Proteomic biomarkers in seminal plasma as predictors of reproductive potential in azoospermic men.

Introduction: Azoospermia, characterized by an absence of sperm in the ejaculate, represents the most severe form of male infertility. While surgical sperm retrieval in obstructive azoospermia (OA) is successful in the majority of cases, patients with non-obstructive azoospermia (NOA) show retrieval rates of only about 50% and thus frequently have unnecessary surgery. Surgical intervention could be avoided if patients without preserved spermatogenesis are identified preoperatively. This prospective study aimed to discover biomarkers in seminal plasma that could be employed for a non-invasive differential diagnosis of OA/NOA in order to rationalize surgery recommendations and improve success rates. Methods: All patients signed written informed consent, underwent comprehensive andrological evaluation, received human genetics to exclude relevant pathologies, and patients with azoospermia underwent surgical sperm retrieval. Using label-free LC-MS/MS, we compared the proteomes of seminal plasma samples from fertile men (healthy controls (HC), n=8) and infertile men diagnosed with 1) OA (n=7), 2) NOA with successful sperm retrieval (mixed testicular atrophy (MTA), n=8), and 3) NOA without sperm retrieval (Sertoli cell-only phenotype (SCO), n=7). Relative abundance changes of two candidate markers of sperm retrieval, HSPA2 and LDHC, were confirmed by Western Blot. Results: We found the protein expression levels of 42 proteins to be significantly down-regulated (p ≤ 0.05) in seminal plasma from SCO NOA patients relative to HC whereas only one protein was down-regulated in seminal plasma from MTA patients. Analysis of tissue and cell expression suggested that the testis-specific proteins LDHC, PGK2, DPEP3, and germ-cell enriched heat-shock proteins HSPA2 and HSPA4L are promising biomarkers of spermatogenic function. Western blotting revealed a significantly lower abundance of LDHC and HSPA2 in the seminal plasma of men with NOA (SCO and MTA) compared to controls. Discussion: The results indicate that certain testis-specific proteins when measured in seminal plasma, could serve as indicators of the presence of sperm in the testis and predict the success of sperm retrieval. Used in conjunction with conventional clinical assessments, these proteomic biomarkers may assist in the non-invasive diagnosis of idiopathic male infertility.

Establishment and validation of a 5-factor diagnostic model for obstructive and non-obstructive azoospermia based on routine clinical parameters.

Azoospermia is a serious leading male-factor cause of infertility in couples of childbearing age. The two main azoospermia types, obstructive (OA) and non-obstructive (NOA) azoospermia, differ in their treatment approaches. Therefore, their clinical diagnosis is extremely important, requiring an accurate, efficient, and easy-to-use diagnostic model. This retrospective observational study included 707 patients with azoospermia treated between 2017 and 2021, 498 with OA, and 209 with NOA. Hematological and seminal plasma parameters, hormone levels, and testicular volume were used in logistic regression analysis to evaluate and compare their diagnostic performance, results showed that the optimal diagnostic model is constructed by five variables including semen volume, semen pH, seminal plasma neutral α-glucosidase activity, follicle-stimulating hormone in the serum, and testicular volume, compared with follicle-stimulating hormone-based and testicular volume-based models. The 5-factor diagnostic model had an accuracy of 90.4%, sensitivity of 96.4%, positive predictive value of 90.6%, negative predictive value of 89.8%, and area under the curve of 0.931, all higher than in the other two models. However, its specificity (76.1%) was slightly lower than in the other models. Meantime, the internal 5-fold cross-validation results indicated that the 5-factor diagnostic model had a good clinical application value. This study established an accurate, efficient, and relatively accessible 5-factor diagnostic model for OA and NOA, providing a reference for clinical decision-making when selecting an appropriate treatment.

Describing patterns of familial cancer risk in subfertile men using population pedigree data.

