Asian journal of andrology最新文献

{"title":"Two studies, two outcomes: botulinum toxin in lifelong premature ejaculation treatment.","authors":"Murat Gul, Ali Sahin, Ege Can Serefoglu","doi":"10.4103/aja2024117","DOIUrl":"10.4103/aja2024117","url":null,"abstract":"","PeriodicalId":93889,"journal":{"name":"Asian journal of andrology","volume":" ","pages":"655-656"},"PeriodicalIF":2.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12422571/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143030358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploration of evaluation criteria based on the biological variation in the external quality assessment for basic semen analysis in China.","authors":"Xi-Yan Wu, Jin-Chun Lu, Xin-Hua Peng, Jing-Liang He, Dao Wang, Cong-Ling Dai, Wen-Bing Zhu, Gang Liu, Wei-Na Li","doi":"10.4103/aja2024118","DOIUrl":"10.4103/aja2024118","url":null,"abstract":"<p><strong>Abstract: </strong>This study explores whether the current external quality assessment (EQA) level and acceptable bias for basic semen analysis in China are clinically useful. We collected data of semen EQA from Andrology laboratories in the Hunan Province (China) in 2022 and searched for data in the published literature from January 2000 to December 2023 in China. On the basis of these data, we analyzed the coefficients of variation and acceptable biases of different quality control materials for basic semen analysis through robust statistics. We compared these findings with quality specifications based on biological variation from optimal, desirable, and minimum levels of bias to seek a unified and more suitable semen EQA bias evaluation standard for China's national conditions. Different sources of semen quality control material exhibited considerable variation in acceptable biases among laboratories, ranging from 8.2% to 56.9%. A total of 50.0% of the laboratories met the minimum quality specifications for progressive motility (PR), whereas 100.0% and 75.0% of laboratories met only the minimum quality specifications for sperm concentration and total motility (nonprogressive [NP] + PR), respectively. The Z value for sperm concentration and PR+NP was equivalent to the desirable performance specification, whereas the Z value for PR was equivalent only to the minimum performance specification. This study highlights the feasibility of operating external quality assessment schemes for basic semen analysis using quality specifications based on biological variation. These specifications should be unified among external quality control (EQC) centers based on biological variation.</p>","PeriodicalId":93889,"journal":{"name":"Asian journal of andrology","volume":" ","pages":"621-626"},"PeriodicalIF":2.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12422568/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143598572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intra-individual variability of the human seminal plasma metabolome.","authors":"Janet Blaurock, Sonja Grunewald, Kathrin M Engel","doi":"10.4103/aja2024110","DOIUrl":"10.4103/aja2024110","url":null,"abstract":"<p><strong>Abstract: </strong>In contrast to the conventional spermiogram, metabolomics approaches give insights into the molecular composition of semen and may provide more detailed information on the fertility status of the respective donor. Given the intra-individual variability of spermiogram parameters between two donations, this study sought to elucidate the biological variability of the seminal plasma metabolome over an average period of 8 weeks. Two time-shifted semen samples from 15 healthy donors were compared by a targeted metabolomics approach utilizing the Biocrates AbsoluteIDQ p180 kit. Next to intraclass correlation coefficients (ICC), which represent a measure of reliability, coefficients of variation within individuals (CVW) and coefficients of variation between individuals (CVB) were calculated for each metabolite to demonstrate its stability. Furthermore, men were divided into two cohorts, a similar sperm concentration (SSC) and a differing sperm concentration (DSC) cohort, based on the observed variance in sperm concentration between the two semen donations. The ICC was higher in the SSC compared to the DSC cohort. The levels of 18 metabolites, primarily acylcarnitines, varied between the initial and subsequent donations. After subdivision into subgroups, only ornithine and phosphatidylcholine 40:5 exhibited differential levels between the two donations in the SSC group, compared to 14 metabolites in the DSC group. CVB was higher than CVW but both differed between the metabolite subclasses. Biogenic amines were identified as the least reliable analytes over time, exhibiting the highest CVW, compared to sphingomyelins, which demonstrated the highest reliability with the lowest variation. CVB was the highest for ether-bound glycerophosphatidylcholines and the lowest for amino acids.