{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T16:05:42Z","timestamp":1790179542431,"version":"4.1.0"},"reference-count":58,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T00:00:00Z","timestamp":1785888000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T00:00:00Z","timestamp":1785888000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Mol Neurosci"],"DOI":"10.1007\/s12031-026-02579-w","type":"journal-article","created":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T08:18:08Z","timestamp":1785917888000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["miRNA\u2013mRNA Interaction Network Analysis in Alzheimer\u2019s Disease for Biomarker Discovery"],"prefix":"10.1007","volume":"76","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-7383-7645","authenticated-orcid":false,"given":"Abhishikta","family":"Ray","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-9201-345X","authenticated-orcid":false,"given":"Komal","family":"Agarwal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shrutika","family":"Jha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abanindra M.","family":"Singh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6371-1504","authenticated-orcid":false,"given":"Shalini","family":"Majumder","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-7462-3217","authenticated-orcid":false,"given":"Ekarsi","family":"Lodh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1511-1793","authenticated-orcid":false,"given":"Tapan","family":"Chowdhury","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"name":"The Alzheimer\u2019s Disease Neuroimaging Initiative","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,8,5]]},"reference":[{"issue":"16","key":"2579_CR1","doi-asserted-by":"publisher","first-page":"3127","DOI":"10.1007\/s00018-015-1922-2","volume":"72","author":"F Afonso-Grunz","year":"2015","unstructured":"Afonso-Grunz F, M\u00fcller S (2015) Principles of miRNA\u2013mRNA interactions: beyond sequence complementarity. Cell Mol Life Sci 72(16):3127\u20133141. https:\/\/doi.org\/10.1007\/s00018-015-1922-2","journal-title":"Cell Mol Life Sci"},{"key":"2579_CR2","doi-asserted-by":"publisher","unstructured":"Azam HMH (2024) Microrna biomarkers as next-generation diagnostic tools for neurodegenerative diseases: a comprehensive review. Front Mol Neurosci 17:1386735. https:\/\/doi.org\/10.3389\/fnmol.2024.1386735","DOI":"10.3389\/fnmol.2024.1386735"},{"issue":"1","key":"2579_CR3","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1038\/nrg2918","volume":"12","author":"A-L Barab\u00e1si","year":"2011","unstructured":"Barab\u00e1si A-L, Gulbahce N, Loscalzo J (2011) Network medicine: a network-based approach to human disease. Nat Rev Genet 12(1):56\u201368. https:\/\/doi.org\/10.1038\/nrg2918","journal-title":"Nat Rev Genet"},{"issue":"1","key":"2579_CR4","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1016\/j.cell.2018.03.006","volume":"173","author":"DP Bartel","year":"2018","unstructured":"Bartel DP (2018) Metazoan MicroRNAs. Cell 173(1):20\u201351. https:\/\/doi.org\/10.1016\/j.cell.2018.03.006","journal-title":"Cell"},{"issue":"1","key":"2579_CR5","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","volume":"57","author":"Y Benjamini","year":"1995","unstructured":"Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J Roy Stat Soc: Ser B (Methodol) 57(1):289\u2013300. https:\/\/doi.org\/10.1111\/j.2517-6161.1995.tb02031.x","journal-title":"J Roy Stat Soc: Ser B (Methodol)"},{"key":"2579_CR6","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1016\/j.socnet.2020.12.005","volume":"65","author":"P