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Rahat ST, Mäkelä M, Nasserinejad M, Ikäheimo TM, Hyrkäs-Palmu H, Valtonen RIP, Röning J, Sebert S, Nieminen AI, Ali N, Vainio S. Clinical-Grade Patches as a Medium for Enrichment of Sweat-Extracellular Vesicles and Facilitating Their Metabolic Analysis. Int J Mol Sci 2023; 24:ijms24087507. [PMID: 37108669 PMCID: PMC10139190 DOI: 10.3390/ijms24087507] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 04/03/2023] [Accepted: 04/11/2023] [Indexed: 04/29/2023] Open
Abstract
Cell-secreted extracellular vesicles (EVs), carrying components such as RNA, DNA, proteins, and metabolites, serve as candidates for developing non-invasive solutions for monitoring health and disease, owing to their capacity to cross various biological barriers and to become integrated into human sweat. However, the evidence for sweat-associated EVs providing clinically relevant information to use in disease diagnostics has not been reported. Developing cost-effective, easy, and reliable methodologies to investigate EVs' molecular load and composition in the sweat may help to validate their relevance in clinical diagnosis. We used clinical-grade dressing patches, with the aim being to accumulate, purify and characterize sweat EVs from healthy participants exposed to transient heat. The skin patch-based protocol described in this paper enables the enrichment of sweat EVs that express EV markers, such as CD63. A targeted metabolomics study of the sweat EVs identified 24 components. These are associated with amino acids, glutamate, glutathione, fatty acids, TCA, and glycolysis pathways. Furthermore, as a proof-of-concept, when comparing the metabolites' levels in sweat EVs isolated from healthy individuals with those of participants with Type 2 diabetes following heat exposure, our findings revealed that the metabolic patterns of sweat EVs may be linked with metabolic changes. Moreover, the concentration of these metabolites may reflect correlations with blood glucose and BMI. Together our data revealed that sweat EVs can be purified using routinely used clinical patches, setting the foundations for larger-scale clinical cohort work. Furthermore, the metabolites identified in sweat EVs also offer a realistic means to identify relevant disease biomarkers. This study thus provides a proof-of-concept towards a novel methodology that will focus on the use of the sweat EVs and their metabolites as a non-invasive approach, in order to monitor wellbeing and changes in diseases.
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Affiliation(s)
- Syeda Tayyiba Rahat
- Laboratory of Developmental Biology, Faculty of Biochemistry and Molecular Medicine, University of Oulu, 90220 Oulu, Finland
| | - Mira Mäkelä
- Laboratory of Developmental Biology, Faculty of Biochemistry and Molecular Medicine, University of Oulu, 90220 Oulu, Finland
| | - Maryam Nasserinejad
- Research Unit of Population Health Research, Faculty of Medicine, University of Oulu, 90570 Oulu, Finland
- Infotech Oulu, University of Oulu, 90014 Oulu, Finland
| | - Tiina M Ikäheimo
- Department of Community Medicine, University of Tromsø, N-9037 Tromsø, Norway
- Research Unit of Population Health, University of Oulu, 90220 Oulu, Finland
| | - Henna Hyrkäs-Palmu
- Research Unit of Population Health, University of Oulu, 90220 Oulu, Finland
| | - Rasmus I P Valtonen
- Research Unit of Biomedicine, Medical Research Center, Faculty of Medicine, University of Oulu, Oulu University Hospital, 90220 Oulu, Finland
| | - Juha Röning
- Infotech Oulu, University of Oulu, 90014 Oulu, Finland
- Biomimetics and Intelligent Systems Group, Faculty of Information Technology and Electrical Engineering, University of Oulu, 90570 Oulu, Finland
| | - Sylvain Sebert
- Research Unit of Population Health Research, Faculty of Medicine, University of Oulu, 90570 Oulu, Finland
- Infotech Oulu, University of Oulu, 90014 Oulu, Finland
| | - Anni I Nieminen
- FIMM Metabolomics Unit, Institute for Molecular Medicine Finland, University of Helsinki, 00014 Helsinki, Finland
| | - Nsrein Ali
- Laboratory of Developmental Biology, Faculty of Biochemistry and Molecular Medicine, University of Oulu, 90220 Oulu, Finland
- Infotech Oulu, University of Oulu, 90014 Oulu, Finland
- Flagship GeneCellNano, University of Oulu, 90220 Oulu, Finland
| | - Seppo Vainio
- Laboratory of Developmental Biology, Faculty of Biochemistry and Molecular Medicine, University of Oulu, 90220 Oulu, Finland
- Infotech Oulu, University of Oulu, 90014 Oulu, Finland
- Flagship GeneCellNano, University of Oulu, 90220 Oulu, Finland
- Kvantum Institute, University of Oulu, 90014 Oulu, Finland
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