Profiling signaling proteins in human spermatozoa Biomarker identification for sperm quality evaluation
This study unraveled human spermatozoa signaling pathways and correlated the activity of sperm signaling proteins with clinical data.
Joana Vieira Silva, M.Sc., Maria João Freitas, M.Sc., Bárbara Regadas Correia, B.Sc., Luís Korrodi-Gregório, Ph.D., António Patrício, M.D., Steven Pelech, Ph.D., Margarida Fardilha, Ph.D.
Volume 104, Issue 4, Pages 845-856
To determine the correlation between semen basic parameters and the expression and activity of signaling proteins.
In vitro studies with human spermatozoa.
Academic research institute.
Thirty-seven men provided semen samples for routine analysis.
Main Outcome Measure(s):
Basic semen parameters tracked included sperm DNA fragmentation (SDF), the expression levels of 75 protein kinases, and the phosphorylation/cleavage patterns of 18 signaling proteins in human spermatozoa.
The results indicated that the phosphorylated levels of several proteins (Bad, GSK-3β, HSP27, JNK/SAPK, mTOR, p38 MAPK, and p53), as well as cleavage of PARP (at D214) and Caspase-3 (at D175), were significantly correlated with motility parameters. Additionally, the percentage of morphologically normal spermatozoa demonstrated a significant positive correlation with the phosphorylated levels of p70 S6 kinase and, in turn, head defects and the teratozoospermia index (TZI) showed a significant negative correlation with the phosphorylated levels of Stat3. There was a significant positive correlation between SDF and the teratozoospermia index, as well as the presence of head defects. In contrast, SDF negatively correlated with the percentage of morphologically normal spermatozoa and the phosphorylation of Akt and p70 S6 kinase. Subjects with varicocele demonstrated a significant negative correlation between head morphological defects and the phosphorylated levels of Akt, GSK3β, p38 MAPK, and Stat1. Additionally, 34 protein kinases were identified as expressed in their total protein levels in normozoospermic samples.
This study contributed toward establishing a biomarker “fingerprint” to assess sperm quality on the basis of molecular parameters.