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Harita Y. Urinary extracellular vesicles in childhood kidney diseases. Pediatr Nephrol 2024; 39:2293-2300. [PMID: 38093081 PMCID: PMC11199279 DOI: 10.1007/s00467-023-06243-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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 11/21/2023] [Accepted: 11/23/2023] [Indexed: 06/26/2024]
Abstract
Most biological fluids contain extracellular vesicles (EVs). EVs are surrounded by a lipid bilayer and contain biological macromolecules such as proteins, lipids, RNA, and DNA. They lack a functioning nucleus and are incapable of replicating. The physiological characteristics and molecular composition of EVs in body fluids provide valuable information about the status of originating cells. Consequently, they could be effectively utilized for diagnostic and prognostic applications. Urine contains a heterogeneous population of EVs. To date, these urinary extracellular vesicles (uEVs) have been ignored in the standard urinalysis. In recent years, knowledge has accumulated on how uEVs should be separated and analyzed. It has become clear how uEVs reflect the expression of each molecule in cells in nephron segments and how they are altered in disease states such as glomerular/tubular disorders, rare congenital diseases, acute kidney injury (AKI), and chronic kidney disease (CKD). Significant promise exists for the molecular expression signature of uEVs detected by simple techniques such as enzyme-linked immunosorbent assay (ELISA), making them more applicable in clinical settings. This review presents the current understanding regarding uEVs, emphasizing the potential for non-invasive diagnostics, especially for childhood kidney diseases.
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Affiliation(s)
- Yutaka Harita
- Department of Pediatrics, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.
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2
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Li Y, Wang J, Chen W, Lu H, Zhang Y. Comprehensive review of MS-based studies on N-glycoproteome and N-glycome of extracellular vesicles. Proteomics 2024; 24:e2300065. [PMID: 37474487 DOI: 10.1002/pmic.202300065] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 07/10/2023] [Accepted: 07/10/2023] [Indexed: 07/22/2023]
Abstract
Extracellular vesicles (EVs) are lipid bilayer-enclosed particles that can be released by all type of cells. Whereas, as one of the most common post-translational modifications, glycosylation plays a vital role in various biological functions of EVs, such as EV biogenesis, sorting, and cellular recognition. Nevertheless, compared with studies on RNAs or proteins, those investigating the glycoconjugates of EVs are limited. An in-depth investigation of N-glycosylation of EVs can improve the understanding of the biological functions of EVs and help to exploit EVs from different perspectives. The general focus of studies on glycosylation of EVs primarily includes isolation and characterization of EVs, preparation of glycoproteome/glycome samples and MS analysis. However, the low content of EVs and non-standard separation methods for downstream analysis are the main limitations of these studies. In this review, we highlight the importance of glycopeptide/glycan enrichment and derivatization owing to the low abundance of glycoproteins and the low ionization efficiency of glycans. Diverse fragmentation patterns and professional analytical software are indispensable for analysing glycosylation via MS. Altogether, this review summarises recent studies on glycosylation of EVs, revealing the role of EVs in disease progression and their remarkable potential as biomarkers.
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Affiliation(s)
- Yang Li
- Institutes of Biomedical Sciences and NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai, P. R. China
| | - Jun Wang
- Department of Chemistry and Shanghai Cancer Center, Fudan University, Shanghai, P. R. China
| | - Weiyu Chen
- Department of Chemistry and Shanghai Cancer Center, Fudan University, Shanghai, P. R. China
| | - Haojie Lu
- Institutes of Biomedical Sciences and NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai, P. R. China
- Department of Chemistry and Shanghai Cancer Center, Fudan University, Shanghai, P. R. China
| | - Ying Zhang
- Institutes of Biomedical Sciences and NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai, P. R. China
- Department of Chemistry and Shanghai Cancer Center, Fudan University, Shanghai, P. R. China
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Bao Y, Zhang D, Guo H, Ma W. Beyond blood: Advancing the frontiers of liquid biopsy in oncology and personalized medicine. Cancer Sci 2024; 115:1060-1072. [PMID: 38308498 PMCID: PMC11007055 DOI: 10.1111/cas.16097] [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: 11/29/2023] [Revised: 01/08/2024] [Accepted: 01/16/2024] [Indexed: 02/04/2024] Open
Abstract
Liquid biopsy is emerging as a pivotal tool in precision oncology, offering a noninvasive and comprehensive approach to cancer diagnostics and management. By harnessing biofluids such as blood, urine, saliva, cerebrospinal fluid, and pleural effusions, this technique profiles key biomarkers including circulating tumor DNA, circulating tumor cells, microRNAs, and extracellular vesicles. This review discusses the extended scope of liquid biopsy, highlighting its indispensable role in enhancing patient outcomes through early detection, continuous monitoring, and tailored therapy. While the advantages are notable, we also address the challenges, emphasizing the necessity for precision, cost-effectiveness, and standardized methodologies in its broader application. The future trajectory of liquid biopsy is set to expand its reach in personalized medicine, fueled by technological advancements and collaborative research.
