Human reproduction open最新文献

{"title":"Independent factors associated with intracytoplasmic sperm injection outcomes in patients with complete azoospermia factor c microdeletions.","authors":"Yangyi Fang, Zhe Zhang, Yinchu Cheng, Zhigao Huang, Jiayuan Pan, Zixuan Xue, Yidong Chen, Vera Y Chung, Li Zhang, Kai Hong","doi":"10.1093/hropen/hoae071","DOIUrl":"10.1093/hropen/hoae071","url":null,"abstract":"<p><strong>Study question: </strong>Which independent factors influence ICSI outcomes in patients with complete azoospermia factor c (AZFc) microdeletions?</p><p><strong>Summary answer: </strong>In patients with complete AZFc microdeletions, the sperm source, male LH, the type of infertility in women, and maternal age are the independent factors associated with ICSI outcomes.</p><p><strong>What is known already: </strong>AZF microdeletions are the second most prevalent factor contributing to infertility in men, with AZFc microdeletions being the most frequently affected locus, accounting for 60-70% of all cases. The primary clinical phenotypes are oligoasthenozoospermia and azoospermia in patients with complete AZFc microdeletions. These patients can achieve paternity through ICSI using either testicular (T-S) or ejaculated (E-S) spermatozoa. With aging in men with AZFc microdeletions, oligoasthenozoospermia or severe oligozoospermia may gradually progress to azoospermia.</p><p><strong>Study design size duration: </strong>In this retrospective cohort study, the independent factors associated with the outcomes of 634 ICSI cycles in 634 couples with the transfer of 1005 embryos between February 2015 and December 2023 were evaluated. The analysis included 398 ICSI cycles in 398 couples using E-S and 236 ICSI cycles in 236 couples using T-S; all men had complete AZFc microdeletions.</p><p><strong>Participants/materials setting methods: </strong>The inclusion criteria were as follows: (i) men had complete AZFc microdeletions and (ii) the couple underwent ICSI treatment using T-S or E-S. The exclusion criteria were as follows: (i) cycles involving frozen-thawed oocytes; (ii) cycles in which all fresh embryos were frozen and not transferred; (iii) cycles lost to follow-up; and (iv) multiple ICSI cycles, apart from the first cycle for each couple. The primary outcome was the cumulative live birth rate per ICSI cycle, whereas the secondary outcomes were the clinical pregnancy rate per ICSI cycle, fertilization rate, and the no-embryo-suitable-for-transfer cycle rate (NESTR). Moreover, the maternal and neonatal outcomes were analyzed. Continuous variables showing non-normal distributions were expressed as median and interquartile range and were analyzed using the Kruskal-Wallis test. Categorical variables were expressed as percentages and were analyzed using the χ² or Fisher's exact test. Linear and logistic regression models were constructed to assess the independent factors associated with ICSI outcomes.</p><p><strong>Main results and the role of chance: </strong>The T-S group exhibited inferior ICSI outcomes than the E-S group, marked by significantly reduced rates of cumulative live birth, clinical pregnancy, fertilization, high-quality embryos, blastocyst formation, and implantation, with higher NESTRs. However, the miscarriage rate and neonatal outcomes did not significantly differ between the groups. Multivariate linear regression analysi","PeriodicalId":73264,"journal":{"name":"Human reproduction open","volume":"2024 4","pages":"hoae071"},"PeriodicalIF":8.3,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11652272/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142857140","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":"AI predictive models and advancements in microdissection testicular sperm extraction for non-obstructive azoospermia: a systematic scoping review.","authors":"Hossein Jamalirad, Mahdie Jajroudi, Bahareh Khajehpour, Mohammad Ali Sadighi Gilani, Saeid Eslami, Marjan Sabbaghian, Hassan Vakili Arki","doi":"10.1093/hropen/hoae070","DOIUrl":"10.1093/hropen/hoae070","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Study question: &lt;/strong&gt;How accurately can artificial intelligence (AI) models predict sperm retrieval in non-obstructive azoospermia (NOA) patients undergoing micro-testicular sperm extraction (m-TESE) surgery?&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Summary answer: &lt;/strong&gt;AI predictive models hold significant promise in predicting successful sperm retrieval in NOA patients undergoing m-TESE, although limitations regarding variability of study designs, small sample sizes, and a lack of validation studies restrict the overall generalizability of studies in this area.