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Identification and validation of endogenous control miRNAs in plasma samples for normalization of qPCR data for Alzheimer’s disease

BACKGROUND: MicroRNAs (miRNAs) are noncoding RNAs that are highly relevant as disease biomarkers. Several studies that explored the role of miRNAs in Alzheimer’s disease (AD) demonstrated their usefulness in clinical identification. Nevertheless, miRNAs that may act as endogenous controls (ECs) have...

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Autores principales: Dakterzada, F., Targa, A., Benítez, I. D., Romero-ElKhayat, L., de Gonzalo-Calvo, D., Torres, G., Moncusí-Moix, A., Huerto, R., Sánchez-de-la-Torre, M., Barbé, F., Piñol-Ripoll, G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7719248/
https://www.ncbi.nlm.nih.gov/pubmed/33278902
http://dx.doi.org/10.1186/s13195-020-00735-x
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author Dakterzada, F.
Targa, A.
Benítez, I. D.
Romero-ElKhayat, L.
de Gonzalo-Calvo, D.
Torres, G.
Moncusí-Moix, A.
Huerto, R.
Sánchez-de-la-Torre, M.
Barbé, F.
Piñol-Ripoll, G.
author_facet Dakterzada, F.
Targa, A.
Benítez, I. D.
Romero-ElKhayat, L.
de Gonzalo-Calvo, D.
Torres, G.
Moncusí-Moix, A.
Huerto, R.
Sánchez-de-la-Torre, M.
Barbé, F.
Piñol-Ripoll, G.
author_sort Dakterzada, F.
collection PubMed
description BACKGROUND: MicroRNAs (miRNAs) are noncoding RNAs that are highly relevant as disease biomarkers. Several studies that explored the role of miRNAs in Alzheimer’s disease (AD) demonstrated their usefulness in clinical identification. Nevertheless, miRNAs that may act as endogenous controls (ECs) have not yet been established. The identification of ECs would contribute to the standardization of these biomarkers in AD. The objective of the study was to identify miRNAs that can be used as ECs in AD. METHODS: We evaluated 145 patients divided into two different cohorts. One was a discovery cohort of 19 women diagnosed with mild to moderate AD (Mini-Mental State Examination (MMSE) score ≥ 20) and with confirmed pathologic levels of Aβ42 in CSF. The stability assessment cohort consisted of 126 individuals: 24 subjects without AD or any kind of dementia and negative for all core CSF biomarkers of AD, 25 subjects with MCI and negative for CSF biomarkers (MCI −), 22 subjects with MCI and positive for CSF biomarkers (MCI +), and 55 subjects with AD and positive for CSF biomarkers. In the discovery cohort, a profile of 384 miRNAs was determined in the plasma by TaqMan low-density array. The best EC candidates were identified by mean-centering and concordance correlation restricted normalization methods. The stability of the EC candidates was assessed using the GeNorm, BestKeeper, and NormFinder algorithms. RESULTS: Nine miRNAs (hsa-miR-324-5p, hsa-miR-22-5p, hsa-miR-103a-2-5p, hsa-miR-362-5p, hsa-miR-425-3p, hsa-miR-423-5p, hsa-let-7i-3p, hsa-miR-532-5p, and hsa-miR-1301-3p) were identified as EC candidates in the discovery cohort. The validation results indicated that hsa-miR-103a-2-5p was the best EC, followed by hsa-miR-22-5p, hsa-miR-1301-3p, and hsa-miR-425-3p, which had similar stability values in all three algorithms. CONCLUSIONS: We identified a profile of four miRNAs as potential plasma ECs to be used for normalization of miRNA expression data in studies of subjects with cognitive impairment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-020-00735-x.
