References
- Alhumaydhi, F. A. (2022). Integrated computational approaches to screen gene expression data to determine key genes and therapeutic targets for type-2 diabetes mellitus. Saudi Journal of Biological Sciences, 29(5), 3276–3286. https://doi.org/10.1016/j.sjbs.2022.02.004
- Alsulaimany, F. A., Zabermawi, N. M. O., Almukadi, H., Parambath, S. V., Shetty, P. J., Vaidyanathan, V., Elango, R., Babanaganapalli, B., & Shaik, N. A. (2021). Transcriptome-Based Molecular networks uncovered interplay between druggable Genes of CD8+ T cells and changes in immune cell landscape in patients with pulmonary tuberculosis. Frontiers in Medicine, 8, 812857. https://doi.org/10.3389/FMED.2021.812857/BIBTEX
- Angelucci, F., Cechova, K., Valis, M., Kuca, K., Zhang, B., & Hort, J. (2019). MicroRNAs in Alzheimer’s disease: Diagnostic markers or therapeutic agents? Frontiers in Pharmacology, 10(JUN), 665. https://doi.org/10.3389/fphar.2019.00665
- Antonell, A., Lladó, A., Altirriba, J., Botta-Orfila, T., Balasa, M., Fernández, M., Ferrer, I., Sánchez-Valle, R., & Molinuevo, J. L. (2013). A preliminary study of the whole-genome expression profile of sporadic and monogenic early-onset Alzheimer’s disease. Neurobiology of Aging, 34(7), 1772–1778. https://doi.org/10.1016/J.NEUROBIOLAGING.2012.12.026
- Antonucci, F., Corradini, I., Fossati, G., Tomasoni, R., Menna, E., & Matteoli, M. (2016). SNAP-25, a known presynaptic protein with emerging postsynaptic functions. Frontiers in Synaptic Neuroscience, 8(MAR), 7. https://doi.org/10.3389/FNSYN.2016.00007
- Barbier, P., Zejneli, O., Martinho, M., Lasorsa, A., Belle, V., Smet-Nocca, C., Tsvetkov, P. O., Devred, F., & Landrieu, I. (2019). Role of tau as a microtubule-associated protein: Structural and functional aspects. Frontiers in Aging Neuroscience, 11(JUL), 204. https://doi.org/10.3389/fnagi.2019.00204
- Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society, 57(1), 289–300. https://doi.org/10.1111/j.2517-6161.1995.tb02031.x
- Bindea, G., Mlecnik, B., Hackl, H., Charoentong, P., Tosolini, M., Kirilovsky, A., Fridman, W. H., Pagès, F., Trajanoski, Z., & Galon, J. (2009). ClueGO: A Cytoscape plug-in to decipher functionally grouped gene ontology and pathway annotation networks. Bioinformatics (Oxford, England), 25(8), 1091–1093. https://doi.org/10.1093/BIOINFORMATICS/BTP101
- Blalock, E. M., Buechel, H. M., Popovic, J., Geddes, J. W., & Landfield, P. W. (2011). Microarray analyses of laser-captured hippocampus reveal distinct gray and white matter signatures associated with incipient Alzheimer’s disease. Journal of Chemical Neuroanatomy, 42(2), 118–126. https://doi.org/10.1016/J.JCHEMNEU.2011.06.007
- Blalock, E. M., Geddes, J. W., Chen, K. C., Porter, N. M., Markesbery, W. R., & Landfield, P. W. (2004). Incipient Alzheimer’s disease: Microarray correlation analyses reveal major transcriptional and tumor suppressor responses. Proceedings of the National Academy of Sciences of the United States of America, 101(7), 2173–2178. https://doi.org/10.1073/PNAS.0308512100
- Bradberry, M. M., Courtney, N. A., Dominguez, M. J., Lofquist, S. M., Knox, A. T., Sutton, R. B., & Chapman, E. R. (2020). Molecular basis for synaptotagmin-1-associated neurodevelopmental disorder. Neuron, 107(1), 52–64.e7. https://doi.org/10.1016/J.NEURON.2020.04.003
