Development of 3D Muscle Cell Culture-Based Screening System for Metabolic Syndrome Drug Research

Developing effective drug screening methods for type 2 diabetes requires physiologically relevant models. Traditional 2D cell cultures have limitations in replicating <i>in vivo</i> conditions, leading to challenges in assessing drug efficacy. To overcome these issues, we developed a 3D artificial muscle model that induces insulin resistance, a hallmark of type 2 diabetes. Using C2C12 myoblasts cultured in a scaffold of 1% alginate and 1 mg/mL collagen type 1, we optimized conditions for differentiation and structural stability. Insulin resistance was induced using palmitic acid (PA), and glucose uptake was assessed using the fluorescent glucose analog 2-NBDG. The 3D model demonstrated superior glucose uptake responses compared with 2D cultures, with a threefold increase in insulin-stimulated glucose uptake on days 4 and 8 of differentiation. Induced insulin resistance was observed with 0.1 mM PA, which maintained cell viability and differentiation capacity. The model was validated through comparative drug screening using rosiglitazone and metformin, as well as 165 candidate compounds provided by Korea Chemical Bank. Drug screening revealed that three out of five hit compounds identified in both 2D and 3D models exhibited greater efficacy in 3D cultures, with results consistent with <i>ex vivo</i> assays using mouse soleus muscle. This model closely mimics <i>in vivo</i> conditions, offering a robust platform for type 2 diabetes drug discovery while supporting ethical research practices.

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Publication Details

Journal
Tissue Engineering Part C Methods
Published
2025-02-01
DOI
https://doi.org/10.1089/ten.tec.2024.0292
Citations
1
Primary Topic
3D Printing in Biomedical Research
Type
article
Field-Weighted Citation Impact
0.67
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article

Development of 3D Muscle Cell Culture-Based Screening System for Metabolic Syndrome Drug Research

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1 citations
Tissue Engineering Part C Methods
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article

Development of 3D Muscle Cell Culture-Based Screening System for Metabolic Syndrome Drug Research

Kwang‐Lae Hoe, Byumseok Koh, Sung Bum Park, Kyung Jin Choi, Won Hoon Jung, Yoon-Ju Na, Ki Young Kim
article en
1 citations

Abstract

Developing effective drug screening methods for type 2 diabetes requires physiologically relevant models. Traditional 2D cell cultures have limitations in replicating <i>in vivo</i> conditions, leading to challenges in assessing drug efficacy. To overcome these issues, we developed a 3D artificial muscle model that induces insulin resistance, a hallmark of type 2 diabetes. Using C2C12 myoblasts cultured in a scaffold of 1% alginate and 1 mg/mL collagen type 1, we optimized conditions for differentiation and structural stability. Insulin resistance was induced using palmitic acid (PA), and glucose uptake was assessed using the fluorescent glucose analog 2-NBDG. The 3D model demonstrated superior glucose uptake responses compared with 2D cultures, with a threefold increase in insulin-stimulated glucose uptake on days 4 and 8 of differentiation. Induced insulin resistance was observed with 0.1 mM PA, which maintained cell viability and differentiation capacity. The model was validated through comparative drug screening using rosiglitazone and metformin, as well as 165 candidate compounds provided by Korea Chemical Bank. Drug screening revealed that three out of five hit compounds identified in both 2D and 3D models exhibited greater efficacy in 3D cultures, with results consistent with <i>ex vivo</i> assays using mouse soleus muscle. This model closely mimics <i>in vivo</i> conditions, offering a robust platform for type 2 diabetes drug discovery while supporting ethical research practices.

Tissue Engineering Part C MethodsVol. 31(2)
Chungnam National University (KR), Korea Research Institute of Chemical Technology (KR)
Good health and well-being
Openalex Percentile: Top 35%
3D Printing in Biomedical Research
0.67
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