数字农科院2.0

Changes in seminal plasma microecological dynamics and the mechanistic impact of core metabolite hexadecanamide in asthenozoospermia patients

文献类型: 外文期刊

作者: Han, Baoquan;Wang, Yongyong;Ge, Wei;Wang, Junjie;Yu, Shuai;Yan, Jiamao;Hua, Lei;Zhang, Xiaoyuan;Yan, Zihui;Wang, Lu;Zhao, Jinxin;Huang, Cong;Yang, Bo;Wang, Yan;Ma, Qian;Zhao, Yong;Jiang, Hui;Zhang, Yunqi;Liang, Shaolin;Zhao, Jianjuan;Sun, Zhongyi;Shen, Wei;Gui, Yaoting

作者机构:

关键词: 16s rDNA sequencing;asthenozoospermia;hexadecanamide;multi-omics analysis;seminal plasma metabolome;seminal plasma microbiota;sperm motility

期刊名称: IMETA

ISSN: 2770-5986

年卷期: 2024 年

页码:

收录情况: SCIE(2024版)

摘要: Asthenozoospermia (AZS) is a prevalent contributor to male infertility, characterized by a substantial decline in sperm motility. In recent years, large-scale studies have explored the interplay between the male reproductive system's microecology and its implications for reproductive health. Nevertheless, the direct association between seminal microecology and male infertility pathogenesis remains inconclusive. This study used 16S rDNA sequencing and multi-omics analysis to conduct a comprehensive investigation of the seminal microbial community and metabolites in AZS patients. Patients were categorized into four distinct groups: Normal, mild AZS (AZS-I), moderate AZS (AZS-II), and severe AZS (AZS-III). Microbiome differential abundance analysis revealed significant differences in microbial composition and metabolite profiles within the seminal plasma of these groups. Subsequently, patients were classified into a control group (Normal and AZS-I) and an AZS group (AZS-II and AZS-III). Correlation and cross-reference analyses identified distinct microbial genera and metabolites. Notably, the AZS group exhibited a reduced abundance of bacterial genera such as Pseudomonas, Serratia, and Methylobacterium-Methylorubrum in seminal plasma, positively correlating with core differential metabolite (hexadecanamide). Conversely, the AZS group displayed an increased abundance of bacterial genera such as Uruburuella, Vibrio, and Pseudoalteromonas, with a negative correlation with core differential metabolite (hexadecanamide). In vitro and in vivo experiments validated that hexadecanamide significantly enhanced sperm motility. Using predictive metabolite-targeting gene analysis and single-cell transcriptome sequencing, we profiled the gene expression of candidate target genes PAOX and CA2. Protein immunoblotting techniques validated the upregulation protein levels of PAOX and CA2 in sperm samples after hexadecanamide treatment, enhancing sperm motility. In conclusion, this study uncovered a significant correlation between six microbial genera in seminal plasma and the content of the metabolite hexadecanamide, which is related to AZS. Hexadecanamide notably enhances sperm motility, suggesting its potential integration into clinical strategies for managing AZS, providing a foundational framework for diagnostic and therapeutic advancements. In the onset of asthenozoospermia (AZS), the presence of six genera of bacteria (Pseudomonas, Serratia, Methylobacterium-Methylorubrum, Uruburuella, Vibrio, and Pseudoalteromonas) in the seminal plasma potentially induces dynamic changes that ultimately diminish the synthesis of hexadecanamide. This reduction in hexadecanamide content in seminal plasma contributes to a subsequent decline in sperm motility. This reduced motility can be attributed to the downregulation of the levels of two key proteins, PAOX and CA2, within sperm cells.Highlightsimage This study substantiates the potential clinical diagnostic utility of microbial composition and specific metabolites within seminal plasma for the asthenozoospermia (AZS) identification.Divergent microbial compositions and metabolite profiles within seminal plasma are discernible across varying degrees of AZS severity.Validation via in vitro and in vivo experiments corroborates hexadecanamide as a crucial metabolite influencing sperm motility in AZS, coupled with the dysregulation of target proteins (PAOX and CA2).

分类号:

  • 相关文献

[1]Efficacy of Chlorogenic Acid in Treating Tripterygium Glycoside-Induced Asthenozoospermia in Rats and Its Possible Mechanisms. Long Chen,God’spower Bello-Onaghise,Mo Chen,Shunda Li,Yu Zhang,Haoran Wang,Qianwei Qu,Yanhua Li. 2025

[2]Alginate oligosaccharides increase boar semen quality by affecting gut microbiota and metabolites in blood and sperm. Han, Hui,Zhou, Yexun,Xiong, Bohui,Zhong, Ruqing,Jiang, Yue,Sun, Haiqing,Tan, Jiajian,Zhang, Bin,Guan, Chang,Schroyen, Martine,Chen, Liang,Zhao, Yong,Zhang, Hongfu. 2022

[3]Gut-Testis Axis: Microbiota Prime Metabolome To Increase Sperm Quality in Young Type 2 Diabetes. Yan, Xiaowei,Feng, Yanni,Hao, Yanan,Zhong, Ruqing,Jiang, Yue,Tang, Xiangfang,Lu, Dongxin,Fang, Hanhan,Agarwal, Manjree,Chen, Liang,Zhao, Yong,Zhang, Hongfu. 2022

