Back

Extracellular Vesicle-Enriched Secretome from Mesenchymal Stromal Cells Protects Against Chemically, Particulate-, and Ischemia-Induced Innate-Immunity Induced Inflammation

Park, K.-s.; Ordouzadeh, N.; Lazzari, L.; Elia, N.; Scarpitta, S.; Iachini, M. C.; Bussolati, B.; Bruno, S.; Grange, C.; Ceccotti, E.; Prudente, D.; Cedrino, M.; Di Bucchianico, S.; Ryffel, B.; Quesniaux, V.; Togbe, D.; Huaux, F.; Wilmot, J.; Lallo, E.; Lotvall, J.; Dominici, M.

2026-04-13 cell biology
10.64898/2026.04.09.717380 bioRxiv
Show abstract

Mesenchymal stromal cells (MSCs) are multipotent cells with well-established regenerative and immunomodulatory properties, making them promising candidates for the treatment of inflammatory diseases. However, the therapeutic effects of MSCs are largely mediated by their secretome, particularly extracellular vesicles (EVs), which deliver bioactive molecules capable of modulating inflammatory responses. We generated an extracellular vesicle-enriched secretome (EVES) from MSCs under scalable, Good Manufacturing Practice (GMP)-compliant conditions and assessed its therapeutic efficacy in diverse disease models, including lung inflammation and kidney injury induced by distinct innate immune stimuli. EVES was isolated from the secretome of umbilical cord blood-derived MSCs cultured in a chemically defined medium. In vitro, EVES significantly and dose-dependently attenuated cytokine release from airway epithelial cells and macrophages stimulated with inflammatory agents such as lipopolysaccharide or reactive particles. In murine models of lung inflammation, EVES reduced neutrophil infiltration and suppressed multiple cytokines and chemokines in a dose-dependent manner. In models of kidney injury, EVES enhanced tubular epithelial cell proliferation, improved renal histology, and markedly reduced tubular necrosis following ischemia-reperfusion injury. Collectively, these findings demonstrate that MSC-derived EVES exhibits robust and broad-spectrum therapeutic activity across multiple disease contexts driven by innate immune activation, supporting its potential as a scalable, cell-free therapeutic platform.

Matching journals

The top 12 journals account for 50% of the predicted probability mass.

1
Advanced Science
249 papers in training set
Top 1%
10.4%
2
Cell Stem Cell
57 papers in training set
Top 0.2%
6.5%
3
Nature Communications
4913 papers in training set
Top 32%
5.0%
4
Cell Reports Medicine
140 papers in training set
Top 0.6%
5.0%
5
Biomaterials
78 papers in training set
Top 0.1%
4.1%
6
Journal of Extracellular Vesicles
50 papers in training set
Top 0.1%
3.8%
7
Stem Cell Research & Therapy
30 papers in training set
Top 0.1%
3.7%
8
Advanced Materials
53 papers in training set
Top 0.8%
2.8%
9
Advanced Functional Materials
41 papers in training set
Top 0.9%
2.7%
10
Journal of Extracellular Biology
18 papers in training set
Top 0.1%
2.7%
11
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 3%
2.4%
12
Advanced Healthcare Materials
71 papers in training set
Top 0.8%
2.1%
50% of probability mass above
13
Protein & Cell
25 papers in training set
Top 1%
1.8%
14
iScience
1063 papers in training set
Top 14%
1.7%
15
Scientific Reports
3102 papers in training set
Top 61%
1.5%
16
Cell Discovery
54 papers in training set
Top 3%
1.4%
17
Science Advances
1098 papers in training set
Top 22%
1.3%
18
Small Methods
26 papers in training set
Top 0.6%
1.3%
19
Stem Cells
28 papers in training set
Top 0.3%
1.3%
20
Nature Biomedical Engineering
42 papers in training set
Top 1%
1.0%
21
Molecular Therapy
71 papers in training set
Top 2%
0.9%
22
eLife
5422 papers in training set
Top 52%
0.9%
23
Theranostics
33 papers in training set
Top 1%
0.9%
24
Bioactive Materials
18 papers in training set
Top 0.7%
0.8%
25
Stem Cells Translational Medicine
11 papers in training set
Top 0.1%
0.8%
26
Cell Proliferation
12 papers in training set
Top 0.4%
0.8%
27
Circulation
66 papers in training set
Top 2%
0.8%
28
JCI Insight
241 papers in training set
Top 7%
0.8%
29
Cell Research
49 papers in training set
Top 2%
0.8%
30
Stem Cell Reports
118 papers in training set
Top 0.9%
0.8%