Alterations of small non-coding RNA in the spermatozoa of mice with paternal experimental autoimmune epididymo-orchitis are associated with metabolic dysfunction in offspring

BACKGROUND

Infection and inflammation of the genital tract are major potentially treatable factors contributing to male infertility. The profile of small non-coding RNA (sncRNAs) in spermatozoa can be altered by environmental exposures and inflammatory conditions.

OBJECTIVES

Experimental autoimmune epididymo-orchitis (EAEO) is a well-established model of autoimmune-induced chronic testicular and epididymal inflammation. This model investigates the effect of chronic inflammation on sperm sncRNA profiles and offspring phenotypes.

MATERIALS AND METHODS

Regarding the EAEO model, mice were immunized with testis homogenates thrice. Subsequently, flow cytometry and histological analyses were conducted on EAEO mice. Next-generation sequencing was used to profile small RNA of spermatozoa from the caput, corpus, and cauda epididymis. We performed a comprehensive integrative analysis of sperm sncRNAs and chronic epididymitis and identified their molecular signatures. The metabolic functions of the first-generation (F1) offspring were evaluated using a glucose tolerance test (GTT).

RESULTS

Body weight and metabolic function were significantly altered in F1 offspring from EAEO sperm donors. The analysis of cauda sperm sncRNA profiles revealed that the proportions of miRNAs and tsRNAs increased and decreased, respectively, after autoimmunization. Three differentially expressed miRNAs and seven differentially expressed tsRNAs were significantly correlated with F1 metabolic dysfunction. The expression patterns of miRNAs and tsRNAs in mice partially overlapped with those observed in the spermatozoa from human patients with chronic epididymitis.

DISCUSSION AND CONCLUSIONS

We revealed that autoimmune epididymo-orchitis alters sncRNA profiles in mouse spermatozoa. Offspring from mice with autoimmune orchitis develop metabolic disorders. A comprehensive analysis of human and mouse inflammation data revealed an association between alterations in the miRNA and tsRNA profiles of epididymal spermatozoa and offspring phenotypes.

Myd88 Signaling Is Involved in the Inflammatory Response in LPS-Induced Mouse Epididymitis and Bone-Marrow-Derived Dendritic Cells

Epididymitis is an epididymal inflammation that may lead to male infertility. Dendritic cells (DCs) and myeloid differentiation primary response gene 88 (Myd88) were associated with epididymitis in rodents. However, the functions of Myd88 on epididymal DCs remain unclear. This study investigated the role of Myd88 in DCs for epididymitis. The Myd88 signaling pathway, phenotypes of DC subsets, and cytokines were investigated in lipopolysaccharide (LPS)-induced epididymitis in mice. CRISPR-Cas9 was used to knockout Myd88 in bone-marrow-derived dendritic cells (BMDCs) and immortalized mouse epididymal (DC2) cell line. In the vivo experiments, levels of the proinflammatory cytokines IL-1α, IL-6, IL-17A, TNF-α, IL-1β, MCP-1, and GM-CSF, mRNA for MyD88 related genes, and the percentages of monocyte-derived DCs (Mo-DCs) were significantly elevated in mice with epididymitis. In the vitro experiments, LPS significantly promoted the apoptosis of BMDCs. In addition, the concentration of inflammatory cytokines in BMDCs and DC2s were increased in the LPS group, while decreasing after the knockout of Myd88. These findings indicate that Myd88 on DCs is involved in the inflammation of epididymitis in mice, which may be a potential target for better strategies regarding the treatment of immunological male infertility.

Expression of microRNA let-7 in cleavage embryos modulates cell fate determination and formation of mouse blastocysts†

