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Ricklefs FL, Wollmann K, Salviano-Silva A, Drexler R, Maire CL, Kaul MG, Reimer R, Schüller U, Heinemann S, Kolbe K, Mummert T, Glatzel M, Peine S, Gempt J, Westphal M, Dührsen L, Lamszus K. Circulating extracellular vesicles as biomarker for diagnosis, prognosis, and monitoring in glioblastoma patients. Neuro Oncol 2024; 26:1280-1291. [PMID: 38567448 PMCID: PMC11226867 DOI: 10.1093/neuonc/noae068] [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: 02/21/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Extracellular vesicles (EVs) obtained by noninvasive liquid biopsy from patient blood can serve as biomarkers. Here, we investigated the potential of circulating plasma EVs to serve as an indicator in the diagnosis, prognosis, and treatment response of glioblastoma patients. METHODS Plasma samples were collected from glioblastoma patients at multiple timepoints before and after surgery. EV concentrations were measured by nanoparticle tracking analysis and imaging flow cytometry. Tumor burden and edema were quantified by 3D reconstruction. EVs and tumors were further monitored in glioma-bearing mice. RESULTS Glioblastoma patients displayed a 5.5-fold increase in circulating EVs compared to healthy donors (P < .0001). Patients with higher EV levels had significantly shorter overall survival and progression-free survival than patients with lower levels, and the plasma EV concentration was an independent prognostic parameter for overall survival. EV levels correlated with the extent of peritumoral fluid-attenuated inversion recovery hyperintensity but not with the size of the contrast-enhancing tumor, and similar findings were obtained in mice. Postoperatively, EV concentrations decreased rapidly back to normal levels, and the magnitude of the decline was associated with the extent of tumor resection. EV levels remained low during stable disease, but increased again upon tumor recurrence. In some patients, EV resurgence preceded the magnetic resonance imaging detectability of tumor relapse. CONCLUSIONS Our findings suggest that leakiness of the blood-brain barrier may primarily be responsible for the high circulating EV concentrations in glioblastoma patients. Elevated EVs reflect tumor presence, and their quantification may thus be valuable in assessing disease activity.
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Affiliation(s)
- Franz L Ricklefs
- Laboratory for Brain Tumor Biology, Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Kathrin Wollmann
- Laboratory for Brain Tumor Biology, Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Amanda Salviano-Silva
- Laboratory for Brain Tumor Biology, Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Richard Drexler
- Laboratory for Brain Tumor Biology, Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Cecile L Maire
- Laboratory for Brain Tumor Biology, Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Michael G Kaul
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Rudolph Reimer
- Heinrich-Pette-Institut, Leibnitz Institute for Experimental Virology, Hamburg, Germany
| | - Ulrich Schüller
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Research Institute Children’s Cancer Center Hamburg, Hamburg, Germany
- Department of Paediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Sarina Heinemann
- Laboratory for Brain Tumor Biology, Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Katharina Kolbe
- Laboratory for Brain Tumor Biology, Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Tobias Mummert
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Markus Glatzel
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Sven Peine
- Institute of Transfusion Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Gempt
- Laboratory for Brain Tumor Biology, Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Manfred Westphal
- Laboratory for Brain Tumor Biology, Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department of Tumor Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Lasse Dührsen
- Laboratory for Brain Tumor Biology, Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Katrin Lamszus
- Laboratory for Brain Tumor Biology, Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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2
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Drexler R, Khatri R, Sauvigny T, Mohme M, Maire CL, Ryba A, Zghaibeh Y, Dührsen L, Salviano-Silva A, Lamszus K, Westphal M, Gempt J, Wefers AK, Neumann JE, Bode H, Hausmann F, Huber TB, Bonn S, Jütten K, Delev D, Weber KJ, Harter PN, Onken J, Vajkoczy P, Capper D, Wiestler B, Weller M, Snijder B, Buck A, Weiss T, Göller PC, Sahm F, Menstel JA, Zimmer DN, Keough MB, Ni L, Monje M, Silverbush D, Hovestadt V, Suvà ML, Krishna S, Hervey-Jumper SL, Schüller U, Heiland DH, Hänzelmann S, Ricklefs FL. A prognostic neural epigenetic signature in high-grade glioma. Nat Med 2024; 30:1622-1635. [PMID: 38760585 PMCID: PMC11186787 DOI: 10.1038/s41591-024-02969-w] [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: 08/07/2023] [Accepted: 04/03/2024] [Indexed: 05/19/2024]
Abstract
Neural-tumor interactions drive glioma growth as evidenced in preclinical models, but clinical validation is limited. We present an epigenetically defined neural signature of glioblastoma that independently predicts patients' survival. We use reference signatures of neural cells to deconvolve tumor DNA and classify samples into low- or high-neural tumors. High-neural glioblastomas exhibit hypomethylated CpG sites and upregulation of genes associated with synaptic integration. Single-cell transcriptomic analysis reveals a high abundance of malignant stemcell-like cells in high-neural glioblastoma, primarily of the neural lineage. These cells are further classified as neural-progenitor-cell-like, astrocyte-like and oligodendrocyte-progenitor-like, alongside oligodendrocytes and excitatory neurons. In line with these findings, high-neural glioblastoma cells engender neuron-to-glioma synapse formation in vitro and in vivo and show an unfavorable survival after xenografting. In patients, a high-neural signature is associated with decreased overall and progression-free survival. High-neural tumors also exhibit increased functional connectivity in magnetencephalography and resting-state magnet resonance imaging and can be detected via DNA analytes and brain-derived neurotrophic factor in patients' plasma. The prognostic importance of the neural signature was further validated in patients diagnosed with diffuse midline glioma. Our study presents an epigenetically defined malignant neural signature in high-grade gliomas that is prognostically relevant. High-neural gliomas likely require a maximized surgical resection approach for improved outcomes.
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Affiliation(s)
- Richard Drexler
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department of Neurology, Stanford University, Stanford, CA, USA
| | - Robin Khatri
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Thomas Sauvigny
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Malte Mohme
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Cecile L Maire
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Alice Ryba
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Yahya Zghaibeh
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Lasse Dührsen
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Amanda Salviano-Silva
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Katrin Lamszus
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Manfred Westphal
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Gempt
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Annika K Wefers
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Mildred Scheel Cancer Career Center HaTriCS4, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Julia E Neumann
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Molecular Neurobiology Hamburg (ZMNH), University Hospital Hamburg Eppendorf, Hamburg, Germany
| | - Helena Bode
- Research Institute Children's Cancer Center Hamburg, Hamburg, Germany
| | - Fabian Hausmann
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Tobias B Huber
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Kidney Health (HCKH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stefan Bonn
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Kerstin Jütten
- Department of Neurosurgery, University Hospital Aachen, Aachen, Germany
| | - Daniel Delev
- Department of Neurosurgery, University Hospital Aachen, Aachen, Germany
- Department of Neurosurgery, University Clinic Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Katharina J Weber
- Neurological Institute (Edinger Institute), University Hospital Frankfurt, Frankfurt am Main, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Frankfurt Cancer Institute (FCI), Frankfurt am Main, Germany
- University Cancer Center (UCT) Frankfurt, Frankfurt am Main, Germany
| | - Patrick N Harter
- Neurological Institute (Edinger Institute), University Hospital Frankfurt, Frankfurt am Main, Germany
- Institute of Neuropathology, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Julia Onken
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Peter Vajkoczy
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - David Capper
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Benedikt Wiestler
- Department of Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technical University Munich, Munich, Germany
| | - Michael Weller
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich, Zurich, Switzerland
- Department of Neurology, University of Zürich, Zurich, Switzerland
| | - Berend Snijder
- Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | - Alicia Buck
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich, Zurich, Switzerland
- Department of Neurology, University of Zürich, Zurich, Switzerland
| | - Tobias Weiss
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich, Zurich, Switzerland
- Department of Neurology, University of Zürich, Zurich, Switzerland
| | - Pauline C Göller
- Hopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Department of Neuropathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Felix Sahm
- Hopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Department of Neuropathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Joelle Aline Menstel
- Department of Neurosurgery, Medical Center University of Freiburg, Freiburg, Germany
| | - David Niklas Zimmer
- Department of Neurosurgery, Medical Center University of Freiburg, Freiburg, Germany
| | | | - Lijun Ni
- Department of Neurology, Stanford University, Stanford, CA, USA
| | - Michelle Monje
- Department of Neurology, Stanford University, Stanford, CA, USA
| | - Dana Silverbush
- Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Volker Hovestadt
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Mario L Suvà
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Saritha Krishna
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Shawn L Hervey-Jumper
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Ulrich Schüller
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Research Institute Children's Cancer Center Hamburg, Hamburg, Germany
- Department of Pediatric Hematology and Oncology, Research Institute Children's Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Dieter H Heiland
- Department of Neurosurgery, University Clinic Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
- Department of Neurosurgery, Medical Center University of Freiburg, Freiburg, Germany
- Translational Neurosurgery, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
- Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany
| | - Sonja Hänzelmann
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Kidney Health (HCKH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Franz L Ricklefs
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
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3
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Paterson ESJ, Scheck S, McDowell S, Bedford N, Girling JE, Henry CE. Comparison of cervicovaginal fluid extracellular vesicles isolated from paired cervical brushes and vaginal swabs. JOURNAL OF EXTRACELLULAR BIOLOGY 2024; 3:e153. [PMID: 38939571 PMCID: PMC11080783 DOI: 10.1002/jex2.153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 03/14/2024] [Accepted: 04/20/2024] [Indexed: 06/29/2024]
Abstract
Endometriosis is a common gynaecological condition, with a long diagnostic delay. Surgery is required to confirm a diagnosis, highlighting the need for a non-invasive biomarker. Extracellular vesicles (EVs) may have a role in endometriosis pathogenesis, yet there is limited EV biomarker literature available. This study aimed to investigate the feasibility of isolating cervico-vaginal fluid EVs sampled using cervical brushes and vaginal swabs and to compare these methods. After providing informed consent, patients undergoing surgery for suspected endometriosis had cervical brush and vaginal swab samples collected under general anaesthetic. Isolated EVs were characterised through negative stain transmission electron microscopy (TEM), Western blotting (TSG101, CD63, Calnexin, ApoB, Albumin), tunable resistive pulse sensing (TRPS), microBCA assays and RT-qPCR of miRNAs. PCR was performed on samples prior to EV isolation to assess bacteria present in samples. Cervical brush and vaginal swab EVs were intact vesicles with limited co-isolated contaminants. Cervical brushes had higher concentrations of particles compared to match vaginal swabs, although both samples had low concentrations. Protein and miRNA yield were similar between matched samples. PCR demonstrated only a small amount DNA within samples was bacterial (>0.5%). Cervico-vaginal fluids EVs were successfully isolated from cervical brushes and vaginal swabs, demonstrating a new method of sampling reproductive EVs. EV yield from both sample types was low. Similar protein and miRNA levels suggest either sampling method may be suitable for biomarker studies.
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Affiliation(s)
| | - Simon Scheck
- Department of Obstetrics, Gynaecology and Women's HealthUniversity of OtagoWellington, AotearoaNew Zealand
- Department of Obstetrics and GynaecologyWellington Hospital, Te Whatu Ora ‐ Capital, Coast and Hutt ValleyWellington, AotearoaNew Zealand
| | - Simon McDowell
- Department of Obstetrics and GynaecologyWellington Hospital, Te Whatu Ora ‐ Capital, Coast and Hutt ValleyWellington, AotearoaNew Zealand
| | - Nick Bedford
- Department of Obstetrics and GynaecologyWellington Hospital, Te Whatu Ora ‐ Capital, Coast and Hutt ValleyWellington, AotearoaNew Zealand
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4
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Deng MY, da Silva AS, Göller PC, König L, Schäfer H, Maire C, Lentz-Hommertgen A, Held T, Regnery S, Eichkorn T, Stritzke F, Bauer L, Schnell D, Herfarth K, von Deimling A, Krieg S, Wick A, Wick W, Grosu A, Debus J, Sahm F, Ricklefs F. Plasma extracellular vesicles in meningioma patients following radiotherapy as liquid biopsy- a prospective explorative biomarker study (ARO 2023-05/AG-NRO-07). BMC Cancer 2024; 24:449. [PMID: 38605332 PMCID: PMC11007956 DOI: 10.1186/s12885-024-12170-4] [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: 03/03/2024] [Accepted: 03/22/2024] [Indexed: 04/13/2024] Open
Abstract
BACKGROUND While surgical resection remains the primary treatment approach for symptomatic or growing meningiomas, radiotherapy represents an auspicious alternative in patients with meningiomas not safely amenable to surgery. Biopsies are often omitted in light of potential postoperative neurological deficits, resulting in a lack of histological grading and (molecular) risk stratification. In this prospective explorative biomarker study, extracellular vesicles in the bloodstream will be investigated in patients with macroscopic meningiomas to identify a biomarker for molecular risk stratification and disease monitoring. METHODS In total, 60 patients with meningiomas and an indication of radiotherapy (RT) and macroscopic tumor on the planning MRI will be enrolled. Blood samples will be obtained before the start, during, and after radiotherapy, as well as during clinical follow-up every 6 months. Extracellular vesicles will be isolated from the blood samples, quantified and correlated with the clinical treatment response or progression. Further, nanopore sequencing-based DNA methylation profiles of plasma EV-DNA will be generated for methylation-based meningioma classification. DISCUSSION This study will explore the dynamic of plasma EVs in meningioma patients under/after radiotherapy, with the objective of identifying potential biomarkers of (early) tumor progression. DNA methylation profiling of plasma EVs in meningioma patients may enable molecular risk stratification, facilitating a molecularly-guided target volume delineation and adjusted dose prescription during RT treatment planning.
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Affiliation(s)
- Maximilian Y Deng
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany.
- Heidelberg Institute for Radiation Oncology (HIRO) and National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany.
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and Heidelberg University Hospital, Heidelberg, Germany.
- Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany.
| | | | - Pauline Carlotta Göller
- Department of Neuropathology, CCU Neuropathology, Heidelberg University Hospital, Heidelberg University, German Consortium for Translational Cancer Research (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Laila König
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
- Heidelberg Institute for Radiation Oncology (HIRO) and National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and Heidelberg University Hospital, Heidelberg, Germany
- Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
| | - Henning Schäfer
- Department of Radiation Oncology, University Medical Center Freiburg, University of Freiburg, Freiburg, Germany
| | - Cecile Maire
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Adriane Lentz-Hommertgen
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
- Heidelberg Institute for Radiation Oncology (HIRO) and National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and Heidelberg University Hospital, Heidelberg, Germany
- Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
| | - Thomas Held
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
- Heidelberg Institute for Radiation Oncology (HIRO) and National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and Heidelberg University Hospital, Heidelberg, Germany
- Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
| | - Sebastian Regnery
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
- Heidelberg Institute for Radiation Oncology (HIRO) and National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and Heidelberg University Hospital, Heidelberg, Germany
- Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
| | - Tanja Eichkorn
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
- Heidelberg Institute for Radiation Oncology (HIRO) and National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and Heidelberg University Hospital, Heidelberg, Germany
- Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
| | - Florian Stritzke
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
- Heidelberg Institute for Radiation Oncology (HIRO) and National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and Heidelberg University Hospital, Heidelberg, Germany
- Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
| | - Lukas Bauer
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
- Heidelberg Institute for Radiation Oncology (HIRO) and National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and Heidelberg University Hospital, Heidelberg, Germany
- Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
| | - Daniel Schnell
- Department of Radiation Oncology, University Medical Center Freiburg, University of Freiburg, Freiburg, Germany
| | - Klaus Herfarth
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
- Heidelberg Institute for Radiation Oncology (HIRO) and National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and Heidelberg University Hospital, Heidelberg, Germany
- Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
| | - Andreas von Deimling
- Department of Neuropathology, CCU Neuropathology, Heidelberg University Hospital, Heidelberg University, German Consortium for Translational Cancer Research (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sandro Krieg
- Department of Neurosurgery, University Hospital Heidelberg, Heidelberg University, Heidelberg, Germany
| | - Antje Wick
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and Heidelberg University Hospital, Heidelberg, Germany
- Department of Neurology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
| | - Wolfgang Wick
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and Heidelberg University Hospital, Heidelberg, Germany
- Department of Neurology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
- Clinical Cooperation Unit Neurooncology, German Consortium for Translational Cancer Research (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Anca Grosu
- Department of Radiation Oncology, University Medical Center Freiburg, University of Freiburg, Freiburg, Germany
| | - Jürgen Debus
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
- Heidelberg Institute for Radiation Oncology (HIRO) and National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and Heidelberg University Hospital, Heidelberg, Germany
- Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
- Clinical Cooperation Unit Radiation Oncology, German Consortium for Translational Cancer Research (DKTK), German Cancer Research Center (DKFZ) Heidelberg, Heidelberg, Germany
| | - Felix Sahm
- Department of Neuropathology, CCU Neuropathology, Heidelberg University Hospital, Heidelberg University, German Consortium for Translational Cancer Research (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Franz Ricklefs
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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5
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Boudna M, Machackova T, Vychytilova-Faltejskova P, Trachtova K, Bartosova R, Catela Ivkovic T, Al Tukmachi D, Jugas R, Pifkova L, Orlickova J, Kotoucek J, Pavlikova M, Sachlova M, Bohovicova L, Stanek T, Halamkova J, Kiss I, Grolich T, Svoboda M, Kala Z, Souckova K, Slaby O. Investigation of long non-coding RNAs in extracellular vesicles from low-volume blood serum specimens of colorectal cancer patients. Clin Exp Med 2024; 24:67. [PMID: 38568288 PMCID: PMC10991038 DOI: 10.1007/s10238-024-01323-1] [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: 01/08/2024] [Accepted: 03/04/2024] [Indexed: 04/05/2024]
Abstract
Colorectal cancer (CRC) is the second most prevalent cancer type worldwide, which highlights the urgent need for non-invasive biomarkers for its early detection and improved prognosis. We aimed to investigate the patterns of long non-coding RNAs (lncRNAs) in small extracellular vesicles (sEVs) collected from low-volume blood serum specimens of CRC patients, focusing on their potential as diagnostic biomarkers. Our research comprised two phases: an initial exploratory phase involving RNA sequencing of sEVs from 76 CRC patients and 29 healthy controls, and a subsequent validation phase with a larger cohort of 159 CRC patients and 138 healthy controls. Techniques such as dynamic light scattering, transmission electron microscopy, and Western blotting were utilized for sEV characterization. Optimized protocol for sEV purification, RNA isolation and preamplification was applied to successfully sequence the RNA content of sEVs and validate the results by RT-qPCR. We successfully isolated sEVs from blood serum and prepared sequencing libraries from a low amount of RNA. High-throughput sequencing identified differential levels of 460 transcripts between CRC patients and healthy controls, including mRNAs, lncRNAs, and pseudogenes, with approximately 20% being lncRNAs, highlighting several tumor-specific lncRNAs that have not been associated with CRC development and progression. The validation phase confirmed the upregulation of three lncRNAs (NALT1, AL096828, and LINC01637) in blood serum of CRC patients. This study not only identified lncRNA profiles in a population of sEVs from low-volume blood serum specimens of CRC patients but also highlights the value of innovative techniques in biomolecular research, particularly for the detection and analysis of low-abundance biomolecules in clinical samples. The identification of specific lncRNAs associated with CRC provides a foundation for future research into their functional roles in cancer development and potential clinical applications.
