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Prediction of DNA Integrity from Morphological Parameters Using a Single‐Sperm DNA Fragmentation Index Assay
Intracytoplasmic sperm injection is a popular form of in vitro fertilization, where single sperm are selected by a clinician and injected into an egg. Whereas clinicians employ general morphology‐based guidelines to select the healthiest‐looking sperm, it remains unclear to what extent an individual...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685501/ https://www.ncbi.nlm.nih.gov/pubmed/31406675 http://dx.doi.org/10.1002/advs.201900712 |
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author | Wang, Yihe Riordon, Jason Kong, Tian Xu, Yi Nguyen, Brian Zhong, Junjie You, Jae Bem Lagunov, Alexander Hannam, Thomas G. Jarvi, Keith Sinton, David |
author_facet | Wang, Yihe Riordon, Jason Kong, Tian Xu, Yi Nguyen, Brian Zhong, Junjie You, Jae Bem Lagunov, Alexander Hannam, Thomas G. Jarvi, Keith Sinton, David |
author_sort | Wang, Yihe |
collection | PubMed |
description | Intracytoplasmic sperm injection is a popular form of in vitro fertilization, where single sperm are selected by a clinician and injected into an egg. Whereas clinicians employ general morphology‐based guidelines to select the healthiest‐looking sperm, it remains unclear to what extent an individual sperm's physical parameters correlate with the quality of internal DNA cargo—a measurement that cannot be obtained without first damaging the sperm. Herein, a single‐cell DNA fragmentation index (DFI) assay is demonstrated, which combines the single‐cell nature of the acridine orange test with the quantitative aspect of the sperm chromatin structure assay, to create a database of DFI‐scored brightfield images. Two regression predictive models, linear and nonlinear regression, are used to quantify the correlations between individual sperm morphological parameters and DFI score (with model test r at 0.558 and 0.620 for linear and nonlinear regression models, respectively). The sample is also split into two categories of either relatively good or bad DFIs and a classification predictive model based on logistic regression is used to categorize sperm, resulting in a test accuracy of 0.827. Here, the first systematic study is presented on the correlation and prediction of sperm DNA integrity from morphological parameters at the single‐cell level. |
format | Online Article Text |
id | pubmed-6685501 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-66855012019-08-12 Prediction of DNA Integrity from Morphological Parameters Using a Single‐Sperm DNA Fragmentation Index Assay Wang, Yihe Riordon, Jason Kong, Tian Xu, Yi Nguyen, Brian Zhong, Junjie You, Jae Bem Lagunov, Alexander Hannam, Thomas G. Jarvi, Keith Sinton, David Adv Sci (Weinh) Full Papers Intracytoplasmic sperm injection is a popular form of in vitro fertilization, where single sperm are selected by a clinician and injected into an egg. Whereas clinicians employ general morphology‐based guidelines to select the healthiest‐looking sperm, it remains unclear to what extent an individual sperm's physical parameters correlate with the quality of internal DNA cargo—a measurement that cannot be obtained without first damaging the sperm. Herein, a single‐cell DNA fragmentation index (DFI) assay is demonstrated, which combines the single‐cell nature of the acridine orange test with the quantitative aspect of the sperm chromatin structure assay, to create a database of DFI‐scored brightfield images. Two regression predictive models, linear and nonlinear regression, are used to quantify the correlations between individual sperm morphological parameters and DFI score (with model test r at 0.558 and 0.620 for linear and nonlinear regression models, respectively). The sample is also split into two categories of either relatively good or bad DFIs and a classification predictive model based on logistic regression is used to categorize sperm, resulting in a test accuracy of 0.827. Here, the first systematic study is presented on the correlation and prediction of sperm DNA integrity from morphological parameters at the single‐cell level. John Wiley and Sons Inc. 2019-05-24 /pmc/articles/PMC6685501/ /pubmed/31406675 http://dx.doi.org/10.1002/advs.201900712 Text en © 2019 The Authors. Published by WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Full Papers Wang, Yihe Riordon, Jason Kong, Tian Xu, Yi Nguyen, Brian Zhong, Junjie You, Jae Bem Lagunov, Alexander Hannam, Thomas G. Jarvi, Keith Sinton, David Prediction of DNA Integrity from Morphological Parameters Using a Single‐Sperm DNA Fragmentation Index Assay |
title | Prediction of DNA Integrity from Morphological Parameters Using a Single‐Sperm DNA Fragmentation Index Assay |
title_full | Prediction of DNA Integrity from Morphological Parameters Using a Single‐Sperm DNA Fragmentation Index Assay |
title_fullStr | Prediction of DNA Integrity from Morphological Parameters Using a Single‐Sperm DNA Fragmentation Index Assay |
title_full_unstemmed | Prediction of DNA Integrity from Morphological Parameters Using a Single‐Sperm DNA Fragmentation Index Assay |
title_short | Prediction of DNA Integrity from Morphological Parameters Using a Single‐Sperm DNA Fragmentation Index Assay |
title_sort | prediction of dna integrity from morphological parameters using a single‐sperm dna fragmentation index assay |
topic | Full Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685501/ https://www.ncbi.nlm.nih.gov/pubmed/31406675 http://dx.doi.org/10.1002/advs.201900712 |
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