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Identification and diagnostic potential of serum microRNAs as biomarkers for early detection of Alzheimer’s disease

This study aimed to investigate the differential expression of serum microRNAs in cognitive normal subjects (NC), patients with mild cognitive impairment (MCI), and patients with Alzheimer’s disease (AD), with the objective of identifying potential diagnostic biomarkers. A total of 320 clinical samp...

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Autores principales: Han, Ying-Hao, Xiang, Hong-Yi, Lee, Dong Hun, Feng, Lin, Sun, Hu-Nan, Jin, Mei-Hua, Kwon, Taeho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683584/
https://www.ncbi.nlm.nih.gov/pubmed/37916989
http://dx.doi.org/10.18632/aging.205165
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author Han, Ying-Hao
Xiang, Hong-Yi
Lee, Dong Hun
Feng, Lin
Sun, Hu-Nan
Jin, Mei-Hua
Kwon, Taeho
author_facet Han, Ying-Hao
Xiang, Hong-Yi
Lee, Dong Hun
Feng, Lin
Sun, Hu-Nan
Jin, Mei-Hua
Kwon, Taeho
author_sort Han, Ying-Hao
collection PubMed
description This study aimed to investigate the differential expression of serum microRNAs in cognitive normal subjects (NC), patients with mild cognitive impairment (MCI), and patients with Alzheimer’s disease (AD), with the objective of identifying potential diagnostic biomarkers. A total of 320 clinical samples, including 32 MCI patients, 288 AD patients, and 288 healthy controls, were collected following international standards. The expression of microRNAs in serum was analyzed using the Agilent human microRNA oligonucleotide microarray, and bioinformatics methods were employed to predict target genes and their involvement in AD-related pathways. Among the 122 microRNAs screened, five microRNAs (hsa-miR-208a-5p, hsa-miR-125b-1-3p, hsa-miR-3194-3p, hsa-miR-4652-5p, and hsa-miR-4419a) exhibited differential expression and met quality control standards. Bioinformatics analysis revealed that the target genes of these microRNAs were involved in multiple AD-related pathways, which changed with disease progression. These findings demonstrate significant differences in serum microRNA expression between NC, MCI, and AD patients. Three microRNAs were identified as potential candidates for the development of diagnostic models for MCI and AD. The results highlight the crucial role of microRNAs in the pathogenesis of AD and provide a foundation for the development of novel therapeutic strategies and personalized treatment approaches for AD. This study contributes to the understanding of AD at the molecular level and offers potential avenues for early diagnosis and intervention in AD patients.
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spelling pubmed-106835842023-11-30 Identification and diagnostic potential of serum microRNAs as biomarkers for early detection of Alzheimer’s disease Han, Ying-Hao Xiang, Hong-Yi Lee, Dong Hun Feng, Lin Sun, Hu-Nan Jin, Mei-Hua Kwon, Taeho Aging (Albany NY) Research Paper This study aimed to investigate the differential expression of serum microRNAs in cognitive normal subjects (NC), patients with mild cognitive impairment (MCI), and patients with Alzheimer’s disease (AD), with the objective of identifying potential diagnostic biomarkers. A total of 320 clinical samples, including 32 MCI patients, 288 AD patients, and 288 healthy controls, were collected following international standards. The expression of microRNAs in serum was analyzed using the Agilent human microRNA oligonucleotide microarray, and bioinformatics methods were employed to predict target genes and their involvement in AD-related pathways. Among the 122 microRNAs screened, five microRNAs (hsa-miR-208a-5p, hsa-miR-125b-1-3p, hsa-miR-3194-3p, hsa-miR-4652-5p, and hsa-miR-4419a) exhibited differential expression and met quality control standards. Bioinformatics analysis revealed that the target genes of these microRNAs were involved in multiple AD-related pathways, which changed with disease progression. These findings demonstrate significant differences in serum microRNA expression between NC, MCI, and AD patients. Three microRNAs were identified as potential candidates for the development of diagnostic models for MCI and AD. The results highlight the crucial role of microRNAs in the pathogenesis of AD and provide a foundation for the development of novel therapeutic strategies and personalized treatment approaches for AD. This study contributes to the understanding of AD at the molecular level and offers potential avenues for early diagnosis and intervention in AD patients. Impact Journals 2023-11-01 /pmc/articles/PMC10683584/ /pubmed/37916989 http://dx.doi.org/10.18632/aging.205165 Text en Copyright: © 2023 Han et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Han, Ying-Hao
Xiang, Hong-Yi
Lee, Dong Hun
Feng, Lin
Sun, Hu-Nan
Jin, Mei-Hua
Kwon, Taeho
Identification and diagnostic potential of serum microRNAs as biomarkers for early detection of Alzheimer’s disease
title Identification and diagnostic potential of serum microRNAs as biomarkers for early detection of Alzheimer’s disease
title_full Identification and diagnostic potential of serum microRNAs as biomarkers for early detection of Alzheimer’s disease
title_fullStr Identification and diagnostic potential of serum microRNAs as biomarkers for early detection of Alzheimer’s disease
title_full_unstemmed Identification and diagnostic potential of serum microRNAs as biomarkers for early detection of Alzheimer’s disease
title_short Identification and diagnostic potential of serum microRNAs as biomarkers for early detection of Alzheimer’s disease
title_sort identification and diagnostic potential of serum micrornas as biomarkers for early detection of alzheimer’s disease
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683584/
https://www.ncbi.nlm.nih.gov/pubmed/37916989
http://dx.doi.org/10.18632/aging.205165
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