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Novelty As the largest dataset on azoospermia in Indonesia, this study provides a comprehensive histopathological and hormonal profile of azoospermic patients, while also emphasizing the diagnostic value of bilateral testicular biopsies—an area often underexplored in Southeast Asian populations. Methods A retrospective analysis was conducted on azoospermic patients who underwent bilateral testicular biopsies between April 2011 and July 2024. Testicular tissue samples were assessed using the Modified Johnsen scoring system (range: 1 to 10), and classified histopathologically from tubular fibrosis to complete spermatogenesis. Clinical parameters including age, body mass index, sperm retrieval outcomes, and serum levels of follicle-stimulating hormone, luteinizing hormone, and testosterone were collected and analyzed. Statistical associations between these parameters and histopathological subtypes were determined using significance testing. Results A total of 409 testicular biopsies were evaluated. The most frequent Modified Johnsen Scores were 7 (20%) and 5 (16.6%). Histopathological analysis showed that 40.3% of cases exhibited spermatogenic arrest, while only 7% demonstrated normal spermatogenesis. Discordant histopathological patterns between the two testes were observed in 18.5% of patients. Follicle-stimulating hormone and luteinizing hormone levels showed statistically significant associations with histopathological subtypes (p < 0.001). Age, body mass index, and testosterone levels did not correlate significantly. Conclusion Spermatogenic arrest is the predominant abnormality in azoospermic men, with hormonal variations—particularly in follicle-stimulating hormone and luteinizing hormone—strongly associated with testicular pathology. The presence of discordant histology between testes underscores the importance of bilateral biopsies. Higher Modified Johnsen Scores were positively correlated with the likelihood of successful sperm retrieval. " } { "@context": "http://schema.org", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": "1", "item": { "@id": "https://f1000research.com/", "name": "Home" } }, { "@type": "ListItem", "position": "2", "item": { "@id": "https://f1000research.com/browse/articles", "name": "Browse" } }, { "@type": "ListItem", "position": "3", "item": { "@id": "https://f1000research.com/articles/15-25/v1", "name": "Uncovering fertility potential: Clinical and histopathological insights..." } } ] } Home Browse Uncovering fertility potential: Clinical and histopathological insights... ALL Metrics - Views Downloads Get PDF Get XML Cite How to cite this article Parikesit D, Achmadsyah A, Rahmat FA et al. Uncovering fertility potential: Clinical and histopathological insights from testicular biopsies in azoospermic men in a large Indonesian cohort [version 1; peer review: 1 approved, 1 approved with reservations] . F1000Research 2026, 15 :25 ( https://doi.org/10.12688/f1000research.166812.1 ) NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article. Close Copy Citation Details Export Export Citation Sciwheel EndNote Ref. Manager Bibtex ProCite Sente EXPORT Select a format first Track Share ▬ ✚ Research Article Uncovering fertility potential: Clinical and histopathological insights from testicular biopsies in azoospermic men in a large Indonesian cohort [version 1; peer review: 1 approved, 1 approved with reservations] Dyandra Parikesit https://orcid.org/0000-0001-5779-2713 1,2 , Armand Achmadsyah https://orcid.org/0000-0002-7831-0610 3 , Favian Ariiq Rahmat 3 , [...] Retta Catherina Sihotang https://orcid.org/0000-0001-8076-8586 4 , Heri Wibowo 5 , Aria Kekalih 6 , Luluk Yunaini 7 , Asmarinah . 7 , Eric Chung https://orcid.org/0000-0003-3373-3668 8 , Ponco Birowo https://orcid.org/0000-0003-2934-6753 4,9 Dyandra Parikesit https://orcid.org/0000-0001-5779-2713 1,2 , Armand Achmadsyah https://orcid.org/0000-0002-7831-0610 3 , [...] Favian Ariiq Rahmat 3 , Retta Catherina Sihotang https://orcid.org/0000-0001-8076-8586 4 , Heri Wibowo 5 , Aria Kekalih 6 , Luluk Yunaini 7 , Asmarinah . 7 , Eric Chung https://orcid.org/0000-0003-3373-3668 8 , Ponco Birowo https://orcid.org/0000-0003-2934-6753 4,9 PUBLISHED 07 Jan 2026 Author details Author details 1 Department of Urology, Universitas Indonesia Hospital, Depok, West Java, 16424, Indonesia 2 Doctoral Program in Medical Sciences Faculty of Medicine, Universitas Indonesia, Central Jakarta, Jakarta, 10430, Indonesia 3 Faculty of Medicine, Universitas Indonesia, Central Jakarta, Jakarta, 10430, Indonesia 4 Department of Urology, Cipto Mangunkusumo Hospital, Central Jakarta, Jakarta, 10430, Indonesia 5 Metabolic Disorder, Cardiovascular, and Aging Research Center, Indonesia Medical Education & Research Institute (IMERI), Faculty of Medicine, Universitas Indonesia, Central Jakarta, Jakarta, 10430, Indonesia 6 Community Medicine Department, Faculty of Medicine, Universitas Indonesia, Central Jakarta, Jakarta, 10430, Indonesia 7 Department of Medical Biology, Faculty of Medicine, Universitas Indonesia, Central Jakarta, Jakarta, 10430, Indonesia 8 Department of Urology, Princess Alexandra Hospital, University of Queensland, Brisbane, QLD, 4102, Australia 9 Indonesian Reproductive Science Institute, Bunda Hospital, Central Jakarta, Jakarta, 10350, Indonesia Dyandra Parikesit Roles: Conceptualization, Data Curation, Formal Analysis, Investigation, Methodology, Writing – Original Draft Preparation Armand Achmadsyah Roles: Data Curation, Formal Analysis, Investigation, Methodology, Writing – Original Draft Preparation Favian Ariiq Rahmat Roles: Data Curation, Formal Analysis, Investigation, Methodology, Writing – Original Draft Preparation Retta Catherina Sihotang Roles: Investigation, Methodology Heri Wibowo Roles: Methodology, Supervision, Writing – Review & Editing Aria Kekalih Roles: Formal Analysis, Methodology, Supervision, Writing – Review & Editing Luluk Yunaini Roles: Investigation, Methodology, Writing – Review & Editing Asmarinah . Roles: Investigation, Methodology, Supervision, Validation, Writing – Review & Editing Eric Chung Roles: Methodology, Validation, Writing – Review & Editing Ponco Birowo Roles: Conceptualization, Data Curation, Formal Analysis, Project Administration, Supervision, Validation, Writing – Review & Editing OPEN PEER REVIEW DETAILS REVIEWER STATUS Abstract Objective This study aims to evaluate spermatogenic failure in azoospermic men by characterizing patterns in Modified Johnsen Scores from testicular biopsies, examining their correlation with clinical and hormonal parameters, and determining the probability of live sperm retrieval. Novelty As the largest dataset on azoospermia in Indonesia, this study provides a comprehensive histopathological and hormonal profile of azoospermic patients, while also emphasizing the diagnostic value of bilateral testicular biopsies—an area often underexplored in Southeast Asian populations. Methods A retrospective analysis was conducted on azoospermic patients who underwent bilateral testicular biopsies between April 2011 and July 2024. Testicular tissue samples were assessed using the Modified Johnsen scoring system (range: 1 to 10), and classified histopathologically from tubular fibrosis to complete spermatogenesis. Clinical parameters including age, body mass index, sperm retrieval outcomes, and serum levels of follicle-stimulating hormone, luteinizing hormone, and testosterone were collected and analyzed. Statistical associations between these parameters and histopathological subtypes were determined using significance testing. Results A total of 409 testicular biopsies were evaluated. The most frequent Modified Johnsen Scores were 7 (20%) and 5 (16.6%). Histopathological analysis showed that 40.3% of cases exhibited spermatogenic arrest, while only 7% demonstrated normal spermatogenesis. Discordant histopathological patterns between the two testes were observed in 18.5% of patients. Follicle-stimulating hormone and luteinizing hormone levels showed statistically significant associations with histopathological subtypes (p < 0.001). Age, body mass index, and testosterone levels did not correlate significantly. Conclusion Spermatogenic arrest is the predominant abnormality in azoospermic men, with hormonal variations—particularly in follicle-stimulating hormone and luteinizing hormone—strongly associated with testicular pathology. The presence of discordant histology between testes underscores the importance of bilateral biopsies. Higher Modified Johnsen Scores were positively correlated with the likelihood of successful sperm retrieval. READ ALL READ LESS Keywords Azoospermia, infertility, male, histology, sperm retrieval Corresponding Author(s) Ponco Birowo ( [email protected] ) Close Corresponding author: Ponco Birowo Competing interests: No competing interests were disclosed. Grant information: This work was supported by HIBAH PUTI 2024 Universitas Indonesia NKB-289/UN2.RST/HKP.05.00/2024. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Copyright: © 2026 Parikesit D et al . This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. How to cite: Parikesit D, Achmadsyah A, Rahmat FA et al. Uncovering fertility potential: Clinical and histopathological insights from testicular biopsies in azoospermic men in a large Indonesian cohort [version 1; peer review: 1 approved, 1 approved with reservations] . F1000Research 2026, 15 :25 ( https://doi.org/10.12688/f1000research.166812.1 ) First published: 07 Jan 2026, 15 :25 ( https://doi.org/10.12688/f1000research.166812.1 ) Latest published: 18 Mar 2026, 15 :25 ( https://doi.org/10.12688/f1000research.166812.2 ) There is a newer version of this article available. Suppress this message for one day. Introduction Infertility affects a significant proportion of couples worldwide and has been reported in around 17.5% of adults worldwide, according to the World Health Organization (WHO). 1 Among male infertility cases, 10–15% of males reported having azoospermia—a condition characterized by the absence of sperm in ejaculate—which represents a severe manifestation that challenges fertility interventions. 2 Supporting this, a study conducted in Jakarta, Indonesia involving 1,062 male infertility patients revealed that only 5.13% had normal semen parameters, with the majority of abnormalities attributed to azoospermia. Beyond its clinical significance, male infertility carries profound psychosocial, economic, and reproductive consequences. Affected individuals often experience psychological distress, social stigma, and a diminished sense of self-worth. Economically, infertility imposes substantial costs, particularly in low- and middle-income countries where access to assisted reproductive technologies (ART) remains limited. 3 Understanding the underlying causes and identifying fertility potential in azoospermic men have led to increasing reliance on testicular biopsy as a diagnostic and prognostic tool. The diagnostic evaluation of male infertility generally begins with hormonal profiling, semen analysis, and scrotal ultrasonography. Hormonal tests—particularly levels of follicle-stimulating hormone (FSH), luteinizing hormone (LH), and testosterone—offer insights into the endocrine regulation of spermatogenesis. The histopathological evaluation of testicular biopsies offers crucial insights into spermatogenic function. Research has revealed that despite severe testicular dysfunction, isolated spermatogenic foci are often present. This allows assisted reproductive technologies (ART) such as testicular sperm extraction (TESE) or micro-TESE (TESE using the aid of a surgical microscope) combined with intracytoplasmic sperm injection (ICSI) to achieve successful fertilization and pregnancy outcomes. 4 Moreover, the ability to differentiate obstructive from nonobstructive azoospermia through endocrine and histological assessments has refined patient counselling and treatment approaches. 5 The success rate of the micro-TESE procedure is associated with the characteristics of the treated population, primarily age and histological patterns in the testes. 6 A comprehensive histopathological report from a diagnostic testicular biopsy is essential for the prognosis of the micro-TESE procedure. 