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Affiliation(s)
- Marie Boudna
- Centre for Molecular Medicine, Central European Institute of Technology, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic
- Department of Biology, Faculty of Medicine, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic
| | - Tana Machackova
- Centre for Molecular Medicine, Central European Institute of Technology, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic
| | - Petra Vychytilova-Faltejskova
- Centre for Molecular Medicine, Central European Institute of Technology, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic
- Department of Biology, Faculty of Medicine, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic
| | - Karolina Trachtova
- Centre for Molecular Medicine, Central European Institute of Technology, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic
| | - Renata Bartosova
- Centre for Molecular Medicine, Central European Institute of Technology, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic
| | - Tina Catela Ivkovic
- Centre for Molecular Medicine, Central European Institute of Technology, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic
| | - Dagmar Al Tukmachi
- Centre for Molecular Medicine, Central European Institute of Technology, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic
| | - Robin Jugas
- Centre for Molecular Medicine, Central European Institute of Technology, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic
| | - Lucie Pifkova
- Centre for Molecular Medicine, Central European Institute of Technology, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic
| | - Jana Orlickova
- Centre for Molecular Medicine, Central European Institute of Technology, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic
| | - Jan Kotoucek
- Department of Pharmacology and Toxicology, Veterinary Research Institute, Brno, Czech Republic
| | - Marketa Pavlikova
- Centre for Molecular Medicine, Central European Institute of Technology, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic
| | - Milana Sachlova
- Department of Gastroenterology and Digestive Endoscopy, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Lucia Bohovicova
- Department of Comprehensive Cancer Care, Faculty of Medicine, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Teodor Stanek
- Department of Surgical Oncology, Faculty of Medicine, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Jana Halamkova
- Department of Comprehensive Cancer Care, Faculty of Medicine, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Igor Kiss
- Department of Comprehensive Cancer Care, Faculty of Medicine, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Tomas Grolich
- Department of Surgery, Faculty of Medicine, University Hospital Brno Bohunice, Masaryk University, Brno, Czech Republic
| | - Martin Svoboda
- Department of Surgery, Faculty of Medicine, University Hospital Brno Bohunice, Masaryk University, Brno, Czech Republic
| | - Zdenek Kala
- Department of Surgery, Faculty of Medicine, University Hospital Brno Bohunice, Masaryk University, Brno, Czech Republic
| | - Kamila Souckova
- Centre for Molecular Medicine, Central European Institute of Technology, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic.
| | - Ondrej Slaby
- Centre for Molecular Medicine, Central European Institute of Technology, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic.
- Department of Biology, Faculty of Medicine, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic.
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6
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Dimitriadis S, Dova L, Kotsianidis I, Hatzimichael E, Kapsali E, Markopoulos GS. Imaging Flow Cytometry: Development, Present Applications, and Future Challenges. Methods Protoc 2024; 7:28. [PMID: 38668136 PMCID: PMC11054958 DOI: 10.3390/mps7020028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 03/13/2024] [Accepted: 03/21/2024] [Indexed: 04/29/2024] Open
Abstract
Imaging flow cytometry (ImFC) represents a significant technological advancement in the field of cytometry, effectively merging the high-throughput capabilities of flow analysis with the detailed imaging characteristics of microscopy. In our comprehensive review, we adopt a historical perspective to chart the development of ImFC, highlighting its origins and current state of the art and forecasting potential future advancements. The genesis of ImFC stemmed from merging the hydraulic system of a flow cytometer with advanced camera technology. This synergistic coupling facilitates the morphological analysis of cell populations at a high-throughput scale, effectively evolving the landscape of cytometry. Nevertheless, ImFC's implementation has encountered hurdles, particularly in developing software capable of managing its sophisticated data acquisition and analysis needs. The scale and complexity of the data generated by ImFC necessitate the creation of novel analytical tools that can effectively manage and interpret these data, thus allowing us to unlock the full potential of ImFC. Notably, artificial intelligence (AI) algorithms have begun to be applied to ImFC, offering promise for enhancing its analytical capabilities. The adaptability and learning capacity of AI may prove to be essential in knowledge mining from the high-dimensional data produced by ImFC, potentially enabling more accurate analyses. Looking forward, we project that ImFC may become an indispensable tool, not only in research laboratories, but also in clinical settings. Given the unique combination of high-throughput cytometry and detailed imaging offered by ImFC, we foresee a critical role for this technology in the next generation of scientific research and diagnostics. As such, we encourage both current and future scientists to consider the integration of ImFC as an addition to their research toolkit and clinical diagnostic routine.
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Affiliation(s)
- Savvas Dimitriadis
- Hematology Laboratory, Unit of Molecular Biology and Translational Flow Cytometry, University Hospital of Ioannina, 45100 Ioannina, Greece; (S.D.); (L.D.)
| | - Lefkothea Dova
- Hematology Laboratory, Unit of Molecular Biology and Translational Flow Cytometry, University Hospital of Ioannina, 45100 Ioannina, Greece; (S.D.); (L.D.)
| | - Ioannis Kotsianidis
- Department of Hematology, University Hospital of Alexandroupolis, Democritus University of Thrace, 69100 Alexandroupolis, Greece;
| | - Eleftheria Hatzimichael
- Department of Hematology, Faculty of Medicine, University of Ioannina, 45110 Ioannina, Greece; (E.H.); (E.K.)
| | - Eleni Kapsali
- Department of Hematology, Faculty of Medicine, University of Ioannina, 45110 Ioannina, Greece; (E.H.); (E.K.)
| | - Georgios S. Markopoulos
- Hematology Laboratory, Unit of Molecular Biology and Translational Flow Cytometry, University Hospital of Ioannina, 45100 Ioannina, Greece; (S.D.); (L.D.)
- Department of Surgery, Faculty of Medicine, University of Ioannina, 45110 Ioannina, Greece
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7
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Hu S, Feng L, Yang Z, Fan X, Gao H, Yang T. A recognition of exosomes as regulators of epigenetic mechanisms in central nervous system diseases. Front Mol Neurosci 2024; 17:1370449. [PMID: 38528957 PMCID: PMC10962328 DOI: 10.3389/fnmol.2024.1370449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Accepted: 02/28/2024] [Indexed: 03/27/2024] Open
Abstract
Exosomes, vesicular structures originating from cells, participate in the conveyance of proteins and nucleic acids. Presently, the centrality of epigenetic modifications in neurological disorders is widely acknowledged. Exosomes exert influence over various epigenetic phenomena, thereby modulating post-transcriptional regulatory processes contingent upon their constituent makeup. Consequently, the heightened attention directed toward exosomes as instigators of epigenetic alterations has burgeoned in recent years. Notably, exosomes serve as vehicles for delivering methyltransferases to recipient cells. More significantly, non-coding RNAs, particularly microRNAs (miRNAs), represent pivotal contents within exosomes, wielding the capacity to influence the expression of diverse factors within the cerebral milieu. The transfer of these exosomal contents amidst brain cells, encompassing neuronal cells and microglia, assumes a critical role in the genesis and progression of neurological disorders, also, this role is not limited to neurological disorders, it may deal with any human disease, such as cancer, and cardiovascular diseases. This review will concentrate on elucidating the regulation of exosome-induced epigenetic events and its subsequent ramifications for neurological diseases. A more profound comprehension of the involvement of exosome-mediated epigenetic regulation in neurological disorders contributes to a heightened awareness of the etiology and advancement of cerebral afflictions.
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Affiliation(s)
- Shunxin Hu
- Shandong First Medical University, Tai'an, China
| | - Lei Feng
- Jining First People's Hospital, Jining, China
| | | | - Xuechen Fan
- Jining First People's Hospital, Jining, China
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8
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Fuest S, Salviano-Silva A, Maire CL, Xu Y, Apel C, Grust ALC, Delle Coste A, Gosau M, Ricklefs FL, Smeets R. Doping of casted silk fibroin membranes with extracellular vesicles for regenerative therapy: a proof of concept. Sci Rep 2024; 14:3553. [PMID: 38347108 PMCID: PMC10861453 DOI: 10.1038/s41598-024-54014-y] [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: 12/15/2023] [Accepted: 02/07/2024] [Indexed: 02/15/2024] Open
Abstract
Bioactive material concepts for targeted therapy have been an important research focus in regenerative medicine for years. The aim of this study was to investigate a proof-of-concept composite structure in the form of a membrane made of natural silk fibroin (SF) and extracellular vesicles (EVs) from gingival fibroblasts. EVs have multiple abilities to act on their target cell and can thus play crucial roles in both physiology and regeneration. This study used pH neutral, degradable SF-based membranes, which have excellent cell- and tissue-specific properties, as the carrier material. The characterization of the vesicles showed a size range between 120 and 180 nm and a high expression of the usual EV markers (e.g. CD9, CD63 and CD81), measured by nanoparticle tracking analysis (NTA) and single-EV flow analysis (IFCM). An initial integration of the EVs into the membrane was analyzed using scanning and transmission electron microscopy (SEM and TEM) and vesicles were successfully detected, even if they were not homogeneously distributed in the membrane. Using direct and indirect tests, the cytocompatibility of the membranes with and without EVs could be proven and showed significant differences compared to the toxic control (p < 0.05). Additionally, proliferation of L929 cells was increased on membranes functionalized with EVs (p > 0.05).
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Affiliation(s)
- Sandra Fuest
- Department of Oral and Maxillofacial Surgery, Division of Regenerative Orofacial Medicine, University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany.
| | - Amanda Salviano-Silva
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany
| | - Cecile L Maire
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany
| | - Yong Xu
- Department of Biohybrid and Medical Textiles (BioTex), AME - Institute of Applied Medical Engineering, Helmholtz Institute of RWTH Aachen University and Hospital, 52074, Aachen, Germany
| | - Christian Apel
- Department of Biohybrid and Medical Textiles (BioTex), AME - Institute of Applied Medical Engineering, Helmholtz Institute of RWTH Aachen University and Hospital, 52074, Aachen, Germany
| | - Audrey Laure Céline Grust
- Department of Oral and Maxillofacial Surgery, Division of Regenerative Orofacial Medicine, University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany
| | - Arianna Delle Coste
- Department of Oral and Maxillofacial Surgery, Division of Regenerative Orofacial Medicine, University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany
| | - Martin Gosau
- Department of Oral and Maxillofacial Surgery, University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany
| | - Franz L Ricklefs
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany
| | - Ralf Smeets
- Department of Oral and Maxillofacial Surgery, Division of Regenerative Orofacial Medicine, University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany
- Department of Oral and Maxillofacial Surgery, University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany
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9
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Zhang XM, Huang J, Ni XY, Zhu HR, Huang ZX, Ding S, Yang XY, Tan YD, Chen JF, Cai JH. Current progression in application of extracellular vesicles in central nervous system diseases. Eur J Med Res 2024; 29:15. [PMID: 38173021 PMCID: PMC10763486 DOI: 10.1186/s40001-023-01606-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 12/20/2023] [Indexed: 01/05/2024] Open
Abstract
Early diagnosis and pharmacological treatment of central nervous system (CNS) diseases has been a long-standing challenge for clinical research due to the presence of the blood-brain barrier. Specific proteins and RNAs in brain-derived extracellular vesicles (EVs) usually reflect the corresponding state of brain disease, and therefore, EVs can be used as diagnostic biomarkers for CNS diseases. In addition, EVs can be engineered and fused to target cells for delivery of cargo, demonstrating the great potential of EVs as a nanocarrier platform. We review the progress of EVs as markers and drug carriers in the diagnosis and treatment of neurological diseases. The main areas include visual imaging, biomarker diagnosis and drug loading therapy for different types of CNS diseases. It is hoped that increased knowledge of EVs will facilitate their clinical translation in CNS diseases.
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Affiliation(s)
- Xiang-Min Zhang
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, No. 136, Zhongshan Second Road, Chongqing, 400014, China
- Chongqing Engineering Research Center of Stem Cell Therapy, No. 136, Zhongshan Second Road, Chongqing, 400014, China
| | - Jie Huang
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, No. 136, Zhongshan Second Road, Chongqing, 400014, China
- Chongqing Engineering Research Center of Stem Cell Therapy, No. 136, Zhongshan Second Road, Chongqing, 400014, China
| | - Xiao-Ying Ni
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, No. 136, Zhongshan Second Road, Chongqing, 400014, China
- Chongqing Engineering Research Center of Stem Cell Therapy, No. 136, Zhongshan Second Road, Chongqing, 400014, China
| | - Hui-Ru Zhu
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, No. 136, Zhongshan Second Road, Chongqing, 400014, China
- Chongqing Engineering Research Center of Stem Cell Therapy, No. 136, Zhongshan Second Road, Chongqing, 400014, China
| | - Zhong-Xin Huang
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, No. 136, Zhongshan Second Road, Chongqing, 400014, China
- Chongqing Engineering Research Center of Stem Cell Therapy, No. 136, Zhongshan Second Road, Chongqing, 400014, China
| | - Shuang Ding
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, No. 136, Zhongshan Second Road, Chongqing, 400014, China
- Chongqing Engineering Research Center of Stem Cell Therapy, No. 136, Zhongshan Second Road, Chongqing, 400014, China
| | - Xin-Yi Yang
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, No. 136, Zhongshan Second Road, Chongqing, 400014, China
- Chongqing Engineering Research Center of Stem Cell Therapy, No. 136, Zhongshan Second Road, Chongqing, 400014, China
| | - Yan-Di Tan
- Department of Ultrasound the Third Affiliated Hospital of Chongqing Medical University, No. 1, Shuanghu Branch Road, Huixing Street, Chongqing, 401120, China
| | - Jian-Fu Chen
- Department of Ultrasound, The Second People's Hospital of Yunnan Province, No. 176, Qingnian Road, Kunming, 650021, China
| | - Jin-Hua Cai
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, No. 136, Zhongshan Second Road, Chongqing, 400014, China.
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10
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Zhu S, Tang X, Zhang J, Hu J, Gao X, Li D, Jia W. Urinary extracellular vesicles prevent di-(2-ethylhexyl) phthalate-induced hypospadias by facilitating epithelial-mesenchymal transition via PFN2 delivery. Cell Biol Toxicol 2023; 39:2569-2586. [PMID: 37953354 DOI: 10.1007/s10565-023-09838-1] [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: 02/22/2022] [Accepted: 10/25/2023] [Indexed: 11/14/2023]
Abstract
BACKGROUND Urinary extracellular vesicles (EVs) have gained increasing interest in recent years as a potential source of noninvasive biomarkers of diseases related to urinary organs, but knowledge of the mechanism is still limited. The current study sought to clarify the mechanism of urinary EVs behind di-(2-ethylhexyl) phthalate (DEHP)-induced hypospadias via PFN2 delivery. METHOD PFN2 expression in hypospadias was predicted by bioinformatics analysis. Following the induction of a hypospadias rat model using DEHP, rats were injected with EVs and/or underwent alteration of PFN2 and TGF-β1 to assess their effects in vivo. The extracted rat urothelial cells (UECs) were co-cultured with EVs extracted from urine for in vitro experiments. RESULT Microarray analysis predicted poor PFN2 expression in hypospadias. Upregulated PFN2 was found in urinary EVs, and restrained epithelial-mesenchymal transition (EMT) was observed in DEHP-exposed rats. Urinary EVs or PFN2 overexpression increased SMAD2, SMAD3, and TGF-β1 protein expression and SMAD2 and SMAD3 phosphorylation in UECs and DEHP-exposed rats. UEC migration, invasion, and EMT were augmented by EV co-culture or upregulation of PFN2. Of note, the silencing of TGF-β1 counterweighed the effect of PFN2. Besides, EV co-culture or overexpression of PFN2 or TGF-β1 elevated the body weight, anal-genital distance (AGD), anal-genital index (AGI), and EMT of DEHP-exposed rats. CONCLUSION In summary, urinary EVs activated the SMAD/TGF-β1 pathway to induce EMT via PFN2 delivery, thus protecting against DEHP-induced hypospadias. (1) EMT in epithelial cells inhibits DEHP-induced hypospadias. (2) Urine-derived EVs deliver PFN2 to promote EMT in epithelial cells. (3) PFN2 can activate the SMAD/TGF-β1 signaling axis. (4) Urine-derived EVs can transmit PFN2 to activate the SMAD/TGF-β1 signaling axis, thus promoting EMT and inhibiting the occurrence of hypospadias.