Bonacich","year":"2021","unstructured":"Bonacich P, Lloyd P (2021) Eigenvector-like measures of centrality for asymmetric relations. Soc Netw 65:73\u201390. https:\/\/doi.org\/10.1016\/j.socnet.2020.12.005","journal-title":"Soc Netw"},{"issue":"1","key":"2579_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4135\/9781071875824","volume":"2","author":"SP Borgatti","year":"2023","unstructured":"Borgatti SP, Everett MG, Johnson JC (2023) Analyzing social networks. SAGE Publ 2(1):1\u2013412. https:\/\/doi.org\/10.4135\/9781071875824","journal-title":"SAGE Publ"},{"issue":"5","key":"2579_CR8","doi-asserted-by":"publisher","first-page":"858","DOI":"10.1109\/tcss.2019.2931721","volume":"6","author":"T Chowdhury","year":"2019","unstructured":"Chowdhury T, Muhuri S, Chakraborty S, Chakraborty SN (2019) Analysis of adapted films and stories based on social network. IEEE Trans Comput Soc Syst 6(5):858\u2013869. https:\/\/doi.org\/10.1109\/tcss.2019.2931721","journal-title":"IEEE Trans Comput Soc Syst"},{"issue":"1","key":"2579_CR9","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1007\/s42001-025-00451-2","volume":"9","author":"T Chowdhury","year":"2026","unstructured":"Chowdhury T, Basu S, Roy A, Sarkar V, Mondal K, Lodh E, De M (2026) Graph-theoretic and emotional analysis of character dynamics in novel-to-film adaptations. J Comput Soc Sci 9(1):18. https:\/\/doi.org\/10.1007\/s42001-025-00451-2","journal-title":"J Comput Soc Sci"},{"issue":"1","key":"2579_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13059-020-1926-6","volume":"21","author":"A Conesa","year":"2020","unstructured":"Conesa A, Madrigal P, Tarazona S, Gomez-Cabrero D, Cervera A, McPherson A, Szcze\u015bniak M, Gaffney DJ, Maechler LP, Robinson MD (2020) A survey of best practices for rna-seq data analysis. Genome Biol 21(1):1\u201319. https:\/\/doi.org\/10.1186\/s13059-020-1926-6","journal-title":"Genome Biol"},{"issue":"D1","key":"2579_CR11","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1093\/nar\/gkae1072","volume":"53","author":"S Cui","year":"2024","unstructured":"Cui S, Yu S, Huang H-Y, Lin Y-C-D, Huang Y, Zhang B, Xiao J, Zuo H, Wang J, Li Z, Li G, Ma J, Chen B, Zhang H, Fu J, Wang L, Huang H-D (2024) miRTarBase 2025: updates to the collection of experimentally validated microRNA\u2013target interactions. Nucleic Acids Res 53(D1):147\u2013156. https:\/\/doi.org\/10.1093\/nar\/gkae1072","journal-title":"Nucleic Acids Res"},{"key":"2579_CR12","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1016\/j.cell.2015.12.056","volume":"164","author":"B De Strooper","year":"2016","unstructured":"De Strooper B, Karran E (2016) Molecular pathways of Alzheimer\u2019s disease. Cell 164:603\u2013615","journal-title":"Cell"},{"issue":"9","key":"2579_CR13","doi-asserted-by":"publisher","first-page":"4763","DOI":"10.3390\/ijms22094763","volume":"22","author":"C Delay","year":"2021","unstructured":"Delay C, Hachiya A, Guo W (2021) Micrornas targeting amyloid precursor protein and beta-secretase in Alzheimer\u2019s disease. Int J Mol Sci 22(9):4763. https:\/\/doi.org\/10.3390\/ijms22094763","journal-title":"Int J Mol Sci"},{"issue":"3","key":"2579_CR14","doi-asserted-by":"publisher","first-page":"491","DOI":"10.3390\/sym14030491","volume":"14","author":"A El-Gawady","year":"2022","unstructured":"El-Gawady A, Makhlouf MA, Tawfik BS, Nassar H (2022) Machine learning framework for the prediction of Alzheimer\u2019s disease using gene expression data based on efficient gene selection. Symmetry 14(3):491. https:\/\/doi.org\/10.3390\/sym14030491","journal-title":"Symmetry"},{"key":"2579_CR15","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1038\/s41576-019-0122-6","volume":"20","author":"G