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Study Question: By investigating a birth cohort with a high ongoing participation rate to derive an unbiased population, what are the parameters and influences upon testicular function for a population not selected with regard to fertility?Summary Answer: While varicocele, cryptorchidism and obesity may impact on human testicular function, most common drug exposures and the presence of epididymal cysts appear to have no or minimal adverse impact.What Is Known Already: The majority of previous attempts to develop valid reference populations for spermatogenesis have relied on potentially biased sources such as recruits from infertility clinics, self-selected volunteer sperm donors for research or artificial insemination or once-fertile men seeking vasectomy. It is well known that studies requiring semen analysis have low recruitment rates which consequently question their validity. However, there has been some concern that a surprisingly high proportion of young men may have semen variables that do not meet all the WHO reference range criteria for fertile men, with some studies reporting that up to one half of participants have not meet the reference range for fertile men. Reported median sperm concentrations have ranged from 40 to 60 million sperm/ml.Study Design, Size and Duration: The Western Australian Pregnancy Cohort (Raine) was established in 1989. At 20-22 years of age, members of the cohort were contacted to attend for a general follow-up, with 753 participating out of the 913 contactable men. Of these, 423 men (56% of participants in the 20-22 years cohort study, 46% of contactable men) participated in a testicular function study. Of the 423 men, 404 had a testicular ultrasound, 365 provided at least one semen sample, 287 provided a second semen sample and 384 provided a blood sample.Participants/materials, Setting, Methods: Testicular ultrasound examinations were performed at King Edward Memorial Hospital, Subiaco, Perth, for testicular volume and presence of epididymal cysts and varicoceles. Semen samples were provided and analysed by standard semen assessment and a sperm chromatin structural assay (SCSA) at Fertility Specialists of Western Australia, Claremont, Perth. Serum blood samples were provided at the University of Western Australia, Crawley, Perth and were analysed for serum luteinizing hormone (LH), follicular stimulating hormone (FSH), inhibin B, testosterone, dihydrotestosterone (DHT), dehydroepiandrosterone (DHEA), estradiol, estrone and the primary metabolites of DHT: 5α-androstane-3α,17β-diol (3α-diol) and 5-α androstane-3-β-17-beta-diol (3β-diol). Serum steroids were measured by liquid chromatography, mass spectrometry and LH, FSH and inhibin B were measured by ELISA assays.Main Results and the Role Of Chance: Cryptorchidism was associated with a significant reduction in testicular (P = 0.047) and semen (P = 0.027) volume, sperm concentration (P = 0.007) and sperm output (P = 0.003). Varicocele was associated with smaller testis volume (P < 0.001), lower sperm concentration (P = 0.012) and total sperm output (P = 0.030) and lower serum inhibin B levels (P = 0.046). Smoking, alcohol intake, herniorrhaphy, an epididymal cyst, medication and illicit drugs were not associated with any significant semen variables, testicular volume or circulating reproductive hormones. BMI had a significantly negative correlation with semen volume (r = -0.12, P = 0.048), sperm output (r = -0.13, P = 0.02), serum LH (r = -0.16, P = 0.002), inhibin B (r = -0.16, P < 0.001), testosterone (r = -0.23, P < 0.001) and DHT (r = -0.22, P < 0.001) and a positive correlation with 3αD (r = 0.13, P = 0.041) and DHEA (r = 0.11, P = 0.03). Second semen samples compared with the first semen samples in the 287 participants who provided two samples, with no significant bias by Bland-Altman analysis. Testis volume was significantly correlated positively with sperm concentration (r = 0.25, P < 0.001) and sperm output (r = 0.29, P < 0.001) and inhibin B (r = 0.42, P < 0.001), and negatively correlated with serum LH (r = -0.24, P < 0.001) and FSH (r = -0.32, P < 0.001). SCSA was inversely correlated with sperm motility (r = -0.20, P < 0.001) and morphology (r = -0.16, P = 0.005). WHO semen reference criteria were all met by only 52 men (14.4%). Some criteria were not met at first analysis in 15-20% of men, including semen volume (<1.5 ml, 14.8%), total sperm output (<39 million, 18.9%), sperm concentration (<15 million/ml, 17.5%), progressive motility (<32%, 14.4%) and morphologically normal sperm (<4%, 26.4%), while all five WHO criteria were not met in four participants (1.1%).Limitations and Reasons For Caution: This was a large cohort study; however, potential