Menstrual blood contains immune cells with inflammatory and anti-inflammatory properties.

AIM: Successful pregnancy requires balanced regulation of immune cells at the feto-maternal interface. Systemic monitoring of the immune system cannot precisely outline local immune status in the uterus. In this survey, endometrial immune milieu was investigated using a non-invasive method of analysis of menstrual blood (MB). The results were compared with peripheral blood (PB). METHOD: PB and MB of healthy fertile women (n = 15) were collected simultaneously on the second day of their menstrual cycle. T and natural killer T cell subpopulations were immunophenotyped by flow cytometry. RESULTS: Among examined cell populations, the frequency of CD4 + Foxp3+, CD4 + Foxp3 + CD25-, CD4 + Foxp3 + CD25+ and IL17+ T cells (P = 0.022, 0.028, 0.017 and 0.005, respectively) and TCRαß+, CD45RO+, CD16-, IFNγ + and IL17+ NKT (CD56 + CD3+) cells (P = 0.010, 0.037, 0.038, 0.015 and 0.021, respectively) were significantly higher in MB compared with PB. Conversely, PB contained a higher percentage of CD16+ T cells (P = 0.025) in comparison with MB. CONCLUSION: MB contains cells of an inflammatory and anti-inflammatory nature, implying the existence of finely tuned cell homeostasis during menstruation. Our results imply that MB could be viewed as an easy-to access specimen for monitoring endometrial immune cells, especially those that have preferential endometrial localization.

Exploring the human seminal plasma proteome: an unexplored gold mine of biomarker for male infertility and male reproduction disorder.

BACKGROUND: The human seminal fluid is a complex body fluid. It is not known how many proteins are expressed in the seminal plasma; however in analog with the blood it is possible up to 10,000 proteins are expressed in the seminal plasma. The human seminal fluid is a rich source of potential biomarkers for male infertility and reproduction disorder. METHODS: In this review, the ongoing list of proteins identified from the human seminal fluid was collected. To date, 4188 redundant proteins of the seminal fluid are identified using different proteomics technology, including 2-DE, SDS-PAGE-LC-MS/MS, MudPIT. However, this was reduced to a database of 2168 non-redundant protein using UniProtKB/Swiss-Prot reviewed database. RESULTS: The core concept of proteome were analyzed including pI, MW, Amino Acids, Chromosome and PTM distribution in the human seminal plasma proteome. Additionally, the biological process, molecular function and KEGG pathway were investigated using DAVID software. Finally, the biomarker identified in different male reproductive system disorder was investigated using proteomics platforms so far. CONCLUSION: In this study, an attempt was made to update the human seminal plasma proteome database. Our finding showed that human seminal plasma studies used to date seem to have converged on a set of proteins that are repeatedly identified in many studies and that represent only a small fraction of the entire human seminal plasma proteome.

Quantification of sperm specific mRNA transcripts (PRM1, PRM2, and TNP2) in teratozoospermia and normozoospermia: New correlations between mRNA content and morphology of sperm.

Sperm mRNAs could be used as a predictor of fertilization capacity since the transcriptional profile of a gamete is critical for the production of viable human sperm. The aim of this study was to determine if PRM1, PRM2, and TNP2 transcripts in spermatozoa from normozoospermic and teratozoospermic men correlate with sperm morphology and/or assisted-reproduction outcomes. Human ejaculates were collected from 138 men referred to an infertility clinic, and were separated in two groups, teratozoospermic (n =72) and normozoospermic (n =66), based on World Health Organization criteria (2010). Chromomycin A3 and analine blue staining were used to evaluate protamination and chromatin integrity, respectively. Quantitative reverse-transcriptase PCR was performed for PRM1, PRM2, and TNP2. This analysis revealed significantly higher PRM1 and PRM2 mRNA copy numbers in normozoospermic versus teratozoospermic samples (P < 0.001). In contrast, TNP2 transcript abundance was significantly higher in teratozoospermic versus normozoospermic samples (P < 0.001) and positively correlated with sperm-head defects (P < 0.05). Sperm-tail defects negatively correlated (P < 0.05) with both PRM1 and PRM2 transcripts in normozoospermic samples. No significant differences were observed between the two groups when comparing transcript levels to the outcome of intracytoplasmic sperm injection cycles (P > 0.05), and a normal PRM1/PRM2 mRNA ratio (∼1) was observed in more than 70% of successful cycles. Thus, the quantity of PRM1, PRM2, and TNP2 transcripts and the PRM1/PRM2 mRNA ratio affect spermiogenesis, sperm morphology, and the function of mature human sperm. These mRNAs could therefore be used as biomarkers for the diagnosis of male infertility.

Metabolomics fingerprinting of the human seminal plasma of asthenozoospermic patients.

It is estimated that 20% of couples are infertile, and half of these infertility cases are linked to men. One of conditions that can affect male fertility is asthenozoospermia. We applied Raman spectroscopy to the analysis of the metabolome of the human seminal plasma, and used chemometrics on the patterns of Raman spectra obtained. Significant changes were observed in the metabolome of the human seminal plasma of asthenozoospermic patients.