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For: Ebrahimkhani S, Beadnall HN, Wang C, Suter CM, Barnett MH, Buckland ME, Vafaee F. Serum Exosome MicroRNAs Predict Multiple Sclerosis Disease Activity after Fingolimod Treatment. Mol Neurobiol 2020;57:1245-58. [PMID: 31721043 DOI: 10.1007/s12035-019-01792-6] [Cited by in Crossref: 20] [Cited by in F6Publishing: 21] [Article Influence: 6.7] [Reference Citation Analysis]
Number Citing Articles
1 Cansever Mutlu E, Kaya M, Küçük I, Ben-nissan B, Stamboulis A. Exosome Structures Supported by Machine Learning Can Be Used as a Promising Diagnostic Tool. Materials 2022;15:7967. [DOI: 10.3390/ma15227967] [Reference Citation Analysis]
2 Hossain MZ, Daskalaki E, Brüstle A, Desborough J, Lueck CJ, Suominen H. The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review. BMC Med Inform Decis Mak 2022;22. [DOI: 10.1186/s12911-022-01985-5] [Reference Citation Analysis]
3 Xie GY, Liu CJ, Guo AY. EVAtool: an optimized reads assignment tool for small ncRNA quantification and its application in extracellular vesicle datasets. Brief Bioinform 2022:bbac310. [PMID: 35901462 DOI: 10.1093/bib/bbac310] [Reference Citation Analysis]
4 Vázquez-Marrufo M, Sarrias-Arrabal E, García-Torres M, Martín-Clemente R, Izquierdo G. A systematic review of the application of machine-learning algorithms in multiple sclerosis. Neurologia (Engl Ed) 2022:S2173-5808(22)00075-X. [PMID: 35843587 DOI: 10.1016/j.nrleng.2020.10.013] [Reference Citation Analysis]
5 Dominguez-mozo MI, Casanova I, De Torres L, Aladro-benito Y, Perez-perez S, Garcia-martínez A, Gomez P, Abellan S, De Antonio E, Lopez-de-silanes C, Alvarez-lafuente R. microRNA Expression and Its Association With Disability and Brain Atrophy in Multiple Sclerosis Patients Treated With Glatiramer Acetate. Front Immunol 2022;13:904683. [DOI: 10.3389/fimmu.2022.904683] [Reference Citation Analysis]
6 Ali NM, Shaheen M, Mabrouk MS, Aborizka M. Machine Learning-Based Models for Detection of Biomarkers of Autoimmune Diseases by Fragmentation and Analysis of miRNA Sequences. Applied Sciences 2022;12:5583. [DOI: 10.3390/app12115583] [Reference Citation Analysis]
7 Bhattacharya T, Soares GABE, Chopra H, Rahman MM, Hasan Z, Swain SS, Cavalu S. Applications of Phyto-Nanotechnology for the Treatment of Neurodegenerative Disorders. Materials (Basel) 2022;15:804. [PMID: 35160749 DOI: 10.3390/ma15030804] [Cited by in Crossref: 34] [Cited by in F6Publishing: 34] [Article Influence: 34.0] [Reference Citation Analysis]
8 Iparraguirre L, Alberro A, Hansen TB, Castillo-Triviño T, Muñoz-Culla M, Otaegui D. Profiling of Plasma Extracellular Vesicle Transcriptome Reveals That circRNAs Are Prevalent and Differ between Multiple Sclerosis Patients and Healthy Controls. Biomedicines 2021;9:1850. [PMID: 34944665 DOI: 10.3390/biomedicines9121850] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
9 Gutiérrez-Fernández M, de la Cuesta F, Tallón A, Cuesta I, Fernández-Fournier M, Laso-García F, Gómez-de Frutos MC, Díez-Tejedor E, Otero-Ortega L. Potential Roles of Extracellular Vesicles as Biomarkers and a Novel Treatment Approach in Multiple Sclerosis. Int J Mol Sci 2021;22:9011. [PMID: 34445717 DOI: 10.3390/ijms22169011] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
