Cited by 56Alzheimer's disease research and treatmentsDementia and Cognitive Impairment ResearchNeuroinflammation and Neurodegeneration Mechanisms

Alzheimer’s disease large-scale gene expression portrait identifies exercise as the top theoretical treatment

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Hill, Mason A., Gammie, Stephen C.·2022·Scientific Reports

Abstract

Alzheimer’s disease (AD) is a complex neurodegenerative disorder that affects multiple brain regions and is difficult to treat. In this study we used 22 AD large-scale gene expression datasets to identify a consistent underlying portrait of AD gene expression across multiple brain regions. Then we used the portrait as a platform for identifying treatments that could reverse AD dysregulated expression patterns. Enrichment of dysregulated AD genes included multiple processes, ranging from cell adhesion to CNS development. The three most dysregulated genes in the AD portrait were the inositol trisphosphate kinase, ITPKB (upregulated), the astrocyte specific intermediate filament protein, GFAP (upregulated), and the rho GTPase, RHOQ (upregulated). 41 of the top AD dysregulated genes were also identified in a recent human AD GWAS study, including PNOC, C4B, and BCL11A. 42 transcription factors were identified that were both dysregulated in AD and that in turn affect expression of other AD dysregulated genes. Male and female AD portraits were highly congruent. Out of over 250 treatments, three datasets for exercise or activity were identified as the top three theoretical treatments for AD via reversal of large-scale gene expression patterns. Exercise reversed expression patterns of hundreds of AD genes across multiple categories, including cytoskeleton, blood vessel development, mitochondrion, and interferon-stimulated related genes. Exercise also ranked as the best treatment across a majority of individual region-specific AD datasets and meta-analysis AD datasets. Fluoxetine also scored well and a theoretical combination of fluoxetine and exercise reversed 549 AD genes. Other positive treatments included curcumin. Comparisons of the AD portrait to a recent depression portrait revealed a high congruence of downregulated genes in both. Together, the AD portrait provides a new platform for understanding AD and identifying potential treatments for AD.

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  • Downregulation of WASF1 expression in the AD brain has also been observed in publicly available datasets.

    “Downregulation of WASF1 expression in the AD brain has also been observed in publicly available datasets144,145.”

    From The WAVE complex in developmental and adulthood brain disorders (2025) · cites this paper as [145]

    The Methods section describes publicly available AD brain-expression datasets, but the passages in our copy do not report whether WASF1 is downregulated. Searches for WASF1, WAVE1, and its full gene name found no passage addressing that specific result. (LLM, conf=0.74)

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  1. [1]Lane CA Hardy J Schott JM Alzheimer's disease Eur. J. Neurol. 2018 25 59 70 10.1111/ene.13439 28872215 · DOI · Paper page
  2. [2]Wang M Integrative network analysis of nineteen brain regions identifies molecular signatures and networks underlying selective regional vulnerability to Alzheimer's disease Genome Med. 2016 8 104 10.1186/s13073-016-0355-3 27799057 PMC5088659 · DOI · Paper page
  3. [3]Kumar A Singh A Ekavali A review on Alzheimer's disease pathophysiology and its management: An update Pharmacol. Rep. 2015 67 195 203 10.1016/j.pharep.2014.09.004 25712639 · DOI · Paper page
