# Selection of optimal human myoblasts based on patient related factors influencing proliferation and differentiation capacity

**Authors:** Moritz Englich, Andreas Arkudas, Lilly Mengen, Raymund E. Horch, Aijia Cai

PMC · DOI: 10.1038/s41598-025-96108-1 · Scientific Reports · 2025-04-05

## TL;DR

This study identifies patient-related factors that influence the growth and function of human myoblasts, aiding in the selection of optimal cells for muscle tissue engineering.

## Contribution

A multiple linear regression model is developed to predict myoblast proliferation based on patient characteristics like age, BMI, and gender.

## Key findings

- Higher age, BMI, and chemotherapy negatively affect desmin expression in myoblasts.
- Differentiation of myoblasts is influenced by gender and anatomical sampling site.
- Previous radiotherapy causes senescence in myoblasts.

## Abstract

Human myoblasts (hMb) are a promising source for engineering skeletal muscle tissue. But sample-specific variabilities make research with human cells challenging. For the purpose of selecting hMb with adequate proliferation and differentiation properties, the influence of various patient related factors, including age, gender, BMI, anatomical sampling site and previous radio-/chemotherapy on hMb behavior was investigated in this study. Immunofluorescence staining and proliferation periods were analysed for proliferation capacity, while creatine kinase and cell viability assay, immunofluorescence staining and PCR were used to determine differentiation capacity. Using desmin expression, a multiple linear regression (MLR) model was established based on the above-mentioned patient related factors. Higher age and BMI, female gender and chemotherapy had a negative impact on desmin expression. Muscle type specific differences could also be seen. Previous radiotherapy led to senescence of hMb in large parts. Differentiation was mainly influenced by gender in a time-dependent manner, as well as by the anatomical collecting site. We were able to demonstrate the importance of analyzing patient characteristics for the purpose of hMb isolation. Using MLR, these patient characteristics can be used to predict the proliferation capacity of hMb as a step further towards translational application of skeletal muscle engineering and regeneration.

The online version contains supplementary material available at 10.1038/s41598-025-96108-1.

## Linked entities

- **Proteins:** LOC101066771 (desmin-like)

## Full-text entities

- **Genes:** DES (desmin) [NCBI Gene 1674] {aka CDCD3, CSM1, CSM2, LGMD1D, LGMD1E, LGMD2R}
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11972305/full.md

## References

6 references — full list in the complete paper: https://tomesphere.com/paper/PMC11972305/full.md

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Source: https://tomesphere.com/paper/PMC11972305