Eraslan","year":"2019","unstructured":"Eraslan G, Avsec \u017d, Gagneur J, Theis FJ (2019) Deep learning: new computational modelling techniques for genomics. Nat Rev Genet 20:389\u2013403. https:\/\/doi.org\/10.1038\/s41576-019-0122-6","journal-title":"Nat Rev Genet"},{"key":"2579_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuri.2022.100040","author":"S Gao","year":"2022","unstructured":"Gao S, Lima D (2022) A review of the application of deep learning in the detection of Alzheimer\u2019s disease. Neurosci Inf. https:\/\/doi.org\/10.1016\/j.neuri.2022.100040","journal-title":"Neurosci Inf"},{"issue":"13","key":"2579_CR17","doi-asserted-by":"publisher","first-page":"2281","DOI":"10.1242\/dev.128033","volume":"143","author":"BM Grebbin","year":"2016","unstructured":"Grebbin BM, Hau A-C, Gro\u00df A, Anders-Maurer M, Schramm J, Koss M, Wille C, Mittelbronn M, Selleri L, Schulte D (2016) Pbx1 is required for adult SVZ neurogenesis. Development 143(13):2281\u201391. https:\/\/doi.org\/10.1242\/dev.128033","journal-title":"Development"},{"key":"2579_CR18","doi-asserted-by":"crossref","unstructured":"Hagberg AA, Schult DA, Swart PJ (2008) Exploring network structure, dynamics, and function using networkx. In: Proceedings of the 7th python in science conference (SciPy 2008), pp 11\u201315","DOI":"10.25080\/TCWV9851"},{"issue":"1","key":"2579_CR19","doi-asserted-by":"publisher","first-page":"21013","DOI":"10.1038\/s41598-021-99968-5","volume":"11","author":"A-C Hau","year":"2021","unstructured":"Hau A-C, Mommaerts E, Laub V, M\u00fcller T, Dittmar G, Schulte D (2021) Transcriptional cooperation of PBX1 and PAX6 in adult neural progenitor cells. Sci Rep 11(1):21013. https:\/\/doi.org\/10.1038\/s41598-021-99968-5","journal-title":"Sci Rep"},{"key":"2579_CR20","doi-asserted-by":"publisher","first-page":"232","DOI":"10.3389\/fneur.2015.00232","volume":"6","author":"JM Hill","year":"2015","unstructured":"Hill JM, Pogue AI, Lukiw WJ (2015) Pathogenic micrornas common to brain and retinal degeneration; recent observations in Alzheimer\u2019s disease and age-related macular degeneration. Front Neurol 6:232","journal-title":"Front Neurol"},{"key":"2579_CR21","doi-asserted-by":"publisher","unstructured":"Huang H-Y, Huang H-Y, Lin Y-C-D, Li J, Huang K-Y, Shrestha S, Hong H-C, Tang Y, Chen Y-G, Jin C-N, Yu Y, Xu J-T, Li Y-M, Cai X-X, Zhou Z-Y, Chen X-H, Pei Y-Y, Hu L, Su J-J, Cui S-D, Wang F, Xie Y-Y, Ding S-Y, Luo M-F, Chou C-H, Chang N-W, Chen K-W, Cheng Y-H, Wan X-H, Hsu W-L, Lee T-Y, Wei F-X, Huang H-D, Huang H-D (2019) miRTarBase 2020: updates to the experimentally validated microRNA\u2014target interaction database. Nucleic Acids Res. https:\/\/doi.org\/10.1093\/nar\/gkz896","DOI":"10.1093\/nar\/gkz896"},{"key":"2579_CR22","first-page":"239","volume":"44","author":"HY Huang","year":"2015","unstructured":"Huang HY et al (2015) mirtarbase 2016: updates to the experimentally validated mirna-target interactions database. Nucleic Acids Res 44:239\u2013247","journal-title":"Nucleic Acids Res"},{"issue":"1","key":"2579_CR23","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1093\/jmcb\/mjt051","volume":"6","author":"NC Inestrosa","year":"2014","unstructured":"Inestrosa NC, Varela-Nallar L (2014) Wnt signaling in the nervous system and in Alzheimer\u2019s disease. J Mol Cell Biol 6(1):64\u201374. https:\/\/doi.org\/10.1093\/jmcb\/mjt051","journal-title":"J Mol Cell Biol"},{"issue":"1","key":"2579_CR24","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1186\/s13041-019-0525-5","volume":"12","author":"L