STUDY QUESTION: Can we simultaneously assess risk for multiple cancers to identify familial multicancer patterns in families of azoospermic and severely oligozoospermic men? SUMMARY ANSWER: Distinct familial cancer patterns were observed in the azoospermia and severe oligozoospermia cohorts, suggesting heterogeneity in familial cancer risk by both type of subfertility and within subfertility type. WHAT IS KNOWN ALREADY: Subfertile men and their relatives show increased risk for certain cancers including testicular, thyroid, and pediatric. STUDY DESIGN, SIZE, DURATION: A retrospective cohort of subfertile men (N = 786) was identified and matched to fertile population controls (N = 5674). Family members out to third-degree relatives were identified for both subfertile men and fertile population controls (N = 337 754). The study period was 1966-2017. Individuals were censored at death or loss to follow-up, loss to follow-up occurred if they left Utah during the study period. PARTICIPANTS/MATERIALS, SETTING, METHODS: Azoospermic (0 × 106/mL) and severely oligozoospermic (<1.5 × 106/mL) men were identified in the Subfertility Health and Assisted Reproduction and the Environment cohort (SHARE). Subfertile men were age- and sex-matched 5:1 to fertile population controls and family members out to third-degree relatives were identified using the Utah Population Database (UPDB). Cancer diagnoses were identified through the Utah Cancer Registry. Families containing ≥10 members with ≥1 year of follow-up 1966-2017 were included (azoospermic: N = 426 families, 21 361 individuals; oligozoospermic: N = 360 families, 18 818 individuals). Unsupervised clustering based on standardized incidence ratios for 34 cancer phenotypes in the families was used to identify familial multicancer patterns; azoospermia and severe oligospermia families were assessed separately. MAIN RESULTS AND THE ROLE OF CHANCE: Compared to control families, significant increases in cancer risks were observed in the azoospermia cohort for five cancer types: bone and joint cancers hazard ratio (HR) = 2.56 (95% CI = 1.48-4.42), soft tissue cancers HR = 1.56 (95% CI = 1.01-2.39), uterine cancers HR = 1.27 (95% CI = 1.03-1.56), Hodgkin lymphomas HR = 1.60 (95% CI = 1.07-2.39), and thyroid cancer HR = 1.54 (95% CI = 1.21-1.97). Among severe oligozoospermia families, increased risk was seen for three cancer types: colon cancer HR = 1.16 (95% CI = 1.01-1.32), bone and joint cancers HR = 2.43 (95% CI = 1.30-4.54), and testis cancer HR = 2.34 (95% CI = 1.60-3.42) along with a significant decrease in esophageal cancer risk HR = 0.39 (95% CI = 0.16-0.97). Thirteen clusters of familial multicancer patterns were identified in families of azoospermic men, 66% of families in the azoospermia cohort showed population-level cancer risks, however, the remaining 12 clusters showed elevated risk for 2-7 cancer types. Several of the clusters with elevated cancer risks also showed increased odds of cancer diagnoses at young ages with six clusters showing increased odds of adolescent and young adult (AYA) diagnosis [odds ratio (OR) = 1.96-2.88] and two clusters showing increased odds of pediatric cancer diagnosis (OR = 3.64-12.63). Within the severe oligozoospermia cohort, 12 distinct familial multicancer clusters were identified. All 12 clusters showed elevated risk for 1-3 cancer types. An increase in odds of cancer diagnoses at young ages was also seen in five of the severe oligozoospermia familial multicancer clusters, three clusters showed increased odds of AYA diagnosis (OR = 2.19-2.78) with an additional two clusters showing increased odds of a pediatric diagnosis (OR = 3.84-9.32). LIMITATIONS, REASONS FOR CAUTION: Although this study has many strengths, including population data for family structure, cancer diagnoses and subfertility, there are limitations. First, semen measures are not available for the sample of fertile men. Second, there is no information on medical comorbidities or lifestyle risk factors such as smoking status, BMI, or environmental exposures. Third, all of the subfertile men included in this study were seen at a fertility clinic for evaluation. These men were therefore a subset of the overall population experiencing fertility problems and likely represent those with the socioeconomic means for evaluation by a physician. WIDER IMPLICATIONS OF THE FINDINGS: This analysis leveraged unique population-level data resources, SHARE and the UPDB, to describe novel multicancer clusters among the families of azoospermic and severely oligozoospermic men. Distinct overall multicancer risk and familial multicancer patterns were observed in the azoospermia and severe oligozoospermia cohorts, suggesting heterogeneity in cancer risk by type of subfertility and within subfertility type. Describing families with similar cancer risk patterns provides a new avenue to increase homogeneity for focused gene discovery and environmental risk factor studies. Such discoveries will lead to more accurate risk predictions and improved counseling for patients and their families. STUDY FUNDING/COMPETING INTEREST(S): This work was funded by GEMS: Genomic approach to connecting Elevated germline Mutation rates with male infertility and Somatic health (Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD): R01 HD106112). The authors have no conflicts of interest relevant to this work. TRIAL REGISTRATION NUMBER: N/A.

