Bioinformatics approach to analyse COVID-19 biomarkers accountable for generation of intracranial aneurysm in COVID-19 patients
Tài liệu tham khảo
2020, Post-COVID-19 global health strategies: the need for an interdisciplinary approach, Aging Clin Exp Res, 32, 1613, 10.1007/s40520-020-01616-x
Ibrahim, 2020, Epidemiologic surveillance for controlling Covid-19 pandemic: types, challenges and implications, Journal of infection and public health, 13, 1630, 10.1016/j.jiph.2020.07.019
Mehraeen, 2021, Transmission modes of COVID-19: a systematic review, Infect Disord - Drug Targets, 21, 27, 10.2174/22123989MTExjNTEn0
Shahid, 2020, COVID‐19 and older adults: what we know, J Am Geriatr Soc, 68, 926, 10.1111/jgs.16472
Sarohan, 2021, A novel hypothesis for COVID-19 pathogenesis: retinol depletion and retinoid signaling disorder, Cell Signal, 87, 10.1016/j.cellsig.2021.110121
Clerkin, 2020, COVID-19 and cardiovascular disease, Circulation, 141, 1648, 10.1161/CIRCULATIONAHA.120.046941
Nishiga, 2020, COVID-19 and cardiovascular disease: from basic mechanisms to clinical perspectives, Nat Rev Cardiol, 17, 543, 10.1038/s41569-020-0413-9
Muniyappa, 2020, COVID-19 pandemic, coronaviruses, and diabetes mellitus, Am J Physiol Endocrinol Metab, 318, E736, 10.1152/ajpendo.00124.2020
Wu, 2020, Nervous system involvement after infection with COVID-19 and other coronaviruses, Brain Behav Immun, 87, 18, 10.1016/j.bbi.2020.03.031
Ceraudo, 2022, De novo intracranial aneurysm formation in SARS-CoV-2 infection: first report of a yet unknown complication, Int J Neurosci, 1, 10.1080/00207454.2022.2079500
Khan, 2022, Intracranial aneurysm rupture after SARS-CoV2 infection: case report and review of literature, Pathogens, 11, 617, 10.3390/pathogens11060617
Zhou, 2018, Genetics of intracranial aneurysms, Stroke, 49, 780, 10.1161/STROKEAHA.117.018152
Jung, 2018, New pathophysiological considerations on cerebral aneurysms, Neurointervention, 13, 73, 10.5469/neuroint.2018.01011
Backes, 2014, Difference in aneurysm characteristics between ruptured and unruptured aneurysms in patients with multiple intracranial aneurysms, Stroke, 45, 1299, 10.1161/STROKEAHA.113.004421
Etminan, 2017, Management of aneurysmal subarachnoid hemorrhage, Handb Clin Neurol, 140, 195, 10.1016/B978-0-444-63600-3.00012-X
Zong, 2021, Identification of causal genes of COVID-19 using the SMR method, Front Genet, 12, 10.3389/fgene.2021.690349
Mineharu, 2006, Association analysis of common variants of ELN, NOS2A, APOE and ACE2 to intracranial aneurysm, Stroke, 37, 1189, 10.1161/01.STR.0000217408.91389.4d
Schoch, 2020, 2020
Ji, 2018, RNA‐seq: basic bioinformatics analysis, Curr Protoc Mol Biol, 124, e68, 10.1002/cpmb.68
Mahi, 2019, GREIN: an interactive web platform for re-analyzing GEO RNA-seq data, Sci Rep, 9, 1, 10.1038/s41598-019-43935-8
Egal, 2019, Analysis of amplified genes in samples of pleomorphic adenoma and carcinoma ex pleomorphic adenoma by CGH-array technique, Am J Clin Pathol, 152, S51, 10.1093/ajcp/aqz113.034
Kuleshov, 2016, Enrichr: a comprehensive gene set enrichment analysis web server 2016 update, Nucleic Acids Res, 44, W90, 10.1093/nar/gkw377
Mahmud, 2021, Bioinformatics and system biology approach to identify the influences of SARS-CoV-2 infections to idiopathic pulmonary fibrosis and chronic obstructive pulmonary disease patients, Briefings Bioinf, 22
