Cited by 68Alzheimer's disease research and treatmentsDementia and Cognitive Impairment ResearchNeuroinflammation and Neurodegeneration Mechanisms

Translational approaches to understanding resilience to Alzheimer’s disease

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Neuner, Sarah M., Telpoukhovskaia, Maria, Menon, Vilas, O’Connell, Kristen M.S., Hohman, Timothy J., Kaczorowski, Catherine C.·2022·Trends in Neurosciences

Abstract

Individuals who maintain cognitive function despite high levels of Alzheimer's disease (AD)-associated pathology are said to be 'resilient' to AD. Identifying mechanisms underlying resilience represents an exciting therapeutic opportunity. Human studies have identified a number of molecular and genetic factors associated with resilience, but the complexity of these cohorts prohibits a complete understanding of which factors are causal or simply correlated with resilience. Genetically and phenotypically diverse mouse models of AD provide new and translationally relevant opportunities to identify and prioritize new resilience mechanisms for further cross-species investigation. This review will discuss insights into resilience gained from both human and animal studies and highlight future approaches that may help translate these insights into therapeutics designed to prevent or delay AD-related dementia.

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Crossref · 10.1016/j.tins.2022.02.005

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  • The absence of dementia in AsymAD individuals is partly due to synaptic preservation and, hence, neuron survival.

    “It is well established that the absence of dementia in AsymAD individuals is partly due to synaptic preservation and, hence, neuron survival [31, 67].”

    From Enhanced microglial dynamics and a paucity of tau seeding in the amyloid plaque microenvironment contribute to cognitive resilience in Alzheimer’s disease (2024) · cites this paper as [67]

    The “Features of resilient individuals” section reports preserved synaptic markers and neuron numbers in pathology-positive people without dementia, and the “Concluding remarks” identify maintained synapse structure as a contributor to resilience. The paper does not establish the claimed causal step that synaptic preservation leads to neuron survival; it reports the two forms of preservation together. Page numbers are unavailable in our copy. (LLM, conf=0.84)

