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Küçük BN, Yilmaz EG, Aslan Y, Erdem Ö, Inci F. Shedding Light on Cellular Secrets: A Review of Advanced Optical Biosensing Techniques for Detecting Extracellular Vesicles with a Special Focus on Cancer Diagnosis. ACS APPLIED BIO MATERIALS 2024. [PMID: 39175406 DOI: 10.1021/acsabm.4c00782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/24/2024]
Abstract
In the relentless pursuit of innovative diagnostic tools for cancer, this review illuminates the cutting-edge realm of extracellular vesicles (EVs) and their biomolecular cargo detection through advanced optical biosensing techniques with a primary emphasis on their significance in cancer diagnosis. From the sophisticated domain of nanomaterials to the precision of surface plasmon resonance, we herein examine the diverse universe of optical biosensors, emphasizing their specified applications in cancer diagnosis. Exploring and understanding the details of EVs, we present innovative applications of enhancing and blending signals, going beyond the limits to sharpen our ability to sense and distinguish with greater sensitivity and specificity. Our special focus on cancer diagnosis underscores the transformative potential of optical biosensors in early detection and personalized medicine. This review aims to help guide researchers, clinicians, and enthusiasts into the captivating domain where light meets cellular secrets, creating innovative opportunities in cancer diagnostics.
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Affiliation(s)
- Beyza Nur Küçük
- UNAM─National Nanotechnology Research Center, Bilkent University, 06800 Ankara, Turkey
- Institute of Materials Science and Nanotechnology, Bilkent University, 06800 Ankara, Turkey
| | - Eylul Gulsen Yilmaz
- UNAM─National Nanotechnology Research Center, Bilkent University, 06800 Ankara, Turkey
- Institute of Materials Science and Nanotechnology, Bilkent University, 06800 Ankara, Turkey
| | - Yusuf Aslan
- UNAM─National Nanotechnology Research Center, Bilkent University, 06800 Ankara, Turkey
- Institute of Materials Science and Nanotechnology, Bilkent University, 06800 Ankara, Turkey
| | - Özgecan Erdem
- UNAM─National Nanotechnology Research Center, Bilkent University, 06800 Ankara, Turkey
| | - Fatih Inci
- UNAM─National Nanotechnology Research Center, Bilkent University, 06800 Ankara, Turkey
- Institute of Materials Science and Nanotechnology, Bilkent University, 06800 Ankara, Turkey
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Wang Z, Zhou X, Kong Q, He H, Sun J, Qiu W, Zhang L, Yang M. Extracellular Vesicle Preparation and Analysis: A State-of-the-Art Review. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2401069. [PMID: 38874129 PMCID: PMC11321646 DOI: 10.1002/advs.202401069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 04/11/2024] [Indexed: 06/15/2024]
Abstract
In recent decades, research on Extracellular Vesicles (EVs) has gained prominence in the life sciences due to their critical roles in both health and disease states, offering promising applications in disease diagnosis, drug delivery, and therapy. However, their inherent heterogeneity and complex origins pose significant challenges to their preparation, analysis, and subsequent clinical application. This review is structured to provide an overview of the biogenesis, composition, and various sources of EVs, thereby laying the groundwork for a detailed discussion of contemporary techniques for their preparation and analysis. Particular focus is given to state-of-the-art technologies that employ both microfluidic and non-microfluidic platforms for EV processing. Furthermore, this discourse extends into innovative approaches that incorporate artificial intelligence and cutting-edge electrochemical sensors, with a particular emphasis on single EV analysis. This review proposes current challenges and outlines prospective avenues for future research. The objective is to motivate researchers to innovate and expand methods for the preparation and analysis of EVs, fully unlocking their biomedical potential.