</p>","PeriodicalId":93889,"journal":{"name":"Asian journal of andrology","volume":" ","pages":"586-591"},"PeriodicalIF":2.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12422576/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143525068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrated seminal plasma metabolomics and lipidomics profiling highlight distinctive signature of varicocele patients with male infertility.","authors":"Jing-Di Zhang, Xiao-Gang Li, Rong-Rong Wang, Xin-Xin Feng, Si-Yu Wang, Hai Wang, Yu-Tao Wang, Hong-Jun Li, Yong-Zhe Li, Ye Guo","doi":"10.4103/aja2024113","DOIUrl":"10.4103/aja2024113","url":null,"abstract":"<p><strong>Abstract: </strong>Varicocele (VC) is a common cause of male infertility, yet there is a lack of molecular information for VC-associated male infertility. This study investigated alterations in the seminal plasma metabolomic and lipidomic profiles of infertile male VC patients. Twenty infertile males with VC and twenty-three age-matched healthy controls (HCs) were recruited from Peking Union Medical College Hospital (Beijing, China) between October 2019 and April 2021. Untargeted metabolite and lipid profiles from seminal plasma were analyzed using mass spectrometry. Four hundred and seventy-six metabolites and seventeen lipids were significantly different in infertile male VC patients compared to HCs. The top enriched pathways among these significantly different metabolites are protein digestion and absorption, aminoacyl-transfer RNA (tRNA) biosynthesis, and biosynthesis of amino acids. Different key lipid species, including triglyceride (TG), diacylglycerol (DG), ceramides (Cer), and phosphatidylserine (PS), varied between VC and HC groups. The distinct metabolites and lipids were moderately correlated. DL-3-phenyllactic acid is a potential diagnostic biomarker for VC-related male infertility (area under the curve [AUC] = 0.893), positively correlating with sperm count, concentration, and motility. Furthermore, DL-3-phenyllactic acid is the only metabolite shared by all four comparisons (VC vs HC, VC-induced oligoasthenospermia [OAS] vs VC-induced asthenospermia [AS], OAS vs HC, and AS vs HC). DL-3-phenyllactic acid significantly decreased in OAS than AS. Metabolite-targeting gene analysis revealed carbonic anhydrase 9 (CA9) might be the strongest candidate associated with the onset and severity of VC. The seminal plasma metabolite and lipid profiles of infertile males with VC differ significantly from those of HCs. DL-3-phenyllactic acid could be a promising biomarker.</p>","PeriodicalId":93889,"journal":{"name":"Asian journal of andrology","volume":" ","pages":"646-654"},"PeriodicalIF":2.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12422570/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143805081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of physical activity on semen quality: a review of current evidence.","authors":"Jing Chen, Jin-Ming Guo, Bang-Jian Jiang, Fan-Yuan Sun, Yong-Cun Qu","doi":"10.4103/aja20252","DOIUrl":"10.4103/aja20252","url":null,"abstract":"<p><strong>Abstract: </strong>A growing global trend indicates a decline in semen quality, with a lack of physical activity identified as one of the contributing factors. Exercise is medication, and numerous studies have explored its effects on semen quality. However, there is no consensus on the most effective type and intensity of exercise for improving semen quality, owing to inconsistent findings across studies. These discrepancies may be attributable to variations in study populations ( e.g. , healthy versus infertile individuals) and research methodologies ( e.g., observational versus interventional studies). This paper reviews the existing literature from the databases PubMed, Web of Science, and Google Scholar, reclassifying articles on their subject and research designs to delineate the relationship between exercise and semen quality. It also summarizes the mechanisms through which exercise influences semen quality, including hormonal regulation, oxidative stress, and inflammatory factors.</p>","PeriodicalId":93889,"journal":{"name":"Asian journal of andrology","volume":" ","pages":"574-580"},"PeriodicalIF":2.