Tissue Specific Age Acceleration in the Sperm of Oligozoospermic Men
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE213366 | GEO | 2023/09/08
REPOSITORIES: GEO
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Project description:Analysis of ejaculated spermatozoav from normozoospermic men and asthenozoospermic men. Some of genes were up-regulated or down-regulated in asthenozoospermia, and their abnormal expression were the causes of the impaired sperm motility. Results provide insight into the mechanisms by which asthenozoospermia is controlled. We used microarrays to detail the global programme of gene expression of ejaculated spermatozoa between normozoospermic and asthenozoospermic men and identified distinct classes of genes expressed differentially in two groups. The liquefied semen samples from normozoospermic and asthenozoospermic men were purified by Percoll on a discontinuous density gradients for RNA extraction and hybridization on Affymetrix microarrays. 30 sperm samples of each group were pooled to abtain enough total RNA.
2010-07-29 | E-GEOD-22331 | biostudies-arrayexpress
Project description:The aim of this study was to achieve a higher resolution of the human sperm proteome for better understanding of the molecular causes of male infertility. For this purpose, we examined the proteomic profiles of sperm from 76 men for proteins with deregulated abundances. Infertile men had abnormal semen parameters and were involuntarily childless. Men in the cohort with normal fertility had normozoospermia and had fathered children without medical assistance. Mass spectrometry analysis led to an in-depth reconstruction of the human sperm proteome. The corresponding genes were mainly involved in cellular motility, response to stimuli, adhesion, and reproduction. We also observed increasing numbers of at least three-fold differentially abundant sperm proteins from oligozoospermia and oligoasthenozoospermia to oligoasthenoteratozoospermia, compared with normozoospermia. Primarily, flagellar assembly and sperm motility, sperm-egg interaction, and male gametogenesis were affected. This suggests that sperm of infertile men carry signatures of impaired sperm production and are functionally impaired. Not least, we present new male infertility markers in addition to established ones.
2023-04-11 | PXD037531 | Pride
Project description:To determine the involvement of Copy Number Variants (CNVs) in the origin of male infertility, patients with idiopathic severe oligozoospermia, Sertoli-cell-only syndrome and controls with normozoospermia were analysed by array CGH using the 244A/400K array sets (Agilent Technologies). Comparison of 89 infertile male patients with severe oligozoospermia (≤5 x Mill./ml sperm concentration and ≤10 Mill. total sperm count) and 37 with azoospermia due to complete, bilateral Sertoli-cell-only syndrome (SCOS) with 100 healthy controls with normal semen parameters (≥20 Mill./ml sperm concentration, ≥40 Mill. total sperm count, ≥2 ml semen volume, ≥50% of a+b or ≥25% a motility, high percentage of normal forms (≥10%)). Patients with recurring, patient-specific and mostly private, sex-chromosomal CNVs (29 with OAT and 17 with SCOS) are reported as possibly causing spermatogenic failure.
2011-03-17 | E-GEOD-27965 | biostudies-arrayexpress
Project description:<h4><strong>BACKGROUND: </strong>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.</h4><h4><strong>OBJECTIVES: </strong>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.</h4><p><strong>MATERIALS AND METHODS: </strong>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.</p><p><strong>RESULTS:</strong> 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.</p><p><strong>DISCUSSION AND CONCLUSION:</strong> 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.</p>
2024-01-16 | MTBLS5289 | MetaboLights
Project description:Analysis of ejaculated spermatozoav from normozoospermic men and asthenozoospermic men. Some of genes were up-regulated or down-regulated in asthenozoospermia, and their abnormal expression were the causes of the impaired sperm motility. Results provide insight into the mechanisms by which asthenozoospermia is controlled. We used microarrays to detail the global programme of gene expression of ejaculated spermatozoa between normozoospermic and asthenozoospermic men and identified distinct classes of genes expressed differentially in two groups.
2010-06-25 | GSE22331 | GEO
Project description:While obesity has links to poor semen parameters and reduced fertility, the causative links between obesity and male infertility are unclear, particularly on a molecular level. We investigated how obesity impacts the human sperm proteome, to further understand any implications for fertility. Sperm protein lysates from 5 healthy weight (BMI < 25) or obese (BMI>30) men were FASP digested, analysed by LC-MS/MS and quantitatively compared by label free quantification. Findings were confirmed for representative proteins by immunofluorescence staining. 2034 proteins were confidently identified, with 24 significantly less abundant (fold change <0.5) and 3 significantly more abundant (fold change >1.5)in sperm of obese men. These proteins were involved in a range of biological processes, including oxidative stress (GSS, NDUFS2, JAGN1, USP14, ADH5), inflammation (SUGT1, LTA4H), translation (EIF3F, EIF4A2, CSNK1G1), DNA damage repair (UBEA4) and sperm function (NAPA, RNPEP, BANF2). These results suggest that oxidative stress and inflammation are closely tied to reproductive dysfunction in obese men. These processes likely impact protein translation and folding during spermatogenesis, leading to poor sperm function and subfertility. The observation of these changes in normozoospermic men further suggests that traditional clinical semen assessment fails to detect important biological changes in spermatozoa which may compromise fertility.