7 The predominant morphological patterns observed in the testicular biopsies of NOA patients after unsuccessful sperm retrieval during a micro-TESE procedure include hypospermatogenesis (HS), Spermatogenic Arrest (SA), Sertoli Cells Only Phenotype (SCOP), and Tubular Fibrosis (TF). These patterns represent varying degrees of spermatogenic failure, each with distinct implications for fertility outcomes. For instance, patients with hypospermatogenesis typically have the highest chance of sperm retrieval, while those with tubular fibrosis have the lowest. Moreover, these histopathological findings often correlate with hormonal profiles. Elevated follicle-stimulating hormone (FSH) and luteinizing hormone (LH) levels are commonly associated with severe germ cell depletion seen in SCOP and TF, whereas more favorable patterns like HS may present with relatively normal hormonal levels. However, such correlations are not absolute. Hormonal markers and testicular size alone often fail to accurately predict the presence of focal spermatogenesis. Consequently, histopathological analysis is essential for appropriately selecting patients for the “second look” micro-TESE procedure, enhancing the likelihood of successful infertility treatment. In Indonesia, a country with unique demographic and healthcare challenges, investigating testicular biopsy outcomes in azoospermic men provides valuable insights into the interplay between clinical, endocrinological, and histopathological variables. Despite global advances in male infertility research, Southeast Asia remains underrepresented in the literature, with a notable lack of large-scale studies exploring testicular histopathology among azoospermic populations. The prevalence among Indonesia or other Southeast Asian countries remain unavailable. This study aims to uncover fertility potential within a large cohort of Indonesian men by analyzing testicular biopsy results, exploring correlations with endocrine parameters, and evaluating the utility of these findings for improving ART outcomes. Given Indonesia’s vast population, genetic diversity, and regional disparities in healthcare access, population-specific data are urgently needed to develop locally relevant diagnostic algorithms and fertility treatment strategies. Methods Study design and setting This cross-sectional study included testicular biopsies from patients diagnosed with non-obstructive azoospermia (NOA) who underwent testicular sperm extraction (TESE) or micro-TESE. The procedures were performed at two tertiary care centers in Jakarta, Indonesia: Cipto Mangunkusumo National Referral Hospital and Bunda General Hospital, spanning from January 2009 to March 2024. Ethics considerations The study design was approved by the Health Research Ethics Committee – Faculty of Medicine Universitas Indonesia and Cipto Mangunkusumo Hospital (HREC-FMUI/CMH), which waived the requirement for obtaining informed consent, as this was a retrospective study utilizing fully anonymized clinical and histopathological data. The approval was granted under the ethical No. KET-1719/UN2.F1/ETIK/PPM.00.02/2024; Protocol ID: 24-11-1740. Sample size and sampling method This study employed a retrospective cross-sectional design using total sampling of azoospermic patients who underwent testicular biopsy at RSUPN Cipto Mangunkusumo between January 2010 and November 2024. Sample size was calculated using a correlation formula with a significance level of 95% (Zα = 1.96), power of 80% (Zβ = 0.84), and assumed correlation coefficient (r) of 0.5. Based on the formula: n = ( Z α / 2 + Z b ) 2 × ( 1 + r ) 2 r 2 The minimum required sample size was 71 patients. However, all eligible patients meeting the inclusion criteria were included to enhance the study’s power and representativeness. Eligibility criteria Inclusion criteria Azoospermic patients who underwent sperm retrieval procedures (TESE and micro-TESE) at Cipto Mangunkusumo National General Hospital (RSUPN Cipto Mangunkusumo) between 2010 and 2024. Patients were required to have complete data, including hormonal profiles (FSH, LH, testosterone), metabolic data (BMI, total cholesterol, HDL, LDL, triglycerides), ultrasonographic findings (presence of varicocele and the longest testicular axis), and testicular histopathological results. Exclusion criteria Patients with severe cardiac or pulmonary insufficiency, significant coagulation disorders, no prior history of sperm retrieval procedures, incomplete medical records, or those who refused consent for surgical procedures were excluded from the study. Data collection/study procedure Patient demographics, including age and laboratory results, were extracted from medical records. All testicular specimens were processed using standard protocols: fixation in Bouin’s Fluid, staining with Hematoxylin and Eosin (HE), and histological assessment via light microscopy. Biopsies were classified into four histological patterns: hypospermatogenesis (HS), spermatogenic arrest (SA), Sertoli cell-only phenotype (SCOP), and tubular fibrosis (TF). 6 , 7 Discordant biopsy was defined as differing histopathological patterns between the right and left testes. Each testicular biopsy sample was evaluated using the Modified Johnsen (MJ) scoring system ( Table 1 ), a semi-quantitative scale ranging from 1 to 10 that reflects the degree of spermatogenic activity within seminiferous tubules. 8 A score of 10 indicates complete and normal spermatogenesis, while a score of 1 reflects complete absence of germ cells with tubular fibrosis. In cases where bilateral discordance was observed, the higher score (i.e., the side with more favorable histological features) was used for classification. For analytical purposes, scores were categorized as follows: normal spermatogenesis (MJ >8), hypospermatogenesis (HS) (MJ = 7), spermatogenic arrest (SA) (MJ 6–3), Sertoli cell-only phenotype (SCOP) (MJ = 2), and tubular fibrosis (TF) (MJ = 1). 9 , 10 Representative histological images for each MJ score category were captured at 400× magnification and presented in Figure 1 . Table 1. Modified Johnsen score for assessment of spermatogenesis. 1 Score Level of spermatogenesis 1 No seminiferous epithelium, prominent sclerosis 2 Only Sertoli cells present 3 Spermatogonia present without other element of spermatogenesis 4 Spermatogenesis arrested at the level of primary spermatocyte 5 Many spermatocytes, no sperm or spermatids 6 Only few early spermatids without late spermatids or spermatozoa 7 No late spermatids and sperm; many early spermatids 8 Reduced number of sperm with less than 5 spermatozoa per tubules and a few late spermatids 9 Incomplete spermatogenesis with many late spermatids 10 Full spermatogenesis Figure 1. Histological representation of modified Johnsen scoring system on human testicular tissue. This image depicts a histological section of human testicular tissue evaluated using MJ scoring system. The scoring system assesses spermatogenic activity based on the arrangement and presence of different cell types within the seminiferous tubules. A. Score 9: Complete spermatogenesis with a dense layer of spermatozoa filling the tubule lumen. The tubule shows regular spermatogenic activity with all stages of germ cell development, including spermatogonia, spermatocytes, spermatids, and spermatozoa. B. Score 8: Complete spermatogenesis with spermatozoa present but in reduced density compared to score 9. C. Score 7: Presence of spermatids and earlier germ cell stages, but no spermatozoa observed in the tubule lumen. D. Score 6: Presence of spermatocytes and earlier germ cell stages, but no spermatids or spermatozoa. E. Score 5: Presence of spermatogonia only, without progression to more advanced stages of spermatogenesis. F. Score 4: Sertoli cells and very few spermatogonia, with no active spermatogenesis. G. Score 3: Only Sertoli cells are observed in the seminiferous tubules; all germ cells are absent. This is referred to as Sertoli-cell-only Phenotype. H. Score 2: Tubules contain minimal structures and show signs of degeneration, with severely atrophic features. Sertoli cells may be present, but germ cells are absent. I. Score 1: Complete fibrosis of the seminiferous tubules. Both germ cells and Sertoli cells are absent, indicating end-stage testicular damage. Sertoli Cells (Ser): Supporting somatic cells, identified by their elongated nuclei. Spermatogonia (Spg): Basally located germ cells involved in the initiation of spermatogenesis. Primary Spermatocytes (Spt): Larger cells undergoing meiotic division, positioned centrally within the tubule. Spermatids (Spd): Small, round cells indicative of advanced stages of spermatogenesis. Spermatozoa (Spz): Mature germ cells aligned along the lumen of the tubule. * Empty cell in seminiferous tubules. Figure 2. Hormonal profile levels in different histopathological groups. Study variables Clinical and laboratory parameters evaluated included body mass index (BMI), Glycated hemoglobin (HbA1c), FSH, LH, and testosterone levels. BMI was calculated from recorded weight and height. HbA1c was considered normal below 5.7%. 11 Hormone reference ranges were: FSH (1.5–12.4 mIU/mL), LH (2–9 IU/L), and testosterone (2.49–8.36 ng/mL). These variables were analyzed for their potential correlation with histopathological findings. Blood collection and analysis Clinical and laboratory testing were done before the procedure and analyzed to evaluate its relationship with the histopathological results. Venous blood samples were obtained from all patients prior to the testicular biopsy procedure using standard sterile techniques. Blood was collected into serum separator tubes (SST) for hormonal assays (FSH, LH, testosterone) and EDTA tubes for HbA1c analysis. Serum samples were allowed to clot at room temperature, then centrifuged at 3000 rpm for 10 minutes. The serum was aliquoted into labeled cryotubes and stored at –20°C for short-term or –80°C for long-term preservation until analysis. EDTA samples for HbA1c were stored at 4°C and analyzed within 24 hours. Hormonal assays were conducted in an accredited clinical laboratory using standard immunoassays. The normal reference ranges used were: FSH (1.5–12.4 mIU/mL), LH (2–9 IU/L), and testosterone (2.49–8.36 ng/mL). HbA1c values below 5.7% were considered normal. 10 All laboratory tests followed internal and external quality control standards to ensure reliability and reproducibility. BMI was calculated and recorded as continuous data. Metabolic markers including lipid profiles were also assessed to evaluate their association with histopathological outcomes. Statistical analysis The data were statistically analyzed using IBM SPSS Statistics version 29.0.2.0. They were analyzed by type using the Chi-square test, multinomial logistic regression, and ANOVA test, as applicable. For multinomial outcomes, multinomial logistic regression was applied to identify associations between histopathological patterns and hormonal levels. A p-value of <0.05 was considered statistically significant. All tests were two-tailed. Results A total of 409 testicular biopsy cases from bilateral testicular biopsies were performed. The mean age of patients was 36±6.7 years, ranging from 19 to 69 years. All of the included patients can be seen in Table 2 . All the cases were categorized according to the histopathological categories mentioned in Table 3 . Nearly half of the histological pattern was Spermatogenic Arrest (49.6%), followed by HS, seen in 20% of cases. However, according to individual MJ scores, the most common score is MJ score 2 (Only Sertoli cells present), followed by MJ score 5 (Many spermatocytes, no sperm or spermatids). There was a significant difference in sperm found during the procedure from TF (MJ 1) to SA (MJ 6–3) ( p =<0.001) but not HS (MJ 7) ( p =0.5), showing varying degrees of sperm retrieval probability, with odds ratios progressively decreasing as pathology severity increases. There were 76 patients (18.5%) who showed a discordant pattern. Table 2. Characteristics of the included patients. Parameters Total N=409 (%) TF N=30 (7.3%) SCOP N=51 (12.5%) SA N=203 (49.6%) HS N=82 (20%) NS N=10.5% Age (years) (Mean±SD) 36.74±6.78 34.83±4.34 35.10±5.95 36.71±6.47 38.39±8.77 37.05±5.64 BMI (kg/m 2 ) 28.16±5.91 27.74±5.16 26.73±5.19 28.78±6.30 27.49±5.05 28.72±6.72 HbA1c (%) 5.87±4.10 5.10±0.45 6.89±0.56 4.67±0.58 5.51±1.24 5.23±1.55 FSH (mIU/mL) 16.98±13.62 25.66±16.20 25.93±18.10 17.87±12.55 10.32±7.78 8.26±5.43 LH (IU/mL) 8.63±5.95 12.23±6.82 10.53±7.17 9.17±6.01 6.10±3.84 5.92±3.53 Testosteron (ng/mL) 4.00±3.01 3.61±2.83 4.16±2.73 4.01±3.41 3.96±2.55 4.09±2.14 Microdeletion AZFa 13 1 3 5 2 2 AZFb 4 0 1 3 0 0 AZFc 4 0 1 3 0 0 Multiple Deletion 3 1 1 1 0 0 Sperm Retrieval Rate (%) 33.0% 10.0% 2% 12.2% 83.7% 90.7% Table 