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Article: Metabolic phenotyping reveals an emerging role of ammonia abnormality in Alzheimer’s disease

TitleMetabolic phenotyping reveals an emerging role of ammonia abnormality in Alzheimer’s disease
Authors
Issue Date1-Dec-2024
PublisherSpringer Nature
Citation
Nature Communications, 2024, v. 15, n. 1 How to Cite?
AbstractThe metabolic implications in Alzheimer’s disease (AD) remain poorly understood. Here, we conducted a metabolomics study on a moderately aging Chinese Han cohort (n = 1397; mean age 66 years). Conjugated bile acids, branch-chain amino acids (BCAAs), and glutamate-related features exhibited strong correlations with cognitive impairment, clinical stage, and brain amyloid-β deposition (n = 421). These features demonstrated synergistic performances across clinical stages and subpopulations and enhanced the differentiation of AD stages beyond demographics and Apolipoprotein E ε4 allele (APOE-ε4). We validated their performances in eight data sets (total n = 7685) obtained from Alzheimer’s Disease Neuroimaging Initiative (ADNI) and Religious Orders Study and Memory and Aging Project (ROSMAP). Importantly, identified features are linked to blood ammonia homeostasis. We further confirmed the elevated ammonia level through AD development (n = 1060). Our findings highlight AD as a metabolic disease and emphasize the metabolite-mediated ammonia disturbance in AD and its potential as a signature and therapeutic target for AD.
Persistent Identifierhttp://hdl.handle.net/10722/362810

 

DC FieldValueLanguage
dc.contributor.authorChen, Tianlu-
dc.contributor.authorPan, Fengfeng-
dc.contributor.authorHuang, Qi-
dc.contributor.authorXie, Guoxiang-
dc.contributor.authorChao, Xiaowen-
dc.contributor.authorWu, Lirong-
dc.contributor.authorWang, Jie-
dc.contributor.authorCui, Liang-
dc.contributor.authorSun, Tao-
dc.contributor.authorLi, Mengci-
dc.contributor.authorWang, Ying-
dc.contributor.authorGuan, Yihui-
dc.contributor.authorZheng, Xiaojiao-
dc.contributor.authorRen, Zhenxing-
dc.contributor.authorGuo, Yuhuai-
dc.contributor.authorWang, Lu-
dc.contributor.authorZhou, Kejun-
dc.contributor.authorZhao, Aihua-
dc.contributor.authorGuo, Qihao-
dc.contributor.authorXie, Fang-
dc.contributor.authorJia, Wei-
dc.date.accessioned2025-10-01T00:35:25Z-
dc.date.available2025-10-01T00:35:25Z-
dc.date.issued2024-12-01-
dc.identifier.citationNature Communications, 2024, v. 15, n. 1-
dc.identifier.urihttp://hdl.handle.net/10722/362810-
dc.description.abstractThe metabolic implications in Alzheimer’s disease (AD) remain poorly understood. Here, we conducted a metabolomics study on a moderately aging Chinese Han cohort (n = 1397; mean age 66 years). Conjugated bile acids, branch-chain amino acids (BCAAs), and glutamate-related features exhibited strong correlations with cognitive impairment, clinical stage, and brain amyloid-β deposition (n = 421). These features demonstrated synergistic performances across clinical stages and subpopulations and enhanced the differentiation of AD stages beyond demographics and Apolipoprotein E ε4 allele (APOE-ε4). We validated their performances in eight data sets (total n = 7685) obtained from Alzheimer’s Disease Neuroimaging Initiative (ADNI) and Religious Orders Study and Memory and Aging Project (ROSMAP). Importantly, identified features are linked to blood ammonia homeostasis. We further confirmed the elevated ammonia level through AD development (n = 1060). Our findings highlight AD as a metabolic disease and emphasize the metabolite-mediated ammonia disturbance in AD and its potential as a signature and therapeutic target for AD.-
dc.languageeng-
dc.publisherSpringer Nature-
dc.relation.ispartofNature Communications-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleMetabolic phenotyping reveals an emerging role of ammonia abnormality in Alzheimer’s disease-
dc.typeArticle-
dc.identifier.doi10.1038/s41467-024-47897-y-
dc.identifier.pmid38714706-
dc.identifier.scopuseid_2-s2.0-85192241497-
dc.identifier.volume15-
dc.identifier.issue1-
dc.identifier.eissn2041-1723-
dc.identifier.issnl2041-1723-

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