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;What is known already: &lt;/strong&gt;Previous studies have explored various predictors of successful sperm retrieval in m-TESE, including clinical and hormonal factors. However, no consistent predictive model has yet been established.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Study design size duration: &lt;/strong&gt;A comprehensive literature search was conducted following PRISMA-ScR guidelines, covering PubMed and Scopus databases from 2013 to 15 May 2024. Relevant English-language studies were identified using Medical Subject Headings (MeSH) terms. We also used PubMed's 'similar articles' and 'cited by' features for thorough bibliographic screening to ensure comprehensive coverage of relevant literature.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Participants/materials setting methods: &lt;/strong&gt;The review included studies on patients with NOA where AI-based models were used for predicting m-TESE outcomes, by incorporating clinical data, hormonal levels, histopathological evaluations, and genetic parameters. Various machine learning and deep learning techniques, including logistic regression, were employed. The Prediction Model Risk of Bias Assessment Tool (PROBAST) evaluated the bias in the studies, and their quality was assessed using the Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD) guidelines, ensuring robust reporting standards and methodological rigor.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Main results and the role of chance: &lt;/strong&gt;Out of 427 screened articles, 45 met the inclusion criteria, with most using logistic regression and machine learning to predict m-TESE outcomes. AI-based models demonstrated strong potential by integrating clinical, hormonal, and biological factors. However, limitations of the studies included small sample sizes, legal barriers, and challenges in generalizability and validation. While some studies featured larger, multicenter designs, many were constrained by sample size. Most studies had a low risk of bias in participant selection and outcome determination, and two-thirds were rated as low risk for predictor assessment, but the analysis methods varied.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Limitations reasons for caution: &lt;/strong&gt;The limitations of this review include the heterogeneity of the included research, potential publication bias and reliance on only two databases (PubMed and Scopus), which may limit the scope of the findings. Additionally, the absence of a meta-analysis prevents quantit","PeriodicalId":73264,"journal":{"name":"Human reproduction open","volume":"2025 1","pages":"hoae070"},"PeriodicalIF":8.3,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11700607/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143069933","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":"A comprehensive study of common and rare genetic variants in spermatogenesis-related loci identifies new risk factors for idiopathic severe spermatogenic failure.","authors":"Andrea Guzmán-Jiménez, Sara González-Muñoz, Miriam Cerván-Martín, Nicolás Garrido, José A Castilla, M Carmen Gonzalvo, Ana Clavero, Marta Molina, Saturnino Luján, Samuel Santos-Ribeiro, Miguel Ángel Vilches, Andrea Espuch, Vicente Maldonado, Noelia Galiano-Gutiérrez, Esther Santamaría-López, Cristina González-Ravina, Fernando Quintana-Ferraz, Susana Gómez, David Amorós, Luis Martínez-Granados, Yanira Ortega-González, Miguel Burgos, Iris Pereira-Caetano, Ozgur Bulbul, Stefano Castellano, Massimo Romano, Elena Albani, Lluís Bassas, Susana Seixas, João Gonçalves, Alexandra M Lopes, Sara Larriba, Rogelio J Palomino-Morales, F David Carmona, Lara Bossini-Castillo","doi":"10.1093/hropen/hoae069","DOIUrl":"10.1093/hropen/hoae069","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Study question: &lt;/strong&gt;Can genome-wide genotyping data be analysed using a hypothesis-driven approach to enhance the understanding of the genetic basis of severe spermatogenic failure (SPGF) in male infertility?&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Summary answer: &lt;/strong&gt;Our findings revealed a significant association between SPGF and the &lt;i&gt;SHOC1&lt;/i&gt; gene and identified three novel genes (&lt;i&gt;PCSK4&lt;/i&gt;, &lt;i&gt;AP3B1&lt;/i&gt;, and &lt;i&gt;DLK1&lt;/i&gt;) along with 32 potentially pathogenic rare variants in 30 genes that contribute to this condition.