VISAGE age tool from semen
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB43859 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR5853750_1.fastq.gz | Fastqsanger.gz | |||
| ERR5853750_2.fastq.gz | Fastqsanger.gz | |||
| ERR5853760_1.fastq.gz | Fastqsanger.gz | |||
| ERR5853760_2.fastq.gz | Fastqsanger.gz | |||
| ERR5853770_1.fastq.gz | Fastqsanger.gz |
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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>
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Project description:We looked for the presence of prostatic cells and RNAs (cellular and acellular) of prostatic origin in the ejaculate semen from fertile and sterilized men and from men with prostate cancer, to ascertain the suitability of ejaculate semen for studying and monitoring prostate health. Methods. For prostatic cells, semen from fertile and sterile men and men with prostate cancer were subjected to density gradient centrifugation on a 60% cushion of Suprasperm™ and fractions containing somatic cells were washed and cytospun onto coated slides prior to fixation and immunocytochemistry with antibodies recognizing prostatic markers. Small RNAs were isolated from liquefied semen clarified of all cellular and other insoluble material by high-speed ultra-centrifugation. Sequencing libraries were prepared from fractions isolated by PAGE, corresponding to small non-coding (snc) RNAs in the 18-23 nt and 30-35 nt size ranges. Libraries were interrogated by next generation sequencing and analysed to generate lists of differentially expressed RNAs associated with cancer and sterility. Results. Cells positive for cytokeratin 18, PSMA, NKX3.1 and CD24 were observed in most ejaculate samples by indirect immunocytochemistry as either discrete cellular entities or within clumps of cell containing material (DAPI+; antigen positive and negative) and cytoplasmic fragments (DAP–; antigen positive and negative). RNA from populations of cells enriched by differential density gradient centrifugation supported their immunocytochemical designation as prostatic cells. Small RNAs (18 - 43 nt) from seminal plasma were highly heterogeneous although tRNAs and 5SRNAs were the dominant forms. A degree of overlap between the respective differential expression profiles of small RNAs from sterile and cancer samples, suggested a common feature, perhaps indicating an inflammatory response. Conclusion. This study supports a wider appraisal of ejaculate semen for studying and monitoring prostate health.
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