  4. [4]Berchtold NC Synaptic genes are extensively downregulated across multiple brain regions in normal human aging and Alzheimer's disease Neurobiol. Aging 2013 34 1653 1661 10.1016/j.neurobiolaging.2012.11.024 23273601 PMC4022280 · DOI · Paper page
  5. [5]Liang WS Altered neuronal gene expression in brain regions differentially affected by Alzheimer's disease: A reference data set Physiol. Genomics 2008 33 240 256 10.1152/physiolgenomics.00242.2007 18270320 PMC2826117 · DOI · Paper page
  6. [6]Zhang B Integrated systems approach identifies genetic nodes and networks in late-onset Alzheimer's disease Cell 2013 153 707 720 10.1016/j.cell.2013.03.030 23622250 PMC3677161 · DOI · Paper page
  7. [8]Duan Q L1000CDS(2): LINCS L1000 characteristic direction signatures search engine NPJ Syst. Biol. Appl. 2016 2 16015 10.1038/npjsba.2016.15 28413689 PMC5389891 · DOI
  8. [9]Iorio F Rittman T Ge H Menden M Saez-Rodriguez J Transcriptional data: A new gateway to drug repositioning? Drug Discov. Today 2013 18 350 357 10.1016/j.drudis.2012.07.014 22897878 PMC3625109 · DOI
  9. [10]Pushpakom S Drug repurposing: Progress, challenges and recommendations Nat. Rev. Drug Discov. 2019 18 41 58 10.1038/nrd.2018.168 30310233 · DOI · Paper page
  10. [11]Dudley JT Computational repositioning of the anticonvulsant topiramate for inflammatory bowel disease Sci. Transl. Med. 2011 3 96 10.1126/scitranslmed.3002648 PMC3479650 21849664 · DOI
  11. [13]Sirota M Discovery and preclinical validation of drug indications using compendia of public gene expression data Sci. Transl. Med. 2011 3 96 10.1126/scitranslmed.3001318 PMC3502016 21849665 · DOI
  12. [14]Gammie SC Creation of a gene expression portrait of depression and its application for identifying potential treatments Sci. Rep. 2021 11 1 19 10.1038/s41598-021-83348-0 33589676 PMC7884719 · DOI
  13. [15]Szklarczyk D STRING v10: Protein–protein interaction networks, integrated over the tree of life Nucleic Acids Res. 2014 43 D447 D452 10.1093/nar/gku1003 25352553 PMC4383874 · DOI · Paper page
  14. [16]Berchtold NC Hippocampal gene expression patterns linked to late-life physical activity oppose age and AD-related transcriptional decline Neurobiol. Aging 2019 78 142 154 10.1016/j.neurobiolaging.2019.02.012 30927700 PMC6901108 · DOI
  15. [17]Valenzuela PL Exercise benefits on Alzheimer’s disease: State-of-the-science Ageing Res. Rev. 2020 62 101108 10.1016/j.arr.2020.101108 32561386 · DOI · Paper page
  16. [18]Dougherty RJ Relationships between cardiorespiratory fitness, hippocampal volume, and episodic memory in a population at risk for Alzheimer's disease Brain Behav. 2017 7 e00625 10.1002/brb3.625 28293467 PMC5346514 · DOI
  17. [19]Brach TL Gaitán JM Okonkwo OC Effect of aerobic exercise training on mood and cognition in adults at risk for Alzheimer's disease Alzheimers Dement 2021 17 e058523 10.1002/alz.058523 · DOI
  18. [21]McInnes L Healy J Saul N Großberger L UMAP: Uniform manifold approximation and projection J. Open Source Softw. 2018 3 861 10.21105/joss.00861 · DOI · Paper page
  19. [23]Yuen SC Zhu H Leung SW A systematic bioinformatics workflow with meta-analytics identified potential pathogenic factors of Alzheimer's disease Front. Neurosci. 2020 14 209 10.3389/fnins.2020.00209 32231518 PMC7083177 · DOI
  20. [25]Wightman DP A genome-wide association study with 1,126,563 individuals identifies new risk loci for Alzheimer’s disease Nat. Genet. 2021 53 1276 1282 10.1038/s41588-021-00921-z 34493870 PMC10243600 · DOI · Paper page
  21. [27]De Jager PL A multi-omic atlas of the human frontal cortex for aging and Alzheimer’s disease research Sci. Data 2018 5 180142 10.1038/sdata.2018.142 30084846 PMC6080491 · DOI · Paper page