3. Histopathological and MJ score classification of testicular biopsies with association analyses to sperm retrieval outcomes (n=409). Johnsen score Histopathological classification No. of cases % OR of sperm found (95% CI) p -value 8 Normal spermatogenesis 43 10.5 1.00 7 Hypospermatogensis 82 20.0 0.54 (0.17–1.78) 0.5 6 Spermatogenic Arrest 51 12.5 0.02 (0.01–0.07) <0.001 5 68 16.6 0.01 (0.00–0.05) <0.001 4 46 11.2 0.13 (0.00–0.05) <0.001 3 38 9.3 0.01 (0.00–0.03) <0.001 2 Sertoli cell only Phenotype 51 12.5 0.01 (0.00–0.02) <0.001 1 Tubular Fibrosis 30 7.3 0.01 (0.00–0.05) <0.001 Key variables such as age, BMI, HbA1c, FSH, LH, and testosterone levels were compared across histopathological pattern groups, showed in Table 4 and Figure 2 . Although no significant differences were observed in age, BMI, HbA1c, or testosterone levels ( p =>0.05 for all), FSH and LH levels varied significantly among groups ( p =<0.001). NS and HS exhibited high sperm retrieval rates (SRR), at 93.1% and 88.5%, respectively. In contrast, the rates for SA, SCOP, and TF were significantly lower, with the latter two conditions showing rates as low as 2.1% and 10%, respectively ( p =<0.001). The prevalence of microdeletions in the AZF region of the Y chromosome was low across all groups, with no significant ( p =0,8) association between specific deletion patterns and histopathological classifications. Patients with TF and SCOP demonstrated the highest median FSH levels (28 and 28.1 mIU/mL, respectively), indicative of more severe spermatogenic dysfunction. Similarly, these groups had significantly ( p =<0.001) elevated LH levels compared to other groups. On the other hand, HS showed the closest to normal median values regarding FSH and LH levels of 7.1(2–31) mIU/mL and 5.4 (2–17.4) IU/mL, respectively. Table 4. Relationship between clinical parameters and histopathological patterns. Total n: 174 TF SCOP SA HS NS p -value * N (%) 16 (9.1) 29 (16.6) 80 (45.9) 36 (20.6) 13 (7.4) Age (years) 34 (30–42) 33 (27–50) 37.5 (26–58) 35.5 (25–61) 37 (27–42) 0.23 a BMI kg/m 2 26.4 (21.25–38.7) 25.5 (19.6–37.2) 27 (19.3–48.3) 26.3 (20–36) 31 (20–44) 0.14 a SRR (%) 10 2.1 12.8 88.5 93.1 <0.001 b HbA1c (%) 5.2 (4.2–5.7) 5.3 (4.2–38) 5.2 (4–34) 5.5 (4.1–12.1) 5.5 (4.2–12.5) 0.15 a Microdeletion * 0.8 a AZFa 1 2 5 1 2 AZFb 0 1 3 0 0 AZFc 0 1 2 0 0 Multiple deletion 1 1 1 0 0 FSH (mIU/mL) 28 (0.2–57.3) 28.1 (2.6–67.7) 20.3 (0.3–68.4) 7.1 (2–32) 8.3 (3.6–32.2) <0.001 a LH (IU/mL) 10 (0.3–28.4) 11.6 (1.4–43.9) 8.8 (0.1–32.6) 5,4 (2–17.4) 5.6 (1.8–13.8) <0.001 a Testosterone (ng/mL) 3.4 (0.3–33.5) 5.6 (0–56.7) 4.3 (0–76.5) 4.4 (0–71) 4.7 (0–63.9) 0.53 a a ANOVA, b Analyze with Chi-square, * Significant if p -value <0.05. Discussion The prevalence of male infertility and the associated histological findings in testicular biopsies vary markedly across different regions of the world, influenced by various etiological factors, including social practices, lifestyle, genetic predispositions, and environmental conditions such as infections, chemical exposure, radiation, and heat exposure. 8 , 9 This study aimed to evaluate histopathological patterns in testicular biopsies of azoospermic men and assess their correlation with clinical and hormonal parameters. The main finding reveals that spermatogenic arrest was the most prevalent histopathological pattern, with significant associations observed between hormonal levels—particularly FSH and LH—and tissue findings. A testicular biopsy is the primary diagnostic procedure for all testicular-related infertility issues. 12 This is not the sole parameter for assessing testicular histopathology patterns; however, it is the most robust predictor of the likelihood of detecting sperm in the testis for therapeutic sperm retrieval in assisted reproductive techniques. 13 Moreover, testicular biopsy is crucial in assessing men at risk for carcinoma in situ or testicular cancer, including individuals with idiopathic infertility, a history of cryptorchidism, previous testicular neoplasia, or the presence of concerning clinical or radiological findings such as a nodule or microlithiasis. 14 A testicular biopsy may be conducted under local or general anesthesia and can involve either a transcutaneous needle approach or open biopsies from one or multiple sites. Patients with NOA would undergo TESE/micro-TESE under general anesthesia in our practice, depending on the size and previous testicular procedure. During this procedure, the aim is to take samples for sperm retrieval and histopathological examinations at the same time, thus able to move on with ART and evaluate histological changes in the testis if no sperm was found. Due to the variability of lesions between testes and the prevalence of heterogeneous pathological patterns, it is advisable to perform bilateral testicular biopsies in the evaluation of male infertility. 9 , 15 – 18 Various pathological patterns in other international studies are summarized in Table 5 . Hypo spermatogenesis is primarily found in our results of 82 cases (20%), similar to other studies before of between 16.7 to 29.4%. 9 , 16 , 19 – 25 However, other studies have much smaller findings of 6.6 to 13%. 17 , 20 , 26 and much more significant findings of 41.6 to 55.8%. 19 , 25 A proportional reduction in the quantities of spermatogonia and primary spermatids characterizes hypo spermatogenesis. In other words, all components of spermatogenesis are present but diminished in quantity. 15 Hypo spermatogenesis may clinically correlate with hormonal dysregulation, congenital germ cell deficiency, androgen insensitivity, chemical exposure, and exposure to heat and radiation. 27 The variation among studies can be attributed to the differing criteria in patient selection for biopsies. Certain centers reserve testicular biopsies exclusively for patients with azoospermia, whereas others conduct testicular biopsies for patients with either azoospermia or oligospermia. The present study involved testicular biopsy for patients diagnosed with azoospermia. Table 5. Testicular morphologic patterns in other international studies. Author No. of subject Country Procedure Year Histopathological patterns n (%) TF SCOP SA HS NS Meinhard et al 19 100 UK TESE 1973 4 (4%) 15 (15%) 46 (46%) 29 (29%) 5 (5%) Haddad FH et al 30 545 Jordan FNA 1990 – 1995 & 1997 – 2000 155 (28.4) 16 (2.9%) 9 (1.7%) 304 (55.8%) 61 (11.2%) Abdullah L et al 16 100 Saudi Arabia N/A 2004 – 2010 14 (14%) 16 (16%) 12 (12%) 29 (29%) 13 (13%) Mushtaq et al 9 53 Pakistan N/A 2011 – 2013 4 (7.54%) 16 (30.18) 8 (15%) 10 (18.86%) 9 (16.78%) Čamdžić N et al 17 219 Bosnia N/A 2015 – 2023 16 (7.3%) 128 (58.4) 10 (4.6%) 15 (6.8%) 13 (6%) Allebawi SAH et al 29 180 Iraq N/A 2020 – 2024 18 (10%) 54 (30%) 84 (46.67%) N/A 24 (13.3%) Rashed MM et al 20 50 Egypt TESE 2004 – 2006 3 (6%) 17 (34%) 14 (28%) 4 (8%) 12 (24%) Colgan et al 21 142 Canada TESE 1971 – 1979 N/A 17 (12%) 15 (10,6%) N/A 29 (20.4%) Al-Rayess MM et al 26 230 Saudi Arabia N/A 1987 – 1996 12 (5%) 26 (16%) 25 (11%) 30 (13%) 72 (31%) Siadati S et al 25 924 Iran N/A 1990 – 2013 52 (6.5%) 308 (38.7%) 132 (16.6%) 133 (16.7%) 161 (20.3%) Brannen GE et al 23 48 USA N/A 1971 – 1977 6 (12.5%) 6 (12.5%) 6 (12.5%) 13 (27%) 17 (35.4%) Jamal AA et al 24 164 Saudi Arabia N/A 1990 – 2000 N/A N/A 11 (7%) 41 (25%) 10 (12%) Seo JT et al 31 178 Korea TESE 1996 – 1999 N/A 80 (44.9%) 24 (13.5%) 74 (41.6%) N/A Amin A et al 22 34 Iran FNA 2 years 2 (5.9%) 15 (44.1%) 7 (20.6%) 10 (29.4%) N/A SA is defined as an obstruction in the maturation process of spermatids, resulting in the absence of mature spermatozoa. Affected tubules typically halt at the primary spermatocyte or spermatogonia stage. Clinically, numerous underlying etiologies exist for SA. The arrest may be attributed to genetic factors or external influences. 20 Genetic etiologies encompass trisomy, balanced autosomal anomalies (such as translocations and inversions), or deletions on the Y chromosome (Yq11). 28 Secondary causes encompass excessive consumption of alcohol or other toxic agents, chronic marijuana use, cytotoxic chemotherapy, and hypogonadotropic hypogonadism. 15 The prevalence of SA (accumulation of MJ score 6–3) in this study was 49.5% (203 cases), similar to findings by Meinhard et al. 19 in the UK and Allebawi SAH et al. 29 in Iraq; these results are much higher than international results of between 1.7 to 28%. 9 , 16 , 17 , 20 – 26 , 30 , 31 This study identified 51 cases (12.5%) of SCOP. This finding aligns closely with five additional studies 16 , 19 , 21 , 23 , 26 that reported analogous figures. Only one study by Haddad FH et al. reported a lower number of SCOP of 2,9%. 30 While other studies reported higher results of between 30,18 and 58,4%. 9 , 17 , 20 , 22 , 25 , 29 , 31 The disparity in the incidence of SCOP among our study and various international studies remains inadequately elucidated. SCOP should exclusively refer to a consistent pattern in which no germ cells are observed in any profile. Sertoli cell-only Phenotype is an irreversible condition that may be linked to various underlying disorders. These encompass cryptorchidism, orchitis, post-radiation or chemotherapy effects, estrogen or androgen therapy, and chronic hepatopathology as contributing factors. 15 Recent studies have implicated structural abnormalities of the Y chromosome, mainly deletions of the human azoospermia factor (AZF) gene on the long arm of chromosome Y, as the primary cause of impaired spermatogenesis and azoospermia. 28 Tubular Fibrosis was observed in 30 cases (7,3%). Comparable findings were reported by Meinhard et al., 19 Mushtaq et al., 9 Čamdžić N et al., 17 Allebawi SAH et al., 29 Rashed MM et al., 20 Siadati S et al., 25 and Amin A et al. 22 In contrast, higher incidences were documented by Haddad FH et al., 30 Abdullah L et al., 16 and Brannen GE et al. 23 of around (12.5–28.4%). The cause of the discrepancy in the incidence of TF remains unknown; however, variations in biopsy selection criteria among different urologists within the same institution and across various centers contribute to this issue. Another study from Nigeria suggested that prior inflammatory processes, such as previous orchitis, may contribute to the etiology of this condition. 32 Conditions such as SCOP and TF exhibit drastically reduced odds for sperm retrieval, with their OR approaching zero. These findings reflect the severity of testicular dysfunction associated with these pathologies. A meta-analysis by Yuen W et al. has found higher SRR in patients with SCOP, as high as 47%. 33 The current study showed a significantly lower SRR of 2,1% in patients with SCOP. This difference might be because of the studies included in the meta-analysis, which consist of small sample studies with mainly AZFc microdeletions with SRR rates of 13–100%. 33 Intermediate conditions, including SA and HS, demonstrate moderate odds of sperm retrieval, suggesting that partial spermatogenic activity may still provide avenues for successful outcomes in some cases. This result for SA is lower compared to a study by Mehmood S et al. 34 (current study: 12.8 vs 32.43%), however the HS pattern is similar (current study: 88.5 vs 89.7%). Several factors might contribute to this difference, such as no further differentiation between early and late MA, variability in testicular Sertoli cell and Leydig cell support, as well as germ cell apoptosis, which can impact the likelihood of successful sperm retrieval, 35 and the number and distribution of biopsy samples taken can significantly affect SRR. 36 The statistical analysis underscores the significance of histopathological findings in clinical decision-making. The strong association between pathology type and retrieval outcomes provides a framework for predicting patient prognosis and optimizing treatment strategies. This data reaffirms the importance of precise histopathological evaluation as a cornerstone of male infertility management. The difference in SRR between our study and Ozman et al.’s highlights the significant impact of patient population characteristics and underlying causes of NOA. Our study focused on first-time micro-TESE procedures, which likely included a broader spectrum of NOA cases, encompassing more severe spermatogenic failures, such as SA and SCOP. In contrast, Ozman et al. studied repeat micro-TESE, targeting a population enriched with patients who may have better prognostic features due to prior surgical experience and findings. 