Jia","year":"2019","unstructured":"Jia L, Pi\u00f1a-Crespo J, Li Y (2019) Restoring Wnt\/$$\\beta$$-catenin signaling is a promising therapeutic strategy for Alzheimer\u2019s disease. Mol Brain 12(1):104. https:\/\/doi.org\/10.1186\/s13041-019-0525-5","journal-title":"Mol Brain"},{"issue":"10","key":"2579_CR25","doi-asserted-by":"publisher","first-page":"1613","DOI":"10.1002\/emmm.201201974","volume":"5","author":"P Lau","year":"2013","unstructured":"Lau P, Bossers K, Janky R, Salta E, Frigerio CS, Barbash S, Rothman R, Sierksma ASR, Thathiah A, Greenberg D, Papadopoulou AS, Achsel T, Ayoubi T, Soreq H, Verhaagen J, Swaab DF, Aerts S, De Strooper B (2013) Alteration of the micro RNA network during the progression of Alzheimer\u2019s disease. EMBO Mol Med 5(10):1613\u20131634. https:\/\/doi.org\/10.1002\/emmm.201201974","journal-title":"EMBO Mol Med"},{"issue":"4","key":"2579_CR26","doi-asserted-by":"publisher","first-page":"576","DOI":"10.1111\/jnc.15509","volume":"159","author":"F Leng","year":"2021","unstructured":"Leng F, Edison P (2021) Molecular mechanisms of neurodegeneration in Alzheimer\u2019s disease. J Neurochem 159(4):576\u2013595. https:\/\/doi.org\/10.1111\/jnc.15509","journal-title":"J Neurochem"},{"key":"2579_CR27","first-page":"29","volume":"675","author":"H Li","year":"2018","unstructured":"Li H et al (2018) Identification of key mirna\u2013mrna regulatory networks in Alzheimer\u2019s disease. Neurosci Lett 675:29\u201336","journal-title":"Neurosci Lett"},{"key":"2579_CR28","doi-asserted-by":"publisher","first-page":"682363","DOI":"10.3389\/fnmol.2021.682363","volume":"14","author":"X Li","year":"2021","unstructured":"Li X, Long J, He T (2021) Microrna regulation of synaptic function and dysfunction in Alzheimer\u2019s disease. Front Mol Neurosci 14:682363. https:\/\/doi.org\/10.3389\/fnmol.2021.682363","journal-title":"Front Mol Neurosci"},{"issue":"1","key":"2579_CR29","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1038\/s41398-024-03075-8","volume":"14","author":"Y-B Li","year":"2024","unstructured":"Li Y-B, Fu Q, Guo M, Du Y, Chen Y, Cheng Y (2024) MicroRNAs: pioneering regulators in Alzheimer\u2019s disease pathogenesis, diagnosis, and therapy. Transl Psychiatry 14(1):367. https:\/\/doi.org\/10.1038\/s41398-024-03075-8","journal-title":"Transl Psychiatry"},{"key":"2579_CR30","first-page":"342","volume":"22","author":"J Liu","year":"2021","unstructured":"Liu J et al (2021) Systems biology approaches for Alzheimer\u2019s disease biomarker discovery. Brief Bioinform 22:342","journal-title":"Brief Bioinform"},{"issue":"2","key":"2579_CR31","first-page":"198","volume":"51","author":"X Liu","year":"2021","unstructured":"Liu X, Zhao Y, Zhou Y, Zhao Y, Zhang M, Meng G, Ma X (2021) Exploring potential biomarkers underlying the pathogenesis of Alzheimer\u2019s disease by bioinformatics gene analysis. Ann Clin Lab Sci 51(2):198\u2013205","journal-title":"Ann Clin Lab Sci"},{"issue":"1","key":"2579_CR32","doi-asserted-by":"publisher","first-page":"70311","DOI":"10.1111\/acel.70311","volume":"25","author":"Z Liu","year":"2025","unstructured":"Liu Z, Meng X, Lu R, Meng X, Li S, Wang Y, Liu X, Liu X, Liu J (2025) PBX1 improves cognition and reduces amyloid-$$\\beta$$ pathology in APP \/ PS1 mice by transcriptionally activating the CRTC2 \u2013 CREB pathway. Aging Cell 25(1):70311. https:\/\/doi.org\/10.1111\/acel.70311","journal-title":"Aging Cell"},{"key":"2579_CR33","doi-asserted-by":"publisher","unstructured":"Lodh E, Majumder S, Chowdhury T, De M (2026) NetPolicy-RL: network-informed offline reinforcement learning for pharmacogenomic