The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Exosomes in bodily fluids are a highly stable resource of disease biomarkers
Open accessAbstract
Biomarkers are measurable indicators of a biological state. As our understanding of diseases meliorates, it is generally accepted that early diagnosis renders the best chance to cure a disease. In the context of proteomics, the discovery phase of identifying bonafide biomarkers and the ensuing validation phase involving large cohort of patient samples are impeded by the complexity of bodily fluid samples. High abundant proteins found in blood plasma make it difficult for the detection of low abundant proteins that may be potential biomarkers. Extracellular vesicles (EVs) have reignited interest in the field of biomarker discovery. EVs contain a tissue‐type signature wherein a rich cargo of proteins and RNA are selectively packaged. In addition, as EVs are membranous structures, the luminal contents are protected from degradation by extracellular proteases and are highly stable in storage conditions. Interestingly, an appealing feature of EV‐based biomarker analysis is the significant reduction in the sample complexity compared to whole bodily fluids. With these prescribed attributes, which are the rate‐limiting factors of traditional biomarker analysis, there is immense potential for the use of EVs for biomarker detection in clinical settings. This review will discuss the current issues with biomarker analysis and the potential use of EVs as reservoirs of disease biomarkers.
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“Biomarkers are tissues and/or bodily fluid-based measurable indicators of a biological condition [1, 2].”
BackgroundVesiclepedia: A Compendium for Extracellular Vesicles with Continuous Community Annotation
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Cited by
Extracellular Vesicles in Cancer: Cell-to-Cell Mediators of Metastasis
Becker, A., Thakur, B. K., Weiss, J. M., Kim, H. S., Peinado, H., & Lyden, D. (2016) · Cancer Cell · doi:10.1016/j.ccell.2016.10.009 · Cited by 2,003
ExoCarta: A Web-Based Compendium of Exosomal Cargo
Keerthikumar, S., Chisanga, D., Ariyaratne, D., Al Saffar, H., Anand, S., Zhao, K., Samuel, M., Pathan, M., Jois, M., Chilamkurti, N., et al. (2016) · Journal of Molecular Biology · doi:10.1016/j.jmb.2015.09.019 · Cited by 1,452
Self-citationClinical applications of stem cell-derived exosomes
Tan, F., Li, X., Wang, Z., Li, J., Shahzad, K., & Zheng, J. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01704-0 · Cited by 708
Gámez-Valero, A., Monguió-Tortajada, M., Carreras-Planella, L., Franquesa, M., Beyer, K., & Borràs, F. E. (2016) · Scientific Reports · doi:10.1038/srep33641 · Cited by 594
Ticket to a bubble ride: Cargo sorting into exosomes and extracellular vesicles
Anand, S., Samuel, M., Kumar, S., & Mathivanan, S. (2019) · Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics · doi:10.1016/j.bbapap.2019.02.005 · Cited by 284
Metadata
- Authors
- Boukouris, S., & Mathivanan, S.
- Venue
- PROTEOMICS – Clinical Applications
- Publisher
- Wiley
- Published
- 2015-03-19
- Volume
- 9
- Issue
- 3-4
- Pages
- 358-367
- ISSN
- 1862-8346 (ISSN-L)
- 1862-8354
- OpenAlex
- W2171000684
- Cited by
- 586
- References
- 6
- FWCI
- 12.09
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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