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A new perspective on semen quality of aged male: The characteristics of metabolomics and proteomics

BACKGROUND: Semen quality is negatively correlated with male age and is mainly quantified by a routine semen analysis, which is descriptive and inconclusive. Sperm proteins or semen metabolites are used as the intermediate or end-products, reflecting changes in semen quality, and hold much promise a...

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Autores principales: Guo, Yi, Li, Jinli, Hao, Fengdan, Yang, Yang, Yang, Hao, Chang, Qiurong, Kong, Pengcheng, Liu, Wenqiang, Jiao, Xianting, Teng, Xiaoming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9848653/
https://www.ncbi.nlm.nih.gov/pubmed/36686470
http://dx.doi.org/10.3389/fendo.2022.1058250
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author Guo, Yi
Li, Jinli
Hao, Fengdan
Yang, Yang
Yang, Hao
Chang, Qiurong
Kong, Pengcheng
Liu, Wenqiang
Jiao, Xianting
Teng, Xiaoming
author_facet Guo, Yi
Li, Jinli
Hao, Fengdan
Yang, Yang
Yang, Hao
Chang, Qiurong
Kong, Pengcheng
Liu, Wenqiang
Jiao, Xianting
Teng, Xiaoming
author_sort Guo, Yi
collection PubMed
description BACKGROUND: Semen quality is negatively correlated with male age and is mainly quantified by a routine semen analysis, which is descriptive and inconclusive. Sperm proteins or semen metabolites are used as the intermediate or end-products, reflecting changes in semen quality, and hold much promise as a new biomarker to predict fertility in advanced-aged males. OBJECTIVES: In this study, we sought to assess whether the semen metabolome and proteome of aged males can affect semen quality and serve as biomarkers for predicting semen quality. MATERIALS AND METHODS: We retrospectively analyzed 12825 males that underwent semen routine analysis to understand the age-dependent changes in sperm quality. To identify the difference between aged and young adults, metabolomics (n=60) analyses of semen and proteomics (n=12) analyses of sperm were conducted. Finally, integrated machine learning of metabolomics was conducted to screen biomarkers to identify aging semen. RESULTS: We discovered that male age was positively correlated with sperm concentration as well as DNA fragmentation index(DFI), and negatively with progressive motile sperm count, total sperm count, sperm volume and progressive sperm motility. The differential metabolites were significantly enriched in various metabolic pathways, and four of these differential metabolites (Pipamperone, 2,2-Bis(hydroxymethyl)-2,2’,2’’-nitrilotriethanol, Arg-Pro and Triethyl phosphate) were utilized to establish a biomarker panel to identify aging semen. Proteomic analysis showed that differential proteins were significantly enriched in protein digestion and absorption and some energy-related pathways. An integrated analysis of the metabolome and proteome identified differential energy metabolism and oxidative stress-related proteins, which could explain the decreased motility and the increased DFI of aging sperm DISCUSSION AND CONCLUSION: We provide compelling evidence that the changes in semen metabolome and sperm proteome are related to the decline of semen quality in aged males. Moreover, a biomarker panel based on four metabolites was established to identify aging semen.
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spelling pubmed-98486532023-01-19 A new perspective on semen quality of aged male: The characteristics of metabolomics and proteomics Guo, Yi Li, Jinli Hao, Fengdan Yang, Yang Yang, Hao Chang, Qiurong Kong, Pengcheng Liu, Wenqiang Jiao, Xianting Teng, Xiaoming Front Endocrinol (Lausanne) Endocrinology BACKGROUND: Semen quality is negatively correlated with male age and is mainly quantified by a routine semen analysis, which is descriptive and inconclusive. Sperm proteins or semen metabolites are used as the intermediate or end-products, reflecting changes in semen quality, and hold much promise as a new biomarker to predict fertility in advanced-aged males. OBJECTIVES: In this study, we sought to assess whether the semen metabolome and proteome of aged males can affect semen quality and serve as biomarkers for predicting semen quality. MATERIALS AND METHODS: We retrospectively analyzed 12825 males that underwent semen routine analysis to understand the age-dependent changes in sperm quality. To identify the difference between aged and young adults, metabolomics (n=60) analyses of semen and proteomics (n=12) analyses of sperm were conducted. Finally, integrated machine learning of metabolomics was conducted to screen biomarkers to identify aging semen. RESULTS: We discovered that male age was positively correlated with sperm concentration as well as DNA fragmentation index(DFI), and negatively with progressive motile sperm count, total sperm count, sperm volume and progressive sperm motility. The differential metabolites were significantly enriched in various metabolic pathways, and four of these differential metabolites (Pipamperone, 2,2-Bis(hydroxymethyl)-2,2’,2’’-nitrilotriethanol, Arg-Pro and Triethyl phosphate) were utilized to establish a biomarker panel to identify aging semen. Proteomic analysis showed that differential proteins were significantly enriched in protein digestion and absorption and some energy-related pathways. An integrated analysis of the metabolome and proteome identified differential energy metabolism and oxidative stress-related proteins, which could explain the decreased motility and the increased DFI of aging sperm DISCUSSION AND CONCLUSION: We provide compelling evidence that the changes in semen metabolome and sperm proteome are related to the decline of semen quality in aged males. Moreover, a biomarker panel based on four metabolites was established to identify aging semen. Frontiers Media S.A. 2023-01-04 /pmc/articles/PMC9848653/ /pubmed/36686470 http://dx.doi.org/10.3389/fendo.2022.1058250 Text en Copyright © 2023 Guo, Li, Hao, Yang, Yang, Chang, Kong, Liu, Jiao and Teng https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Guo, Yi
Li, Jinli
Hao, Fengdan
Yang, Yang
Yang, Hao
Chang, Qiurong
Kong, Pengcheng
Liu, Wenqiang
Jiao, Xianting
Teng, Xiaoming
A new perspective on semen quality of aged male: The characteristics of metabolomics and proteomics
title A new perspective on semen quality of aged male: The characteristics of metabolomics and proteomics
title_full A new perspective on semen quality of aged male: The characteristics of metabolomics and proteomics
title_fullStr A new perspective on semen quality of aged male: The characteristics of metabolomics and proteomics
title_full_unstemmed A new perspective on semen quality of aged male: The characteristics of metabolomics and proteomics
title_short A new perspective on semen quality of aged male: The characteristics of metabolomics and proteomics
title_sort new perspective on semen quality of aged male: the characteristics of metabolomics and proteomics
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9848653/
https://www.ncbi.nlm.nih.gov/pubmed/36686470
http://dx.doi.org/10.3389/fendo.2022.1058250
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