[Not unusual case of male genetic infertility]. / Infertilité masculine d'origine génétique : un cas pas si inhabituel.

Following a year of regular unprotected intercourse with his partner, and without achieving pregnancy, Mr. L. turned to his general practitioner. A semen analysis was carried out and no spermatozoa was found. After being referred to a male infertility specialist, the patient underwent a second test and a comprehensive assessment of his azoospermia. The azoospermia was confirmed and the genetic investigation revealed aneuploidy..

Seminal extracellular vesicle sncRNA sequencing reveals altered miRNA/isomiR profiles as sperm retrieval biomarkers for azoospermia.

BACKGROUND: Non-invasive molecular biomarkers for classifying azoospermia by origin into either obstructive or non-obstructive/secretory azoospermia, as well as for inferring the spermatogenic reserve of the testis of non-obstructive/secretory azoospermia patients, are of great interest for testicular sperm retrieval outcome prediction for assisted reproduction. Prior analyses of semen small non-coding RNA expression in azoospermia have focused on microRNAs, but there has been a lack of attention on other regulatory small RNA species. In this regard, studying more in-depth expression changes of small non-coding RNA subtypes in small extracellular vesicles from semen of azoospermic individuals could be useful to select additional non-invasive biomarkers with diagnostic/prognostic purposes. MATERIAL AND METHODS: A high-throughput small RNA profiling analysis to determine the expression pattern of seminal small extracellular vesicle microRNAs (analyzed at the isomiR level), PIWI-interacting RNAs, and transfer RNA-derived small RNAs in normozoospermic (n = 4) and azoospermic (obstructive azoospermia because of pathological occurring obstruction in the genital tract, n = 4; secretory azoospermic individuals with positive testicular sperm extraction value, n = 5; secretory azoospermic individuals with negative testicular sperm extraction value, n = 4) individuals was carried out. Reverse transcriptase-quantitative real-time polymerase chain reaction validation analysis of selected microRNAs was additionally performed in a larger number of individuals. RESULTS AND DISCUSSION: Clinically relevant quantitative changes in the small non-coding RNA levels contained in semen small extracellular vesicles can be used as biomarkers for the origin of azoospermia and for predicting the presence of residual spermatogenesis. In this regard, canonical isoform microRNAs (n = 185) but also other isomiR variants (n = 238) stand out in terms of numbers and fold-change differences in expression, underlining the need to consider isomiRs when investigating microRNA-based regulation. Conversely, although transfer RNA-derived small RNAs are shown in our study to represent a high proportion of small non-coding RNA sequences in seminal small extracellular vesicle samples, they are not able to discriminate the origin of azoospermia. PIWI-interacting RNA cluster profiles and individual PIWI-interacting RNAs with significant differential expression were also not able to discriminate. Our study demonstrated that expression values of individual and/or combined canonical isoform microRNAs (miR-10a-5p, miR-146a-5p, miR-31-5p, miR-181b-5p; area under the receiver operating characteristic curve >0.8) in small extracellular vesicles provide considerable clinical value in identifying samples with a high likelihood of sperm retrieval while discriminating azoospermia by origin. Although no individual microRNA showed sufficient discriminating power on its own to identify severe spermatogenic disorders with focal spermatogenesis, multivariate microRNA models in semen small extracellular vesicles have the potential to identify those individuals with residual spermatogenesis. Availability and adoption of such non-invasive molecular biomarkers would represent a great improvement in reproductive treatment decision protocols for azoospermia in clinical practice.

