Giuseppe Tosto1, Thomas D Bird2, David A Bennett3, Bradley F Boeve4, Adam M Brickman1, Carlos Cruchaga5, Kelley Faber6, Tatiana M Foroud6, Martin Farlow7, Alison M Goate8, Neill R Graff-Radford9, Rafael Lantigua10, Jennifer Manly1, Ruth Ottman11, Roger Rosenberg12, Daniel J Schaid13, Nicole Schupf14, Yaakov Stern1, Robert A Sweet15, Richard Mayeux14. 1. Taub Institute for Research on Alzheimer's Disease, The Aging Brain and the Gertrude H. Sergievsky Center, Columbia University College of Physicians and Surgeons, New York, New York2Department of Neurology, Columbia University College of Physicians and Surgeons, New York, New York3New York Presbyterian Hospital in New York City. 2. Department of Neurology, University of Washington, Seattle5Department of Medicine, University of Washington, Seattle. 3. Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois. 4. Department of Neurology, Mayo Clinic, Rochester, Minnesota. 5. Hope Center for Neurological Disorders, Washington University, St Louis, Missouri. 6. Department of Medical and Molecular Genetics, Indiana University, Indianapolis. 7. Department of Neurology, Indiana University Center for Alzheimer's Disease and Related Disorders, Indianapolis. 8. Department of Neuroscience, Mount Sinai School of Medicine, New York, New York. 9. Department of Neurology, Mayo Clinic, Jacksonville, Florida. 10. Department of Medicine, Columbia University, New York, New York. 11. Taub Institute for Research on Alzheimer's Disease, The Aging Brain and the Gertrude H. Sergievsky Center, Columbia University College of Physicians and Surgeons, New York, New York14Department of Epidemiology, Columbia University, New York, New York. 12. Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Center, Dallas16Editor, JAMA Neurology. 13. Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota. 14. Taub Institute for Research on Alzheimer's Disease, The Aging Brain and the Gertrude H. Sergievsky Center, Columbia University College of Physicians and Surgeons, New York, New York2Department of Neurology, Columbia University College of Physicians and Surgeons, New York, New York3New York Presbyterian Hospital in New York City14Department of Epidemiology, Columbia University, New York, New York. 15. Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania19Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania20Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Abstract
IMPORTANCE: The contribution of cardiovascular disease (CV) and cerebrovascular disease to the risk for late-onset Alzheimer disease (LOAD) has been long debated. Investigations have shown that antecedent CV risk factors increase the risk for LOAD, although other investigations have failed to validate this association. OBJECTIVE: To study the contribution of CV risk factors (type 2 diabetes, hypertension, and heart disease) and the history of stroke to LOAD in a data set of large families multiply affected by LOAD. DESIGN, SETTING, AND PARTICIPANTS: The National Institute on Aging Late-Onset Alzheimer Disease/National Cell Repository for Alzheimer Disease family study (hereinafter referred to as NIA-LOAD study) is a longitudinal study of families with multiple members affected with LOAD. A multiethnic community-based longitudinal study (Washington Heights-Inwood Columbia Aging Project [WHICAP]) was used to replicate findings. The 6553 participants in the NIA-LOAD study were recruited from 23 US Alzheimer disease centers with ongoing data collection since 2003; the 5972 WHICAP participants were recruited at Columbia University with ongoing data collection since 1992. Data analysis was performed from 2003 to 2015. MAIN OUTCOMES AND MEASURES: Generalized mixed logistic regression models tested the association of CV risk factors (primary association) with LOAD. History of stroke was used for the secondary association. A secondary model adjusted for the presence of an apolipoprotein E (APOE) ε4 allele. A genetic risk score, based on common variants associated with LOAD, was used to account for LOAD genetic risk beyond the APOE ε4 effect. Mediation analyses evaluated stroke as a mediating factor between the primary association and LOAD. RESULTS: A total of 6553 NIA-LOAD participants were included in the analyses (4044 women [61.7%]; 2509 men [38.3%]; mean [SD] age, 77.0 [9] years), with 5972 individuals from the WHICAP study included in the replication sample (4072 women [68.2%]; 1900 men [31.8%]; mean [SD] age, 76.5 [7.0] years). Hypertension was associated with decreased LOAD risk (odds ratio [OR], 0.63; 95% CI, 0.55-0.72); type 2 diabetes and heart disease were not. History of stroke conferred greater than 2-fold increased risk for LOAD (OR, 2.23; 95% CI, 1.75-2.83). Adjustment for APOE ε4 did not alter results. The genetic risk score was associated with LOAD (OR, 2.85; 95% CI, 2.05-3.97) but did not change the independent association of LOAD with hypertension or stroke. In the WHICAP sample, hypertension was not associated with LOAD (OR, 0.99; 95% CI, 0.88-1.11), whereas history of stroke increased the risk for LOAD (OR, 1.96; 95% CI, 1.56-2.46). The effect of hypertension on LOAD risk was also mediated by stroke in the NIA-LOAD and the WHICAP samples. CONCLUSIONS AND RELEVANCE: In familial and sporadic LOAD, a history of stroke was significantly associated with increased disease risk and mediated the association between selected CV risk factors and LOAD, which appears to be independent of the LOAD-related genetic background.