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12422573/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143625852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sexual activity in men undergoing ADT for localized prostate cancer: a narrative literature review.","authors":"Laeticia Creidy, Daniel Taussky, Frederic Pouliot, Fred Saad, Fabian Falkenbach","doi":"10.4103/aja20253","DOIUrl":"10.4103/aja20253","url":null,"abstract":"<p><strong>Abstract: </strong>Androgen deprivation therapy (ADT) can negatively affect sexual function, and only a minority of patients report sexual activity. We reviewed the existing literature regarding the proportion of men who remained sexually active during and after ADT. The PubMed database was searched for studies published over the past 20 years. We selected and reviewed randomized clinical trials that provided sexual function data at baseline and during and after ADT. The primary outcome measure was the sexual function. Studies assessed sexual function using quality of life patient-reported outcome measures, which included sexual potency/activity evaluation. Information from 2947 patients was analyzed in this review. The median age of patients was 70 years. At baseline, a median of 49.9% (95% confidence interval [CI]: 49.1%-50.7%) of the patients reported being sexually active. At 6 months, 12 months, and 2 years or later of ADT treatment, a median of 10.3% (95% CI: 10.2%-10.5%), 8.9% (95% CI: 8.6%-9.2%), and 8.3% (95% CI: 8.2%-8.5%) of the patients reported being sexually active, respectively. Considering that half of the patients were sexually active at baseline, it seems probable that more than 10% of the patients who were sexually active before starting ADT remained sexually active when undergoing ADT. In conclusion, despite the common belief that ADT eliminates sexual activity, this analysis found that approximately 1 in 10 men are sexually active when on ADT, and this proportion is likely increased in men who are sexually active before starting ADT. Attention to sexual activity should not be dismissed in men on ADT.</p>","PeriodicalId":93889,"journal":{"name":"Asian journal of andrology","volume":" ","pages":"581-585"},"PeriodicalIF":2.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12422569/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144061730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Targeted gene silencing in mouse testicular Sertoli and Leydig cells using adeno-associated virus vectors.","authors":"Jing Pang, Mao-Xing Xu, Xiao-Yu Wang, Xu Feng, Yi-Man Duan, Xiao-Yan Zheng, Yu-Qian Chen, Wen Yin, Ying Liu, Ju-Xue Li","doi":"10.4103/aja2024120","DOIUrl":"10.4103/aja2024120","url":null,"abstract":"<p><strong>Abstract: </strong>Researchers commonly use cyclization recombination enzyme/locus of X-over P1 (Cre/loxP) technology-based conditional gene knockouts of model mice to investigate the functional roles of genes of interest in Sertoli and Leydig cells within the testis. However, the shortcomings of these genetic tools include high costs, lengthy experimental periods, and limited accessibility for researchers. Therefore, exploring alternative gene silencing techniques is of great practical value. In this study, we employed adeno-associated virus (AAV) as a vector for gene silencing in Sertoli and Leydig cells. Our findings demonstrated that AAV serotypes 1, 8, and 9 exhibited high infection efficiency in both types of testis cells. Importantly, we discovered that all three AAV serotypes exhibited exquisite specificity in targeting Sertoli cells via tubular injection while demonstrating remarkable selectivity in targeting Leydig cells via interstitial injection. We achieved cell-specific knockouts of the steroidogenic acute regulatory ( Star ) and luteinizing hormone/human chorionic gonadotropin receptor (Lhcgr) genes in Leydig cells, but not in Sertoli cells, using AAV9-single guide RNA (sgRNA)-mediated gene editing in Rosa26-LSL-Cas9 mice. Knockdown of androgen receptor ( Ar ) gene expression in Sertoli cells of wild-type mice was achieved via tubular injection of AAV9-short hairpin RNA (shRNA)-mediated targeting. Our findings offer technical approaches for investigating gene function in Sertoli and Leydig cells through AAV9-mediated gene silencing.</p>","PeriodicalId":93889,"journal":{"name":"Asian journal of andrology","volume":" ","pages":"627-637"},"PeriodicalIF":2.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12422574/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143675093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of follicle-stimulating hormone and the sperm concentration on the success of varicocelectomy.","authors":"Li-Hong Wang, Lei Zheng, Hui Jiang, Tao Jiang","doi":"10.4103/aja2024121","DOIUrl":"10.4103/aja2024121","url":null,"abstract":"","PeriodicalId":93889,"journal":{"name":"Asian journal of andrology","volume":" ","pages":"657-658"},"PeriodicalIF":2.