  22. [28]Bennett DA Schneider JA Arvanitakis Z Wilson RS Overview and findings from the religious orders study Curr. Alzheimer Res. 2012 9 628 645 10.2174/156720512801322573 22471860 PMC3409291 · DOI
  23. [29]Allen M Human whole genome genotype and transcriptome data for Alzheimer’s and other neurodegenerative diseases Sci. Data 2016 3 1 10 10.1038/sdata.2016.89 PMC5058336 27727239 · DOI · Paper page
  24. [30]Wang M The Mount Sinai cohort of large-scale genomic, transcriptomic and proteomic data in Alzheimer's disease Sci. Data 2018 5 1 16 10.1038/sdata.2018.185 30204156 PMC6132187 · DOI · Paper page
  25. [31]Bonham LW Sirkis DW Yokoyama JS The transcriptional landscape of microglial genes in aging and neurodegenerative disease Front. Immunol. 2019 10 1170 10.3389/fimmu.2019.01170 31214167 PMC6557985 · DOI · Paper page
  26. [32]Erneux C Ghosh S Koenig S Inositol(1,4,5)P3 3-kinase isoenzymes: Catalytic properties and importance of targeting to F-actin to understand function Adv. Biol. Regul. 2016 60 135 143 10.1016/j.jbior.2015.09.004 26446452 · DOI
  27. [33]Salta E Sierksma A VandenEynden E De Strooper B miR-132 loss de-represses ITPKB and aggravates amyloid and TAU pathology in Alzheimer's brain EMBO Mol. Med. 2016 8 1005 1018 10.15252/emmm.201606520 27485122 PMC5009807 · DOI · Paper page
  28. [34]Stygelbout V Inositol trisphosphate 3-kinase B is increased in human Alzheimer brain and exacerbates mouse Alzheimer pathology Brain 2014 137 537 552 10.1093/brain/awt344 24401760 · DOI · Paper page
  29. [35]Zhang Y Xu C Nan Y Nan S Microglia-derived extracellular vesicles carrying miR-711 alleviate neurodegeneration in a murine Alzheimer’s disease model by binding to Itpkb Front. Cell Dev. Biol. 2020 8 1043 PMC7677138 33240878
  30. [36]Apicco DJ The Parkinson's disease-associated gene ITPKB protects against α-synuclein aggregation by regulating ER-to-mitochondria calcium release Proc. Natl. Acad. Sci. U.S.A. 2021 118 2006476118 10.1073/pnas.2006476118 PMC7817155 33443159 · DOI · Paper page
  31. [37]Hol EM Pekny M Glial fibrillary acidic protein (GFAP) and the astrocyte intermediate filament system in diseases of the central nervous system Curr. Opin. Cell Biol. 2015 32 121 130 10.1016/j.ceb.2015.02.004 25726916 · DOI · Paper page
  32. [38]Eng LF Ghirnikar RS GFAP and astrogliosis Brain Pathol. 1994 4 229 237 10.1111/j.1750-3639.1994.tb00838.x 7952264 · DOI · Paper page
  33. [39]Pekny M Nilsson M Astrocyte activation and reactive gliosis Glia 2005 50 427 434 10.1002/glia.20207 15846805 · DOI · Paper page
  34. [41]Rottner K Stradal TE Actin dynamics and turnover in cell motility Curr. Opin. Cell Biol. 2011 23 569 578 10.1016/j.ceb.2011.07.003 21807492 · DOI
  35. [42]Santpere G Transcriptional network analysis in frontal cortex in Lewy body diseases with focus on dementia with Lewy bodies Brain Pathol. 2018 28 315 333 10.1111/bpa.12511 28321951 PMC8028609 · DOI
  36. [43]Simon MJ Transcriptional network analysis of human astrocytic endfoot genes reveals region-specific associations with dementia status and tau pathology Sci. Rep. 2018 8 1 16 10.1038/s41598-018-30779-x 30120299 PMC6098119 · DOI · Paper page
  37. [44]Piras IS Association of AEBP1 and NRN1 RNA expression with Alzheimer’s disease and neurofibrillary tangle density in middle temporal gyrus Brain Res. 2019 1719 217 224 10.1016/j.brainres.2019.06.004 31176712 · DOI
  38. [45]Israeli R Asli A Avital-Shacham M Kosloff M RGS6 and RGS7 discriminate between the highly similar Gαi and Gαo proteins using a two-tiered specificity strategy J. Mol. Biol. 2019 431 3302 3311 10.1016/j.jmb.2019.05.037 31153905 · DOI