Jin, 2014, Pathway-based analysis tools for complex diseases: a review.Genomics, proteomics & bioinformatics, 12, 210
Gene Ontology, 2015, vol. 43, D1049
Rahman, 2020, A network-based bioinformatics approach to identify molecular biomarkers for type 2 diabetes that are linked to the progression of neurological diseases, Int J Environ Res Publ Health, 17, 1035, 10.3390/ijerph17031035
Ogata, 1998, Computation with the KEGG pathway database, Biosystems, 47, 119, 10.1016/S0303-2647(98)00017-3
Fabregat, 2018, The reactome pathway knowledgebase, Nucleic Acids Res, 46, D649, 10.1093/nar/gkx1132
Consortium, 2001, Creating the gene ontology resource: design and implementation, Genome Res, 11, 1425, 10.1101/gr.180801
Nishimura, 2001, Biotech software & internet report: the computer software journal for scient, BioCarta, 2, 117
Szklarczyk, 2019, STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets, Nucleic Acids Res, 47, D607, 10.1093/nar/gky1131
Shannon, 2003, Cytoscape: a software environment for integrated models of biomolecular interaction networks, Genome Res, 13, 2498, 10.1101/gr.1239303
Zhou, 2019, NetworkAnalyst 3.0: a visual analytics platform for comprehensive gene expression profiling and meta-analysis, Nucleic Acids Res, 47, W234, 10.1093/nar/gkz240
Jou, 2019, The ENCODE portal as an epigenomics resource, Current protocols in bioinformatics, 68, e89, 10.1002/cpbi.89
Fornes, 2020, Jaspar 2020: update of the open-access database of transcription factor binding profiles, Nucleic Acids Res, 48, D87
Karagkouni, 2018, DIANA-TarBase v8: a decade-long collection of experimentally supported miRNA–gene interactions, Nucleic Acids Res, 46, D239, 10.1093/nar/gkx1141
Huang, 2020, Updates to the experimentally validated microRNA–target interaction database, Nucleic Acids Res, 48, D148
Wishart, 2018, DrugBank 5.0: a major update to the DrugBank database for 2018, Nucleic Acids Res, 46, D1074, 10.1093/nar/gkx1037
Hasan, 2020, Design protein-protein interaction network and protein-drug interaction network for common cancer diseases: a bioinformatics approach, Inform Med Unlocked, 18, 10.1016/j.imu.2020.100311
de Azevedo, 2009, Protein-drug interaction studies for development of drugs against Plasmodium falciparum, Curr Drug Targets, 10, 271, 10.2174/138945009787581104
Yang, 2006, Monitoring drug–protein interaction, Clin Chim Acta, 365, 9, 10.1016/j.cca.2005.08.021
Kurgan, 2018, Survey of similarity-based prediction of drug-protein interactions, Curr Med Chem, 27, 5856
Xia, 2015, NetworkAnalyst for statistical, visual and network-based meta-analysis of gene expression data, Nat Protoc, 10, 823, 10.1038/nprot.2015.052
Haleem, 2020, Effects of COVID-19 pandemic in daily life, Current medicine research and practice, 10, 78, 10.1016/j.cmrp.2020.03.011
Chin, 2014, cytoHubba: identifying hub objects and sub-networks from complex interactome, BMC Syst Biol, 8, 1
Lambert, 2018, The human transcription factors, Cell, 172, 650, 10.1016/j.cell.2018.01.029
Moradifard, 2018, Analysis of microRNA and gene expression profiles in Alzheimer's disease: a meta-analysis approach, Sci Rep, 8, 1, 10.1038/s41598-018-20959-0