- Brinkmalm, A., Larsson, V., Janelidze, S., Zetterberg, H., Blennow, K., & Hansson, O. (2020). Cerebrospinal fluid levels of SNAP-25 and SYT1 in Alzheimer’s and Parkinson’s disease. Alzheimer’s & Dementia, 16(S4), e044515. https://doi.org/10.1002/ALZ.044515
- Brooks, B. R., Brooks, C. L., Mackerell, A. D., Nilsson, L., Petrella, R. J., Roux, B., Won, Y., Archontis, G., Bartels, C., Boresch, S., Caflisch, A., Caves, L., Cui, Q., Dinner, A. R., Feig, M., Fischer, S., Gao, J., Hodoscek, M., Im, W., … Karplus, M. (2009). CHARMM: The biomolecular simulation program. Journal of Computational Chemistry, 30(10), 1545–1614. https://doi.org/10.1002/JCC.21287
- Calderone, A., Jover, T., Noh, K. M., Tanaka, H., Yokota, H., Lin, Y., Grooms, S. Y., Regis, R., Bennett, M. V. L., & Zukin, R. S. (2003). Ischemic insults derepress the gene silencer REST in neurons destined to die. The Journal of Neuroscience, 23(6), 2112–2121. https://doi.org/10.1523/JNEUROSCI.23-06-02112.2003
- Chaudhary, A., Maurya, P. K., Yadav, B. S., Singh, S., & Mani, A. (2018). Current therapeutic targets for Alzheimer’s Disease. Journal of Biomedicine, 3, 74–84. https://doi.org/10.7150/jbm.26783
- Chen, C., Liu, P., Wang, J., Yu, H., Zhang, Z., Liu, J., Chen, X., Zhu, F., & Yang, X. (2020). Dauricine attenuates spatial memory impairment and Alzheimer-like pathologies by enhancing mitochondrial function in a mouse model of Alzheimer’s Disease. Frontiers in Cell and Developmental Biology, 8, 624339. https://doi.org/10.3389/FCELL.2020.624339/BIBTEX
- Chen, G. F., Xu, T. H., Yan, Y., Zhou, Y. R., Jiang, Y., Melcher, K., & Xu, H. E. (2017). Amyloid beta: Structure, biology and structure-based therapeutic development. Acta Pharmacologica Sinica, 38(9), 1205–1235. https://doi.org/10.1038/aps.2017.28
- Chen, Y., Hu, S., Wu, X., Xie, Z., Wang, Y., Wang, B., Li, X., Pei, Y., Gu, Y., Huang, K., Huo, J., Wei, A., Bi, C., Lu, Z., Song, Q., Xu, H., Kang, X., Shao, S., Long, J., … Wang, C. (2022). Synaptotagmin-1 is a bidirectional Ca2+ sensor for neuronal endocytosis. Proceedings of the National Academy of Sciences of the United States of America, 119(20), e2111051119. https://doi.org/10.1073/PNAS.2111051119/SUPPL_FILE/PNAS.2111051119.SAPP.PDF
- Chin, C. H., Chen, S. H., Wu, H. H., Ho, C. W., Ko, M. T., & Lin, C. Y. (2014). CytoHubba: Identifying hub objects and sub-networks from complex interactome. BMC Systems Biology, 8(S4), S11. https://doi.org/10.1186/1752-0509-8-S4-S11
- Chubinskaya, S., Mikhail, R., Deutsch, A., & Tindal, M. H. (2001). ADAM-10 protein is present in human articular cartilage primarily in the membrane-bound form and is upregulated in osteoarthritis and in Response to IL-1 in Bovine Nasal Cartilage. The Journal of Histochemistry and Cytochemistry, 49(9), 1165–1176. https://doi.org/10.1177/002215540104900910
- Cissé, M., Halabisky, B., Harris, J., Devidze, N., Dubal, D. B., Sun, B., Orr, A., Lotz, G., Kim, D. H., Hamto, P., Ho, K., Yu, G. Q., & Mucke, L. (2011). Reversing EphB2 depletion rescues cognitive functions in Alzheimer model. Nature, 469(7328), 47–52. https://doi.org/10.1038/NATURE09635