After fertilization, the zygote undergoes cell division. Up to the 8-cell stage, the blastomeres of mouse preimplantation embryos are morphologically identical. The first cell differentiation starts in the morula leading to the formation of trophectoderm cells and inner cell mass cells of the blastocyst. The regulation of the differentiation event and the formation of blastocysts are not fully known. Lethal-7 (let-7) is a family of evolutionarily conserved microRNAs. Here, we showed that the expression of let-7a and let-7g decreased drastically from the 1-cell stage to the 2-cell stage, remained low up to the 8-cell stage and slightly increased after the morula stage of mouse embryos. The expression of let-7 in the inner cell mass was higher than that in the trophectoderm. Forced expression of let-7a in embryos at the 1-cell and 4-cell stage inhibited blastocyst formation and downregulated the expression of CDX2 but maintained that of OCT4 in the trophectoderm. Forced expression of other let-7 isoforms exhibited similar inhibitory action on blastulation. On the other hand, inhibition of let-7a at the 4-cell stage and the 8-cell stage enhanced blastocyst formation. Co-injection of green fluorescent protein (GFP) mRNA (lineage tracer) with either precursor of let-7a (pre-let-7a) or scramble control into one blastomere of 2-cell embryos showed that ~75% of the resulting blastocysts possessed GFP+ cells in their inner cell mass only. The biased development towards the inner cell mass with forced expression of let-7 was reproduced in 2-cell chimeric embryos consisting of one wildtype blastomere and one GFP mRNA-injected blastomere from another 2-cell embryo carrying a doxycycline-inducible let-7g gene. Bioinformatics analysis indicated that Tead4 was a potential target of let-7. Let-7 bound to the 3'UTR of Tead4 and let-7 forced expression downregulated the expression of Tead4 in mouse blastocysts. Co-injection of Tead4 mRNA partially nullified the modulatory roles of let-7a in the inner cell mass cell fate. In conclusion, a high level of let-7 at the 2-cell stage favored the formation of the inner cell mass, whereas a low level of let-7 at the 4-cell to 8-cell stage enhanced blastocyst formation. Tead4 mediated the action of let-7 on the inner cell mass cell-fate determination.

P-064 Application of an artificial intelligence model for morphologic prediction of fertilization-competent human spermatozoa

Study question

What is the role of artificial intelligence in selecting fertilization-competent human spermatozoa according to their morphological characteristics? 

Summary answer

The established AI model in this study can be potentially used to select semen samples with superior fertilization potential in clinical settings.

What is known already

Defective spermatozoa-zona pellucida (ZP) interaction causes subfertility and is a major cause of low IVF fertilization rates. While ICSI benefits patients with defective spermatozoa-ZP binding, a standard method to identify such patients prior to conventional IVF is lacking. The application of artificial intelligence to sperm morphology analysis has become a topic of growing interest owing to the fact that the conventional assessment is highly subjective and time-consuming. Deep-learning, a core element of artificial intelligence (AI), incorporates the convolutional neural networks (CNN) to process all the data composing a digital image through successive layers to identify the underlying pattern.

Study design, size, duration

The fertilization-competent spermatozoa were isolated according to their binding ability to the ZP. The ZP-bound and -unbound spermatozoa were collected for functional assays and to establish an AI model for morphologic prediction of sperm fertilization potential. Human spermatozoa (n = 289) were isolated from normozoospermic samples. Human oocytes (n = 562) were collected from an assisted reproduction program in Hong Kong. Sample collection has been ongoing and will continue until the end of this study in November 2021.

Participants/materials, setting, methods

Sperm-ZP binding assay was employed to collect ZP-bound and -unbound spermatozoa. The fertilization potential and genetic quality of the collected spermatozoa were evaluated by our established protocols. Diff-Quik- stained images of ZP-bound and -unbound spermatozoa were collected respectively for the establishment of an AI model. A novel algorithm for sperm image transformation and segmentation was developed to pre-process the images. CNN architecture was then applied on these pre-processed images for feature extraction and model training.

Main results and the role of chance

Our result showed that the sperm-ZP binding assay had no detrimental effect on sperm viability when compared with the raw samples and unbound-sperm subpopulations. ZP-bound spermatozoa were found with statistically higher acrosome reaction rates, improved DNA integrity, better morphology, lower protamine deficiency and higher methylation level when compared with the unbound spermatozoa. A deep-learning model was trained and validated by analyzing a total of 1,334 and 885 of ZP-bound/unbound spermatozoa to evaluate the predictive power of sperm morphology for ZP binding ability. Our newly trained AI-based model showed initial success in classifying the ZP-bound/ unbound spermatozoa according to their morphological characteristics with high accuracy of 85% and low computational complexity.

Limitations, reasons for caution

This sperm selection method requires micromanipulation and relatively long processing time to recover ZP-bound spermatozoa. In addition to limited availability, the use of human materials may result in interassay variations affecting the reproducibility of this method among laboratories.