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;What is known already: &lt;/strong&gt;SPGF is a major cause of male infertility, often with an unknown aetiology. SPGF can be due to either multifactorial causes, including both common genetic variants in multiple genes and environmental factors, or highly damaging rare variants. Next-generation sequencing methods are useful for identifying rare mutations that explain monogenic forms of SPGF. Genome-wide association studies (GWASs) have become essential approaches for deciphering the intricate genetic landscape of complex diseases, offering a cost-effective and rapid means to genotype millions of genetic variants. Novel methods have demonstrated that GWAS datasets can be used to infer rare coding variants that are causal for male infertility phenotypes. However, this approach has not been previously applied to characterize the genetic component of a whole case-control cohort.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Study design size duration: &lt;/strong&gt;We employed a hypothesis-driven approach focusing on all genetic variation identified, using a GWAS platform and subsequent genotype imputation, encompassing over 20 million polymorphisms and a total of 1571 SPGF patients and 2431 controls. Both common (minor allele frequency, MAF &gt; 0.01) and rare (MAF &lt; 0.01) variants were investigated within a total of 1797 loci with a reported role in spermatogenesis. This gene panel was meticulously assembled through comprehensive searches in the literature and various databases focused on male infertility genetics.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Participants/materials setting methods: &lt;/strong&gt;This study involved a European cohort using previously and newly generated data. Our analysis consisted of three independent methods: (i) variant-wise association analyses using logistic regression models, (ii) gene-wise association analyses using combined multivariate and collapsing burden tests, and (iii) identification and characterisation of highly damaging rare coding variants showing homozygosity only in SPGF patients.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Main results and the role of chance: &lt;/strong&gt;The variant-wise analyses revealed an association between SPGF and &lt;i&gt;SHOC1&lt;/i&gt;-rs12347237 (&lt;i&gt;P &lt;/i&gt;=&lt;i&gt; &lt;/i&gt;4.15E-06, odds ratio = 2.66), which was likely explained by an altered binding affinity of key transcription factors in regulatory regions and the disruptive effect of coding variants within the gene. Three additional genes (&lt;i&gt;PCSK4&lt;/i&gt;, &lt;i&gt;AP3B1&lt;/i&gt;, and &lt;i&gt;DLK1&lt;/i&gt;) were identified as novel relevan","PeriodicalId":73264,"journal":{"name":"Human reproduction open","volume":"2024 4","pages":"hoae069"},"PeriodicalIF":8.3,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11645127/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142830969","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":"Reply: Birth rate decline, COVID-19 pandemic, and vaccination programmes.","authors":"Tomáš Sobotka, Maria Winkler-Dworak, Kryštof Zeman","doi":"10.1093/hropen/hoae068","DOIUrl":"10.1093/hropen/hoae068","url":null,"abstract":"","PeriodicalId":73264,"journal":{"name":"Human reproduction open","volume":"2024 4","pages":"hoae068"},"PeriodicalIF":8.3,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11590250/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142735208","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":"Birth rate decline, COVID-19 pandemic, and vaccination programmes.","authors":"Hinpetch Daungsupawong, Viroj Wiwanitkit","doi":"10.1093/hropen/hoae067","DOIUrl":"10.1093/hropen/hoae067","url":null,"abstract":"","PeriodicalId":73264,"journal":{"name":"Human reproduction open","volume":"2024 4","pages":"hoae067"},"PeriodicalIF":8.3,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11590251/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142735206","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":"Lab-based semen parameters as predictors of long-term health in men-a systematic review.","authors":"Silvia Nedelcu, Srisailesh Vitthala, Abha Maheshwari","doi":"10.1093/hropen/hoae066","DOIUrl":"10.1093/hropen/hoae066","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Study question: &lt;/strong&gt;Can semen parameters predict long-term health outcomes in men?&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Summary answer: &lt;/strong&gt;There is a lack of evidence to suggest a higher risk of comorbidities in men with poor semen concentration.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;What is known already: &lt;/strong&gt;Male infertility has been long associated with a higher mortality risk and possibly higher chance of developing comorbidities but there has been less focus on semen analysis as a potential predictive factor.