37 For example, favorable outcomes were observed in Klinefelter’s syndrome (50% SRR) and idiopathic NOA (17.4% SRR) in Ozman et al.’s cohort, suggesting these groups retained residual spermatogenic potential even after a failed initial procedure. However, less favorable etiologies, such as Y microdeletions (20% SRR) and cryptorchidism (18.1% SRR), also contributed to variability in their results. These distinctions emphasize the critical role of the underlying cause of NOA in determining outcomes, as well as the impact of patient selection and procedural history. When comparing SRR between studies, it is essential to consider differences in patient populations, as they reflect biological variability and guide tailored counseling and expectations for success in procedures. A study by Jarvis S et al. showed that testicular fine-needle aspiration (FNA) mapping after failed m-TESE detected sperm in 29.3% of cases, with guided retrieval achieving 100% success, including freezing surplus sperm in 66.7% of patients. This testis-sparing approach identified sperm primarily in peripheral regions, bypassing reliance on visual cues and minimizing extensive surgical procedures like repeated m-TESE. 37 FSH and LH levels were notably elevated in patients with TF and SCOP, indicative of significant spermatogenic dysfunction. Median FSH levels for these groups were 28 mIU/mL and 28.1 mIU/mL, respectively, compared to much lower levels in patients with NS or HS. According to a study by Kavoussi PK et al., 38 statistically significant higher FSH (more than 22.9±16.6 IU/L) was found in patients with unfavorable (SCOP pattern and early maturation arrest) histopathological patterns compared to a lower FSH level of 13.3±12.0 IU/L in favorable patterns (late maturation arrest and HS). In addition, median LH was also significantly higher in TF and SCOP of (10 IU/mL and 11,6 IU/mL), respectively, as compared to SA, HS, and NS. This suggests a disruption in the feedback mechanisms between the testis and the hypothalamus-pituitary axis, negatively correlated with spermatogenic function. 38 Elevated LH levels are further associated with Leydig cell hyperplasia and reduced testosterone levels, reinforcing these endocrine markers’ diagnostic and prognostic value. 39 These hormones are valuable biomarkers in diagnosing and predicting the severity of male infertility based on testicular histopathology. Nonetheless, testosterone may still offer supportive diagnostic value when interpreted alongside gonadotropins. When interpreted collectively, these hormonal markers can serve as valuable non-invasive indicators of spermatogenic status. An FSH threshold above 22 mIU/mL may reliably predict unfavorable histological outcomes, offering potential utility as a screening tool for identifying candidates with a low likelihood of successful sperm retrieval. 38 This study underscores the clinical relevance of integrating histopathological and hormonal findings in the management of azoospermic men. Testicular biopsy, combined with FSH and LH profiling, provides a robust framework for counseling patients regarding their realistic prospects with assisted reproductive technologies (ART). 39 Identifying severe histological patterns such as Sertoli cell-only phenotype or tubular fibrosis—especially when accompanied by elevated FSH—can help avoid unnecessary repeat interventions. By incorporating hormonal thresholds into pre-biopsy screening, clinicians may more effectively stratify candidates for micro-TESE, improving timing and patient selection while potentially reducing the need for invasive procedures in those with minimal retrieval potential. 38 , 40 These findings have practical implications for clinical protocols in resource-limited settings, where access to advanced reproductive technologies may be limited. By integrating hormonal profiling—particularly FSH and LH levels—with histopathological assessment, clinicians can more effectively triage patients for invasive procedures like micro-TESE. Establishing hormone-based thresholds as non-invasive predictors of unfavorable pathology could reduce unnecessary surgeries, optimize resource allocation, and support more personalized counseling, ultimately improving care quality and cost-effectiveness in low-resource healthcare environments. 40 This study possesses several notable strengths, making it a valuable contribution to the field of male infertility research. A large sample size of 409 testicular biopsies provides robust statistical power and reliable findings. Additionally, its emphasis on bilateral testicular biopsies improves diagnostic accuracy by addressing histopathological discrepancies between testes. By situating its findings within data from Indonesia and international studies, the research enhances understanding of global histopathological variations while addressing the Indonesian population’s unique demographic and healthcare challenges. These strengths underscore the study’s clinical relevance in guiding patient counseling, treatment planning, and improving outcomes in male infertility management. On the other hand, there are some limitations regarding this study. Firstly, the study relies on retrospective data, which may introduce bias and limit the ability to establish causality. Secondly, we only encounter a few patients with Y-chromosome microdeletions; therefore, we cannot evaluate this population further. These abnormalities might significantly affect the hormonal profile 40 and SRR 41 in azoospermic patients. While this is the largest study in Indonesia, data from 2 hospital might not be a true representative of the entire population. The retrospective nature also introduced specific biases although this is not a major issue in this correlational study. x Future research should consider prospective, multicenter studies to improve population representation and allow for controlled evaluation of causative factors. Genetic screening, including Y-chromosome microdeletion analysis, should be incorporated to better understand its impact on histopathological patterns and hormonal profiles. Conclusion The study on testicular biopsies in azoospermic men within an Indonesian cohort highlights the intricate relationship between histopathological findings and fertility potential. Elevated FSH and LH levels were strongly associated with severe spermatogenic dysfunction, particularly in SCOP and TF cases. The study underscores the importance of precise histopathological evaluations in optimizing fertility treatment outcomes and provides valuable insights into Indonesia’s unique demographic and healthcare context. Data availability Underlying data Data supporting the findings of this study are available upon reasonable request from the corresponding author (Ponco Birowo, email: [email protected] ) due to ethical restrictions. The data include de-identified clinical, laboratory, and histopathological parameters of patients with non-obstructive azoospermia. Access to the data will be granted following institutional data protection regulations and upon obtaining necessary ethical approvals. Extended data No publicly available extended data are currently associated with this study. Supplementary materials such as the histopathological scoring table, blank consent form, or study protocols can be provided upon reasonable request to the corresponding author (Ponco Birowo, email: [email protected] ). Data sharing is subject to institutional data protection policies and requires prior ethical approval. Acknowledgments The authors would like to thank the Faculty of Medicine, Universitas Indonesia, for their support in conducting this study. References 1. WHO: Infertility Prevalence Estimates, 1990-2021. 2023; 1st ed. Geneva: World Health Organization: p. 1. 2. Cocuzza M, Alvarenga C, Pagani R: The epidemiology and etiology of azoospermia. Clinics. 2013; 68 :15–26. PubMed Abstract | Publisher Full Text | Free Full Text 3. Basukarno A, Birowo P, Rasyid N: ETIOLOGY OF MALE INFERTILITY IN JAKARTA.Indones J. Urol.2016 Sept 7 [cited 2025 Dec 4]; 23 (2). Publisher Full Text https://juri.urologi.or.id/juri/article/view/251 4. Esteves SC, Prudencio C, Seol B, et al. : Comparison of sperm retrieval and reproductive outcome in azoospermic men with testicular failure and obstructive azoospermia treated for infertility. Asian J. Androl. 2014; 16 (4):602–606. PubMed Abstract | Publisher Full Text | Free Full Text 5. Hubbard L, Rambhatla A, Colpi GM: Differentiation between nonobstructive azoospermia and obstructive azoospermia: then and now. Asian J. Androl. 2025 May; 27 (3):298–306. PubMed Abstract | Publisher Full Text | Free Full Text 6. Achermann APP, Pereira TA, Esteves SC: Microdissection testicular sperm extraction (micro-TESE) in men with infertility due to nonobstructive azoospermia: summary of current literature. Int. Urol. Nephrol. 2021 Nov; 53 (11):2193–2210. PubMed Abstract | Publisher Full Text 7. Cerilli LA, Kuang W, Rogers D: A Practical Approach to Testicular Biopsy Interpretation for Male Infertility. Arch. Pathol. Lab. Med. 2010 Aug 1; 134 (8):1197–1204. PubMed Abstract | Publisher Full Text 8. Holstein AF, Schulze W, Davidoff M: Understanding spermatogenesis is a prerequisite for treatment. Reprod. Biol. Endocrinol. 2003 Nov 14; 1 (1):107. PubMed Abstract | Publisher Full Text | Free Full Text 9. Mushtaq H, Alam S, Ahmad KM: Histopathological Patterns of Testicular Biopsies in Male Infertility. J. Islamabad Med. Dent. Coll. 2013; 2 (4):81–86. 10. Teixeira TA, Pariz JR, Dutra RT, et al. : Cut-off values of the Johnsen score and Copenhagen index as histopathological prognostic factors for postoperative semen quality in selected infertile patients undergoing microsurgical correction of bilateral subclinical varicocele. Transl. Androl. Urol. 2019 Aug; 8 (4):346–355. PubMed Abstract | Publisher Full Text | Free Full Text 11. Lin W: The Association between Body Mass Index and Glycohemoglobin (HbA1c) in the US Population’s Diabetes Status. Int. J. Environ. Res. Public Health. 2024 Apr 23; 21 (5):517. PubMed Abstract | Publisher Full Text | Free Full Text 12. Huang B, Wang Z, Kong Y, et al. : Global, regional and national burden of male infertility in 204 countries and territories between 1990 and 2019: an analysis of global burden of disease study. BMC Public Health. 2023 Nov 8; 23 (1):2195. PubMed Abstract | Publisher Full Text | Free Full Text 13. Mangum CL, Patel DP, Jafek AR, et al. : Towards a better testicular sperm extraction: novel sperm sorting technologies for non-motile sperm extracted by microdissection TESE. Transl. Androl. Urol. 2020 Mar; 9 (S2):S206–S214. PubMed Abstract | Publisher Full Text | Free Full Text 14. Frandsen RH, Durukan E, Von Rohden E, et al. : Testicular biopsies in men with testicular microlithiasis and additional risk factors for cancer: A case series. Andrology. 2024 Nov; 12 (8):1764–1770. PubMed Abstract | Publisher Full Text 15. Nistal M, Paniagua R: TESTICULAR BIOPSY. Urol. Clin. North Am. 1999 Aug; 26 (3):555–593. Publisher Full Text 16. Abdullah L, Bondagji N: Histopathological patterns of testicular biopsy in male infertility: A retrospective study from a tertiary care center in the western part of Saudi Arabia. Urol. Ann. 2011; 3 (1):19–23. PubMed Abstract | Publisher Full Text | Free Full Text 17. Čamdžić N, Muzika V, Čustović S, et al. : Histological patterns of testicular biopsy in patients with azoospermia: single-institution experience. Acta. Marisiensis - Ser Medica. 2023 Dec 1; 69 (4):252–255. Publisher Full Text 18. Albasri AM, Hussainy AS: Histopathological pattern of testicular diseases in western Saudi Arabia. Saudi Med. J. 2018 May; 39 (5):476–480. PubMed Abstract | Publisher Full Text | Free Full Text 19. Meinhard E, McRae CU, Chisholm GD: Testicular Biopsy in Evaluation of Male Infertility. BMJ. 1973 Sept 15; 3 (5880):577–581. PubMed Abstract | Publisher Full Text | Free Full Text 20. Rashed M, Ragab N, Shalaby A, et al. : Patterns of Testicular Histopathology in Men with Primary Infertility. Int. J. Urol. 2008; 5 (2):1–5. Publisher Full Text 21. Colgan TJ, Bedard YC, Strawbridge HTG, et al. : Reappraisal of the Value of Testicular Biopsy in the Investigation of Infertility. Fertil. Steril. 1980 Jan; 33 (1):56–60. PubMed Abstract | Publisher Full Text 22. Amin A, Monabati A, Tadayon A, et al. : Testicular Fine Needle Aspiration Cytology in Male Infertility. Acta. Cytol. 