Literature DB >> 30445590

Neurobiological substrates underlying the effect of genomic risk for depression on the conversion of amnestic mild cognitive impairment.

Jiayuan Xu1, Qiaojun Li2, Wen Qin1, Mulin Jun Li3, Chuanjun Zhuo1,4, Huaigui Liu1, Feng Liu1, Junping Wang1, Gunter Schumann5,6, Chunshui Yu1,7.   

Abstract

Depression increases the conversion risk from amnestic mild cognitive impairment to Alzheimer's disease with unknown mechanisms. We hypothesize that the cumulative genomic risk for major depressive disorder may be a candidate cause for the increased conversion risk. Here, we aimed to investigate the predictive effect of the polygenic risk scores of major depressive disorder-specific genetic variants (PRSsMDD) on the conversion from non-depressed amnestic mild cognitive impairment to Alzheimer's disease, and its underlying neurobiological mechanisms. The PRSsMDD could predict the conversion from amnestic mild cognitive impairment to Alzheimer's disease, and amnestic mild cognitive impairment patients with high risk scores showed 16.25% higher conversion rate than those with low risk. The PRSsMDD was correlated with the left hippocampal volume, which was found to mediate the predictive effect of the PRSsMDD on the conversion of amnestic mild cognitive impairment. The major depressive disorder-specific genetic variants were mapped into genes using different strategies, and then enrichment analyses and protein-protein interaction network analysis revealed that these genes were involved in developmental process and amyloid-beta binding. They showed temporal-specific expression in the hippocampus in middle and late foetal developmental periods. Cell type-specific expression analysis of these genes demonstrated significant over-representation in the pyramidal neurons and interneurons in the hippocampus. These cross-scale neurobiological analyses and functional annotations indicate that major depressive disorder-specific genetic variants may increase the conversion from amnestic mild cognitive impairment to Alzheimer's disease by modulating the early hippocampal development and amyloid-beta binding. The PRSsMDD could be used as a complementary measure to select patients with amnestic mild cognitive impairment with high conversion risk to Alzheimer's disease.

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Year:  2018        PMID: 30445590      PMCID: PMC6693294          DOI: 10.1093/brain/awy277

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  78 in total

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Journal:  Neurotoxicol Teratol       Date:  2003 Sep-Oct       Impact factor: 3.763

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Journal:  Cell       Date:  2003-01-24       Impact factor: 41.582

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10.  Discovering motifs in ranked lists of DNA sequences.

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Journal:  PLoS Comput Biol       Date:  2007-03-23       Impact factor: 4.475

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  8 in total

1.  Brain microRNAs associated with late-life depressive symptoms are also associated with cognitive trajectory and dementia.

Authors:  Thomas S Wingo; Jingjing Yang; Wen Fan; Se Min Canon; Ekaterina Sergeevna Gerasimov; Adriana Lori; Benjamin Logsdon; Bing Yao; Nicholas T Seyfried; James J Lah; Allan I Levey; Patricia A Boyle; Julia A Schneider; Philip L De Jager; David A Bennett; Aliza P Wingo
Journal:  NPJ Genom Med       Date:  2020-02-06       Impact factor: 8.617

2.  Genetic Evidence Supporting a Causal Role of Depression in Alzheimer's Disease.

Authors:  Nadia V Harerimana; Yue Liu; Ekaterina S Gerasimov; Duc Duong; Thomas G Beach; Eric M Reiman; Julie A Schneider; Patricia Boyle; Adriana Lori; David A Bennett; James J Lah; Allan I Levey; Nicholas T Seyfried; Thomas S Wingo; Aliza P Wingo
Journal:  Biol Psychiatry       Date:  2021-12-16       Impact factor: 12.810

3.  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

4.  Neural network correlates of high-altitude adaptive genetic variants in Tibetans: A pilot, exploratory study.

Authors:  Zhiyue Guo; Cunxiu Fan; Ting Li; Luobu Gesang; Wu Yin; Ningkai Wang; Xuchu Weng; Qiyong Gong; Jiaxing Zhang; Jinhui Wang
Journal:  Hum Brain Mapp       Date:  2020-03-04       Impact factor: 5.038

Review 5.  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

6.  Prediction value of the genetic risk of type 2 diabetes on the amnestic mild cognitive impairment conversion to Alzheimer's disease.

Authors:  Jiayang Yang; Zirui Wang; Yumeng Fu; Jiayuan Xu; Yang Zhang; Wen Qin; Quan Zhang
Journal:  Front Aging Neurosci       Date:  2022-09-15       Impact factor: 5.702

7.  Brain microRNAs associated with late-life depressive symptoms are also associated with cognitive trajectory and dementia.

Authors:  Thomas S Wingo; Jingjing Yang; Wen Fan; Se Min Canon; Ekaterina Sergeevna Gerasimov; Adriana Lori; Benjamin Logsdon; Bing Yao; Nicholas T Seyfried; James J Lah; Allan I Levey; Patricia A Boyle; Julia A Schneider; Philip L De Jager; David A Bennett; Aliza P Wingo
Journal:  NPJ Genom Med       Date:  2020-02-06       Impact factor: 8.617

8.  Validation of the mobile verbal learning test: Illustration of its use for age and disease-related cognitive deficits.

Authors:  Raeanne C Moore; Emily W Paolillo; Erin E Sundermann; Laura M Campbell; Jeremy Delgadillo; Anne Heaton; Joel Swendsen; Colin A Depp
Journal:  Int J Methods Psychiatr Res       Date:  2020-11-07       Impact factor: 4.035

  8 in total

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