A Prediction Model of Sperm Retrieval in Males with Idiopathic Non-obstructive Azoospermia for Microdissection Testicular Sperm Extraction.

Patients with Idiopathic non-obstructive azoospermia (iNOA) can achieve fertility by extracting testicular sperm through microdissection testicular sperm extraction (mTESE). But more than half of iNOA patients still cannot benefit from mTESE. In recent years, some studies had reported that serum hormones may be related to the outcome of sperm retrieval, but few had been verified. We hope to obtain a predictive method that is convenient for clinical application and can help judge the outcome of sperm extraction before implementing mTESE. We performed a retrospective analysis of NOA patients who underwent mTESE in the same andrology center from June 2020 to November 2022. A total of 261 patients with complete data were collected, logistic regression analysis was performed and a predictive model was constructed. Then, from December 2022 to May 2023, one prospective cohort of 48 NOA patients who met the inclusion criteria from the same center was recruited to validate the risk prediction model. We successfully constructed a logistic regression model to predict the outcome of iNOA patients undergoing mTESE and found that higher serum anti-Müllerian hormone (AMH) levels were associated with failure sperm retrieval, resulting in an AMH cut-off of 2.60 ng/ml. The area under the receiver operating curve was 0.811, the sensitivity was 0.870, and the specificity was 0.705. Decision curve analysis demonstrated that the threshold probability was above 4%, and unnecessary mTESE could be reduced using this model. In a prospective cohort at the same center, 85.42% (41/48) of iNOA patients correctly identified the mTESE outcome using this model. A logistic regression model with AMH as an independent predictor can predict mTESE outcomes in iNOA patients. Preoperative selection of mTESE in patients with iNOA using this model had clinical benefit in reducing unnecessary surgery. The model demonstrated good accuracy in a small prospective cohort validation.

Sperm retrieval outcomes of contralateral testis in men with nonobstructive azoospermia and unsuccessful unilateral microdissection testicular sperm extraction.

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Azoospermia factor c microdeletions and outcomes of assisted reproductive technology: a systematic review and meta-analysis.