- Corradi, A., Fadda, M., Piton, A., Patry, L., Marte, A., Rossi, P., Cadieux-Dion, M., Gauthier, J., Lapointe, L., Mottron, L., Valtorta, F., Rouleau, G. A., Fassio, A., Benfenati, F., & Cossette, P. (2014). SYN2 is an autism predisposing gene: Loss-of-function mutations alter synaptic vesicle cycling and axon outgrowth. Human Molecular Genetics, 23(1), 90–103. https://doi.org/10.1093/HMG/DDT401
- Corradini, I., Verderio, C., Sala, M., Wilson, M. C., & Matteoli, M. (2009). SNAP-25 in neuropsychiatric disorders. Annals of the New York Academy of Sciences, 1152(1), 93–99. https://doi.org/10.1111/j.1749-6632.2008.03995.x
- Crino, P. B. (2018). Polymicrogyria and GRIN1 mutations: Altered connections, altered excitability. Brain, 141(3), 622–623. https://doi.org/10.1093/BRAIN/AWY047
- D’ Aniello, F., Santos, B., & Guglietta, A. (2015). Lorediplon: A new GABAA modulator drug for treatment of insomnia. Milestones in Drug Therapy, 49, 121–145. https://doi.org/10.1007/978-3-319-11514-6_6
- Das, S., Chakraborty, S., & Basu, S. (2019). Hybrid approach to sieve out natural compounds against dual targets in Alzheimer’s Disease. Scientific Reports, 9(1), 3714. https://doi.org/10.1038/s41598-019-40271-9
- Defrancesco, M., Marksteiner, J., Wolfgang Fleischhacker, W., & Blasko, I. (2015). Use of Benzodiazepines in Alzheimer’s Disease: A systematic review of literature. The International Journal of Neuropsychopharmacology, 18(10), pyv055. https://doi.org/10.1093/IJNP/PYV055
- Dunckley, T., Beach, T. G., Ramsey, K. E., Grover, A., Mastroeni, D., Walker, D. G., LaFleur, B. J., Coon, K. D., Brown, K. M., Caselli, R., Kukull, W., Higdon, R., McKeel, D., Morris, J. C., Hulette, C., Schmechel, D., Reiman, E. M., Rogers, J., & Stephan, D. A. (2006). Gene expression correlates of neurofibrillary tangles in Alzheimer’s disease. Neurobiology of Aging, 27(10), 1359–1371. https://doi.org/10.1016/J.NEUROBIOLAGING.2005.08.013
- Feigin, V. L., Nichols, E., Alam, T., Bannick, M. S., Beghi, E., Blake, N., Culpepper, W. J., Dorsey, E. R., Elbaz, A., Ellenbogen, R. G., Fisher, J. L., Fitzmaurice, C., Giussani, G., Glennie, L., James, S. L., Johnson, C. O., Kassebaum, N. J., Logroscino, G., Marin, B., … Vos, T. (2019). Global, regional, and national burden of neurological disorders, 1990–2016: A systematic analysis for the Global Burden of Disease Study 2016. The Lancet Neurology, 18(5), 459–480. https://doi.org/10.1016/S1474-4422(18)30499-X
- Filho, A. O., Dias, D., Miranda, Á., & Hebling, E. (2018). Oral myiasis in older adult with severe Alzheimer’s disease. Special Care in Dentistry, 38(2), 99–106. https://doi.org/10.1111/SCD.12277
- Forli, S., Huey, R., Pique, M. E., Sanner, M. F., Goodsell, D. S., & Olson, A. J. (2016). Computational protein-ligand docking and virtual drug screening with the AutoDock suite. Nature Protocols, 11(5), 905–919. https://doi.org/10.1038/nprot.2016.051
- Formisano, L., Guida, N., Valsecchi, V., Cantile, M., Cuomo, O., Vinciguerra, A., Laudati, G., Pignataro, G., Sirabella, R., Di Renzo, G., & Annunziato, L. (2015). Sp3/REST/HDAC1/HDAC2 complex represses and Sp1/HIF-1/p300 complex activates ncx1 gene transcription, in brain ischemia and in ischemic brain preconditioning, by epigenetic mechanism. The Journal of Neuroscience, 35(19), 7332–7348. https://doi.org/10.1523/JNEUROSCI.2174-14.2015