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References 95 · Cited by 68

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  1. [1]Selkoe DJ, The molecular pathology of Alzheimer’s disease. Neuron, 1991. 6(4): p. 487– 98. 1673054
  2. [2]Gao Y,, Tau in Alzheimer’s Disease: Mechanisms and Therapeutic Strategies. Curr Alzheimer Res, 2018. 15(3): p. 283– 300. 28413986
  3. [3]Hardy JA and Higgins GA, Alzheimer’s disease: the amyloid cascade hypothesis. Science, 1992. 256(5054): p. 184– 5. 1566067
  4. [4]Goate A,, Segregation of a missense mutation in the amyloid precursor protein gene with familial Alzheimer’s disease. Nature, 1991. 349(6311): p. 704– 6. 1671712
  5. [5]Rahimi J and Kovacs GG, Prevalence of mixed pathologies in the aging brain. Alzheimers Res Ther, 2014. 6(9): p. 82. 25419243 PMC4239398
  6. [6]Aizenstein HJ,, Frequent amyloid deposition without significant cognitive impairment among the elderly. Arch Neurol, 2008. 65(11): p. 1509– 17. 19001171 PMC2636844
  7. [9]Barroeta-Espar I,, Distinct cytokine profiles in human brains resilient to Alzheimer’s pathology. Neurobiol Dis, 2019. 121: p. 327– 337. 30336198 PMC6437670
  8. [10]Boros BD,, Dendritic spines provide cognitive resilience against Alzheimer’s disease. Ann Neurol, 2017. 82(4): p. 602– 614. 28921611 PMC5744899
  9. [11]Latimer CS,, Resistance and resilience to Alzheimer’s disease pathology are associated with reduced cortical pTau and absence of limbic-predominant age-related TDP-43 encephalopathy in a community-based cohort. Acta Neuropathol Commun, 2019. 7(1): p. 91. 31174609 PMC6556006
  10. [12]van Rossum IA,, Injury markers but not amyloid markers are associated with rapid progression from mild cognitive impairment to dementia in Alzheimer’s disease. J Alzheimers Dis, 2012. 29(2): p. 319– 27. 22233766
  11. [16]Lin L,, Resilience to Plasma and Cerebrospinal Fluid Amyloid-beta in Cognitively Normal Individuals: Findings From Two Cohort Studies. Front Aging Neurosci, 2021. 13: p. 610755. 33716709 PMC7943465
  12. [17]Dumitrescu L,, Genetic variants and functional pathways associated with resilience to Alzheimer’s disease. Brain, 2020. 143(8): p. 2561– 2575. 32844198 PMC7447518
  13. [18]Bocancea DI,, Measuring Resilience and Resistance in Aging and Alzheimer Disease Using Residual Methods: A Systematic Review and Meta-analysis. Neurology, 2021. 97(10): p. 474– 488. 34266918 PMC8448552
  14. [19]Hohman TJ,, Asymptomatic Alzheimer disease: Defining resilience. Neurology, 2016. 87(23): p. 2443– 2450. 27815399 PMC5177674
  15. [24]Lee JH,, Genetic Modifiers of Age at Onset in Carriers of the G206A Mutation in PSEN1 With Familial Alzheimer Disease Among Caribbean Hispanics. JAMA Neurol, 2015. 72(9): p. 1043– 51. 26214276 PMC5010776
  16. [26]Franzmeier N,, The BDNFVal66Met SNP modulates the association between beta-amyloid and hippocampal disconnection in Alzheimer’s disease. Mol Psychiatry, 2021. 26(2): p. 614– 628. 30899092 PMC6754794
  17. [27]Huq AJ,, Genetic resilience to Alzheimer’s disease in APOE epsilon4 homozygotes: A systematic review. Alzheimers Dement, 2019. 15(12): p. 1612– 1623. 31506248
  18. [28]Belloy ME,, Association of Klotho-VS Heterozygosity With Risk of Alzheimer Disease in Individuals Who Carry APOE4. JAMA Neurol, 2020. 77(7): p. 849– 862. 32282020 PMC7154955
  19. [29]Franzmeier N,, Higher CSF sTREM2 attenuates ApoE4-related risk for cognitive decline and neurodegeneration. Mol Neurodegener, 2020. 15(1): p. 57. 33032659 PMC7545547
  20. [30]Ewers M,, Increased soluble TREM2 in cerebrospinal fluid is associated with reduced cognitive and clinical decline in Alzheimer’s disease. Sci Transl Med, 2019. 11(507). PMC7050285 31462511
  21. [31]Neitzel J,, KL-VS heterozygosity is associated with lower amyloid-dependent tau accumulation and memory impairment in Alzheimer’s disease. Nat Commun, 2021. 12(1): p. 3825. 34158479 PMC8219708
  22. [32]Belloy ME,, KL *VS heterozygosity reduces brain amyloid in asymptomatic at-risk APOE *4 carriers. Neurobiol Aging, 2021. 101: p. 123– 129. 33610961 PMC8122023
  23. [33]White CC,, Identification of genes associated with dissociation of cognitive performance and neuropathological burden: Multistep analysis of genetic, epigenetic, and transcriptional data. PLoS Med, 2017. 14(4): p. e1002287. 28441426 PMC5404753
  24. [34]Ramanan VK,, Coping with brain amyloid: genetic heterogeneity and cognitive resilience to Alzheimer’s pathophysiology. Acta Neuropathol Commun, 2021. 9(1): p. 48. 33757599 PMC7986461
