Deep learning predicts therapy-relevant genetics in acute myeloid leukemia from Pappenheim-stained bone marrow smears.

ABSTRACT: The detection of genetic aberrations is crucial for early therapy decisions in acute myeloid leukemia (AML) and recommended for all patients. Because genetic testing is expensive and time consuming, a need remains for cost-effective, fast, and broadly accessible tests to predict these aberrations in this aggressive malignancy. Here, we developed a novel fully automated end-to-end deep learning pipeline to predict genetic aberrations directly from single-cell images from scans of conventionally stained bone marrow smears already on the day of diagnosis. We used this pipeline to compile a multiterabyte data set of >2 000 000 single-cell images from diagnostic samples of 408 patients with AML. These images were then used to train convolutional neural networks for the prediction of various therapy-relevant genetic alterations. Moreover, we created a temporal test cohort data set of >444 000 single-cell images from further 71 patients with AML. We show that the models from our pipeline can significantly predict these subgroups with high areas under the curve of the receiver operating characteristic. Potential genotype-phenotype links were visualized with 2 different strategies. Our pipeline holds the potential to be used as a fast and inexpensive automated tool to screen patients with AML for therapy-relevant genetic aberrations directly from routine, conventionally stained bone marrow smears already on the day of diagnosis. It also creates a foundation to develop similar approaches for other bone marrow disorders in the future.

OGRE: calculate, visualize, and analyze overlap between genomic input regions and public annotations.

BACKGROUND: Modern genome sequencing leads to an ever-growing collection of genomic annotations. Combining these elements with a set of input regions (e.g. genes) would yield new insights in genomic associations, such as those involved in gene regulation. The required data are scattered across different databases making a manual approach tiresome, unpractical, and prone to error. Semi-automatic approaches require programming skills in data parsing, processing, overlap calculation, and visualization, which most biomedical researchers lack. Our aim was to develop an automated tool providing all necessary algorithms, benefiting both bioinformaticians and researchers without bioinformatic training. RESULTS: We developed overlapping annotated genomic regions (OGRE) as a comprehensive tool to associate and visualize input regions with genomic annotations. It does so by parsing regions of interest, mining publicly available annotations, and calculating possible overlaps between them. The user can thus identify location, type, and number of associated regulatory elements. Results are presented as easy to understand visualizations and result tables. We applied OGRE to recent studies and could show high reproducibility and potential new insights. To demonstrate OGRE's performance in terms of running time and output, we have conducted a benchmark and compared its features with similar tools. CONCLUSIONS: OGRE's functions and built-in annotations can be applied as a downstream overlap association step, which is compatible with most genomic sequencing outputs, and can thus enrich pre-existing analyses pipelines. Compared to similar tools, OGRE shows competitive performance, offers additional features, and has been successfully applied to two recent studies. Overall, OGRE addresses the lack of tools for automatic analysis, local genomic overlap calculation, and visualization by providing an easy to use, end-to-end solution for both biologists and computational scientists.

Bi-allelic variants in INSL3 and RXFP2 cause bilateral cryptorchidism and male infertility.