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Affiliation(s)
- Shibo Zhu
- Department of Pediatric Urology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, People's Republic of China
| | - Xiangliang Tang
- Department of Pediatric Urology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, People's Republic of China
| | - Jin Zhang
- Department of Pediatric Urology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, People's Republic of China
| | - Jinhua Hu
- Department of Pediatric Urology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, People's Republic of China
| | - Xiaofeng Gao
- Department of Pediatric Urology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, People's Republic of China
| | - Dian Li
- Department of Pediatric Urology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, People's Republic of China
| | - Wei Jia
- Department of Pediatric Urology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, People's Republic of China.
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11
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Barreca V, Boussadia Z, Polignano D, Galli L, Tirelli V, Sanchez M, Falchi M, Bertuccini L, Iosi F, Tatti M, Sargiacomo M, Fiani ML. Metabolic labelling of a subpopulation of small extracellular vesicles using a fluorescent palmitic acid analogue. J Extracell Vesicles 2023; 12:e12392. [PMID: 38072803 PMCID: PMC10710952 DOI: 10.1002/jev2.12392] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 11/14/2023] [Accepted: 11/17/2023] [Indexed: 12/18/2023] Open
Abstract
Exosomes are among the most puzzling vehicles of intercellular communication, but several crucial aspects of their biogenesis remain elusive, primarily due to the difficulty in purifying vesicles with similar sizes and densities. Here we report an effective methodology for labelling small extracellular vesicles (sEV) using Bodipy FL C16, a fluorescent palmitic acid analogue. In this study, we present compelling evidence that the fluorescent sEV population derived from Bodipy C16-labelled cells represents a discrete subpopulation of small exosomes following an intracellular pathway. Rapid cellular uptake and metabolism of Bodipy C16 resulted in the incorporation of fluorescent phospholipids into intracellular organelles specifically excluding the plasma membrane and ultimately becoming part of the exosomal membrane. Importantly, our fluorescence labelling method facilitated accurate quantification and characterization of exosomes, overcoming the limitations of nonspecific dye incorporation into heterogeneous vesicle populations. The characterization of Bodipy-labelled exosomes reveals their enrichment in tetraspanin markers, particularly CD63 and CD81, and in minor proportion CD9. Moreover, we employed nanoFACS sorting and electron microscopy to confirm the exosomal nature of Bodipy-labelled vesicles. This innovative metabolic labelling approach, based on the fate of a fatty acid, offers new avenues for investigating exosome biogenesis and functional properties in various physiological and pathological contexts.
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Affiliation(s)
- Valeria Barreca
- National Center for Global HealthIstituto Superiore di SanitàRomeItaly
| | | | - Deborah Polignano
- National Center for Global HealthIstituto Superiore di SanitàRomeItaly
| | - Lorenzo Galli
- National Center for Global HealthIstituto Superiore di SanitàRomeItaly
| | | | | | - Mario Falchi
- National AIDS CenterIstituto Superiore di SanitàRomeItaly
| | | | | | - Massimo Tatti
- Department of Oncology and Molecular MedicineIstituto Superiore di SanitàRomeItaly
| | | | - Maria Luisa Fiani
- National Center for Global HealthIstituto Superiore di SanitàRomeItaly
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12
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Zhang J, Wu J, Wang G, He L, Zheng Z, Wu M, Zhang Y. Extracellular Vesicles: Techniques and Biomedical Applications Related to Single Vesicle Analysis. ACS NANO 2023; 17:17668-17698. [PMID: 37695614 DOI: 10.1021/acsnano.3c03172] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Extracellular vesicles (EVs) are extensively dispersed lipid bilayer membrane vesicles involved in the delivery and transportation of molecular payloads to certain cell types to facilitate intercellular interactions. Their significant roles in physiological and pathological processes make EVs outstanding biomarkers for disease diagnosis and treatment monitoring as well as ideal candidates for drug delivery. Nevertheless, differences in the biogenesis processes among EV subpopulations have led to a diversity of biophysical characteristics and molecular cargos. Additionally, the prevalent heterogeneity of EVs has been found to substantially hamper the sensitivity and accuracy of disease diagnosis and therapeutic monitoring, thus impeding the advancement of clinical applications. In recent years, the evolution of single EV (SEV) analysis has enabled an in-depth comprehension of the physical properties, molecular composition, and biological roles of EVs at the individual vesicle level. This review examines the sample acquisition tactics prior to SEV analysis, i.e., EV isolation techniques, and outlines the current state-of-the-art label-free and label-based technologies for SEV identification. Furthermore, the challenges and prospects of biomedical applications based on SEV analysis are systematically discussed.
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Affiliation(s)
- Jie Zhang
- Guangdong Key Laboratory of Chiral Molecule and Drug Discovery, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, P. R. China
| | - Jiacheng Wu
- Guangdong Key Laboratory of Chiral Molecule and Drug Discovery, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, P. R. China
| | - Guanzhao Wang
- Guangdong Key Laboratory of Chiral Molecule and Drug Discovery, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, P. R. China
| | - Luxuan He
- Guangdong Key Laboratory of Chiral Molecule and Drug Discovery, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, P. R. China
| | - Ziwei Zheng
- Guangdong Key Laboratory of Chiral Molecule and Drug Discovery, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, P. R. China
| | - Minhao Wu
- Department of Immunology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, P. R. China
| | - Yuanqing Zhang
- Guangdong Key Laboratory of Chiral Molecule and Drug Discovery, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, P. R. China
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13
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Brambilla M, Frigerio R, Becchetti A, Gori A, Cretich M, Conti M, Mazza A, Pengo M, Camera M. Head-to-Head Comparison of Tissue Factor-Dependent Procoagulant Potential of Small and Large Extracellular Vesicles in Healthy Subjects and in Patients with SARS-CoV-2 Infection. BIOLOGY 2023; 12:1233. [PMID: 37759632 PMCID: PMC10525820 DOI: 10.3390/biology12091233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 08/28/2023] [Accepted: 09/01/2023] [Indexed: 09/29/2023]
Abstract
The relative contribution of small (sEVs) and large extracellular vesicles (lEVs) to the total plasma procoagulant potential is not yet well defined. Thus, we compared total and TFpos-sEVs and -lEVs isolated from healthy subjects and COVID-19 patients during the acute phase of the infection and after symptom remission in terms of (1) vesicle enumeration using nanoparticle tracking assay, imaging flow cytometry, and TF immunofluorescence localization in a single-vesicle analysis using microarrays; (2) cellular origin; and (3) TF-dependent Xa generation capacity, as well as assessing the contribution of the TF inhibitor, TFPI. In healthy subjects, the plasma concentration of CD9/CD63/CD81pos sEVs was 30 times greater than that of calceinpos lEVs, and both were mainly released by platelets. Compared to lEVs, the levels of TFpos-sEVs were 2-fold higher. The TF-dependent Xa generation capacity of lEVs was three times greater than that of sEVs, with the latter being hindered by TFPI. Compared to HSs, the amounts of total and TFpos-sEVs and -lEVs were significantly greater in acute COVID-19 patients, which reverted to the physiological values at the 6-month follow-up. Interestingly, the FXa generation of lEVs only significantly increased during acute infection, with that of sEV being similar to that of HSs. Thus, in both healthy subjects and COVID-19 patients, the TF-dependent procoagulant potential is mostly sustained by large vesicles.
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Affiliation(s)
- Marta Brambilla
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (M.B.)
| | - Roberto Frigerio
- National Research Council of Italy (SCITEC-CNR), 20133 Milan, Italy
| | | | - Alessandro Gori
- National Research Council of Italy (SCITEC-CNR), 20133 Milan, Italy
| | - Marina Cretich
- National Research Council of Italy (SCITEC-CNR), 20133 Milan, Italy
| | - Maria Conti
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (M.B.)
| | - Antonella Mazza
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (M.B.)
| | - Martino Pengo
- Istituto Auxologico Italiano IRCCS, 20149 Milan, Italy
| | - Marina Camera
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (M.B.)
- Department of Pharmaceutical Sciences, Università degli Studi di Milano, 20133 Milan, Italy
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14
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Hui J, Zhou M, An G, Zhang H, Lu Y, Wang X, Zhao X. Regulatory role of exosomes in colorectal cancer progression and potential as biomarkers. Cancer Biol Med 2023; 20:j.issn.2095-3941.2023.0119. [PMID: 37553810 PMCID: PMC10476469 DOI: 10.20892/j.issn.2095-3941.2023.0119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 06/29/2023] [Indexed: 08/10/2023] Open
Abstract
Colorectal cancer (CRC) remains an enormous challenge to human health worldwide. Unfortunately, the mechanism underlying CRC progression is not well understood. Mounting evidence has confirmed that exosomes play a vital role in CRC progression, which has attracted extensive attention among researchers. In addition to acting as messengers between CRC cells, exosomes also participate in the CRC immunomodulatory process and reshape immune function. As stable message carriers and liquid biopsy option under development, exosomes are promising biomarkers in the diagnosis or treatment of CRC. In this review we have described and analyzed the biogenesis and release of exosomes and current research on the role of exosomes in immune regulation and metastasis of CRC. Moreover, we have discussed candidate exosomal molecules as potential biomarkers to diagnose CRC, predict CRC progression, or determine CRC chemoresistance, and described the significance of exosomes in the immunotherapy of CRC. This review provides insight to further understand the role of exosomes in CRC progression and identify valuable biomarkers that facilitate the clinical management of CRC patients.
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Affiliation(s)
- Juan Hui
- Department of Gastroenterology, Tangdu Hospital, Air Force Medical University, Xi’an 710038, China
- State Key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi’an 710032, China
| | - Mingzhen Zhou
- State Key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi’an 710032, China
| | - Guangzhou An
- Department of Gastroenterology, Tangdu Hospital, Air Force Medical University, Xi’an 710038, China
- Department of Radiation Protection Medicine, Ministry of Education Key Laboratory of Hazard Assessment and Control in Special Operational Environment, Faculty of Preventive Medicine, Air Force Medical University, Xi’an 710032, China
| | - Hui Zhang
- Department of Gastroenterology, Tangdu Hospital, Air Force Medical University, Xi’an 710038, China
- Department of Traditional Chinese Medicine, Tangdu Hospital, Air Force Medical University, Xi’an 710038, China
| | - Yuanyuan Lu
- State Key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi’an 710032, China
| | - Xin Wang
- Department of Gastroenterology, Tangdu Hospital, Air Force Medical University, Xi’an 710038, China
| | - Xiaodi Zhao
- State Key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi’an 710032, China
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15
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Drexler R, Khatri R, Sauvigny T, Mohme M, Maire CL, Ryba A, Zghaibeh Y, Dührsen L, Salviano-Silva A, Lamszus K, Westphal M, Gempt J, Wefers AK, Neumann J, Bode H, Hausmann F, Huber TB, Bonn S, Jütten K, Delev D, Weber KJ, Harter PN, Onken J, Vajkoczy P, Capper D, Wiestler B, Weller M, Snijder B, Buck A, Weiss T, Keough MB, Ni L, Monje M, Silverbush D, Hovestadt V, Suvà ML, Krishna S, Hervey-Jumper SL, Schüller U, Heiland DH, Hänzelmann S, Ricklefs FL. Epigenetic neural glioblastoma enhances synaptic integration and predicts therapeutic vulnerability. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.04.552017. [PMID: 37609137 PMCID: PMC10441357 DOI: 10.1101/2023.08.04.552017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Neural-tumor interactions drive glioma growth as evidenced in preclinical models, but clinical validation is nascent. We present an epigenetically defined neural signature of glioblastoma that independently affects patients' survival. We use reference signatures of neural cells to deconvolve tumor DNA and classify samples into low- or high-neural tumors. High-neural glioblastomas exhibit hypomethylated CpG sites and upregulation of genes associated with synaptic integration. Single-cell transcriptomic analysis reveals high abundance of stem cell-like malignant cells classified as oligodendrocyte precursor and neural precursor cell-like in high-neural glioblastoma. High-neural glioblastoma cells engender neuron-to-glioma synapse formation in vitro and in vivo and show an unfavorable survival after xenografting. In patients, a high-neural signature associates with decreased survival as well as increased functional connectivity and can be detected via DNA analytes and brain-derived neurotrophic factor in plasma. Our study presents an epigenetically defined malignant neural signature in high-grade gliomas that is prognostically relevant.
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Affiliation(s)
- Richard Drexler
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department of Neurology, Stanford University, Stanford, CA, 94305, USA
| | - Robin Khatri
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Thomas Sauvigny
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Malte Mohme
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Cecile L. Maire
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Alice Ryba
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Yahya Zghaibeh
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Lasse Dührsen
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Amanda Salviano-Silva
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Katrin Lamszus
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Manfred Westphal
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Gempt
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Annika K. Wefers
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Mildred Scheel Cancer Career Center HaTriCS4, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Julia Neumann
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department of Pediatric Hematology and Oncology, Research Institute Children’s Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Research Institute Children’s Cancer Center Hamburg, Hamburg, Germany
| | - Helena Bode
- Research Institute Children’s Cancer Center Hamburg, Hamburg, Germany
| | - Fabian Hausmann
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Tobias B. Huber
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stefan Bonn
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Kerstin Jütten
- Department of Neurosurgery, University Hospital Aachen, Aachen, Germany
| | - Daniel Delev
- Department of Neurosurgery, University Hospital Aachen, Aachen, Germany
| | - Katharina J. Weber
- Neurological Institute (Edinger Institute), University Hospital Frankfurt, Frankfurt am Main, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Frankfurt Cancer Institute (FCI), Frankfurt am Main, Germany
- University Cancer Center (UCT) Frankfurt, Frankfurt am Main, Germany
| | - Patrick N. Harter
- Neurological Institute (Edinger Institute), University Hospital Frankfurt, Frankfurt am Main, Germany
- Institute of Neuropathology, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Julia Onken
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Peter Vajkoczy
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - David Capper
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Benedikt Wiestler
- Department of Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technical University Munich, Munich
| | - Michael Weller
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich, Switzerland. Department of Neurology, University of Zürich, Switzerland
| | - Berend Snijder
- Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | - Alicia Buck
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich, Switzerland. Department of Neurology, University of Zürich, Switzerland
| | - Tobias Weiss
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich, Switzerland. Department of Neurology, University of Zürich, Switzerland
| | - Michael B. Keough
- Department of Neurology, Stanford University, Stanford, CA, 94305, USA
| | - Lijun Ni
- Department of Neurology, Stanford University, Stanford, CA, 94305, USA
| | - Michelle Monje
- Department of Neurology, Stanford University, Stanford, CA, 94305, USA
| | | | | | - Mario L. Suvà
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
| | - Saritha Krishna
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, 94143, USA
| | - Shawn L. Hervey-Jumper
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, 94143, USA
| | - Ulrich Schüller
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department of Pediatric Hematology and Oncology, Research Institute Children’s Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Research Institute Children’s Cancer Center Hamburg, Hamburg, Germany
| | - Dieter H. Heiland
- Department of Neurosurgery, Medical Center University of Freiburg, Freiburg, Germany
| | - Sonja Hänzelmann
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Franz L. Ricklefs
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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16
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Wichmann M, Maire CL, Nuppenau N, Habiballa M, Uhde A, Kolbe K, Schröder T, Lamszus K, Fehse B, Głów D. Deep Characterization and Comparison of Different Retrovirus-like Particles Preloaded with CRISPR/Cas9 RNPs. Int J Mol Sci 2023; 24:11399. [PMID: 37511168 PMCID: PMC10380221 DOI: 10.3390/ijms241411399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 07/07/2023] [Accepted: 07/10/2023] [Indexed: 07/30/2023] Open
Abstract
The CRISPR/Cas system has a broad range of possible medical applications, but its clinical translation has been hampered, particularly by the lack of safe and efficient vector systems mediating the short-term expression of its components. Recently, different virus-like particles (VLPs) have been introduced as promising vectors for the delivery of CRISPR/Cas genome editing components. Here, we characterized and directly compared three different types of retrovirus-based (R) VLPs, two derived from the γ-retrovirus murine leukemia virus (gRVLPs and "enhanced" egRVLPs) and one from the lentivirus human immunodeficiency virus, HIV (LVLPs). First, we unified and optimized the production of the different RVLPs. To ensure maximal comparability of the produced RVLPs, we adapted several assays, including nanoparticle tracking analysis (NTA), multi-parametric imaging flow cytometry (IFC), and Cas9-ELISA, to analyze their morphology, surface composition, size, and concentration. Next, we comparatively tested the three RVLPs targeting different genes in 293T model cells. Using identical gRNAs, we found egRVLPs to mediate the most efficient editing. Functional analyses indicated better cargo (i.e., Cas9) transfer and/or release as the underlying reason for their superior performance. Finally, we compared on- and off-target activities of the three RVLPs in human-induced pluripotent stem cells (hiPSC) exploiting the clinically relevant C-C motif chemokine receptor 5 (CCR5) as the target. Again, egRVLPs facilitated the highest, almost 100% knockout rates, importantly with minimal off-target activity. In conclusion, in direct comparison, egRVLPs were the most efficient RVLPs. Moreover, we established methods for in-depth characterization of VLPs, facilitating their validation and thus more predictable and safe application.
