Obesity tuning human Sperm RNA Chromatin remodeler cofactors, RNA interactors, Writers and Erasers
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE134580 | GEO | 2019/08/28
REPOSITORIES: GEO
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Project description:Obesity tuning human Sperm RNA Chromatin remodeler cofactors, RNA interactors, Writers and Erasers
| PRJNA555623 | ENA
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:In the United States almost 33% of adults are considered obese (BMI > 30 kg/m2). Both animal models and to a lesser extent human studies, have associated BMI, a measure of obesity, with alterations in sperm DNA methylation and RNAs. Sperm RNAs from the Assessment of Multiple Gestations from Ovarian Stimulation trial, were isolated and sequenced. A Generalized Linear Model identified 487 BMI associated human sperm RNA elements (short exon-sized sequences). They partitioned into four patterns; a continual increase with BMI, increase once obese (BMI>30 kg/m2); a steady decrease with BMI; and decrease once overweight (BMI 25 - 30 kg/m2). Gene Ontology revealed a unique relationship between BMI and transcripts associated with chromosome organization, adipogenesis, cellular stress and obesity-related inflammation. Coregulatory networks linked by Chromatin remodeler cofactors, RNA interactors, Erasers and Writers (CREWs) were uncovered to reveal a hierarchical epigenetic response pathway.
| S-EPMC6961666 | biostudies-literature
Project description:Spermatozoa harbor a complex and environment sensitive pool of small non-coding RNAs (sncRNA)1, which influences offspring development and adult phenotypes1-7. Whether spermatozoa in the epididymis are directly susceptible to environmental cues is not fully understood8. We used two distinct paradigms of preconception acute high fat diet to dissect epididymal vs testicular contributions to the sperm sncRNA pool and offspring health. We show that epididymal spermatozoa, but not developing germ cells, are sensitive to the environment and identify mitochondrial tRNAs and their fragments (mt-tsRNA) as sperm-borne factors. In humans, mt-tsRNAs in spermatozoa correlate with BMI and paternal overweight at conception doubles offspring obesity risk and compromises metabolic health. Sperm sncRNA-seq of mice mutant for genes involved in mitochondrial function, and metabolic phenotyping of their wild-type offspring, suggest that alterations of mt-tsRNAs are downstream of mitochondrial dysfunction. Most importantly, single embryo transcriptomics of genetically hybrid two-cell embryos demonstrated sperm-to-oocyte transfer of mt-tRNAs at fertilisation and implied them in the control of early embryo transcription. Our study supports the importance of paternal health at conception for offspring metabolism, shows that mt-tRNAs are diet-induced and sperm-borne and demonstrates, for the first time in a physiological setting, father-to-offspring transfer of sperm mitochondrial RNAs at fertilization.
2024-04-03 | GSE239815 | GEO
Project description:Offspring health outcomes are often linked with epigenetic alterations triggered by maternal nutrition and intrauterine environment. Strong experimental data also link paternal preconception nutrition with pathophysiology in the offspring, but the mechanism(s) routing effects of paternal exposures remain elusive. Animal experimental models have highlighted small non-coding RNAs (sncRNAs) as potential regulators of these effects. This study characterised the baseline sncRNA landscape of human sperm and the effect of a 6 week dietary intervention on their expression profile. 5’tRFs, miRNA and piRNAs were the most abundant sncRNA subtypes identified; their expression was associated with age, BMI and sperm quality. Nutritional intervention with vitamin D and omega-3 fatty acids altered expression of 3 tRFs, 15 miRNAs and 112 piRNAs, targeting genes involved in fatty acid metabolism and transposable elements in the sperm genome.
2021-10-31 | GSE159752 | GEO
Project description:This clinical study was approved by the Ethics Committee at Hangzhou Xixi Hospital (Zhejiang province, China). A total of 11 males and 37 females were included in normal weight healthy control group (NC); 77 males and 19 females were included in BMI group. Normal weight healthy control group: BMI equals or less than 23 without acute and chronic diseases.; BMI group: BMI equals or above 25
2024-02-27 | PXD041236 | Pride
Project description:Identification of differentially proteins in the sperm proteome indifferent generations of mice subjected to Neonatal Overfeeding
2022-02-24 | PXD004542 | Pride
Project description:Sex-specific programming effects of parental obesity in pre-implantation embryonic development_small RNASeq Data of Sperm
| PRJEB33337 | ENA
Project description:Infertility is one of the most common reproductive health disorders affecting 16% of couples in the U.S. Most concerning are the new meta-analysis data showing that sperm counts among men in developed countries have declined over 50% in the past four decades. With no sign of reversing this downward trajectory, we may not only be facing a fertility crisis, but low sperm count also has wider public health implications, including increased risks in morbidity and mortality. Given this dramatic decrease in sperm quality over a short period, genetic influences are likely not attributable, but rather, environmental factors encountered over the life-course. The objective of this pilot project is to determine the feasibility of generating metabolomic data from human seminal plasma collected as part of the ongoing SEEDS cohort.
2022-11-17 | ST002368 | MetabolomicsWorkbench
Project description:BACKGROUND: In previous studies using candidate gene approaches, low sperm count (oligospermia) has been associated with altered sperm mRNA content and DNA methylation in both imprinted and non-imprinted genes. We performed a genome-wide analysis of sperm DNA methylation and mRNA content to test for associations with sperm function. METHODS AND RESULTS: Sperm DNA and mRNA were isolated from 21 men with a range of semen parameters presenting to a tertiary male reproductive health clinic. DNA methylation was measured with the Illumina Infinium array at 27,000 CpG loci. Unsupervised clustering of methylation data differentiated the 21 sperm samples by their motility values. Recursively partitioned mixture modeling (RPMM) of methylation data resulted in four distinct methylation profiles that were significantly associated with sperm motility (P=0.01). Linear models of microarray analysis (LIMMA) was performed based on motility and identified 9,189 CpG loci with significantly altered methylation (Q<0.05) in the low motility samples, with many loci located in genes associated with subfertility and epigenetic regulation. In the low motility samples, the majority of disrupted CpG loci (80%) were hypomethylated. Of the aberrantly methylated CpGs, 194 were associated with imprinted genes almost equally distributed into hypermethylated (predominantly paternally expressed) and hypomethylated (predominantly maternally expressed) groups. Sperm mRNA was measured with the Human Gene 1.0 ST Affymetrix GeneChip Array. LIMMA analysis based on motility identified 20 candidate transcripts as differentially expressed in low motility sperm, including HDAC1 (NCBI 3065), SIRT3 (NCBI 23410), and DNMT3A (NCBI 1788). Altered expression of these epigenetic regulatory genes was associated with RPMM DNA methylation class. CONCLUSIONS: Using integrative genome-wide approaches to study epigenetic and gene expression patterns in human sperm we identified CpG methylation profiles and mRNA alterations associated with low sperm motility, and that low motility sperm may have aberrant genome-wide hypomethylation due to excess HDAC1 activity. See summary above
2011-06-02 | E-GEOD-26974 | biostudies-arrayexpress