{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T03:18:37Z","timestamp":1792034317544,"version":"4.4.0"},"reference-count":56,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"12","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2026,6,16]]},"abstract":"<jats:sec xml:lang=\"en\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p xml:lang=\"en\">Cardiovascular disease (CVD) and Alzheimer's disease (AD) are major public health concerns that share overlapping risk factors and potential mechanistic pathways. Although vascular contributions to cognitive decline are well documented, the specific relationships between AD and different CVD subtypes remain poorly understood.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p xml:lang=\"en\">\n                      In this cross\u2010sectional study, we examined associations between AD and 11 CVD subtypes using logistic regression models in 2 large biobanks: the UK Biobank (n=502\u2009133) and the All of Us Research Program (n=287\u2009011). Models were adjusted for demographic, lifestyle, and clinical covariates. We also explored genetic overlap between AD and CVD traits through proximity\u2010based analysis of significant single nucleotide variants (\n                      <jats:italic toggle=\"no\">P<\/jats:italic>\n                      &lt;5\u2009\u00d7\u200910\n                      <jats:sup>\u22128<\/jats:sup>\n                      ) using genome\u2010wide association study data.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p xml:lang=\"en\">\n                      Most CVD subtypes were significantly associated with AD in both cohorts. Hypotension had the strongest and most consistent association, although it has been comparatively understudied in AD research. Strong associations were also consistently observed between AD and hypertension and cerebral infarction. Notably, acute myocardial infarction was not significantly linked to AD. Genetic analyses revealed shared loci between AD\u2010 and CVD\u2010related traits, particularly in regions near\n                      <jats:italic toggle=\"no\">APOE<\/jats:italic>\n                      ,\n                      <jats:italic toggle=\"no\">MAPT<\/jats:italic>\n                      , and genes influencing myocardial structure and vascular function.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p xml:lang=\"en\">This study identifies subtype\u2010specific CVD associations with AD across 2 diverse cohorts and highlights shared genetic architecture underlying heart\u2013brain interactions. These findings underscore the importance of vascular health in AD risk and suggest that certain CVD subtypes, especially hypotension, may play underrecognized roles in cognitive decline.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1161\/jaha.125.046172","type":"journal-article","created":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T11:32:53Z","timestamp":1781091173000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":1,"title":["Cardiovascular Disease Subtypes and Alzheimer's Disease: Phenotypic and Genetic Associations in the UK Biobank and All of Us Research Program"],"prefix":"10.1161","volume":"15","author":[{"given":"Aili","family":"Toyli","sequence":"first","affiliation":[{"name":"Michigan Technological University","place":["Houghton, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5782-3329","authenticated-orcid":false,"given":"Chen","family":"Zhao","sequence":"additional","affiliation":[{"name":"Kennesaw State University","place":["Marietta, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kuan\u2010Jui","family":"Su","sequence":"additional","affiliation":[{"name":"Tulane University","place":["New Orleans, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0335-6064","authenticated-orcid":false,"given":"Hui","family":"Shen","sequence":"additional","affiliation":[{"name":"Tulane University","place":["New Orleans, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0387-8818","authenticated-orcid":false,"given":"Hong\u2010Wen","family":"Deng","sequence":"additional","affiliation":[{"name":"Tulane University","place":["New Orleans, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1639-5292","authenticated-orcid":false,"given":"Qing\u2010Hui","family":"Chen","sequence":"additional","affiliation":[{"name":"Michigan Technological University","place":["Houghton, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9342-3269","authenticated-orcid":false,"given":"Qiuying","family":"Sha","sequence":"additional","affiliation":[{"name":"Michigan Technological University","place":["Houghton, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6039-959X","authenticated-orcid":false,"given":"Weihua","family":"Zhou","sequence":"additional","affiliation":[{"name":"Michigan Technological University","place":["Houghton, USA"]},{"name":"Institute of Computing and Cybersystems, and Health Research Institute, Michigan Technological University","place":["Houghton, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1161\/JAHA.123.030780"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/2617970"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.nbd.2024.106636"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCRESAHA.118.313563"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30367-6"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2023.1077860"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.25882"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.3390\/brainsci13091322"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1111\/joim.12955"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMsr1809937"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.puhe.2011.12.007"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.3233\/jad-190474"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1097\/CM9.0000000000003103"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.4103\/aian.aian_361_23"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.7759\/cureus.25005"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1111\/eci.13451"},{"key":"e_1_3_2_18_2","volume-title":"ICD\u201010\u2009: International Statistical Classification of Diseases and Related Health Problems\u2009: Tenth Revision","author":"World Health Organization","year":"2004","unstructured":"World Health Organization . 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