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Spectrochemical differentiation in gestational diabetes mellitus based on attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy and multivariate analysis
Gestational diabetes mellitus (GDM) is a hyperglycaemic imbalance first recognized during pregnancy, and affects up to 22% of pregnancies worldwide, bringing negative maternal–fetal consequences in the short- and long-term. In order to better characterize GDM in pregnant women, 100 blood plasma samp...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648639/ https://www.ncbi.nlm.nih.gov/pubmed/33159100 http://dx.doi.org/10.1038/s41598-020-75539-y |
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author | Bernardes-Oliveira, Emanuelly de Freitas, Daniel Lucas Dantas de Morais, Camilo de Lelis Medeiros Cornetta, Maria da Conceição de Mesquita Camargo, Juliana Dantas de Araújo Santos de Lima, Kassio Michell Gomes Crispim, Janaina Cristiana de Oliveira |
author_facet | Bernardes-Oliveira, Emanuelly de Freitas, Daniel Lucas Dantas de Morais, Camilo de Lelis Medeiros Cornetta, Maria da Conceição de Mesquita Camargo, Juliana Dantas de Araújo Santos de Lima, Kassio Michell Gomes Crispim, Janaina Cristiana de Oliveira |
author_sort | Bernardes-Oliveira, Emanuelly |
collection | PubMed |
description | Gestational diabetes mellitus (GDM) is a hyperglycaemic imbalance first recognized during pregnancy, and affects up to 22% of pregnancies worldwide, bringing negative maternal–fetal consequences in the short- and long-term. In order to better characterize GDM in pregnant women, 100 blood plasma samples (50 GDM and 50 healthy pregnant control group) were submitted Attenuated Total Reflection Fourier-transform infrared (ATR-FTIR) spectroscopy, using chemometric approaches, including feature selection algorithms associated with discriminant analysis, such as Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA) and Support Vector Machines (SVM), analyzed in the biofingerprint region between 1800 and 900 cm(−1) followed by Savitzky–Golay smoothing, baseline correction and normalization to Amide-I band (~ 1650 cm(−1)). An initial exploratory analysis of the data by Principal Component Analysis (PCA) showed a separation tendency between the two groups, which were then classified by supervised algorithms. Overall, the results obtained by Genetic Algorithm Linear Discriminant Analysis (GA-LDA) were the most satisfactory, with an accuracy, sensitivity and specificity of 100%. The spectral features responsible for group differentiation were attributed mainly to the lipid/protein regions (1462–1747 cm(−1)). These findings demonstrate, for the first time, the potential of ATR-FTIR spectroscopy combined with multivariate analysis as a screening tool for fast and low-cost GDM detection. |
format | Online Article Text |
id | pubmed-7648639 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76486392020-11-12 Spectrochemical differentiation in gestational diabetes mellitus based on attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy and multivariate analysis Bernardes-Oliveira, Emanuelly de Freitas, Daniel Lucas Dantas de Morais, Camilo de Lelis Medeiros Cornetta, Maria da Conceição de Mesquita Camargo, Juliana Dantas de Araújo Santos de Lima, Kassio Michell Gomes Crispim, Janaina Cristiana de Oliveira Sci Rep Article Gestational diabetes mellitus (GDM) is a hyperglycaemic imbalance first recognized during pregnancy, and affects up to 22% of pregnancies worldwide, bringing negative maternal–fetal consequences in the short- and long-term. In order to better characterize GDM in pregnant women, 100 blood plasma samples (50 GDM and 50 healthy pregnant control group) were submitted Attenuated Total Reflection Fourier-transform infrared (ATR-FTIR) spectroscopy, using chemometric approaches, including feature selection algorithms associated with discriminant analysis, such as Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA) and Support Vector Machines (SVM), analyzed in the biofingerprint region between 1800 and 900 cm(−1) followed by Savitzky–Golay smoothing, baseline correction and normalization to Amide-I band (~ 1650 cm(−1)). An initial exploratory analysis of the data by Principal Component Analysis (PCA) showed a separation tendency between the two groups, which were then classified by supervised algorithms. Overall, the results obtained by Genetic Algorithm Linear Discriminant Analysis (GA-LDA) were the most satisfactory, with an accuracy, sensitivity and specificity of 100%. The spectral features responsible for group differentiation were attributed mainly to the lipid/protein regions (1462–1747 cm(−1)). These findings demonstrate, for the first time, the potential of ATR-FTIR spectroscopy combined with multivariate analysis as a screening tool for fast and low-cost GDM detection. Nature Publishing Group UK 2020-11-06 /pmc/articles/PMC7648639/ /pubmed/33159100 http://dx.doi.org/10.1038/s41598-020-75539-y Text en © The Author(s) 2020 Open Access This 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/. |
spellingShingle | Article Bernardes-Oliveira, Emanuelly de Freitas, Daniel Lucas Dantas de Morais, Camilo de Lelis Medeiros Cornetta, Maria da Conceição de Mesquita Camargo, Juliana Dantas de Araújo Santos de Lima, Kassio Michell Gomes Crispim, Janaina Cristiana de Oliveira Spectrochemical differentiation in gestational diabetes mellitus based on attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy and multivariate analysis |
title | Spectrochemical differentiation in gestational diabetes mellitus based on attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy and multivariate analysis |
title_full | Spectrochemical differentiation in gestational diabetes mellitus based on attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy and multivariate analysis |
title_fullStr | Spectrochemical differentiation in gestational diabetes mellitus based on attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy and multivariate analysis |
title_full_unstemmed | Spectrochemical differentiation in gestational diabetes mellitus based on attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy and multivariate analysis |
title_short | Spectrochemical differentiation in gestational diabetes mellitus based on attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy and multivariate analysis |
title_sort | spectrochemical differentiation in gestational diabetes mellitus based on attenuated total reflection fourier-transform infrared (atr-ftir) spectroscopy and multivariate analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648639/ https://www.ncbi.nlm.nih.gov/pubmed/33159100 http://dx.doi.org/10.1038/s41598-020-75539-y |
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