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Nawaz, M., Tangruksa, B., Heydarkhan-Hagvall, S., Kohl, F., Garibotti, H. G., Jing, Y., . . . Valadi, H. (2026). Targeted Delivery of mRNA to the Heart via Extracellular Vesicles or Lipid Nanoparticles. Journal of Extracellular Vesicles, 15(6), Article ID e70324.
Open this publication in new window or tab >>Targeted Delivery of mRNA to the Heart via Extracellular Vesicles or Lipid Nanoparticles
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2026 (English)In: Journal of Extracellular Vesicles, E-ISSN 2001-3078, Vol. 15, no 6, article id e70324Article in journal (Refereed) Published
Abstract [en]

Efficient and specific delivery of mRNA to target tissues is critical for maximising therapeutic benefits while minimising off-target effects and systemic toxicity. Systemic administration of mRNA using lipid nanoparticles (LNPs) or extracellular vesicles (EVs) typically leads to predominant accumulation in the liver. We hypothesised that cardiac-specific EVs could promote enhanced relative cardiac enrichment of delivered mRNA compared with non-cardiac EVs or LNPs. In mice, intravenous administration of cardiac progenitor cell-derived EVs (CPC-EVs) achieved the greatest relative cardiac selectivity of modified mRNA encoding vascular endothelial growth factor A (VEGF-A) to the heart, with reduced liver accumulation relative to non-cardiac EVs and LNPs. Cytokine profiling across seven organs revealed that LNP delivery triggered a widespread pro-inflammatory response, whereas CPC-EVs elicited only a localised and limited cytokine activation, suggesting a more favourable safety profile. Furthermore, direct intramyocardial injection of CPC-EVs not only led to efficient mRNA uptake by cardiac tissue and robust VEGF-A protein expression, but also minimal transcriptomic perturbation in the cardiac tissue, as confirmed by RNA-seq. In contrast, LNPs and non-cardiac EVs induced widespread perturbation in the transcriptome of cardiac tissue. Functionally, VEGF-A mRNA delivery via CPC-EVs markedly increased CD31 and α-SMA expression and vessel formation in ex vivo aortic ring assays, confirming enhanced angiogenic potential. Together, these findings support CPC-EVs as a promising platform for achieving enhanced cardiac delivery of mRNA, with reduced liver accumulation, limited off-target transcriptomic perturbation, a more selective cytokine response, and enhanced angiogenic activity in ex vivo assays.

Place, publisher, year, edition, pages
John Wiley & Sons, 2026
Keywords
extracellular vesicles, lipid nanoparticles, systemic administration, targeted mRNA delivery, VEGF-A
National Category
Cardiology and Cardiovascular Disease Medical Biotechnology (Focus on Cell Biology, (incl. Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy)
Research subject
Bioinformatics
Identifiers
urn:nbn:se:his:diva-26467 (URN)10.1002/jev2.70324 (DOI)001790199700001 ()42275464 (PubMedID)2-s2.0-105041573605 (Scopus ID)
Funder
Science for Life Laboratory, SciLifeLabSwedish Research Council, 2020‐01316Swedish Foundation for Strategic Research, IRC15-0065Vinnova, 2017–02960Knowledge Foundation, 20200014Swedish National Infrastructure for Computing (SNIC)EU, Horizon 2020, Skłodowska Curie grant agreement No 814316
Note

CC BY 4.0

Correspondence: Hadi Valadi (hadi.valadi@gu.se)

This work has been supported by grants from the Swedish Research Council (VR, Grant ID: 2020-01316), the Swedish Foundation of Strategic Research (SSF) in the Industrial Research Centre (FoRmulaEx—Nucleotide Functional Drug Delivery (IRC15-0065), the Swedish governmental agency for innovation systems (VINNOVA, 2017–02960), the Swedish Knowledge Foundation (20200014), the National Genomics Infrastructure in Stockholm funded by Science for Life (SciLife) Laboratory, and SNIC/Uppsala Multidisciplinary Center for Advanced Computational Science for assistance with massively parallel sequencing and access to the UPPMAX computational infrastructure, and the funding received by F.K. from the European Union’s Horizon 2020 research and innovation program under the Skłodowska Curie grant agreement No 814316. Moreover, we acknowledge Mr. Mario Soriano Navarro at the Responsable Servicio Microscopía Electrónica, Valencia, Spain, for technical assistance.