2006; 50 (2):147–150. Publisher Full Text 23. Brannen GE, Roth RR: Testicular Abnormalities of the Subfertile Male. J Urol. 1979 Dec; 122 (6):757–762. Publisher Full Text 24. Jamal AA, Mansoor I: Morphological profile of testicular biopsies associated with infertility. Saudi Med. J. 2001 Nov; 22 (11):992–994. PubMed Abstract 25. Siadati S, Shafi H, Ghorbani H: Testicular Biopsy in Males With Infertility: A Longitudinal Study. Iran J. Pathol. 2017; 12 (2):177–182. PubMed Abstract | Publisher Full Text | Free Full Text 26. Al-Rayess MM, Al-Rikabi AC: Morphologic patterns of male infertility in Saudi patients. A University Hospital experience. Saudi Med. J. 2000 July; 21 (7):625–628. PubMed Abstract 27. Greenhall E, Vessey M: The prevalence of subfertility: a review of the current confusion and a report of two new studies. Fertil. Steril. 1990 Dec; 54 (6):978–983. PubMed Abstract | Publisher Full Text 28. Carrara RCV, Yamasaki R, Mazucatto LF, et al. : Somatic and germ cell cytogenetic studies and AZF microdeletion screening in infertile men. Genet. Mol. Biol. 2004; 27 (4):477–482. Publisher Full Text 29. Allebawi SAH, Al-Janabi AAH: Evaluation of histopathological patterns of testicular biopsies in azoospermic patients: A study of 3 years in Al-Najaf Center. Med. J. Babylon. 2024 Jan; 21 (1):79–84. Publisher Full Text 30. Haddad FH, Omari AA, Malkawi OM, et al. : Patterns of Testicular Cytology in Men with Primary Infertility. Acta. Cytol. 2004; 48 (6):807–812. PubMed Abstract | Publisher Full Text 31. Seo JT, Ko W: Predictive factors of successful testicular sperm recovery in non-obstructive azoospermia patients. Int. J. Androl. 2001 Oct 21; 24 (5):306–310. PubMed Abstract | Publisher Full Text 32. Thomas JO: Histological pattern of testicular biopsies in infertile males in Ibadan. Nigeria. East Afr. Med. J. 1990 Aug; 67 (8):578–584. PubMed Abstract 33. Yuen W, Golin AP, Flannigan R, et al. : Histology and sperm retrieval among men with Y chromosome microdeletions. Transl. Androl. Urol. 2021 Mar; 10 (3):1442–1456. PubMed Abstract | Publisher Full Text | Free Full Text 34. Mehmood S, Aldaweesh S, Junejo N, et al. : Microdissection testicular sperm extraction: Overall results and impact of preoperative testosterone level on sperm retrieval rate in patients with nonobstructive azoospermia. Urol. Ann. 2019; 11 (3):287–293. PubMed Abstract | Publisher Full Text | Free Full Text 35. Kim SK, Yoon YD, Park YS, et al. : Involvement of the Fas–Fas ligand system and active caspase-3 in abnormal apoptosis in human testes with maturation arrest and Sertoli cell–only syndrome. Fertil. Steril. 2007 Mar; 87 (3):547–553. PubMed Abstract | Publisher Full Text 36. Noveski P, Popovska-Jankovic K, Kubelka-Sabit K, et al. : Micro RNA expression profiles in testicular biopsies of patients with impaired spermatogenesis. Andrology. 2016 Nov; 4 (6):1020–1027. PubMed Abstract | Publisher Full Text 37. Özman O, Tosun S, Bayazıt N, et al. : Efficacy of the second micro–testicular sperm extraction after failed first micro–testicular sperm extraction in men with nonobstructive azoospermia. Fertil. Steril. 2021 Apr; 115 (4):915–921. PubMed Abstract | Publisher Full Text 38. Kavoussi PK, Hudson K, Machen GL, et al. : FSH levels and testicular volumes are associated with the severity of testicular histopathology in men with non-obstructive azoospermia. J. Assist Reprod. Genet. 2021 Nov; 38 (11):3015–3018. PubMed Abstract | Publisher Full Text | Free Full Text 39. Liu Y, Wang G, Zhang F, et al. :Correlation between serum levels of reproductive hormones and testicular spermatogenic function in men with azoospermia.Andrologia.2022 Nov [cited 2025 Dec 4]; 54 (10): e14546. PubMed Abstract | Publisher Full Text 40. Yücel C, Keskin MZ, Kose C, et al. : Relationship between testicular histopathology and the success of testicular sperm extraction in patients with non-mosaic Klinefelter syndrome. Rev. Int. Andrología. 2021 Jan; 19 (1):9–15. Publisher Full Text 41. Jiao Z, Li M, Zhuo L, et al. : Sperm retrieval rate and patient factors in azoospermia factor c microdeletion azoospermia: a systematic review. BJU Int. 2024 July; 134 (1):6–12. PubMed Abstract | Publisher Full Text Comments on this article Comments (0) Version 2 VERSION 2 PUBLISHED 07 Jan 2026 ADD YOUR COMMENT Comment Author details Author details 1 Department of Urology, Universitas Indonesia Hospital, Depok, West Java, 16424, Indonesia 2 Doctoral Program in Medical Sciences Faculty of Medicine, Universitas Indonesia, Central Jakarta, Jakarta, 10430, Indonesia 3 Faculty of Medicine, Universitas Indonesia, Central Jakarta, Jakarta, 10430, Indonesia 4 Department of Urology, Cipto Mangunkusumo Hospital, Central Jakarta, Jakarta, 10430, Indonesia 5 Metabolic Disorder, Cardiovascular, and Aging Research Center, Indonesia Medical Education & Research Institute (IMERI), Faculty of Medicine, Universitas Indonesia, Central Jakarta, Jakarta, 10430, Indonesia 6 Community Medicine Department, Faculty of Medicine, Universitas Indonesia, Central Jakarta, Jakarta, 10430, Indonesia 7 Department of Medical Biology, Faculty of Medicine, Universitas Indonesia, Central Jakarta, Jakarta, 10430, Indonesia 8 Department of Urology, Princess Alexandra Hospital, University of Queensland, Brisbane, QLD, 4102, Australia 9 Indonesian Reproductive Science Institute, Bunda Hospital, Central Jakarta, Jakarta, 10350, Indonesia Dyandra Parikesit Roles: Conceptualization, Data Curation, Formal Analysis, Investigation, Methodology, Writing – Original Draft Preparation Armand Achmadsyah Roles: Data Curation, Formal Analysis, Investigation, Methodology, Writing – Original Draft Preparation Favian Ariiq Rahmat Roles: Data Curation, Formal Analysis, Investigation, Methodology, Writing – Original Draft Preparation Retta Catherina Sihotang Roles: Investigation, Methodology Heri Wibowo Roles: Methodology, Supervision, Writing – Review & Editing Aria Kekalih Roles: Formal Analysis, Methodology, Supervision, Writing – Review & Editing Luluk Yunaini Roles: Investigation, Methodology, Writing – Review & Editing Asmarinah . Roles: Investigation, Methodology, Supervision, Validation, Writing – Review & Editing Eric Chung Roles: Methodology, Validation, Writing – Review & Editing Ponco Birowo Roles: Conceptualization, Data Curation, Formal Analysis, Project Administration, Supervision, Validation, Writing – Review & Editing Competing interests No competing interests were disclosed. Grant information This work was supported by HIBAH PUTI 2024 Universitas Indonesia NKB-289/UN2.RST/HKP.05.00/2024. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Article Versions (2) version 2 Revised Published: 18 Mar 2026, 15:25 https://doi.org/10.12688/f1000research.166812.2 version 1 Published: 07 Jan 2026, 15:25 https://doi.org/10.12688/f1000research.166812.1 Copyright © 2026 Parikesit D et al . This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Download Export To Sciwheel Bibtex EndNote ProCite Ref. Manager (RIS) Sente metrics Views Downloads F1000Research - - PubMed Central info_outline Data from PMC are received and updated monthly. - - Citations open_in_new 0 open_in_new 0 open_in_new SEE MORE DETAILS CITE how to cite this article Parikesit D, Achmadsyah A, Rahmat FA et al. Uncovering fertility potential: Clinical and histopathological insights from testicular biopsies in azoospermic men in a large Indonesian cohort [version 1; peer review: 1 approved, 1 approved with reservations] . F1000Research 2026, 15 :25 ( https://doi.org/10.12688/f1000research.166812.1 ) NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS track receive updates on this article Track an article to receive email alerts on any updates to this article. TRACK THIS ARTICLE Share Open Peer Review Current Reviewer Status: ? Key to Reviewer Statuses VIEW HIDE Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Version 1 VERSION 1 PUBLISHED 07 Jan 2026 Views 0 Cite How to cite this report: Kobayashi H. Reviewer Report For: Uncovering fertility potential: Clinical and histopathological insights from testicular biopsies in azoospermic men in a large Indonesian cohort [version 1; peer review: 1 approved, 1 approved with reservations] . F1000Research 2026, 15 :25 ( https://doi.org/10.5256/f1000research.183856.r457414 ) The direct URL for this report is: https://f1000research.com/articles/15-25/v1#referee-response-457414 NOTE: it is important to ensure the information in square brackets after the title is included in this citation. Close Copy Citation Details Reviewer Report 16 Feb 2026 Hideyuki Kobayashi , Department of Urology, Toho University faculty of Medicine, Tokyo, Japan Approved with Reservations VIEWS 0 https://doi.org/10.5256/f1000research.183856.r457414 This manuscript presents a large retrospective cohort study evaluating histopathological patterns and hormonal profiles in azoospermic men undergoing bilateral testicular biopsy in Indonesia. The dataset of 409 cases represents an important regional contribution, and the emphasis on bilateral biopsy and ... Continue reading READ ALL This manuscript presents a large retrospective cohort study evaluating histopathological patterns and hormonal profiles in azoospermic men undergoing bilateral testicular biopsy in Indonesia. The dataset of 409 cases represents an important regional contribution, and the emphasis on bilateral biopsy and sperm retrieval rate (SRR) adds clinical relevance. However, several methodological and interpretative issues should be addressed before the manuscript can be considered for approval. Major comments High proportion of spermatogenic arrest (SA) The reported prevalence of spermatogenic arrest (approximately 49–50%) appears substantially higher than that described in most previously published cohorts, where SA generally ranges between 10% and 30%. In the present study, Modified Johnsen (MJ) scores 6–3 are collectively categorized as SA. This broad classification likely encompasses both early and late maturation arrest, which are biologically and prognostically distinct entities. Subclassification of SA into early (arrest at primary spermatocyte level) and late (arrest at round spermatid stage) maturation arrest is strongly recommended. These subtypes are known to have different sperm retrieval rates and may explain the relatively low overall SRR (approximately 12%) observed in this SA group. Without this distinction, comparison with international literature becomes challenging and may artificially inflate the SA proportion. The authors should clarify: Whether early and late maturation arrest were differentiated histologically. How many tubules were evaluated per biopsy. Whether interobserver variability was assessed. Lack of predictive modeling (ROC / Cut-off Analysis) While significant associations between FSH/LH levels and histopathological patterns are reported (p < 0.001), the manuscript remains largely correlational. For clinical applicability, it would be highly valuable to provide receiver operating characteristic (ROC) curve analysis to determine clinically meaningful cut-off values for predicting unfavorable histopathology or failed sperm retrieval. For example: What FSH threshold predicts SCOP/TF with acceptable sensitivity and specificity? Can LH independently predict severe pathology? What is the area under the curve (AUC) for these parameters? Including such analyses would substantially strengthen the translational value of the study. Multivariate analysis for sperm retrieval The manuscript reports multinomial logistic regression for histopathological classification; however, it is unclear whether hormonal parameters independently predict sperm retrieval after adjusting for histopathology. A multivariate logistic regression model evaluating independent predictors of SRR (including age, BMI, FSH, LH, testosterone, and histopathology) would significantly enhance the robustness of the findings. Currently, it is difficult to determine whether hormonal markers provide additional predictive value beyond biopsy results. Bilateral discordance analysis The authors report a discordant histopathological pattern in 18.5% of cases. This is an important finding, yet its clinical implications are not sufficiently explored. Specifically: What were the SRRs in discordant versus concordant cases? In discordant cases, was sperm retrieved preferentially from the more favorable side? How was discordance handled in statistical modeling? Further elaboration on these points would reinforce the argument supporting bilateral biopsy. Minor but important issues The mean age is reported as “366.7 years” in the Results section, which appears to be a typographical error. The claim of being the “largest dataset” in Indonesia