  39. [46]Cai Z Ratka A Opioid system and Alzheimer’s disease NeuroMol. Med. 2012 14 91 111 10.1007/s12017-012-8180-3 22527793 · DOI
  40. [47]Zorzetto M Complement C4A and C4B gene copy number study in Alzheimer's disease patients Curr. Alzheimer Res. 2017 14 303 308 10.2174/1567205013666161013091934 27758680 · DOI
  41. [48]Du H Transcription factors Bcl11a and Bcl11b are required for the production and differentiation of cortical projection neurons Cereb. Cortex. 2021 10.1093/cercor/bhab437 34963132 PMC9433425 · DOI
  42. [49]Souza EBD Whitehouse PJ Price DL Vale WW Abnormalities in corticotropin-releasing hormone (CRH) in Alzheimer's disease and other human disorders Ann. N. Y. Acad. Sci. 1987 512 237 247 10.1111/j.1749-6632.1987.tb24964.x 3502064 · DOI
  43. [50]Govindpani K Turner C Waldvogel HJ Faull RL Kwakowsky A Impaired expression of GABA signaling components in the Alzheimer’s disease middle temporal gyrus Int. J. Mol. Sci. 2020 21 8704 10.3390/ijms21228704 PMC7698927 33218044 · DOI
  44. [51]White CM Ji S Cai H Maudsley S Martin B Therapeutic potential of vasoactive intestinal peptide and its receptors in neurological disorders CNS Neurol. Disord. Drug Targets 2010 9 661 666 10.2174/187152710793361595 20632962 PMC2967653 · DOI
  45. [52]Shetty AK Bates A Potential of GABA-ergic cell therapy for schizophrenia, neuropathic pain, and Alzheimer’s and Parkinson’s diseases Brain Res. 2016 1638 74 87 10.1016/j.brainres.2015.09.019 26423935 PMC5313260 · DOI
  46. [53]Kanehisa M Goto S KEGG: Kyoto encyclopedia of genes and genomes Nucleic Acids Res. 2000 28 27 30 10.1093/nar/28.1.27 10592173 PMC102409 · DOI · Paper page
  47. [54]Calabrò M Rinaldi C Santoro G Crisafulli C The biological pathways of Alzheimer disease: A review AIMS Neurosci. 2021 8 86 10.3934/Neuroscience.2021005 33490374 PMC7815481 · DOI
  48. [55]Lipscomb CE Medical subject headings (MeSH) Bull. Med. Libr. Assoc. 2000 88 265 10928714 PMC35238
  49. [56]Piñero J DisGeNET: A comprehensive platform integrating information on human disease-associated genes and variants Nucleic Acids Res. 2016 45 833 10.1093/nar/gkw943 PMC5210640 27924018 · DOI · Paper page
  50. [57]Zoubarev A Gemma: A resource for the reuse, sharing and meta-analysis of expression profiling data Bioinformatics 2012 28 2272 2273 10.1093/bioinformatics/bts430 22782548 PMC3426847 · DOI
  51. [59]Yuan J Curcumin can improve spinal cord injury by inhibiting TGF-β-SOX9 signaling pathway Cell. Mol. Neurobiol. 2019 39 569 575 10.1007/s10571-019-00671-x 30915623 PMC11462994 · DOI
  52. [60]Yan H Zhu X Xie J Zhao Y Liu X β-amyloid increases neurocan expression through regulating Sox9 in astrocytes: A potential relationship between Sox9 and chondroitin sulfate proteoglycans in Alzheimer's disease Brain Res. 2016 1646 377 383 10.1016/j.brainres.2016.06.010 27317830 · DOI
  53. [61]Langfelder P Horvath S WGCNA: An R package for weighted correlation network analysis BMC Bioinform. 2008 9 1 13 10.1186/1471-2105-9-559 PMC2631488 19114008 · DOI · Paper page
  54. [62]Jia R-X Liang J-H Xu Y Wang Y-Q Effects of physical activity and exercise on the cognitive function of patients with Alzheimer disease: A meta-analysis BMC Geriatr. 2019 19 1 14 10.1186/s12877-019-1175-2 31266451 PMC6604129 · DOI
  55. [63]Ströhle A Drug and exercise treatment of Alzheimer disease and mild cognitive impairment: A systematic review and meta-analysis of effects on cognition in randomized controlled trials Am. J. Geriatr. Psychiatry 2015 23 1234 1249 10.1016/j.jagp.2015.07.007 26601726 · DOI