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Affiliation(s)
- Max Wichmann
- Research Department Cell and Gene Therapy, Department of Stem Cell Transplantation, University Medical Centre Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany
| | - Cecile L Maire
- Department of Neurosurgery, University Medical Centre Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany
| | - Niklas Nuppenau
- Research Department Cell and Gene Therapy, Department of Stem Cell Transplantation, University Medical Centre Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany
| | - Moataz Habiballa
- Institute of Neuroanatomy, University Medical Centre Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany
| | - Almut Uhde
- Research Department Cell and Gene Therapy, Department of Stem Cell Transplantation, University Medical Centre Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany
| | - Katharina Kolbe
- Department of Neurosurgery, University Medical Centre Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany
| | - Tanja Schröder
- Research Department Cell and Gene Therapy, Department of Stem Cell Transplantation, University Medical Centre Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany
| | - Katrin Lamszus
- Department of Neurosurgery, University Medical Centre Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany
| | - Boris Fehse
- Research Department Cell and Gene Therapy, Department of Stem Cell Transplantation, University Medical Centre Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany
- German Center for Infection Research (DZIF), Partner Site Hamburg-Lübeck-Borstel-Riems, 20246 Hamburg, Germany
| | - Dawid Głów
- Research Department Cell and Gene Therapy, Department of Stem Cell Transplantation, University Medical Centre Hamburg-Eppendorf (UKE), 20246 Hamburg, Germany
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17
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Hellmold D, Kubelt C, Daunke T, Beckinger S, Janssen O, Hauck M, Schütt F, Adelung R, Lucius R, Haag J, Sebens S, Synowitz M, Held-Feindt J. Sequential Treatment with Temozolomide Plus Naturally Derived AT101 as an Alternative Therapeutic Strategy: Insights into Chemoresistance Mechanisms of Surviving Glioblastoma Cells. Int J Mol Sci 2023; 24:ijms24109075. [PMID: 37240419 DOI: 10.3390/ijms24109075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 05/16/2023] [Accepted: 05/18/2023] [Indexed: 05/28/2023] Open
Abstract
Glioblastoma (GBM) is a poorly treatable disease due to the fast development of tumor recurrences and high resistance to chemo- and radiotherapy. To overcome the highly adaptive behavior of GBMs, especially multimodal therapeutic approaches also including natural adjuvants have been investigated. However, despite increased efficiency, some GBM cells are still able to survive these advanced treatment regimens. Given this, the present study evaluates representative chemoresistance mechanisms of surviving human GBM primary cells in a complex in vitro co-culture model upon sequential application of temozolomide (TMZ) combined with AT101, the R(-) enantiomer of the naturally occurring cottonseed-derived gossypol. Treatment with TMZ+AT101/AT101, although highly efficient, yielded a predominance of phosphatidylserine-positive GBM cells over time. Analysis of the intracellular effects revealed phosphorylation of AKT, mTOR, and GSK3ß, resulting in the induction of various pro-tumorigenic genes in surviving GBM cells. A Torin2-mediated mTOR inhibition combined with TMZ+AT101/AT101 partly counteracted the observed TMZ+AT101/AT101-associated effects. Interestingly, treatment with TMZ+AT101/AT101 concomitantly changed the amount and composition of extracellular vesicles released from surviving GBM cells. Taken together, our analyses revealed that even when chemotherapeutic agents with different effector mechanisms are combined, a variety of chemoresistance mechanisms of surviving GBM cells must be taken into account.
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Affiliation(s)
- Dana Hellmold
- Department of Neurosurgery, University Medical Center Schleswig-Holstein UKSH, Campus Kiel, 24105 Kiel, Germany
| | - Carolin Kubelt
- Department of Neurosurgery, University Medical Center Schleswig-Holstein UKSH, Campus Kiel, 24105 Kiel, Germany
| | - Tina Daunke
- Institute of Experimental Cancer Research, University Medical Center Schleswig-Holstein UKSH, Campus Kiel, 24105 Kiel, Germany
| | - Silje Beckinger
- Institute of Experimental Cancer Research, University Medical Center Schleswig-Holstein UKSH, Campus Kiel, 24105 Kiel, Germany
| | - Ottmar Janssen
- Institute for Immunology, University Medical Center Schleswig-Holstein UKSH, Campus Kiel, 24105 Kiel, Germany
| | - Margarethe Hauck
- Functional Nanomaterials, Department of Materials Science, Kiel University, 24143 Kiel, Germany
| | - Fabian Schütt
- Functional Nanomaterials, Department of Materials Science, Kiel University, 24143 Kiel, Germany
| | - Rainer Adelung
- Functional Nanomaterials, Department of Materials Science, Kiel University, 24143 Kiel, Germany
| | - Ralph Lucius
- Institute of Anatomy, Kiel University, 24098 Kiel, Germany
| | - Jochen Haag
- Department of Pathology, Kiel University, 24105 Kiel, Germany
| | - Susanne Sebens
- Institute of Experimental Cancer Research, University Medical Center Schleswig-Holstein UKSH, Campus Kiel, 24105 Kiel, Germany
| | - Michael Synowitz
- Department of Neurosurgery, University Medical Center Schleswig-Holstein UKSH, Campus Kiel, 24105 Kiel, Germany
| | - Janka Held-Feindt
- Department of Neurosurgery, University Medical Center Schleswig-Holstein UKSH, Campus Kiel, 24105 Kiel, Germany
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18
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Wang Z, Chen G, Wang S, Su X. Three-dimensional deep regression-based light scattering imaging system for nanoscale exosome analysis. BIOMEDICAL OPTICS EXPRESS 2023; 14:2055-2067. [PMID: 37206116 PMCID: PMC10191644 DOI: 10.1364/boe.483791] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 01/27/2023] [Accepted: 02/11/2023] [Indexed: 05/21/2023]
Abstract
Exosomes are extracellular vesicles that serve as promising intrinsic nanoscale biomarkers for disease diagnosis and treatment. Nanoparticle analysis technology is widely used in the field of exosome study. However, the common particle analysis methods are usually complex, subjective, and not robust. Here, we develop a three-dimensional (3D) deep regression-based light scattering imaging system for nanoscale particle analysis. Our system solves the problem of object focusing in common methods and acquires light scattering images of label-free nanoparticles as small as 41 nm in diameter. We develop a new method for nanoparticle sizing with 3D deep regression, where the 3D time series Brownian motion data of single nanoparticles are input as a whole, and sizes are output automatically for both entangled and untangled nanoparticles. Exosomes from the normal and cancer liver cell lineage cells are observed and automatically differentiated by our system. The 3D deep regression-based light scattering imaging system is expected to be widely used in the field of nanoparticle analysis and nanomedicine.
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Affiliation(s)
- Zhuo Wang
- School of Microelectronics, Shandong University, Jinan, 250101, China
- Institute of Biomedical Engineering, School of Control Science and Engineering, Shandong University, Jinan, 250061, China
| | - Gao Chen
- School of Microelectronics, Shandong University, Jinan, 250101, China
| | - Shuanglian Wang
- Department of Physiology, School of Medicine, Shandong University, Jinan, 250012, China
| | - Xuantao Su
- School of Microelectronics, Shandong University, Jinan, 250101, China
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19
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Qiu L, Liu X, Zhu L, Luo L, Sun N, Pei R. Current Advances in Technologies for Single Extracellular Vesicle Analysis and Its Clinical Applications in Cancer Diagnosis. BIOSENSORS 2023; 13:129. [PMID: 36671964 PMCID: PMC9856491 DOI: 10.3390/bios13010129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 12/31/2022] [Accepted: 01/10/2023] [Indexed: 06/17/2023]
Abstract
Extracellular vesicles (EVs) have been regarded as one of the most potential diagnostic biomarkers for different cancers, due to their unique physiological and pathological functions. However, it is still challenging to precisely analyze the contents and sources of EVs, due to their heterogeneity. Herein, we summarize the advances in technologies for a single EV analysis, which may provide new strategies to study the heterogeneity of EVs, as well as their cargo, more specifically. Furthermore, the applications of a single EV analysis on cancer early diagnosis are also discussed.
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Affiliation(s)
- Lei Qiu
- Department of Chemistry, College of Sciences, Shanghai University, Shanghai 200444, China
- Key Laboratory for Nano-Bio Interface, Division of Nanobiomedicine, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China
| | - Xingzhu Liu
- Key Laboratory for Nano-Bio Interface, Division of Nanobiomedicine, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China
| | - Libo Zhu
- Key Laboratory for Nano-Bio Interface, Division of Nanobiomedicine, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China
| | - Liqiang Luo
- Department of Chemistry, College of Sciences, Shanghai University, Shanghai 200444, China
| | - Na Sun
- Key Laboratory for Nano-Bio Interface, Division of Nanobiomedicine, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, Hefei 230026, China
| | - Renjun Pei
- Key Laboratory for Nano-Bio Interface, Division of Nanobiomedicine, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, Hefei 230026, China
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20
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Ortega-Sanchez FG, Teresa V, Widmann T, Regiart M, Jerez-Salcedo MT, Fernández-Baldo MA, de Miguel-Perez D. Microfluidic systems in extracellular vesicles single analysis. A systematic review. Trends Analyt Chem 2023. [DOI: 10.1016/j.trac.2023.116920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
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21
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Aibaidula A(Z, Fain CE, Garcia LC, Wier A, Bouchal SM, Bauman MM, Jung MY, Sarkaria JN, Johnson AJ, Parney IF. Spectral flow cytometry identifies distinct nonneoplastic plasma extracellular vesicle phenotype in glioblastoma patients. Neurooncol Adv 2023; 5:vdad082. [PMID: 37638345 PMCID: PMC10457026 DOI: 10.1093/noajnl/vdad082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/29/2023] Open
Abstract
Background Glioblastoma (GBM) is the most common malignant brain tumor and has a poor prognosis. Imaging findings at diagnosis and in response to treatment are nonspecific. Developing noninvasive assays to augment imaging would be helpful. Plasma extracellular vesicles (EVs) are a promising biomarker source for this. Here, we develop spectral flow cytometry techniques that demonstrate differences in bulk plasma EV phenotype between GBM patients and normal donors that could serve as the basis of a liquid biopsy. Methods Plasma EVs were stained for EV-associated tetraspanins (CD9/CD63/CD81), markers indicating cell of origin (CD11b/CD31/CD41a/CD45), and actin/phalloidin (to exclude cell debris). EVs were analyzed using spectral flow cytometry. Multiparametric analysis using t-distributed stochastic neighbor embedding (t-SNE) and self-organizing maps on flow cytometry data (FlowSOM) was performed comparing GBM and normal donor (ND) plasma EVs. Results Size exclusion chromatography plus spectral-based flow cytometer threshold settings enriched plasma EVs while minimizing background noise. GBM patients had increased CD9+, CD63+, CD81+, and myeloid-derived (CD11b+) EVs. Multiparametric analysis demonstrated distinct surface marker expression profiles in GBM plasma EVs compared to ND EVs. Fifteen plasma EV sub-populations differing in size and surface marker expression were identified, six enriched in GBM patients and two in normal donors. Conclusions Multiparametric analysis demonstrates that GBM patients have a distinct nonneoplastic plasma EV phenotype compared to ND. This simple rapid analysis can be performed without purifying tumor EVs and may serve as the basis of a liquid biopsy.
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Affiliation(s)
- Abudumijiti (Zack) Aibaidula
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Rochester, Minnesota, USA
- Department of Neurological Surgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Cori E Fain
- Department of Immunology, Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Luz Cumba Garcia
- Department of Immunology, Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Annelise Wier
- Department of Neurological Surgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Samantha M Bouchal
- Department of Neurological Surgery, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Alix School of Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Megan M Bauman
- Department of Neurological Surgery, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Alix School of Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Mi-Yeon Jung
- Department of Neurological Surgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Jann N Sarkaria
- Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota, USA
| | - Aaron J Johnson
- Department of Immunology, Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Ian F Parney
- Department of Neurological Surgery, Mayo Clinic, Rochester, Minnesota, USA
- Department of Immunology, Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Rochester, Minnesota, USA
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22
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Single-cell extracellular vesicle analysis by microfluidics and beyond. Trends Analyt Chem 2023. [DOI: 10.1016/j.trac.2023.116930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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23
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Qian F, Huang Z, Zhong H, Lei Q, Ai Y, Xie Z, Zhang T, Jiang B, Zhu W, Sheng Y, Hu J, Brinker CJ. Analysis and Biomedical Applications of Functional Cargo in Extracellular Vesicles. ACS NANO 2022; 16:19980-20001. [PMID: 36475625 DOI: 10.1021/acsnano.2c11298] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Extracellular vesicles (EVs) can facilitate essential communication among cells in a range of pathophysiological conditions including cancer metastasis and progression, immune regulation, and neuronal communication. EVs are membrane-enclosed vesicles generated through endocytic origin and contain many cellular components, including proteins, lipids, nucleic acids, and metabolites. Over the past few years, the intravesicular content of EVs has proven to be a valuable biomarker for disease diagnostics, involving cancer, cardiovascular diseases, and central nervous system diseases. This review aims to provide insight into EV biogenesis, composition, function, and isolation, present a comprehensive overview of emerging techniques for EV cargo analysis, highlighting their major technical features and limitations, and summarize the potential role of EV cargos as biomarkers in disease diagnostics. Further, progress and remaining challenges will be discussed for clinical diagnostic outlooks.
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Affiliation(s)
- Feiyang Qian
- MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou 510631, P.R. China
| | - Zena Huang
- Yunkang School of Medicine and Health, Nanfang College, Guangzhou 510970, P.R. China
| | - Hankang Zhong
- MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou 510631, P.R. China
| | - Qi Lei
- MOE International Joint Research Laboratory on Synthetic Biology and Medicines, School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, P.R. China
| | - Yiru Ai
- MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou 510631, P.R. China
| | - Zihui Xie
- MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou 510631, P.R. China
| | - Tenghua Zhang
- MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou 510631, P.R. China
| | - Bowen Jiang
- MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou 510631, P.R. China
| | - Wei Zhu
- MOE International Joint Research Laboratory on Synthetic Biology and Medicines, School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, P.R. China
| | - Yan Sheng
- MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou 510631, P.R. China
| | - Jiaming Hu
- MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou 510631, P.R. China
| | - C Jeffrey Brinker
- Center for Micro-Engineered Materials and the Department of Chemical and Biological Engineering, The University of New Mexico, Albuquerque, New Mexico 87131, United States
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24
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Schürz M, Danmayr J, Jaritsch M, Klinglmayr E, Benirschke HM, Matea C, Zimmerebner P, Rauter J, Wolf M, Gomes FG, Kratochvil Z, Heger Z, Miller A, Heuser T, Stanojlovic V, Kiefer J, Plank T, Johnson L, Himly M, Blöchl C, Huber CG, Hintersteiner M, Meisner‐Kober N. EVAnalyzer: High content imaging for rigorous characterisation of single extracellular vesicles using standard laboratory equipment and a new open-source ImageJ/Fiji plugin. J Extracell Vesicles 2022; 11:e12282. [PMID: 36437554 PMCID: PMC9702573 DOI: 10.1002/jev2.12282] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Revised: 11/03/2022] [Accepted: 11/07/2022] [Indexed: 11/30/2022] Open
Abstract
Extracellular vesicle (EV) research increasingly demands for quantitative characterisation at the single vesicle level to address heterogeneity and complexity of EV subpopulations. Emerging, commercialised technologies for single EV analysis based on, for example, imaging flow cytometry or imaging after capture on chips generally require dedicated instrumentation and proprietary software not readily accessible to every lab. This limits their implementation for routine EV characterisation in the rapidly growing EV field. We and others have shown that single vesicles can be detected as light diffraction limited fluorescent spots using standard confocal and widefield fluorescence microscopes. Advancing this simple strategy into a process for routine EV quantitation, we developed 'EVAnalyzer', an ImageJ/Fiji (Fiji is just ImageJ) plugin for automated, quantitative single vesicle analysis from imaging data. Using EVAnalyzer, we established a robust protocol for capture, (immuno-)labelling and fluorescent imaging of EVs. To exemplify the application scope, the process was optimised and systematically tested for (i) quantification of EV subpopulations, (ii) validation of EV labelling reagents, (iii) in situ determination of antibody specificity, sensitivity and species cross-reactivity for EV markers and (iv) optimisation of genetic EV engineering. Additionally, we show that the process can be applied to synthetic nanoparticles, allowing to determine siRNA encapsulation efficiencies of lipid-based nanoparticles (LNPs) and protein loading of SiO2 nanoparticles. EVAnalyzer further provides a pipeline for automated quantification of cell uptake at the single cell-single vesicle level, thereby enabling high content EV cell uptake assays and plate-based screens. Notably, the entire procedure from sample preparation to the final data output is entirely based on standard reagents, materials, laboratory equipment and open access software. In summary, we show that EVAnalyzer enables rigorous characterisation of EVs with generally accessible tools. Since we further provide the plugin as open-source code, we expect EVAnalyzer to not only be a resource of immediate impact, but an open innovation platform for the EV and nanoparticle research communities.