STUDY QUESTION: What is the impact of variants in the genes INSL3 (Insulin Like 3) and RXFP2 (Relaxin Family Peptide Receptor 2), respectively, on cryptorchidism and male infertility? SUMMARY ANSWER: Bi-allelic loss-of-function (LoF) variants in INSL3 and RXFP2 result in bilateral cryptorchidism and male infertility, whereas heterozygous variant carriers are phenotypically unaffected. WHAT IS KNOWN ALREADY: The small heterodimeric peptide INSL3 and its G protein-coupled receptor RXFP2 play a major role in the first step of the biphasic descent of the testes, and variants in the INSL3 and RXFP2 genes have long been implicated in inherited cryptorchidism. However, only one single homozygous missense variant in RXFP2 has clearly been linked to familial bilateral cryptorchidism, so the effects of bi-allelic variants in INSL3 and heterozygous variants in both genes on cryptorchidism and male infertility remain unclear. STUDY DESIGN, SIZE, DURATION: Exome data of 2412 men from the MERGE (Male Reproductive Genomics) study cohort including 1902 infertile men with crypto-/azoospermia, of whom 450 men had a history of cryptorchidism, were screened for high-impact variants in INSL3 and RXFP2. PARTICIPANTS/MATERIALS, SETTING, METHODS: For patients with rare, high-impact variants in INSL3 and RXFP2, detailed clinical data were collected and the testicular phenotype was determined. Genotyping of family members was performed to analyse the co-segregation of candidate variants with the condition. Immunohistochemical staining for INSL3 in patient testicular tissue and measuring serum INSL3 concentration was performed to analyse the functional impact of a homozygous loss-of-function variant in INSL3. For a homozygous missense variant in RXFP2, its impact on the protein's cell surface expression and ability to respond to INSL3 in CRE reporter gene assay was determined. MAIN RESULTS AND THE ROLE OF CHANCE: This study presents homozygous high-impact variants in INSL3 and RXFP2 and clearly correlates these to bilateral cryptorchidism. Functional impact of the identified INSL3 variant was demonstrated by absence of INSL3-specific staining in patients' testicular Leydig cells as well as undetectable blood serum levels. The identified missense variant in RXFP2 was demonstrated to lead to reduced RXFP2 surface expression and INSL3 mediated receptor activation. LIMITATIONS, REASONS FOR CAUTION: Further investigations are needed to explore a potential direct impact of bi-allelic INSL3 and RXFP2 variants on spermatogenesis. With our data, we cannot determine whether the infertility observed in our patients is a direct consequence of the disruption of a possible function of these genes on spermatogenesis or whether it occurs secondarily due to cryptorchidism. WIDER IMPLICATIONS OF THE FINDINGS: In contrast to previous assumptions, this study supports an autosomal recessive inheritance of INSL3- and RXFP2-related bilateral cryptorchidism while heterozygous LoF variants in either gene can at most be regarded as a risk factor for developing cryptorchidism. Our findings have diagnostic value for patients with familial/bilateral cryptorchidism and additionally shed light on the importance of INSL3 and RXFP2 in testicular descent and fertility. STUDY FUNDING/COMPETING INTEREST(S): This study was carried out within the frame of the German Research Foundation (DFG) funded by Clinical Research Unit 'Male Germ Cells: from Genes to Function' (DFG, CRU326). Research at the Florey was supported by an NHMRC grant (2001027) and the Victorian Government Operational Infrastructure Support Program. A.S.B. is funded by the DFG ('Emmy Noether Programme' project number 464240267). The authors declare no conflict of interest. TRIAL REGISTRATION NUMBER: N/A.

Testicular Architecture of Men with 46,XX Testicular Disorders of Sex Development.

BACKGROUND: A subtype of disorders of sex development (DSD) in individuals with a 46,XX karyotype who are phenotypically male is classified as testicular DSD (46,XX TDSD). These individuals develop testes but are infertile due to germ cell loss. However, little is known about their testicular architecture. METHODS: We analyzed biopsies of four SRY positive 46,XX TDSD men for testicular architecture, Sertoli (SCs) and Leydig cells (LCs). These were compared with biopsies of men with normal spermatogenesis (NS, n = 4), men with Klinefelter syndrome, 47 XXY (KS, n = 4), and men with AZF deletions (AZF, n = 5). Testicular architecture was evaluated and SCs and LCs were analyzed for specific markers (SC: SOX9, DMRT1; LC: INSL3). RESULTS: A smaller number of tubules, more SOX9-negative but similar proportions of DMRT1-negative SCs were found in 46,XX TDSD compared to NS. The lower number of tubules and severe LC hyperplasia observed in 46,XX TDSD were similar to KS. CONCLUSION: Testicular architecture and marker expression of SCs and LCs in 46,XX TDSD men display unique patterns, which are discernable from chromosomal aneuploidies. Given the reduced Y-chromosomal gene content in 46,XX TDSD, the supernumerary X chromosome effects may be decisive regarding the damage on testicular composition and endocrine function.

Transcriptome analyses in infertile men reveal germ cell-specific expression and splicing patterns.