  56. [64]Ahlskog JE Geda YE Graff-Radford NR Petersen RC Physical exercise as a preventive or disease-modifying treatment of dementia and brain aging Mayo Clin. Proc. 2011 86 876 884 10.4065/mcp.2011.0252 21878600 PMC3258000 · DOI · Paper page
  57. [65]Austin BP Effects of hypoperfusion in Alzheimer's disease J. Alzheimers Dis. 2011 26 123 133 10.3233/JAD-2011-0010 21971457 PMC3303148 · DOI
  58. [66]Meng Q Lin M-S Tzeng I Relationship between exercise and Alzheimer’s disease: A narrative literature review Front. Neurosci. 2020 14 131 10.3389/fnins.2020.00131 32273835 PMC7113559 · DOI · Paper page
  59. [67]Hubel P A protein-interaction network of interferon-stimulated genes extends the innate immune system landscape Nat. Immunol. 2019 20 493 502 10.1038/s41590-019-0323-3 30833792 · DOI
  60. [68]Mulero P Improvement of fatigue in multiple sclerosis by physical exercise is associated to modulation of systemic interferon response J. Neuroimmunol. 2015 280 8 11 10.1016/j.jneuroim.2015.01.011 25773148 · DOI
  61. [69]Le Page A Role of the peripheral innate immune system in the development of Alzheimer's disease Exp. Gerontol. 2018 107 59 66 10.1016/j.exger.2017.12.019 29275160 · DOI
  62. [70]Aguilar BJ Zhu Y Lu Q Rho GTPases as therapeutic targets in Alzheimer’s disease Alzheimer's Res. Ther. 2017 9 1 10 10.1186/s13195-017-0320-4 29246246 PMC5732365 · DOI
  63. [71]Rong Z Activation of FAK/Rac1/Cdc42-GTPase signaling ameliorates impaired microglial migration response to Aβ42 in triggering receptor expressed on myeloid cells 2 loss-of-function murine models FASEB J. 2020 34 10984 10997 10.1096/fj.202000550RR 32613609 · DOI
  64. [72]Oliff HS Berchtold NC Isackson P Cotman CW Exercise-induced regulation of brain-derived neurotrophic factor (BDNF) transcripts in the rat hippocampus Mol. Brain Res. 1998 61 147 153 10.1016/S0169-328X(98)00222-8 9795193 · DOI · Paper page
  65. [73]Sleiman SF Exercise promotes the expression of brain derived neurotrophic factor (BDNF) through the action of the ketone body β-hydroxybutyrate Elife 2016 5 e15092 10.7554/eLife.15092 27253067 PMC4915811 · DOI · Paper page
  66. [74]Zhang F Kang Z Li W Xiao Z Zhou X Roles of brain-derived neurotrophic factor/tropomyosin-related kinase B (BDNF/TrkB) signalling in Alzheimer’s disease J. Clin. Neurosci. 2012 19 946 949 10.1016/j.jocn.2011.12.022 22613489 · DOI
  67. [75]Amidfar M de Oliveira J Kucharska E Budni J Kim Y-K The role of CREB and BDNF in neurobiology and treatment of Alzheimer's disease Life Sci. 2020 257 118020 10.1016/j.lfs.2020.118020 32603820 · DOI
  68. [76]Moradifard S Hoseinbeyki M Ganji SM Minuchehr Z Analysis of microRNA and gene expression profiles in Alzheimer’s disease: A meta-analysis approach Sci. Rep. 2018 8 1 17 10.1038/s41598-018-20959-0 29555910 PMC5859169 · DOI
  69. [77]Patel H Dobson RJ Newhouse SJ A meta-analysis of Alzheimer’s disease brain transcriptomic data J. Alzheimers Dis. 2019 68 1635 1656 10.3233/JAD-181085 30909231 PMC6484273 · DOI
  70. [78]Su L Chen S Zheng C Wei H Song X Meta-analysis of gene expression and identification of biological regulatory mechanisms in Alzheimer's disease Front. Neurosci. 2019 13 633 10.3389/fnins.2019.00633 31333395 PMC6616202 · DOI
  71. [79]Kepka A Preventive role of L-carnitine and balanced diet in Alzheimer’s disease Nutrients 2020 12 1987 10.3390/nu12071987 PMC7400709 32635400 · DOI
  72. [80]Spagnoli A Long-term acetyl-L-carnitine treatment in Alzheimer's disease Neurology 1991 41 1726 1726 10.1212/wnl.41.11.1726 1944900 · DOI
  73. [81]Xie Y Liu P-P Lian Y-J Liu H-B Kang J-S The effect of selective serotonin reuptake inhibitors on cognitive function in patients with Alzheimer’s disease and vascular dementia: Focusing on fluoxetine with long follow-up periods Signal Transduct. Target. Ther. 2019 4 1 3 10.1038/s41392-019-0064-7 31637010 PMC6799811 · DOI · Paper page
