A systematic review of mesenchymal stem cell secretome: Functional annotations, gene clusters and proteomics analyses for bone formation

Bone. 2025 Jan:190:117269. doi: 10.1016/j.bone.2024.117269. Epub 2024 Oct 4.

Abstract

The regenerative capacity of mesenchymal stem cells (MSCs) is now attributed to their ability to release paracrine factors into the extracellular matrix that boost tissue regeneration, reduce inflammation and encourage healing. Understanding the MSC secretome is crucial for shifting the prototypic conventional cell-based therapies to cell-free regenerative treatments. This systematic review aimed to analyse the functional annotations of the secretome of human adult adipose tissue and bone marrow MSCs and unveil the gene clusters responsible for bone formation. Bioinformatics tools were used to identify the biological processes, molecular functions, hallmarks and KEGG pathways of adipose and bone marrow MSC secretome proteins. We found a substantial overlap in the functional annotations and protein compositions of both adipose and bone marrow MSC secretome indicating that MSC source may be noninfluencial with regards to tissue regeneration. Additionally, a novel network pharmacology-based analysis of the secreted proteins revealed that the commonly secreted proteins within a single source interact with multiple drugable targets of bone diseases and regulate various KEGG pathway. This study unravels the secretome profile of human adult adipose and bone marrow MSCs based on the current literature and provides valuable insights into the therapeutic use of the MSC secretome for cell-free therapies.

Keywords: Adipose tissue; Bone marrow; Functional response; Mesenchymal stem cells; Secretome.

Publication types

  • Systematic Review
  • Review

MeSH terms

  • Adipose Tissue / cytology
  • Adipose Tissue / metabolism
  • Humans
  • Mesenchymal Stem Cells* / cytology
  • Mesenchymal Stem Cells* / metabolism
  • Multigene Family
  • Osteogenesis* / genetics
  • Osteogenesis* / physiology
  • Proteomics* / methods
  • Secretome* / metabolism