The process of spermatogenesis-when germ cells differentiate into sperm-is tightly regulated, and misregulation in gene expression is likely to be involved in the physiopathology of male infertility. The testis is one of the most transcriptionally rich tissues; nevertheless, the specific gene expression changes occurring during spermatogenesis are not fully understood. To better understand gene expression during spermatogenesis, we generated germ cell-specific whole transcriptome profiles by systematically comparing testicular transcriptomes from tissues in which spermatogenesis is arrested at successive steps of germ cell differentiation. In these comparisons, we found thousands of differentially expressed genes between successive germ cell types of infertility patients. We demonstrate our analyses' potential to identify novel highly germ cell-specific markers (TSPY4 and LUZP4 for spermatogonia; HMGB4 for round spermatids) and identified putatively misregulated genes in male infertility (RWDD2A, CCDC183, CNNM1, SERF1B). Apart from these, we found thousands of genes showing germ cell-specific isoforms (including SOX15, SPATA4, SYCP3, MKI67). Our approach and dataset can help elucidate genetic and transcriptional causes for male infertility.

Functional assessment of DMRT1 variants and their pathogenicity for isolated male infertility.

OBJECTIVE: To study the impact of Doublesex and mab-3-related transcription factor 1 (DMRT1) gene variants on the encoded protein's function and the variants' pathogenic relevance for isolated male infertility caused by azoospermia. DESIGN: This study established a novel luciferase assay for DMRT1 missense variants using 2 different target promotors and validated the assay by analyzing previously published variants associated with differences in sex development. SETTING: University genetics research institute and tertiary referral center for couples' infertility. PATIENT(S): Eleven infertile men with severely impaired spermatogenesis resulting in crypto- or azoospermia and carrying rare heterozygous missense variants in DMRT1 were identified within the Male Reproductive Genomics study. MAIN OUTCOME MEASURE(S): Luciferase assays with human DMRT1 variants to test functional effects on the CYP19A1 and Stra8 target promoters. RESULT(S): We first developed and refined luciferase assays to reliably test the functional impact of DMRT1 missense variants. Next, the assay was validated by analyzing 2 DMRT1 variants associated with differences in sex development, of which c.240G>C p.(Arg80Ser) displayed highly significant effects on both target promoters compared with the wild-type protein (-40% and +100%, respectively) and c.331A>G p.(Arg111Gly) had a significant effect on the Stra8 promoter (-76%). We then systematically characterized 11 DMRT1 variants identified in infertile men. The de novo variant c.344T>A p.(Met115Lys) showed a pronounced loss of function in both DMRT1 target promoters (-100% and -86%, respectively). Variants c.308A>G p.(Lys103Arg) and c.991G>C p.(Asp331His) showed a significant gain of function exclusively for the CYP19A1 promoter (+15% and +19%, respectively). Based on these results, 3 variants were reclassified according to clinical guidelines. CONCLUSION(S): The present study highlights the importance of functionally characterizing DMRT1 variants of uncertain clinical significance. Using luciferase assays for diagnostic purposes enables an improved causal diagnosis for isolated male infertility.

Immune and spermatogenesis-related loci are involved in the development of extreme patterns of male infertility.

We conducted a genome-wide association study in a large population of infertile men due to unexplained spermatogenic failure (SPGF). More than seven million genetic variants were analysed in 1,274 SPGF cases and 1,951 unaffected controls from two independent European cohorts. Two genomic regions were associated with the most severe histological pattern of SPGF, defined by Sertoli cell-only (SCO) phenotype, namely the MHC class II gene HLA-DRB1 (rs1136759, P = 1.32E-08, OR = 1.80) and an upstream locus of VRK1 (rs115054029, P = 4.24E-08, OR = 3.14), which encodes a protein kinase involved in the regulation of spermatogenesis. The SCO-associated rs1136759 allele (G) determines a serine in the position 13 of the HLA-DRß1 molecule located in the antigen-binding pocket. Overall, our data support the notion of unexplained SPGF as a complex trait influenced by common variation in the genome, with the SCO phenotype likely representing an immune-mediated condition.

A GWAS in Idiopathic/Unexplained Infertile Men Detects a Genomic Region Determining Follicle-Stimulating Hormone Levels.