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spelling pubmed-77192482020-12-07 Identification and validation of endogenous control miRNAs in plasma samples for normalization of qPCR data for Alzheimer’s disease Dakterzada, F. Targa, A. Benítez, I. D. Romero-ElKhayat, L. de Gonzalo-Calvo, D. Torres, G. Moncusí-Moix, A. Huerto, R. Sánchez-de-la-Torre, M. Barbé, F. Piñol-Ripoll, G. Alzheimers Res Ther Research BACKGROUND: MicroRNAs (miRNAs) are noncoding RNAs that are highly relevant as disease biomarkers. Several studies that explored the role of miRNAs in Alzheimer’s disease (AD) demonstrated their usefulness in clinical identification. Nevertheless, miRNAs that may act as endogenous controls (ECs) have not yet been established. The identification of ECs would contribute to the standardization of these biomarkers in AD. The objective of the study was to identify miRNAs that can be used as ECs in AD. METHODS: We evaluated 145 patients divided into two different cohorts. One was a discovery cohort of 19 women diagnosed with mild to moderate AD (Mini-Mental State Examination (MMSE) score ≥ 20) and with confirmed pathologic levels of Aβ42 in CSF. The stability assessment cohort consisted of 126 individuals: 24 subjects without AD or any kind of dementia and negative for all core CSF biomarkers of AD, 25 subjects with MCI and negative for CSF biomarkers (MCI −), 22 subjects with MCI and positive for CSF biomarkers (MCI +), and 55 subjects with AD and positive for CSF biomarkers. In the discovery cohort, a profile of 384 miRNAs was determined in the plasma by TaqMan low-density array. The best EC candidates were identified by mean-centering and concordance correlation restricted normalization methods. The stability of the EC candidates was assessed using the GeNorm, BestKeeper, and NormFinder algorithms. RESULTS: Nine miRNAs (hsa-miR-324-5p, hsa-miR-22-5p, hsa-miR-103a-2-5p, hsa-miR-362-5p, hsa-miR-425-3p, hsa-miR-423-5p, hsa-let-7i-3p, hsa-miR-532-5p, and hsa-miR-1301-3p) were identified as EC candidates in the discovery cohort. The validation results indicated that hsa-miR-103a-2-5p was the best EC, followed by hsa-miR-22-5p, hsa-miR-1301-3p, and hsa-miR-425-3p, which had similar stability values in all three algorithms. CONCLUSIONS: We identified a profile of four miRNAs as potential plasma ECs to be used for normalization of miRNA expression data in studies of subjects with cognitive impairment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-020-00735-x. BioMed Central 2020-12-05 /pmc/articles/PMC7719248/ /pubmed/33278902 http://dx.doi.org/10.1186/s13195-020-00735-x Text en © The Author(s) 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Dakterzada, F.
Targa, A.
Benítez, I. D.
Romero-ElKhayat, L.
de Gonzalo-Calvo, D.
Torres, G.
Moncusí-Moix, A.
Huerto, R.
Sánchez-de-la-Torre, M.
Barbé, F.
Piñol-Ripoll, G.
Identification and validation of endogenous control miRNAs in plasma samples for normalization of qPCR data for Alzheimer’s disease
title Identification and validation of endogenous control miRNAs in plasma samples for normalization of qPCR data for Alzheimer’s disease
title_full Identification and validation of endogenous control miRNAs in plasma samples for normalization of qPCR data for Alzheimer’s disease
title_fullStr Identification and validation of endogenous control miRNAs in plasma samples for normalization of qPCR data for Alzheimer’s disease
title_full_unstemmed Identification and validation of endogenous control miRNAs in plasma samples for normalization of qPCR data for Alzheimer’s disease
title_short Identification and validation of endogenous control miRNAs in plasma samples for normalization of qPCR data for Alzheimer’s disease
title_sort identification and validation of endogenous control mirnas in plasma samples for normalization of qpcr data for alzheimer’s disease
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7719248/
https://www.ncbi.nlm.nih.gov/pubmed/33278902
http://dx.doi.org/10.1186/s13195-020-00735-x
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