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Study design size duration: &lt;/strong&gt;We searched PubMed/MEDLINE, EMBASE, and EBM databases from inception to December 2023. MESH term strategy: heading 1 ('OR', semen analysis, sperm count, sperm parameter*, male infertility, azoospermia, aspermia, oligospermia, teratozoospermia, asthenozoospermia) 'AND' heading 2 ('OR', morbidity, mortality, diabetes, cancer, cardiovascular, death, hypertension, stroke, long-term health). We included all studies that analyzed the risk of mortality and/or future development of comorbidities in men with at least one semen analysis. Case series and reviews were excluded.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Participants/materials setting methods: &lt;/strong&gt;A narrative synthesis was done for all studies and meta-analysis where possible. Odds ratio (ORs) (95% CI, &lt;i&gt;P&lt;/i&gt;-value) were calculated for all men with one suboptimal semen parameter and associated with the risk of a particular outcome. The risk of bias was assessed with QUADAS-2.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Main results and the role of chance: &lt;/strong&gt;Twenty-one studies were finally included. There was either a high or unclear risk of bias in all studies. The results only allowed for meta-analysis on categories of sperm concentration. We found a 2-fold increase in mortality risk in azoospermic men compared to oligospermic (OR 1.96, 95% CI: 1.29-2.96) and normozoospermic (OR 2.00, 95% CI: 1.23-3.25) groups, but not in oligospermic compared to normozoospermic (OR 1.04, 95% CI: 0.52-2.09). There was no difference in risk of cardiovascular disease in any of the sperm concentration groups (azoospermic-oligospermic OR 0.94, 95% CI: 0.74-1.20, azoospermic-normozoospermic OR 1.11, 95% CI: 0.71-1.75, and oligospermic-normozoospermic OR 1.12, 95% CI: 0.80-1.55). OR for diabetes in azoospermic men was higher only compared to oligospermic (OR 2.16, 95% CI: 1.55-3.01). The risk of all-site cancer was higher in azoospermic men compared to oligospermic (OR 2.16, 95% CI: 1.55-3.01) and normozoospermic (OR 2.18, 95% CI: 1.20-3.96). Only azoospermic men might be at higher risk of testicular cancer when compared to men with normal sperm concentration (OR 1.80, 95% CI: 1.12-2.89).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Limitations reasons for caution: &lt;/strong&gt;Although our pooled analysis shows an increased risk of mortality and all-site cancer risk in azoospermic men, the results show a lack of evidence to suggest a higher risk of comorbidities in men with poor semen concentration. Given the limited available data, the nature of the ","PeriodicalId":73264,"journal":{"name":"Human reproduction open","volume":"2024 4","pages":"hoae066"},"PeriodicalIF":8.3,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11643900/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142830976","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":"Membrane-bound receptor for advanced glycation end products (RAGE) is a stable biomarker of low-quality sperm.","authors":"Jill Browning, Magda Ghanim, William Jagoe, Jennifer Cullinane, Louise E Glover, Mary Wingfield, Vincent P Kelly","doi":"10.1093/hropen/hoae064","DOIUrl":"10.1093/hropen/hoae064","url":null,"abstract":"<p><strong>Study question: </strong>Does receptor for advanced glycation end products (RAGE) on the surface membrane of the sperm cell function as a biomarker of low-quality sperm?</p><p><strong>Summary answer: </strong>Membrane-bound RAGE at a cellular level directly correlates with low sperm motility, high cell permeability, decreased mitochondrial function, DNA fragmentation, and higher levels of apoptosis.</p><p><strong>What is known already: </strong>RAGE has previously been measured by ELISA in low-quality sperm in diabetic men and has been shown to correlate with DNA fragmentation (terminal deoxynucleotidyl transferase dUTP nick end labelling (TUNEL) assay).</p><p><strong>Study design size duration: </strong>Semen samples were recovered from 60 non-obese, non-diabetic and non-smoking subjects, washed with fresh media, and analysed directly or purified further by differential gradient centrifugation (DGC) or fractionated by direct swim-up before being analysed for sperm motility and molecular health parameters, including cell membrane permeability, cell death, mitochondrial membrane potential, DNA fragmentation, and RAGE protein expression.</p><p><strong>Participants/materials setting methods: </strong>Sperm motility assessments were carried out by computer-assisted sperm analysis (CASA) on 1000 spermatozoa for washed samples and 300 spermatozoa for purified samples. Molecular sperm health parameters were evaluated using flow cytometry with the use of the following markers: DAPI for cell membrane permeability, Annexin V/DAPI for cell death (apoptosis and necrosis), MitoTracker^® Red CMXRos for mitochondrial membrane potential, TUNEL assay for DNA fragmentation and 8-hydroxy-2-deoxyguanosine for identification of oxidative damage to sperm DNA, and contrasted to membrane-bound RAGE expression levels, which were evaluated using an anti-RAGE monoclonal mouse antibody.