1H MRS was used to examine good and poor sperm populations to identify biomarker differences between them. Spectra were binned to 0.02ppm and two-way ANOVA with Bonferroni correction, Wilcoxon match rank test and ROC curve analyses were used to find bins with significant differences between good and poor sperm. All three statistical methods identified the bins at 1.24-1.32ppm which correlates with overlapping lipid and lactate peaks. Differences in these peaks may result from metabolic differences between the two sperm populations and this may give a useful insight into the pathology of sperm dysfunction.
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