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Affiliation(s)
- Melanie Schürz
- Department of Biosciences and Medical BiologyParis Lodron University SalzburgSalzburgAustria
| | - Joachim Danmayr
- Department of Informatics and MathematicsFernuniversität HagenHagenGermany
| | - Maria Jaritsch
- Department of Biosciences and Medical BiologyParis Lodron University SalzburgSalzburgAustria
| | - Eva Klinglmayr
- Department of Biosciences and Medical BiologyParis Lodron University SalzburgSalzburgAustria
| | - Heloisa Melo Benirschke
- Department of Biosciences and Medical BiologyParis Lodron University SalzburgSalzburgAustria
| | - Cristian‐Tudor Matea
- Department of Biosciences and Medical BiologyParis Lodron University SalzburgSalzburgAustria
| | - Patrick Zimmerebner
- Department of Biosciences and Medical BiologyParis Lodron University SalzburgSalzburgAustria
| | - Jakob Rauter
- Department of Biosciences and Medical BiologyParis Lodron University SalzburgSalzburgAustria
| | - Martin Wolf
- Cell Therapy Institute, Spinal Cord Injury and Tissue Regeneration Centre Salzburg (SCI‐TReCS)Paracelsus Medical University (PMU)SalzburgAustria
| | - Fausto Gueths Gomes
- Cell Therapy Institute, Spinal Cord Injury and Tissue Regeneration Centre Salzburg (SCI‐TReCS)Paracelsus Medical University (PMU)SalzburgAustria
| | - Zdenek Kratochvil
- Department of Chemistry and BiochemistryMendel University in BrnoBrnoCzech Republic
| | - Zbynek Heger
- Department of Chemistry and BiochemistryMendel University in BrnoBrnoCzech Republic
| | - Andrew Miller
- Department of Chemistry and BiochemistryMendel University in BrnoBrnoCzech Republic
- Veterinary Research InstituteBrnoCzech Republic
- KP Therapeutics (Europe) sro.BrnoCzech Republic
| | | | - Vesna Stanojlovic
- Department of Biosciences and Medical BiologyParis Lodron University SalzburgSalzburgAustria
| | - Jana Kiefer
- Department of Biosciences and Medical BiologyParis Lodron University SalzburgSalzburgAustria
| | - Tanja Plank
- Department of Biosciences and Medical BiologyParis Lodron University SalzburgSalzburgAustria
| | - Litty Johnson
- Department of Biosciences and Medical BiologyParis Lodron University SalzburgSalzburgAustria
| | - Martin Himly
- Department of Biosciences and Medical BiologyParis Lodron University SalzburgSalzburgAustria
| | - Constantin Blöchl
- Department of Biosciences and Medical BiologyParis Lodron University SalzburgSalzburgAustria
| | - Christian G. Huber
- Department of Biosciences and Medical BiologyParis Lodron University SalzburgSalzburgAustria
| | | | - Nicole Meisner‐Kober
- Department of Biosciences and Medical BiologyParis Lodron University SalzburgSalzburgAustria
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25
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Ghauri MS, Reddy AJ, Tabaie E, Issagholian L, Brahmbhatt T, Seo Y, Dang A, Nawathey N, Bachir A, Patel R. Evaluating the Utilization of Ethylenediaminetetraacetic Acid as a Treatment Supplement for Gliomas. Cureus 2022; 14:e31617. [DOI: 10.7759/cureus.31617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/17/2022] [Indexed: 11/18/2022] Open
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26
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Batool SM, Hsia T, Khanna SK, Gamblin AS, Rosenfeld Y, You DG, Carter BS, Balaj L. Decoding vesicle-based precision oncology in gliomas. Neurooncol Adv 2022; 4:ii53-ii60. [PMID: 36380860 PMCID: PMC9650467 DOI: 10.1093/noajnl/vdac035] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Extracellular vesicles (EVs) represent a valuable tool in liquid biopsy with tremendous clinical potential in diagnosis, prognosis, and therapeutic monitoring of gliomas. Compared to tissue biopsy, EV-based liquid biopsy is a low-cost, minimally invasive method that can provide information on tumor dynamics before, during, and after treatment. Tumor-derived EVs circulating in biofluids carry a complex cargo of molecular biomarkers, including DNA, RNA, and proteins, which can be indicative of tumor growth and progression. Here, we briefly review current commercial and noncommercial methods for the isolation, quantification, and biochemical characterization of plasma EVs from patients with glioma, touching on whole EV analysis, mutation detection techniques, and genomic and proteomic profiling. We review notable advantages and disadvantages of plasma EV isolation and analytical methods, and we conclude with a discussion on clinical translational opportunities and key challenges associated with the future implementation of EV-based liquid biopsy for glioma treatment.
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Affiliation(s)
| | | | - Sirena K Khanna
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Austin S Gamblin
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Yulia Rosenfeld
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Dong Gil You
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, USA
| | | | - Leonora Balaj
- Corresponding Author: Leonora Balaj, PhD, Department of Neurosurgery, Massachusetts General Hospital, 185 Cambridge St., Boston, MA 02114, USA ()
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27
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Westphal, M, Pantel K, Ricklefs FL, Maire C, Riethdorf S, Mohme M, Wikman H, Lamszus K. Circulating tumor cells and extracellular vesicles as liquid biopsy markers in neuro-oncology: prospects and limitations. Neurooncol Adv 2022; 4:ii45-ii52. [PMID: 36380859 PMCID: PMC9650476 DOI: 10.1093/noajnl/vdac015] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
For many tumor entities, tumor biology and response to therapy are reflected by components that can be detected and captured in the blood stream. The so called “liquid biopsy” has been stratified over time into the analysis of circulating tumor cells (CTC), extracellular vesicles (EVs), and free circulating components such as cell-free nucleic acids or proteins. In neuro-oncology, two distinct areas need to be distinguished, intrinsic brain tumors and tumors metastatic to the brain. For intrinsic brain tumors, specifically glioblastoma, CTCs although present in low abundance, contain highly relevant, yet likely incomplete biological information for the whole tumor. For brain metastases, CTCs can have clinical relevance for patients especially with oligometastatic disease and brain metastasis in cancers like breast and lung cancer. EVs shed from the tumor cells and the tumor environment provide complementary information. Sensitive technologies have become available that are able to detect both, CTCs and EVs in the peripheral blood of patients with intrinsic and metastatic brain tumors despite the blood brain barrier. In reference to glioblastoma EVs, being shed by tumor cells and microenvironment and being more diffusible than CTCs may yield a more complete reflection of the whole tumor compared to low-abundance CTCs representing only a fraction of the multiclonal tumor heterogeneity. We here review the emerging aspects of CTCs and EVs as liquid biopsy biomarkers in neuro-oncology.
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Affiliation(s)
- Manfred Westphal,
- Department of Neurosurgery, Hans-Dietrich Herrmann Laboratory for Brain Tumor Research , Hamburg , Germany
| | - Klaus Pantel
- Institute for Tumor Biology, University of Hamburg Medical Center Eppendorf , Hamburg , Germany
| | - Franz L Ricklefs
- Department of Neurosurgery, Hans-Dietrich Herrmann Laboratory for Brain Tumor Research , Hamburg , Germany
| | - Cecile Maire
- Department of Neurosurgery, Hans-Dietrich Herrmann Laboratory for Brain Tumor Research , Hamburg , Germany
| | - Sabine Riethdorf
- Institute for Tumor Biology, University of Hamburg Medical Center Eppendorf , Hamburg , Germany
| | - Malte Mohme
- Department of Neurosurgery, Hans-Dietrich Herrmann Laboratory for Brain Tumor Research , Hamburg , Germany
| | - Harriet Wikman
- Institute for Tumor Biology, University of Hamburg Medical Center Eppendorf , Hamburg , Germany
| | - Katrin Lamszus
- Department of Neurosurgery, Hans-Dietrich Herrmann Laboratory for Brain Tumor Research , Hamburg , Germany
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28
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Hsia T, Yekula A, Batool SM, Rosenfeld YB, You DG, Weissleder R, Lee H, Carter BS, Balaj L. Glioblastoma-derived extracellular vesicle subpopulations following 5-aminolevulinic acid treatment bear diagnostic implications. J Extracell Vesicles 2022; 11:e12278. [PMID: 36404434 PMCID: PMC9676504 DOI: 10.1002/jev2.12278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 09/13/2022] [Accepted: 10/17/2022] [Indexed: 11/22/2022] Open
Abstract
Liquid biopsy is a minimally invasive alternative to surgical biopsy, encompassing different analytes including extracellular vesicles (EVs), circulating tumour cells (CTCs), circulating tumour DNA (ctDNA), proteins, and metabolites. EVs are released by virtually all cells, but at a higher rate by faster cycling, malignant cells. They encapsulate cargo native to the originating cell and can thus provide a window into the tumour landscape. EVs are often analysed in bulk which hinders the analysis of rare, tumour-specific EV subpopulations from the large host EV background. Here, we fractionated EV subpopulations in vitro and in vivo and characterized their phenotype and generic cargo. We used 5-aminolevulinic acid (5-ALA) to induce release of endogenously fluorescent tumour-specific EVs (EVPpIX ). Analysis of five different subpopulations (EVPpIX , EVCD63 , EVCD9 , EVEGFR , EVCFDA ) from glioblastoma (GBM) cell lines revealed unique transcriptome profiles, with the EVPpIX transcriptome demonstrating closer alignment to tumorigenic processes over the other subpopulations. Similarly, isolation of tumour-specific EVs from GBM patient plasma showed enrichment in GBM-associated genes, when compared to bulk EVs from plasma. We propose that fractionation of EV populations facilitates detection and isolation of tumour-specific EVs for disease monitoring.
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Affiliation(s)
- Tiffaney Hsia
- Department of NeurosurgeryMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Anudeep Yekula
- Department of NeurosurgeryMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - S. Maheen Batool
- Department of NeurosurgeryMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Yulia B. Rosenfeld
- Department of NeurosurgeryMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Dong Gil You
- Department of NeurosurgeryMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
- Center for Systems BiologyMassachusetts General HospitalBostonMassachusettsUSA
| | - Ralph Weissleder
- Center for Systems BiologyMassachusetts General HospitalBostonMassachusettsUSA
- Department of RadiologyMassachusetts General HospitalBostonMassachusettsUSA
| | - Hakho Lee
- Center for Systems BiologyMassachusetts General HospitalBostonMassachusettsUSA
- Department of RadiologyMassachusetts General HospitalBostonMassachusettsUSA
| | - Bob S. Carter
- Department of NeurosurgeryMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Leonora Balaj
- Department of NeurosurgeryMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
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29
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Jennrich S, Pelzer M, Tertel T, Koska B, Vüllings M, Thakur BK, Jendrossek V, Timmermann B, Giebel B, Rudner J. CD9- and CD81-positive extracellular vesicles provide a marker to monitor glioblastoma cell response to photon-based and proton-based radiotherapy. Front Oncol 2022; 12:947439. [PMID: 36203458 PMCID: PMC9530604 DOI: 10.3389/fonc.2022.947439] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 08/26/2022] [Indexed: 11/13/2022] Open
Abstract
Glioblastoma multiforme (GBM) is the most aggressive tumor of the central nervous system with a poor prognosis. In the treatment of GBM tumors, radiotherapy plays a major role. Typically, GBM tumors cannot be cured by irradiation because of intrinsic resistance machanisms. An escalation of the irradiation dose in the GBM tumor is difficult due to the high risk of severe side effects in the brain. In the last decade, the development of new irradiation techniques, including proton-based irradiation, promised new chances in the treatment of brain tumors. In contrast to conventional radiotherapy, irradiation with protons allows a dosimetrically more confined dose deposition in the tumor while better sparing the normal tissue surrounding the tumor. A systematic comparison of both irradiation techniques on glioblastoma cells has not been performed so far. Despite the improvements in radiotherapy, it remains challenging to predict the therapeutical response of GBM tumors. Recent publications suggest extracellular vesicles (EVs) as promising markers predicting tumor response. Being part of an ancient intercellular communication system, virtually all cells release specifically composed EVs. The assembly of EVs varies between cell types and depends on environmental parameters. Here, we compared the impact of photon-based with proton-based radiotherapy on cell viability and phenotype of four different glioblastoma cell lines. Furthermore, we characterized EVs released by different glioblastoma cells and correlated released EVs with the cellular response to radiotherapy. Our results demonstrated that glioblastoma cells reacted more sensitive to irradiation with protons than photons, while radiation-induced cell death 72 h after single dose irradiation was independent of the irradiation modality. Moreover, we detected CD9 and CD81-positive EVs in the supernatant of all glioblastoma cells, although at different concentrations. The amount of released CD9 and CD81-positive EVs increased after irradiation when cells became apoptotic. Although secreted EVs of non-irradiated cells were not predictive for radiosensitivity, their increased EV release after irradiation correlated with the cytotoxic response to radiotherapy 72 h after irradiation. Thus, our data suggest a novel application of EVs in the surveillance of anti-cancer therapies.
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Affiliation(s)
- Sara Jennrich
- Institute of Cell Biology (Cancer Research), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Martin Pelzer
- Institute of Cell Biology (Cancer Research), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Tobias Tertel
- Institute for Transfusion Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Benjamin Koska
- West German Proton Therapy Centre Essen (WPE), West German Cancer Center (WTZ), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Melanie Vüllings
- West German Proton Therapy Centre Essen (WPE), West German Cancer Center (WTZ), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Basant Kumar Thakur
- Department of Pediatrics III, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Verena Jendrossek
- Institute of Cell Biology (Cancer Research), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Beate Timmermann
- West German Proton Therapy Centre Essen (WPE), West German Cancer Center (WTZ), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Bernd Giebel
- Institute for Transfusion Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Justine Rudner
- Institute of Cell Biology (Cancer Research), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- *Correspondence: Justine Rudner,
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30
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Chen F, Xu Y, Shi K, Zhang Z, Xie Z, Wu H, Ma Y, Zhou Y, Chen C, Yang J, Wang Y, Robbins TW, Wang K, Yu J. Multi-omics study reveals associations among neurotransmitter, extracellular vesicle-derived microRNA and psychiatric comorbidities during heroin and methamphetamine withdrawal. Biomed Pharmacother 2022; 155:113685. [PMID: 36137407 DOI: 10.1016/j.biopha.2022.113685] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 08/31/2022] [Accepted: 09/07/2022] [Indexed: 11/02/2022] Open
Abstract
Despite decades of research in the field of substance withdrawal, molecular biomarkers and related mechanistic study have generally been lacking. In addition to known neurotransmitters, circulating miRNAs are found in small vesicles known as exosomes within blood that have diagnostic potential and are known to contribute to psychiatric disorders. The aim of this work was to characterize the changes in neurotransmitter and exosomal miRNA profiles during heroin and methamphetamine withdrawal using a cross-sectional study design, and to determine their associations to psychiatric comorbidities in a large group of patients with substance use disorders (SUDs). Using weighted gene co-expression network analysis, a series of known, conserved, and novel exosomal miRNAs were identified as being associated with the severity of anxiety and depression, as well as the concentrations of neurotransmitters GABA, choline, and serotonin. Bioinformatics analyses established that the differences in the miRNA profile target signaling pathways are significantly associated with developmental and intellectual abnormalities. Notably, a set of dysregulated miRNA signatures including hsa-mia-451a and hsa-mir-21a resulted in an AUC of 0.966 and 0.861, respectively, for predicting the patients with SUDs. Furthermore, hsa-miR-744a-5p was positively correlated with serotonin, and its important role in maintaining neuronal development and function was revealed using an in vitro human induced pluripotent stem cells derived neuronal model. Our results suggest that the miRNA content of circulating exosomes represent a biomolecular "fingerprint" of the progression of substance withdrawal and may uncover the putative mechanism of how these exosomal miRNAs contribute to psychiatric symptoms.