for recruitment bias still exists. Men who did not participate in the testicular evaluation study (n = 282) did not differ from those who did (n = 423) with regard to age, weight, BMI, smoking or circulating reproductive hormones (LH, FSH, inhibin B, T, DHT, E2, E1, DHEA, 3α-diol, 3β-diol), but were significantly shorter (178 versus 180 cm, P = 0.008) and had lower alcohol consumption (P = 0.019) than those who did participate.Wider Implications Of the Findings: This study demonstrated the feasibility of establishing a birth cohort to provide a relatively unbiased insight into population-representative sperm output and function and of investigating its determinants from common exposures. While varicocele, cryptorchidism and obesity may impact on human testicular function, most common drug exposures and the presence of epididymal cysts appear to have little adverse impact, and this study suggests that discrepancies from the WHO reference ranges are expected, due to its derivation from non-population-representative fertile populations. [ABSTRACT FROM AUTHOR]

Background Polycystic ovary syndrome (PCOS) affects around 15% of Indigenous women who are also a group at high risk of cardiometabolic disease. Aim To explore the impact of PCOS on metabolic syndrome in Indigenous women. Methods A cross-sectional reproductive health questionnaire, biochemical and anthropometric assessments, of 109 Indigenous women (35 with PCOS and 74 without PCOS) aged 15-44 years in and around Darwin between 2003 and 2005. PCOS was defined using the National Institutes of Health criteria, and metabolic syndrome (MetS) using the National Cholesterol Education Programme Adult Treatment Programme III criteria. The outcome was prevalence of MetS by PCOS status; relationship of PCOS with MetS before and after adjustment for markers of obesity and insulin resistance. Results Women with PCOS had a significantly higher body mass index (BMI) ( P = 0.0001) and MetS was more frequent in women with PCOS (51%) than those without PCOS (23%) ( P = 0.003). The most frequent components of MetS in both groups were a high density lipoprotein cholesterol ≤1.29 mmol/L (80% PCOS, 55% non-PCOS) and a waist circumference >88 cm (77% PCOS, 41% non-PCOS); these were significantly more frequent in women with PCOS ( P = 0.01). In logistic regression models, PCOS was significantly associated with MetS by itself but not after adjustment for BMI or sex hormone binding globulin. Conclusions While MetS was more common in Indigenous women with PCOS, PCOS was not an independent predictor of MetS. This may be because obesity and insulin resistance are integral parts of PCOS and are the mechanisms through which PCOS exerts metabolic effects. [ABSTRACT FROM AUTHOR]

The Australian experience of gonadotrophin stimulation is a useful example of steps that lead to a country deciding to use recombinant FSH solely. [ABSTRACT FROM AUTHOR]

Study Question: What is the recommended management for couples presenting with unexplained infertility (UI), based on the best available evidence in the literature?, Summary Answer: The evidence-based guideline on UI makes 52 recommendations on the definition, diagnosis, and treatment of UI., What Is Known Already: UI is diagnosed in the absence of any abnormalities of the female and male reproductive systems after 'standard' investigations. However, a consensual standardization of the diagnostic work-up is still lacking. The management of UI is traditionally empirical. The efficacy, safety, costs, and risks of treatment options have not been subjected to robust evaluation., Study Design, Size, Duration: The guideline was developed according to the structured methodology for ESHRE guidelines. Following formulation of key questions by a group of experts, literature searches, and assessments were undertaken. Papers written in English and published up to 24 October 2022 were evaluated., Participants/materials, Setting, Methods: Based on the available evidence, recommendations were formulated and discussed until consensus was reached within the guideline development group (GDG). Following stakeholder review of an initial draft, the final version was approved by the GDG and the ESHRE Executive Committee., Main Results and the Role of Chance: This guideline aims to help clinicians provide the best care for couples with UI. As UI is a diagnosis of exclusion, the guideline outlined the basic diagnostic procedures that couples should/could undergo during an infertility work-up, and explored the need for additional tests. The first-line treatment for couples with UI was deemed to be IUI in combination with ovarian stimulation. The place of additional and alternative options for treatment of UI was also evaluated. The GDG made 52 recommendations