CONTEXT: Approximately 70% of infertile men are diagnosed with idiopathic (abnormal semen parameters) or unexplained (normozoospermia) infertility, with the common feature of lacking etiologic factors. Follicle-stimulating hormone (FSH) is essential for initiation and maintenance of spermatogenesis. Certain single-nucleotide variations (SNVs; formerly single-nucleotide polymorphisms [SNPs]) (ie, FSHB c.-211G > T, FSHR c.2039A > G) are associated with FSH, testicular volume, and spermatogenesis. It is unknown to what extent other variants are associated with FSH levels and therewith resemble causative factors for infertility. OBJECTIVE: We aimed to identify further genetic determinants modulating FSH levels in a cohort of men presenting with idiopathic or unexplained infertility. METHODS: We retrospectively (2010-2018) selected 1900 men with idiopathic/unexplained infertility. In the discovery study (n = 760), a genome-wide association study (GWAS) was performed (Infinium PsychArrays) in association with FSH values (Illumina GenomeStudio, v2.0). Minor allele frequencies (MAFs) were analyzed for the discovery and an independent normozoospermic cohort. In the validation study (n = 1140), TaqMan SNV polymerase chain reaction was conducted for rs11031005 and rs10835638 in association with andrological parameters. RESULTS: Imputation revealed 9 SNVs in high linkage disequilibrium, with genome-wide significance (P < 4.28e-07) at the FSHB locus 11p.14.1 being associated with FSH. The 9 SNVs accounted for up to a 4.65% variance in FSH level. In the oligozoospermic subgroup, this was increased up to 6.95% and the MAF was enhanced compared to an independent cohort of normozoospermic men. By validation, a significant association for rs11031005/rs10835638 with FSH (P = 4.71e-06/5.55e-07) and FSH/luteinizing hormone ratio (P = 2.08e-12/6.4e-12) was evident. CONCLUSIONS: This GWAS delineates the polymorphic FSHB genomic region as the main determinant of FSH levels in men with unexplained or idiopathic infertility. Given the essential role of FSH, molecular detection of one of the identified SNVs that causes lowered FSH and therewith decreases spermatogenesis could resolve the idiopathic/unexplained origin by this etiologic factor.

Machine learning based prediction models in male reproductive health: Development of a proof-of-concept model for Klinefelter Syndrome in azoospermic patients.

BACKGROUND: Due to the highly variable clinical phenotype, Klinefelter Syndrome is underdiagnosed. OBJECTIVE: Assessment of supervised machine learning based prediction models for identification of Klinefelter Syndrome among azoospermic patients, and comparison to expert clinical evaluation. MATERIALS AND METHODS: Retrospective patient data (karyotype, age, height, weight, testis volume, follicle-stimulating hormone, luteinizing hormone, testosterone, estradiol, prolactin, semen pH and semen volume) collected between January 2005 and June 2019 were retrieved from a patient data bank of a University Centre. Models were trained, validated and benchmarked based on different supervised machine learning algorithms. Models were then tested on an independent, prospectively acquired set of patient data (between July 2019 and July 2020). Benchmarking against physicians was performed in addition. RESULTS: Based on average performance, support vector machines and CatBoost were particularly well-suited models, with 100% sensitivity and >93% specificity on the test dataset. Compared to a group of 18 expert clinicians, the machine learning models had significantly better median sensitivity (100% vs. 87.5%, p = 0.0455) and fared comparably with regards to specificity (90% vs. 89.9%, p = 0.4795), thereby possibly improving diagnosis rate. A Klinefelter Syndrome Score Calculator based on the prediction models is available on http://klinefelter-score-calculator.uni-muenster.de. DISCUSSION: Differentiating Klinefelter Syndrome patients from azoospermic patients with normal karyotype (46,XY) is a problem that can be solved with supervised machine learning techniques, improving patient care. CONCLUSIONS: Machine learning could improve the diagnostic rate of Klinefelter Syndrome among azoospermic patients, even more for less-experienced physicians.

Pituitary response to GnRH stimulation tests in different FSHB-211 G/T genotypes.