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Affiliation(s)
- Ying Bao
- Key Laboratory for Translational MedicineThe First Hospital Affiliated with Huzhou UniversityHuzhouChina
| | - Dejing Zhang
- Department of General SurgeryPuyang Oilfield General HospitalPuyangChina
| | - Huihui Guo
- Key Laboratory for Translational MedicineThe First Hospital Affiliated with Huzhou UniversityHuzhouChina
| | - Wenxue Ma
- Department of Medicine, Moores Cancer Center, and Sanford Stem Cell InstituteUniversity of California San DiegoLa JollaCaliforniaUSA
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Taylor ML, Giacalone AG, Amrhein KD, Wilson RE, Wang Y, Huang X. Nanomaterials for Molecular Detection and Analysis of Extracellular Vesicles. NANOMATERIALS (BASEL, SWITZERLAND) 2023; 13:524. [PMID: 36770486 PMCID: PMC9920192 DOI: 10.3390/nano13030524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 01/23/2023] [Accepted: 01/24/2023] [Indexed: 06/18/2023]
Abstract
Extracellular vesicles (EVs) have emerged as a novel resource of biomarkers for cancer and certain other diseases. Probing EVs in body fluids has become of major interest in the past decade in the development of a new-generation liquid biopsy for cancer diagnosis and monitoring. However, sensitive and specific molecular detection and analysis are challenging, due to the small size of EVs, low amount of antigens on individual EVs, and the complex biofluid matrix. Nanomaterials have been widely used in the technological development of protein and nucleic acid-based EV detection and analysis, owing to the unique structure and functional properties of materials at the nanometer scale. In this review, we summarize various nanomaterial-based analytical technologies for molecular EV detection and analysis. We discuss these technologies based on the major types of nanomaterials, including plasmonic, fluorescent, magnetic, organic, carbon-based, and certain other nanostructures. For each type of nanomaterial, functional properties are briefly described, followed by the applications of the nanomaterials for EV biomarker detection, profiling, and analysis in terms of detection mechanisms.
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Alvarez-Cubero MJ, Arance E, de Santiago E, Sanchez P, Sepúlveda MR, Marrero R, Lorente JA, Gonzalez-Cabezuelo JM, Cuenca-Lopez S, Cozar JM, Vazquez-Alonso F, Martinez-Gonzalez LJ. Follow-Up Biomarkers in the Evolution of Prostate Cancer, Levels of S100A4 as a Detector in Plasma. Int J Mol Sci 2022; 24:ijms24010547. [PMID: 36613987 PMCID: PMC9820153 DOI: 10.3390/ijms24010547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 11/30/2022] [Accepted: 12/01/2022] [Indexed: 12/30/2022] Open
Abstract
The management and screening of prostate cancer (PC) is still the main problem in clinical practice. In this study, we investigated the role of aggressiveness genetic markers for PC stratification. We analyzed 201 plasma samples from PC patients and controls by digital PCR. For selection and validation, 26 formalin-fixed paraffin-embedded tissues, 12 fresh tissues, and 24 plasma samples were characterized by RNA-Seq, immunochemistry, immunofluorescence, Western blot, and extracellular-vesicles analyses. We identified three novel non-invasive biomarkers; all with an increased expression pattern in patients (PCA3: p = 0.002, S100A4: p ≤ 0.0001 and MRC2: p = 0.005). S100A4 presents the most informative AUC (area under the curve) (0.735). Combination of S100A4, MRC2, and PCA3 increases the discriminatory power between patients and controls and between different more and less aggressive stages (AUC = 0.761, p ≤ 0.0001). However, although a sensitivity of 97.47% in PCA3 and a specificity of 90.32% in S100A4 was reached, the detection signal level could be variable in some analyses owing to tumor heterogeneity. This is the first time that the role of S100A4 and MRC2 has been described in PC aggressiveness. Moreover, the combination of S100A4, MRC2, and PCA3 has never been described as a non-invasive biomarker for PC screening and aggressiveness.