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Affiliation(s)
- Zesheng Wang
- Department of Precision Diagnostic and Therapeutic TechnologyCity University of Hong Kong Shenzhen Futian Research InstituteShenzhenGuangdong518000P. R. China
- Department of Biomedical Sciencesand Tung Biomedical Sciences CentreCity University of Hong KongHong Kong999077P. R. China
- Key Laboratory of Biochip TechnologyBiotech and Health CentreShenzhen Research Institute of City University of Hong KongShenzhen518057P. R. China
| | - Xiaoyu Zhou
- Department of Precision Diagnostic and Therapeutic TechnologyCity University of Hong Kong Shenzhen Futian Research InstituteShenzhenGuangdong518000P. R. China
- Department of Biomedical Sciencesand Tung Biomedical Sciences CentreCity University of Hong KongHong Kong999077P. R. China
- Key Laboratory of Biochip TechnologyBiotech and Health CentreShenzhen Research Institute of City University of Hong KongShenzhen518057P. R. China
| | - Qinglong Kong
- The Second Department of Thoracic SurgeryDalian Municipal Central HospitalDalian116033P. R. China
| | - Huimin He
- Department of Precision Diagnostic and Therapeutic TechnologyCity University of Hong Kong Shenzhen Futian Research InstituteShenzhenGuangdong518000P. R. China
- Department of Biomedical Sciencesand Tung Biomedical Sciences CentreCity University of Hong KongHong Kong999077P. R. China
- Key Laboratory of Biochip TechnologyBiotech and Health CentreShenzhen Research Institute of City University of Hong KongShenzhen518057P. R. China
| | - Jiayu Sun
- Department of Precision Diagnostic and Therapeutic TechnologyCity University of Hong Kong Shenzhen Futian Research InstituteShenzhenGuangdong518000P. R. China
- Department of Biomedical Sciencesand Tung Biomedical Sciences CentreCity University of Hong KongHong Kong999077P. R. China
| | - Wenting Qiu
- Department of Precision Diagnostic and Therapeutic TechnologyCity University of Hong Kong Shenzhen Futian Research InstituteShenzhenGuangdong518000P. R. China
- Department of Biomedical Sciencesand Tung Biomedical Sciences CentreCity University of Hong KongHong Kong999077P. R. China
| | - Liang Zhang
- Department of Precision Diagnostic and Therapeutic TechnologyCity University of Hong Kong Shenzhen Futian Research InstituteShenzhenGuangdong518000P. R. China
- Department of Biomedical Sciencesand Tung Biomedical Sciences CentreCity University of Hong KongHong Kong999077P. R. China
- Key Laboratory of Biochip TechnologyBiotech and Health CentreShenzhen Research Institute of City University of Hong KongShenzhen518057P. R. China
| | - Mengsu Yang
- Department of Precision Diagnostic and Therapeutic TechnologyCity University of Hong Kong Shenzhen Futian Research InstituteShenzhenGuangdong518000P. R. China
- Department of Biomedical Sciencesand Tung Biomedical Sciences CentreCity University of Hong KongHong Kong999077P. R. China
- Key Laboratory of Biochip TechnologyBiotech and Health CentreShenzhen Research Institute of City University of Hong KongShenzhen518057P. R. China
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Stollmann A, Garcia-Guirado J, Hong JS, Rüedi P, Im H, Lee H, Ortega Arroyo J, Quidant R. Molecular fingerprinting of biological nanoparticles with a label-free optofluidic platform. Nat Commun 2024; 15:4109. [PMID: 38750038 PMCID: PMC11096335 DOI: 10.1038/s41467-024-48132-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 04/22/2024] [Indexed: 05/18/2024] Open
Abstract
Label-free detection of multiple analytes in a high-throughput fashion has been one of the long-sought goals in biosensing applications. Yet, for all-optical approaches, interfacing state-of-the-art label-free techniques with microfluidics tools that can process small volumes of sample with high throughput, and with surface chemistry that grants analyte specificity, poses a critical challenge to date. Here, we introduce an optofluidic platform that brings together state-of-the-art digital holography with PDMS microfluidics by using supported lipid bilayers as a surface chemistry building block to integrate both technologies. Specifically, this platform fingerprints heterogeneous biological nanoparticle populations via a multiplexed label-free immunoaffinity assay with single particle sensitivity. First, we characterise the robustness and performance of the platform, and then apply it to profile four distinct ovarian cell-derived extracellular vesicle populations over a panel of surface protein biomarkers, thus developing a unique biomarker fingerprint for each cell line. We foresee that our approach will find many applications where routine and multiplexed characterisation of biological nanoparticles are required.
