Association between the seminal plasma proteome and sperm functional traits  Paula Intasqui, M.Sc., Mariana Camargo, M.Sc., Mariana Pereira Antoniassi, M.Sc., Agnaldo Pereira Cedenho, M.D., Ph.D., Valdemir Melechco Carvalho, Ph.D., Karina Helena Morais Cardozo, Ph.D., Daniel Suslik Zylbersztejn, M.D., Ph.D., Ricardo Pimenta Bertolla, Ph.D.  Fertility and Sterility  Volume 105, Issue 3, Pages 617-628 (March 2016) DOI: 10.1016/j.fertnstert.2015.11.005 Copyright © 2016 American Society for Reproductive Medicine Terms and Conditions

Figure 1 Venn diagrams of quantified proteins and main enriched functions in each substudy: substudy 1 (sperm mitochondrial activity, top); substudy 2 (sperm acrosome integrity, center); and substudy 3 (sperm DNA fragmentation, bottom). Proteins assigned to the control group represent those absent or underexpressed in the study group, whereas proteins exclusively or overexpressed in the study group are assigned to this group. Fertility and Sterility 2016 105, 617-628DOI: (10.1016/j.fertnstert.2015.11.005) Copyright © 2016 American Society for Reproductive Medicine Terms and Conditions

Figure 2 Multivariate statistical analyses of each substudy. At the top, the ROC curve obtained in the logistic regression analyses, demonstrating proposed biomarkers sensitivity and specificity. At bottom, tridimensional graphics demonstrating complete separation of groups using the partial least squares discriminant analysis. (A) Sperm mitochondrial activity substudy; (B) sperm acrosome integrity substudy; (C) sperm DNA fragmentation substudy. Fertility and Sterility 2016 105, 617-628DOI: (10.1016/j.fertnstert.2015.11.005) Copyright © 2016 American Society for Reproductive Medicine Terms and Conditions