Mixtures of per- and polyfluoroalkyl substances (PFAS) alter sperm methylation and long-term reprogramming of offspring liver and fat transcriptome.

Male fertility has been declining worldwide especially in countries with high levels of endocrine disrupting chemicals (EDCs). Per- and polyfluorinated alkyl Substances (PFAS) have been classified as EDCs and have been linked to adverse male reproductive health. The mechanisms of these associations and their implications on offspring health remain unknown. The aims of the current study were to assess the effect of PFAS mixtures on the sperm methylome and transcriptional changes in offspring metabolic tissues (i.e., liver and fat). C57BL/6 male mice were exposed to a mixture of PFAS (PFOS, PFOA, PFNA, PFHxS, Genx; 20 µg/L each) for 18-weeks or water as a control. Genome-wide methylation was assessed on F0 epidydimal sperm using reduced representation bisulfite sequencing (RRBS) and Illumina mouse methylation array, while gene expression was assessed by bulk RNA sequencing in 8-week-old offspring derived from unexposed females. PFAS mixtures resulted in 2,861 (RRBS) and 83 (Illumina) sperm DMRs (q < 0.05). Functional enrichment revealed that PFAS-induced sperm DMRs were associated with behavior and developmental pathways in RRBS, while Illumina DMRs were related to lipid metabolism and cell signaling. Additionally, PFAS mixtures resulted in 40 and 53 differentially expressed genes (DEGs) in the liver and fat of males, and 9 and 31 DEGs in females, respectively. Functional enrichment of DEGs revealed alterations in cholesterol metabolism and mitotic cell cycle regulation in the liver and myeloid leukocyte migration in fat of male offspring, while in female offspring, erythrocyte development and carbohydrate catabolism were affected in fat. Our results demonstrate that exposure to a mixture of legacy and newly emerging PFAS chemicals in adult male mice result in aberrant sperm methylation and altered gene expression of offspring liver and fat in a sex-specific manner. These data indicate that preconception PFAS exposure in males can be transmitted to affect phenotype in the next generation.

Associations between Sperm Epigenetic Age and Semen Parameters: An Evaluation of Clinical and Non-Clinical Cohorts.

The well-documented relationship between chronological age and the sperm methylome has allowed for the construction of epigenetic clocks that estimate the biological age of sperm based on DNA methylation, which we previously termed sperm epigenetic age (SEA). Our lab demonstrated that SEA is positively associated with the time taken to achieve pregnancy; however, its relationship with semen parameters is unknown. A total of 379 men from the Longitudinal Investigation of Fertility and Environment (LIFE) study, a non-clinical cohort, and 192 men seeking fertility treatment from the Sperm Environmental Epigenetics and Development Study (SEEDS) were included in the study. Semen analyses were conducted for both cohorts, and SEA was previously generated using a machine learning algorithm and DNA methylation array data. Association analyses were conducted via multivariable linear regression models adjusting for BMI and smoking status. We found that SEA was not associated with standard semen characteristics in SEEDS and LIFE cohorts. However, SEA was significantly associated with higher sperm head length and perimeter, the presence of pyriform and tapered sperm, and lower sperm elongation factor in the LIFE study (p < 0.05). Based on our results, SEA is mostly associated with defects in sperm head morphological factors that are less commonly evaluated during male infertility assessments. SEA shows promise to be an independent biomarker of sperm quality to assess male fecundity.

Non-coding RNAs from seminal plasma extracellular vesicles and success of live birth among couples undergoing fertility treatment.

Background: Infertility remains a global health problem with male-factor infertility accounting for around 50% of cases. Understanding the molecular markers for the male contribution of live birth success has been limited. Here, we evaluated the expression levels of seminal plasma extracellular vesicle (spEV) non-coding RNAs (ncRNAs) in men of couples in relation with those with and without a successful live birth after infertility treatment. Method: Sperm-free spEV small RNA profiles were generated from 91 semen samples collected from male participants of couples undergoing assisted reproductive technology (ART) treatment. Couples were classified into two groups based on successful live birth (yes, n = 28) and (no, n = 63). Mapping of reads to human transcriptomes followed the order: miRNA > tRNA > piRNA > rRNA> "other" RNA > circRNA > lncRNA. Differential expression analysis of biotype-specific normalized read counts between groups were assessed using EdgeR (FDR<0.05). Result: We found a total of 12 differentially expressed spEV ncRNAs which included 10 circRNAs and two piRNAs between the live birth groups. Most (n = 8) of the identified circRNAs were downregulated in the no live birth group and targeted genes related to ontology terms such as negative reproductive system and head development, tissue morphogenesis, embryo development ending in birth or egg hatching, and vesicle-mediated transport. The differentially upregulated piRNAs overlapped with genomic regions including coding PID1 genes previously known to play a role in mitochondrion morphogenesis, signal transduction and cellular proliferation. Conclusion: This study identified novel ncRNAs profiles of spEVs differentiating men of couples with and without live birth and emphasizes the role of the male partner for ART success.

