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The role of massive demographic databases in intractable illnesses: Denomics for dementia

Despite intensive research, effective treatments for many common and devastating diseases are lacking. For example, huge efforts and billions of dollars have been invested in Alzheimer's disease (AD), which affects over 50 million people worldwide. However, there is still no effective drug that...

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Autores principales: Stecker, Mark M., Peltier, Morgan R., Reiss, Allison B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AIMS Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581740/
https://www.ncbi.nlm.nih.gov/pubmed/36330282
http://dx.doi.org/10.3934/publichealth.2022043
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author Stecker, Mark M.
Peltier, Morgan R.
Reiss, Allison B.
author_facet Stecker, Mark M.
Peltier, Morgan R.
Reiss, Allison B.
author_sort Stecker, Mark M.
collection PubMed
description Despite intensive research, effective treatments for many common and devastating diseases are lacking. For example, huge efforts and billions of dollars have been invested in Alzheimer's disease (AD), which affects over 50 million people worldwide. However, there is still no effective drug that can slow or cure AD. This relates, in part, to the absence of an animal model or cellular system that incorporates all the relevant features of the disease. Therefore, large scale studies on human populations and tissues will be key to better understanding dementia and developing methods to prevent or treat it. This is especially difficult because the dementia phenotype can result from many different processes and is likely to be affected by multiple personal and environmental variables. We hypothesize that analyzing massive volumes of demographic data that are currently available and combining this with genomic, proteomic, and metabolomic profiles of AD patients and their families, new insights into pathophysiology and treatment of AD may arise. While this requires much coordination and cooperation among large institutions, the potential for advancement would be life-changing for millions of people. In many ways this represents the next step in the information revolution started by the Human Genome Project.
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spelling pubmed-95817402022-11-02 The role of massive demographic databases in intractable illnesses: Denomics for dementia Stecker, Mark M. Peltier, Morgan R. Reiss, Allison B. AIMS Public Health Perspective Despite intensive research, effective treatments for many common and devastating diseases are lacking. For example, huge efforts and billions of dollars have been invested in Alzheimer's disease (AD), which affects over 50 million people worldwide. However, there is still no effective drug that can slow or cure AD. This relates, in part, to the absence of an animal model or cellular system that incorporates all the relevant features of the disease. Therefore, large scale studies on human populations and tissues will be key to better understanding dementia and developing methods to prevent or treat it. This is especially difficult because the dementia phenotype can result from many different processes and is likely to be affected by multiple personal and environmental variables. We hypothesize that analyzing massive volumes of demographic data that are currently available and combining this with genomic, proteomic, and metabolomic profiles of AD patients and their families, new insights into pathophysiology and treatment of AD may arise. While this requires much coordination and cooperation among large institutions, the potential for advancement would be life-changing for millions of people. In many ways this represents the next step in the information revolution started by the Human Genome Project. AIMS Press 2022-08-23 /pmc/articles/PMC9581740/ /pubmed/36330282 http://dx.doi.org/10.3934/publichealth.2022043 Text en © 2022 the Author(s), licensee AIMS Press https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) )
spellingShingle Perspective
Stecker, Mark M.
Peltier, Morgan R.
Reiss, Allison B.
The role of massive demographic databases in intractable illnesses: Denomics for dementia
title The role of massive demographic databases in intractable illnesses: Denomics for dementia
title_full The role of massive demographic databases in intractable illnesses: Denomics for dementia
title_fullStr The role of massive demographic databases in intractable illnesses: Denomics for dementia
title_full_unstemmed The role of massive demographic databases in intractable illnesses: Denomics for dementia
title_short The role of massive demographic databases in intractable illnesses: Denomics for dementia
title_sort role of massive demographic databases in intractable illnesses: denomics for dementia
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581740/
https://www.ncbi.nlm.nih.gov/pubmed/36330282
http://dx.doi.org/10.3934/publichealth.2022043
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