  74. [82]Ma J Fluoxetine attenuates the impairment of spatial learning ability and prevents neuron loss in middle-aged APPswe/PSEN1dE9 double transgenic Alzheimer's disease mice Oncotarget 2017 8 27676 10.18632/oncotarget.15398 28430602 PMC5438600 · DOI
  75. [83]Chang K-A Therapeutic potentials of neural stem cells treated with fluoxetine in Alzheimer’s disease Neurochem. Int. 2012 61 885 891 10.1016/j.neuint.2012.03.017 22490608 · DOI
  76. [85]Tang M Taghibiglou C The mechanisms of action of curcumin in Alzheimer’s disease J. Alzheimers Dis. 2017 58 1003 1016 10.3233/JAD-170188 28527218 · DOI
  77. [86]Farkhondeh T Samarghandian S Pourbagher-Shahri AM Sedaghat M The impact of curcumin and its modified formulations on Alzheimer's disease J. Cell. Physiol. 2019 234 16953 16965 10.1002/jcp.28411 30847942 · DOI
  78. [87]Chen M Use of curcumin in diagnosis, prevention, and treatment of Alzheimer's disease Neural Regen. Res. 2018 13 742 10.4103/1673-5374.230303 29722330 PMC5950688 · DOI
  79. [88]Wang D-D Desipramine improves depression-like behavior and working memory by up-regulating p-CREB in Alzheimer’s disease associated mice J. Integr. Neurosci. 2016 15 247 260 10.1142/S021963521650014X 27338163 · DOI
  80. [89]Mokhber N Comparison of sertraline, venlafaxine and desipramine effects on depression, cognition and the daily living activities in Alzheimer patients Pharmacopsychiatry 2014 47 131 140 10.1055/s-0034-1377041 24955552 · DOI
  81. [90]Fernandes MF Tache MC Klingel SL Leri F Mutch DM Safflower (n-6) and flaxseed (n-3) high-fat diets differentially regulate hypothalamic fatty acid profiles, gene expression, and insulin signalling Prostagland. Leukot. Essent. Fatty Acids 2018 128 67 73 10.1016/j.plefa.2017.12.002 29413363 · DOI
  82. [91]Davidson ME Kerepesi LA Soto A Chan VT D-serine exposure resulted in gene expression changes implicated in neurodegenerative disorders and neuronal dysfunction in male Fischer 344 rats Arch. Toxicol. 2009 83 747 762 10.1007/s00204-009-0405-3 19212759 · DOI
  83. [92]Mitchell RA Herrmann N Lanctôt KL The role of dopamine in symptoms and treatment of apathy in Alzheimer's disease CNS Neurosci. Ther. 2011 17 411 427 10.1111/j.1755-5949.2010.00161.x 20560994 PMC6493833 · DOI
  84. [94]Anstey KJ Mack HA Cherbuin N Alcohol consumption as a risk factor for dementia and cognitive decline: Meta-analysis of prospective studies Am. J. Geriatr. Psychiatry 2009 17 542 555 10.1097/JGP.0b013e3181a2fd07 19546653 · DOI · Paper page
  85. [95]Venkataraman A Kalk N Sewell G Ritchie CW Lingford-Hughes A Alcohol and Alzheimer's disease—Does alcohol dependence contribute to beta-amyloid deposition, neuroinflammation and neurodegeneration in Alzheimer's disease? Alcohol Alcohol. 2016 52 151 158 10.1093/alcalc/agw092 27915236 · DOI
  86. [96]Chi S Yu J-T Tan M-S Tan L Depression in Alzheimer's disease: Epidemiology, mechanisms, and management J. Alzheimers Dis. 2014 42 739 755 10.3233/JAD-140324 24946876 · DOI
  87. [97]Novais F Starkstein S Phenomenology of depression in Alzheimer’s disease J. Alzheimers Dis. 2015 47 845 855 10.3233/JAD-148004 26401763 · DOI · Paper page
  88. [99]Brunoni AR Lopes M Fregni F A systematic review and meta-analysis of clinical studies on major depression and BDNF levels: Implications for the role of neuroplasticity in depression Int. J. Neuropsychopharmacol. 2008 11 1169 1180 10.1017/s1461145708009309 18752720 · DOI · Paper page