</p><p><strong>Main results and the role of chance: </strong>RAGE protein was shown to be present on the acrosomal and equatorial regions of sperm, with the levels of membrane bound receptor strongly correlating with poor sperm health across all parameters tested; motility (<i>R</i> ² = 0.5441, <i>P</i> < 0.0001) and mitochondrial membrane potential (<i>R</i> ² = 0.6181, <i>P</i> < 0.0001) being of particular note. The analysis was performed at a single cell level thereby removing confounding complications from soluble forms of the RAGE protein that can be found in seminal plasma. The expression of the RAGE protein was shown to be stable over time and its levels are therefore not subject to variation in sample handling or preparation time.</p><p><strong>Large scale data: </strong>N/A.</p><p><strong>Limitations reasons for caution: </strong>Inclusion criteria for this study were non-diabetic, non-obese and non-smoking participants to assess the distribution of RAGE expression in the general population, thereby excluding disease conditions that may inc","PeriodicalId":73264,"journal":{"name":"Human reproduction open","volume":"2024 4","pages":"hoae064"},"PeriodicalIF":8.3,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11568349/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142649741","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":"Women may not benefit from repeated frozen embryo transfers: a retrospective analysis of the cumulative live birth rate of 43 972 women.","authors":"Yuqi Zeng, Yali Liu, Yunhan Nie, Xi Shen, Tiantian Wang, Yanping Kuang, Li Wang","doi":"10.1093/hropen/hoae063","DOIUrl":"10.1093/hropen/hoae063","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Study question: &lt;/strong&gt;Which specific groups of women would not benefit from repeated frozen embryo transfers (FETs)?&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Summary answer: &lt;/strong&gt;Women over 45 years of age should stop treatment after three FET attempts due to the absence of further benefits, while women aged 40-45 years and those with a diminished ovarian reserve and other causes of infertility have a lower chance of improving their cumulative live birth rate (CLBR) within five FET cycles and experience fewer advantages from repeated transfers.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;What is known already: &lt;/strong&gt;In real-life scenarios of ART, women who fail to achieve a live birth often choose to undergo repeated FETs via the freeze-all strategy.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Study design size duration: &lt;/strong&gt;This retrospective study included 43 972 women who underwent 86 496 oocyte retrieval cycles and 82 022 FET cycles between January 2010 and March 2023 under the freeze-all strategy.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Participants/materials setting methods: &lt;/strong&gt;We categorized the population based on the female's age at the first oocyte pick-up (OPU) cycle (Groups 1-6: &lt;30, 30-34, 35-39, 40-42, 43-44, and ≥45 years of age), number of retrieved oocytes at the first OPU cycle (Groups 1-5: 1-5, 6-10, 11-15, 16-20, and &gt;20 oocytes), and causes of infertility (Groups 1-9: tubal factor, male factor, polycystic ovary syndrome, diminished ovarian reserve, endometriosis, other uterine factors, combined factors, unexplained infertility, and other infertility) to analyse their CLBRs within different FET cycles via Kaplan-Meier analysis (optimistic method) and the competing risk method (conservative method). We utilized multivariate Cox and Fine-Gray models to examine the associations between the CLBR and age, the number of retrieved oocytes, and nine causes of infertility.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Main results and the role of chance: &lt;/strong&gt;The CLBR decreased with increasing female age over five FET cycles (Groups 1-6: optimistic method: 96.4%, 94.2%, 86.0%, 50.2%, 23.1%, and 10.1%; conservative method: 87.1%, 82.0%, 67.8%, 33.9%, 13.8%, and 3.5%, respectively). Moreover, there was an increasing trend in the number of retrieved oocytes (Groups 1-5: optimistic method: 82.5%, 91.7%, 93.6%, 94.1%, and 96.2%; conservative method: 58.6%, 76.7%, 84.8%, 88.0%, and 92.5%, respectively). Furthermore, the CLBR varied across different causes of infertility (Groups 1-9: optimistic method: 91.7%, 93.1%, 96.6%, 79.2%, 89.9%, 76.1%, 90.0%, 92.9%, and 35.4%; conservative method: 77.3%, 79.4%, 88.9%, 46.7%, 72.7%, 62.1%, 74.4%, 78.8%, and 20.1%, respectively).