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Confounding Factors Impacting microRNA Expression in Human Saliva: Methodological and Biological Considerations
There is growing interest in saliva microRNAs (miRNAs) as non-invasive biomarkers for human disease. Such an approach requires understanding how differences in experimental design affect miRNA expression. Variations in technical methodologies, coupled with inter-individual variability may reduce stu...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602126/ https://www.ncbi.nlm.nih.gov/pubmed/36292760 http://dx.doi.org/10.3390/genes13101874 |
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author | Sullivan, Rhea Montgomery, Austin Scipioni, Anna Jhaveri, Pooja Schmidt, Adam T. Hicks, Steven D. |
author_facet | Sullivan, Rhea Montgomery, Austin Scipioni, Anna Jhaveri, Pooja Schmidt, Adam T. Hicks, Steven D. |
author_sort | Sullivan, Rhea |
collection | PubMed |
description | There is growing interest in saliva microRNAs (miRNAs) as non-invasive biomarkers for human disease. Such an approach requires understanding how differences in experimental design affect miRNA expression. Variations in technical methodologies, coupled with inter-individual variability may reduce study reproducibility and generalizability. Another barrier facing salivary miRNA biomarker research is a lack of recognized “control miRNAs”. In one of the largest studies of human salivary miRNA to date (922 healthy individuals), we utilized 1225 saliva samples to quantify variability in miRNA expression resulting from aligner selection (Bowtie1 vs. Bowtie2), saliva collection method (expectorated vs. swabbed), RNA stabilizer (presence vs. absence), and individual biological factors (sex, age, body mass index, exercise, caloric intake). Differential expression analyses revealed that absence of RNA stabilizer introduced the greatest variability, followed by differences in methods of collection and aligner. Biological factors generally affected a smaller number of miRNAs. We also reported coefficients of variations for 643 miRNAs consistently present in saliva, highlighting several salivary miRNAs to serve as reference genes. Thus, the results of this analysis can be used by researchers to optimize parameters of salivary miRNA measurement, exclude miRNAs confounded by numerous biologic factors, and identify appropriate miRNA controls. |
format | Online Article Text |
id | pubmed-9602126 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96021262022-10-27 Confounding Factors Impacting microRNA Expression in Human Saliva: Methodological and Biological Considerations Sullivan, Rhea Montgomery, Austin Scipioni, Anna Jhaveri, Pooja Schmidt, Adam T. Hicks, Steven D. Genes (Basel) Article There is growing interest in saliva microRNAs (miRNAs) as non-invasive biomarkers for human disease. Such an approach requires understanding how differences in experimental design affect miRNA expression. Variations in technical methodologies, coupled with inter-individual variability may reduce study reproducibility and generalizability. Another barrier facing salivary miRNA biomarker research is a lack of recognized “control miRNAs”. In one of the largest studies of human salivary miRNA to date (922 healthy individuals), we utilized 1225 saliva samples to quantify variability in miRNA expression resulting from aligner selection (Bowtie1 vs. Bowtie2), saliva collection method (expectorated vs. swabbed), RNA stabilizer (presence vs. absence), and individual biological factors (sex, age, body mass index, exercise, caloric intake). Differential expression analyses revealed that absence of RNA stabilizer introduced the greatest variability, followed by differences in methods of collection and aligner. Biological factors generally affected a smaller number of miRNAs. We also reported coefficients of variations for 643 miRNAs consistently present in saliva, highlighting several salivary miRNAs to serve as reference genes. Thus, the results of this analysis can be used by researchers to optimize parameters of salivary miRNA measurement, exclude miRNAs confounded by numerous biologic factors, and identify appropriate miRNA controls. MDPI 2022-10-16 /pmc/articles/PMC9602126/ /pubmed/36292760 http://dx.doi.org/10.3390/genes13101874 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sullivan, Rhea Montgomery, Austin Scipioni, Anna Jhaveri, Pooja Schmidt, Adam T. Hicks, Steven D. Confounding Factors Impacting microRNA Expression in Human Saliva: Methodological and Biological Considerations |
title | Confounding Factors Impacting microRNA Expression in Human Saliva: Methodological and Biological Considerations |
title_full | Confounding Factors Impacting microRNA Expression in Human Saliva: Methodological and Biological Considerations |
title_fullStr | Confounding Factors Impacting microRNA Expression in Human Saliva: Methodological and Biological Considerations |
title_full_unstemmed | Confounding Factors Impacting microRNA Expression in Human Saliva: Methodological and Biological Considerations |
title_short | Confounding Factors Impacting microRNA Expression in Human Saliva: Methodological and Biological Considerations |
title_sort | confounding factors impacting microrna expression in human saliva: methodological and biological considerations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602126/ https://www.ncbi.nlm.nih.gov/pubmed/36292760 http://dx.doi.org/10.3390/genes13101874 |
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