Urinary phthalate metabolites and small non-coding RNAs from seminal plasma extracellular vesicles among men undergoing infertility treatment.

Non-coding RNA (ncRNA) cargo of extracellular vesicles (EVs) in the male reproductive tract play critical roles in semen quality and emerging evidence suggests their susceptibility to environmental factors. Male phthalate exposures have been linked to poor semen quality, sperm DNA methylation profiles and embryo development; however, there is limited evidence on their potential impact on EV ncRNAs profiles. We evaluated the association between urinary phthalate metabolites and small ncRNAs (sncRNAs) of seminal plasma EVs (spEV) among men receiving clinical infertility care. We conducted sncRNA sequencing of EVs in 96 seminal plasma samples collected from the Sperm Environmental Epigenetics and Development Study (SEEDS). Sequencing reads were mapped to human transcriptome databases using STAR. Urinary metabolite concentrations of thirteen phthalates and two DiNCH, a phthalate alternative, were measured via tandem mass spectrometry. Associations with normalized counts were assessed using EdgeR (FDR<0.05) adjusting for urinary dilution via specific gravity, age, BMI, batch, and biotype-specific total counts. Select metabolites, MEOHP, MECPP, ∑DEHP, MCPP, MCNP, MCOP, were negatively (p < 0.05) correlated with miRNA relative abundance. Similarly, nine metabolites including MEOHP, MECPP, MEHP, MCPP, MHBP, MHiNCH, MiBP, MEHHP, MCOP and ∑DEHP were associated (q < 0.05) with normalized counts from 23 unique ncRNA transcripts (7 miRNAs (pre & mature); 6 tRFs; and 10 piRNAs), most (78%) of which displayed increased expression patterns. miRNA and tRFs gene targets were enriched in vesicle-mediated transport and developmental-related ontology terms, such as tyrosine kinase, head development, and cell morphogenesis. Six genes (MAPK1, BMPR1A/2, PTEN, TGFBR2, TP53 and APP) were present in all the ontology terms and predicted to form protein association networks. piRNAs were annotated to pseudogenes of genes important in EV cargo transfer and embryonic development. This is the first study to associate phthalate exposures to altered spEV sncRNA profiles. Future studies are needed to determine their impact on reproductive outcomes.

Effects of preconception exposure to phthalates on mouse sperm capacitation parameters.

BACKGROUND: Phthalates have been linked to adverse male reproductive health, including poor sperm quality and embryo quality as well as a longer time to pregnancy (months of unprotected intercourse before conception occurs). The present study aimed to evaluate the effect of preconception exposure to two ubiquitous phthalate chemicals, di(2-ethylhexyl) phthalate (DEHP), di-n-butyl phthalate (DBP), and their mixture on sperm function, fertilization, and embryo development in mice. MATERIALS AND METHODS: Adult male C57BL/6J mice aged 8-9 weeks were exposed to di(2-ethylhexyl) phthalate, di-n-butyl phthalate, or their mixture (di-n-butyl phthalate + di(2-ethylhexyl) phthalate) at 2.5 mg/kg/day or vehicle for 40 days (equivalent to one spermatogenic cycle) via surgically implanted osmotic pumps. Caudal epididymal spermatozoa were extracted and analyzed for motility using computer-assisted sperm analyses. Sperm phosphorylation of protein kinase A substrates and tyrosine phosphorylation, markers of early and late capacitation events, respectively, were analyzed by Western blots. In vitro fertilization was used to evaluate the sperm fertilizing capacity. RESULTS: While the study did not reveal any significant differences in sperm motility and fertilization potential, abnormal sperm morphology was observed in all phthalate exposures, particularly in the phthalate mixture group. In addition, the study revealed significant differences in sperm concentration between control and exposed groups. Moreover, protein phosphorylation of protein kinase A substrates was decreased in the di(2-ethylhexyl) phthalate and mixture exposure groups, while no significant changes in protein tyrosine phosphorylation were observed in any of the groups. Assessment of the reproductive functionality did not reveal significant effects on in vitro fertilization and early embryo development rates but showed wide variability in the phthalate mixture group. CONCLUSION: Our findings suggest that preconception phthalate exposure affects sperm numbers and phosphorylation of protein kinase A substrates involved in capacitation. Future research is warranted to examine the associations between phthalate exposure and capacitation in human spermatozoa.