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Affiliation(s)
- Fengrong Chen
- NHC Key Laboratory of Drug Addiction Medicine (Kunming Medical University), First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China; School of Medicine, Kunming University of Science and Technology
| | - Yu Xu
- NHC Key Laboratory of Drug Addiction Medicine (Kunming Medical University), First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China
| | - Kai Shi
- College of Science, Guilin University of Technology, Guilin 541004, China
| | - Zunyue Zhang
- NHC Key Laboratory of Drug Addiction Medicine (Kunming Medical University), First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China; School of Medicine, Yunnan University, Yunnan, China
| | - Zhenrong Xie
- NHC Key Laboratory of Drug Addiction Medicine (Kunming Medical University), First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China; Centre for Experimental Studies and Research, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China
| | - Hongjin Wu
- NHC Key Laboratory of Drug Addiction Medicine (Kunming Medical University), First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China; Centre for Experimental Studies and Research, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China
| | - Yuru Ma
- NHC Key Laboratory of Drug Addiction Medicine (Kunming Medical University), First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China; Centre for Experimental Studies and Research, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China
| | - Yong Zhou
- NHC Key Laboratory of Drug Addiction Medicine (Kunming Medical University), First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China; Centre for Experimental Studies and Research, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China
| | - Cheng Chen
- NHC Key Laboratory of Drug Addiction Medicine (Kunming Medical University), First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China; Centre for Experimental Studies and Research, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China
| | - Jiqing Yang
- NHC Key Laboratory of Drug Addiction Medicine (Kunming Medical University), First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China; Centre for Experimental Studies and Research, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China
| | - Yuan Wang
- Department of R&D, Echo Biotech Co., Ltd, Beijing, China
| | - Trevor W Robbins
- Department of Psychology and the Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Kunhua Wang
- NHC Key Laboratory of Drug Addiction Medicine (Kunming Medical University), First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China; School of Medicine, Yunnan University, Yunnan, China; Centre for Experimental Studies and Research, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China.
| | - Juehua Yu
- NHC Key Laboratory of Drug Addiction Medicine (Kunming Medical University), First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China; Centre for Experimental Studies and Research, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China.
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31
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Visan KS, Lobb RJ, Ham S, Lima LG, Palma C, Edna CPZ, Wu L, Gowda H, Datta KK, Hartel G, Salomon C, Möller A. Comparative analysis of tangential flow filtration and ultracentrifugation, both combined with subsequent size exclusion chromatography, for the isolation of small extracellular vesicles. J Extracell Vesicles 2022; 11:e12266. [PMID: 36124834 PMCID: PMC9486818 DOI: 10.1002/jev2.12266] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 07/15/2022] [Accepted: 09/05/2022] [Indexed: 11/07/2022] Open
Abstract
Small extracellular vesicles (sEVs) provide major promise for advances in cancer diagnostics, prognostics, and therapeutics, ascribed to their distinctive cargo reflective of pathophysiological status, active involvement in intercellular communication, as well as their ubiquity and stability in bodily fluids. As a result, the field of sEV research has expanded exponentially. Nevertheless, there is a lack of standardisation in methods for sEV isolation from cells grown in serum-containing media. The majority of researchers use serum-containing media for sEV harvest and employ ultracentrifugation as the primary isolation method. Ultracentrifugation is inefficient as it is devoid of the capacity to isolate high sEV yields without contamination of non-sEV materials or disruption of sEV integrity. We comprehensively evaluated a protocol using tangential flow filtration and size exclusion chromatography to isolate sEVs from a variety of human and murine cancer cell lines, including HeLa, MDA-MB-231, EO771 and B16F10. We directly compared the performance of traditional ultracentrifugation and tangential flow filtration methods, that had undergone further purification by size exclusion chromatography, in their capacity to separate sEVs, and rigorously characterised sEV properties using multiple quantification devices, protein analyses and both image and nano-flow cytometry. Ultracentrifugation and tangential flow filtration both enrich consistent sEV populations, with similar size distributions of particles ranging up to 200 nm. However, tangential flow filtration exceeds ultracentrifugation in isolating significantly higher yields of sEVs, making it more suitable for large-scale research applications. Our results demonstrate that tangential flow filtration is a reliable and robust sEV isolation approach that surpasses ultracentrifugation in yield, reproducibility, time, costs and scalability. These advantages allow for implementation in comprehensive research applications and downstream investigations.
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Affiliation(s)
- Kekoolani S. Visan
- Tumour Microenvironment LaboratoryQIMR Berghofer Medical Research InstituteHerstonQLDAustralia
| | - Richard J. Lobb
- Tumour Microenvironment LaboratoryQIMR Berghofer Medical Research InstituteHerstonQLDAustralia
- Centre for Personalized NanomedicineAustralian Institute for Bioengineering and Nanotechnology (AIBN)The University of QueenslandBrisbaneQLDAustralia
| | - Sunyoung Ham
- Tumour Microenvironment LaboratoryQIMR Berghofer Medical Research InstituteHerstonQLDAustralia
| | - Luize G. Lima
- Tumour Microenvironment LaboratoryQIMR Berghofer Medical Research InstituteHerstonQLDAustralia
| | - Carlos Palma
- Exosome Biology LaboratoryFaculty of Medicine and Biomedical SciencesCentre for Clinical DiagnosticsUniversity of Queensland Centre for Clinical ResearchRoyal Brisbane and Women's HospitalThe University of QueenslandBrisbaneQLDAustralia
| | - Chai Pei Zhi Edna
- Tumour Microenvironment LaboratoryQIMR Berghofer Medical Research InstituteHerstonQLDAustralia
| | - Li‐Ying Wu
- Tumour Microenvironment LaboratoryQIMR Berghofer Medical Research InstituteHerstonQLDAustralia
- School of Biomedical Sciences, Faculty of HealthQueensland University of TechnologyBrisbaneQLD4059Australia
| | - Harsha Gowda
- Cancer Precision Medicine LaboratoryQIMR Berghofer Medical Research InstituteHerstonQLDAustralia
| | - Keshava K. Datta
- Cancer Precision Medicine LaboratoryQIMR Berghofer Medical Research InstituteHerstonQLDAustralia
- Proteomics and Metabolomics PlatformLa Trobe UniversityBundooraVICAustralia
| | - Gunter Hartel
- Statistics UnitQIMR Berghofer Medical Research InstituteHerstonQLDAustralia
| | - Carlos Salomon
- Exosome Biology LaboratoryFaculty of Medicine and Biomedical SciencesCentre for Clinical DiagnosticsUniversity of Queensland Centre for Clinical ResearchRoyal Brisbane and Women's HospitalThe University of QueenslandBrisbaneQLDAustralia
- Departamento de InvestigaciónPostgrado y Educación Continua (DIPEC)Facultad de Ciencias de la SaludUniversidad del AlbaSantiagoChile
| | - Andreas Möller
- Tumour Microenvironment LaboratoryQIMR Berghofer Medical Research InstituteHerstonQLDAustralia
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Tzaridis T, Weller J, Bachurski D, Shakeri F, Schaub C, Hau P, Buness A, Schlegel U, Steinbach J, Seidel C, Goldbrunner R, Schäfer N, Wechsler‐Reya RJ, Hallek M, Scheffler B, Glas M, Haeberle L, Herrlinger U, Coch C, Reiners KS, Hartmann G. “A novel serum extracellular vesicle protein signature to monitor glioblastoma tumor progression”. Int J Cancer 2022; 152:308-319. [DOI: 10.1002/ijc.34261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 08/01/2022] [Accepted: 08/10/2022] [Indexed: 11/11/2022]
Affiliation(s)
- Theophilos Tzaridis
- Institute of Clinical Chemistry and Clinical Pharmacology University of Bonn Germany
- Division of Clinical Neurooncology, Department of Neurology, Center of Integrated Oncology Aachen‐Bonn‐Cologne‐Düsseldorf, Partner Site Bonn University of Bonn Germany
- Tumor Initiation & Maintenance Program Sanford Burnham Prebys Medical Discovery Institute La Jolla USA
| | - Johannes Weller
- Division of Clinical Neurooncology, Department of Neurology, Center of Integrated Oncology Aachen‐Bonn‐Cologne‐Düsseldorf, Partner Site Bonn University of Bonn Germany
| | - Daniel Bachurski
- Department I of Internal Medicine, Center for Integrated Oncology Aachen‐Bonn‐Cologne‐Düsseldorf, Partner Site Cologne, Center for Molecular Medicine Cologne University of Cologne Germany
| | - Farhad Shakeri
- Institute for Medical Biometry, Informatics and Epidemiology, Institute for Genomic Statistics and Bioinformatics, Medical Faculty University of Bonn Germany
| | - Christina Schaub
- Division of Clinical Neurooncology, Department of Neurology, Center of Integrated Oncology Aachen‐Bonn‐Cologne‐Düsseldorf, Partner Site Bonn University of Bonn Germany
| | - Peter Hau
- Department of Neurology and Wilhelm Sander NeuroOncology Unit University Hospital Regensburg Germany
| | - Andreas Buness
- Institute for Medical Biometry, Informatics and Epidemiology, Institute for Genomic Statistics and Bioinformatics, Medical Faculty University of Bonn Germany
| | - Uwe Schlegel
- Department of Neurology University Hospital Knappschaftskrankenhaus, Ruhr–University Bochum Germany
| | | | - Clemens Seidel
- Department of Radiation Oncology University of Leipzig Germany
| | | | - Niklas Schäfer
- Division of Clinical Neurooncology, Department of Neurology, Center of Integrated Oncology Aachen‐Bonn‐Cologne‐Düsseldorf, Partner Site Bonn University of Bonn Germany
| | - Robert J. Wechsler‐Reya
- Tumor Initiation & Maintenance Program Sanford Burnham Prebys Medical Discovery Institute La Jolla USA
| | - Michael Hallek
- Department I of Internal Medicine, Center for Integrated Oncology Aachen‐Bonn‐Cologne‐Düsseldorf, Partner Site Cologne, Center for Molecular Medicine Cologne University of Cologne Germany
| | - Björn Scheffler
- DKFZ‐Division Translational Neurooncology at the West German Cancer Center, German Cancer Consortium, DKFZ Heidelberg & Partner Site University Hospital Essen Germany
| | - Martin Glas
- Division of Clinical Neurooncology, Department of Neurology and West German Cancer Center, German Cancer Consortium University Hospital Essen Germany
| | - Lothar Haeberle
- Erlangen University Hospital, Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen‐EMN Friedrich Alexander University of Erlangen– Nuremberg Germany
| | - Ulrich Herrlinger
- Division of Clinical Neurooncology, Department of Neurology, Center of Integrated Oncology Aachen‐Bonn‐Cologne‐Düsseldorf, Partner Site Bonn University of Bonn Germany
| | - Christoph Coch
- Institute of Clinical Chemistry and Clinical Pharmacology University of Bonn Germany
| | - Katrin S. Reiners
- Institute of Clinical Chemistry and Clinical Pharmacology University of Bonn Germany
| | - Gunther Hartmann
- Institute of Clinical Chemistry and Clinical Pharmacology University of Bonn Germany
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Woud WW, van der Pol E, Mul E, Hoogduijn MJ, Baan CC, Boer K, Merino A. An imaging flow cytometry-based methodology for the analysis of single extracellular vesicles in unprocessed human plasma. Commun Biol 2022; 5:633. [PMID: 35768629 PMCID: PMC9243126 DOI: 10.1038/s42003-022-03569-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 05/18/2022] [Indexed: 01/02/2023] Open
Abstract
Extracellular vesicles (EVs) are tissue-specific particles released by cells containing valuable diagnostic information in the form of various biomolecules. To rule out selection bias or introduction of artefacts caused by EV isolation techniques, we present a clinically feasible, imaging flow cytometry (IFCM)-based methodology to phenotype and determine the concentration of EVs with a diameter ≤400 nm in human platelet-poor plasma (PPP) without prior isolation of EVs. Instrument calibration (both size and fluorescence) were performed with commercial polystyrene beads. Detergent treatment of EVs was performed to discriminate true vesicular events from artefacts. Using a combination of markers (CFSE & Tetraspanins, or CD9 & CD31) we found that >90% of double-positive fluorescent events represented single EVs. Through this work, we provide a framework that will allow the application of IFCM for EV analysis in peripheral blood plasma in a plethora of experimental and potentially diagnostic settings. Additionally, this direct approach for EV analysis will enable researchers to explore corners of EVs as cellular messengers in healthy and pathological conditions.
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Affiliation(s)
- Wouter W Woud
- Erasmus MC Transplant Institute, Department of Internal Medicine, University Medical Center Rotterdam, Rotterdam, The Netherlands.
| | - Edwin van der Pol
- Biomedical Engineering & Physics, Laboratory Experimental Clinical Chemistry, Vesicle Observation Center, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.,Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Erik Mul
- Department Central Cell Analysis Facility, Sanquin Research and Landsteiner Laboratory, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Martin J Hoogduijn
- Erasmus MC Transplant Institute, Department of Internal Medicine, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Carla C Baan
- Erasmus MC Transplant Institute, Department of Internal Medicine, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Karin Boer
- Erasmus MC Transplant Institute, Department of Internal Medicine, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Ana Merino
- Erasmus MC Transplant Institute, Department of Internal Medicine, University Medical Center Rotterdam, Rotterdam, The Netherlands
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Ricklefs FL, Maire CL, Wollmann K, Dührsen L, Fita KD, Sahm F, Herold-Mende C, von Deimling A, Kolbe K, Holz M, Bergmann L, Fuh MM, Schlüter H, Alawi M, Reimer R, Peine S, Glatzel M, Westphal M, Lamszus K. Diagnostic potential of extracellular vesicles in meningioma patients. Neuro Oncol 2022; 24:2078-2090. [PMID: 35551407 PMCID: PMC9883720 DOI: 10.1093/neuonc/noac127] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Extracellular vesicles (EVs) play an important role in cell-cell communication, and tumor-derived EVs circulating in patient blood can serve as biomarkers. Here, we investigated the potential role of plasma EVs in meningioma patients for tumor detection and determined whether EVs secreted by meningioma cells reflect epigenetic, genomic, and proteomic alterations of original tumors. METHODS EV concentrations were quantified in patient plasma (n = 46). Short-term meningioma cultures were established (n = 26) and secreted EVs were isolated. Methylation and copy number profiling was performed using 850k arrays, and mutations were identified by targeted gene panel sequencing. Differential quantitative mass spectrometry was employed for proteomic analysis. RESULTS Levels of circulating EVs were elevated in meningioma patients compared to healthy individuals, and the plasma EV concentration correlated with malignancy grade and extent of peritumoral edema. Postoperatively, EV counts dropped to normal levels, and the magnitude of the postoperative decrease was associated with extent of tumor resection. Methylation profiling of EV-DNA allowed correct tumor classification as meningioma in all investigated cases, and accurate methylation subclass assignment in almost all cases. Copy number variations present in tumors, as well as tumor-specific mutations were faithfully reflected in meningioma EV-DNA. Proteomic EV profiling did not permit original tumor identification but revealed tumor-associated proteins that could potentially be utilized to enrich meningioma EVs from biofluids. CONCLUSIONS Elevated EV levels in meningioma patient plasma could aid in tumor diagnosis and assessment of treatment response. Meningioma EV-DNA mirrors genetic and epigenetic tumor alterations and facilitates molecular tumor classification.
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Affiliation(s)
- Franz L Ricklefs
- Corresponding Authors: Katrin Lamszus, MD, Laboratory for Brain Tumor Biology, Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany (); Franz Ricklefs, MD, Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany ()
| | - Cecile L Maire
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Kathrin Wollmann
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Lasse Dührsen
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Krystian D Fita
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Felix Sahm
- Department of Neuropathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Christel Herold-Mende
- Division of Neurosurgical Research, Department of Neurosurgery, University Hospital Heidelberg, Heidelberg, Germany
| | - Andreas von Deimling
- Department of Neuropathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Katharina Kolbe
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Mareike Holz
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Leonie Bergmann
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Marceline M Fuh
- Department of Biochemistry and Molecular Cell Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hartmut Schlüter
- Institute of Clinical Chemistry and Laboratory Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Malik Alawi
- Bioinformatics Core, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Rudolph Reimer
- Heinrich-Pette-Institut, Leibniz Institute for Experimental Virology, Hamburg, Germany
| | - Sven Peine
- Institute of Clinical Chemistry and Laboratory Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Markus Glatzel
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Manfred Westphal
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Katrin Lamszus
- Corresponding Authors: Katrin Lamszus, MD, Laboratory for Brain Tumor Biology, Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany (); Franz Ricklefs, MD, Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany ()
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Highly Sensitive Nanomagnetic Quantification of Extracellular Vesicles by Immunochromatographic Strips: A Tool for Liquid Biopsy. NANOMATERIALS 2022; 12:nano12091579. [PMID: 35564289 PMCID: PMC9101557 DOI: 10.3390/nano12091579] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 04/18/2022] [Accepted: 05/02/2022] [Indexed: 01/27/2023]
Abstract
Extracellular vesicles (EVs) are promising agents for liquid biopsy—a non-invasive approach for the diagnosis of cancer and evaluation of therapy response. However, EV potential is limited by the lack of sufficiently sensitive, time-, and cost-efficient methods for their registration. This research aimed at developing a highly sensitive and easy-to-use immunochromatographic tool based on magnetic nanoparticles for EV quantification. The tool is demonstrated by detection of EVs isolated from cell culture supernatants and various body fluids using characteristic biomarkers, CD9 and CD81, and a tumor-associated marker—epithelial cell adhesion molecules. The detection limit of 3.7 × 105 EV/µL is one to two orders better than the most sensitive traditional lateral flow system and commercial ELISA kits. The detection specificity is ensured by an isotype control line on the test strip. The tool’s advantages are due to the spatial quantification of EV-bound magnetic nanolabels within the strip volume by an original electronic technique. The inexpensive tool, promising for liquid biopsy in daily clinical routines, can be extended to other relevant biomarkers.