OBJECTIVE: To investigate whether Azoospermia Factor c (AZFc) microdeletions affect Assisted Reproductive Technology (ART) outcomes. DESIGN: Systematic review and meta-analysis. SETTING: Not applicable. PATIENTS: Infertile men with and without AZFc microdeletions. INTERVENTION(S): Electronic databases were searched for case-control studies reporting sperm retrieval rates and outcomes of ART in infertile men with and without AZFc microdeletions from inception to April 2023. Study quality was assessed using the Newcastle-Ottawa Scale. Summary effect sizes (odds ratio [OR] with 95% confidence interval [CI]) were calculated for both categories of infertile men. MAIN OUTCOME MEASURES: The primary outcome was successful sperm retrieval and the secondary outcomes were outcomes of ART. RESULTS: Case-control studies reporting sperm retrieval rates and ART outcomes in men with AZFa and AZFb deletions were unavailable. On the basis of the data from 3,807 men, sperm retrieval rates were found to be higher in men with AZFc microdeletions compared to their non-deleted counterparts [OR = 1.82, 95% CI 0.97, 3.41], but the difference was not statistically significant. A significantly lower fertilization rate (OR = 0.61, 95% CI [0.50, 0.74]), clinical pregnancy rate (OR = 0.61, 95% CI [0.42, 0.89]), and live birth rate (OR = 0.54, 95% CI [0.40, 0.72]) were observed in men with AZFc deletions compared with men without deletions. There was no statistically significant difference in rates of embryo cleavage, blastocyst formation, good-quality embryos, implantation, and miscarriage between the two groups. On correcting for female factors, the fertilization rate (OR = 0.76, 95% CI [0.71, 0.82]), cleavage rate (OR = 0.54, 95% CI [0.41, 0.72]), clinical pregnancy rate (OR = 0.39, 95% CI [0.30, 0.52]), and live birth rate (OR = 0.48, 95% CI [0.35, 0.65]) were significantly lower in men with AZFc deletions compared with controls. CONCLUSIONS: Presence of AZFc microdeletions adversely affects outcomes of ART in infertile men. Further in-depth studies delineating the role of the AZF genes in embryonic development are necessary to understand the full-impact of this finding. CLINICAL TRIAL REGISTRATION NUMBER: CRD42022311738.

EAA/EMQN best practice guidelines for molecular diagnosis of Y-chromosomal microdeletions: State of the art 2023.

Testing for AZoospermia Factor (AZF) deletions of the Y chromosome is a key component of the diagnostic workup of azoospermic and severely oligozoospermic men. This revision of the 2013 European Academy of Andrology (EAA) and EMQN CIC (previously known as the European Molecular Genetics Quality Network) laboratory guidelines summarizes recent clinically relevant advances and provides an update on the results of the external quality assessment program jointly offered by both organizations. A basic multiplex PCR reaction followed by a deletion extension analysis remains the gold-standard methodology to detect and correctly interpret AZF deletions. Recent data have led to an update of the sY84 reverse primer sequence, as well as to a refinement of what were previously considered as interchangeable border markers for AZFa and AZFb deletion breakpoints. More specifically, sY83 and sY143 are no longer recommended for the deletion extension analysis, leaving sY1064 and sY1192, respectively, as first-choice markers. Despite the transition, currently underway in several countries, toward a diagnosis based on certified kits, it should be noted that many of these commercial products are not recommended due to an unnecessarily high number of tested markers, and none of those currently available are, to the best of our knowledge, in accordance with the new first-choice markers for the deletion extension analysis. The gr/gr partial AZFc deletion remains a population-specific risk factor for impaired sperm production and a predisposing factor for testicular germ cell tumors. Testing for this deletion type is, as before, left at the discretion of the diagnostic labs and referring clinicians. Annual participation in an external quality control program is strongly encouraged, as the 22-year experience of the EMQN/EAA scheme clearly demonstrates a steep decline in diagnostic errors and an improvement in reporting practice.

AZF microdeletion affects semen parameters, sex hormone levels, and chromosome karyotypes in infertile men in Xinjiang.

This study aimed to analyze the correlation between the microdeletion of different regions of the azoospermia factor (AZF) gene and semen parameters, sex hormone levels, and karyotypes in infertile males by retrospective study. This was performed to obtain a comprehensive understanding of the clinical data of AZF microdeletion in infertile males, to guide clinical diagnoses and treatments, and to improve the efficacy and safety of assisted reproductive technology. For this purpose, Fifty-seven patients with AZF microdeletions and complete data were selected from 1916 patients with AZF microdeletions in our hospital from January 2020 to August 2022. The correlation between semen parameters, sex hormone levels, and chromosome karyotypes of these 57 patients was analyzed. Results showed that among the 57 patients with AZF microdeletions, the region with the highest microdeletion rate was AZFc with 57.89%; single or combined deletions in AZFa and AZFb regions resulted in azoospermia. The deletion frequency of AZFc in the oligospermia group was significantly higher than that in the azoospermia group, and the deletion frequencies of AZFb and AZFb + c in the azoospermia group were significantly higher than those in the oligospermia group (P<0.05). There were statistically significant differences in follicle-stimulating hormone (FSH) and luteinizing hormone (LH) levels, and chromosome karyotypes between patients with azoospermia and oligospermia (P<0.05). Statistically significant differences were observed in prolactin (PRL), FSH, testosterone (T), LH levels, and chromosome karyotypes of patients in different AZF microdeletion regions (P<0.05). In conclusion, AZF microdeletions can lead to a decline in semen quality in men, and different types of deletions have different effects on semen parameters, sex hormone levels, and karyotype analysis. Further treatments should be selected based on the AZF microdeletion area.