STUDY QUESTION: Does pituitary response to a GnRH stimulation test differ according to the different FSHB-211 G/T genotypes? SUMMARY ANSWER: The promoter polymorphism FSHB-211 G > T affects the pituitary response to exogenous GnRH stimulation by reducing FSH and increasing LH outputs. WHAT IS KNOWN ALREADY: The FSHB-211 G > T single nucleotide polymorphism (SNP) is known to affect pituitary FSH output by impairing the transcriptional activity of FSHB. STUDY DESIGN, SIZE, DURATION: This was a cross-sectional, retrospective study on 67 male subjects (mean age: 24.6 ± 10.3 years) undergoing a GnRH stimulation test for diagnostic purposes in cases of secondary hypogonadism. PARTICIPANTS/MATERIALS, SETTING, METHODS: A GnRH stimulation test was performed by administering an i.v. bolus of 100 µg of the GnRH-analogue gonadorelin acetate to all patients, with blood samples drawn from the cubital vein immediately prior to injection (T0) and 30 (T1) and 45 minutes (T2) after. Clinical and genetic data were retrieved from a computerized database. Linear longitudinal mixed-effect models were used to assess the effects of SNP genotype on FSH and LH levels over time via additive and recessive models. MAIN RESULTS AND THE ROLE OF CHANCE: An overall marked increase in serum FSH and LH following administration i.v. of 100 µg of an LHRH-analogue was found (P < 0.0001 for linear trend, both models). Peak levels of LH were significantly higher in TT carriers than in GT and GG carriers (P = 0.012); no significant between-groups difference was found concerning stimulated FSH levels. In both the additive and recessive model, the main effect of T allele(s) did not reach statistical significance concerning FSH levels (P = 0.9502 and P = 0.8576, respectively), yet interaction effects over time demonstrated an attenuated response in T-allele carriers compared to the GG-allele carriers (P = 0.0219 and P = 0.0276). Main and interaction effects for LH were significant in both the additive (P = 0.0022 and P = 0.0013, respectively) and recessive model (P = 0.0025 and P = 0.0016, respectively). LIMITATIONS, REASONS FOR CAUTION: Given the retrospective nature of the study and the small number of TT carriers, results should be interpreted with caution. WIDER IMPLICATIONS OF THE FINDINGS: The FSHB c.-211G>T polymorphism might result in an impaired response to endogenous, as well as exogenous, GnRH stimulation. This finding might contribute to the clinical phenotype of reduced testicular volume and sperm count for patients carrying one or two T alleles. STUDY FUNDING/COMPETING INTEREST(S): Parts of the study were supported by the German Research Foundation (CRU326 Male Germ Cells). On behalf of all authors, the corresponding author states that there is no conflict of interest. TRIAL REGISTRATION NUMBER: NA.

Healthy ageing and spermatogenesis.

Delayed family planning and increased parental age increase the risk for infertility and impaired offspring health. While the impact of ageing on oogenesis is well studied, this is less understood on spermatogenesis. Assessing ageing effects on the male germline presents a challenge in differentiating between the effects of ageing-associated morbidities, infertility and 'pure' ageing. However, understanding the impact of ageing on male germ cells requires the separation of age from other factors. In this review, we therefore discuss the current knowledge on healthy ageing and spermatogenesis. Male ageing has been previously associated with declining sperm parameters, disrupted hormone secretion and increased time-to-pregnancy, among others. However, recent data show that healthy ageing does not deteriorate testicular function in terms of hormone production and spermatogenic output. In addition, intrinsic, age-dependent, highly specific processes occur in ageing germ cells that are clearly distinct from somatic ageing. Changes in spermatogonial stem cell populations indicate compensation for stem cell exhaustion. Alterations in the stem cell niche and molecular ageing signatures in sperm can be observed in ageing fertile men. DNA fragmentation rates as well as changes in DNA methylation patterns and increased telomere length are hallmarks of ageing sperm. Taken together, we propose a putative link between the re-activation of quiescent Adark spermatogonia and molecular changes in aged sperm descending from these activated spermatogonia. We suggest a baseline of 'pure' age effects in male germ cells which can be used for subsequent studies in which the impact of infertility or co-morbidities will be studied.

Testicular blood supply is altered in the 41,XXY* Klinefelter syndrome mouse model.