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Mizuta R, Sasaki Y, Katagiri K, Sawada SI, Akiyoshi K. Reversible conjugation of biomembrane vesicles with magnetic nanoparticles using a self-assembled nanogel interface: single particle analysis using imaging flow cytometry. NANOSCALE ADVANCES 2022; 4:1999-2010. [PMID: 36133411 PMCID: PMC9419520 DOI: 10.1039/d1na00834j] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 03/13/2022] [Indexed: 06/16/2023]
Abstract
Nanoscale biomembrane vesicles such as liposomes and extracellular vesicles are promising materials for therapeutic delivery applications. However, modification processes that disrupt the biomembrane affect the performance of these systems. Non-covalent functionalization approaches that are facile and easily reversed by environmental triggers are therefore being widely investigated. In this study, liposomes were successfully hybridized with magnetic iron oxide particles using a cholesterol-modified pullulan nanogel interface. Both the magnetic nanoparticles and the hydrophobic core of the lipid bilayer interacted with the hydrophobic cholesteryl moieties, resulting in stable hybrids after simple mixing. Single particle analysis by imaging flow cytometry showed that the hybrid particles interacted in solution. Calcein loaded liposomes were not disrupted by the hybridization, showing that conjugation did not affect membrane stability. The hybrids could be magnetically separated and showed significantly enhanced uptake by HeLa cells when a magnetic field was applied. Differential scanning calorimetry revealed that the hybridization mechanism involved hydrophobic cholesteryl inserting into the biomembrane. Furthermore, exposure of the hybrids to fetal bovine serum proteins reversed the hybridization in a concentration dependent manner, indicating that the interaction was both reversible and controllable. This is the first example of reversible inorganic material conjugation with a biomembrane that has been confirmed by single particle analysis. Both the magnetic nanogel/liposome hybrids and the imaging flow cytometry analysis method have the potential to significantly contribute to therapeutic delivery and nanomaterial development.
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Affiliation(s)
- Ryosuke Mizuta
- Department of Polymer Chemistry, Graduate School of Engineering, A3-317, Kyoto University Katsura, Nishikyo-ku Kyoto 615-8510 Japan +81-75-383-2590 +81-75-383-2823
| | - Yoshihiro Sasaki
- Department of Polymer Chemistry, Graduate School of Engineering, A3-317, Kyoto University Katsura, Nishikyo-ku Kyoto 615-8510 Japan +81-75-383-2590 +81-75-383-2823
| | - Kiyofumi Katagiri
- Department of Applied Chemistry, Graduate School of Engineering, Hiroshima University 1-4-1 Kagamiyama Higashi-Hiroshima 739-8527 Japan
| | - Shin-Ichi Sawada
- Department of Polymer Chemistry, Graduate School of Engineering, A3-317, Kyoto University Katsura, Nishikyo-ku Kyoto 615-8510 Japan +81-75-383-2590 +81-75-383-2823
| | - Kazunari Akiyoshi
- Department of Polymer Chemistry, Graduate School of Engineering, A3-317, Kyoto University Katsura, Nishikyo-ku Kyoto 615-8510 Japan +81-75-383-2590 +81-75-383-2823
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Muraoka S, Hirano M, Isoyama J, Nagayama S, Tomonaga T, Adachi J. Comprehensive proteomic profiling of plasma and serum phosphatidylserine-positive extracellular vesicles reveals tissue-specific proteins. iScience 2022; 25:104012. [PMID: 35340435 PMCID: PMC8941215 DOI: 10.1016/j.isci.2022.104012] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 02/15/2022] [Accepted: 02/25/2022] [Indexed: 11/24/2022] Open
Abstract
Extracellular vesicles (EVs) are ubiquitously secreted by almost all tissues and carry many cargoes, including proteins, RNAs, and lipids, which are related to various biological processes. EVs are shed from tissues into the blood and expected to be used as biomarkers for diseases. Here, we isolated EVs from EDTA plasma and serum of six healthy subjects by an affinity capture isolation method, and a total of 4,079 proteins were successfully identified by comprehensive EV proteomics. Our reliable and detailed catalog of the differential expression profiles of EV proteins in plasma and serum between healthy individuals could be useful as a reference for biomarker discovery. Furthermore, tissue-specific protein groups co-regulated between blood EVs from healthy individuals were identified. These EV proteins are expected to be used for more specific and sensitive enrichment of tissue-specific EVs and for screening and monitoring of disease without diagnostic imaging in patient blood in the future. Catalog of EV proteome created by state-of-the-art proteome analysis technologies Plasma and serum EV proteome profiles showed a difference in healthy individuals Novel standard reference proteins in plasma and serum EVs were identified Tissue-specific EV marker candidates were presented by the informatics approach
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Affiliation(s)
- Satoshi Muraoka
- Laboratory of Proteome Research, National Institute of Biomedical Innovation, Health and Nutrition, 7-6-8, Saito-Asagi, Ibaraki City, Osaka 567-0085, Japan
- Laboratory of Proteomics for Drug Discovery, Center for Drug Design Research, National Institute of Biomedical Innovation, Health and Nutrition, Osaka 567-0085, Japan
| | - Masayo Hirano
- Laboratory of Proteome Research, National Institute of Biomedical Innovation, Health and Nutrition, 7-6-8, Saito-Asagi, Ibaraki City, Osaka 567-0085, Japan
- Laboratory of Proteomics for Drug Discovery, Center for Drug Design Research, National Institute of Biomedical Innovation, Health and Nutrition, Osaka 567-0085, Japan
| | - Junko Isoyama
- Laboratory of Proteome Research, National Institute of Biomedical Innovation, Health and Nutrition, 7-6-8, Saito-Asagi, Ibaraki City, Osaka 567-0085, Japan
- Laboratory of Proteomics for Drug Discovery, Center for Drug Design Research, National Institute of Biomedical Innovation, Health and Nutrition, Osaka 567-0085, Japan
| | - Satoshi Nagayama
- Department of Gastroenterological Surgery, The Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Tokyo 135-8550, Japan
| | - Takeshi Tomonaga
- Laboratory of Proteome Research, National Institute of Biomedical Innovation, Health and Nutrition, 7-6-8, Saito-Asagi, Ibaraki City, Osaka 567-0085, Japan
- Laboratory of Proteomics for Drug Discovery, Center for Drug Design Research, National Institute of Biomedical Innovation, Health and Nutrition, Osaka 567-0085, Japan
| | - Jun Adachi
- Laboratory of Proteome Research, National Institute of Biomedical Innovation, Health and Nutrition, 7-6-8, Saito-Asagi, Ibaraki City, Osaka 567-0085, Japan
- Laboratory of Proteomics for Drug Discovery, Center for Drug Design Research, National Institute of Biomedical Innovation, Health and Nutrition, Osaka 567-0085, Japan
- Laboratory of Clinical and Analytical Chemistry, Center for Drug Design Research, National Institute of Biomedical Innovation, Health and Nutrition, Osaka 567-0085, Japan
- Laboratory of Proteomics and Drug Discovery, Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto 606-8501, Japan
- Corresponding author
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Wang T, Xing Y, Cheng Z, Yu F. Analysis of Single Extracellular Vesicles for Biomedical Applications with Especial Emphasis on Cancer Investigations. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Wasilewski D, Villalba-Moreno ND, Stange I, Glatzel M, Sepulveda-Falla D, Krasemann S. Reactive Astrocytes Contribute to Alzheimer’s Disease-Related Neurotoxicity and Synaptotoxicity in a Neuron-Astrocyte Co-culture Assay. Front Cell Neurosci 2022; 15:739411. [PMID: 35126055 PMCID: PMC8813976 DOI: 10.3389/fncel.2021.739411] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Accepted: 12/08/2021] [Indexed: 01/14/2023] Open
Abstract
Pathological hallmarks of Alzheimer’s disease (AD) include deposition and accumulation of amyloid- β (Aβ), neurofibrillary tangle formation, and neuronal loss. Pathogenesis of presymptomatic disease stages remains elusive, although studies suggest that the early structural and functional alterations likely occur at neuronal dendritic spines. Presymptomatic alterations may also affect different CNS cell types. However, specific contributions of these cell types as cause or consequence of pathology are difficult to study in vivo. There is a shortage of relatively simple, well-defined, and validated in vitro models that allow a straightforward interpretation of results and recapitulate aspects of pathophysiology. For instance, dissecting the AD-related processes (e.g., neurotoxicity vs. synaptotoxicity) may be difficult with the common cell-based systems such as neuronal cell lines or primary neurons. To investigate and characterize the impact of reactive astrocytes on neuronal morphology in the context of AD-related cues, we modified an in vitro co-culture assay of primary mouse neurons and primary mouse astrocytes based on the so-called Banker “sandwich” co-culture assay. Here, we provide a simple and modular assay with fully differentiated primary mouse neurons to study the paracrine interactions between the neurons and the astrocytes in the co-culture setting. Readouts were obtained from both cell types in our assay. Astrocyte feeder cells were pre-exposed to neuroinflammatory conditions by means of Aβ42, Aβ40, or lipopolysaccharide (LPS). Non-cell autonomous toxic effects of reactive astrocytes on neurons were assessed using the Sholl analysis to evaluate the dendritic complexity, whereas synaptic puncta served as a readout of synaptotoxicity. Here, we show that astrocytes actively contribute to the phenotype of the primary neurons in an AD-specific context, emphasizing the role of different cell types in AD pathology. The cytokine expression pattern was significantly altered in the treated astrocytes. Of note, the impact of reactive astrocytes on neurons was highly dependent on the defined cell ratios. Our co-culture system is modular, of low cost, and allows us to probe aspects of neurodegeneration and neuroinflammation between the two major CNS cell types, neurons, and astrocytes, under well-defined experimental conditions. Our easy-to-follow protocol, including work-flow figures, may also provide a methodological outline to study the interactions of astrocytes and neurons in the context of other diseases in the future.
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Lee YJ, Seo CW, Lee D, Choi D. Proteomics of Extracellular Vesicle in Glioblastoma. Brain Tumor Res Treat 2022; 10:207-214. [DOI: 10.14791/btrt.2022.0031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 09/22/2022] [Indexed: 11/05/2022] Open
Affiliation(s)
- Yoon-Jin Lee
- Department of Biochemistry, Soonchunhyang University College of Medicine, Cheonan, Korea
| | - Chul Won Seo
- Department of Biochemistry, Soonchunhyang University College of Medicine, Cheonan, Korea
| | - Donghyeong Lee
- Department of Medicine, Soonchunhyang University College of Medicine, Cheonan, Korea
| | - Dongsic Choi
- Department of Biochemistry, Soonchunhyang University College of Medicine, Cheonan, Korea
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Makielski KM, Donnelly AJ, Khammanivong A, Scott MC, Ortiz AR, Galvan DC, Tomiyasu H, Amaya C, Ward KA, Montoya A, Garbe JR, Mills LJ, Cutter GR, Fenger JM, Kisseberth WC, O'Brien TD, Weigel BJ, Spector LG, Bryan BA, Subramanian S, Modiano JF. Development of an exosomal gene signature to detect residual disease in dogs with osteosarcoma using a novel xenograft platform and machine learning. J Transl Med 2021; 101:1585-1596. [PMID: 34489559 DOI: 10.1038/s41374-021-00655-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 08/03/2021] [Accepted: 08/03/2021] [Indexed: 01/07/2023] Open
Abstract
Osteosarcoma has a guarded prognosis. A major hurdle in developing more effective osteosarcoma therapies is the lack of disease-specific biomarkers to predict risk, prognosis, or therapeutic response. Exosomes are secreted extracellular microvesicles emerging as powerful diagnostic tools. However, their clinical application is precluded by challenges in identifying disease-associated cargo from the vastly larger background of normal exosome cargo. We developed a method using canine osteosarcoma in mouse xenografts to distinguish tumor-derived from host-response exosomal messenger RNAs (mRNAs). The model allows for the identification of canine osteosarcoma-specific gene signatures by RNA sequencing and a species-differentiating bioinformatics pipeline. An osteosarcoma-associated signature consisting of five gene transcripts (SKA2, NEU1, PAF1, PSMG2, and NOB1) was validated in dogs with spontaneous osteosarcoma by real-time quantitative reverse transcription PCR (qRT-PCR), while a machine learning model assigned dogs into healthy or disease groups. Serum/plasma exosomes were isolated from 53 dogs in distinct clinical groups ("healthy", "osteosarcoma", "other bone tumor", or "non-neoplastic disease"). Pre-treatment samples from osteosarcoma cases were used as the training set, and a validation set from post-treatment samples was used for testing, classifying as "osteosarcoma detected" or "osteosarcoma-NOT detected". Dogs in a validation set whose post-treatment samples were classified as "osteosarcoma-NOT detected" had longer remissions, up to 15 months after treatment. In conclusion, we identified a gene signature predictive of molecular remissions with potential applications in the early detection and minimal residual disease settings. These results provide proof of concept for our discovery platform and its utilization in future studies to inform cancer risk, diagnosis, prognosis, and therapeutic response.
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Affiliation(s)
- Kelly M Makielski
- Animal Cancer Care and Research Program, University of Minnesota, St. Paul, MN, USA.
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA.
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA.
| | - Alicia J Donnelly
- Animal Cancer Care and Research Program, University of Minnesota, St. Paul, MN, USA
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
- The Children's Hospital of Philadelphia Research Institute, Philadelphia, PA, 19104, USA
| | - Ali Khammanivong
- Animal Cancer Care and Research Program, University of Minnesota, St. Paul, MN, USA
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
| | - Milcah C Scott
- Animal Cancer Care and Research Program, University of Minnesota, St. Paul, MN, USA
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
- University of Minnesota, Microbiology, Immunology, and Cancer Biology Graduate Program, Minneapolis, MN, USA
| | - Andrea R Ortiz
- Texas Tech Health Sciences Center, El Paso, TX, USA
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
| | - Dana C Galvan
- Texas Tech Health Sciences Center, El Paso, TX, USA
- Department of Radiology, University of New Mexico, Albuquerque, NM, USA
| | - Hirotaka Tomiyasu
- Animal Cancer Care and Research Program, University of Minnesota, St. Paul, MN, USA
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
- Department of Veterinary Internal Medicine, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan
| | | | - Kristin A Ward
- Texas Tech Health Sciences Center, El Paso, TX, USA
- Department of Radiation Oncology, University of Virginia, Charlottesville, VA, USA
| | - Alexa Montoya
- Texas Tech Health Sciences Center, El Paso, TX, USA
- Department of Biology, University of Texas, El Paso, TX, USA
| | - John R Garbe
- Minnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN, USA
- University of Minnesota Genomics Center, University of Minnesota, Minneapolis, MN, USA
| | - Lauren J Mills
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Gary R Cutter
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Joelle M Fenger
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, The Ohio State University, Columbus, OH, USA
- The Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
- Ethos Discovery, San Diego, CA, USA
| | - William C Kisseberth
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, The Ohio State University, Columbus, OH, USA
- The Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
| | - Timothy D O'Brien
- Animal Cancer Care and Research Program, University of Minnesota, St. Paul, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
- Department of Veterinary Population Medicine, University of Minnesota, Minneapolis, MN, USA
- Stem Cell Institute, University of Minnesota, Minneapolis, MN, USA
| | - Brenda J Weigel
- Animal Cancer Care and Research Program, University of Minnesota, St. Paul, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Logan G Spector
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Brad A Bryan
- Texas Tech Health Sciences Center, El Paso, TX, USA
| | - Subbaya Subramanian
- Animal Cancer Care and Research Program, University of Minnesota, St. Paul, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
- Department of Surgery, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Jaime F Modiano
- Animal Cancer Care and Research Program, University of Minnesota, St. Paul, MN, USA
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
- Stem Cell Institute, University of Minnesota, Minneapolis, MN, USA
- Center for Immunology, University of Minnesota, Minneapolis, MN, USA
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN, USA
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42
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Hilton SH, White IM. Advances in the analysis of single extracellular vesicles: A critical review. SENSORS AND ACTUATORS REPORTS 2021; 3:100052. [PMID: 35098157 PMCID: PMC8792802 DOI: 10.1016/j.snr.2021.100052] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
There is an ever-growing need for new cancer diagnostic approaches that provide earlier diagnosis as well as richer diagnostic, prognostic, and resistance information. Extracellular vesicles (EVs) recovered from a liquid biopsy have paradigm-shifting potential to offer earlier and more complete diagnostic information in the form of a minimally invasive liquid biopsy. However, much remains unknown about EVs, and current analytical approaches are unable to provide precise information about the contents and source of EVs. New approaches have emerged to analyze EVs at the single particle level, providing the opportunity to study biogenesis, correlate markers for higher specificity, and connect EV cargo with the source or destination. In this critical review we describe and analyze methods for single EV analysis that have emerged over the last five years. In addition, we note that current methods are limited in their adoption due to cost and complexity and we offer opportunities for the research community to address this challenge.
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Dosing extracellular vesicles. Adv Drug Deliv Rev 2021; 178:113961. [PMID: 34481030 DOI: 10.1016/j.addr.2021.113961] [Citation(s) in RCA: 131] [Impact Index Per Article: 43.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 07/19/2021] [Accepted: 08/30/2021] [Indexed: 02/06/2023]
Abstract
Extracellular vesicles (EVs) are natural nanoparticles containing biologically active molecules. They are important mediators of intercellular communication and can be exploited therapeutically by various bioengineering approaches. To accurately determine the therapeutic potential of EVs in pre-clinical and clinical settings, dependable dosing strategies are of utmost importance. However, the field suffers from inconsistencies comprising all areas of EV production and characterisation. Therefore, a standardised and well-defined process in EV quantification, key to reliable therapeutic EV dosing, remains to be established. Here, we examined 64 pre-clinical studies for EV-based therapeutics with respect to their applied EV dosing strategies. We identified variations in effective dosing strategies irrespective of the applied EV purification method and cell source. Moreover, we found dose discrepancies depending on the disease model, where EV doses were selected without accounting for published EV pharmacokinetics or biodistribution patterns. We therefore propose to focus on qualitative aspects when dosing EV-based therapeutics, such as the potency of the therapeutic cargo entity. This will ensure batch-to-batch reliability and enhance reproducibility between applications. Furthermore, it will allow for the successful benchmarking of EV-based therapeutics compared to other nanoparticle drug delivery systems, such as viral vector-based or lipid-based nanoparticle approaches.