10 Shetgaonkar GG, Marques SM, DCruz CEM, Vibhavari RJA, Kumar L, Shirodkar RK. Exosomes as cell-derivative carriers in the diagnosis and treatment of central nervous system diseases. Drug Deliv Transl Res 2021. [PMID: 34365576 DOI: 10.1007/s13346-021-01026-0] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 6.0] [Reference Citation Analysis]
11 Tian Y, Fu C, Wu Y, Lu Y, Liu X, Zhang Y. Central Nervous System Cell-Derived Exosomes in Neurodegenerative Diseases. Oxid Med Cell Longev 2021;2021:9965564. [PMID: 34336127 DOI: 10.1155/2021/9965564] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
12 Mirzaei R, Zamani F, Hajibaba M, Rasouli-Saravani A, Noroozbeygi M, Gorgani M, Hosseini-Fard SR, Jalalifar S, Ajdarkosh H, Abedi SH, Keyvani H, Karampoor S. The pathogenic, therapeutic and diagnostic role of exosomal microRNA in the autoimmune diseases. J Neuroimmunol 2021;358:577640. [PMID: 34224949 DOI: 10.1016/j.jneuroim.2021.577640] [Cited by in Crossref: 19] [Cited by in F6Publishing: 16] [Article Influence: 19.0] [Reference Citation Analysis]
13 Meldolesi J. Extracellular vesicles (exosomes and ectosomes) play key roles in the pathology of brain diseases. Mol Biomed 2021;2:18. [PMID: 35006460 DOI: 10.1186/s43556-021-00040-5] [Cited by in Crossref: 5] [Cited by in F6Publishing: 7] [Article Influence: 5.0] [Reference Citation Analysis]
14 Monteiro-Reis S, Carvalho-Maia C, Bart G, Vainio SJ, Pedro J, Silva ER, Sales G, Henrique R, Jerónimo C. Secreted Extracellular Vesicle Molecular Cargo as a Novel Liquid Biopsy Diagnostics of Central Nervous System Diseases. Int J Mol Sci 2021;22:3267. [PMID: 33806874 DOI: 10.3390/ijms22063267] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
15 Jin T, Gu J, Li Z, Xu Z, Gui Y. Recent Advances on Extracellular Vesicles in Central Nervous System Diseases. Clin Interv Aging 2021;16:257-74. [PMID: 33603351 DOI: 10.2147/CIA.S288415] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 14.0] [Reference Citation Analysis]
16 Vázquez-Marrufo M, Sarrias-Arrabal E, García-Torres M, Martín-Clemente R, Izquierdo G. A systematic review of the application of machine-learning algorithms in multiple sclerosis. Neurologia (Engl Ed) 2021:S0213-4853(20)30431-X. [PMID: 33549371 DOI: 10.1016/j.nrl.2020.10.017] [Reference Citation Analysis]
17 Marostica G, Gelibter S, Gironi M, Nigro A, Furlan R. Extracellular Vesicles in Neuroinflammation. Front Cell Dev Biol 2020;8:623039. [PMID: 33553161 DOI: 10.3389/fcell.2020.623039] [Cited by in Crossref: 19] [Cited by in F6Publishing: 20] [Article Influence: 19.0] [Reference Citation Analysis]
18 Ali NM, Shaheen M, Mabrouk MS, Aborizka MA. A Novel Approach of Transcriptomic microRNA Analysis Using Text Mining Methods: An Early Detection of Multiple Sclerosis Disease. IEEE Access 2021;9:120024-33. [DOI: 10.1109/access.2021.3109069] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
19 Nuzziello N, Liguori M. Pharmacoepigenomics in neurodegenerative diseases. Medical Epigenetics 2021. [DOI: 10.1016/b978-0-12-823928-5.00008-6] [Reference Citation Analysis]
20 Soleymaninejadian E. Exosome a Story From Waste to Become a Gold Mine. Jentashapir J Cell Mol Biol 2020;11. [DOI: 10.5812/jjcmb.107622] [Reference Citation Analysis]
21 Nuzziello N, Ciaccia L, Liguori M. Precision Medicine in Neurodegenerative Diseases: Some Promising Tips Coming from the microRNAs' World. Cells 2019;9:E75. [PMID: 31892254 DOI: 10.3390/cells9010075] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 3.0] [Reference Citation Analysis]