Wider implications of the findings

In light of current findings, AI-based sperm selection method may provide high predictive values of sperm fertilization potential for clinical purposes. This method is particularly applicable to patients who had poor fertilization outcomes after conventional IVF treatments or those with high degree of defective sperm-ZP binding ability. 

Trial registration number

not applicable

P–064 Application of an artificial intelligence model for morphologic prediction of fertilization-competent human spermatozoa

Study question

What is the role of artificial intelligence in selecting fertilization-competent human spermatozoa according to their morphological characteristics? Summary answer: The established AI model in this study can be potentially used to select semen samples with superior fertilization potential in clinical settings.

What is known already

Defective spermatozoa-zona pellucida (ZP) interaction causes subfertility and is a major cause of low IVF fertilization rates. While ICSI benefits patients with defective spermatozoa-ZP binding, a standard method to identify such patients prior to conventional IVF is lacking. The application of artificial intelligence to sperm morphology analysis has become a topic of growing interest owing to the fact that the conventional assessment is highly subjective and time-consuming. Deep-learning, a core element of artificial intelligence (AI), incorporates the convolutional neural networks (CNN) to process all the data composing a digital image through successive layers to identify the underlying pattern.

Study design, size, duration

The fertilization-competent spermatozoa were isolated according to their binding ability to the ZP. The ZP-bound and -unbound spermatozoa were collected for functional assays and to establish an AI model for morphologic prediction of sperm fertilization potential. Human spermatozoa (n = 289) were isolated from normozoospermic samples. Human oocytes (n = 562) were collected from an assisted reproduction program in Hong Kong. Sample collection has been ongoing and will continue until the end of this study in November 2021.

Participants/materials, setting, methods

Sperm-ZP binding assay was employed to collect ZP-bound and -unbound spermatozoa. The fertilization potential and genetic quality of the collected spermatozoa were evaluated by our established protocols. Diff-Quik- stained images of ZP-bound and -unbound spermatozoa were collected respectively for the establishment of an AI model. A novel algorithm for sperm image transformation and segmentation was developed to pre-process the images. CNN architecture was then applied on these pre-processed images for feature extraction and model training.

Main results and the role of chance

Our result showed that the sperm-ZP binding assay had no detrimental effect on sperm viability when compared with the raw samples and unbound-sperm subpopulations. ZP-bound spermatozoa were found with statistically higher acrosome reaction rates, improved DNA integrity, better morphology, lower protamine deficiency and higher methylation level when compared with the unbound spermatozoa. A deep-learning model was trained and validated by analyzing a total of 1,334 and 885 of ZP-bound/unbound spermatozoa to evaluate the predictive power of sperm morphology for ZP binding ability. Our newly trained AI-based model showed initial success in classifying the ZP-bound/ unbound spermatozoa according to their morphological characteristics with high accuracy of 85% and low computational complexity.

Limitations, reasons for caution

This sperm selection method requires micromanipulation and relatively long processing time to recover ZP-bound spermatozoa. In addition to limited availability, the use of human materials may result in interassay variations affecting the reproducibility of this method among laboratories.

Wider implications of the findings: In light of current findings, AI-based sperm selection method may provide high predictive values of sperm fertilization potential for clinical purposes. This method is particularly applicable to patients who had poor fertilization outcomes after conventional IVF treatments or those with high degree of defective sperm-ZP binding ability.

Trial registration number

Not applicable

An in vitro study of the effect of mifepristone and ulipristal acetate on human sperm functions