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44
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Gao X, Teng X, Dai Y, Li J. Rolling Circle Amplification-Assisted Flow Cytometry Approach for Simultaneous Profiling of Exosomal Surface Proteins. ACS Sens 2021; 6:3611-3620. [PMID: 34632781 DOI: 10.1021/acssensors.1c01163] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Exosomes that carry multiple proteins from the originating cells are known as emerging biomarkers for tumor diagnostics. However, it is still technically challenging to accurately evaluate subtle differences of exosomal membrane proteins. Here, we developed a rolling circle amplification (RCA)-assisted flow cytometry approach (FCA) to simultaneously profile surface proteins and quantify exosomes. In this work, specific anti-CD63 antibody-conjugated magnetic beads were first utilized to capture exosomes. Then, the captured exosomes were bound with DNA primers, which comprise exosomal surface protein-specific recognition aptamers. The RCA reaction generates repeat DNA sequences for fluorescent probe hybridization. Finally, a conventional flow cytometer was introduced to phenotype exosomal protein markers. Such a sensitive RCA-assisted FCA displays an excellent detection limit of 1.3 × 105 exosome/mL. The variable composition of four protein markers on different cell-derived exosomes was sensitively detected through changing the protein-recognition sequence of the DNA primer, which reveals a heterogeneous pattern. Exosomes from different cell sources could be distinguished by the abundance difference of multiple surface proteins. Furthermore, the developed RCA-assisted FCA enabled quantitative analysis of blood samples from lung cancer patients, indicating its potential for early clinical diagnosis and prognosis of cancer.
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Affiliation(s)
- Xiaoyi Gao
- Department of Chemistry, Center for BioAnalytical Chemistry, Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology, Tsinghua University, Beijing 100084, China
| | - Xucong Teng
- Department of Chemistry, Center for BioAnalytical Chemistry, Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology, Tsinghua University, Beijing 100084, China
| | - Yicong Dai
- Department of Chemistry, Center for BioAnalytical Chemistry, Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology, Tsinghua University, Beijing 100084, China
| | - Jinghong Li
- Department of Chemistry, Center for BioAnalytical Chemistry, Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology, Tsinghua University, Beijing 100084, China
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45
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Maire CL, Fuh MM, Kaulich K, Fita KD, Stevic I, Heiland DH, Welsh JA, Jones JC, Görgens A, Ricklefs T, Dührsen L, Sauvigny T, Joosse SA, Reifenberger G, Pantel K, Glatzel M, Miklosi AG, Felce JH, Caselli M, Pereno V, Reimer R, Schlüter H, Westphal M, Schüller U, Lamszus K, Ricklefs FL. Genome-wide methylation profiling of glioblastoma cell-derived extracellular vesicle DNA allows tumor classification. Neuro Oncol 2021; 23:1087-1099. [PMID: 33508126 DOI: 10.1093/neuonc/noab012] [Citation(s) in RCA: 55] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Genome-wide DNA methylation profiling has recently been developed into a tool that allows tumor classification in central nervous system tumors. Extracellular vesicles (EVs) are released by tumor cells and contain high molecular weight DNA, rendering EVs a potential biomarker source to identify tumor subgroups, stratify patients and monitor therapy by liquid biopsy. We investigated whether the DNA in glioblastoma cell-derived EVs reflects genome-wide tumor methylation and mutational profiles and allows noninvasive tumor subtype classification. METHODS DNA was isolated from EVs secreted by glioblastoma cells as well as from matching cultured cells and tumors. EV-DNA was localized and quantified by direct stochastic optical reconstruction microscopy. Methylation and copy number profiling was performed using 850k arrays. Mutations were identified by targeted gene panel sequencing. Proteins were differentially quantified by mass spectrometric proteomics. RESULTS Genome-wide methylation profiling of glioblastoma-derived EVs correctly identified the methylation class of the parental cells and original tumors, including the MGMT promoter methylation status. Tumor-specific mutations and copy number variations (CNV) were detected in EV-DNA with high accuracy. Different EV isolation techniques did not affect the methylation profiling and CNV results. DNA was present inside EVs and on the EV surface. Proteome analysis did not allow specific tumor identification or classification but identified tumor-associated proteins that could potentially be useful for enriching tumor-derived circulating EVs from biofluids. CONCLUSIONS This study provides proof of principle that EV-DNA reflects the genome-wide methylation, CNV, and mutational status of glioblastoma cells and enables their molecular classification.
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Affiliation(s)
- Cecile L Maire
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Marceline M Fuh
- Department of Biochemistry and Molecular Cell Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Kerstin Kaulich
- Institute of Neuropathology, University of Duesseldorf, Duesseldorf, Germany
| | - Krystian D Fita
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ines Stevic
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Dieter H Heiland
- Department of Neurosurgery, Medical Center University of Freiburg, Freiburg, Germany
| | - Joshua A Welsh
- Translational Nanobiology Section, Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Jennifer C Jones
- Translational Nanobiology Section, Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - André Görgens
- Department of Laboratory Medicine, Clinical Research Center, Karolinska Institute, Stockholm, Sweden.,Institute for Transfusion Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.,Evox Therapeutics Limited, Oxford, UK
| | - Tammo Ricklefs
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Lasse Dührsen
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Thomas Sauvigny
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Simon A Joosse
- Department of Tumor Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Mildred Scheel Cancer Career Center HaTriCS4, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Guido Reifenberger
- Institute of Neuropathology, University of Duesseldorf, Duesseldorf, Germany
| | - Klaus Pantel
- Department of Tumor Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Markus Glatzel
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | | | | | | | | | - Rudolph Reimer
- Heinrich-Pette-Institut, Leibniz Institute for Experimental Virology, Hamburg, Germany
| | - Hartmut Schlüter
- Institute of Clinical Chemistry and Laboratory Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Manfred Westphal
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ulrich Schüller
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Pediatric Hematology and Oncology, and Research Institute Children's Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Katrin Lamszus
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Franz L Ricklefs
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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46
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RoŽanc J, Finšgar M, Maver U. Progressive use of multispectral imaging flow cytometry in various research areas. Analyst 2021; 146:4985-5007. [PMID: 34337638 DOI: 10.1039/d1an00788b] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Multi-spectral imaging flow cytometry (MIFC) has become one of the most powerful technologies for investigating general analytics, molecular and cell biology, biotechnology, medicine, and related fields. It combines the capabilities of the morphometric and photometric analysis of single cells and micrometer-sized particles in flux with regard to thousands of events. It has become the tool of choice for a wide range of research and clinical applications. By combining the features of flow cytometry and fluorescence microscopy, it offers researchers the ability to couple the spatial resolution of multicolour images of cells and organelles with the simultaneous analysis of a large number of events in a single system. This provides the opportunity to visually confirm findings and collect novel data that would otherwise be more difficult to obtain. This has led many researchers to design innovative assays to gain new insight into important research questions. To date, it has been successfully used to study cell morphology, surface and nuclear protein co-localization, protein-protein interactions, cell signaling, cell cycle, cell death, and cytotoxicity, intracellular calcium, drug uptake, pathogen internalization, and other applications. Herein we describe some of the recent advances in the field of multiparametric imaging flow cytometry methods in various research areas.
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Affiliation(s)
- Jan RoŽanc
- University of Maribor, Faculty of Medicine, Institute of Biomedical Sciences, Taborska ulica 8, SI-2000 Maribor, Slovenia.
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47
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Schnatz A, Müller C, Brahmer A, Krämer‐Albers E. Extracellular Vesicles in neural cell interaction and CNS homeostasis. FASEB Bioadv 2021; 3:577-592. [PMID: 34377954 PMCID: PMC8332475 DOI: 10.1096/fba.2021-00035] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Revised: 04/16/2021] [Accepted: 04/22/2021] [Indexed: 12/15/2022] Open
Abstract
Central nervous system (CNS) homeostasis critically depends on the interaction between neurons and glia cells. Extracellular vesicles (EVs) recently emerged as versatile messengers in CNS cell communication. EVs are released by neurons and glia in activity-dependent manner and address multiple target cells within and outside the nervous system. Here, we summarize the recent advances in understanding the physiological roles of EVs in the nervous system and their ability to deliver signals across the CNS barriers. In addition to the disposal of cellular components via EVs and clearance by phagocytic cells, EVs are involved in plasticity-associated processes, mediate trophic support and neuroprotection, promote axonal maintenance, and modulate neuroinflammation. While individual functional components of the EV cargo are becoming progressively identified, the role of neural EVs as compound multimodal signaling entities remains to be elucidated. Novel transgenic models and imaging technologies allow EV tracking in vivo and provide further insight into EV targeting and their mode of action. Overall, EVs represent key players in the maintenance of CNS homeostasis essential for the lifelong performance of neural networks and thus provide a wide spectrum of biomedical applications.
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Affiliation(s)
- Andrea Schnatz
- Institute of Developmental Biology and NeurobiologyBiology of Extracellular VesiclesUniversity of MainzMainzGermany
| | - Christina Müller
- Institute of Developmental Biology and NeurobiologyBiology of Extracellular VesiclesUniversity of MainzMainzGermany
| | - Alexandra Brahmer
- Institute of Developmental Biology and NeurobiologyBiology of Extracellular VesiclesUniversity of MainzMainzGermany
| | - Eva‐Maria Krämer‐Albers
- Institute of Developmental Biology and NeurobiologyBiology of Extracellular VesiclesUniversity of MainzMainzGermany
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48
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Bordanaba-Florit G, Royo F, Kruglik SG, Falcón-Pérez JM. Using single-vesicle technologies to unravel the heterogeneity of extracellular vesicles. Nat Protoc 2021; 16:3163-3185. [PMID: 34135505 DOI: 10.1038/s41596-021-00551-z] [Citation(s) in RCA: 109] [Impact Index Per Article: 36.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 03/31/2021] [Indexed: 12/12/2022]
Abstract
Extracellular vesicles (EVs) are heterogeneous lipid containers with a complex molecular cargo comprising several populations with unique roles in biological processes. These vesicles are closely associated with specific physiological features, which makes them invaluable in the detection and monitoring of various diseases. EVs play a key role in pathophysiological processes by actively triggering genetic or metabolic responses. However, the heterogeneity of their structure and composition hinders their application in medical diagnosis and therapies. This diversity makes it difficult to establish their exact physiological roles, and the functions and composition of different EV (sub)populations. Ensemble averaging approaches currently employed for EV characterization, such as western blotting or 'omics' technologies, tend to obscure rather than reveal these heterogeneities. Recent developments in single-vesicle analysis have made it possible to overcome these limitations and have facilitated the development of practical clinical applications. In this review, we discuss the benefits and challenges inherent to the current methods for the analysis of single vesicles and review the contribution of these approaches to the understanding of EV biology. We describe the contributions of these recent technological advances to the characterization and phenotyping of EVs, examination of the role of EVs in cell-to-cell communication pathways and the identification and validation of EVs as disease biomarkers. Finally, we discuss the potential of innovative single-vesicle imaging and analysis methodologies using microfluidic devices, which promise to deliver rapid and effective basic and practical applications for minimally invasive prognosis systems.
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Affiliation(s)
- Guillermo Bordanaba-Florit
- Exosomes Laboratory, Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Derio, Spain.
| | - Félix Royo
- Exosomes Laboratory, Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Derio, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (Ciberehd), Madrid, Spain
| | - Sergei G Kruglik
- Sorbonne Université, CNRS, Institut de Biologie Paris-Seine, Laboratoire Jean Perrin, Paris, France
| | - Juan M Falcón-Pérez
- Exosomes Laboratory, Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Derio, Spain. .,Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (Ciberehd), Madrid, Spain. .,Ikerbasque, Basque Foundation for Science, Bilbao, Spain.
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49
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Ali H, Harting R, de Vries R, Ali M, Wurdinger T, Best MG. Blood-Based Biomarkers for Glioma in the Context of Gliomagenesis: A Systematic Review. Front Oncol 2021; 11:665235. [PMID: 34150629 PMCID: PMC8211985 DOI: 10.3389/fonc.2021.665235] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Accepted: 05/18/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Gliomas are the most common and aggressive tumors of the central nervous system. A robust and widely used blood-based biomarker for glioma has not yet been identified. In recent years, a plethora of new research on blood-based biomarkers for glial tumors has been published. In this review, we question which molecules, including proteins, nucleic acids, circulating cells, and metabolomics, are most promising blood-based biomarkers for glioma diagnosis, prognosis, monitoring and other purposes, and align them to the seminal processes of cancer. METHODS The Pubmed and Embase databases were systematically searched. Biomarkers were categorized in the identified biomolecules and biosources. Biomarker characteristics were assessed using the area under the curve (AUC), accuracy, sensitivity and/or specificity values and the degree of statistical significance among the assessed clinical groups was reported. RESULTS 7,919 references were identified: 3,596 in PubMed and 4,323 in Embase. Following screening of titles, abstracts and availability of full-text, 262 articles were included in the final systematic review. Panels of multiple biomarkers together consistently reached AUCs >0.8 and accuracies >80% for various purposes but especially for diagnostics. The accuracy of single biomarkers, consisting of only one measurement, was far more variable, but single microRNAs and proteins are generally more promising as compared to other biomarker types. CONCLUSION Panels of microRNAs and proteins are most promising biomarkers, while single biomarkers such as GFAP, IL-10 and individual miRNAs also hold promise. It is possible that panels are more accurate once these are involved in different, complementary cancer-related molecular pathways, because not all pathways may be dysregulated in cancer patients. As biomarkers seem to be increasingly dysregulated in patients with short survival, higher tumor grades and more pathological tumor types, it can be hypothesized that more pathways are dysregulated as the degree of malignancy of the glial tumor increases. Despite, none of the biomarkers found in the literature search seem to be currently ready for clinical implementation, and most of the studies report only preliminary application of the identified biomarkers. Hence, large-scale validation of currently identified and potential novel biomarkers to show clinical utility is warranted.
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Affiliation(s)
- Hamza Ali
- Department of Neurosurgery, Brain Tumor Center Amsterdam, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center and Academic Medical Center, Amsterdam, Netherlands
| | - Romée Harting
- Department of Neurosurgery, Brain Tumor Center Amsterdam, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center and Academic Medical Center, Amsterdam, Netherlands
| | - Ralph de Vries
- Medical Library, Vrije Universiteit, Amsterdam, Netherlands
| | - Meedie Ali
- Department of Neurosurgery, Brain Tumor Center Amsterdam, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center and Academic Medical Center, Amsterdam, Netherlands
| | - Thomas Wurdinger
- Department of Neurosurgery, Brain Tumor Center Amsterdam, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center and Academic Medical Center, Amsterdam, Netherlands
| | - Myron G. Best
- Department of Neurosurgery, Brain Tumor Center Amsterdam, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center and Academic Medical Center, Amsterdam, Netherlands
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50
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Rankin-Turner S, Vader P, O'Driscoll L, Giebel B, Heaney LM, Davies OG. A call for the standardised reporting of factors affecting the exogenous loading of extracellular vesicles with therapeutic cargos. Adv Drug Deliv Rev 2021; 173:479-491. [PMID: 33862168 PMCID: PMC8191593 DOI: 10.1016/j.addr.2021.04.012] [Citation(s) in RCA: 64] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 03/26/2021] [Accepted: 04/09/2021] [Indexed: 12/13/2022]
Abstract
Extracellular vesicles (EVs) are complex nanoparticles required for the intercellular transfer of diverse biological cargoes. Unlike synthetic nanoparticles, EVs may provide a natural platform for the enhanced targeting and functional transfer of therapeutics across complex and often impenetrable biological boundaries (e.g. the blood-brain barrier or the matrix of densely organised tumours). Consequently, there is considerable interest in utilising EVs as advanced drug delivery systems for the treatment of a range of challenging pathologies. Within the past decade, efforts have focused on providing standard minimal requirements for conducting basic EV research. However, no standard reporting framework has been established governing the therapeutic loading of EVs for drug delivery applications. The purpose of this review is to critically evaluate progress in the field, providing an initial set of guidelines that can be applied as a benchmark to enhance reproducibility and increase the likelihood of translational outcomes.
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Affiliation(s)
- Stephanie Rankin-Turner
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, Leicestershire LE11 3TU, UK
| | - Pieter Vader
- CDL Research, University Medical Centre Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands; Department of Experimental Cardiology, University Medical Centre Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Lorraine O'Driscoll
- School of Pharmacy and Pharmaceutical Sciences & Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland; Trinity St. James's Cancer Institute, Trinity College Dublin, Dublin, Ireland
| | - Bernd Giebel
- Institute for Transfusion Medicine, University Hospital Essen, University of Duisburg-Essen, Virchowstraβe 179, 45147 Essen, Germany
| | - Liam M Heaney
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, Leicestershire LE11 3TU, UK
| | - Owen G Davies
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, Leicestershire LE11 3TU, UK.
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