- Forner, S., Baglietto-Vargas, D., Martini, A. C., Trujillo-Estrada, L., & LaFerla, F. M. (2017). Synaptic impairment in Alzheimer’s Disease: A dysregulated symphony. Trends in Neurosciences, 40(6), 347–357. https://doi.org/10.1016/J.TINS.2017.04.002
- Franceschini, A., Szklarczyk, D., Frankild, S., Kuhn, M., Simonovic, M., Roth, A., Lin, J., Minguez, P., Bork, P., Von Mering, C., & Jensen, L. J. (2013). STRING v9.1: Protein-protein interaction networks, with increased coverage and integration. Nucleic Acids Research, 41(Database issue), D808–D815. https://doi.org/10.1093/nar/gks1094
- Francis, R., McGrath, G., Zhang, J., Ruddy, D. A., Sym, M., Apfeld, J., Nicoll, M., Maxwell, M., Hai, B., Ellis, M. C., Parks, A. L., Xu, W., Li, J., Gurney, M., Myers, R. L., Himes, C. S., Hiebsch, R., Ruble, C., Nye, J. S., & Curtis, D. (2002). aph-1 and pen-2 are required for Notch pathway signaling, γ-secretase cleavage of βAPP, and presenilin protein accumulation. Developmental Cell, 3(1), 85–97. https://doi.org/10.1016/S1534-5807(02)00189-2
- Fry, A. E., Fawcett, K. A., Zelnik, N., Yuan, H., Thompson, B. A. N., Shemer-Meiri, L., Cushion, T. D., Mugalaasi, H., Sims, D., Stoodley, N., Chung, S.-K., Rees, M. I., Patel, C. V., Brueton, L. A., Layet, V., Giuliano, F., Kerr, M. P., Banne, E., Meiner, V., … Pilz, D. T. (2018). De novo mutations in GRIN1 cause extensive bilateral polymicrogyria. Brain, 141(3), 698–712. https://doi.org/10.1093/BRAIN/AWX358
- Furuya, T. K., Silva, P. N. O., Payão, S. L. M., Bertolucci, P. H. F., Rasmussen, L. T., De Labio, R. W., Braga, I. L. S., Chen, E. S., Turecki, G., Mechawar, N., Mill, J., & Smith, M. A. C. (2012). Analysis of SNAP25 mRNA expression and promoter DNA methylation in brain areas of Alzheimer’s Disease patients. Neuroscience, 220, 41–46. https://doi.org/10.1016/J.NEUROSCIENCE.2012.06.035
- Ghit, A., Assal, D., Al-Shami, A. S., & Hussein, D. E. E. (2021). GABAA receptors: Structure, function, pharmacology, and related disorders. Journal of Genetic Engineering and Biotechnology, 19(1), 15. https://doi.org/10.1186/s43141-021-00224-0
- Giasson, B. I., Forman, M. S., Higuchi, M., Golbe, L. I., Graves, C. L., Kotzbauer, P. T., Trojanowski, J. Q., & Lee, V. M.-Y. (2003). Initiation and Synergistic Fibrillization of Tau and alpha-synuclein. Science, 300(5619), 636–640. https://doi.org/10.1126/science.1082324
- Hackos, D. H., Lupardus, P. J., Grand, T., Chen, Y., Wang, T. M., Reynen, P., Gustafson, A., Wallweber, H. J. A., Volgraf, M., Sellers, B. D., Schwarz, J. B., Paoletti, P., Sheng, M., Zhou, Q., & Hanson, J. E. (2016). Positive allosteric modulators of GluN2A-containing NMDARs with distinct modes of action and impacts on circuit function. Neuron, 89(5), 983–999. https://doi.org/10.1016/J.NEURON.2016.01.016
- Hwang, J. Y., & Zukin, R. S. (2018). REST, a master transcriptional regulator in neurodegenerative disease. Current Opinion in Neurobiology, 48, 193–200. https://doi.org/10.1016/J.CONB.2017.12.008