Reduced expression of miR-221 is associated with the pro-apoptotic pathways in spermatozoa of oligospermia men.

Oligospermia and asthenozoospermia, both frequent, can lead to male infertility. Oligospermia might be viewed as a milder form of azoospermia because the same mutations that produce azoospermia in some individuals also create oligospermia in other individuals. In this, we looked at different characteristics of oligospermia men, counting the level of apoptosis and a few related apoptotic and oxidative stress components, and compared them to solid controls. In this study, semen samples from healthy fertile men (n = 35) and oligospermia (n = 35) were collected, and sperm death rates in both groups were examined using flow cytometry. Also, gene expression of apoptotic and anti-apoptotic markers and miR-221 were investigated (Real-Time PCR). Moreover, for the evaluation of catalase and SOD activity and anti-inflammatory cytokines, including IL-10 and TGF-ß, the specific ELISA kits and procedures were applied. As a result, higher gene and protein expression levels of PTEN, P27, and P57 were observed in patients with oligospermia. In contrast, lower mRNA expression of AKT and miR-221 was detected in this group. In addition, IL-10, TGF-ß, and catalase activity were suppressed in the oligospermia group compared with healthy men samples. Moreover, the frequency of apoptosis of sperm cells is induced in patients. In conclusion, apoptosis-related markers, PTEN, and the measurement of significant and efficient oxidative stress markers like SOD and catalase in semen plasma could be considered as the critical diagnostic markers for oligospermia. Future studies will be better able to treat oligospermia by showing whether these indicators are rising or falling.

Identifying potential biomarkers for non-obstructive azoospermia using WGCNA and machine learning algorithms.

Objective: The cause and mechanism of non-obstructive azoospermia (NOA) is complicated; therefore, an effective therapy strategy is yet to be developed. This study aimed to analyse the pathogenesis of NOA at the molecular biological level and to identify the core regulatory genes, which could be utilised as potential biomarkers. Methods: Three NOA microarray datasets (GSE45885, GSE108886, and GSE145467) were collected from the GEO database and merged into training sets; a further dataset (GSE45887) was then defined as the validation set. Differential gene analysis, consensus cluster analysis, and WGCNA were used to identify preliminary signature genes; then, enrichment analysis was applied to these previously screened signature genes. Next, 4 machine learning algorithms (RF, SVM, GLM, and XGB) were used to detect potential biomarkers that are most closely associated with NOA. Finally, a diagnostic model was constructed from these potential biomarkers and visualised as a nomogram. The differential expression and predictive reliability of the biomarkers were confirmed using the validation set. Furthermore, the competing endogenous RNA network was constructed to identify the regulatory mechanisms of potential biomarkers; further, the CIBERSORT algorithm was used to calculate immune infiltration status among the samples. Results: A total of 215 differentially expressed genes (DEGs) were identified between NOA and control groups (27 upregulated and 188 downregulated genes). The WGCNA results identified 1123 genes in the MEblue module as target genes that are highly correlated with NOA positivity. The NOA samples were divided into 2 clusters using consensus clustering; further, 1027 genes in the MEblue module, which were screened by WGCNA, were considered to be target genes that are highly correlated with NOA classification. The 129 overlapping genes were then established as signature genes. The XGB algorithm that had the maximum AUC value (AUC=0.946) and the minimum residual value was used to further screen the signature genes. IL20RB, C9orf117, HILS1, PAOX, and DZIP1 were identified as potential NOA biomarkers. This 5 biomarker model had the highest AUC value, of up to 0.982, compared to other single biomarker models; additionally, the results of this biomarker model were verified in the validation set. Conclusions: As IL20RB, C9orf117, HILS1, PAOX, and DZIP1 have been determined to possess the strongest association with NOA, these five genes could be used as potential therapeutic targets for NOA patients. Furthermore, the model constructed using these five genes, which possessed the highest diagnostic accuracy, may be an effective biomarker model that warrants further experimental validation.

