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Alzheimer's Disease Blood Biomarkers Associated With Neuroinflammation as Therapeutic Targets for Early Personalized Intervention
The definitive diagnosis of Alzheimer's Disease (AD) without the need for neuropathological confirmation remains a challenge in AD research today, despite efforts to uncover the molecular and biological underpinnings of the disease process. Furthermore, the potential for therapeutic interventio...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309434/ https://www.ncbi.nlm.nih.gov/pubmed/35899035 http://dx.doi.org/10.3389/fdgth.2022.875895 |
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author | Oh, Sher Li Zhou, Meikun Chin, Eunice W. M. Amarnath, Gautami Cheah, Chee Hoe Ng, Kok Pin Kandiah, Nagaendran Goh, Eyleen L. K. Chiam, Keng-Hwee |
author_facet | Oh, Sher Li Zhou, Meikun Chin, Eunice W. M. Amarnath, Gautami Cheah, Chee Hoe Ng, Kok Pin Kandiah, Nagaendran Goh, Eyleen L. K. Chiam, Keng-Hwee |
author_sort | Oh, Sher Li |
collection | PubMed |
description | The definitive diagnosis of Alzheimer's Disease (AD) without the need for neuropathological confirmation remains a challenge in AD research today, despite efforts to uncover the molecular and biological underpinnings of the disease process. Furthermore, the potential for therapeutic intervention is limited upon the onset of symptoms, providing motivation for studying and treating the AD precursor mild cognitive impairment (MCI), the prodromal stage of AD instead. Applying machine learning classification to transcriptomic data of MCI, AD, and cognitively normal (CN) control patients, we identified differentially expressed genes that serve as biomarkers for the characterization and classification of subjects into MCI or AD groups. Predictive models employing these biomarker genes exhibited good classification performances for CN, MCI, and AD, significantly above random chance. The PI3K-Akt, IL-17, JAK-STAT, TNF, and Ras signaling pathways were also enriched in these biomarker genes, indicating their diagnostic potential and pathophysiological roles in MCI and AD. These findings could aid in the recognition of MCI and AD risk in clinical settings, allow for the tracking of disease progression over time in individuals as part of a therapeutic approach, and provide possible personalized drug targets for early intervention of MCI and AD. |
format | Online Article Text |
id | pubmed-9309434 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93094342022-07-26 Alzheimer's Disease Blood Biomarkers Associated With Neuroinflammation as Therapeutic Targets for Early Personalized Intervention Oh, Sher Li Zhou, Meikun Chin, Eunice W. M. Amarnath, Gautami Cheah, Chee Hoe Ng, Kok Pin Kandiah, Nagaendran Goh, Eyleen L. K. Chiam, Keng-Hwee Front Digit Health Digital Health The definitive diagnosis of Alzheimer's Disease (AD) without the need for neuropathological confirmation remains a challenge in AD research today, despite efforts to uncover the molecular and biological underpinnings of the disease process. Furthermore, the potential for therapeutic intervention is limited upon the onset of symptoms, providing motivation for studying and treating the AD precursor mild cognitive impairment (MCI), the prodromal stage of AD instead. Applying machine learning classification to transcriptomic data of MCI, AD, and cognitively normal (CN) control patients, we identified differentially expressed genes that serve as biomarkers for the characterization and classification of subjects into MCI or AD groups. Predictive models employing these biomarker genes exhibited good classification performances for CN, MCI, and AD, significantly above random chance. The PI3K-Akt, IL-17, JAK-STAT, TNF, and Ras signaling pathways were also enriched in these biomarker genes, indicating their diagnostic potential and pathophysiological roles in MCI and AD. These findings could aid in the recognition of MCI and AD risk in clinical settings, allow for the tracking of disease progression over time in individuals as part of a therapeutic approach, and provide possible personalized drug targets for early intervention of MCI and AD. Frontiers Media S.A. 2022-07-11 /pmc/articles/PMC9309434/ /pubmed/35899035 http://dx.doi.org/10.3389/fdgth.2022.875895 Text en Copyright © 2022 Oh, Zhou, Chin, Amarnath, Cheah, Ng, Kandiah, Goh and Chiam. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Digital Health Oh, Sher Li Zhou, Meikun Chin, Eunice W. M. Amarnath, Gautami Cheah, Chee Hoe Ng, Kok Pin Kandiah, Nagaendran Goh, Eyleen L. K. Chiam, Keng-Hwee Alzheimer's Disease Blood Biomarkers Associated With Neuroinflammation as Therapeutic Targets for Early Personalized Intervention |
title | Alzheimer's Disease Blood Biomarkers Associated With Neuroinflammation as Therapeutic Targets for Early Personalized Intervention |
title_full | Alzheimer's Disease Blood Biomarkers Associated With Neuroinflammation as Therapeutic Targets for Early Personalized Intervention |
title_fullStr | Alzheimer's Disease Blood Biomarkers Associated With Neuroinflammation as Therapeutic Targets for Early Personalized Intervention |
title_full_unstemmed | Alzheimer's Disease Blood Biomarkers Associated With Neuroinflammation as Therapeutic Targets for Early Personalized Intervention |
title_short | Alzheimer's Disease Blood Biomarkers Associated With Neuroinflammation as Therapeutic Targets for Early Personalized Intervention |
title_sort | alzheimer's disease blood biomarkers associated with neuroinflammation as therapeutic targets for early personalized intervention |
topic | Digital Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309434/ https://www.ncbi.nlm.nih.gov/pubmed/35899035 http://dx.doi.org/10.3389/fdgth.2022.875895 |
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