Analyzing the Clinical Potential of Stromal Vascular Fraction: A Comprehensive Literature Review.
Evgeniy Nikolaevich GoncharovOleg Aleksandrovich KovalEremin Ilya IgorevichManuel De Jesus Encarnación RamírezRenat NurmukhametovKotenko Konstantin ValentinovichNicola MontemurroPublished in: Medicina (Kaunas, Lithuania) (2024)
Background: Regenerative medicine is evolving with discoveries like the stromal vascular fraction (SVF), a diverse cell group from adipose tissue with therapeutic promise. Originating from fat cell metabolism studies in the 1960s, SVF's versatility was recognized after demonstrating multipotency. Comprising of cells like pericytes, smooth muscle cells, and, notably, adipose-derived stem cells (ADSCs), SVF offers tissue regeneration and repair through the differentiation and secretion of growth factors. Its therapeutic efficacy is due to these cells' synergistic action, prompting extensive research. Methods: This review analyzed the relevant literature on SVF, covering its composition, action mechanisms, clinical applications, and future directions. An extensive literature search from January 2018 to June 2023 was conducted across databases like PubMed, Embase, etc., using specific keywords. Results: The systematic literature search yielded a total of 473 articles. Sixteen articles met the inclusion criteria and were included in the review. This rigorous methodology provides a framework for a thorough and systematic analysis of the existing literature on SVF, offering robust insights into the potential of this important cell population in regenerative medicine. Conclusions: Our review reveals the potential of SVF, a heterogeneous cell mixture, as a powerful tool in regenerative medicine. SVF has demonstrated therapeutic efficacy and safety across disciplines, improving pain, tissue regeneration, graft survival, and wound healing while exhibiting immunomodulatory and anti-inflammatory properties.
Keyphrases
- adipose tissue
- systematic review
- single cell
- wound healing
- cell therapy
- stem cells
- induced apoptosis
- bone marrow
- type diabetes
- anti inflammatory
- machine learning
- case report
- chronic pain
- signaling pathway
- big data
- skeletal muscle
- pain management
- cell cycle arrest
- spinal cord injury
- climate change
- cell proliferation
- metabolic syndrome
- deep learning
- human health
- cancer therapy
- endoplasmic reticulum stress
- tyrosine kinase
- current status