should be cautiously phrased, as data were derived from two centers. HbA1c is included in the analysis but not meaningfully discussed; its relevance should be clarified or the variable reconsidered. Is the work clearly and accurately presented and does it cite the current literature? Yes Is the study design appropriate and is the work technically sound? Yes Are sufficient details of methods and analysis provided to allow replication by others? Yes If applicable, is the statistical analysis and its interpretation appropriate? Yes Are all the source data underlying the results available to ensure full reproducibility? Yes Are the conclusions drawn adequately supported by the results? Yes Competing Interests: No competing interests were disclosed. Reviewer Expertise: Male infertility I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Kobayashi H. Reviewer Report For: Uncovering fertility potential: Clinical and histopathological insights from testicular biopsies in azoospermic men in a large Indonesian cohort [version 1; peer review: 1 approved, 1 approved with reservations] . F1000Research 2026, 15 :25 ( https://doi.org/10.5256/f1000research.183856.r457414 ) The direct URL for this report is: https://f1000research.com/articles/15-25/v1#referee-response-457414 NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS Report a concern Author Response 18 Mar 2026 Ponco Birowo , Department of Urology, Cipto Mangunkusumo Hospital, Central Jakarta, 10430, Indonesia 18 Mar 2026 Author Response First of all, I thank you for reviewing our study. I would like to respond to the revisions noted by the reviewer: 1. High proportion of spermatogenic arrest (SA) and ... Continue reading First of all, I thank you for reviewing our study. I would like to respond to the revisions noted by the reviewer: 1. High proportion of spermatogenic arrest (SA) and subclassification into early/late maturation arrest: We thank the reviewer for this critical observation. We agree that grouping all SA cases (MJ 3–6) inflated our overall prevalence compared to international cohorts. Due to the retrospective nature of the historical pathology reports spanning 14 years, SA was initially categorized broadly without formal subclassification. However, to address this, we have now stratified the specific MJ scores in the Discussion section to differentiate the arrest stages. We clarified that only 12.5% of cases (MJ 6) represented late maturation arrest, while 27.8% (MJ 4 and 5) represented early arrest, and 9.3% (MJ 3) showed pre-meiotic arrest. We have also updated the Methods to clarify that, typically, 20 to 50 tubules are evaluated per biopsy. As we could not retrospectively calculate Cohen's Kappa for interobserver variability, we have explicitly stated this as a limitation. 2. Lack of predictive modeling (ROC / Cut-off Analysis): We greatly appreciate this suggestion to enhance the translational value of the study. We have now performed ROC curve analyses to determine the predictive value of FSH and LH for severe histopathology (SCOP and TF). For predicting SCOP, FSH demonstrated an AUC of 0.693 (p<0.001), with a clinical cut-off of 14.75 mIU/mL providing 78.4% sensitivity. For predicting Tubular Fibrosis, FSH demonstrated an AUC of 0.672 (p=0.003) with an optimal cut-off of 14.95 mIU/mL. These clinically meaningful cut-offs, along with their respective sensitivities and specificities, have been added to the Results and Discussion sections, and the ROC curves have been included as Figures 3 and 4. 3. Multivariate analysis for sperm retrieval: We thank the reviewer for this sugestion. We have conducted a multivariate logistic regression model (now included as Table 6) evaluating independent predictors of successful sperm retrieval, incorporating age, BMI, FSH, LH, testosterone, and histopathological classification. The analysis revealed that hormonal parameters, including FSH (p=0.747) and LH (p=0.074), were not independent predictors of sperm retrieval after adjusting for histopathology. The histopathological patterns (TF, SCOP, and SA) remained the sole independent predictors of retrieval failure (p<0.001 for all). We have updated the Results and Discussion to emphasize that endocrine profiling cannot replace the diagnostic accuracy of a testicular biopsy. 4. Bilateral discordance analysis: We agree that the 18.5% discordance rate is an important finding that supports bilateral biopsies. As noted in the Methods, in cases of discordance, the higher MJ score (the more favorable side) was used for statistical classification. Unfortunately, due to the extended retrospective nature of the surgical records, the specific laterality of successful sperm extraction was not consistently documented in the operative notes for these discordant cases. Consequently, we could not reliably calculate side-specific SRRs. We have added a sentence to the limitations section acknowledging this constraint. 5. The mean age is reported as “366.7 years”: We apologize for this typographical error. It has been corrected to "36 ± 6.7 years" in the Results section. 6. The claim of being the “largest dataset” in Indonesia should be cautiously phrased. We completely agree. We have revised the phrasing throughout the manuscript (including the Abstract and Limitations) to state that this is "one of the largest datasets" or a "substantial cohort," reflecting that the data was derived from two centers and may not represent the entire population. 7. HbA1c is included in the analysis but not meaningfully discussed. We appreciate the reviewer highlighting this. We have expanded the Discussion section to explicitly contextualize the HbA1c findings. We introduced the concept of the "metabolic paradox" in surgical sperm retrieval, explaining that while systemic HbA1c strongly impairs ejaculated sperm quality, it frequently fails to predict micro-TESE success because surgical retrieval bypasses the hostile post-testicular environment. We clarified that while our p-value was not significant (p=0.15), the data suggests HbA1c should not serve as a prognostic gatekeeper to deny surgical fertility interventions. First of all, I thank you for reviewing our study. I would like to respond to the revisions noted by the reviewer: 1. High proportion of spermatogenic arrest (SA) and subclassification into early/late maturation arrest: We thank the reviewer for this critical observation. We agree that grouping all SA cases (MJ 3–6) inflated our overall prevalence compared to international cohorts. Due to the retrospective nature of the historical pathology reports spanning 14 years, SA was initially categorized broadly without formal subclassification. However, to address this, we have now stratified the specific MJ scores in the Discussion section to differentiate the arrest stages. We clarified that only 12.5% of cases (MJ 6) represented late maturation arrest, while 27.8% (MJ 4 and 5) represented early arrest, and 9.3% (MJ 3) showed pre-meiotic arrest. We have also updated the Methods to clarify that, typically, 20 to 50 tubules are evaluated per biopsy. As we could not retrospectively calculate Cohen's Kappa for interobserver variability, we have explicitly stated this as a limitation. 2. Lack of predictive modeling (ROC / Cut-off Analysis): We greatly appreciate this suggestion to enhance the translational value of the study. We have now performed ROC curve analyses to determine the predictive value of FSH and LH for severe histopathology (SCOP and TF). For predicting SCOP, FSH demonstrated an AUC of 0.693 (p<0.001), with a clinical cut-off of 14.75 mIU/mL providing 78.4% sensitivity. For predicting Tubular Fibrosis, FSH demonstrated an AUC of 0.672 (p=0.003) with an optimal cut-off of 14.95 mIU/mL. These clinically meaningful cut-offs, along with their respective sensitivities and specificities, have been added to the Results and Discussion sections, and the ROC curves have been included as Figures 3 and 4. 3. Multivariate analysis for sperm retrieval: We thank the reviewer for this sugestion. We have conducted a multivariate logistic regression model (now included as Table 6) evaluating independent predictors of successful sperm retrieval, incorporating age, BMI, FSH, LH, testosterone, and histopathological classification. The analysis revealed that hormonal parameters, including FSH (p=0.747) and LH (p=0.074), were not independent predictors of sperm retrieval after adjusting for histopathology. The histopathological patterns (TF, SCOP, and SA) remained the sole independent predictors of retrieval failure (p<0.001 for all). We have updated the Results and Discussion to emphasize that endocrine profiling cannot replace the diagnostic accuracy of a testicular biopsy. 4. Bilateral discordance analysis: We agree that the 18.5% discordance rate is an important finding that supports bilateral biopsies. As noted in the Methods, in cases of discordance, the higher MJ score (the more favorable side) was used for statistical classification. Unfortunately, due to the extended retrospective nature of the surgical records, the specific laterality of successful sperm extraction was not consistently documented in the operative notes for these discordant cases. Consequently, we could not reliably calculate side-specific SRRs. We have added a sentence to the limitations section acknowledging this constraint. 5. The mean age is reported as “366.7 years”: We apologize for this typographical error. It has been corrected to "36 ± 6.7 years" in the Results section. 6. The claim of being the “largest dataset” in Indonesia should be cautiously phrased. We completely agree. We have revised the phrasing throughout the manuscript (including the Abstract and Limitations) to state that this is "one of the largest datasets" or a "substantial cohort," reflecting that the data was derived from two centers and may not represent the entire population. 7. HbA1c is included in the analysis but not meaningfully discussed. We appreciate the reviewer highlighting this. We have expanded the Discussion section to explicitly contextualize the HbA1c findings. We introduced the concept of the "metabolic paradox" in surgical sperm retrieval, explaining that while systemic HbA1c strongly impairs ejaculated sperm quality, it frequently fails to predict micro-TESE success because surgical retrieval bypasses the hostile post-testicular environment. We clarified that while our p-value was not significant (p=0.15), the data suggests HbA1c should not serve as a prognostic gatekeeper to deny surgical fertility interventions. Competing Interests: No competing interests were disclosed. Close Report a concern Respond or Comment COMMENTS ON THIS REPORT Author Response 18 Mar 2026 Ponco Birowo , Department of Urology, Cipto Mangunkusumo Hospital, Central Jakarta, 10430, Indonesia 18 Mar 2026 Author Response First of all, I thank you for reviewing our study. I would like to respond to the revisions noted by the reviewer: 1. High proportion of spermatogenic arrest (SA) and ... Continue reading First of all, I thank you for reviewing our study. I would like to respond to the revisions noted by the reviewer: 1. High proportion of spermatogenic arrest (SA) and subclassification into early/late maturation arrest: We thank the reviewer for this critical observation. We agree that grouping all SA cases (MJ 3–6) inflated our overall prevalence compared to international cohorts. Due to the retrospective nature of the historical pathology reports spanning 14 years, SA was initially categorized broadly without formal subclassification. However, to address this, we have now stratified the specific MJ scores in the Discussion section to differentiate the arrest stages. We clarified that only 12.5% of cases (MJ 6) represented late maturation arrest, while 27.8% (MJ 4 and 5) represented early arrest, and 9.3% (MJ 3) showed pre-meiotic arrest. We have also updated the Methods to clarify that, typically, 20 to 50 tubules are evaluated per biopsy. As we could not retrospectively calculate Cohen's Kappa for interobserver variability, we have explicitly stated this as a limitation. 2. Lack of predictive modeling (ROC / Cut-off Analysis): We greatly appreciate this suggestion to enhance the translational value of the study. We have now performed ROC curve analyses to determine the predictive value of FSH and LH for severe histopathology (SCOP and TF). For predicting SCOP, FSH demonstrated an AUC of 0.693 (p<0.001), with a clinical cut-off of 14.75 mIU/mL providing 78.4% sensitivity. For predicting Tubular Fibrosis, FSH demonstrated an AUC of 0.672 (p=0.003) with an optimal cut-off of 14.95 mIU/mL. These clinically meaningful cut-offs, along with their respective sensitivities and specificities, have been added to the Results and Discussion sections, and the ROC curves have been included as Figures 3 and 4. 