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. 2024 Apr 4;22:149. doi: 10.1186/s12951-024-02410-x

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© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 5 — Proteomic analysis and functional enrichment of HA-iMSC-EV proteins. a Top 20 enriched pathways and process terms of HA-iMSC-EVs. The bar graph represents -log₁₀(p-value). b Clustering analysis of angiogenesis, cell cycle, and MAPK signal transduction. Pathways were clustered at a minimum overlap of 3, p = 0.01, and a minimum enrichment of 1.5. The colors of the nodes matched the colors of each pathway, as shown in (a). c Connectivity map analysis of HA-iMSC-EV proteins. The potential indications for HA-iMSC-EVs classified according to the ATP level 1 classification were implemented as a word cloud (left). The cardiovascular drugs with the highest connectivity scores to HA-iMSC-EVs are listed in Table (right)