- Janky, R., Verfaillie, A., Imrichová, H., van de Sande, B., Standaert, L., Christiaens, V., Hulselmans, G., Herten, K., Naval Sanchez, M., Potier, D., Svetlichnyy, D., Kalender Atak, Z., Fiers, M., Marine, J. C., & Aerts, S. (2014). iRegulon: From a gene list to a gene regulatory network using large motif and track collections. PLoS Computational Biology, 10(7), e1003731. https://doi.org/10.1371/JOURNAL.PCBI.1003731
- Kaneko, N., Hwang, J. Y., Gertner, M., Pontarelli, F., & Suzanne Zukin, R. (2014). Casein Kinase 1 suppresses activation of REST in insulted hippocampal neurons and halts ischemia-induced neuronal death. The Journal of Neuroscience, 34(17), 6030–6039. https://doi.org/10.1523/JNEUROSCI.4045-13.2014
- Kolarova, M., García-Sierra, F., Bartos, A., Ricny, J., & Ripova, D. (2012). Structure and pathology of tau protein in Alzheimer disease. International Journal of Alzheimer’s Disease, 2012, 731526–731513. https://doi.org/10.1155/2012/731526
- Larson, M. E., Greimel, S. J., Amar, F., LaCroix, M., Boyle, G., Sherman, M. A., Schley, H., Miel, C., Schneider, J. A., Kayed, R., Benfenati, F., Lee, M. K., Bennett, D. A., & Lesné, S. E. (2017). Selective lowering of synapsins induced by oligomeric α-synuclein exacerbates memory deficits. Proceedings of the National Academy of Sciences of the United States of America, 114(23), E4648–E4657. https://doi.org/10.1073/PNAS.1704698114
- Liang, W. S., Dunckley, T., Beach, T. G., Grover, A., Mastroeni, D., Walker, D. G., Caselli, R. J., Kukull, W. A., McKeel, D., Morris, J. C., Hulette, C., Schmechel, D., Alexander, G. E., Reiman, E. M., Rogers, J., & Stephan, D. A. (2007). Gene expression profiles in anatomically and functionally distinct regions of the normal aged human brain. Physiological Genomics, 28(3), 311–322. https://doi.org/10.1152/PHYSIOLGENOMICS.00208.2006
- Likhachev, I. V., Balabaev, N. K., & Galzitskaya, O. V. (2016). Available instruments for analyzing molecular dynamics trajectories. The Open Biochemistry Journal, 10(1), 1–11. https://doi.org/10.2174/1874091X01610010001
- Lim, W. K., Wang, K., Lefebvre, C., & Califano, A. (2007). Comparative analysis of microarray normalization procedures: Effects on reverse engineering gene networks. Bioinformatics, 23(13), i282–288. https://doi.org/10.1093/bioinformatics/btm201
- Liu, Y. p., Wu, X., Meng, J. h., Xing, J. x., Xuan, J. f., Xia, X., Yao, J., & Wang, B. j (2022). The effect of human GRIN1 gene 5′ functional region on gene expression regulation in vitro. Gene, 808, 145973. https://doi.org/10.1016/J.GENE.2021.145973
- Long, J. M., Ray, B., & Lahiri, D. K. (2012). MicroRNA-153 physiologically inhibits expression of amyloid-β precursor protein in cultured human fetal brain cells and is dysregulated in a subset of Alzheimer disease patients. The Journal of Biological Chemistry, 287(37), 31298–31310. https://doi.org/10.1074/jbc.M112.366336
- Maes, O. C., Schipper, H. M., Chertkow, H. M., & Wang, E. (2009). Methodology for discovery of Alzheimer’s disease blood-based biomarkers. The Journals of Gerontology, 64(6), 636–645. https://doi.org/10.1093/gerona/glp045
- Missoum, A. (2018). DNA microarray and bioinformatics technologies: A mini-review. Proceedings of the Nature Research Society, 2, 1–8. https://doi.org/10.11605/j.pnrs.201802010