  25. [36]Yao JJ,, Functions and the related signaling pathways of the neurotrophic factor neuritin. Acta Pharmacol Sin, 2018. 39(9): p. 1414– 1420. 29595190 PMC6289377
  26. [37]Carlyle BC,, Synaptic proteins associated with cognitive performance and neuropathology in older humans revealed by multiplexed fractionated proteomics. Neurobiol Aging, 2021. 105: p. 99– 114. 34052751 PMC8338777
  27. [38]Barker SJ,, MEF2 is a key regulator of cognitive potential and confers resilience to neurodegeneration. Sci Transl Med, 2021. 13(618): p. eabd7695. 34731014 PMC9258338
  28. [39]Churchill GA,, The Diversity Outbred mouse population. Mamm Genome, 2012. 23(9–10): p. 713– 8. 22892839 PMC3524832
  29. [40]Nagahara AH,, Neuroprotective effects of brain-derived neurotrophic factor in rodent and primate models of Alzheimer’s disease. Nat Med, 2009. 15(3): p. 331– 7. 19198615 PMC2838375
  30. [41]Jiao SS,, Brain-derived neurotrophic factor protects against tau-related neurodegeneration of Alzheimer’s disease. Transl Psychiatry, 2016. 6(10): p. e907. 27701410 PMC5315549
  31. [42]Henderson BW,, Pharmacologic inhibition of LIMK1 provides dendritic spine resilience against beta-amyloid. Sci Signal, 2019. 12(587). PMC7088434 31239325
  32. [43]Buckley RF,, Sex, amyloid, and APOE epsilon4 and risk of cognitive decline in preclinical Alzheimer’s disease: Findings from three well-characterized cohorts. Alzheimers Dement, 2018. 14(9): p. 1193– 1203. 29803541 PMC6131023
  33. [44]Jack CR Jr.,, Age, Sex, and APOE epsilon4 Effects on Memory, Brain Structure, and beta-Amyloid Across the Adult Life Span. JAMA Neurol, 2015. 72(5): p. 511– 9. 25775353 PMC4428984
  34. [45]Jack CR Jr.,, Transition rates between amyloid and neurodegeneration biomarker states and to dementia: a population-based, longitudinal cohort study. Lancet Neurol, 2016. 15(1): p. 56– 64. 26597325 PMC4784263
  35. [47]Dubal DB,, Life extension factor klotho prevents mortality and enhances cognition in hAPP transgenic mice. J Neurosci, 2015. 35(6): p. 2358– 71. 25673831 PMC4323521
  36. [48]Swarup V,, Identification of evolutionarily conserved gene networks mediating neurodegenerative dementia. Nat Med, 2019. 25(1): p. 152– 164. 30510257 PMC6602064
  37. [49]Perez-Gonzalez M,, Identifying the Main Functional Pathways Associated with Cognitive Resilience to Alzheimer’s Disease. Int J Mol Sci, 2021. 22(17). PMC8431458 34502030
  38. [50]Kaczorowski CC,, Mechanisms underlying basal and learning-related intrinsic excitability in a mouse model of Alzheimer’s disease. Neurobiol Aging, 2011. 32(8): p. 1452– 65. 19833411 PMC2888747
  39. [51]Perez-Gonzalez M,, PLA2G4E, a candidate gene for resilience in Alzheimer s disease and a new target for dementia treatment. Prog Neurobiol, 2020. 191: p. 101818. 32380223
  40. [52]Neuner SM,, Hippocampal proteomics defines pathways associated with memory decline and resilience in normal aging and Alzheimer’s disease mouse models. Behav Brain Res, 2017. 322(Pt B): p. 288– 298. 27265785 PMC5135662
  41. [53]Lu T,, REST and stress resistance in ageing and Alzheimer’s disease. Nature, 2014. 507(7493): p. 448– 54. 24670762 PMC4110979
  42. [54]Jackson HM,, DBA/2J genetic background exacerbates spontaneous lethal seizures but lessens amyloid deposition in a mouse model of Alzheimer’s disease. PLoS One, 2015. 10(5): p. e0125897. 25933409 PMC4416920
  43. [55]Sipe JD,, Characterization of the inbred CE/J mouse strain as amyloid resistant. Am J Pathol, 1993. 143(5): p. 1480– 5. 7901995 PMC1887174
  44. [57]Neuner SM,, Identification of Pre-symptomatic Gene Signatures That Predict Resilience to Cognitive Decline in the Genetically Diverse AD-BXD Model. Front Genet, 2019. 10: p. 35. 30787942 PMC6372563
  45. [58]Kehoe P,, A full genome scan for late onset Alzheimer’s disease. Hum Mol Genet, 1999. 8(2): p. 237– 45. 9931331
  46. [59]Pericak-Vance MA,, Identification of novel genes in late-onset Alzheimer’s disease. Exp Gerontol, 2000. 35(9–10): p. 1343– 52. 11113612
  47. [60]Heuer SE,, Identifying the molecular systems that influence cognitive resilience to Alzheimer’s disease in genetically diverse mice. Learn Mem, 2020. 27(9): p. 355– 371. 32817302 PMC7433658
  48. [61]Dunn AR,, Identifying Mechanisms of Normal Cognitive Aging Using a Novel Mouse Genetic Reference Panel. Front Cell Dev Biol, 2020. 8: p. 562662. 33042997 PMC7517308