Altered non-coding RNA profiles of seminal plasma extracellular vesicles of men with poor semen quality undergoing in vitro fertilization treatment.

BACKGROUND: Currently, the precise mechanisms that underline male infertility are still unclear. Accumulating data implicate non-coding RNA cargo of seminal plasma extracellular vesicles due to their association with poor semen quality and higher expression levels relative to vesicle-free seminal plasma. METHOD: We assessed sperm-free seminal plasma extracellular vesicle non-coding RNA profiles from 91 semen samples collected from male participants of couples seeking infertility treatment. Men were classified into two groups (poor, n = 32; normal, n = 59) based on World Health Organization semen cutoffs. Small RNA sequencing reads were mapped to standard biotype-specific transcriptomes in the order micro RNA > transfer RNA > piwi-interacting RNA > ribosomal RNA  > ribosomal RNA > circular RNA > long non-coding RNA using STAR. Differential expression of normalized non-coding RNA read counts between the two groups was conducted by EdgeR (Fold change ≥1.5 and (false discovery rate [FDR] < 0.05). RESULT: Small RNA sequencing identified a wide variety of seminal plasma extracellular vesicle non-coding RNA biotypes including micro RNA, ribosomal RNAs, piwi-interacting RNAs, transfer RNA, long non-coding RNAs as well as circular RNAs, and fragments associated with pseudogenes, and nonsense-mediated decay. The expression levels of 57 seminal plasma extracellular vesicle non-coding RNAs (micro RNA: 6, piwi-interacting RNA: 4, ribosomal RNA: 6, circular RNA: 34, and long non-coding RNA: 7) were altered in men with poor semen quality relative to normal semen parameters, many (60%) of which were circular RNA species. Ontology analysis of differentially expressed micro RNAs and circular RNAs showed enrichment in functional terms related to cellular communication and early development. CONCLUSION: This is the first study to generate comprehensive seminal plasma extracellular vesicle non-coding RNA profiles in a clinical setting and to determine the differences between men with normal and abnormal semen parameters. Thus, our study suggests that seminal plasma extracellular vesicle non-coding RNAs may represent novel biomarkers of male reproductive phenotypes.

Urinary phthalate metabolites and their mixtures are associated with advanced sperm epigenetic aging in a general population.

INTRODUCTION: We have recently shown that sperm epigenetic age (SEA), a surrogate measure of biological aging in sperm, is associated with couples' time-to-pregnancy (TTP). Advanced SEA was also observed among smokers, suggesting its susceptibility to environmental exposures. Therefore, we assessed the association between urinary phthalate metabolites and SEA in male partners of couples planning to conceive among the general population. METHOD: The Longitudinal Investigation of Fertility and the Environment (LIFE) Study was a prospective multi-site and general population cohort study of couples who were interested in becoming pregnant. Among male partners (n = 333), eleven urinary phthalate metabolites were measured and SEA was previously developed using Super Learner ensemble algorithm. Multivariable linear regression was used to evaluate associations of SEA with individual metabolites. Bayesian kernel machine regression (BKMR), quantile g-computation (qgcomp) and weighted quantile sum (WQS) models were used for mixture analyses. Covariates included were BMI, cotinine, race and urinary creatinine. RESULT: In the single metabolite multivariate analyses, nine (82%) phthalate metabolites displayed positive trends with SEA (range: 0.05-0.47 years). Of these metabolites, advanced SEA was significantly associated with interquartile range increases in exposure of three phthalates [MEHHP (ß = 0.23, 95% CI: 0.03, 0.43, p = 0.03), MMP (ß = 0.24, 95% CI: 0.01, 0.47, p = 0.04), and MiBP (ß = 0.47, 95% CI: 0.14, 0.81, p = 0.01)]. Additionally, in BKMR and qgcomp (p = 0.06), but not WQS models, phthalate mixtures showed an overall positive trend with SEA, with MiBP, MMP and MBzP as major drivers of the mixture effects. CONCLUSION: This is the first study that combined single exposure and mixture models to associate male phthalate exposures with advanced epigenetic aging of sperm in men planning to conceive among the general population. Our findings suggest that phthalate exposure may contribute to the acceleration of biological aging of sperm.