- Morris, G. M., Ruth, H., Lindstrom, W., Sanner, M. F., Belew, R. K., Goodsell, D. S., & Olson, A. J. (2009). AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility. Journal of Computational Chemistry, 30(16), 2785–2791. https://doi.org/10.1002/JCC.21256
- Naidu, A., Nayak, S. S., Lulu S, S., & Sundararajan, V. (2023). Advances in computational frameworks in the fight against TB: The way forward. Frontiers in Pharmacology, 14, 1152915. https://doi.org/10.3389/FPHAR.2023.1152915/BIBTEX
- Nichols, E., Szoeke, C. E. I., Vollset, S. E., Abbasi, N., Abd-Allah, F., Abdela, J., Aichour, M. T. E., Akinyemi, R. O., Alahdab, F., Asgedom, S. W., Awasthi, A., Barker-Collo, S. L., Baune, B. T., Béjot, Y., Belachew, A. B., Bennett, D. A., Biadgo, B., Bijani, A., Bin Sayeed, M. S., … Murray, C. J. L. (2019). Global, regional, and national burden of Alzheimer’s disease and other dementias, 1990–2016: A systematic analysis for the Global Burden of Disease Study 2016. The Lancet Neurology, 18(1), 88–106. https://doi.org/10.1016/S1474-4422(18)30403-4
- Öhrfelt, A., Brinkmalm, A., Dumurgier, J., Brinkmalm, G., Hansson, O., Zetterberg, H., Bouaziz-Amar, E., Hugon, J., Paquet, C., & Blennow, K. (2016). The pre-synaptic vesicle protein synaptotagmin is a novel biomarker for Alzheimer’s disease. Alzheimer’s Research & Therapy, 8(1), 1–10. https://doi.org/10.1186/S13195-016-0208-8
- Outen, J., Rosenberg, P., Vandrey, R., Amjad, H., Burhanullah, H., Agronin, M., Castaneda, R., Isesalaya, M., Walsh, P., Ash, E., Cohen, L., Wilkins, J., Harper, D., & Forester, B. (2021). Pilot Trial of dronabinol adjunctive treatment of Agitation in Alzheimer’s Disease (THC-AD). The American Journal of Geriatric Psychiatry, 29(4), S115–S117. https://doi.org/10.1016/j.jagp.2021.01.111
- Ovsepian, S. V., O’Leary, V. B., Zaborszky, L., Ntziachristos, V., & Dolly, J. O. (2019). Amyloid plaques of Alzheimer’s Disease as hotspots of glutamatergic activity HHS public access. The Neuroscientist, 25(4), 288–297. https://doi.org/10.1177/1073858418791128
- Premkumar, T., & Sajitha Lulu, S. (2022). Molecular mechanisms of emerging therapeutic targets in Alzheimer’s Disease: A systematic review. Neurochemical Journal, 16(4), 443–455. https://doi.org/10.1134/S1819712422040183
- Premkumar, T., & Sajitha Lulu, S. (2023). Molecular crosstalk between COVID-19 and Alzheimer’s disease using microarray and RNA-seq datasets: A system biology approach. Frontiers in Medicine, 10, 1151046. https://doi.org/10.3389/fmed.2023.1151046
- Pronk, S., Páll, S., Schulz, R., Larsson, P., Bjelkmar, P., Apostolov, R., Shirts, M. R., Smith, J. C., Kasson, P. M., Van Der Spoel, D., Hess, B., & Lindahl, E. (2013). GROMACS 4.5: A high-throughput and highly parallel open source molecular simulation toolkit. Bioinformatics, 29(7), 845–854. https://doi.org/10.1093/bioinformatics/btt055
- Reitz, C. (2012). Alzheimer’s disease and the amyloid cascade hypothesis: A critical review. International Journal of Alzheimer’s Disease, 2012, 369808–369811. https://doi.org/10.1155/2012/369808
- Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015). Limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Research, 43(7), e47–e47. https://doi.org/10.1093/nar/gkv007
- Saputra, B. D., Levita, J., & Mustarichie, R. (2022). Efficacy, safety, and drug-drug interactions for insomnia therapy in COVID-19 patients. Journal of Multidisciplinary Healthcare, 15, 137–152. https://doi.org/10.2147/JMDH.S337053
- Sean, D., & Meltzer, P. S. (2007). GEOquery: A bridge between the gene expression omnibus (GEO) and BioConductor. Bioinformatics, 23(14), 1846–1847. https://doi.org/10.1093/bioinformatics/btm254
- Sędzikowska, A., & Szablewski, L. (2021). Insulin and insulin resistance in Alzheimer’s Disease. International Journal of Molecular Sciences, 22(18), 9987. https://doi.org/10.3390/IJMS22189987
- Shao, H., Zhang, Y., Dong, Y., Yu, B., Xia, W., & Xie, Z. (2014). Chronic treatment with anesthetic propofol improves cognitive function and attenuates caspase activation in both aged and Alzheimer’s disease transgenic mice. Journal of Alzheimer’s Disease, 41(2), 499–513. https://doi.org/10.3233/JAD-132792
- Shityakov, S., Skorb, E. V., Förster, C. Y., & Dandekar, T. (2021). Scaffold searching of FDA and EMA-approved drugs Identifies lead candidates for drug repurposing in Alzheimer’s Disease. Frontiers in Chemistry ,9(October), 1–12. https://doi.org/10.3389/fchem.2021.736509
- Shyu, B.-C., Gao, Z.-Y., Wu, J. J.-S., He, A. B. H., Cheng, C.-N., & Huang, A. C. W. (2021). Methamphetamine and modulation functionality of the Prelimbic Cortex for developing a possible treatment of Alzheimer’s Disease in an Animal Model. Frontiers in Aging Neuroscience, 13, 751913. https://doi.org/10.3389/FNAGI.2021.751913
- Sloniowski, S., & Ethell, I. M. (2012). Looking forward to EphB signaling in synapses. Seminars in Cell & Developmental Biology, 23(1), 75–82. https://doi.org/10.1016/J.SEMCDB.2011.10.020
- Srivastava, S., Cohen, J., Pevsner, J., Aradhya, S., Mcknight, D., Butler, E., Johnston, M., & Fatemi, A. (2014). A novel variant in GABRB2 associated with intellectual disability and epilepsy. American Journal of Medical Genetics, 164A(11), 2914–2921. https://doi.org/10.1002/AJMG.A.36714
- Stevens, S. R., & Rasband, M. N. (2021). Ankyrins and neurological disease. Current Opinion in Neurobiology, 69, 51–57. https://doi.org/10.1016/J.CONB.2021.01.002
- Valdés-Tresanco, M. S., Valdés-Tresanco, M. E., Valiente, P. A., & Moreno, E. (2021). gmx_MMPBSA: A new tool to perform end-state free energy calculations with GROMACS. Journal of Chemical Theory and Computation, 17(10), 6281–6291. https://doi.org/10.1021/acs.jctc.1c00645
- Vinicius, M., De Mello, C., Vieira, L., Cruz de Souza, L., Gomes, K., & Carvalho, M. (2019). Alzheimer’s disease: Risk factors and potentially protective measures. Journal of Biomedical Science, 26(1), 33. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6507104/ https://doi.org/10.1186/s12929-019-0524-y
- Whissell, P. D., Bang, J. Y., Khan, I., Xie, Y. F., Parfitt, G. M., Grenon, M., Plummer, N. W., Jensen, P., Bonin, R. P., & Kim, J. C. (2019). Selective activation of cholecystokinin-expressing GABA (CCK-GABA) neurons enhances memory and cognition. eneuro, 6(1), ENEURO.0360-18.2019. https://doi.org/10.1523/ENEURO.0360-18.2019