drug prioritization. J Comput Aided Mol Des 40(1). https:\/\/doi.org\/10.1007\/s10822-026-00823-4","DOI":"10.1007\/s10822-026-00823-4"},{"key":"2579_CR34","doi-asserted-by":"publisher","first-page":"109282","DOI":"10.1016\/j.jmgm.2026.109282","volume":"144","author":"E Lodh","year":"2026","unstructured":"Lodh E, Majumder S, Chowdhury T, De M (2026) RLBindDeep: a ResNet-LSTM based novel framework for protein\u2013ligand binding affinity prediction. J Mol Graph Model 144:109282. https:\/\/doi.org\/10.1016\/j.jmgm.2026.109282","journal-title":"J Mol Graph Model"},{"issue":"6","key":"2579_CR35","doi-asserted-by":"publisher","first-page":"400","DOI":"10.1016\/j.tig.2020.03.006","volume":"36","author":"M Lu","year":"2020","unstructured":"Lu M, Zhang Q (2020) Micrornas as key regulators of gene regulatory networks in disease. Trends Genet 36(6):400\u2013413. https:\/\/doi.org\/10.1016\/j.tig.2020.03.006","journal-title":"Trends Genet"},{"key":"2579_CR36","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2023.104470","author":"N Mahendran","year":"2023","unstructured":"Mahendran N, Vincent DRPM (2023) Deep belief network-based approach for detecting Alzheimer\u2019s disease using multi-omics data. Biomed Signal Process Control. https:\/\/doi.org\/10.1016\/j.bspc.2023.104470","journal-title":"Biomed Signal Process Control"},{"key":"2579_CR37","doi-asserted-by":"publisher","unstructured":"Majumder S, Lodh E, De T, Chowdhury T (2026) In silico characterization of melanoma-derived mouse lncRNA Gm26982 and comparative analyses with human ortholog. Mol Genet Genomics 301(103). https:\/\/doi.org\/10.1007\/s00438-026-02423-1","DOI":"10.1007\/s00438-026-02423-1"},{"key":"2579_CR38","doi-asserted-by":"publisher","unstructured":"Majumder S, Lodh E, Chowdhury T (2024) Implications of trinodal inhibitions and drug repurposing in MAPK pathway: a putative remedy for breast cancer. Comput Biol Chem 113:108255. https:\/\/doi.org\/10.1016\/j.compbiolchem.2024.108255","DOI":"10.1016\/j.compbiolchem.2024.108255"},{"issue":"6","key":"2579_CR39","doi-asserted-by":"publisher","first-page":"777","DOI":"10.1038\/s41587-020-0502-y","volume":"38","author":"WS Noble","year":"2020","unstructured":"Noble WS (2020) How does multiple testing correction work? Nat Biotechnol 38(6):777\u2013779. https:\/\/doi.org\/10.1038\/s41587-020-0502-y","journal-title":"Nat Biotechnol"},{"key":"2579_CR40","doi-asserted-by":"publisher","unstructured":"Oliva CA, Vargas JY, Inestrosa NC (2013) Wnts in adult brain: from synaptic plasticity to cognitive deficiencies. Front Cell Neurosci 7:224. https:\/\/doi.org\/10.3389\/fncel.2013.00224","DOI":"10.3389\/fncel.2013.00224"},{"key":"2579_CR41","doi-asserted-by":"publisher","unstructured":"Ortega-Mart\u00ednez S (2015) A new perspective on the role of the CREB family of transcription factors in memory consolidation via adult hippocampal neurogenesis. Front Mol Neurosci 8(46). https:\/\/doi.org\/10.3389\/fnmol.2015.00046","DOI":"10.3389\/fnmol.2015.00046"},{"key":"2579_CR42","doi-asserted-by":"publisher","first-page":"2825","DOI":"10.5555\/1953048.2078195","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa F, Varoquaux G, Gramfort A et al (2011) Scikit-learn: machine learning in python. J Mach Learn Res 12:2825\u20132830. https:\/\/doi.org\/10.5555\/1953048.2078195","journal-title":"J Mach Learn Res"},{"key":"2579_CR43","doi-asserted-by":"publisher","DOI":"10.1007\/s12672-025-04224-1","author":"Y Peng","year":"2025","unstructured":"Peng Y, Zhang D, Wang S, Huang H (2025) Mitochondrial energy metabolism genes as prognostic biomarkers in clear cell renal cell carcinoma via