journal article·2026-05Open access

Alzheimer's Disease Risk Factor APOE4 Exerts Dimorphic Effects on Female Bone

Charles A. Schurman, Gurcharan Kaur, Serra Kaya, Joanna Bons, Carlos Galicia Aguirre, Qi Liu, Christina D. King, Kenneth A. Wilson, Harrison L. Baker, Mikayla Hady, Nadja Maldonado Luna, Gregor Bieri, Saul A. Villeda, Lisa M. Ellerby, Birgit Schilling, Tamara Alliston

Advanced Science· Volume 13· Issue 28

Abstract

ABSTRACT Individuals with Alzheimer's disease (AD) are at an increased risk of bone fracture, while osteoporosis in women is one of the earliest predictors of AD. Yet the mechanisms linking cognitive decline and skeletal deterioration remain poorly defined. Proteomic analysis of cortical bone from aged 21‐month‐old mice revealed strong enrichment of neurodegeneration‐associated proteins, including apolipoprotein E (Apoe) and amyloid precursor protein. Apoe localized specifically to osteocytes, with expression in aged female bone nearly twice that of young 4‐month‐old male bone. Because human APOE alleles confer different age‐related AD risks, we examined their roles in bone using humanized APOE2, APOE3, and APOE4 knock‐in mice and analyzed bone and hippocampus from the same animals. APOE4 produced marked sex‐specific effects on the bone transcriptome and proteome compared with APOE2 or APOE3. Strikingly, APOE4‐associated proteomic disruptions were stronger in female bone than in the hippocampus. Functionally, APOE4 caused bone fragility in females without altering cortical structure. These deficits stemmed from impaired osteocyte perilacunocanalicular remodeling. Our findings identify APOE4 as a molecular driver of early osteocyte dysfunction and reduced bone quality, disproportionately affecting females. These findings highlight osteocytes as potential targets for early diagnosis of age‐related cognitive impairment and treatment for bone fragility, in females.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Bone health and osteoporosis research · Bone Metabolism and Diseases · Bone health and treatments

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Buck Institute for Research on Aging Novato California USA

Department of Orthopaedic Surgery University of California San Francisco California USA

Department of Anatomy University of California San Francisco California USA

Bakar Aging Research Institute University of California San Francisco California USA

Intramural Research Program National Institute of Arthritis and Musculoskeletal and Skin Diseases NIH Bethesda Maryland USA

Funding

National Institutes of Health · National Institute of Arthritis and Musculoskeletal and Skin Diseases · National Institute of Dental and Craniofacial Research · National Institute on Aging

References (100+)

