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Subgroup analyses confirmed a significant reduction in TTR levels across multiple dimensions: 1) sample types (serum); 2) population characteristics (age difference &lt; 5 years and sex difference \u2265 10%); and 3) detection methods (immunoassay). Multivariate meta-regression with region, sample source, detection technology, and female ratio difference as covariates, accounted for 36.81% of the between-study heterogeneity. Sensitivity analysis verified result robustness, and publication bias was resolved after excluding an outlier study.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Lower TTR levels are significantly associated with AD. This finding suggests that TTR warrants further investigation as a candidate biomarker for AD, although prospective studies are needed to validate its clinical utility.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/25424823261478024","type":"journal-article","created":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T08:53:10Z","timestamp":1787907190000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Association between transthyretin levels and Alzheimer's disease: A meta-analysis"],"prefix":"10.1177","volume":"10","author":[{"given":"Bing-Qiu","family":"Li","sequence":"first","affiliation":[{"name":"National Clinical Research Center for Geriatric Diseases"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fang-Yu","family":"Li","sequence":"additional","affiliation":[{"name":"National Clinical Research Center for Geriatric Diseases"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ling-Zhi","family":"Xu","sequence":"additional","affiliation":[{"name":"National Clinical Research Center for Geriatric Diseases"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Li","sequence":"additional","affiliation":[{"name":"National Clinical Research Center for Geriatric Diseases"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4624-0336","authenticated-orcid":false,"given":"Jian-Ping","family":"Jia","sequence":"additional","affiliation":[{"name":"National Clinical Research Center for Geriatric Diseases"},{"name":"Chinese Institutes for Medical Research, Beijing (CIMR), Capital Medical University, Beijing, China"},{"name":"Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China"},{"name":"Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China"},{"name":"Center of Alzheimer's Disease, Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China"},{"name":"Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,8,28]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1002\/alz.13809"},{"key":"e_1_3_3_3_2","article-title":"Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019","volume":"7","author":"GBD 2019 Dementia Forecasting Collaborators","year":"2022","unstructured":"GBD 2019 Dementia Forecasting Collaborators. 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