Altered mitochondrial function in spermatozoa from patients with repetitive fertilization failure after ICSI revealed by proteomics.

BACKGROUND: Unexplained fertilization failure (FF), occurring in 1-3% of intracytoplasmic sperm injection (ICSI) cycles, results in both psychological and financial burden for the patients. However, the molecular causes behind FF remain largely unknown. Mass spectrometry is a powerful technique to identify and quantify proteins across samples; however, no study so far has used it to dissect the proteomic signature of spermatozoa with FF after ICSI. OBJECTIVE: To investigate whether sperm samples from patients suffering repetitive FF after ICSI display alterations in their protein content. MATERIAL AND METHODS: Seventeen infertile men were included: 5 patients presented FF in ≥3 consecutive ICSI cycles, while 12 patients had a fertilization rate >75% (controls). Individual sperm samples were subjected to 2D-LC-MS/MS. Both conventional and novel statistical approaches were used to identify differentially abundant proteins. Additionally, analysis of mitochondrial and proteasomal abundance and activity were performed, using Western blot, FACS analysis of JC-1 staining and AMC-peptide fluorometric assay. RESULTS: Four proteins presented lower abundance (FMR1NB, FAM209B, RAB2B, and PSMA1) in the FF group compared to controls, while five mitochondrial proteins presented higher abundance in FF (DLAT, ATP5H, SLC25A3, SLC25A6, and FH) (p < 0.05). The altered abundance of mitochondrial DLAT and proteasomal PSMA1 was corroborated by Western blot. Of relevance, novel stable-protein pair analysis identified 73 correlations comprising 28 proteins within controls, while different mitochondrial proteins (ie, PDHA2, PHB2, and ATP5F1D) lost >50% of these correlations in specific FF samples pointing out specific mitochondrial deregulations. DISCUSSION: This is the first proteomic analysis of spermatozoa from patients who resulted in fertilization failure after ICSI. The altered proteins, most of them related to mitochondrial function, could help to identify diagnostic/prognostic markers of fertilization failure and could further dissect the molecular paternal contribution to reach successful fertilization. CONCLUSION: Sperm samples from patients with FF after ICSI present altered abundance of different proteins, including mainly mitochondrial proteins.

Sperm proteomic changes associated with early embryo quality after ICSI.

RESEARCH QUESTION: Do alterations of human sperm protein profile affect embryo quality? DESIGN: Sperm proteins from 27 infertile couples undergoing intracytoplasmic sperm injection (ICSI) were extracted and digested. The resulting peptides were labelled using tandem mass tags, separated by two-dimensional liquid chromatography, and identified and quantified using tandem mass spectrometry. Subsequently, sperm protein and peptide abundance were statistically analysed for correlation with ICSI-derived embryo quality in the subset of idiopathic infertile couples. Detected correlations were further assessed in the subset of infertile patients with a known factor. RESULTS: The abundance of 18 individual sperm proteins was found to correlate with embryo quality after ICSI. Of note, a high percentage of poor-quality ICSI-derived embryos was associated with alterations in several components of the eight-membered chaperonin-containing T-complex, which plays an important role in the folding of many essential proteins. Additionally, the abundance of sperm proteins with known functions in embryogenesis, such as RUBVL1, also correlated with early embryo quality (r = -0.547; P = 0.028). Some of the correlations found in this study were validated using either proteomic data from infertile patients with a known factor or data from similar published studies. Analysis at the peptide level revealed the association of some correlations with specific post-translational modifications or isoforms. CONCLUSIONS: Our results support the hypothesis that the sperm proteome plays a role in early embryogenesis. Moreover, several sperm proteins have emerged as potential biomarkers that could predict the outcome of in-vitro assisted reproductive technologies, leading to the possibility of improved diagnosis of couples with idiopathic infertility.

Proteomic Changes in Human Sperm During Sequential in vitro Capacitation and Acrosome Reaction.

The male gamete is not completely mature after ejaculation and requires further events in the female genital tract to acquire fertilizing ability, including the processes of capacitation and acrosome reaction. In order to shed light on protein changes experienced by the sperm cell in preparation for fertilization, a comprehensive quantitative proteomic profiling based on isotopic peptide labeling and liquid chromatography followed by tandem mass spectrometry was performed on spermatozoa from three donors of proven fertility under three sequential conditions: purification with density gradient centrifugation, incubation with capacitation medium, and induction of acrosome reaction by exposure to the calcium ionophore A23187. After applying strict selection criteria for peptide quantification and for statistical analyses, 36 proteins with significant changes in their relative abundance within sperm protein extracts were detected. Moreover, the presence of peptide residues potentially harboring sites for post-translational modification was revealed, suggesting that protein modification may be an important mechanism in sperm maturation. In this regard, increased levels of proteins mainly involved in motility and signaling, both regulated by protein modifiers, were detected in sperm lysates following incubation with capacitation medium. In contrast, less abundant proteins in acrosome-reacted cell lysates did not contain potentially modifiable residues, suggesting the possibility that all those proteins might be relocated or released during the process. Protein-protein interaction analysis revealed a subset of proteins potentially involved in sperm maturation, including the proteins Erlin-2 (ERLIN2), Gamma-glutamyl hydrolase (GGH) and Transmembrane emp24 domain-containing protein 10 (TMED10). These results contribute to the current knowledge of the molecular basis of human fertilization. It should now be possible to further validate the potential role of the detected altered proteins as modulators of male infertility.

Stable-protein Pair Analysis as A Novel Strategy to Identify Proteomic Signatures: Application To Seminal Plasma From Infertile Patients.

Our aim was to define seminal plasma proteome signatures of infertile patients categorized according to their seminal parameters using TMT-LC-MS/MS. To that extent, quantitative proteomic data was analyzed following two complementary strategies: (1) the conventional approach based on standard statistical analyses of relative protein quantification values; and (2) a novel strategy focused on establishing stable-protein pairs. By conventional analyses, the abundance of some seminal plasma proteins was found to be positively correlated with sperm concentration. However, this correlation was not found for all the peptides within a specific protein, bringing to light the high heterogeneity existing in the seminal plasma proteome because of both the proteolytic fragments and/or the post-translational modifications. This issue was overcome by conducting the novel stable-protein pairs analysis proposed herein. A total of 182 correlations comprising 24 different proteins were identified in the normozoospermic-control population, whereas this proportion was drastically reduced in infertile patients with altered seminal parameters (18 in patients with reduced sperm motility, 0 in patients with low sperm concentration and 3 in patients with no sperm in the ejaculate). These results suggest the existence of multiple etiologies causing the same alteration in seminal parameters. Additionally, the repetition of the stable-protein pair analysis in the control group by adding the data from a single patient at a time enabled to identify alterations in the stable-protein pairs profile of individual patients with altered seminal parameters. These results suggest potential underlying pathogenic mechanisms in individual infertile patients, and might open up a window to its application in the personalized diagnostic of male infertility.