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Using Deep Learning Algorithm: The Study of Sperm Head Vacuoles and Its Correlation with Protamine mRNA Ratio
OBJECTIVE: It is necessary to evaluate fertility effective agents to predict assisted reproduction outcomes. This study was designed to examine sperm vacuole characteristics, and its association with sperm chromatin status and protamine-1 (PRM1) to protamine-2 (PRM2) ratio, to predict assisted pregn...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Royan Institute
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8876261/ https://www.ncbi.nlm.nih.gov/pubmed/35182059 http://dx.doi.org/10.22074/cellj.2022.7448 |
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author | Ghasemian, Fatemeh Bahadori, Mohammad Hadi Hosseini Kolkooh, Seyedeh Zahra Esmaeili, Maryam |
author_facet | Ghasemian, Fatemeh Bahadori, Mohammad Hadi Hosseini Kolkooh, Seyedeh Zahra Esmaeili, Maryam |
author_sort | Ghasemian, Fatemeh |
collection | PubMed |
description | OBJECTIVE: It is necessary to evaluate fertility effective agents to predict assisted reproduction outcomes. This study was designed to examine sperm vacuole characteristics, and its association with sperm chromatin status and protamine-1 (PRM1) to protamine-2 (PRM2) ratio, to predict assisted pregnancy outcomes. MATERIALS AND METHODS: In this experimental study, ninety eight semen samples from infertile men were classified based on Vanderzwalmen’s criteria as follows: grade I: no vacuoles; grade II: <2 small vacuoles; grade III: <1 large vacuole and grade IV: large vacuole with other abnormalities. The location, frequency and size of vacuoles were assessed using high magnification, a deep learning algorithm, and scanning electron microscopy (SEM). The chromatin integrity, condensation, viability and acrosome integrity, and protamination status were evaluated for vacuolated samples by toluidine blue (TB) staining, aniline blue, triple staining, and CMA3 staining, respectively. Also, Protamine-1 and protamine-2 genes expression was analysed by reverse transcription-quantitative polymerase chain reaction (PCR). The assisted reproduction outcomes were also followed for each cycle. RESULTS: The results show a significant correlation between the vacuole size (III and IV) and abnormal sperm chromatin condensation (P=0.03 and P=0.02, respectively), and also, protamine-deficient (P=0.04 and P=0.03, respectively). The percentage of reacting acrosomes was significantly higher in the grades III and IV spermatozoa in comparison with normal group. The vacuolated spermatozoa with grade IV showed a high protamine mRNA ratio (PRM-2 was underexpressed, P=0.01). In the IVF cycles, we observed a negative association between sperm head vacuole and fertilization rate (P=0.01). This negative association was also significantly observed in pregnancy and live birth rate in the groups with grade III and IV (P=0.04 and P=0.03, respectively). CONCLUSION: The results of our study highlight the importance sperm parameters such as sperm head vacuole characteristics, particularly those parameters with the potency of reflecting protamine-deficiency and in vitro fertilization/ intracytoplasmic sperm injection (IVF/ICSI) outcomes predicting. |
format | Online Article Text |
id | pubmed-8876261 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Royan Institute |
record_format | MEDLINE/PubMed |
spelling | pubmed-88762612022-04-22 Using Deep Learning Algorithm: The Study of Sperm Head Vacuoles and Its Correlation with Protamine mRNA Ratio Ghasemian, Fatemeh Bahadori, Mohammad Hadi Hosseini Kolkooh, Seyedeh Zahra Esmaeili, Maryam Cell J Original Article OBJECTIVE: It is necessary to evaluate fertility effective agents to predict assisted reproduction outcomes. This study was designed to examine sperm vacuole characteristics, and its association with sperm chromatin status and protamine-1 (PRM1) to protamine-2 (PRM2) ratio, to predict assisted pregnancy outcomes. MATERIALS AND METHODS: In this experimental study, ninety eight semen samples from infertile men were classified based on Vanderzwalmen’s criteria as follows: grade I: no vacuoles; grade II: <2 small vacuoles; grade III: <1 large vacuole and grade IV: large vacuole with other abnormalities. The location, frequency and size of vacuoles were assessed using high magnification, a deep learning algorithm, and scanning electron microscopy (SEM). The chromatin integrity, condensation, viability and acrosome integrity, and protamination status were evaluated for vacuolated samples by toluidine blue (TB) staining, aniline blue, triple staining, and CMA3 staining, respectively. Also, Protamine-1 and protamine-2 genes expression was analysed by reverse transcription-quantitative polymerase chain reaction (PCR). The assisted reproduction outcomes were also followed for each cycle. RESULTS: The results show a significant correlation between the vacuole size (III and IV) and abnormal sperm chromatin condensation (P=0.03 and P=0.02, respectively), and also, protamine-deficient (P=0.04 and P=0.03, respectively). The percentage of reacting acrosomes was significantly higher in the grades III and IV spermatozoa in comparison with normal group. The vacuolated spermatozoa with grade IV showed a high protamine mRNA ratio (PRM-2 was underexpressed, P=0.01). In the IVF cycles, we observed a negative association between sperm head vacuole and fertilization rate (P=0.01). This negative association was also significantly observed in pregnancy and live birth rate in the groups with grade III and IV (P=0.04 and P=0.03, respectively). CONCLUSION: The results of our study highlight the importance sperm parameters such as sperm head vacuole characteristics, particularly those parameters with the potency of reflecting protamine-deficiency and in vitro fertilization/ intracytoplasmic sperm injection (IVF/ICSI) outcomes predicting. Royan Institute 2022-01 2022-01-30 /pmc/articles/PMC8876261/ /pubmed/35182059 http://dx.doi.org/10.22074/cellj.2022.7448 Text en Any use, distribution, reproduction or abstract of this publication in any medium, with the exception of commercial purposes, is permitted provided the original work is properly cited. https://creativecommons.org/licenses/by-nc/3.0/This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial 3.0 (CC BY-NC 3.0) License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Ghasemian, Fatemeh Bahadori, Mohammad Hadi Hosseini Kolkooh, Seyedeh Zahra Esmaeili, Maryam Using Deep Learning Algorithm: The Study of Sperm Head Vacuoles and Its Correlation with Protamine mRNA Ratio |
title | Using Deep Learning Algorithm: The Study of Sperm Head Vacuoles
and Its Correlation with Protamine mRNA Ratio |
title_full | Using Deep Learning Algorithm: The Study of Sperm Head Vacuoles
and Its Correlation with Protamine mRNA Ratio |
title_fullStr | Using Deep Learning Algorithm: The Study of Sperm Head Vacuoles
and Its Correlation with Protamine mRNA Ratio |
title_full_unstemmed | Using Deep Learning Algorithm: The Study of Sperm Head Vacuoles
and Its Correlation with Protamine mRNA Ratio |
title_short | Using Deep Learning Algorithm: The Study of Sperm Head Vacuoles
and Its Correlation with Protamine mRNA Ratio |
title_sort | using deep learning algorithm: the study of sperm head vacuoles
and its correlation with protamine mrna ratio |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8876261/ https://www.ncbi.nlm.nih.gov/pubmed/35182059 http://dx.doi.org/10.22074/cellj.2022.7448 |
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