single-cell and bulk RNA sequencing analyses. Disc Oncology. https:\/\/doi.org\/10.1007\/s12672-025-04224-1","journal-title":"Disc Oncology"},{"issue":"18","key":"2579_CR44","doi-asserted-by":"publisher","first-page":"9936","DOI":"10.3390\/ijms25189936","volume":"25","author":"N Puranik","year":"2024","unstructured":"Puranik N, Song M (2024) Insights into the role of micrornas as clinical tools for diagnosis, prognosis, and as therapeutic targets in Alzheimer\u2019s disease. Int J Mol Sci 25(18):9936. https:\/\/doi.org\/10.3390\/ijms25189936","journal-title":"Int J Mol Sci"},{"issue":"W1","key":"2579_CR45","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1093\/nar\/gkz369","volume":"47","author":"U Raudvere","year":"2019","unstructured":"Raudvere U, Kolberg L, Kuzmin I et al (2019) G:profiler: a web server for functional enrichment analysis and conversions of gene lists (2019 update). Nucleic Acids Res 47(W1):191\u2013198. https:\/\/doi.org\/10.1093\/nar\/gkz369","journal-title":"Nucleic Acids Res"},{"issue":"1","key":"2579_CR46","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/mps4010001","volume":"4","author":"G Riolo","year":"2020","unstructured":"Riolo G, Cantara S, Marzocchi C, Ricci C (2020) MiRNA targets: from prediction tools to experimental validation. Methods Protocols 4(1):1. https:\/\/doi.org\/10.3390\/mps4010001","journal-title":"Methods Protocols"},{"key":"2579_CR47","doi-asserted-by":"publisher","unstructured":"Ross SP, Baker KE, Fisher A, Hoff L, Pak ES, Murashov AK (2018) MIRNA-431 prevents Amyloid-$$\\beta$$-Induced synapse loss in neuronal cell culture model of Alzheimer\u2019s disease by silencing Kremen1. Front Cell Neurosci 12:87. https:\/\/doi.org\/10.3389\/fncel.2018.00087","DOI":"10.3389\/fncel.2018.00087"},{"issue":"5","key":"2579_CR48","doi-asserted-by":"publisher","first-page":"5451","DOI":"10.1002\/jcp.27486","volume":"234","author":"K Saliminejad","year":"2019","unstructured":"Saliminejad K, Khorram Khorshid HR, Soleymani Fard S, Ghaffari SH (2019) An overview of micrornas: biology, functions, therapeutics, and analysis methods. J Cell Physiol 234(5):5451\u20135465. https:\/\/doi.org\/10.1002\/jcp.27486","journal-title":"J Cell Physiol"},{"key":"2579_CR49","doi-asserted-by":"crossref","first-page":"108","DOI":"10.3389\/fnmol.2020.00108","volume":"13","author":"D Siedlecki-Wullich","year":"2020","unstructured":"Siedlecki-Wullich D et al (2020) Micrornas in neurodegeneration. Front Mol Neurosci 13:108","journal-title":"Front Mol Neurosci"},{"key":"2579_CR50","doi-asserted-by":"publisher","unstructured":"Smith J et al (2020) Network analysis in neurodegenerative diseases. Trends Neurosci 43:15\u201330. https:\/\/doi.org\/10.1016\/j.tins.2019.10.006","DOI":"10.1016\/j.tins.2019.10.006"},{"issue":"1","key":"2579_CR51","doi-asserted-by":"publisher","first-page":"206","DOI":"10.5114\/aoms\/80619","volume":"18","author":"C Sun","year":"2021","unstructured":"Sun C, Qi X, Liu J, Duan F, Cong L (2021) The role of microRNAs regulatory network in Alzheimer\u2019s disease: a bioinformatics analysis. Arch Med Sci 18(1):206\u2013222. https:\/\/doi.org\/10.5114\/aoms\/80619","journal-title":"Arch Med Sci"},{"key":"2579_CR52","doi-asserted-by":"publisher","first-page":"414","DOI":"10.1007\/s12035-014-8654-1","volume":"50","author":"L Tan","year":"2014","unstructured":"Tan L (2014) MicroRNA and Alzheimer\u2019s disease: a systematic review. Mol Neurobiol 50:414\u2013432. https:\/\/doi.org\/10.1007\/s12035-014-8654-1","journal-title":"Mol Neurobiol"},{"issue":"18","key":"2579_CR53","doi-asserted-by":"publisher","first-page":"1963","DOI":"10.15252\/embj.201593725","volume":"35","author":"JC