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Purine metabolism disruption links pathology and cognitive decline in Alzheimer’s disease
Xiaohang Qian, Zhongxuan Wang, Siyue Chen, Yang Xue, Yawen Yang, Peijing Cui, Miao Zhang, Huidong Tang
Xiaohang Qian, Zhongxuan Wang, Siyue Chen, Yang Xue, Yawen Yang, Peijing Cui, Miao Zhang, Huidong Tang
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Research Article Aging Metabolism Neuroscience

Purine metabolism disruption links pathology and cognitive decline in Alzheimer’s disease

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Abstract

Purine metabolism dysregulation has been implicated in Alzheimer’s disease (AD), but its temporal dynamics and mechanistic links to core pathologies remain unclear. This translational study integrated a longitudinal preclinical AD mouse model and clinical cohort investigations to define the role of purine metabolism in AD progression. In APPswe/PSEN1dE9 (APP/PS1) mice, serum-untargeted metabolomics identified purine metabolism as the most notably altered pathway, with metabolite levels (e.g., adenine, adenosine) shifting dynamically across disease stages alongside increasing amyloid-β (Aβ) burden. In the pathology-defined clinical cohort, targeted analysis revealed that serum uric acid and allantoin were specifically depleted in the Aβ+ cognitively impaired (CI) group and correlated strongly with higher brain Aβ load, increased neuroinflammation, and poorer cognitive scores. Formal mediation analysis elucidated a plausible mechanistic cascade: the association of uric acid/allantoin with cognitive impairment was primarily mediated by Aβ pathology. Two-year longitudinal data further suggest that changes in specific purine metabolites might predict the rate of cognitive decline. Allantoin supplementation reduced Aβ pathology through promoting microglial phagocytosis of Aβ in APP/PS1 mice. Our findings identified purine metabolism as a key hub connecting Aβ pathology, neuroinflammation, and clinical progression in AD.

Authors

Xiaohang Qian, Zhongxuan Wang, Siyue Chen, Yang Xue, Yawen Yang, Peijing Cui, Miao Zhang, Huidong Tang

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Figure 3

The difference in purine metabolism profile in the ADIMIC and their correlations with pathological markers.

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The difference in purine metabolism profile in the ADIMIC and their corr...
(A–H) The differences in metabolites related to purine metabolism between the serum of Aβ+ CI and Aβ– CU group. Data are presented as mean ± SD. Statistics were analyzed using covariance adjusting for age, sex, education, and APOE4 carrier status. (I) Partial correlation analysis of the differences in purine metabolites with the AD biomarker standards and cognitive levels adjusting for age, sex, education, and APOE4 carrier status. (J–L) Mediating effect of AV45 global SUVR, Aβ42/40, and Aβ42 on association between uric acid and MMSE scores. (M–O) Mediating effect of AV45 global SUVR, Aβ42/40, and Aβ42 on association between allantoin and MMSE scores. (P–R) Mediating effect of AV45 global SUVR, Aβ42/40, and Aβ42 on association between allantoin and MOCA scores. All the mediation analysis were adjusted for age, sex, education, and APOE4 carrier status. Aβ, amyloid-β; ADIMIC, Alzheimer’s Disease Immunization and Microbiota Initiative study Cohort; CI, cognitively impaired; CU, cognitively unimpaired; MMSE, Mini-mental state examination, MOCA, Montreal cognitive assessment. *P < 0.05, **P < 0.01, ***P < 0.001.

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ISSN 2379-3708

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