期刊
ADVANCED SCIENCE
卷 6, 期 15, 页码 -出版社
WILEY
DOI: 10.1002/advs.201900712
关键词
DNA integrity; hyaluronic acid; machine learning; single cell; sperm morphology
资金
- Collaborative Health Research Project (CHRP) - Canadian Institute of Health Research (CIHR) [CPG 151954]
- Natural Sciences and Engineering Research Council of Canada (NSERC Canada) [CHRP 508388-17]
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 0358 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.
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