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Limitations reasons for caution: &lt;/strong&gt;Calculating the actual CLBR for each person is difficult because some patients have remaining embryos that have not been transferred; additionally, the current statistical methodology uses both optimistic and conservative methods to calculate the CLBR, and in real life, the CLBR falls between the optimistic and conservative curve","PeriodicalId":73264,"journal":{"name":"Human reproduction open","volume":"2024 4","pages":"hoae063"},"PeriodicalIF":8.3,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11557905/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142633205","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":"Sperm and leukocyte telomere length are related to sperm quality parameters in healthy men from the Led-Fertyl study.","authors":"María Fernández de la Puente, Cristina Valle-Hita, Albert Salas-Huetos, María Ángeles Martínez, Elena Sánchez-Resino, Silvia Canudas, Daniel Torres-Oteros, Joana Relat, Nancy Babio, Jordi Salas-Salvadó","doi":"10.1093/hropen/hoae062","DOIUrl":"https://doi.org/10.1093/hropen/hoae062","url":null,"abstract":"<p><strong>Study question: </strong>Could sperm and leukocyte telomere length (TL) be associated with sperm quality parameters and reproductive health in men from the general population?</p><p><strong>Summary answer: </strong>A positive association between sperm and leukocyte TL with sperm concentration and total count has been demonstrated.</p><p><strong>What is known already: </strong>Male factors account for almost half of cases of couple infertility, and shorter TLs have been observed in sperm from men with impaired sperm parameters. However, evidence in men from the general population is limited.</p><p><strong>Study design size duration: </strong>A total of 200 volunteers of reproductive age were recruited between February 2021 and April 2023 to participate in the Lifestyle and Environmental Determinants of Seminogram and Other Male Fertility-Related Parameters (Led-Fertyl) cross-sectional study.</p><p><strong>Participants/materials setting methods: </strong>TLs in sperm and leukocytes were measured using quantitative polymerase chain reaction (qPCR) in 168 and 194 participants, respectively. Sperm parameters, including concentration, total count, motility, vitality, and morphology, were analyzed using a computer-assisted sperm analysis (CASA) SCA^® system according to the World Health Organization (WHO) 2010 guidelines. Multivariable regression models were performed to assess the associations between sperm and leukocyte TL, either in tertiles or as continuous variables, and sperm quality parameters while adjusting for potential confounders.</p><p><strong>Main results and the role of chance: </strong>Participants in tertiles 2 (T2) and 3 (T3) of sperm TL showed a higher sperm concentration (β: 1.09; 95% CI: 0.09-2.09 and β: 2.06; 95% CI: 1.04-3.09 for T2 and T3, respectively; <i>P</i>-trend < 0.001), compared to those in the reference tertile (T1). Participants in the highest tertile of sperm TL showed higher total sperm count (β: 3.83; 95% CI: 2.08-5.58 for T3 vs T1; <i>P</i>-trend < 0.001). Participants in the top tertile of leukocyte TL showed higher sperm concentration (β: 1.49; 95% CI: 0.44-2.54 for T3 vs T1; <i>P</i>-trend = 0.004), and total count (β: 3.49; 95% CI: 1.62-5.35 for T3 vs T1; <i>P</i>-trend < 0.001) compared with participants in T1. These results remained consistent when sperm and leukocyte TL were modelled as continuous variables.</p><p><strong>Limitations reasons for caution: </strong>One limitation is the impossibility of establishing a cause-effect relationship due to the cross-sectional study design. Additionally, the sample size of the study cannot be considered large.</p><p><strong>Wider implications of the findings: </strong>Sperm and leukocyte TLs are associated with sperm quality parameters in the general population. Additional determinations and further studies with larger sample sizes are needed to clarify the mechanisms underlying these associations and to investigate the further implications.</p><p","PeriodicalId":73264,"journal":{"name":"Human reproduction open","volume":"2024 4","pages":"hoae062"},"PeriodicalIF":8.3,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11520404/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142549294","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":"Reply: Emerging evidence of endometrial compaction in predicting ART outcomes.","authors":"Hannan Al-Lamee, Gayathri Delanerolle, Dharani K Hapangama, Nicola Tempest","doi":"10.1093/hropen/hoae061","DOIUrl":"10.1093/hropen/hoae061","url":null,"abstract":"","PeriodicalId":73264,"journal":{"name":"Human reproduction open","volume":"2024 4","pages":"hoae061"},"PeriodicalIF":8.3,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11513194/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142514160","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}