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Fundamental and Practical Perspectives in Regenerative Medicine: Proceedings of the VI National Congress of Regenerative Medicine (2024)

Special Issue Editors


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Guest Editor
1 Institute for Regenerative Medicine, Medical Research and Education Center, Lomonosov Moscow State University, 27/10, Lomonosovsky Ave., 119192 Moscow, Russia
2 Faculty of Medicine, Lomonosov Moscow State University, 27/1, Lomonosovsky Ave., 119192 Moscow, Russia
Interests: regenerative medicine elaboration and implementation of new standards for cell technology applications; biomedical cell and gene therapy product manufacturing, to tissue renewal, vascular growth stimulation and regeneration; stem cell biology, gene therapy and regenerative medicine
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Guest Editor
Institute for Regenerative Medicine, Medical Research and Education Centre, Lomonosov Moscow State University, Moscow 119192, Russia
Interests: regenerative medicine; adult stem cells; cell sheets; tissue engineering; mesenchymal stromal/stem cells
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Advances in regenerative medicine are strongly associated with a multifaceted community of scientists from the fields of medicine, biology, chemistry, physics and other disciplines that explore the nature of the human body’s remarkable ability to support its structure and recover from injury and disease.

This Special Issue aims to collate an innovative selection of cutting-edge reviews and original papers from leading specialists with a special focus on proceedings of the VI National congress of Regenerative Medicine that will be hosted by Moscow University in November 2024. We invite keynote speakers and participants to provide reviews and original articles with a focus on topics including, but not limited to:

  • Breakthroughs in our understanding of human body cellular renewal and regeneration after injury;
  • Novel gene, cell therapies and tissue engineering methods to treat human disease (proof-of-concept, pre-clinical and clinical data);
  • New mechanisms and pathways that regulate responses to injury, healing and its outcomes (e.g., balance of fibrosis and regeneration);
  • Challenges and prospects in the translational aspects of regenerative medicine (including disease models, manufacture and regulatory issues)

For review papers, please provide a preliminary abstract and title prior to submission.

We grant priority to Congress keynote and invited speakers but shall consider innovative submissions that fit the scope of the Special Issue:

Prof. Dr. Vsevolod A. Tkachuk
Dr. Pavel Makarevich
Guest Editors

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Molecular Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

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Keywords

  • regenerative medicine
  • stem cell
  • gene therapy
  • cell therapy
  • tissue engineering

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Related Special Issue

Published Papers (2 papers)

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Research

13 pages, 2648 KiB  
Article
Comparative Study of Deep Transfer Learning Models for Semantic Segmentation of Human Mesenchymal Stem Cell Micrographs
by Maksim Solopov, Elizaveta Chechekhina, Anna Kavelina, Gulnara Akopian, Viktor Turchin, Andrey Popandopulo, Dmitry Filimonov and Roman Ishchenko
Int. J. Mol. Sci. 2025, 26(5), 2338; https://doi.org/10.3390/ijms26052338 - 6 Mar 2025
Viewed by 762
Abstract
The aim of this study is to conduct a comparative assessment of the effectiveness of neural network models—U-Net, DeepLabV3+, SegNet and Mask R-CNN—for the semantic segmentation of micrographs of human mesenchymal stem cells (MSCs). A dataset of 320 cell micrographs annotated by cell [...] Read more.
The aim of this study is to conduct a comparative assessment of the effectiveness of neural network models—U-Net, DeepLabV3+, SegNet and Mask R-CNN—for the semantic segmentation of micrographs of human mesenchymal stem cells (MSCs). A dataset of 320 cell micrographs annotated by cell biology experts was created. The models were trained using a transfer learning method based on ImageNet pre-trained weights. As a result, the U-Net model demonstrated the best segmentation accuracy according to the metrics of the Dice coefficient (0.876) and the Jaccard index (0.781). The DeepLabV3+ and Mask R-CNN models also showed high performance, although slightly lower than U-Net, while SegNet exhibited the least accurate results. The obtained data indicate that the U-Net model is the most suitable for automating the segmentation of MSC micrographs and can be recommended for use in biomedical laboratories to streamline the routine analysis of cell cultures. Full article
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32 pages, 29372 KiB  
Article
Transcriptome-Wide Insights: Neonatal Lactose Intolerance Promotes Telomere Damage, Senescence, and Cardiomyopathy in Adult Rat Heart
by Olga V. Anatskaya, Sergei V. Ponomartsev, Artem U. Elmuratov and Alexander E. Vinogradov
Int. J. Mol. Sci. 2025, 26(4), 1584; https://doi.org/10.3390/ijms26041584 - 13 Feb 2025
Viewed by 3422
Abstract
Cardiovascular diseases (CVD) are the primary cause of mortality globally. A significant aspect of CVD involves their association with aging and susceptibility to neonatal programming. These factors suggest that adverse conditions during neonatal development can disrupt cardiomyocyte differentiation, thereby leading to heart dysfunction. [...] Read more.
Cardiovascular diseases (CVD) are the primary cause of mortality globally. A significant aspect of CVD involves their association with aging and susceptibility to neonatal programming. These factors suggest that adverse conditions during neonatal development can disrupt cardiomyocyte differentiation, thereby leading to heart dysfunction. This study focuses on the long-term effects of inflammatory and oxidative stress due to neonatal lactose intolerance (NLI) on cardiomyocyte transcriptome and phenotype. Our recent bioinformatic study focused on toggle genes indicated that NLI correlates with the switch off of some genes in thyroid hormone, calcium, and antioxidant signaling pathways, alongside the switch-on/off genes involved in DNA damage response and inflammation. In the presented study, we evaluated cardiomyocyte ploidy in different regions of the left ventricle (LV), complemented by a transcriptomic analysis of genes with quantitative (gradual) difference in expression. Cytophotometric and morphologic analyses of LV cardiomyocytes identified hyperpolyploidy and bridges between nuclei suggesting telomere fusion. Transcriptomic profiling highlighted telomere damage, aging, and chromatin decompaction, along with the suppression of pathways governing muscle contraction and energy metabolism. Echocardiography revealed statistically significant LV dilation and a decrease in ejection fraction. The estimation of survival rates indicated that NLI shortened the median lifespan by approximately 18% (p < 0.0001) compared with the control. Altogether, these findings suggest that NLI may increase susceptibility to cardiovascular diseases by accelerating aging due to oxidative stress and increased telomere DNA damage, leading to hyperpolyploidization and reduced cardiac contractile function. Collectively, our data emphasize the importance of the early identification and management of neonatal inflammatory and metabolic stressors, such as NLI, to mitigate long-term cardiovascular risks. Full article
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