Hypergonadotropic hypogonadism is a major feature of Klinefelter syndrome (KS), assumed to be caused by testicular hormone resistance. It was previously shown that intratesticular testosterone levels in vivo and Leydig cell function in vitro seem to be normal indicating other functional constraints. We hypothesized that impaired testicular vascularization/blood flow could be a co-factor to the observed hypergonadotropic hypogonadism. We evaluated the testicular vascular system by measuring blood vessel sizes during postnatal development and testis blood flow in adult 41,XXY* mice. Proportional distribution and size of blood vessels were analyzed during testicular development (1, 3, 5, 7, 10, 21 dpp, 15 wpp). While ratios of the vessel/testis area were different at 15 wpp only, a lower number of smaller and mid-sized blood vessels were detected in adult KS mice. For testicular blood flow determination we applied contrast enhanced ultrasound. Floating and reperfusion time for testicular blood flow was increased in 41,XXY* mice (floating: XY* 28.8 ± 1.69 s vs XXY* 44.6 ± 5.6 s, p = 0.0192; reperfusion XY* 19.7 ± 2.8 s vs XXY*: 29.9 ± 6.2 s, p = 0.0134), indicating a diminished blood supply. Our data strengthen the concept that an impaired vascularization either in conjunction or as a result of altered KS testicular architecture contributes to hormone resistance.

A germ cell-specific ageing pattern in otherwise healthy men.

Life-long sperm production leads to the assumption that male fecundity remains unchanged throughout life. However, recently it was shown that paternal age has profound consequences for male fertility and offspring health. Paternal age effects are caused by an accumulation of germ cell mutations over time, causing severe congenital diseases. Apart from these well-described cases, molecular patterns of ageing in germ cells and their impact on DNA integrity have not been studied in detail. In this study, we aimed to assess the effects of 'pure' ageing on male reproductive health and germ cell quality. We assembled a cohort of 198 healthy men (18-84 years) for which end points such as semen and hormone profiles, sexual health and well-being, and sperm DNA parameters were evaluated. Sperm production and hormonal profiles were maintained at physiological levels over a period of six decades. In contrast, we identified a germ cell-specific ageing pattern characterized by a steady increase of telomere length in sperm and a sharp increase in sperm DNA instability, particularly after the sixth decade. Importantly, we found sperm DNA methylation changes in 236 regions, mostly nearby genes associated with neuronal development. By in silico analysis, we found that 10 of these regions are located in loci which can potentially escape the first wave of genome-wide demethylation after fertilization. In conclusion, human male germ cells present a unique germline-specific ageing process, which likely results in diminished fecundity in elderly men and poorer health prognosis for their offspring.

The Male Fertility Gene Atlas: a web tool for collecting and integrating OMICS data in the context of male infertility.

STUDY QUESTION: How can one design and implement a system that provides a comprehensive overview of research results in the field of epi-/genetics of male infertility and germ cells? SUMMARY ANSWER: Working at the interface of literature search engines and raw data repositories, the newly developed Male Fertility Gene Atlas (MFGA) provides a system that can represent aggregated results from scientific publications in a standardized way and perform advanced searches, for example based on the conditions (phenotypes) and genes related to male infertility. WHAT IS KNOWN ALREADY: PubMed and Google Scholar are established search engines for research literature. Additionally, repositories like Gene Expression Omnibus and Sequence Read Archive provide access to raw data. Selected processed data can be accessed by visualization tools like the ReproGenomics Viewer. STUDY DESIGN, SIZE, DURATION: The MFGA was developed in a time frame of 18 months under a rapid prototyping approach. PARTICIPANTS/MATERIALS, SETTING, METHODS: In the context of the Clinical Research Unit 'Male Germ Cells' (CRU326), a group of around 50 domain experts in the fields of male infertility and germ cells helped to develop the requirements engineering and feedback loops. They provided a set of 39 representative and heterogeneous publications to establish a basis for the system requirements. MAIN RESULTS AND THE ROLE OF CHANCE: The MFGA is freely available online at https://mfga.uni-muenster.de. To date, it contains 115 data sets corresponding to 54 manually curated publications and provides an advanced search function based on study conditions, meta-information and genes, whereby it returns the publications' exact tables and figures that fit the search request as well as a list of the most frequently investigated genes in the result set. Currently, study data for 31 different tissue types, 32 different cell types and 20 conditions are available. Also, ∼8000 and ∼1000 distinct genes have been found to be mentioned in at least 10 and 15 of the publications, respectively. LARGE SCALE DATA: Not applicable because no novel data were produced. LIMITATIONS, REASONS FOR CAUTION: For the most part, the content of the system currently includes the selected publications from the development process. However, a structured process for the prospective literature search and inclusion into the MFGA has been defined and is currently implemented. WIDER IMPLICATIONS OF THE FINDINGS: The technical implementation of the MFGA allows for accommodating a wide range of heterogeneous data from aggregated research results. This implementation can be transferred to other diseases to establish comparable systems and generally support research in the medical field. STUDY FUNDING/COMPETING INTEREST(S): This work was carried out within the frame of the German Research Foundation (DFG) Clinical Research Unit 'Male Germ Cells: from Genes to Function' (CRU326). The authors declare no conflicts of interest.