[Ion Torrent PGM sequencing for detection of Y chromosome microdeletion in 87 cases of azoospermia].

OBJECTIVE: To explore the feasibility of Ion Torrent PGM sequencing in detection of Y chromosome microdeletion. METHODS: We enrolled 87 infertility patients with non-obstructive azoospermia (NOA) in this study and analyzed their routine semen parameters, reproductive hormone levels and chromosomal karyotypes. We detected Y chromosome microdeletion in the patients by Ion Torrent PGM sequencing and multiplex PCR, and compared the detection rates between the two methods. RESULTS: Ion Torrent PGM sequencing achieved a significantly higher detection rate of Y chromosome microdeletion than multiplex PCR (49.4% vs 12.6%, P < 0.05). The cases of AZF deletion detected by Ion Torrent PGM sequencing included all those detected by multiplex PCR, and the deletion sites were completely consistent. In addition, 14 male infertility-related gene mutations were detected in 24 of the 87 patients, with a total positive rate of 27.59%. CONCLUSION: Ion Torrent PGM sequencing can significantly improve the detection rate of Y chromosome microdeletion in infertility patients with NOA, detect a variety of male infertility-related gene mutations, and therefore contribute to the diagnosis of azoospermia.

Fertility outcomes in men with prior history of anabolic steroid use.

OBJECTIVE: To study sperm parameters recovery and fertility outcomes in men with azoospermia or severe oligospermia caused by anabolic steroid use who underwent a standardized treatment regimen for spermatogenesis recovery. DESIGN AND SUBJECTS: A retrospective analysis of a cohort of men with a prior history of anabolic steroid use and infertility complaints (between 2018 and 2022) was conducted. EXPOSURE: The standardized treatment approach involved discontinuing testosterone replacement therapy and administering a combination regimen of clomiphene citrate and human chorionic gonadotropin for a minimum of 3 to 6 months. MAIN OUTCOME MEASURES: The main outcome measures included changes in sperm parameters, predominantly sperm concentration, and subsequent pregnancy outcomes. RESULTS: A total of 45 men (median age 37 years, IQR 32-45) met the inclusion criteria for this analysis. Median duration of prior T use was 4 years (IQR 1.3-10), with the 2 most common modalities consisting of injection therapy (43.5%) and oral therapy (34.8%). The median initial sperm concentration was 0 million/cc (IQR 0-1.15), and 23 (51.1%) men initially presented with azoospermia. The median duration of combination human chorionic gonadotropin/clomid therapy was 5 months (IQR 3-12). In initially azoospermic men (N: 23), 5 were lost to follow-up, 6 (33.3%) progressed to severe oligospermia (<5 million/cc), 6 (33.3%) to oligospermia (<15 million/cc), 1 (5.6%) to normozoospermia (>15 million/cc), and 5 (27.8%) remained azoospermic after medical treatment for 6 months. Among the 24 couples who responded to the follow-up call, a total of 9 (37.5%) achieved a successful subsequent pregnancy. Of these, 33.3% (3 couples) used assisted reproductive technology, whereas 66.7% (6 couples) conceived naturally. On logistic regression analysis, no significant predictors for improved sperm parameters or successful pregnancy were identified. CONCLUSION: Despite appropriate treatment regimens, a significant proportion of men with a prior history of anabolic steroid use continue to exhibit severe oligospermia, with more than half showing limited improvement in semen parameters after 6 months of treatment. Only a fraction of men achieves normozoospermia after treatment. Further research is needed to explore predictors for improved sperm parameters and successful pregnancy outcomes in men with a history of anabolic steroid use.