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Affiliation(s)
- Alexia Stollmann
- Nanophotonic Systems Laboratory, Department of Mechanical and Process Engineering, ETH Zurich, 8092, Zurich, Switzerland
| | - Jose Garcia-Guirado
- Nanophotonic Systems Laboratory, Department of Mechanical and Process Engineering, ETH Zurich, 8092, Zurich, Switzerland
| | - Jae-Sang Hong
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Pascal Rüedi
- Nanophotonic Systems Laboratory, Department of Mechanical and Process Engineering, ETH Zurich, 8092, Zurich, Switzerland
| | - Hyungsoon Im
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Hakho Lee
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Jaime Ortega Arroyo
- Nanophotonic Systems Laboratory, Department of Mechanical and Process Engineering, ETH Zurich, 8092, Zurich, Switzerland.
| | - Romain Quidant
- Nanophotonic Systems Laboratory, Department of Mechanical and Process Engineering, ETH Zurich, 8092, Zurich, Switzerland.
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Das S, Lyon CJ, Hu T. A Panorama of Extracellular Vesicle Applications: From Biomarker Detection to Therapeutics. ACS NANO 2024; 18:9784-9797. [PMID: 38471757 PMCID: PMC11008359 DOI: 10.1021/acsnano.4c00666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 03/04/2024] [Accepted: 03/08/2024] [Indexed: 03/14/2024]
Abstract
Extracellular vesicles (EVs) secreted by all cell types are involved in the cell-to-cell transfer of regulatory factors that influence cell and tissue phenotypes in normal and diseased tissues. EVs are thus a rich source of biomarker targets for assays that analyze blood and urinary EVs for disease diagnosis. Sensitive biomarker detection in EVs derived from specific cell populations is a key major hurdle when analyzing complex biological samples, but innovative approaches surveyed in this Perspective can streamline EV isolation and enhance the sensitivity of EV detection procedures required for clinical application of EV-based diagnostics and therapeutics, including nanotechnology and microfluidics, to achieve EV characterizations. Finally, this Perspective also outlines opportunities and challenges remaining for clinical translation of EV-based assays.
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Affiliation(s)
- Sumita Das
- Center for Cellular and Molecular Diagnostics
and Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, New Orleans, Louisiana 70112, United States
| | - Christopher J. Lyon
- Center for Cellular and Molecular Diagnostics
and Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, New Orleans, Louisiana 70112, United States
| | - Tony Hu
- Center for Cellular and Molecular Diagnostics
and Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, New Orleans, Louisiana 70112, United States
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Rayamajhi S, Sipes J, Tetlow AL, Saha S, Bansal A, Godwin AK. Extracellular Vesicles as Liquid Biopsy Biomarkers across the Cancer Journey: From Early Detection to Recurrence. Clin Chem 2024; 70:206-219. [PMID: 38175602 DOI: 10.1093/clinchem/hvad176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Accepted: 09/26/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND Cancer is a dynamic process and thus requires highly informative and reliable biomarkers to help guide patient care. Liquid-based biopsies have emerged as a clinical tool for tracking cancer dynamics. Extracellular vesicles (EVs), lipid bilayer delimited particles secreted by cells, are a new class of liquid-based biomarkers. EVs are rich in selectively sorted biomolecule cargos, which provide a spatiotemporal fingerprint of the cell of origin, including cancer cells. CONTENT This review summarizes the performance characteristics of EV-based biomarkers at different stages of cancer progression, from early malignancy to recurrence, while emphasizing their potential as diagnostic, prognostic, and screening biomarkers. We discuss the characteristics of effective biomarkers, consider challenges associated with the EV biomarker field, and report guidelines based on the biomarker discovery pipeline. SUMMARY Basic science and clinical trial studies have shown the potential of EVs as precision-based biomarkers for tracking cancer status, with promising applications for diagnosing disease, predicting response to therapy, and tracking disease burden. The multi-analyte cargos of EVs enhance the performance characteristics of biomarkers. Recent technological advances in ultrasensitive detection of EVs have shown promise with high specificity and sensitivity to differentiate early-cancer cases vs healthy individuals, potentially outperforming current gold-standard imaging-based cancer diagnosis. Ultimately, clinical translation will be dictated by how these new EV biomarker-based platforms perform in larger sample cohorts. Applying ultrasensitive, scalable, and reproducible EV detection platforms with better design considerations based upon the biomarker discovery pipeline should guide the field towards clinically useful liquid biopsy biomarkers.