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Affiliation(s)
- Maria Jesus Alvarez-Cubero
- GENYO, Centre for Genomics and Oncological Research: Pfizer, University of Granada, Andalusian Regional Government, Genomics Unit, PTS Granada, Avenida de la Ilustración 114, 18016 Granada, Spain
- Nutrition, Diet and Risk Assessment Group, Bio-Health Research Institute (Instituto de Investigación Biosanitaria ibs.GRANADA), Avenida de las Fuerzas Armadas 2, 18014 Granada, Spain
- Department of Biochemistry and Molecular Biology III, Faculty of Medicine, University of Granada, PTS Granada, 18016 Granada, Spain
| | - Elena Arance
- GENYO, Centre for Genomics and Oncological Research: Pfizer, University of Granada, Andalusian Regional Government, Genomics Unit, PTS Granada, Avenida de la Ilustración 114, 18016 Granada, Spain
| | - Esperanza de Santiago
- GENYO, Centre for Genomics and Oncological Research: Pfizer, University of Granada, Andalusian Regional Government, Genomics Unit, PTS Granada, Avenida de la Ilustración 114, 18016 Granada, Spain
| | - Pilar Sanchez
- Department of Biochemistry and Molecular Biology III, Faculty of Medicine, University of Granada, PTS Granada, 18016 Granada, Spain
| | - Maria Rosario Sepúlveda
- Department of Cell Biology, Faculty of Sciences, University of Granada, Avenida de la Fuente Nueva S/N CP, 18071 Granada, Spain
| | - Raquel Marrero
- GENYO, Centre for Genomics and Oncological Research: Pfizer, University of Granada, Andalusian Regional Government, Genomics Unit, PTS Granada, Avenida de la Ilustración 114, 18016 Granada, Spain
| | - Jose Antonio Lorente
- GENYO, Centre for Genomics and Oncological Research: Pfizer, University of Granada, Andalusian Regional Government, Genomics Unit, PTS Granada, Avenida de la Ilustración 114, 18016 Granada, Spain
- Department of Legal Medicine and Toxicology, Faculty of Medicine, University of Granada, PTS Granada, 18016 Granada, Spain
| | | | - Sergio Cuenca-Lopez
- GENYO, Centre for Genomics and Oncological Research: Pfizer, University of Granada, Andalusian Regional Government, Genomics Unit, PTS Granada, Avenida de la Ilustración 114, 18016 Granada, Spain
- Department of Biochemistry and Molecular Biology III, Faculty of Medicine, University of Granada, PTS Granada, 18016 Granada, Spain
| | - Jose Manuel Cozar
- Urology Department, Virgen de las Nieves Hospital, 18014 Granada, Spain
| | | | - Luis Javier Martinez-Gonzalez
- GENYO, Centre for Genomics and Oncological Research: Pfizer, University of Granada, Andalusian Regional Government, Genomics Unit, PTS Granada, Avenida de la Ilustración 114, 18016 Granada, Spain
- Correspondence: ; Tel.: +34-958-715-500 (ext. 108); Fax: +34-958-637-071
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Diagnostic Strategies for Urologic Cancer Using Expression Analysis of Various Oncogenic Surveillance Molecules—From Non-Coding Small RNAs to Cancer-Specific Proteins. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12157390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Urinary-tract-related tumors are prone to simultaneous or heterogeneous multiple tumor development within the primary organ. Urologic tumors have a very high risk of recurrence in the long and short term. This may be related to the disruption of homeostasis on the genetic level, such as the induction of genetic mutations due to exposure to various carcinogenic factors and the disruption of cancer suppressor gene functions. It is essential to detect the cancer progression signals caused by genetic abnormalities and find treatment therapies. In this review, we discuss the usefulness of tumor-expressing clinical biomarkers for predicting cancer progression. Furthermore, we discuss various factors associated with disturbed intracellular signals and those targeted by microRNAs, which are representative of non-coding small RNAs.
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Li CH, Chang YC, Hsiao M, Chan MH. Ultrasound and Nanomedicine for Cancer-Targeted Drug Delivery: Screening, Cellular Mechanisms and Therapeutic Opportunities. Pharmaceutics 2022; 14:1282. [PMID: 35745854 PMCID: PMC9229768 DOI: 10.3390/pharmaceutics14061282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 06/13/2022] [Accepted: 06/14/2022] [Indexed: 12/02/2022] Open
Abstract
Cancer is a disease characterized by abnormal cell growth. According to a report published by the World Health Organization (WHO), cancer is the second leading cause of death globally, responsible for an estimated 9.6 million deaths in 2018. It should be noted that ultrasound is already widely used as a diagnostic procedure for detecting tumorigenesis. In addition, ultrasound energy can also be utilized effectively for treating cancer. By filling the interior of lipospheres with gas molecules, these particles can serve both as contrast agents for ultrasonic imaging and as delivery systems for drugs such as microbubbles and nanobubbles. Therefore, this review aims to describe the nanoparticle-assisted drug delivery system and how it can enhance image analysis and biomedicine. The formation characteristics of nanoparticles indicate that they will accumulate at the tumor site upon ultrasonic imaging, in accordance with their modification characteristics. As a result of changing the accumulation of materials, it is possible to examine the results by comparing images of other tumor cell lines. It is also possible to investigate ultrasound images for evidence of cellular effects. In combination with a precision ultrasound imaging system, drug-carrying lipospheres can precisely track tumor tissue and deliver drugs to tumor cells to enhance the ability of this nanocomposite to treat cancer.
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Affiliation(s)
- Chien-Hsiu Li
- Genomics Research Center, Academia Sinica, Taipei 115, Taiwan;
| | - Yu-Chan Chang
- Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei 112, Taiwan;
| | - Michael Hsiao
- Genomics Research Center, Academia Sinica, Taipei 115, Taiwan;
- Department of Biochemistry, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan
| | - Ming-Hsien Chan
- Genomics Research Center, Academia Sinica, Taipei 115, Taiwan;
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