Available from: 2026-06-12 Created: 2026-06-12 Last updated: 2026-07-13Bibliographically approved
Payandeh, Z., Tangruksa, B., Synnergren, J., Heydarkhan-Hagvall, S., Nordin, J. Z., Andaloussi, S. E., . . . Valadi, H. (2024). Extracellular vesicles transport RNA between cells: Unraveling their dual role in diagnostics and therapeutics. Molecular Aspects of Medicine, 99, Article ID 101302.
Open this publication in new window or tab >>Extracellular vesicles transport RNA between cells: Unraveling their dual role in diagnostics and therapeutics
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2024 (English)In: Molecular Aspects of Medicine, ISSN 0098-2997, E-ISSN 1872-9452, Vol. 99, article id 101302Article, review/survey (Refereed) Published
Abstract [en]

Modern methods of molecular diagnostics and therapy have revolutionized the field of medicine in recent years by providing more precise and effective tools for detecting and treating diseases. This progress includes a growing exploration of the body's secreted vesicles, known as extracellular vesicles (EVs), for both diagnostic and therapeutic purposes. EVs are a heterogeneous population of lipid bilayer vesicles secreted by almost every cell type studied so far. They are detected in body fluids and conditioned culture media from living cells. EVs play a crucial role in communication between cells and organs, both locally and over long distances. They are recognized for their ability to transport endogenous RNA and proteins between cells, including messenger RNA (mRNA), microRNA (miRNA), misfolded neurodegenerative proteins, and several other biomolecules. This review explores the dual utilization of EVs, serving not only for diagnostic purposes but also as a platform for delivering therapeutic molecules to cells and tissues. Through an exploration of their composition, biogenesis, and selective cargo packaging, we elucidate the intricate mechanisms behind RNA transport between cells via EVs, highlighting their potential use for both diagnostic and therapeutic applications. Finally, it addresses challenges and outlines prospective directions for the clinical utilization of EVs.

Place, publisher, year, edition, pages
Elsevier, 2024
Keywords
Biomarkers, Clinical challenges, EVs, Extracellular vesicles, RNA-Based diagnosis, RNA-Based therapeutics, Surface modification, Targeted drug delivery
National Category
Cell and Molecular Biology
Research subject
Bioinformatics
Identifiers
urn:nbn:se:his:diva-24421 (URN)10.1016/j.mam.2024.101302 (DOI)001287351500001 ()39094449 (PubMedID)2-s2.0-85200110641 (Scopus ID)
Funder
Swedish Foundation for Strategic Research, IRC15-0065Swedish Research Council, 2020-01316Knowledge Foundation, 2020-0014
Note

CC BY 4.0

Corresponding author: Hadi Valadi

E-mail address: hadi.valadi@gu.se (H. Valadi).

This work has been supported by grants from the Swedish Foundation of Strategic Research (Stiftelsen för strategisk forskning: SSF) in the Industrial Research Centre, FoRmulaEx – Nucleotide Functional Drug Delivery (Grant ID: IRC15-0065), the Swedish research council (VR, Grant ID: 2020-01316), and The Swedish Knowledge Foundation (KKS, Grant ID: 2020-0014).

Available from: 2024-08-09 Created: 2024-08-09 Last updated: 2025-09-29Bibliographically approved
González-King, H., Rodrigues, P. G., Albery, T., Tangruksa, B., Gurrapu, R., Silva, A. M., . . . Jennbacken, K. (2024). Head-to-head comparison of relevant cell sources of small extracellular vesicles for cardiac repair: Superiority of embryonic stem cells. Journal of Extracellular Vesicles, 13(5), Article ID e12445.
Open this publication in new window or tab >>Head-to-head comparison of relevant cell sources of small extracellular vesicles for cardiac repair: Superiority of embryonic stem cells
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2024 (English)In: Journal of Extracellular Vesicles, E-ISSN 2001-3078, Vol. 13, no 5, article id e12445Article in journal (Refereed) Published
Abstract [en]