Ulipristal acetate (UPA) and mifepristone are currently well-established agents for emergency contraception. Both drugs are selective progestogen receptor modulators which have been shown to have better efficacy than the widely used levonorgestrel in prevention of pregnancy. However, there is only limited information on the action of UPA on sperm function. The present study compared the in vitro biological effects of mifepristone and UPA on human sperm functions. Spermatozoa from semen samples with normal semen parameters were isolated. Capacitated spermatozoa were pre-incubated with 0.04, 0.4, 4 and 40 μM mifepristone or UPA for 1 h. Sperm motility, viability, DNA integrity, capacitation, spontaneous acrosome reaction, spontaneous hyperactivation, zona pellucida (ZP) binding capability and intracellular calcium concentration ([Ca(2+)]i) were determined. The effects of mifepristone and UPA on progesterone-induced acrosome reaction, hyperactivation and [Ca(2+)]i were also studied. Our results showed that mifepristone and UPA dose-dependently suppressed progesterone-induced acrosome reaction, hyperactivation and [Ca(2+)]i at concentrations ≥0.4 μM in human spermatozoa. Both compounds did not affect sperm motility, viability, DNA integrity, capacitation, spontaneous acrosome reaction, spontaneous hyperactivation, ZP binding capability and [Ca(2+)]i. This study demonstrated that UPA and mifepristone modulate human sperm functions by acting as progesterone antagonists. The results enable us to gain a better understanding of the mechanisms by which mifepristone and UPA work for emergency contraception, and provide a scientific basis for their clinical application.

Glycosylation related actions of glycodelin: gamete, cumulus cell, immune cell and clinical associations

Glycodelin is an example of a glycoprotein whose complex-type glycans mediate biological actions in human reproduction and immune reactions. Being attached to an identical protein backbone, glycodelin oligosaccharides vary significantly from one reproductive tissue to another and have an effect on its own secretion and role in cell communication. For instance, uterine glycodelin-A inhibits sperm-oocyte interaction by binding on the sperm head. This is a glycosylation-dependent phenomenon, in which fucosyltransferase-5 plays a key role. Glycodelin-S from seminal plasma binds evenly around the sperm head and maintains an uncapacitated state in the spermatozoa, until the isoform is detached during sperm passage through the cervix. Glycodelin-F from follicular fluid and Fallopian tube binds to the acrosomal region of the sperm head, thereby inhibiting both the sperm-oocyte binding and premature progesterone-induced acrosome reaction. The cumulus cells surrounding the oocyte can capture glycodelin-A and -F from the surrounding environment and convert these isoforms to a cumulus cell isoform, glycodelin-C. It differs by glycosylation from the other isoforms, and it too attaches on the sperm head, with the highest density in the equatorial region. Glycodelin-C is capable of detaching the sperm-bound inhibitory isoforms so that the sperm-oocyte binding is enhanced. Glycodelin-A also has immunosuppressive actions directed to cellular, humoral and innate immunity. Although these actions depend mainly on the protein backbone, glycosylation also plays a part. Glycosylated glycodelin may be involved in the protection of spermatozoa against maternal immune reactions, and glycodelin also has apoptogenic activity. Some glycosylation patterns of glycodelin may mask its apoptogenic domain. This review updates the recent research and clinical associations of glycodelin, highlighting the role of glycosylation.

The Contribution of d-Mannose, l-Fucose, N-Acetylglucosamine, and Selectin Residues on the Binding of Glycodelin Isoforms to Human Spermatozoa1

Previous data showed that glycodelin-A from amniotic fluid and glycodelin-F from follicular fluid inhibited sperm-zona pellucida binding. Solubilized zona pellucida reduced the binding of glycodelin-F to sperm extract dose dependently. This study demonstrated that the zona pellucida proteins also reduced the binding of glycodelin-A to sperm extract. Ionophore-induced acrosome reaction reduced the binding of iodinated glycodelin-A and -F to sperm, indicating that the glycodelin-binding sites are on the outer acrosomal membrane or on the sperm plasma membrane overlying the acrosome. While the binding of glycodelin-A to sperm was suppressed by mannose and fucose neoglycoproteins, that of glycodelin-F was also reduced by acetylglucosamine neoglycoprotein. Pretreatment of sperm with inhibitors of mannosidase and acetylglucosaminidase reduced the binding of glycodelin-F to sperm. On the other hand, inhibitor of mannosidase but not of acetylglucosaminidase inhibited the binding of glycodelin-A. In a competition binding assay, mannosidase reduced both glycodelin-A and -F binding whereas acetylglucosaminidase reduced only glycodelin-F binding. While fucosidase reduced the binding of both glycodelins, fucosidase inhibitor was marginally active in suppressing the binding of glycodelins to human sperm. Among the selectins tested, only E-selectin had a slight inhibitory effect on the binding of glycodelin-A to sperm. The binding of glycodelin-F was unaffected by selectins and their antibodies. In conclusion, the binding of glycodelin-A to sperm involves mannose, fucose, and possibly E- selectin residues, while that of glycodelin-F involves mannose, fucose, and N-acetylglucosamine but not the selectin residue.