IMPORTANCE: The contribution of cardiovascular disease (CV) and cerebrovascular disease to the risk for late-onset Alzheimer disease (LOAD) has been long debated. Investigations have shown that antecedent CV risk factors increase the risk for LOAD, although other investigations have failed to validate this association. OBJECTIVE: To study the contribution of CV risk factors (type 2 diabetes, hypertension, and heart disease) and the history of stroke to LOAD in a data set of large families multiply affected by LOAD. DESIGN, SETTING, AND PARTICIPANTS: The National Institute on Aging Late-Onset Alzheimer Disease/National Cell Repository for Alzheimer Disease family study (hereinafter referred to as NIA-LOAD study) is a longitudinal study of families with multiple members affected with LOAD. A multiethnic community-based longitudinal study (Washington Heights-Inwood Columbia Aging Project [WHICAP]) was used to replicate findings. The 6553 participants in the NIA-LOAD study were recruited from 23 US Alzheimer disease centers with ongoing data collection since 2003; the 5972 WHICAP participants were recruited at Columbia University with ongoing data collection since 1992. Data analysis was performed from 2003 to 2015. MAIN OUTCOMES AND MEASURES: Generalized mixed logistic regression models tested the association of CV risk factors (primary association) with LOAD. History of stroke was used for the secondary association. A secondary model adjusted for the presence of an apolipoprotein E (APOE) ε4 allele. A genetic risk score, based on common variants associated with LOAD, was used to account for LOAD genetic risk beyond the APOE ε4 effect. Mediation analyses evaluated stroke as a mediating factor between the primary association and LOAD. RESULTS: A total of 6553 NIA-LOAD participants were included in the analyses (4044 women [61.7%]; 2509 men [38.3%]; mean [SD] age, 77.0 [9] years), with 5972 individuals from the WHICAP study included in the replication sample (4072 women [68.2%]; 1900 men [31.8%]; mean [SD] age, 76.5 [7.0] years). Hypertension was associated with decreased LOAD risk (odds ratio [OR], 0.63; 95% CI, 0.55-0.72); type 2 diabetes and heart disease were not. History of stroke conferred greater than 2-fold increased risk for LOAD (OR, 2.23; 95% CI, 1.75-2.83). Adjustment for APOE ε4 did not alter results. The genetic risk score was associated with LOAD (OR, 2.85; 95% CI, 2.05-3.97) but did not change the independent association of LOAD with hypertension or stroke. In the WHICAP sample, hypertension was not associated with LOAD (OR, 0.99; 95% CI, 0.88-1.11), whereas history of stroke increased the risk for LOAD (OR, 1.96; 95% CI, 1.56-2.46). The effect of hypertension on LOAD risk was also mediated by stroke in the NIA-LOAD and the WHICAP samples. CONCLUSIONS AND RELEVANCE: In familial and sporadic LOAD, a history of stroke was significantly associated with increased disease risk and mediated the association between selected CV risk factors and LOAD, which appears to be independent of the LOAD-related genetic background.
Authors: Aram V Chobanian; George L Bakris; Henry R Black; William C Cushman; Lee A Green; Joseph L Izzo; Daniel W Jones; Barry J Materson; Suzanne Oparil; Jackson T Wright; Edward J Roccella Journal: Hypertension Date: 2003-12-01 Impact factor: 10.190
Authors: Mark Yarchoan; Sharon X Xie; Mitchel A Kling; Jon B Toledo; David A Wolk; Edward B Lee; Vivianna Van Deerlin; Virginia M-Y Lee; John Q Trojanowski; Steven E Arnold Journal: Brain Date: 2012-11-30 Impact factor: 13.501
Authors: Rebecca P Gelber; G Webster Ross; Helen Petrovitch; Kamal H Masaki; Lenore J Launer; Lon R White Journal: Neurology Date: 2013-08-02 Impact factor: 9.910
Authors: Sevil Yasar; Jin Xia; Wenliang Yao; Curt D Furberg; Qian-Li Xue; Carla I Mercado; Annette L Fitzpatrick; Linda P Fried; Claudia H Kawas; Kaycee M Sink; Jeff D Williamson; Steven T DeKosky; Michelle C Carlson Journal: Neurology Date: 2013-08-02 Impact factor: 9.910
Authors: Benjamin R Kummer; Iván Diaz; Xian Wu; Ashley E Aaroe; Monica L Chen; Costantino Iadecola; Hooman Kamel; Babak B Navi Journal: Ann Neurol Date: 2019-08-29 Impact factor: 10.422
Authors: Laibaik Park; Ken Uekawa; Lidia Garcia-Bonilla; Kenzo Koizumi; Michelle Murphy; Rose Pistik; Linda Younkin; Steven Younkin; Ping Zhou; George Carlson; Josef Anrather; Costantino Iadecola Journal: Circ Res Date: 2017-05-17 Impact factor: 17.367
Authors: Jiansong Fang; Andrew A Pieper; Ruth Nussinov; Garam Lee; Lynn Bekris; James B Leverenz; Jeffrey Cummings; Feixiong Cheng Journal: Med Res Rev Date: 2020-07-13 Impact factor: 12.944
Authors: David A Bennett; Aron S Buchman; Patricia A Boyle; Lisa L Barnes; Robert S Wilson; Julie A Schneider Journal: J Alzheimers Dis Date: 2018 Impact factor: 4.472