Small extracellular vesicles (sEV) derived from various cell sources have been demonstrated to enhance cardiac function in preclinical models of myocardial infarction (MI). The aim of this study was to compare different sources of sEV for cardiac repair and determine the most effective one, which nowadays remains limited. We comprehensively assessed the efficacy of sEV obtained from human primary bone marrow mesenchymal stromal cells (BM-MSC), human immortalized MSC (hTERT-MSC), human embryonic stem cells (ESC), ESC-derived cardiac progenitor cells (CPC), human ESC-derived cardiomyocytes (CM), and human primary ventricular cardiac fibroblasts (VCF), in in vitro models of cardiac repair. ESC-derived sEV (ESC-sEV) exhibited the best pro-angiogenic and anti-fibrotic effects in vitro. Then, we evaluated the functionality of the sEV with the most promising performances in vitro, in a murine model of MI-reperfusion injury (IRI) and analysed their RNA and protein compositions. In vivo, ESC-sEV provided the most favourable outcome after MI by reducing adverse cardiac remodelling through down-regulating fibrosis and increasing angiogenesis. Furthermore, transcriptomic, and proteomic characterizations of sEV derived from hTERT-MSC, ESC, and CPC revealed factors in ESC-sEV that potentially drove the observed functions. In conclusion, ESC-sEV holds great promise as a cell-free treatment for promoting cardiac repair following MI. 

Place, publisher, year, edition, pages
John Wiley & Sons, 2024
Keywords
angiogenesis, fibrosis, immunomodulation, myocardial ischaemia-reperfusion injury, regeneration, small extracellular vesicles, adverse outcome, antifibrotic activity, Article, BMSC cell line, cardiac muscle cell, cardiac stem cell, cell function, cell therapy, clinical effectiveness, controlled study, down regulation, exosome, fibroblast, heart surgery, human, human cell, human embryonic stem cell, immortalized cell line, in vitro study, in vivo study, myocardial ischemia reperfusion injury, outcome assessment, protein content, proteomics, RNA analysis, transcriptomics
National Category
Cell and Molecular Biology Cardiology and Cardiovascular Disease
Research subject
Bioinformatics
Identifiers
urn:nbn:se:his:diva-23844 (URN)10.1002/jev2.12445 (DOI)001214661200001 ()38711334 (PubMedID)2-s2.0-85192214646 (Scopus ID)
Funder
Knowledge Foundation, 20200014
Note

CC BY 4.0 DEED

© 2024 AstraZeneca R&D and The Authors. Journal of Extracellular Vesicles published by Wiley Periodicals LLC on behalf of International Society for Extracellular Vesicles.

Correspondence Address: H. González-King; Research and Early Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Mölndal, Sweden; email: hernan.gonzalez-king@astrazeneca.com; K. Jennbacken; Research and Early Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Mölndal, Sweden; email: Karin.jennbacken@astrazeneca.com

Funding information: Högskolan i Skövde, Grant/Award Number: grant# 20200014

The authors of this manuscript acknowledge AstraZeneca early CVRM Cardiovascular for their resource management, to John Liddle and Stefan Geschwindner from AstraZeneca postdoc committee for their advice, to AstraZeneca Animal Sciences & Technologies staff for their in vivo support, to Märta Jansson for performing the flow cytometric characterization of cardiac progenitor cells and to Elisa Lázaro and Olga Shatnyeva from the exosome team in AstraZeneca for input and facilitating a smooth introduction to AstraZeneca’s exosome research, to the National Genomics Infrastructure in Stockholm funded by Science for Life Laboratory, the Knut and Alice Wallenberg Foundation and the Swedish Research Council, and SNIC/Uppsala Multidisciplinary Center for Advanced Computational Science for assistance with massively parallel sequencing and access to the UPPMAX computational infrastructure. We also thank M. Soriano at the core facility of electron microscopy-Centro de Investigación Príncipe Felipe. This manuscript was edited at Life Science Editors. This work was supported by the University of Skövde under grants from the Swedish Knowledge foundation [grant # 20200014].