Aclust2.0: a revamped unsupervised R tool for Infinium methylation beadchips data analyses.

MOTIVATION: A wide range of computational packages has been developed for regional DNA methylation analyses of Illumina's Infinium array data. Aclust, one of the first unsupervised algorithms, was originally designed to analyze regional methylation of Infinium's 27K and 450K arrays by clustering neighboring methylation sites prior to downstream analyses. However, Aclust relied on outdated packages that rendered it largely non-operational especially with the newer Infinium EPIC and mouse arrays. RESULTS: We have created Aclust2.0, a streamlined pipeline that involves five steps for the analyses of human (450K and EPIC) and mouse array data. Aclust2.0 provides a user-friendly pipeline and versatile for regional DNA methylation analyses for molecular epidemiological and mouse studies. AVAILABILITY AND IMPLEMENTATION: Aclust2.0 is freely available on Github (https://github.com/OluwayioseOA/Alcust2.0.git).

Sperm epigenetic clock associates with pregnancy outcomes in the general population.

STUDY QUESTION: Is sperm epigenetic aging (SEA) associated with probability of pregnancy among couples in the general population? SUMMARY ANSWER: We observed a 17% lower cumulative probability at 12 months for couples with male partners in the older compared to the younger SEA categories. WHAT IS KNOWN ALREADY: The strong relation between chronological age and DNA methylation profiles has enabled the estimation of biological age as epigenetic 'clock' metrics in most somatic tissue. Such clocks in male germ cells are less developed and lack clinical relevance in terms of their utility to predict reproductive outcomes. STUDY DESIGN, SIZE, DURATION: This was a population-based prospective cohort study of couples discontinuing contraception to become pregnant recruited from 16 US counties from 2005 to 2009 and followed for up to 12 months. PARTICIPANTS/MATERIALS, SETTING, METHODS: Sperm DNA methylation from 379 semen samples was assessed via a beadchip array. A state-of-the-art ensemble machine learning algorithm was employed to predict age from the sperm DNA methylation data. SEA was estimated from clocks derived from individual CpGs (SEACpG) and differentially methylated regions (SEADMR). Probability of pregnancy within 1 year was compared by SEA, and discrete-time proportional hazards models were used to evaluate the relations with time-to-pregnancy (TTP) with adjustment for covariates. MAIN RESULTS AND THE ROLE OF CHANCE: Our SEACpG clock had the highest predictive performance with correlation between chronological and predicted age (r = 0.91). In adjusted discrete Cox models, SEACpG was negatively associated with TTP (fecundability odds ratios (FORs)=0.83; 95% CI: 0.76, 0.90; P = 1.2×10-5), indicating a longer TTP with advanced SEACpG. For subsequent birth outcomes, advanced SEACpG was associated with shorter gestational age (n = 192; -2.13 days; 95% CI: -3.67, -0.59; P = 0.007). Current smokers also displayed advanced SEACpG (P < 0.05). Finally, SEACpG showed a strong performance in an independent IVF cohort (n = 173; r = 0.83). SEADMR performance was comparable to SEACpG but with attenuated effect sizes. LIMITATIONS, REASONS FOR CAUTION: This prospective cohort study consisted primarily of Caucasian men and women, and thus analysis of large diverse cohorts is necessary to confirm the associations between SEA and couple pregnancy success in other races/ethnicities. WIDER IMPLICATIONS OF THE FINDINGS: These data suggest that our sperm epigenetic clocks may have utility as a novel biomarker to predict TTP among couples in the general population and underscore the importance of the male partner for reproductive success. STUDY FUNDING/COMPETING INTEREST(S): This work was funded in part by grants the National Institute of Environmental Health Sciences, National Institutes of Health (R01 ES028298; PI: J.R.P. and P30 ES020957); Robert J. Sokol, MD Endowed Chair of Molecular Obstetrics and Gynecology (J.R.P.); and the Intramural Research Program of the Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland (Contracts N01-HD-3-3355, N01-HD-3-3356 and N01-HD-3-3358). S.L.M. was supported by the Intramural Research Program of the Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health. The authors declare no competing interests. TRIAL REGISTRATION NUMBER: N/A.