Villaescusa","year":"2016","unstructured":"Villaescusa JC, Li B, Toledo EM, Di Val Cervo PR, Yang S, Stott SR, Kaiser K, Islam S, Gyllborg D, Laguna-Goya R, Landreh M, L\u00f6nnerberg P, Falk A, Bergman T, Barker RA, Linnarsson S, Selleri L, Arenas E (2016) A PBX1 transcriptional network controls dopaminergic neuron development and is impaired in Parkinson\u2019s disease. EMBO J 35(18):1963\u20131978. https:\/\/doi.org\/10.15252\/embj.201593725","journal-title":"EMBO J"},{"issue":"1","key":"2579_CR54","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41392-020-00209-6","volume":"5","author":"X Wang","year":"2020","unstructured":"Wang X, Wang W, Li L (2020) Signaling pathways in Alzheimer\u2019s disease: molecular mechanisms and therapeutic targets. Signal Transduct Target Ther 5(1):1\u201324. https:\/\/doi.org\/10.1038\/s41392-020-00209-6","journal-title":"Signal Transduct Target Ther"},{"issue":"1","key":"2579_CR55","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13195-021-00807-3","volume":"13","author":"M Wang","year":"2021","unstructured":"Wang M, Shen L, Thompson PM (2021) Transcriptomic analysis of Alzheimer\u2019s disease reveals neuroinflammation-associated molecular signatures. Alzheimer\u2019s Res Therapy 13(1):1\u201315. https:\/\/doi.org\/10.1186\/s13195-021-00807-3","journal-title":"Alzheimer\u2019s Res Therapy"},{"key":"2579_CR56","doi-asserted-by":"publisher","first-page":"160","DOI":"10.3389\/fnmol.2020.00160","volume":"13","author":"W Wei","year":"2020","unstructured":"Wei W, Wang Z-Y, Ma L-N, Zhang T-T, Cao Y, Li H (2020) MicroRNAs in Alzheimer\u2019s disease: function and potential applications as diagnostic biomarkers. Front Mol Neurosci 13:160. https:\/\/doi.org\/10.3389\/fnmol.2020.00160","journal-title":"Front Mol Neurosci"},{"key":"2579_CR57","unstructured":"World Health Organization: Dementia (2021) WHO Fact Sheet. Accessed: 2025. https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/dementia"},{"key":"2579_CR58","first-page":"4035","volume":"55","author":"Y Zhang","year":"2018","unstructured":"Zhang Y et al (2018) Integrated analysis of mirna and mrna expression profiles in Alzheimer\u2019s disease. Mol Neurobiol 55:4035\u20134046","journal-title":"Mol Neurobiol"}],"container-title":["Journal of Molecular Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12031-026-02579-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12031-026-02579-w","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12031-026-02579-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T15:34:37Z","timestamp":1790177677000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12031-026-02579-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,5]]},"references-count":58,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2026,9]]}},"alternative-id":["2579"],"URL":"https:\/\/doi.org\/10.1007\/s12031-026-02579-w","relation":{},"ISSN":["1559-1166"],"issn-type":[{"value":"1559-1166","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8,5]]},"assertion":[{"value":"24 February 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 July 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 August 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests.","order":1,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"All of the authors agreed to have this research published.","order":2,"name":"Ethics","label":"Consent for Publication","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":3,"name":"Ethics","label":"Ethical Approval","group":{"name":"EthicsHeading","label":"Declarations"}}],"article-number":"123"}}