3. Multivariate analysis for sperm retrieval: We thank the reviewer for this sugestion. We have conducted a multivariate logistic regression model (now included as Table 6) evaluating independent predictors of successful sperm retrieval, incorporating age, BMI, FSH, LH, testosterone, and histopathological classification. The analysis revealed that hormonal parameters, including FSH (p=0.747) and LH (p=0.074), were not independent predictors of sperm retrieval after adjusting for histopathology. The histopathological patterns (TF, SCOP, and SA) remained the sole independent predictors of retrieval failure (p<0.001 for all). We have updated the Results and Discussion to emphasize that endocrine profiling cannot replace the diagnostic accuracy of a testicular biopsy. 4. Bilateral discordance analysis: We agree that the 18.5% discordance rate is an important finding that supports bilateral biopsies. As noted in the Methods, in cases of discordance, the higher MJ score (the more favorable side) was used for statistical classification. Unfortunately, due to the extended retrospective nature of the surgical records, the specific laterality of successful sperm extraction was not consistently documented in the operative notes for these discordant cases. Consequently, we could not reliably calculate side-specific SRRs. We have added a sentence to the limitations section acknowledging this constraint. 5. The mean age is reported as “366.7 years”: We apologize for this typographical error. It has been corrected to "36 ± 6.7 years" in the Results section. 6. The claim of being the “largest dataset” in Indonesia should be cautiously phrased. We completely agree. We have revised the phrasing throughout the manuscript (including the Abstract and Limitations) to state that this is "one of the largest datasets" or a "substantial cohort," reflecting that the data was derived from two centers and may not represent the entire population. 7. HbA1c is included in the analysis but not meaningfully discussed. We appreciate the reviewer highlighting this. We have expanded the Discussion section to explicitly contextualize the HbA1c findings. We introduced the concept of the "metabolic paradox" in surgical sperm retrieval, explaining that while systemic HbA1c strongly impairs ejaculated sperm quality, it frequently fails to predict micro-TESE success because surgical retrieval bypasses the hostile post-testicular environment. We clarified that while our p-value was not significant (p=0.15), the data suggests HbA1c should not serve as a prognostic gatekeeper to deny surgical fertility interventions. First of all, I thank you for reviewing our study. I would like to respond to the revisions noted by the reviewer: 1. High proportion of spermatogenic arrest (SA) and subclassification into early/late maturation arrest: We thank the reviewer for this critical observation. We agree that grouping all SA cases (MJ 3–6) inflated our overall prevalence compared to international cohorts. Due to the retrospective nature of the historical pathology reports spanning 14 years, SA was initially categorized broadly without formal subclassification. However, to address this, we have now stratified the specific MJ scores in the Discussion section to differentiate the arrest stages. We clarified that only 12.5% of cases (MJ 6) represented late maturation arrest, while 27.8% (MJ 4 and 5) represented early arrest, and 9.3% (MJ 3) showed pre-meiotic arrest. We have also updated the Methods to clarify that, typically, 20 to 50 tubules are evaluated per biopsy. As we could not retrospectively calculate Cohen's Kappa for interobserver variability, we have explicitly stated this as a limitation. 2. Lack of predictive modeling (ROC / Cut-off Analysis): We greatly appreciate this suggestion to enhance the translational value of the study. We have now performed ROC curve analyses to determine the predictive value of FSH and LH for severe histopathology (SCOP and TF). For predicting SCOP, FSH demonstrated an AUC of 0.693 (p<0.001), with a clinical cut-off of 14.75 mIU/mL providing 78.4% sensitivity. For predicting Tubular Fibrosis, FSH demonstrated an AUC of 0.672 (p=0.003) with an optimal cut-off of 14.95 mIU/mL. These clinically meaningful cut-offs, along with their respective sensitivities and specificities, have been added to the Results and Discussion sections, and the ROC curves have been included as Figures 3 and 4. 3. Multivariate analysis for sperm retrieval: We thank the reviewer for this sugestion. We have conducted a multivariate logistic regression model (now included as Table 6) evaluating independent predictors of successful sperm retrieval, incorporating age, BMI, FSH, LH, testosterone, and histopathological classification. The analysis revealed that hormonal parameters, including FSH (p=0.747) and LH (p=0.074), were not independent predictors of sperm retrieval after adjusting for histopathology. The histopathological patterns (TF, SCOP, and SA) remained the sole independent predictors of retrieval failure (p<0.001 for all). We have updated the Results and Discussion to emphasize that endocrine profiling cannot replace the diagnostic accuracy of a testicular biopsy. 4. Bilateral discordance analysis: We agree that the 18.5% discordance rate is an important finding that supports bilateral biopsies. As noted in the Methods, in cases of discordance, the higher MJ score (the more favorable side) was used for statistical classification. Unfortunately, due to the extended retrospective nature of the surgical records, the specific laterality of successful sperm extraction was not consistently documented in the operative notes for these discordant cases. Consequently, we could not reliably calculate side-specific SRRs. We have added a sentence to the limitations section acknowledging this constraint. 5. The mean age is reported as “366.7 years”: We apologize for this typographical error. It has been corrected to "36 ± 6.7 years" in the Results section. 6. The claim of being the “largest dataset” in Indonesia should be cautiously phrased. We completely agree. We have revised the phrasing throughout the manuscript (including the Abstract and Limitations) to state that this is "one of the largest datasets" or a "substantial cohort," reflecting that the data was derived from two centers and may not represent the entire population. 7. HbA1c is included in the analysis but not meaningfully discussed. We appreciate the reviewer highlighting this. We have expanded the Discussion section to explicitly contextualize the HbA1c findings. We introduced the concept of the "metabolic paradox" in surgical sperm retrieval, explaining that while systemic HbA1c strongly impairs ejaculated sperm quality, it frequently fails to predict micro-TESE success because surgical retrieval bypasses the hostile post-testicular environment. We clarified that while our p-value was not significant (p=0.15), the data suggests HbA1c should not serve as a prognostic gatekeeper to deny surgical fertility interventions. Competing Interests: No competing interests were disclosed. Close Report a concern COMMENT ON THIS REPORT Views 0 Cite How to cite this report: Soebadi DM. Reviewer Report For: Uncovering fertility potential: Clinical and histopathological insights from testicular biopsies in azoospermic men in a large Indonesian cohort [version 1; peer review: 1 approved, 1 approved with reservations] . F1000Research 2026, 15 :25 ( https://doi.org/10.5256/f1000research.183856.r450727 ) The direct URL for this report is: https://f1000research.com/articles/15-25/v1#referee-response-450727 NOTE: it is important to ensure the information in square brackets after the title is included in this citation. Close Copy Citation Details Reviewer Report 06 Feb 2026 Doddy Moesbadianto Soebadi , Department of Urology, Faculty of Medicine, Universitas Airlangga, Surabaya, East Java, Indonesia Approved VIEWS 0 https://doi.org/10.5256/f1000research.183856.r450727 This study is an important source for the literature and as a largest dataset concerning azoospermia in Indonesia. Also it provides a comprehensive histopathological and hormonal profile of azoospermic patients in the country, while also containing the diagnostic value of ... Continue reading READ ALL This study is an important source for the literature and as a largest dataset concerning azoospermia in Indonesia. Also it provides a comprehensive histopathological and hormonal profile of azoospermic patients in the country, while also containing the diagnostic value of bilateral testicular biopsies – an area often underexplored, especially in Asia countries. The histopathological and hormonal data as well as the data of microdeletions and sperm retrieval rates make this study more valuable. I recommend to approve this paper as an important addition of the world literature. Is the work clearly and accurately presented and does it cite the current literature? Yes Is the study design appropriate and is the work technically sound? Yes Are sufficient details of methods and analysis provided to allow replication by others? Yes If applicable, is the statistical analysis and its interpretation appropriate? Yes Are all the source data underlying the results available to ensure full reproducibility? Yes Are the conclusions drawn adequately supported by the results? Yes Competing Interests: No competing interests were disclosed. Reviewer Expertise: Clinical and basic research in Andrology. I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Soebadi DM. Reviewer Report For: Uncovering fertility potential: Clinical and histopathological insights from testicular biopsies in azoospermic men in a large Indonesian cohort [version 1; peer review: 1 approved, 1 approved with reservations] . F1000Research 2026, 15 :25 ( https://doi.org/10.5256/f1000research.183856.r450727 ) The direct URL for this report is: https://f1000research.com/articles/15-25/v1#referee-response-450727 NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS Report a concern Respond or Comment COMMENT ON THIS REPORT Comments on this article Comments (0) Version 2 VERSION 2 PUBLISHED 07 Jan 2026 ADD YOUR COMMENT Comment keyboard_arrow_left keyboard_arrow_right Open Peer Review Reviewer Status info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Reviewer Reports Invited Reviewers 1 2 Version 2 (revision) 18 Mar 26 read Version 1 07 Jan 26 read read Doddy Moesbadianto Soebadi , Universitas Airlangga, Surabaya, Indonesia Hideyuki Kobayashi , Toho University faculty of Medicine, Tokyo, Japan Comments on this article All Comments (0) Add a comment Sign up for content alerts Sign Up You are now signed up to receive this alert Browse by related subjects keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2026 Kobayashi H. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 19 Mar 2026 | for Version 2 Hideyuki Kobayashi , Department of Urology, Toho University faculty of Medicine, Tokyo, Japan 0 Views copyright © 2026 Kobayashi H. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (0) Approved info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions I have reviewed the revised version of the manuscript and the authors’ responses to the reviewers’ comments. In my opinion, the authors have addressed the major concerns appropriately. The revisions have improved the histopathological classification, clarified the methods, and strengthened the clinical interpretation through additional ROC and multivariate analyses. The remaining limitations are appropriately acknowledged. Competing Interests No competing interests were disclosed. Reviewer Expertise Male infertility I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. reply Respond to this report Responses (0) Kobayashi H. Peer Review Report For: Uncovering fertility potential: Clinical and histopathological insights from testicular biopsies in azoospermic men in a large Indonesian cohort [version 1; peer review: 1 approved, 1 approved with reservations] . F1000Research 2026, 15 :25 ( https://doi.org/10.5256/f1000research.197124.r468660) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/15-25/v2#referee-response-468660 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2026 Kobayashi H. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 16 Feb 2026 | for Version 1 Hideyuki Kobayashi , Department of Urology, Toho University faculty of Medicine, Tokyo, Japan 0 Views copyright © 2026 Kobayashi H. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (1) Approved With Reservations info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions This manuscript presents a large retrospective cohort study evaluating histopathological patterns and hormonal profiles in azoospermic men undergoing bilateral testicular biopsy in Indonesia. The dataset of 409 cases represents an important regional contribution, and the emphasis on bilateral biopsy and sperm retrieval rate (SRR) adds clinical relevance. However, several methodological and interpretative issues should be addressed before the manuscript can be considered for approval. Major comments High proportion of spermatogenic arrest (SA) The reported prevalence of spermatogenic arrest (approximately 49–50%) appears substantially higher than that described in most previously published cohorts, where SA generally ranges between 10% and 30%. In the present study, Modified Johnsen (MJ) scores 6–3 are collectively categorized as SA. This broad classification likely encompasses both early and late maturation arrest, which are biologically and prognostically distinct entities. Subclassification of SA into early (arrest at primary spermatocyte level) and late (arrest at round spermatid stage) maturation arrest is strongly recommended. These subtypes are known to have different sperm retrieval rates and may explain the relatively low overall SRR (approximately 12%) observed in this SA group. Without this distinction, comparison with international literature becomes challenging and may artificially inflate the SA proportion. The authors should clarify: Whether early and late maturation arrest were differentiated histologically. How many tubules were evaluated per biopsy. Whether interobserver variability was assessed. Lack of predictive modeling (ROC / Cut-off Analysis) While significant associations between FSH/LH levels and histopathological patterns are reported (p < 0.001), the manuscript remains largely correlational. For clinical applicability, it would be highly valuable to provide receiver operating characteristic (ROC) curve analysis to determine clinically meaningful cut-off values for predicting unfavorable histopathology or failed sperm retrieval. For example: What FSH threshold predicts SCOP/TF with acceptable sensitivity and specificity? Can LH independently predict severe pathology? What is the area under the curve (AUC) for these parameters? Including such analyses would substantially strengthen the translational value of the study. Multivariate analysis for sperm retrieval The manuscript reports multinomial logistic regression for histopathological classification; however, it is unclear whether hormonal parameters independently predict sperm retrieval after adjusting for histopathology. A multivariate logistic regression model evaluating independent predictors of SRR (including age, BMI, FSH, LH, testosterone, and histopathology) would significantly enhance the robustness of the findings. Currently, it is difficult to determine whether hormonal markers provide additional predictive value beyond biopsy results. Bilateral discordance analysis The authors report a discordant histopathological pattern in 18.5% of cases. This is an important finding, yet its clinical implications are not sufficiently explored. Specifically: What were the SRRs in discordant versus concordant cases? In discordant cases, was sperm retrieved preferentially from the more favorable side? How was discordance handled in statistical modeling? Further elaboration on these points would reinforce the argument supporting bilateral biopsy. Minor but important issues The mean age is reported as “366.7 years” in the Results section, which appears to be a typographical error. The claim of being the “largest dataset” in Indonesia should be cautiously phrased, as data were derived from two centers. HbA1c is included in the analysis but not meaningfully discussed; its relevance should be clarified or the variable reconsidered. Is the work clearly and accurately presented and does it cite the current literature? Yes Is the study design appropriate and is the work technically sound? Yes Are sufficient details of methods and analysis provided to allow replication by others? Yes If applicable, is the statistical analysis and its interpretation appropriate? Yes Are all the source data underlying the results available to ensure full reproducibility? Yes Are the conclusions drawn adequately supported by the results? Yes Competing Interests No competing interests were disclosed. Reviewer Expertise Male infertility I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. reply Respond to this report Responses (1) Author Response 18 Mar 2026 Ponco Birowo, Department of Urology, Cipto Mangunkusumo Hospital, Central Jakarta, 10430, Indonesia First of all, I thank you for reviewing our study. I would like to respond to the revisions noted by the reviewer: 1. High proportion of spermatogenic arrest (SA) and subclassification into early/late maturation arrest: We thank the reviewer for this critical observation. We agree that grouping all SA cases (MJ 3–6) inflated our overall prevalence compared to international cohorts. Due to the retrospective nature of the historical pathology reports spanning 14 years, SA was initially categorized broadly without formal subclassification. However, to address this, we have now stratified the specific MJ scores in the Discussion section to differentiate the arrest stages. We clarified that only 12.5% of cases (MJ 6) represented late maturation arrest, while 27.8% (MJ 4 and 5) represented early arrest, and 9.3% (MJ 3) showed pre-meiotic arrest. We have also updated the Methods to clarify that, typically, 20 to 50 tubules are evaluated per biopsy. As we could not retrospectively calculate Cohen's Kappa for interobserver variability, we have explicitly stated this as a limitation. 2. Lack of predictive modeling (ROC / Cut-off Analysis): We greatly appreciate this suggestion to enhance the translational value of the study. We have now performed ROC curve analyses to determine the predictive value of FSH and LH for severe histopathology (SCOP and TF). For predicting SCOP, FSH demonstrated an AUC of 0.693 (p<0.001), with a clinical cut-off of 14.75 mIU/mL providing 78.4% sensitivity. For predicting Tubular Fibrosis, FSH demonstrated an AUC of 0.672 (p=0.003) with an optimal cut-off of 14.95 mIU/mL. These clinically meaningful cut-offs, along with their respective sensitivities and specificities, have been added to the Results and Discussion sections, and the ROC curves have been included as Figures 3 and 4. 3. Multivariate analysis for sperm retrieval: We thank the reviewer for this sugestion. We have conducted a multivariate logistic regression model (now included as Table 6) evaluating independent predictors of successful sperm retrieval, incorporating age, BMI, FSH, LH, testosterone, and histopathological classification. The analysis revealed that hormonal parameters, including FSH (p=0.747) and LH (p=0.074), were not independent predictors of sperm retrieval after adjusting for histopathology. The histopathological patterns (TF, SCOP, and SA) remained the sole independent predictors of retrieval failure (p<0.001 for all). We have updated the Results and Discussion to emphasize that endocrine profiling cannot replace the diagnostic accuracy of a testicular biopsy. 4. Bilateral discordance analysis: We agree that the 18.5% discordance rate is an important finding that supports bilateral biopsies. As noted in the Methods, in cases of discordance, the higher MJ score (the more favorable side) was used for statistical classification. Unfortunately, due to the extended retrospective nature of the surgical records, the specific laterality of successful sperm extraction was not consistently documented in the operative notes for these discordant cases. Consequently, we could not reliably calculate side-specific SRRs. We have added a sentence to the limitations section acknowledging this constraint. 5. The mean age is reported as “366.7 years”: We apologize for this typographical error. It has been corrected to "36 ± 6.7 years" in the Results section. 6. The claim of being the “largest dataset” in Indonesia should be cautiously phrased. We completely agree. We have revised the phrasing throughout the manuscript (including the Abstract and Limitations) to state that this is "one of the largest datasets" or a "substantial cohort," reflecting that the data was derived from two centers and may not represent the entire population. 7. HbA1c is included in the analysis but not meaningfully discussed. We appreciate the reviewer highlighting this. We have expanded the Discussion section to explicitly contextualize the HbA1c findings. We introduced the concept of the "metabolic paradox" in surgical sperm retrieval, explaining that while systemic HbA1c strongly impairs ejaculated sperm quality, it frequently fails to predict micro-TESE success because surgical retrieval bypasses the hostile post-testicular environment. We clarified that while our p-value was not significant (p=0.15), the data suggests HbA1c should not serve as a prognostic gatekeeper to deny surgical fertility interventions. View more View less Competing Interests No competing interests were disclosed. reply Respond Report a concern Kobayashi H. Peer Review Report For: Uncovering fertility potential: Clinical and histopathological insights from testicular biopsies in azoospermic men in a large Indonesian cohort [version 1; peer review: 1 approved, 1 approved with reservations] . F1000Research 2026, 15 :25 ( https://doi.org/10.5256/f1000research.183856.r457414) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/15-25/v1#referee-response-457414 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2026 Soebadi D. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 06 Feb 2026 | for Version 1 Doddy Moesbadianto Soebadi , Department of Urology, Faculty of Medicine, Universitas Airlangga, Surabaya, East Java, Indonesia 0 Views copyright © 2026 Soebadi D. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (0) Approved info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions This study is an important source for the literature and as a largest dataset concerning azoospermia in Indonesia. Also it provides a comprehensive histopathological and hormonal profile of azoospermic patients in the country, while also containing the diagnostic value of bilateral testicular biopsies – an area often underexplored, especially in Asia countries. The histopathological and hormonal data as well as the data of microdeletions and sperm retrieval rates make this study more valuable. I recommend to approve this paper as an important addition of the world literature. Is the work clearly and accurately presented and does it cite the current literature? Yes Is the study design appropriate and is the work technically sound? Yes Are sufficient details of methods and analysis provided to allow replication by others? Yes If applicable, is the statistical analysis and its interpretation appropriate? Yes Are all the source data underlying the results available to ensure full reproducibility? Yes Are the conclusions drawn adequately supported by the results? Yes Competing Interests No competing interests were disclosed. Reviewer Expertise Clinical and basic research in Andrology. I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. reply Respond to this report Responses (0) Soebadi DM. Peer Review Report For: Uncovering fertility potential: Clinical and histopathological insights from testicular biopsies in azoospermic men in a large Indonesian cohort [version 1; peer review: 1 approved, 1 approved with reservations] . F1000Research 2026, 15 :25 ( https://doi.org/10.5256/f1000research.183856.r450727) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/15-25/v1#referee-response-450727 Alongside their report, reviewers assign a status to the article: Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions Adjust parameters to alter display View on desktop for interactive features Includes Interactive Elements View on desktop for interactive features Competing Interests Policy Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. 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