Academic Journal

Secreted Extracellular Vesicle Molecular Cargo as a Novel Liquid Biopsy Diagnostics of Central Nervous System Diseases

التفاصيل البيبلوغرافية
العنوان: Secreted Extracellular Vesicle Molecular Cargo as a Novel Liquid Biopsy Diagnostics of Central Nervous System Diseases
المؤلفون: Monteiro-Reis, Sara, Carvalho-Maia, Carina, Bart, Genevieve, Vainio, Seppo J., Pedro, Juliana, Silva, Eunice R., Sales, Goreti, Henriques, Rui T., Jerónimo, Carmen
بيانات النشر: MDPI AG
سنة النشر: 2021
المجموعة: Universidade de Coimbra: Estudo Geral
مصطلحات موضوعية: extracellular vesicles, central nervous system, biomarkers, Central Nervous System Diseases, Chemical Fractionation, Humans, Molecular Diagnostic Techniques, RNA, Untranslated, Liquid Biopsy
الوصف: Secreted extracellular vesicles (EVs) are heterogeneous cell-derived membranous granules which carry a large diversity of molecules and participate in intercellular communication by transferring these molecules to target cells by endocytosis. In the last decade, EVs' role in several pathological conditions, from etiology to disease progression or therapy evasion, has been consolidated, including in central nervous system (CNS)-related disorders. For this review, we performed a systematic search of original works published, reporting the presence of molecular components expressed in the CNS via EVs, which have been purified from plasma, serum or cerebrospinal fluid. Our aim is to provide a list of molecular EV components that have been identified from both nonpathological conditions and the most common CNS-related disorders. We discuss the methods used to isolate and enrich EVs from specific CNS-cells and the relevance of its components in each disease context.
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 1422-0067
Relation: #PLACEHOLDER_PARENT_METADATA_VALUE#; MindGaP-H2020-FETOPEN-2018-2020; https://hdl.handle.net/10316/104750
DOI: 10.3390/ijms22063267
الاتاحة: https://hdl.handle.net/10316/104750
https://doi.org/10.3390/ijms22063267
Rights: info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.F5DA3421
قاعدة البيانات: BASE
الوصف
تدمد:14220067
DOI:10.3390/ijms22063267