Available from: 2024-05-16 Created: 2024-05-16 Last updated: 2025-09-29Bibliographically approved
Nawaz, M., Heydarkhan-Hagvall, S., Tangruksa, B., González-King Garibotti, H., Jing, Y., Maugeri, M., . . . Valadi, H. (2023). Lipid Nanoparticles Deliver the Therapeutic VEGFA mRNA In Vitro and In Vivo and Transform Extracellular Vesicles for Their Functional Extensions. Advanced Science, 10(12), Article ID 2206187.
Open this publication in new window or tab >>Lipid Nanoparticles Deliver the Therapeutic VEGFA mRNA In Vitro and In Vivo and Transform Extracellular Vesicles for Their Functional Extensions
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2023 (English)In: Advanced Science, E-ISSN 2198-3844, Vol. 10, no 12, article id 2206187Article in journal (Refereed) Published
Abstract [en]

Lipid nanoparticles (LNPs) are currently used to transport functional mRNAs, such as COVID-19 mRNA vaccines. The delivery of angiogenic molecules, such as therapeutic VEGF-A mRNA, to ischemic tissues for producing new blood vessels is an emerging strategy for the treatment of cardiovascular diseases. Here, the authors deliver VEGF-A mRNA via LNPs and study stoichiometric quantification of their uptake kinetics and how the transport of exogenous LNP-mRNAs between cells is functionally extended by cells’ own vehicles called extracellular vesicles (EVs). The results show that cellular uptake of LNPs and their mRNA molecules occurs quickly, and that the translation of exogenously delivered mRNA begins immediately. Following the VEGF-A mRNA delivery to cells via LNPs, a fraction of internalized VEGF-A mRNA is secreted via EVs. The overexpressed VEGF-A mRNA is detected in EVs secreted from three different cell types. Additionally, RNA-Seq analysis reveals that as cells’ response to LNP-VEGF-A mRNA treatment, several overexpressed proangiogenic transcripts are packaged into EVs. EVs are further deployed to deliver VEGF-A mRNA in vitro and in vivo. Upon equal amount of VEGF-A mRNA delivery via three EV types or LNPs in vitro, EVs from cardiac progenitor cells are the most efficient in promoting angiogenesis per amount of VEGF-A protein produced. Intravenous administration of luciferase mRNA shows that EVs could distribute translatable mRNA to different organs with the highest amounts of luciferase detected in the liver. Direct injections of VEGF-A mRNA (via EVs or LNPs) into mice heart result in locally produced VEGF-A protein without spillover to liver and circulation. In addition, EVs from cardiac progenitor cells cause minimal production of inflammatory cytokines in cardiac tissue compared with all other treatment types. Collectively, the data demonstrate that LNPs transform EVs as functional extensions to distribute therapeutic mRNA between cells, where EVs deliver this mRNA differently than LNPs. 

Place, publisher, year, edition, pages
John Wiley & Sons, 2023
Keywords
Blood vessels, Cells, Cytology, Direct injection, Diseases, Heart, Mammals, Molecular biology, Molecules, Nanoparticles, Tissue, Copy number, Endocytose, Extracellular, Extracellular vesicle, In-vivo, Lipid nanoparticle-mRNA, Lipid nanoparticles, Luciferase mRNA, MRNA copy number, Uptake, VEGF-A mRNA, Proteins, endocytosis, extracellular vesicles, in vivo, LNP-mRNA
National Category
Cell Biology Biochemistry Molecular Biology
Research subject
Bioinformatics
Identifiers
urn:nbn:se:his:diva-22310 (URN)10.1002/advs.202206187 (DOI)000935087200001 ()36806740 (PubMedID)2-s2.0-85148415624 (Scopus ID)
Funder
Science for Life Laboratory, SciLifeLabKnut and Alice Wallenberg FoundationSwedish Research Council, 2020-01316Swedish Foundation for Strategic ResearchVinnova, 2017-02960Knowledge Foundation, 20160330
Note

CC BY 4.0

© 2023 The Authors. Advanced Science published by Wiley-VCH GmbH.