  89. [100]Erickson KI Miller DL Roecklein KA The aging hippocampus: Interactions between exercise, depression, and BDNF Neuroscientist 2012 18 82 97 10.1177/1073858410397054 21531985 PMC3575139 · DOI
  90. [101]Lalli G Schott JM Hardy J De Strooper B Aducanumab: A new phase in therapeutic development for Alzheimer’s disease? EMBO Mol. Med. 2021 13 e14781 10.15252/emmm.202114781 34338436 PMC8350893 · DOI
  91. [102]Gammie SC Evaluation of animal model congruence to human depression based on large-scale gene expression patterns of the CNS Sci. Rep. 2022 12 108 10.1038/s41598-021-04020-1 34997033 PMC8741816 · DOI
  92. [103]Barrett T NCBI GEO: Archive for functional genomics data sets—Update Nucleic Acids Res. 2012 41 D991 D995 10.1093/nar/gks1193 23193258 PMC3531084 · DOI · Paper page
  93. [104]Mahi NA Najafabadi MF Pilarczyk M Kouril M Medvedovic M GREIN: An interactive web platform for re-analyzing GEO RNA-seq data Sci. Rep. 2019 9 7580 10.1038/s41598-019-43935-8 31110304 PMC6527554 · DOI
  94. [107]Kaimal V Bardes EE Tabar SC Jegga AG Aronow BJ ToppCluster: A multiple gene list feature analyzer for comparative enrichment clustering and network-based dissection of biological systems Nucleic Acids Res. 2010 38 W96 W102 10.1093/nar/gkq418 20484371 PMC2896202 · DOI
  95. [108]Kuleshov MV Enrichr: A comprehensive gene set enrichment analysis web server 2016 update Nucleic Acids Res. 2016 44 W90 W97 10.1093/nar/gkw377 27141961 PMC4987924 · DOI · Paper page
  96. [109]Shannon P Cytoscape: A software environment for integrated models of biomolecular interaction networks Genome Res. 2003 13 2498 2504 10.1101/gr.1239303 14597658 PMC403769 · DOI · Paper page
  97. [111]Plaisier SB Taschereau R Wong JA Graeber TG Rank–rank hypergeometric overlap: Identification of statistically significant overlap between gene-expression signatures Nucleic Acids Res. 2010 38 e169 10.1093/nar/gkq636 20660011 PMC2943622 · DOI · Paper page

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Authors
Hill, M. A., & Gammie, S. C.
Affiliations
University of Wisconsin–Madison (US)
Corresponding author
Gammie, Stephen C.
Venue
Scientific Reports
Published
2022-10-13
Volume
12
Issue
1
Pages
17189-17189
ISSN
2045-2322 (ISSN-L)
OpenAlex
W4304974810
Cited by
56
References
12
Citations by year
2026: 15 · 2025: 15 · 2024: 17 · 2023: 9
FWCI
1.38
Type
journal article
Language
en
Open access
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Mayo Clinic (P50 AG016574, R01 AG032990)
  • Arizona Department of Health Services (P50 AG016574, RF1AG057440, R01 AG032990)
  • Rush University (P30AG10161, R01 AG15819)
  • National Center for Geriatrics and Gerontology
  • Arizona Biomedical Research Commission
  • National Institutes of Health (U01AG006576, AG016574, R01AG025711, R01AG003949, R01AG017216)
  • National Institute on Aging (R01AG017917, U01AG046170, R01AG018023, R01AG036836, U01AG046152, U01AG006786, R01AG015819, RF1AG057440, P30AG010161, U01AG061356, R01AG032990, P30AG019610, P01AG017216, U01AG046139, U24AG061340, P30AG072975, P50AG016574)
  • National Institute of Neurological Disorders and Stroke (R01NS080820, U24NS072026)
Topics
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
Keywords
Alzheimer's disease, dysregulated genes, exercise therapy, fluoxetine, curcumin, ITPKB, glial fibrillary acidic protein, transcription factors, sex differences, depression, neurodegeneration, treatment prediction, brain regions
MeSH terms
Alzheimer Disease, Curcumin, Female, Fluoxetine, Humans, Inositol, Interferons, Male, Transcription Factors, Gene Expression, rho GTP-Binding Proteins

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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