Nevídalová, 2018, In‐depth insight into the methods of plasma protein‐drug interaction studies: comparison of capillary electrophoresis‐frontal analysis, isothermal titration calorimetry, circular dichroism and equilibrium dialysis, Electrophoresis, 39, 581, 10.1002/elps.201700325
Onyeaka, 2021, COVID-19 pandemic: a review of the global lockdown and its far-reaching effects, Sci Prog, 104, 10.1177/00368504211019854
Mishra, 2020
Mastaglio, 2020, The first case of COVID-19 treated with the complement C3 inhibitor AMY-101, Clin Immunol, 215, 10.1016/j.clim.2020.108450
Hussain, 2015, Search for biomarkers of intracranial aneurysms: a systematic review, World neurosurgery, 84, 1473, 10.1016/j.wneu.2015.06.034
Provenzi, 2020, Measuring the Outcomes of Maternal COVID-19-related Prenatal Exposure (MOM-COPE): study protocol for a multicentric longitudinal project, BMJ Open, 10, 10.1136/bmjopen-2020-044585
Shi, 2009, Genomics of human intracranial aneurysm wall, Stroke, 40, 1252, 10.1161/STROKEAHA.108.532036
Horenstein, 2021, CD38 in the age of COVID-19: a medical perspective, Physiol Rev, 101, 1457, 10.1152/physrev.00046.2020
Chaudhry, 2018
Lu, 2021, A potential role of interleukin 10 in COVID-19 pathogenesis, Trends Immunol, 42, 3, 10.1016/j.it.2020.10.012
Sathyan, 2015, Pathogenesis of intracranial aneurysm is mediated by proinflammatory cytokine TNFA and IFNG and through stochastic regulation of IL10 and TGFB1 by comorbid factors, J Neuroinflammation, 12, 1
Aamodt, 2021, Blood neurofilament light concentration at admittance: a potential prognostic marker in COVID-19, J Neurol, 268, 3574, 10.1007/s00415-021-10517-6
Tülü, 2015, Remote ischemic preconditioning in the prevention of ischemic brain damage during intracranial aneurysm treatment (RIPAT): study protocol for a randomized controlled trial, Trials, 16, 1, 10.1186/s13063-015-1102-6
Mehta, 2022, Antiviral metabolite 3′-deoxy-3′, 4′-didehydro-cytidine is detectable in serum and identifies acute viral infections including COVID-19, Méd, 3, 204
Wang, 2020, Gene expression profiles and related immune-inflammatory factors in the cerebral arteries in mouse models of subarachnoid haemorrhage, Biotechnol Biotechnol Equip, 34, 1234, 10.1080/13102818.2020.1829049
Cao, 2021, ISG15 secretion exacerbates inflammation in SARS-CoV-2 infection, Nat Immunol, 22, 1360, 10.1038/s41590-021-01056-3
Diagbouga, 2019
Dadak, 2017, Gain-of-function STAT1 mutations are associated with intracranial aneurysms, Clin Immunol, 178, 79, 10.1016/j.clim.2017.01.012
Galatioto, 2018, Cell type–specific contributions of the angiotensin II type 1a receptor to aorta homeostasis and aneurysmal disease—brief report, Arterioscler Thromb Vasc Biol, 38, 588, 10.1161/ATVBAHA.117.310609
Chalouhi, 2013, Localized increase of chemokines in the lumen of human cerebral aneurysms, Stroke, 44, 2594, 10.1161/STROKEAHA.113.002361
Tutino, 2021, Identification of circulating gene expression signatures of intracranial aneurysm in peripheral blood mononuclear cells, Diagnostics, 11, 1092, 10.3390/diagnostics11061092
Aoki, 2009, Impact of monocyte chemoattractant protein-1 deficiency on cerebral aneurysm formation, Stroke, 40, 942, 10.1161/STROKEAHA.108.532556
Kanematsu, 2011, Critical roles of macrophages in the formation of intracranial aneurysm, Stroke, 42, 173, 10.1161/STROKEAHA.110.590976