ReviewFrontiers in pharmacology2023
Functional enhancement strategies to potentiate the therapeutic properties of mesenchymal stromal cells for respiratory diseases.
Review in Frontiers in pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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.
The trial behind it
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Who cites it
10 citing papers in PubMed, 16 citations in OpenAlex.
- Review
- An integrated single-cell and spatial proteotranscriptomics atlas of fibroblast-driven immunoregulation within the human adult oral cavity.Cell press blue · 2026Article
- Advances in enhanced mesenchymal stem cell technologies: innovations and therapeutic applications.Frontiers in cell and developmental biology · 2026Review
- Advanced nanotherapies for precision treatment of inflammatory lung diseases.Bioactive materials · 2025Review
- Extracellular Vesicles: Multimodal Tools for Diagnosis, Prognosis, and Therapy in Respiratory Diseases.Expert reviews in molecular medicine · 2025Review
- Microvesicles derived from mesenchymal stem cells: A promising therapeutic strategy for acute respiratory distress syndrome-related pulmonary fibrosis?World journal of stem cells · 2025Article
- Human Adipose Tissue-Derived Stromal Cells Ameliorate Adriamycin-Induced Nephropathy by Promoting Angiogenesis.Organogenesis · 2024Article
- Translational potential of mesenchymal stem cells in regenerative therapies for human diseases: challenges and opportunities.Stem cell research & therapy · 2024Review
- The MSC-EV-microRNAome: A Perspective on Therapeutic Mechanisms of Action in Sepsis and ARDS.Cells · 2024Review
- Asthma Phenotypes in the Era of Personalized Medicine.Journal of clinical medicine · 2023Review
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Respiratory diseases remain a major health concern worldwide because they subject patients to considerable financial and psychosocial burdens and result in a high rate of morbidity and mortality. Although significant progress has been made in understanding the underlying pathologic mechanisms of severe respiratory diseases, most therapies are supportive, aiming to mitigate symptoms and slow down their progressive course but cannot improve lung function or reverse tissue remodeling. Mesenchymal stromal cells (MSCs) are at the forefront of the regenerative medicine field due to their unique biomedical potential in promoting immunomodulation, anti-inflammatory, anti-apoptotic and antimicrobial activities, and tissue repair in various experimental models. However, despite several years of preclinical research on MSCs, therapeutic outcomes have fallen far short in early-stage clinical trials for respiratory diseases. This limited efficacy has been associated with several factors, such as reduced MSC homing, survival, and infusion in the late course of lung disease. Accordingly, genetic engineering and preconditioning methods have emerged as functional enhancement strategies to potentiate the therapeutic actions of MSCs and thus achieve better clinical outcomes. This narrative review describes various strategies that have been investigated in the experimental setting to functionally potentiate the therapeutic properties of MSCs for respiratory diseases. These include changes in culture conditions, exposure of MSCs to inflammatory environments, pharmacological agents or other substances, and genetic manipulation for enhanced and sustained expression of genes of interest. Future directions and challenges in efficiently translating MSC research into clinical practice are discussed.
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Registered trials
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.