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12422563/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143470058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cystic fibrosis-causing variants in Chinese patients with congenital absence of the vas deferens: a cohort and meta-analysis.","authors":"Yi Lu, Jing Wang, Zhong-Lin Cai, Teng-Yan Li, Hong-Jun Li, Bin-Bin Wang","doi":"10.4103/aja2024124","DOIUrl":"10.4103/aja2024124","url":null,"abstract":"<p><strong>Abstract: </strong>Individuals with congenital absence of the vas deferens (CAVD) may transmit cystic fibrosis (CF)-causing variants of the cystic fibrosis transmembrane conductance regulator ( CFTR ) gene to their offspring through assisted reproductive technology (ART). We aimed to delineate the spectrum and estimate the prevalence of CF-causing variants in Chinese individuals with CAVD through a cohort analysis and meta-analysis. CFTR was sequenced in 145 Chinese individuals with CAVD. CFTR variants were classified as CF-causing or non-CF-causing variants regarding clinical significance. A comprehensive genotype analysis was performed in Chinese individuals with CAVD, incorporating previous studies and our study cohort. The prevalence of CF-causing variants was estimated through meta-analysis. In our cohort, 56 different CFTR variants were identified in 108 (74.5%) patients. Twenty variants were categorized as CF-causing and were detected in 28 (19.3%) patients. A comprehensive genotype analysis of 867 patients identified 174 different CFTR variants. Sixty-four were classified as CF-causing variants, 56.3% of which had not been previously reported in Chinese patients with CF. Meta-analysis showed that 14.8% (95% confidence interval [CI]: 11.0%-18.9%) CAVD cases harbored one CF-causing variant, and 68.6% (95% CI: 65.1%-72.0%) CAVD cases carried at least one CFTR variant. Our study underscores the urgent need for extensive CFTR screening, including sequencing of whole exons and flanking regions and detection of large rearrangements and deep intronic CF-causing variants, in Chinese individuals with CAVD before undergoing ART. The established CF-causing variants spectrum may aid in the development of genetic counseling strategies and preimplantation diagnosis to prevent the birth of a child with CF.</p>","PeriodicalId":93889,"journal":{"name":"Asian journal of andrology","volume":" ","pages":"611-620"},"PeriodicalIF":2.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12422572/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143598571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unraveling sperm kinematic heterogeneity with machine learning.","authors":"Andrés Aragón-Martínez","doi":"10.4103/aja202544","DOIUrl":"https://doi.org/10.4103/aja202544","url":null,"abstract":"<p><p>The management of data from computer-aided sperm analysis (CASA) systems is crucial for understanding sperm motility. CASA systems generate motility parameters derived from tracking individual sperm cells, producing raw data as spermatozoa coordinates, which form the basis for sperm trajectory construction. These parameters and trajectories allow statistical descriptions of motility and identification of sperm heterogeneity. The substantial information provided by CASA enables the application of artificial intelligence (AI) techniques to interpret their biological significance. However, the type and format of CASA data, whether raw or condensed, pose challenges for analysis using conventional statistical methods. Advances in machine learning and deep learning have addressed these limitations by leveraging motility parameters and trajectory representations for automated classification and clustering of motility patterns. These methods, including supervised and unsupervised learning, have been employed to identify kinematic subpopulations within sperm samples, offering deeper insights into sperm dynamics. Open-source tools and CASA systems have facilitated this progress by providing accessible platforms for AI applications in sperm motility analysis. Although the use of machine learning in this field remains limited, integrating CASA-derived data with AI techniques shows potential for automating sperm classification and identifying motility patterns, advancing reproductive biology and fertility assessments. This work reviews the traditional use of CASA data, the analytical constraints, and the promising role of machine learning in enhancing the understanding of the heterogeneity of sperm kinematics.</p>","PeriodicalId":93889,"journal":{"name":"Asian journal of andrology","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144823408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}