2020-02-18 | PXD014849 | Pride
Project description:Data about the entire sperm DNA methylome are limited to two sperm donors whereas studies dealing with a greater number of subjects focused only on a few genes or were based on low resolution arrays. This implies that information about what we can consider as a normal sperm DNA methylome and whether it is stable among different normozoospermic individuals is still missing. The definition of the DNA methylation profile of normozoospermic men, the entity of inter-individual variability and the epigenetic characterization of quality-fractioned sperm subpopulations in the same subject (intra-individual variability) are relevant for a better understanding of pathological conditions. We addressed these questions by using the high resolution Infinium 450K methylation array and compared normal sperm DNA methylomes against somatic cells. Our study, based on the largest number of subjects (n = 8) ever considered for such a large number of CpGs (n = 487,517), provided clear evidence for i) a highly conserved DNA methylation profile among normozoospermic subjects; ii) a stable sperm DNA methylation pattern in different quality-fractioned sperm populations of the same individual. The latter finding is particularly relevant if we consider that different quality fractioned sperm subpopulations show differences in their structural features, metabolic and genomic profiles. We demonstrate, for the first time, that DNA methylation in normozoospermic men remains highly uniform regardless the quality of sperm subpopulations. In addition, our analysis provided both confirmatory and novel data concerning the sperm DNA methylome, including its peculiar features in respect to somatic and cancer cells. Our description about a highly polarized sperm DNA methylation profile, the clearly distinct genomic and functional organization of hypo- versus hypermethylated loci as well as the association of histone-enriched hypomethylated loci with embryonic development, which we now extended also to hypomethylated piRNAs-linked genes, provides solid basis for future basic and clinical research. Bisulphite converted DNA from the 26 normal sperm and 2 somatic cell samples were hybridised to the Illumina Infinium 450k Human Methylation Beadchip v1.2
2013-07-16 | E-GEOD-47627 | biostudies-arrayexpress
Project description:Data about the entire sperm DNA methylome are limited to two sperm donors whereas studies dealing with a greater number of subjects focused only on a few genes or were based on low resolution arrays. This implies that information about what we can consider as a normal sperm DNA methylome and whether it is stable among different normozoospermic individuals is still missing. The definition of the DNA methylation profile of normozoospermic men, the entity of inter-individual variability and the epigenetic characterization of quality-fractioned sperm subpopulations in the same subject (intra-individual variability) are relevant for a better understanding of pathological conditions. We addressed these questions by using the high resolution Infinium 450K methylation array and compared normal sperm DNA methylomes against somatic cells. Our study, based on the largest number of subjects (n = 8) ever considered for such a large number of CpGs (n = 487,517), provided clear evidence for i) a highly conserved DNA methylation profile among normozoospermic subjects; ii) a stable sperm DNA methylation pattern in different quality-fractioned sperm populations of the same individual. The latter finding is particularly relevant if we consider that different quality fractioned sperm subpopulations show differences in their structural features, metabolic and genomic profiles. We demonstrate, for the first time, that DNA methylation in normozoospermic men remains highly uniform regardless the quality of sperm subpopulations. In addition, our analysis provided both confirmatory and novel data concerning the sperm DNA methylome, including its peculiar features in respect to somatic and cancer cells. Our description about a highly polarized sperm DNA methylation profile, the clearly distinct genomic and functional organization of hypo- versus hypermethylated loci as well as the association of histone-enriched hypomethylated loci with embryonic development, which we now extended also to hypomethylated piRNAs-linked genes, provides solid basis for future basic and clinical research.
2013-07-16 | GSE47627 | GEO
Project description:We report quantitation of specific mRNAs in two RNA samples isolated from normozoospermic whole semen Examination of 2 different normozoospermic semen samples by RNA-seq Please note that raw data for 'GSM1273824: AY4' is incomplete.
2013-11-23 | E-GEOD-52665 | biostudies-arrayexpress
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