Testicular Microlithiasis Is Associated with Impaired Spermatogenesis in Patients with Unexplained Infertility.

INTRODUCTION: Testicular microlithiasis (TML) was shown to be associated with an increased risk of infertility. However, the association of TML with spermatogenesis in patients with unexplained infertility is still unknown. In this study, we therefore investigated the effect of TML on hormones and sperm parameters in a large cohort of infertile men without major factors for impaired fertility and azoospermic men serving for comparison. METHODS: Over a period of 10 years, we retrospectively analyzed 2,914 patients who attended our centre with the diagnosis of unexplained infertility and sperm count >1 million/ejaculate, as well as 281 patients with unexplained azoospermia. From the 2,914 patients, we identified 218 patients with TML as revealed by ultrasound imaging. Further, 26 out of 281 azoospermic patients showed TML. Subsequently, we performed a thorough analysis of reproductive parameters and their association with TML. RESULTS: The overall incidence of TML in patients with unexplained infertility and in unexplained azoospermic men was 7.5 and 9.3%, respectively. Patients with unexplained infertility and TML showed significantly smaller testicular volume, elevated FSH level, and lower sperm count and motility. Impaired spermatogenesis was not associated with the amount of microlithiasis, considered after classification into subgroups (<5 vs. ≥5 microliths/testis), and instead was associated with presence or absence of TML. TML in unexplained infertile azoospermic patients was not significantly associated neither with andrological reproductive parameters nor with sperm retrieval rate in microsurgical testicular sperm extraction. DISCUSSION/CONCLUSION: TML itself, and not the number of microliths, is associated with impaired spermatogenesis in patients with unexplained infertility. The parameter TML alone is not sufficient to predict spermatogenic impairment in azoospermic patients. This study highlights the importance of ultrasound imaging in the clinical evaluation of infertile men, taking into account that TML is a negative co-factor for male fertility.

Molecular Aging Markers in Patients with Klinefelter Syndrome.

Molecular aging markers provide the opportunity for biological age determination in humans and to study factors, such as genetic determinants, affecting the ageing process. In males with Klinefelter syndrome (KS, non-mosaic karyotype 47, XXY), which is the most common sex chromosome aneuploidy, age-related morbidity and mortality are increased, and a significantly reduced life span has been observed. The aim of this study was to investigate whether Klinefelter patients exhibit molecular signs of premature ageing. We studied, specifically, age-associated DNA methylation patterns (by pyrosequencing) and relative telomere length (TL; by quantitative polymerase chain reaction) in blood in a cohort of Klinefelter patients (n=178 and 266 for DNA methylation and TL, respectively) aged 18-71 years and compared them to the data of age-matched healthy male (n = 184 and 196 for DNA methylation and TL, respectively) and female controls (n = 50). Age-associated DNA methylation patterns were not indicative of accelerated ageing in Klinefelter men. Significantly longer telomeres were found in the young Klinefelter subjects aged 18-24 years (mean=1.51 vs. 1.09 and 1.26 in female and male controls, respectively). However, telomere length in subsequent age groups showed no difference to controls. Gonosomal aneuploidy in Klinefelter syndrome is associated with higher baseline TL at adolescent age, but comparable TL with progressive age in other age groups.

41,XXY * male mice: An animal model for Klinefelter syndrome.

