Literature DB >> 28035927

Integration of Multilocus Genetic Risk into the Default Mode Network Longitudinal Trajectory during the Alzheimer's Disease Process.

Fan Su1, Hao Shu1,2, Qing Ye1, Chunming Xie1, Baoyu Yuan1, Zhijun Zhang1, Feng Bai1.   

Abstract

The aim of the study was to investigate the cognitive significance of the changes in default mode network (DMN) during the process of Alzheimer's disease (AD) and the genetic basis that drives the alteration. Eighty-seven subjects with mild cognitive impairment (MCI) and 131 healthy controls (HC) were employed at baseline, and they had the genetic risk scores (GRS) based on the GWAS-validated AD-related top loci. Eleven MCIs who converted to AD (c-MCIs), 32 subjects who remained stable (nc-MCIs), and 56 HCs participated in the follow-up analyses after an average of 35 months. Decreased functional connectivity (FC) within temporal cortex was identified for MCIs at baseline, which was partially determined by the GRS; moreover, compensations may occur within the frontal-parietal brain to maintain relatively intact cognition. During the follow-ups, c-MCIs exhibited more FC declines within the prefrontal-parietal lobes and parahippocampal gyrus/hippocampus than the HCs and nc-MCIs. The GRS did not significantly vary among the three groups, whereas associations were identified at risky alleles and FC declines in all AD spectra. Interestingly, the influence of APOEɛ4 varied as the disease progressed; APOEɛ4 was associated with longitudinal FC decreases only for HCs in the single variance-based analyses and deteriorated DMN integration in nc-MCIs by combining the effects of other loci. However, the GRS without APOEɛ4 predicted FC decline for converters. It is suggested that the integration of multilocus genetic risk predicted the longitudinal trajectory of DMN and may be used as a clinical strategy to track AD progression.

Entities:  

Keywords:  Alzheimer’s disease; default mode network; functional MRI; genetic polymorphism; longitudinal investigation; mild cognitive impairment

Mesh:

Substances:

Year:  2017        PMID: 28035927     DOI: 10.3233/JAD-160787

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  5 in total

1.  Accelerated Brain Aging in Amnestic Mild Cognitive Impairment: Relationships with Individual Cognitive Decline, Risk Factors for Alzheimer Disease, and Clinical Progression.

Authors:  Weijie Huang; Xin Li; He Li; Wenxiao Wang; Kewei Chen; Kai Xu; Junying Zhang; Yaojing Chen; Dongfeng Wei; Ni Shu; Zhanjun Zhang
Journal:  Radiol Artif Intell       Date:  2021-06-23

2.  Endocytosis-pathway polygenic scores affects the hippocampal network connectivity and individualized identification across the high-risk of Alzheimer's disease.

Authors:  Yao Zhu; Feifei Zang; Xinyi Liu; Dandan Fan; Qianqian Zhang; Qingguo Ren; Chunming Xie
Journal:  Brain Imaging Behav       Date:  2021-06       Impact factor: 3.978

3.  From Polygenic Scores to Precision Medicine in Alzheimer's Disease: A Systematic Review.

Authors:  Judith R Harrison; Sumit Mistry; Natalie Muskett; Valentina Escott-Price
Journal:  J Alzheimers Dis       Date:  2020       Impact factor: 4.472

Review 4.  Associations of Polygenic Risk Score for Late-Onset Alzheimer's Disease With Biomarkers.

Authors:  Qiaojun Li; Xingping Lv; Fei Jin; Kun Liao; Liyuan Gao; Jiayuan Xu
Journal:  Front Aging Neurosci       Date:  2022-04-14       Impact factor: 5.702

Review 5.  A review of brain imaging biomarker genomics in Alzheimer's disease: implementation and perspectives.

Authors:  Lanlan Li; Xianfeng Yu; Can Sheng; Xueyan Jiang; Qi Zhang; Ying Han; Jiehui Jiang
Journal:  Transl Neurodegener       Date:  2022-09-15       Impact factor: 9.883

  5 in total

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