[4]The In Vitro Evaluation of Rooster Semen Pellets Frozen with Dimethylacetamide. Shaimaa K. Hamad,Ahmed M. Elomda,Yanyan Sun,Yunlei Li,Yunhe Zong,Jilan Chen,Ahmed O. Abbas,Farid K.R. Stino,Ali Nazmi,Gamal M.K. Mehaisen. 2023

[5]Research note: Chicken seminal plasma metabolome and fertility-enhancing effects of L-carnitine supplementation in semen. Yunlei Li,Lijun Jiang,Yunhe Zong,Aixin Ni,Xintong Han,Adamu Mani Isa,Jingwei Yuan,Jilan Chen,Yanyan Sun. 2025

[6]Acetobacter bacteria are found in Zhenjiang vinegar grains. Wang, C. Y.,Zhang, J.,Wang, C. Y.,Gui, Z. Z.. 2015

[7]Molecular-based environmental risk assessment of three varieties of genetically engineered cows. Xu, Jianxiang,Zhao, Jie,Wang, Jianwu,Zhao, Yaofeng,Zhang, Lei,Li, Ning,Chu, Mingxing. 2011

[8]Thirty-one years of rice-rice-green manure rotations shape the rhizosphere microbial community and enrich beneficial bacteria. Zhang, Xiaoxia,Zhang, Ruijie,Gao, Jusheng,Wang, Xiucheng,Fan, Fenliang,Ma, Xiaotong,Zhang, Caiwen,Feng, Kai,Deng, Ye,Yin, Huaqun,Gao, Jusheng.

[9]Changes In Intestinal Microbiota Of Type 2 Diabetes In Mice In Response To Dietary Supplementation With Instant Tea Or Matcha. Zhang, Shi-kang,Huang, Mei-gui,Lv, Yang-jun,Liu, Jun,Zhang, Hai-hua,Zhu, Yue-jin,Pan, Jun-xian,Jiang, Yu-lan. 2020

[10]Differences in the Soil Bacterial Communities Under Organic Farming and Conventional Farming Modes Revealed by 16S rDNA Sequencing. Yang, Yazhen,Fang, Mingke,Wu, Meiyan,Zhang, Huaisheng,Li, Huizhen,Zhu, Jianqiang. 2021

[11]Source Tracker Modeling Based on 16S rDNA Sequencing and Analysis of Microbial Contamination Sources for Pasteurized Milk. Du, Bingyao,Meng, Lu,Wu, Haoming,Yang, Huaigu,Liu, Huimin,Zheng, Nan,Zhang, Yangdong,Zhao, Shengguo,Wang, Jiaqi. 2022

[12]Early-Life Sublethal Exposure to Thiacloprid Alters Adult Honeybee Gut Microbiota. Bin Li,Xiasang Chen,Li Ke,Pingli Dai,Yuan Ge,Yong Jun Liu. 2024

[13]Alteration in microbes changed the contents of oviposition-deterrent pheromones on the Spodoptera litura egg surface. Hu, Liming,Chen, Yirui,Wu, Qingjun,Zeng, Qiumei,Zhang, Taoli,Yu, Guohui,He, Muyang,Chen, Dasong,Su, Xiangning,Zhang, Yuping,Zhang, Zhenfei,Shen, Jianmei. 2024

[14]Genome-Wide Analysis of AP2/ERF Gene Superfamily in Ramie (Boehmeria nivea L.) Revealed Their Synergistic Roles in Regulating Abiotic Stress Resistance and Ramet Development. Xiaojun Qiu,Haohan Zhao,Aminu Shehu Abubakar,Deyi Shao,Jikang Chen,Ping Chen,Chunming Yu,Xiaofei Wang,Kunmei Chen,Aiguo Zhu. 2022

[15]Machine learning for image-based multi-omics analysis of leaf veins. Yubin Zhang,Ning Zhang,Xiujuan Chai,Tan Sun. 2023

[16]Multi-Omics Analysis Reveals the Potential Effects of Maternal Dietary Restriction on Fetal Muscle Growth and Development. Xinyue Wang,Mingyu Shang,Wenping Hu,Li Zhang. 2023

[17]Multi-omics analysis of the effects of hydroponic nutrient flow environment on lignin biosynthesis in lettuce root. Bateer Baiyin,Yue Xiang,Yang Shao,Jung Eek Son,Kotaro Tagawa,Satoshi Yamada,Mina Yamada,Qichang Yang. 2024

[18]Mining of latent feruloyl esterase resources in rumen and insight into dual-functional feruloyl esterase-xylanase from Pecoramyces ruminantium F1. Shi, Qicheng,Ma, Jing,Abdel-Hamid, Ahmed M.,Li, Yuqi,Zhong, Pei,Wang, Dongyang,Sun, Zhanying,Tu, Tao,Zhu, Weiyun,Cheng, Yanfen,Cann, Isaac. 2025

[19]Mitochondrial mechanism of florfenicol-induced nonalcoholic fatty liver disease in zebrafish using multi-omics technology. Lin Zhang,Yang Du,Yameng Li,Tiancai Wang,Yecan Pan,Xiaofeng Xue,Xiyan Mu,Jing Qiu,Yongzhong Qian. 2025

[20]Lactobacillus Supplementation Modulates Rumen Microbiota and Metabolism in Yaks Under Fattening Feeding Conditions: A Comprehensive Multi-Omics Analysis. Jianlei Jia,Pengjia Bao,Ning Li,Siyuan Kong,Min Chu,Qian Chen,Ping Yan. 2025

作者其他论文 更多>>