Zona-binding inhibitory factor-1 from human follicular fluid is an isoform of glycodelin

Zona-binding inhibitory factor-1 (ZIF-1), a glycoprotein in human follicular fluid, reduces the binding of spermatozoa to the zona pellucida. ZIF-1 has a number of properties similar to those of glycodelin-A from human follicular fluid. The objective of this study was to compare the biochemical characteristics of these two glycoproteins. N-terminal sequencing and protease-digested peptide mapping showed that ZIF-1 and glycodelin-A have the same protein core. However, these glycoproteins differ in their oligosaccharide chains, as demonstrated by fluorophore-assisted carbohydrate electrophoresis, lectin-binding ability, and isoelectric focusing. ZIF-1 inhibited spermatozoa-zona pellucida binding slightly more than did glycodelin-A and significantly suppressed progesterone-induced acrosome reaction of human spermatozoa. Indirect immunofluorescence staining revealed specific binding of glycodelin-A and ZIF-1 to the acrosome region of human spermatozoa, where ZIF-1 produced a stronger signal than did glycodelin-A at the same protein concentration. These data suggest that ZIF-1 is a differentially glycosylated isoform of glycodelin that potently inhibits human sperm-egg interaction. Future study on the function role of ZIF-1 would provide a better understanding of the regulation of fertilization in humans.

Comparative study of the biological activity of spermatozoa-zona pellucida binding inhibitory factors from human follicular fluid on various sperm function parameters

Previous studies showed that human follicular fluid (hFF) from gonadotrophin stimulated cycles contained two glycoproteins, named as ZIF-1 and ZIF-2, that reduced the zona binding capacity of spermatozoa. The present study showed that the spermatozoa-zona pellucida binding inhibitory activity was also present in hFF from natural cycle. Using the hemizona binding assay, the inhibitory effect of ZIF-1 on the zona binding capacity of spermatozoa was dose-dependent. The effect of ZIF-2 was also dose-dependent, in the range of 10-100 ng/ml. The inhibitory effects of both ZIF-1 and -2 increased with the duration of the spermatozoa-ZIF interaction. The effect of the former was present up to 120 min incubation, whilst that of latter occurred for the first 90 min. The zona binding inhibitory effect of ZIF-1 and -2 was additive when they were used together to treat the spermatozoa. The biological activity of ZIFs on other sperm parameters that might affect spermatozoa-zona pellucida binding was also investigated. ZIF-1 did not affect the acrosomal status of human spermatozoa while ZIF-2 significantly increased the number of acrosome reacted spermatozoa in the range of 0.1-10 microg. However, the increase in the incidence of acrosome-reacted spermatozoa after ZIF-2 treatment could not totally account the inhibitory effect of ZIF-2 on zona binding. Both glycoproteins did not affect the motility of human spermatozoa. Radioactively-labelled ZIFs bound to human spermatozoa. Unlabelled ZIF displaced the bound radioactivity of spermatozoa treated with the corresponding labelled ZIF. These suggested the presence of specific binding sites of ZIFs on human spermatozoa.

The synthesis and fate of glycodelin in human ovary during folliculogenesis

The ontogeny of glycodelin in human ovarian follicles during folliculogenesis was studied. Glycodelin immunoreactivity began to be detected in the granulosa cells and thecal cells of late secondary follicles. Immunoreactivity was also found in both the luteinized granulosa cells and cumulus cells obtained from women undergoing the assisted reproduction treatment. However, only the luteinized granulosa cells, and not the cumulus cells, expressed glycodelin mRNA. Results also showed that the cumulus cells took up radiolabelled glycodelin and partially deglycosylated some of it. Glycodelin (and a partially deglycolsylated form of glycoldelin) appeared to complex with two cytoplasmic or membrane components of the cumulus cells. The data also demonstrated that ZIF-1, a glycoprotein isolated from human follicular fluid, was immunologically similar to glycodelin. In conclusion, we suggest that glycodelin is synthesized in the granulosa cells of ovarian follicles at late secondary follicle stage. It then may be released into the follicular fluid from where it is taken up and partially modified by the cumulus cells.