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Unique Transcriptional Signatures Correlate with Behavioral and Psychological Symptom Domains in Alzheimer’s Disease
Despite the significant burden, cost, and worse prognosis of Alzheimer’s disease (AD) with behavioral and psychological symptoms of dementia (BPSD), little is known about the molecular causes of these symptoms. Using antemortem assessments of BPSD in AD, we demonstrate that individual BPSD can be gr...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Journal Experts
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882691/ https://www.ncbi.nlm.nih.gov/pubmed/36711772 http://dx.doi.org/10.21203/rs.3.rs-2444391/v1 |
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author | Fisher, Daniel W. Dunn, Jeffrey T. Keszycki, Rachel Rodriguez, Guadalupe Bennett, David A. Wilson, Robert S. Dong, Hongxin |
author_facet | Fisher, Daniel W. Dunn, Jeffrey T. Keszycki, Rachel Rodriguez, Guadalupe Bennett, David A. Wilson, Robert S. Dong, Hongxin |
author_sort | Fisher, Daniel W. |
collection | PubMed |
description | Despite the significant burden, cost, and worse prognosis of Alzheimer’s disease (AD) with behavioral and psychological symptoms of dementia (BPSD), little is known about the molecular causes of these symptoms. Using antemortem assessments of BPSD in AD, we demonstrate that individual BPSD can be grouped into 4 domain factors in our sample: affective, apathy, agitation, and psychosis. Then, we performed a transcriptome-wide analysis for each domain utilizing bulk RNA-seq of post-mortem anterior cingulate cortex (ACC) tissue. Though all 4 domains are associated with a predominantly downregulated pattern of hundreds of differentially expressed genes (DEGs), most DEGs are unique to each domain, with only 22 DEGs being common to all BPSD domains, including TIMP1. Weighted gene co-expression network analysis (WGCNA) yielded multiple transcriptional modules that were shared between BPSD domains or unique to each domain, and NetDecoder was used to analyze context-dependent information flow through the biological network. For the agitation domain, we found that all DEGs and a highly correlated transcriptional module were functionally enriched for ECM-related genes including TIMP1, TAGLN, and FLNA. Another unique transcriptional module also associated with the agitation domain was enriched with genes involved in post-synaptic signaling, including DRD1, PDE1B, CAMK4, and GABRA4. By comparing context-dependent changes in DEGs between cases and control networks, ESR1 and PARK2 were implicated as two high impact genes associated with agitation that mediated significant information flow through the biological network. Overall, our work establishes unique targets for future study of the biological mechanisms of BPSD and resultant drug development. |
format | Online Article Text |
id | pubmed-9882691 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Journal Experts |
record_format | MEDLINE/PubMed |
spelling | pubmed-98826912023-01-28 Unique Transcriptional Signatures Correlate with Behavioral and Psychological Symptom Domains in Alzheimer’s Disease Fisher, Daniel W. Dunn, Jeffrey T. Keszycki, Rachel Rodriguez, Guadalupe Bennett, David A. Wilson, Robert S. Dong, Hongxin Res Sq Article Despite the significant burden, cost, and worse prognosis of Alzheimer’s disease (AD) with behavioral and psychological symptoms of dementia (BPSD), little is known about the molecular causes of these symptoms. Using antemortem assessments of BPSD in AD, we demonstrate that individual BPSD can be grouped into 4 domain factors in our sample: affective, apathy, agitation, and psychosis. Then, we performed a transcriptome-wide analysis for each domain utilizing bulk RNA-seq of post-mortem anterior cingulate cortex (ACC) tissue. Though all 4 domains are associated with a predominantly downregulated pattern of hundreds of differentially expressed genes (DEGs), most DEGs are unique to each domain, with only 22 DEGs being common to all BPSD domains, including TIMP1. Weighted gene co-expression network analysis (WGCNA) yielded multiple transcriptional modules that were shared between BPSD domains or unique to each domain, and NetDecoder was used to analyze context-dependent information flow through the biological network. For the agitation domain, we found that all DEGs and a highly correlated transcriptional module were functionally enriched for ECM-related genes including TIMP1, TAGLN, and FLNA. Another unique transcriptional module also associated with the agitation domain was enriched with genes involved in post-synaptic signaling, including DRD1, PDE1B, CAMK4, and GABRA4. By comparing context-dependent changes in DEGs between cases and control networks, ESR1 and PARK2 were implicated as two high impact genes associated with agitation that mediated significant information flow through the biological network. Overall, our work establishes unique targets for future study of the biological mechanisms of BPSD and resultant drug development. American Journal Experts 2023-01-11 /pmc/articles/PMC9882691/ /pubmed/36711772 http://dx.doi.org/10.21203/rs.3.rs-2444391/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Fisher, Daniel W. Dunn, Jeffrey T. Keszycki, Rachel Rodriguez, Guadalupe Bennett, David A. Wilson, Robert S. Dong, Hongxin Unique Transcriptional Signatures Correlate with Behavioral and Psychological Symptom Domains in Alzheimer’s Disease |
title | Unique Transcriptional Signatures Correlate with Behavioral and
Psychological Symptom Domains in Alzheimer’s Disease |
title_full | Unique Transcriptional Signatures Correlate with Behavioral and
Psychological Symptom Domains in Alzheimer’s Disease |
title_fullStr | Unique Transcriptional Signatures Correlate with Behavioral and
Psychological Symptom Domains in Alzheimer’s Disease |
title_full_unstemmed | Unique Transcriptional Signatures Correlate with Behavioral and
Psychological Symptom Domains in Alzheimer’s Disease |
title_short | Unique Transcriptional Signatures Correlate with Behavioral and
Psychological Symptom Domains in Alzheimer’s Disease |
title_sort | unique transcriptional signatures correlate with behavioral and
psychological symptom domains in alzheimer’s disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882691/ https://www.ncbi.nlm.nih.gov/pubmed/36711772 http://dx.doi.org/10.21203/rs.3.rs-2444391/v1 |
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