Klinefelter syndrome (KS, 47,XXY) is the most frequent male chromosomal aneuploidy resulting in a highly heterogeneous clinical phenotype associated with hormonal dysbalance, increased rate of co-morbidities, and reduced lifespan. Two hallmarks of KS-affecting testicular functions are consistently observed: Hypergonadotropic hypogonadism and germ cell (GC) loss resulting in infertility. Although KS is being studied for decades, the underlying mechanisms for the observed pathophysiology are still unclear. Due to ethical restrictions, studies in humans are limited, and consequently, suitable animal models are needed to address the consequences of a supernumerary X chromosome. Mouse strains with comparable aneuploidies have been generated and yielded highly relevant insights into KS. We briefly describe the establishment of the KS mouse models, summarize the knowledge gained by their use, compare findings from the mouse models to those obtained in clinical studies, and also reflect on limitations of the currently used models derived from the B6Ei.Lt-Y* mouse strain, in which the Y chromosome is altered and its centromere position changed into a more distal location provoking meiotic non-disjunction. Breeding such as XY* males to XX females, the target 41,XXY *, and 41,XXY males are generated. Here, we summarize features of both models but report in particular findings from our 41,XXY * mice including some novel data on Sertoli cell characteristics.

Does the FSHB c.-211G>T polymorphism impact Sertoli cell number and the spermatogenic potential in infertile patients?

BACKGROUND: A genetic variant within the FSHB gene can deviate FSH action on spermatogenesis. The c.-211G>T FSHB single nucleotide polymorphism impacts FSHB transcription and biosynthesis due to interference with the LHX3 transcription factor binding. This SNP was previously shown to be strongly associated with lowered testicular volume, reduced sperm counts, and decreased FSH levels in patients carrying one or two T-alleles. OBJECTIVE: To determine the impact of the SNP FSHB c.-211G>T on Sertoli cell (SC) number, Sertoli cell workload (SCWL) and thereby spermatogenic potential. MATERIAL AND METHODS: Testicular biopsies of 31 azoospermic, homozygous T patients (26 non-obstructive azoospermia (NOA), and five obstructive azoospermia (OA)) were matched to patients with GG genotype. Marker proteins for SC (SOX9), spermatogonia (MAGE A4), and round spermatids (CREM) were used for semi-automatical quantification by immunofluorescence. SCWL (number of germ cells served by one SC) was determined and an unbiased clustering on the patient groups performed. RESULTS: Quantification of SC number in NOA patients did not yield significant differences when stratified by FSHB genotype. SC numbers are also not significantly different between FSHB genotypes for the OA patient group and between NOA and OA groups. SCWL in the NOA patient cohort is significantly reduced when compared to the OA control patients; however, in neither group an effect of the genotype could be observed. The cluster analysis of the whole study cohort yielded two groups only, namely NOA and OA, and no clustering according to the FSHB genotype. DISCUSSION AND CONCLUSION: The FSHB c.-211G>T polymorphism does not affect SC numbers or SCWL, thereby in principle maintaining the spermatogenic potential. The previously observed clinical phenotype for the FSHB genotype might therefore be caused by a hypo-stimulated spermatogenesis and not due to a decreased SC number.

High-resolution analysis of germ cells from men with sex chromosomal aneuploidies reveals normal transcriptome but impaired imprinting.

BACKGROUND: The most common sex chromosomal aneuploidy in males is Klinefelter syndrome, which is characterized by at least one supernumerary X chromosome. While these men have long been considered infertile, focal spermatogenesis can be observed in some patients, and sperm can be surgically retrieved and used for artificial reproductive techniques. Although these gametes can be used for fertility treatments, little is known about the molecular biology of the germline in Klinefelter men. Specifically, it is unclear if germ cells in Klinefelter syndrome correctly establish the androgenetic DNA methylation profile and transcriptome. This is due to the low number of germ cells in the Klinefelter testes available for analysis. RESULTS: Here, we overcame these difficulties and successfully investigated the epigenetic and transcriptional profiles of germ cells in Klinefelter patients employing deep bisulfite sequencing and single-cell RNA sequencing. On the transcriptional level, the germ cells from Klinefelter men clustered together with the differentiation stages of normal spermatogenesis. Klinefelter germ cells showed a normal DNA methylation profile of selected germ cell-specific markers compared with spermatogonia and sperm from men with normal spermatogenesis. However, germ cells from Klinefelter patients showed variations in the DNA methylation of imprinted regions. CONCLUSIONS: These data indicate that Klinefelter germ cells have a normal transcriptome but might present aberrant imprinting, showing impairment in germ cell development that goes beyond mere germ cell loss.