Show source-provided references
1. 10.1016/j.archger.2022.10487910.1016/j.archger.2022.104879 ↗
2. 10.1111/jgs.1863810.1111/jgs.18638 ↗
3. 10.1002/jbmr.443110.1002/jbmr.4431 ↗
4. 10.1100/2012/87217310.1100/2012/872173 ↗
5. 10.14740/jocmr2970w10.14740/jocmr2970w ↗
6. Sex and Gender Differences in Alzheimer's Disease Dementia
7. 10.1056/NEJMoa02246410.1056/NEJMoa022464 ↗
8. 10.3390/ijms2303137610.3390/ijms23031376 ↗
9. 10.3389/fnagi.2023.126042710.3389/fnagi.2023.1260427 ↗
10. 10.1001/jama.1997.0355016006904110.1001/jama.1997.03550160069041 ↗
11. 10.1038/s43587-024-00573-810.1038/s43587-024-00573-8 ↗
12. 10.1186/s12929-019-0524-y10.1186/s12929-019-0524-y ↗
13. 10.5114/fn.2019.8592910.5114/fn.2019.85929 ↗
14. Hippocampus and Its Involvement in Alzheimer's Disease: A Review
15. 10.1038/ng0694-18010.1038/ng0694-180 ↗
16. 10.1126/science.834644310.1126/science.8346443 ↗
17. 10.1002/ana.2413510.1002/ana.24135 ↗
18. 10.1142/S0192415X8900025510.1142/S0192415X89000255 ↗
19. 10.1016/j.plipres.2010.09.00110.1016/j.plipres.2010.09.001 ↗
20. 10.1016/j.neulet.2019.13430610.1016/j.neulet.2019.134306 ↗
21. 10.1007/s00109-016-1427-y10.1007/s00109-016-1427-y ↗
22. 10.1016/j.pathol.2018.11.00210.1016/j.pathol.2018.11.002 ↗
23. 10.1194/jlr.M500114-JLR20010.1194/jlr.M500114-JLR200 ↗
24. 10.3233/JAD-20129310.3233/JAD-201293 ↗
25. 10.1038/s41467-022-28473-810.1038/s41467-022-28473-8 ↗
26. 10.1093/function/zqaf01710.1093/function/zqaf017 ↗
27. 10.1016/j.nbd.2025.10691610.1016/j.nbd.2025.106916 ↗
28. 10.1016/j.bbrc.2018.06.05510.1016/j.bbrc.2018.06.055 ↗
29. 10.1172/jci.insight.12914410.1172/jci.insight.129144 ↗
30. 10.1210/jc.2004-156810.1210/jc.2004-1568 ↗
31. 10.1093/gerona/glt07910.1093/gerona/glt079 ↗
32. 10.1002/jcb.2479210.1002/jcb.24792 ↗
33. 10.1016/j.bone.2019.01.02510.1016/j.bone.2019.01.025 ↗
34. 10.1007/s11914-017-0402-z10.1007/s11914-017-0402-z ↗
35. 10.1007/s11914-020-00619-x10.1007/s11914-020-00619-x ↗
36. 10.1038/s41413-023-00303-710.1038/s41413-023-00303-7 ↗
37. 10.1073/pnas.202399911810.1073/pnas.2023999118 ↗
38. 10.1016/j.bone.2024.11716310.1016/j.bone.2024.117163 ↗
39. 10.1002/jbmr.32010.1002/jbmr.320 ↗
40. 10.1002/jbmr.156710.1002/jbmr.1567 ↗
41. 10.1002/jbmr.304410.1002/jbmr.3044 ↗
42. 10.1016/j.celrep.2017.10.11510.1016/j.celrep.2017.10.115 ↗
43. 10.1002/jbmr.402310.1002/jbmr.4023 ↗
44. 10.1016/j.bone.2015.02.01610.1016/j.bone.2015.02.016 ↗
45. 10.1002/dvdy.2060310.1002/dvdy.20603 ↗
46. 10.1172/JCI617210.1172/JCI6172 ↗
47. 10.1002/jbmr.175710.1002/jbmr.1757 ↗
48. 10.1002/jbmr.451610.1002/jbmr.4516 ↗
49. 10.1007/978-1-0716-1028-2_1710.1007/978-1-0716-1028-2_17 ↗
50. 10.1093/bioinformatics/bts63510.1093/bioinformatics/bts635 ↗
51. 10.1186/s13059-014-0550-810.1186/s13059-014-0550-8 ↗
52. 10.1371/journal.pcbi.100575210.1371/journal.pcbi.1005752 ↗
53. 10.1089/omi.2011.011810.1089/omi.2011.0118 ↗
54. 10.1111/1467-9868.0034610.1111/1467-9868.00346 ↗
55. 10.1007/s11914-019-00514-010.1007/s11914-019-00514-0 ↗
56. 10.1038/s41413-019-0070-y10.1038/s41413-019-0070-y ↗
57. 10.1038/srep4461810.1038/srep44618 ↗
58. 10.1002/jbmr.14110.1002/jbmr.141 ↗
59. 10.1172/jci.insight.17510310.1172/jci.insight.175103 ↗
60. 10.1016/8756-3282(93)90081-K10.1016/8756-3282(93)90081-K ↗
61. 10.1002/jbmr.253910.1002/jbmr.2539 ↗
62. 10.1371/journal.pone.029226810.1371/journal.pone.0292268 ↗
63. 10.1021/pr070056t10.1021/pr070056t ↗
64. 10.1371/journal.pone.025013710.1371/journal.pone.0250137 ↗
65. 10.1016/j.bone.2020.11576310.1016/j.bone.2020.115763 ↗
66. 10.1002/pmic.20110046310.1002/pmic.201100463 ↗
67. 10.1074/mcp.O111.01671710.1074/mcp.O111.016717 ↗
68. 10.1038/s41467-017-00249-510.1038/s41467-017-00249-5 ↗
69. 10.1074/mcp.RA117.00031410.1074/mcp.RA117.000314 ↗
70. 10.1093/bioinformatics/btt70310.1093/bioinformatics/btt703 ↗
71. 10.1186/1471-2105-9-55910.1186/1471-2105-9-559 ↗
72. 10.1016/j.neuron.2015.01.00810.1016/j.neuron.2015.01.008 ↗
73. 10.1097/MD.000000000001435510.1097/MD.0000000000014355 ↗
74. 10.31083/JIN3640110.31083/JIN36401 ↗
75. 10.7554/eLife.6219910.7554/eLife.62199 ↗
76. 10.1093/gerona/gly17410.1093/gerona/gly174 ↗
77. 10.1016/j.exger.2014.02.00410.1016/j.exger.2014.02.004 ↗
78. 10.1371/journal.pone.005356910.1371/journal.pone.0053569 ↗
79. 10.1074/jbc.M113.49790910.1074/jbc.M113.497909 ↗
80. 10.1523/JNEUROSCI.3815-15.201610.1523/JNEUROSCI.3815-15.2016 ↗
81. 10.1016/j.ajhg.2013.07.01410.1016/j.ajhg.2013.07.014 ↗
82. 10.1111/febs.1603910.1111/febs.16039 ↗
83. 10.1194/jlr.R07579610.1194/jlr.R075796 ↗
84. 10.1016/j.jnha.2024.10016610.1016/j.jnha.2024.100166 ↗
85. 10.1038/s41467-023-41857-810.1038/s41467-023-41857-8 ↗
86. 10.1523/JNEUROSCI.4040-10.201010.1523/JNEUROSCI.4040-10.2010 ↗
87. 10.1073/pnas.050301510210.1073/pnas.0503015102 ↗
88. 10.1016/j.jsbmb.2016.03.01210.1016/j.jsbmb.2016.03.012 ↗
89. 10.3389/fnagi.2025.163287710.3389/fnagi.2025.1632877 ↗
90. 10.1038/s41413-025-00495-010.1038/s41413-025-00495-0 ↗
91. 10.11005/jbm.2023.30.1.110.11005/jbm.2023.30.1.1 ↗
92. 10.1186/s40001-024-01918-010.1186/s40001-024-01918-0 ↗
93. 10.1038/s41413-025-00404-510.1038/s41413-025-00404-5 ↗
94. 10.1038/s41598-019-39884-x10.1038/s41598-019-39884-x ↗
95. 10.1016/j.stemcr.2023.02.01210.1016/j.stemcr.2023.02.012 ↗
96. Batulan Z. · 2024
97. Gender Disparities in Cardiovascular Disease and Their Management: A Review
98. 10.5853/jos.2022.0346810.5853/jos.2022.03468 ↗
99. 10.1016/j.ncl.2023.01.00110.1016/j.ncl.2023.01.001 ↗
100. 10.1016/j.joca.2024.04.00210.1016/j.joca.2024.04.002 ↗