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Brain microRNAs associated with late-life depressive symptoms are also associated with cognitive trajectory and dementia
Late-life depression is associated with an increased risk for dementia but we have limited knowledge of the molecular mechanisms underlying this association. Here we investigated whether brain microRNAs, important posttranscriptional regulators of gene expression, contribute to this association. Lat...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7004995/ https://www.ncbi.nlm.nih.gov/pubmed/32047652 http://dx.doi.org/10.1038/s41525-019-0113-8 |
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author | Wingo, Thomas S. Yang, Jingjing Fan, Wen Min Canon, Se Gerasimov, Ekaterina Sergeevna Lori, Adriana Logsdon, Benjamin Yao, Bing Seyfried, Nicholas T. Lah, James J. Levey, Allan I. Boyle, Patricia A. Schneider, Julia A. De Jager, Philip L. Bennett, David A. Wingo, Aliza P. |
author_facet | Wingo, Thomas S. Yang, Jingjing Fan, Wen Min Canon, Se Gerasimov, Ekaterina Sergeevna Lori, Adriana Logsdon, Benjamin Yao, Bing Seyfried, Nicholas T. Lah, James J. Levey, Allan I. Boyle, Patricia A. Schneider, Julia A. De Jager, Philip L. Bennett, David A. Wingo, Aliza P. |
author_sort | Wingo, Thomas S. |
collection | PubMed |
description | Late-life depression is associated with an increased risk for dementia but we have limited knowledge of the molecular mechanisms underlying this association. Here we investigated whether brain microRNAs, important posttranscriptional regulators of gene expression, contribute to this association. Late-life depressive symptoms were assessed annually in 300 participants of the Religious Orders Study and Rush Memory and Aging Project for a mean of 7 years. Participants underwent annual cognitive testing, clinical assessment of cognitive status, and uniform neuropathologic examination after death. microRNAs were profiled from the prefrontal cortex using NanoString platform in the discovery cohort and small RNA sequencing in the replication cohort. A global microRNA association study of late-life depressive symptoms was performed using linear mixed model adjusting for the potential confounding factors. Four brain microRNAs were associated with late-life depressive symptoms at adjusted p < 0.05: miR-484, miR-26b-5p, miR-30d-5p, and miR-197-3p. Lower expression levels of these miRNAs were associated having greater depressive symptoms. Furthermore, lower levels of miR-484 and miR-197-3p were associated with faster decline of cognition over time. Moreover, lower miR-484 level was associated with higher probability of having Alzheimer’s dementia. Importantly, the associations between miR-484 and depressive symptoms and Alzheimer’s dementia, respectively, were replicated in an independent cohort. Lastly, the predicted targets of miR-484 were enriched in a brain protein co-expression module involving synaptic transmission and regulation of synaptic plasticity. This study identified four brain microRNAs associated with late-life depressive symptoms assessed longitudinally. In addition, we found a molecular connection between late-life depression and dementia through miR-484. |
format | Online Article Text |
id | pubmed-7004995 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70049952020-02-11 Brain microRNAs associated with late-life depressive symptoms are also associated with cognitive trajectory and dementia Wingo, Thomas S. Yang, Jingjing Fan, Wen Min Canon, Se Gerasimov, Ekaterina Sergeevna Lori, Adriana Logsdon, Benjamin Yao, Bing Seyfried, Nicholas T. Lah, James J. Levey, Allan I. Boyle, Patricia A. Schneider, Julia A. De Jager, Philip L. Bennett, David A. Wingo, Aliza P. NPJ Genom Med Article Late-life depression is associated with an increased risk for dementia but we have limited knowledge of the molecular mechanisms underlying this association. Here we investigated whether brain microRNAs, important posttranscriptional regulators of gene expression, contribute to this association. Late-life depressive symptoms were assessed annually in 300 participants of the Religious Orders Study and Rush Memory and Aging Project for a mean of 7 years. Participants underwent annual cognitive testing, clinical assessment of cognitive status, and uniform neuropathologic examination after death. microRNAs were profiled from the prefrontal cortex using NanoString platform in the discovery cohort and small RNA sequencing in the replication cohort. A global microRNA association study of late-life depressive symptoms was performed using linear mixed model adjusting for the potential confounding factors. Four brain microRNAs were associated with late-life depressive symptoms at adjusted p < 0.05: miR-484, miR-26b-5p, miR-30d-5p, and miR-197-3p. Lower expression levels of these miRNAs were associated having greater depressive symptoms. Furthermore, lower levels of miR-484 and miR-197-3p were associated with faster decline of cognition over time. Moreover, lower miR-484 level was associated with higher probability of having Alzheimer’s dementia. Importantly, the associations between miR-484 and depressive symptoms and Alzheimer’s dementia, respectively, were replicated in an independent cohort. Lastly, the predicted targets of miR-484 were enriched in a brain protein co-expression module involving synaptic transmission and regulation of synaptic plasticity. This study identified four brain microRNAs associated with late-life depressive symptoms assessed longitudinally. In addition, we found a molecular connection between late-life depression and dementia through miR-484. Nature Publishing Group UK 2020-02-06 /pmc/articles/PMC7004995/ /pubmed/32047652 http://dx.doi.org/10.1038/s41525-019-0113-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Wingo, Thomas S. Yang, Jingjing Fan, Wen Min Canon, Se Gerasimov, Ekaterina Sergeevna Lori, Adriana Logsdon, Benjamin Yao, Bing Seyfried, Nicholas T. Lah, James J. Levey, Allan I. Boyle, Patricia A. Schneider, Julia A. De Jager, Philip L. Bennett, David A. Wingo, Aliza P. Brain microRNAs associated with late-life depressive symptoms are also associated with cognitive trajectory and dementia |
title | Brain microRNAs associated with late-life depressive symptoms are also associated with cognitive trajectory and dementia |
title_full | Brain microRNAs associated with late-life depressive symptoms are also associated with cognitive trajectory and dementia |
title_fullStr | Brain microRNAs associated with late-life depressive symptoms are also associated with cognitive trajectory and dementia |
title_full_unstemmed | Brain microRNAs associated with late-life depressive symptoms are also associated with cognitive trajectory and dementia |
title_short | Brain microRNAs associated with late-life depressive symptoms are also associated with cognitive trajectory and dementia |
title_sort | brain micrornas associated with late-life depressive symptoms are also associated with cognitive trajectory and dementia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7004995/ https://www.ncbi.nlm.nih.gov/pubmed/32047652 http://dx.doi.org/10.1038/s41525-019-0113-8 |
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