Seminal Plasma ExLncRNA Pairs: Updating Perspectives in the Search for Testicular Spermatozoa Retrieval Biomarkers in Nonobstructive Azoospermia Patients with mTESE by WGCNA.

PURPOSE: This study aims to find candidates for testicular spermatozoa retrieval biomarkers among the seminal plasma exLncRNA pairs. MATERIALS AND METHODS: A set of exLncRNA pairs with the best potential biomarkers was selected and validated in 96 NOA samples. Weighted correlation network analysis (WGCNA) and Least Absolute Shrinkage and Selection Operator were used to identify possible biomarkers for these pairs (LASSO). These pairs' potential biomarkers were identified using receiver operating curves. Confusion matrices and sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), FP, false-negative rates (FNR), and F1 scores are calculated. Through F1 scores, we selected the best threshold value. RESULTS: The relative differential expression of each pair in testicular spermatozoa retrieval (+) and testicular spermatozoa retrieval (-) men were validated. The six pairs displayed the best biomarker potential. Among them, CCDC37.DT-LOCI00505685 pair and LOC440934- LOCI01929088 (XR_001745218.1) pair showed the most significant potential and stability for detecting testicular spermatozoa retrieval in the selected and validated cohort. CONCLUSION: CCDC37.DT-LOCI00505685 pair and LOC440934- LOCI01929088 (XR_001745218.1) pair have the potential to become new molecular biomarkers that could help to select clinical strategies for microdissection testicular sperm extraction.

Successful cryptozoospermia management with multiple semen specimen collection.

OBJECTIVE: To determine the prevalence of sperm suitable for intracytoplasmic sperm injection (ICSI) in fresh ejaculated semen samples provided by men scheduled for a microdissection testicular sperm extraction (mTESE) procedure. Secondary objectives included an evaluation of the effect of a short abstinence period on semen quality and ICSI outcomes for men with cryptozoospermia. DESIGN: Retrospective cohort study. SETTING: Academic medical center. PATIENTS: All men were scheduled to undergo a mTESE procedure by a single, high-volume surgeon at an academic center from September 1, 2015, to May 1, 2021. INTERVENTION: Presence of sperm suitable for ICSI in the ejaculate on the day of scheduled mTESE. MAIN OUTCOME MEASURES: Prevalence of sperm suitable for ICSI in the ejaculate among previously diagnosed men with azoospermia. Secondary outcomes included changes in semen parameters, clinical pregnancy rate, and live birth rate. RESULTS: Of 727 planned mTESE procedures, 69 (9.5%) were canceled because sperm suitable for ICSI were identified in a fresh ejaculated sample produced on the day of scheduled surgery (typically one day before oocyte retrieval). Overall, 50 men (50/727, 6.9%) used these rare, ejaculated sperm for ICSI. Semen samples obtained with <24 hours of abstinence were more likely to have better motility than the sample initially provided on the day of the planned mTESE. The live birth rate per ICSI attempt using these rare, ejaculated sperm was 36% (19/53). CONCLUSION: Providing a fresh ejaculated semen sample on the day of mTESE allows nearly 10% of men with azoospermia to avoid surgery with satisfactory ICSI outcomes. Providing multiple ejaculated samples over a short period of time does not adversely affect sperm concentration and may enhance sperm motility in men with cryptozoospermia.