E-mail: hadi.valadi@gu.se

The authors acknowledge the support from the National Genomics Infrastructure in Stockholm funded by Science for Life (SciLife) Laboratory, the Knut and Alice Wallenberg Foundation and the Swedish Research Council, and SNIC/Uppsala Multidisciplinary Center for Advanced Computational Science for assistance with massively parallel sequencing and access to the UPPMAX computational infrastructure. Moreover, the authors acknowledge Mr. Mario Soriano Navarro at the Responsable Servicio Microscopía Electrónica, Valencia Spain, for technical assistance. This work was supported by grants from the Swedish Foundation of Strategic Research (Stiftelsen för strategisk forskning: SSF) in the Industrial Research Centre, FoRmulaEx - Nucleotide Functional Drug Delivery (Grant ID: IRC15-0065), the Swedish research council (VR, Grant ID: 2020-01316), and the Swedish governmental agency for innovation systems (VINNOVA, Grant ID: 2017-02960). This research was also funded by the Systems Biology Research Centre at the University of Skövde under grants from the Knowledge Foundation (Grant ID: 20160330).

Available from: 2023-03-02 Created: 2023-03-02 Last updated: 2025-09-29Bibliographically approved
Johansson, M., Tangruksa, B., Heydarkhan-Hagvall, S., Jeppsson, A., Sartipy, P. & Synnergren, J. (2022). Data Mining Identifies CCN2 and THBS1 as Biomarker Candidates for Cardiac Hypertrophy. Life, 12(5), Article ID 726.
Open this publication in new window or tab >>Data Mining Identifies CCN2 and THBS1 as Biomarker Candidates for Cardiac Hypertrophy
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2022 (English)In: Life, E-ISSN 2075-1729, Vol. 12, no 5, article id 726Article in journal (Refereed) Published
Abstract [en]

Cardiac hypertrophy is a condition that may contribute to the development of heart failure. In this study, we compare the gene-expression patterns of our in vitro stem-cell-based cardiac hypertrophy model with the gene expression of biopsies collected from hypertrophic human hearts. Twenty-five differentially expressed genes (DEGs) from both groups were identified and the expression of selected corresponding secreted proteins were validated using ELISA and Western blot. Several biomarkers, including CCN2, THBS1, NPPA, and NPPB, were identified, which showed significant overexpressions in the hypertrophic samples in both the cardiac biopsies and in the endothelin-1-treated cells, both at gene and protein levels. The protein-interaction network analysis revealed CCN2 as a central node among the 25 overlapping DEGs, suggesting that this gene might play an important role in the development of cardiac hypertrophy. GO-enrichment analysis of the 25 DEGs revealed many biological processes associated with cardiac function and the development of cardiac hypertrophy. In conclusion, we identified important similarities between ET-1-stimulated human-stem-cell-derived cardiomyocytes and human hypertrophic cardiac tissue. Novel putative cardiac hypertrophy biomarkers were identified and validated on the protein level, lending support for further investigations to assess their potential for future clinical applications. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

Place, publisher, year, edition, pages
MDPI, 2022
Keywords
biomarker, cardiac hypertrophy, disease model, endothelin-1, stem cells, transcriptomics
National Category
Cell and Molecular Biology Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy) Bioinformatics and Computational Biology
Research subject
Bioinformatics
Identifiers
urn:nbn:se:his:diva-21200 (URN)10.3390/life12050726 (DOI)000802500000001 ()35629393 (PubMedID)2-s2.0-85130327246 (Scopus ID)
Funder
Knowledge Foundation, 20160294Knowledge Foundation, 20160330Knowledge Foundation, 20200014AstraZeneca
Note

CC BY 4.0

© 2022 by the authors. Licensee MDPI, Basel, Switzerland.

This research was funded by the Systems Biology Research Centre at the University of Skövde under grants from the Knowledge Foundation (20160294, 20160330, 20200014), Takara Bio Europe, Gothenburg, Sweden, and AstraZeneca R&D, Gothenburg.

Data Availability Statement: This study is based on two trancriptomics datasets, which are available for download at ArrayExpress (https://www.ebi.ac.uk/arrayexpress/, accessed on 4 April 2022) accession numbers: E-MTAB-11030 and E-MEXP-2296.

Acknowledgments :The graphical abstract was created with BioRender software. The networks and functional analyses were generated through the use of IPA (Qiagen Inc., https://www.qiagenbioinformatics.com/products/ingenuity-pathway-analysis, accessed on 1 March 2022)

Available from: 2022-06-02 Created: 2022-06-02 Last updated: 2025-09-29Bibliographically approved
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ORCID iD: ORCID iD iconorcid.org/0009-0002-5129-5374

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