ABSTRACT
RESEARCH QUESTION: To examine associations between sperm mitochondrial DNA copy number (mtDNAcn), sperm mitochondrial DNA deletions (mtDNAdel), semen parameters and clinical infertility in an IVF setting. DESIGN: A total of 125 sperm samples were collected from men undergoing assisted reproductive procedures in an IVF clinic in Western Massachusetts, USA. Sperm mtDNAcn and mtDNAdel were measured by probe-based quantitative polymerase chain reaction. Semen parameters, clinical diagnoses of infertility, and infertility based on consecutive semen parameters, were fitted with mtDNAcn and mtDNAdel in linear models. The utility of sperm mtDNAcn and mtDNAdel to predict infertility was assessed by receiver operating characteristic curves. RESULTS: Adjusting for relevant covariates, both sperm mtDNAcn and mtDNAdel were associated with lower sperm concentration, count, motility and morphology (P ≤ 0.03). Sperm mtDNAcn and mtDNAdel were also associated with increased risks of clinical infertility based on current and consecutive semen samples. Sperm mtDNAcn had high predictive accuracy for consecutive diagnoses of clinical infertility (C-statistic: 0.91), whereas sperm mtDNAdel had moderate predictive accuracy (C-statistic: 0.75). CONCLUSIONS: Sperm mtDNAcn is a measure of consecutive abnormal semen parameters and has promise as a diagnostic test.
Subject(s)
DNA, Mitochondrial/metabolism , Infertility, Male/metabolism , Sperm Motility/physiology , Spermatozoa/metabolism , Adult , DNA, Mitochondrial/genetics , Humans , Infertility, Male/genetics , Male , Semen Analysis , Sperm CountABSTRACT
Aim: Accumulating evidence associates sperm mitochondria DNA copy number (mtDNAcn) with male infertility and reproductive success. However, the mechanism underlying mtDNAcn variation is largely unknown. Patients & methods: Sperm mtDNAcn and genome-wide DNA methylation were assessed using triplex probe-based quantitative PCR and Illumina's 450K array, respectively. Multivariable models assessed the association between sperm mtDNAcn and DNA methylation profiles of 47 men seeking infertility treatment. Results: A priori candidate-gene approach showed sperm mtDNAcn was associated with 16 CpGs located at/near POLG and TWNK genes. Unbiased genome-wide analysis revealed that sperm mtDNAcn was associated with 218 sperm differentially methylated regions (q < 0.05), which displayed predominantly (94%) increases in methylation. Conclusion: Findings suggest that DNA methylation may play a role in regulating sperm mtDNAcn.