- Wickham, H. (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York https://doi.org/10.1007/978-3-319-24277-4
- Wong, N., & Wang, X. (2015). miRDB: An online resource for microRNA target prediction and functional annotations. Nucleic Acids Research, 43(Database issue), D146–D152. https://doi.org/10.1093/NAR/GKU1104
- Wu, S. L., Wang, W. F., Shyu, H. Y., Ho, Y. J., Shieh, J. C., Fu, Y. P., Wu, S. T., & Cheng, C. W. (2010). Association analysis of GRIN1 and GRIN2B polymorphisms and Parkinson’s disease in a hospital-based case-control study. Neuroscience Letters, 478(2), 61–65. https://doi.org/10.1016/J.NEULET.2010.04.063
- Yoshino, Y., Kumon, H., Shimokawa, T., Yano, H., Ochi, S., Funahashi, Y., Iga, J. I., Matsuda, S., Tanaka, J., & Ueno, S. I. (2022). Impact of gestational haloperidol exposure on miR-137-3p and Nr3c1 mRNA expression in hippocampus of offspring mice. The International Journal of Neuropsychopharmacology, 25(10), 853–862. https://doi.org/10.1093/ijnp/pyac044
- Yu, G., Wang, L. G., Han, Y., & He, Q. Y. (2012). ClusterProfiler: An R package for comparing biological themes among gene clusters. Omics, 16(5), 284–287. https://doi.org/10.1089/omi.2011.0118
- Zeidán-Chuliá, F., de Oliveira, B. H. N., Salmina, A. B., Casanova, M. F., Gelain, D. P., Noda, M., Verkhratsky, A., & Moreira, J. C. (2014). Altered expression of Alzheimer’s disease-related genes in the cerebellum of autistic patients: A model for disrupted brain connectome and therapy. Cell Death & Disease, 5(5), e1250. https://doi.org/10.1038/cddis.2014.227
- Zhagn, L., & Li, Z. (2014). Alzheimer and the discovery of Alzheimer’s disease. Zhonghua Yi Shi Za Zhi, 44(5), 288–290.
- Zhang, X., Wu, F., Yang, N., Zhan, X., Liao, J., Mai, S., & Huang, Z. (2022). In silico Methods for identification of potential therapeutic targets. Interdisciplinary Sciences, Computational Life Sciences, 14 (2), 285–310. https://doi.org/10.1007/s12539-021-00491-y
- Zhao, J., Liu, X., Xia, W., Zhang, Y., & Wang, C. (2020). Targeting amyloidogenic processing of APP in Alzheimer’s Disease. Frontiers in Molecular Neuroscience, 13(August), 137. https://doi.org/10.3389/fnmol.2020.00137
- Zhou, S., Zhang, D., Guo, J., Chen, Z., Chen, Y., & Zhang, J. (2021). Deficiency of NEAT1 prevented MPP+-induced inflammatory response, oxidative stress and apoptosis in dopaminergic SK-N-SH neuroblastoma cells via miR-1277-5p/ARHGAP26 axis. Brain Research, 1750, 147156. https://doi.org/10.1016/j.brainres.2020.147156
- Zhou, Y., Sun, Y., Ma, Q. H., & Liu, Y. (2018). Alzheimer’s disease: Amyloid-based pathogenesis and potential therapies. Cell Stress, 2(7), 150–161. https://doi.org/10.15698/cst2018.07.143
- Zhu, J., Zhao, Q., Katsevich, E., & Sabatti, C. &. (2019). Exploratory gene ontology analysis with interactive visualization. Scientific Reports, 9(1), 7793. https://doi.org/10.1038/s41598-019-42178-x
- Zhu, X., Liu, X., Liu, Y., Chang, W., Song, Y., & Zhu, S. (2020). Uncovering the potential differentially expressed miRNAs and mRNAs in ischemic stroke based on integrated analysis in the gene expression omnibus database. European Neurology, 83(4), 404–414. https://doi.org/10.1159/000507364