, Taichung, Taiwan.
I-Hsuan YangInstitute of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan.
Cherng-Jyh KeBiomaterials Translational Research Center, China Medical University Hospital, Taichung, Taiwan.
Chih-Ying ChiPh.D. Program in Tissue Engineering and Regenerative Medicine, National Chung Hsing University, Taichung, Taiwan.
Jefunnie MatahumInstitute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Hsinchu, Taiwan.
Che-Yung KuanInstitute of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan.
Nehar CelikkinFaculty of Material Science and Engineering, Warsaw University of Technology, Warsaw, Poland.
Wojciech SwieszkowskiFaculty of Material Science and Engineering, Warsaw University of Technology, Warsaw, Poland.
Feng-Huei LinPh.D. Program in Tissue Engineering and Regenerative Medicine, National Chung Hsing University, Taichung, Taiwan.
National Health Research Institutes · TWNational Taiwan University · TWWarsaw University of Technology · PLChina Medical University Hospital · TWNational Chung Hsing University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tissue engineered cultured meat has been proposed as an emerging innovative process for meat production to overcome the severe consequences of livestock farming, climate change, and an increasing global population. However, currently, cultured meat lacks organized tissue structure, possesses insufficient fat content, and incurs high production costs, which are the major ongoing challenges. In this study, a developed scaffold was synthesized using gelatin and soymilk to create a friendly environment for myogenesis and adipogenesis in C2C12 and 3T3-L1 cells, respectively. The fat containing cultured meat was fabricated with an aligned muscle-like layer and adipose-like layer by stacking these layers alternately. The muscle-like layer expressing myosin and the adipose-like layer abundant in fat were sandwiched to form fat containing muscle tissue. The cytotoxicity and cell survival rate were evaluated using the WST-1 assay and live/dead staining. Myogenesis was confirmed by the expression of myogenin and myosin. The myotubes, myofibrils, and sarcomeres were observed under an inverted microscope, fluorescence microscope, and scanning electron microscope. Adipogenesis was evaluated by protein expression of the peroxisome proliferator-activated receptor γ, and oil droplet accumulation was determined by fluorescence microscopy with Nile Red stain. Extracellular matrix secretion was examined by safranin-O staining. In this study, the cultured meat was prepared with muscle-like texture with the addition of pre-adipocyte, where the multilayered muscle-like tissues with fat content would produce juicy cultured meat.

Indexed as

adipose tissuealigned muscle structurecultured meatgelatinin-vitro meatsoymilk

Identifiers

PMID35497336
PMCPMC9039213
OpenAlexW4285684785

What OpenQuestion holds

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LicenceCC BY
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.