Non-invasive Molecular Biomarkers for Predicting Outcomes of Micro-TESE in Patients with Idiopathic Non-obstructive Azoospermia

Effectiveness of, and Satisfaction with, a Microsurgical Testicular Sperm Extraction Knowledge and Skills Masterclass for a World-Wide Audience

PURPOSE

This is the first study to assess the impact of an online microsurgical testicular sperm extraction (mTESE) masterclass. We: 1) describe the masterclass's scientific content; 2) appraise the participants' acquisition of knowledge; 3) gauge whether the extent of improvement of the participants' knowledge/skills was influenced by demographic/professional attributes; and 4) evaluate the participants' satisfaction.

MATERIALS AND METHODS

This masterclass comprised five didactic lectures followed by 4 case discussions. Online surveys assessed the above objectives using a baseline questionnaire including demographics and past mTESE experience/training, a 24-question pre- and post-quiz, and a satisfaction questionnaire.

RESULTS

Participants were between 20-70 years old, with 80.37% males, mainly from Asia, Africa, and Europe, from clinical backgrounds (69.3%), and in public practice (64.4%). Half the sample reported no past mTESE training and very low skills, ≈60% wanted considerably more training, and 50% felt that good training was not readily available. Satisfaction was 98% to >99%. Pre- and post-quiz comparisons confirmed remarkable improvements in knowledge/skills, exhibiting five striking characteristics. Improvements were a) Broad i.e., across 19 of the 24 mTESE questions; b) Deep, of magnitude, as pre-/post-quiz scores improved from mean 13.71±4.13 to 17.06±4.73; c) Highly significant, consistently with p-values <0.001; d) Inclusive i.e., all participants enhanced their mTESE knowledge/skills regardless of demographic/professional attributes; and, e) Differential, e.g., non-clinical/clinical participants improved, but the former improved relatively significantly more, those with ≤5-year experience improved significantly more than those with >5-year, those in public practice significantly more than private practice participants, and those with lower self-rating in performing mTESE significantly more than those with higher self-rating.

CONCLUSIONS

The masterclass was successful with very high satisfaction levels, and markedly improved mTESE knowledge/skills among the participants. Global Andrology Forum's model can be adopted by organizations with similar goals. Future research needs to evaluate such training to develop a practically non-existent evidence base.

Non-invasive biomarkers for sperm retrieval in non-obstructive patients: a comprehensive review

Recent advancements in reproductive medicine have guided novel strategies for addressing male infertility, particularly in cases of non-obstructive azoospermia (NOA). Two prominent invasive interventions, namely testicular sperm extraction (TESE) and microdissection TESE (micro-TESE), have emerged as key techniques to retrieve gametes for assisted reproduction technologies (ART). Both heterogeneity and complexity of NOA pose a multifaceted challenge to clinicians, as the invasiveness of these procedures and their unpredictable success underscore the need for more precise guidance. Seminal plasma can be aptly regarded as a liquid biopsy of the male reproductive tract, encompassing secretions from the testes, epididymides, seminal vesicles, bulbourethral glands, and prostate. This fluid harbors a variety of cell-free nucleic acids, microvesicles, proteins, and metabolites intricately linked to gonadal activity. However, despite numerous investigations exploring potential biomarkers from seminal fluid, their widespread inclusion into the clinical practice remains limited. This could be partially due to the complex interplay of diverse clinical and genetic factors inherent to NOA that likely contributes to the absence of definitive biomarkers for residual spermatogenesis. It is conceivable that the integration of clinical data with biomarkers could increase the potential in predicting surgical procedure outcomes and their choice in NOA cases. This comprehensive review addresses the challenge of sperm retrieval in NOA through non-invasive biomarkers. Moreover, we delve into promising perspectives, elucidating innovative approaches grounded in multi-omics methodologies, including genomics, transcriptomics and proteomics. These cutting-edge techniques, combined with the clinical and genetics features of patients, could improve the use of biomarkers in personalized medical approaches, patient counseling, and the decision-making continuum. Finally, Artificial intelligence (AI) holds significant potential in the realm of combining biomarkers and clinical data, also in the context of identifying non-invasive biomarkers for sperm retrieval.

Constructing a seventeen-gene signature model for non-obstructive azoospermia based on integrated transcriptome analyses and WGCNA

BACKGROUND

Non-obstructive azoospermia (NOA) affects approximately 1% of the male population worldwide. The underlying mechanism and gene transcription remain unclear. This study aims to explore the potential pathogenesis for the detection and management of NOA.

METHODS

Based on four microarray datasets from the Gene Expression Omnibus database, integrated analysis and weighted correlation network analysis (WGCNA) were used to obtain the intersected common differentially expressed genes (DESs). Differential signaling pathways were identified via GO and GSVA-KEGG analyses. We constructed a seventeen-gene signature model using least absolute shrinkage and selection operation (LASSO) regression, and validated its efficacy in another two GEO datasets. Three patients with NOA and three patients with obstructive azoospermia were recruited. The mRNA levels of seven key genes were measured in testicular samples, and the gene expression profile was evaluated in the Human Protein Atlas (HPA) database.

RESULTS

In total, 388 upregulated and 795 downregulated common DEGs were identified between the NOA and control groups. ATPase activity, tubulin binding, microtubule binding, and metabolism- and immune-associated signaling pathways were significantly enriched. A seventeen-gene signature predictive model was constructed, and receiver operating characteristic (ROC) analysis showed that the area under the curve (AUC) values were 1.000 (training group), 0.901 (testing group), and 0.940 (validation set). The AUCs of seven key genes (REC8, CPS1, DHX57, RRS1, GSTA4, SI, and COX7B) were all > 0.8 in both the testing group and the validation set. The qRT-PCR results showed that consistent with the sequencing data, the mRNA levels of RRS1, GSTA4, and COX7B were upregulated, while CPS1, DHX57, and SI were downregulated in NOA. Four genes (CPS1, DHX57, RRS1, and SI) showed significant differences. Expression data from the HPA database showed the localization characteristics and trajectories of seven key genes in spermatogenic cells, Sertoli cells, and Leydig cells.

CONCLUSIONS

Our findings suggest a novel seventeen-gene signature model with a favorable predictive power, and identify seven key genes with potential as NOA-associated marker genes. Our study provides a new perspective for exploring the underlying pathological mechanism in male infertility.