Labusca L, Zugun-Eloae F. Understanding host-graft crosstalk for predicting the outcome of stem cell transplantation. World J Stem Cells 2024; 16(3): 232-236 [PMID: 38577233 DOI: 10.4252/wjsc.v16.i3.232]
Corresponding Author of This Article
Luminita Labusca, MD, PhD, Senior Scientist, Magnetic Materials and Sensors, National Institute of Research and Development for Technical Physics, Boulevard Dimitrie Mangeron 47, Iasi 700050, Romania. drlluminita@yahoo.com
Research Domain of This Article
Transplantation
Article-Type of This Article
Editorial
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Stem Cells. Mar 26, 2024; 16(3): 232-236 Published online Mar 26, 2024. doi: 10.4252/wjsc.v16.i3.232
Understanding host-graft crosstalk for predicting the outcome of stem cell transplantation
Luminita Labusca, Florin Zugun-Eloae
Luminita Labusca, Magnetic Materials and Sensors, National Institute of Research and Development for Technical Physics, Iasi 700050, Romania
Luminita Labusca, Orthopedics and Trauma, Emergency County Hospital Saint Spiridon, Iasi 700000, Romania
Florin Zugun-Eloae, Transcend, Regional Oncology Institute, Iasi 7000000, Romania
Author contributions: Labusca L and Zugun-Eloae F contributed to this paper, and the writing and editing of the manuscript; Labusca L designed the overall concept and outline of the manuscript; Zugun-Eloae F contributed to the discussion and design of the manuscript.
Supported bythe Romanian Ministry of Research, Innovation and Digitization, CNCS/CCCDI-UEFISCDI, project number ERANET-EURONANOMED-3-OASIs, within PNCDI III (contract number 273/2022).
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Luminita Labusca, MD, PhD, Senior Scientist, Magnetic Materials and Sensors, National Institute of Research and Development for Technical Physics, Boulevard Dimitrie Mangeron 47, Iasi 700050, Romania. drlluminita@yahoo.com
Received: December 22, 2023 Peer-review started: December 22, 2023 First decision: January 11, 2024 Revised: January 14, 2024 Accepted: February 18, 2024 Article in press: February 18, 2024 Published online: March 26, 2024
Abstract
Mesenchymal stromal cells (MSCs) hold great promise for tissue regeneration in debilitating disorders. Despite reported improvements, the short-term outcomes of MSC transplantation, which is possibly linked to poor cell survival, demand extensive investigation. Disease-associated stress microenvironments further complicate outcomes. This debate underscores the need for a deeper understanding of the phenotypes of transplanted MSCs and their environment-induced fluctuations. Additionally, questions arise about how to predict, track, and comprehend cell fate post-transplantation. In vivo cellular imaging has emerged as a critical requirement for both short- and long-term safety and efficacy studies. However, translating preclinical imaging methods to clinical settings remains challenging. The fate and function of transplanted cells within the host environment present intricate challenges, including MSC engraftment, variability, and inconsistencies between preclinical and clinical data. The study explored the impact of high glucose concentrations on MSC survival in diabetic environments, emphasizing mitochondrial factors. Preserving these factors may enhance MSC survival, suggesting potential strategies involving genetic modification, biomaterials, and nanoparticles. Understanding stressors in diabetic patients is crucial for predicting the effects of MSC-based therapies. These multifaceted challenges call for a holistic approach involving the incorporation of large-scale data, computational disease modeling, and possibly artificial intelligence to enable deterministic insights.
Core Tip: Deterministic methods for modeling stem cell–host interactions are needed to ensure the safety and efficacy of stem cell-based therapies. This requires an in-depth understanding of the mechanism of action of the transplanted cells for each and every host condition(s) and asks for the establishment of adequate methods to predict, follow-up and determine the safety profile of the respective therapies.
