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本文引用的文献

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Roles of Diet-Associated Gut Microbial Metabolites on Brain Health: Cell-to-Cell Interactions between Gut Bacteria and the Central Nervous System.饮食相关的肠道微生物代谢产物对大脑健康的作用:肠道细菌与中枢神经系统之间的细胞间相互作用。
Adv Nutr. 2024 Jan;15(1):100136. doi: 10.1016/j.advnut.2023.10.008. Epub 2023 Oct 29.
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Gut Microbiota and its Metabolites: Bridge of Dietary Nutrients and Alzheimer's Disease.肠道微生物群及其代谢物:饮食营养素与阿尔茨海默病的桥梁。
Adv Nutr. 2023 Jul;14(4):819-839. doi: 10.1016/j.advnut.2023.04.005. Epub 2023 Apr 17.
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Global, regional, and national burden of Alzheimer's disease and other dementias, 1990-2019.1990 - 2019年全球、区域及国家层面阿尔茨海默病和其他痴呆症的负担
Front Aging Neurosci. 2022 Oct 10;14:937486. doi: 10.3389/fnagi.2022.937486. eCollection 2022.
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Bile acids and the gut microbiota: metabolic interactions and impacts on disease.胆汁酸与肠道微生物群:代谢相互作用及其对疾病的影响。
Nat Rev Microbiol. 2023 Apr;21(4):236-247. doi: 10.1038/s41579-022-00805-x. Epub 2022 Oct 17.
6
Association of Data-Driven White Matter Hyperintensity Spatial Signatures With Distinct Cerebral Small Vessel Disease Etiologies.基于数据驱动的脑白质高信号空间特征与不同的脑小血管病病因的相关性研究。
Neurology. 2022 Dec 5;99(23):e2535-e2547. doi: 10.1212/WNL.0000000000201186.
7
Volumetric White Matter Hyperintensity Ranges Correspond to Fazekas Scores on Brain MRI.脑白质高信号体积范围与脑部磁共振成像的 Fazekas 评分相对应。
J Stroke Cerebrovasc Dis. 2022 Apr;31(4):106333. doi: 10.1016/j.jstrokecerebrovasdis.2022.106333. Epub 2022 Feb 11.
8
Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019.2019 年全球痴呆症患病率估计及 2050 年预测患病率:2019 年全球疾病负担研究分析。
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9
Emerging targetome and signalome landscape of gut microbial metabolites.肠道微生物代谢物的新兴靶标组和信号组图谱。
Cell Metab. 2022 Jan 4;34(1):35-58. doi: 10.1016/j.cmet.2021.12.011.
10
Association of Coronary Artery Atherosclerosis With Brain White Matter Hyperintensity.冠状动脉粥样硬化与脑白质高信号的相关性。
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白质高信号强度严重程度改变肠道代谢物与认知结果的关联。

White matter hyperintensity severity modifies gut metabolite association with cognitive outcomes.

作者信息

Kijpaisalratana Naruchorn, Phuah Chia-Ling, Ament Zsuzsanna, Bhave Varun M, Garcia-Guarniz Ana-Lucia, Duskin Jonathan, Couch Catharine A, Irvin M Ryan, Kimberly W Taylor

机构信息

Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Division of Neurology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Division of Academic Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.

Departments of Neurology and Neurosurgery, Barrow Neurological Institute, Phoenix, AZ, USA; Barrow Neuro Analytics Center, Barrow Neurological Institute, Phoenix, AZ, USA.

出版信息

J Prev Alzheimers Dis. 2025 Apr;12(4):100086. doi: 10.1016/j.tjpad.2025.100086. Epub 2025 Feb 11.

DOI:10.1016/j.tjpad.2025.100086
PMID:39939193
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11969563/
Abstract

BACKGROUND

Gut microbiome-associated metabolites and white matter hyperintensities (WMH) are independently associated with cognitive impairment. However, it is unclear if gut metabolites and WMH interact to influence dementia.

OBJECTIVES

To examine the association between gut microbial metabolites and cognitive outcomes and assess whether the severity of baseline WMH would impact associations between gut microbial metabolites and cognitive outcomes.

DESIGN

Cross-sectional design.

SETTING

Cohort of individuals who are clinically normal, mild cognitive impairment, or Alzheimer's Disease in the Alzheimer's Disease Neuroimaging Initiative (ADNI).

PARTICIPANTS

A total of 578 participants with available baseline 3.0T 2D-Fluid Attenuation Inversion Recovery (FLAIR) Magnetic Resonance Imaging (MRI) scans and baseline gut microbial metabolite measurement were included in the analysis.

MEASUREMENTS

Gut metabolite measurements and automated WMH volume estimations were obtained from FLAIR MRI and were used to assess the association and interaction with cognitive impairment.

RESULTS

Of 104 metabolites studied, glycodeoxycholic acid (GDCA) surpassed the false discovery rate and was associated the Alzheimer's Disease Assessment Scale-Cognitive Subscale version 13 (ADAS-Cog13) score (β = 0.12, 95 % CI = 0.05-0.20, p = 0.001) and cognitive impairment determined by mini-mental status exam (MMSE) (OR = 2.11, 95 % CI = 1.41-3.15, p < 0.001). GDCA was associated with higher ADAS-Cog13 in participants with low WMH burden (β = 0.21, 95% CI = 0.10-0.32, p < 0.001) but not in participants with high WMH burden (β = 0.04, 95 % CI = -0.07 to 0.14, p = 0.48; interaction p = 0.02).

CONCLUSION

An elevated level of GDCA was associated with worse cognition. WMH severity modified the association between GDCA and cognitive outcomes.

摘要

背景

肠道微生物群相关代谢产物与脑白质高信号(WMH)均与认知障碍独立相关。然而,尚不清楚肠道代谢产物与WMH是否相互作用影响痴呆。

目的

研究肠道微生物代谢产物与认知结局之间的关联,并评估基线WMH的严重程度是否会影响肠道微生物代谢产物与认知结局之间的关联。

设计

横断面设计。

背景

阿尔茨海默病神经影像学倡议(ADNI)中临床正常、轻度认知障碍或阿尔茨海默病的个体队列。

参与者

共有578名参与者纳入分析,这些参与者有可用的基线3.0T二维液体衰减反转恢复(FLAIR)磁共振成像(MRI)扫描和基线肠道微生物代谢产物测量数据。

测量

从FLAIR MRI获得肠道代谢产物测量值和自动WMH体积估计值,并用于评估与认知障碍的关联和相互作用。

结果

在研究的104种代谢产物中,甘氨脱氧胆酸(GDCA)超过了错误发现率,并与阿尔茨海默病评估量表认知子量表第13版(ADAS-Cog13)评分相关(β = 0.12,95%可信区间 = 0.05 - 0.20,p = 0.001)以及由简易精神状态检查(MMSE)确定的认知障碍相关(比值比 = 2.11,95%可信区间 = 1.41 - 3.15,p < 0.001)。在WMH负担低的参与者中,GDCA与较高的ADAS-Cog13相关(β = 0.21,95%可信区间 = 0.10 - 0.32,p < 0.001),但在WMH负担高的参与者中则不然(β = 0.04,95%可信区间 = -0.07至0.14,p = 0.48;交互作用p = 0.02)。

结论

GDCA水平升高与较差的认知相关。WMH严重程度改变了GDCA与认知结局之间的关联。