Paternal preconception phthalate exposure alters sperm methylome and embryonic programming.

Preconception environmental conditions have been demonstrated to shape sperm epigenetics and subsequently offspring health and development. Our previous findings in humans showed that urinary anti-androgenic phthalate metabolites in males were associated with altered sperm methylation and blastocyst-stage embryo development. To corroborate this, we examined the effect of preconception exposure to di(2-ethylhexyl) phthalate (DEHP) on genome-wide DNA methylation and gene expression profiles in mice. Eight-week old C57BL/6J male mice were exposed to either a vehicle control, low, or high dose of DEHP (2.5 and 25 mg/kg/weight, respectively) for 67 days (~2 spermatogenic cycles) and were subsequently mated with unexposed females. Reduced representation bisulfite sequencing (RRBS) of epididymal sperm was performed and gastrulation stage embryos were collected for RRBS and transcriptome analyses in both embryonic and extra-embryonic lineages. Male preconception DEHP exposure resulted in 704 differentially methylated regions (DMRs; q-value < 0.05; ≥10% methylation change) in sperm, 1,716 DMRs in embryonic, and 3,181 DMRs in extra-embryonic tissue. Of these, 29 DMRs overlapped between sperm and F1 tissues, half of which showed concordant methylation changes between F0 and F1 generations. F1 transcriptomes at E7.5 were also altered by male preconception DEHP exposure including developmental gene families such as Hox, Gata, and Sox. Additionally, gene ontology analyses of DMRs and differentially expressed genes showed enrichment of multiple developmental processes including embryonic development, pattern specification and morphogenesis. These data indicate that spermatogenesis in adult may represent a sensitive window in which exposure to DEHP alters the sperm methylome as well as DNA methylation and gene expression in the developing embryo.

Sperm DNA methylation mediates the association of male age on reproductive outcomes among couples undergoing infertility treatment.

Parental age at time of offspring conception is increasing in developed countries. Advanced male age is associated with decreased reproductive success and increased risk of adverse neurodevelopmental outcomes in offspring. Mechanisms for these male age effects remain unclear, but changes in sperm DNA methylation over time is one potential explanation. We assessed genome-wide methylation of sperm DNA from 47 semen samples collected from male participants of couples seeking infertility treatment. We report that higher male age was associated with lower likelihood of fertilization and live birth, and poor embryo development (p < 0.05). Furthermore, our multivariable linear models showed male age was associated with alterations in sperm methylation at 1698 CpGs and 1146 regions (q < 0.05), which were associated with > 750 genes enriched in embryonic development, behavior and neurodevelopment among others. High dimensional mediation analyses identified four genes (DEFB126, TPI1P3, PLCH2 and DLGAP2) with age-related sperm differential methylation that accounted for 64% (95% CI 0.42-0.86%; p < 0.05) of the effect of male age on lower fertilization rate. Our findings from this modest IVF population provide evidence for sperm methylation as a mechanism of age-induced poor reproductive outcomes and identifies possible candidate genes for mediating these effects.

Association between sperm mitochondarial DNA copy number and nuclear DNA methylation.

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.

The preconception environment and sperm epigenetics.

BACKGROUND: Infertility is a common reproductive disorder, with male factor infertility accounting for approximately half of all cases. Taking a paternal perceptive, recent research has shown that sperm epigenetics, such as changes in DNA methylation, histone modification, chromatin structure, and noncoding RNA expression, can impact reproductive and offspring health. Importantly, environmental conditions during the preconception period has been demonstrated to shape sperm epigenetics. OBJECTIVES: To provide an overview on epigenetic modifications that regulate normal gene expression and epigenetic remodeling that occurs during spermatogenesis, and to discuss the epigenetic alterations that may occur to the paternal germline as a consequence of preconception environmental conditions and exposures. MATERIALS AND METHODS: We examined published literature available on databases (PubMed, Google Scholar, ScienceDirect) focusing on adult male preconception environmental exposures and sperm epigenetics in epidemiologic studies and animal models. RESULTS: The preconception period is a sensitive developmental window in which a variety of exposures such as toxicants, nutrition, drugs, stress, and exercise, affects sperm epigenetics. DISCUSSION AND CONCLUSION: Understanding the environmental legacy of the sperm epigenome during spermatogenesis will enhance our understanding of reproductive health and improve reproductive success and offspring well-being.