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Affiliation(s)
- Sagar Rayamajhi
- Department of Pathology and Laboratory Medicine, University of Kansas Medical Center, Kansas City, KS, United States
| | - Jared Sipes
- Department of Pathology and Laboratory Medicine, University of Kansas Medical Center, Kansas City, KS, United States
| | - Ashley L Tetlow
- Department of Pathology and Laboratory Medicine, University of Kansas Medical Center, Kansas City, KS, United States
| | - Souvik Saha
- Division of Gastroenterology and Hepatology, University of Kansas Health System, Kansas City, KS, United States
| | - Ajay Bansal
- Division of Gastroenterology and Hepatology, University of Kansas Health System, Kansas City, KS, United States
- The University of Kansas Cancer Center, University of Kansas Medical Center, Kansas City, KS, United States
| | - Andrew K Godwin
- Department of Pathology and Laboratory Medicine, University of Kansas Medical Center, Kansas City, KS, United States
- The University of Kansas Cancer Center, University of Kansas Medical Center, Kansas City, KS, United States
- Division of Genomic Diagnostics, University of Kansas Health System, Kansas City, KS, United States
- Kansas Institute for Precision Medicine, University of Kansas Medical Center, Kansas City, KS, United States
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Stollmann A, Garcia-Guirado J, Hong JS, Im H, Lee H, Arroyo JO, Quidant R. Molecular fingerprinting of biological nanoparticles with a label-free optofluidic platform. RESEARCH SQUARE 2023:rs.3.rs-3309306. [PMID: 37886549 PMCID: PMC10602063 DOI: 10.21203/rs.3.rs-3309306/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Label-free detecting multiple analytes in a high-throughput fashion has been one of the long-sought goals in biosensing applications. Yet, for all-optical approaches, interfacing state-of-the-art label-free techniques with microfluidics tools that can process small volumes of sample with high throughput, and with surface chemistry that grants analyte specificity, poses a critical challenge to date. Here, we introduce an optofluidic platform that brings together state-of-the-art digital holography with PDMS microfluidics by using supported lipid bilayers as a surface chemistry building block to integrate both technologies. Specifically, this platform fingerprints heterogeneous biological nanoparticle populations via a multiplexed label-free immunoaffinity assay with single particle sensitivity. Herein, we first thoroughly characterise the robustness and performance of the platform, and then apply it to profile four distinct ovarian cell-derived extracellular vesicle populations over a panel of surface protein biomarkers, thus developing a unique biomarker fingerprint for each cell line. We foresee that our approach will find many applications where routine and multiplexed characterisation of biological nanoparticles is required.
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Affiliation(s)
- Alexia Stollmann
- Nanophotonic Systems Laboratory, Department of Mechanical and Process Engineering, ETH Zurich, 8092 Zurich, Switzerland
| | - Jose Garcia-Guirado
- Nanophotonic Systems Laboratory, Department of Mechanical and Process Engineering, ETH Zurich, 8092 Zurich, Switzerland
| | - Jae-Sang Hong
- Center for Systems Biology, Massachusetts General Hospital, Boston, Massachusetts 02114, United States
| | - Hyungsoon Im
- Center for Systems Biology, Massachusetts General Hospital, Boston, Massachusetts 02114, United States
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts 02114, United States
| | - Hakho Lee
- Center for Systems Biology, Massachusetts General Hospital, Boston, Massachusetts 02114, United States
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts 02114, United States
| | - Jaime Ortega Arroyo
- Nanophotonic Systems Laboratory, Department of Mechanical and Process Engineering, ETH Zurich, 8092 Zurich, Switzerland
| | - Romain Quidant
- Nanophotonic Systems Laboratory, Department of Mechanical and Process Engineering, ETH Zurich, 8092 Zurich, Switzerland
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