  49. [63]Zhou Y,, Human and mouse single-nucleus transcriptomics reveal TREM2-dependent and TREM2-independent cellular responses in Alzheimer’s disease. Nat Med, 2020. 26(1): p. 131– 142. 31932797 PMC6980793
  50. [64]Sasaguri H,, APP mouse models for Alzheimer’s disease preclinical studies. EMBO J, 2017. 36(17): p. 2473– 2487. 28768718 PMC5579350
  51. [65]Ashbrook DG,, A platform for experimental precision medicine: The extended BXD mouse family. Cell Syst, 2021. 12(3): p. 235– 247 e9. 33472028 PMC7979527
  52. [68]Winter JM,, Mapping Complex Traits in a Diversity Outbred F1 Mouse Population Identifies Germline Modifiers of Metastasis in Human Prostate Cancer. Cell Syst, 2017. 4(1): p. 31– 45 e6. 27916600 PMC5269474
  53. [69]Wei WZ,, Diversity Outbred Mice Reveal the Quantitative Trait Locus and Regulatory Cells of HER2 Immunity. J Immunol, 2020. 205(6): p. 1554– 1563. 32796024 PMC7484363
  54. [70]Hackett JB,, A Diversity Outbred F1 mouse model identifies host-intrinsic genetic regulators of response to immune checkpoint inhibitors bioRxiv, 2021. PMC9037414 35481286
  55. [71]Ouellette AR,, Cross-Species Analyses Identify Dlgap2 as a Regulator of Age-Related Cognitive Decline and Alzheimer’s Dementia. Cell Rep, 2020. 32(9): p. 108091. 32877673 PMC7502175
  56. [72]Dunn AR, O’Connell KMS, and Kaczorowski CC, Gene-by-environment interactions in Alzheimer’s disease and Parkinson’s disease. Neurosci Biobehav Rev, 2019. 103: p. 73– 80. 31207254 PMC6700747
  57. [73]Shepherd A,, Transgenic Mouse Models as Tools for Understanding How Increased Cognitive and Physical Stimulation Can Improve Cognition in Alzheimer’s Disease. Brain Plast, 2018. 4(1): p. 127– 150. 30564551 PMC6296266
  58. [74]Bekris LM,, Genetics of Alzheimer disease. J Geriatr Psychiatry Neurol, 2010. 23(4): p. 213– 27. 21045163 PMC3044597
  59. [75]Reitz C, Rogaeva E, and Beecham GW, Late-onset vs nonmendelian early-onset Alzheimer disease: A distinction without a difference? Neurol Genet, 2020. 6(5): p. e512. 33225065 PMC7673282
  60. [77]Stern Y,, Whitepaper: Defining and investigating cognitive reserve, brain reserve, and brain maintenance. Alzheimers Dement, 2020. 16(9): p. 1305– 1311. 30222945 PMC6417987
  61. [78]Fillenbaum GG,, Consortium to Establish a Registry for Alzheimer’s Disease (CERAD): the first twenty years. Alzheimers Dement, 2008. 4(2): p. 96– 109. 18631955 PMC2808763
  62. [80]Yao T,, Quantifying cognitive resilience in Alzheimer’s Disease: The Alzheimer’s Disease Cognitive Resilience Score. PLoS One, 2020. 15(11): p. e0241707. 33152028 PMC7643963
  63. [81]Arenaza-Urquijo EM and Vemuri P, Resistance vs resilience to Alzheimer disease: Clarifying terminology for preclinical studies. Neurology, 2018. 90(15): p. 695– 703. 29592885 PMC5894932
  64. [82]Churchill GA,, The Collaborative Cross, a community resource for the genetic analysis of complex traits. Nat Genet, 2004. 36(11): p. 1133– 7. 15514660
  65. [83]Mulligan MK,, GeneNetwork: A Toolbox for Systems Genetics. Methods Mol Biol, 2017. 1488: p. 75– 120. 27933521 PMC7495243
  66. [84]Li H,, An Integrated Systems Genetics and Omics Toolkit to Probe Gene Function. Cell Syst, 2018. 6(1): p. 90– 102 e4. 29199021
  67. [85]Bogue MA,, Mouse Phenome Database: a data repository and analysis suite for curated primary mouse phenotype data. Nucleic Acids Res, 2020. 48(D1): p. D716– D723. 31696236 PMC7145612
  68. [86]Hohman TJ,, The role of vascular endothelial growth factor in neurodegeneration and cognitive decline: exploring interactions with biomarkers of Alzheimer disease. JAMA Neurol, 2015. 72(5): p. 520– 9. 25751166 PMC4428948
  69. [87]Yu L,, Targeted brain proteomics uncover multiple pathways to Alzheimer’s dementia. Ann Neurol, 2018. 84(1): p. 78– 88. 29908079 PMC6119500
  70. [89]Lim YY,, APOE and BDNF polymorphisms moderate amyloid beta-related cognitive decline in preclinical Alzheimer’s disease. Mol Psychiatry, 2015. 20(11): p. 1322– 8. 25288138 PMC4759101
  71. [90]Lim YY,, Effect of BDNFVal66Met on disease markers in dominantly inherited Alzheimer’s disease. Ann Neurol, 2018. 84(3): p. 424– 435. 30014553 PMC6153076
  72. [91]Busatto GF,, In vivo imaging evidence of poor cognitive resilience to Alzheimer’s disease pathology in subjects with very low cognitive reserve from a low-middle income environment. Alzheimers Dement (Amst), 2020. 12(1): p. e12122. 33426265 PMC7780143
  73. [92]Oveisgharan S,, Association of Early-Life Cognitive Enrichment With Alzheimer Disease Pathological Changes and Cognitive Decline. JAMA Neurol, 2020. 77(10): p. 1217– 1224. 32597941 PMC7325069

