Association between self-reported multimorbidity and longitudinal brain Aβ deposition in Alzheimer’s disease

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Abstract

Multimorbidity is common in older adults. However, whether multimorbidity accelerates brain beta-amyloid (Aβ) deposition, the molecular driver of Alzheimer’s disease (AD), in humans remains largely unknown. In this study, we selected 435 brain Aβ-positive participants with available longitudinal Aβ-PET data (mean duration 3.9 years) from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort. Twenty-two self-reported chronic disorders were considered as a measure of the severity of multimorbidity. After adjustment for age, sex, education level, APOE-ε4 status and baseline cognitive state, individuals with a high or medium multimorbidity burden had faster rates of brain Aβ accumulation than individuals with a low multimorbidity burden. Moreover, both the central nervous system and peripheral system multimorbidity burdens were associated with longitudinal brain Aβ deposition. These results indicate that peripheral organ and tissue dysfunctions may contribute to AD pathogenesis, which may help researchers better understand AD pathogenesis and tailor interventions for AD from a systemic view.

Original languageEnglish
Article number5905
JournalNature Communications
Volume16
Issue number1
DOIs
StatePublished - Dec 2025

Bibliographical note

Publisher Copyright:
© The Author(s) 2025.

Funding

We gratefully thank all the ADNI participants and staff for their contributions to data acquisition. This work was supported by the National Science Foundation of China (No. 82122023, U22A20294 to X.-L. Bu), the Science and Technology Innovation 2030 Major Projects (No. 2022ZD0211604-1 to X.-L. Bu), the Natural Science Foundation of Chongqing Municipality (No. CSTB2023NSCQ-JQX0019 to X.-L. Bu), and the Project of Sichuan Department of Science and Technology (No. 2023YFS0267 to Y. Xiang, 2022NSFSC1374 to J.-L. Zhao). The investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in the analysis or writing of this report. A complete listing of ADNI investigators can be found at: https://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf. The Fig. 1 was created with Figdraw.com. We gratefully thank all the ADNI participants and staff for their contributions to data acquisition. This work was supported by the National Science Foundation of China (No. 82122023, U22A20294 to X.-L. Bu), the Science and Technology Innovation 2030 Major Projects (No. 2022ZD0211604-1 to X.-L. Bu), the Natural Science Foundation of Chongqing Municipality (No. CSTB2023NSCQ-JQX0019 to X.-L. Bu), and the Project of Sichuan Department of Science and Technology (No. 2023YFS0267 to Y. Xiang, 2022NSFSC1374 to J.-L. Zhao). The investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in the analysis or writing of this report. A complete listing of ADNI investigators can be found at: https://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf . The Fig. was created with Figdraw.com.

FundersFunder number
DoD Alzheimer's Disease Neuroimaging Initiative
Department of Science and Technology of Sichuan Province2022NSFSC1374, 2023YFS0267
National Natural Science Foundation of China (NSFC)2022ZD0211604-1, 82122023, U22A20294
Natural Science Foundation of Chongqing MunicipalityCSTB2023NSCQ-JQX0019

    ASJC Scopus subject areas

    • General Chemistry
    • General Biochemistry, Genetics and Molecular Biology
    • General
    • General Physics and Astronomy

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