Authors
Neuner, S. M., Telpoukhovskaia, M., Menon, V., O’Connell, K. M. S., Hohman, T. J., & Kaczorowski, C. C.
Affiliations
  • Icahn School of Medicine at Mount Sinai (US)
  • Jackson Laboratory (US)
  • Columbia University Irving Medical Center (US)
  • Tufts University (US)
  • Vanderbilt University Medical Center (US)
Corresponding author
Kaczorowski, Catherine C.
Venue
Trends in Neurosciences
Publisher
Elsevier BV
Published
2022-05
Volume
45
Issue
5
Pages
369-383
ISSN
0166-2236 (ISSN-L)
OpenAlex
W4220663587
Cited by
68
References
95
Citations by year
2026: 9 · 2025: 20 · 2024: 17 · 2023: 19 · 2022: 3
FWCI
2.03
Type
journal article
Language
en
Open access
Locations
  • Trends in Neurosciences (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • The Mouseion at the JAXlibrary (Jackson Laboratory) (submittedVersion, cc-by)
Funders
National Institute on Aging (R01AG057914, R01AG059716, RF1AG059778, R01AG061518, RF1AG063755, F32AG069503, R01AG054180, R01AG066831, R01AG074012)
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, cognitive resilience, mouse models of Alzheimer's disease, genetic risk factors, dementia prevention, translational research, cross-species translation, therapeutic target
MeSH terms
Alzheimer Disease, Animals, Brain, Cognition, Humans, Protein Processing, Post-Translational, Mice, Resilience, Psychological

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