on diagnosis and treatment for couples with UI. The GDG formulated 40 evidence-based recommendations-of which 29 were formulated as strong recommendations and 11 as weak-10 good practice points and two research only recommendations. Of the evidence-based recommendations, none were supported by high-quality evidence, one by moderate-quality evidence, nine by low-quality evidence, and 31 by very low-quality evidence. To support future research in UI, a list of research recommendations was provided., Limitations, Reasons for Caution: Most additional diagnostic tests and interventions in couples with UI have not been subjected to robust evaluation. For a large proportion of these tests and treatments, evidence was very limited and of very low quality. More evidence is required, and the results of future studies may result in the current recommendations being revised., Wider Implications of the Findings: The guideline provides clinicians with clear advice on best practice in the care of couples with UI, based on the best evidence currently available. In addition, a list of research recommendations is provided to stimulate further studies in the field. The full guideline and a patient leaflet are available in www.eshre.eu/guideline/UI., Study Funding/competing Interest(s): The guideline was developed by ESHRE, who funded the guideline meetings, literature searches, and dissemination of the guideline in collaboration with the Monash University led Australian NHMRC Centre of Research Excellence in Women's Health in Reproductive Life (CREWHIRL). The guideline group members did not receive any financial incentives; all work was provided voluntarily. D.R. reports honoraria from IBSA and Novo Nordisk. B.A. reports speakers' fees from Merck, Gedeon Richter, Organon and Intas Pharma; is part of the advisory board for Organon Turkey and president of the Turkish Society of Reproductive Medicine. S.B. reports speakers' fees from Merck, Organon, Ferring, the Ostetric and Gynaecological Society of Singapore and the Taiwanese Society for Reproductive Medicine; editor and contributing author, Reproductive Medicine for the MRCOG, Cambridge University Press; is part of the METAFOR and CAPE trials data monitoring committee. E.B. reports research grants from Roche diagnostics, Gedeon Richter and IBSA; speaker's fees from Merck, Ferring, MSD, Roche Diagnostics, Gedeon Richter, IBSA; E.B. is also a part of an Advisory Board of Ferring Pharmaceuticals, MSD, Roche Diagnostics, IBSA, Merck, Abbott and Gedeon Richter. M.M. reports consulting fees from Mojo Fertility Ltd. R.J.N. reports research grant from Australian National Health and Medical Research Council (NHMRC); consulting fees from Flinders Fertility Adelaide, VinMec Hospital Hanoi Vietnam; speaker's fees from Merck Australia, Cadilla Pharma India, Ferring Australia; chair clinical advisory committee Westmead Fertility and research institute MyDuc Hospital Vietnam. T.P. is a part of the Research Council of Finland and reports research grants from Roche Diagnostics, Novo Nordics and Sigrid Juselius foundation; consulting fees from Roche Diagnostics and organon; speaker's fees from Gedeon Richter, Roche, Exeltis, Organon, Ferring and Korento patient organization; is a part of NFOG, AE-PCOS society and several Finnish associations. S.S.R. reports research grants from Roche Diagnostics, Organon, Theramex; consulting fees from Ferring Pharmaceuticals, MSD and Organon; speaker's fees from Ferring Pharmaceuticals, MSD/Organon, Besins, Theramex, Gedeon Richter; travel support from Gedeon Richter; S.S.R. is part of the Data Safety Monitoring Board of TTRANSPORT and deputy of the ESHRE Special Interest Group on Safety and Quality in ART; stock or stock options from IVI Lisboa, Clínica de Reprodução assistida Lda; equipment/medical writing/gifts from Roche Diagnostics and Ferring Pharmaceuticals. S.K.S. reports speakers' fees from Merck, Ferring, MSD, Pharmasure. HRV reports consulting and travel fees from Ferring Pharmaceuticals. The other authors have nothing to disclose., Disclaimer: This guideline represents the views of ESHRE, which were achieved after careful consideration of the scientific evidence available at the time of preparation. In the absence of scientific evidence on certain aspects, a consensus between the relevant ESHRE stakeholders has been obtained. Adherence to these clinical practice guidelines does not guarantee a successful or specific outcome, nor does it establish a standard of care. Clinical practice guidelines do not replace the need for application of clinical judgment to each individual presentation, nor variations based on locality and facility type. ESHRE makes no warranty, express or implied, regarding the clinical practice guidelines and specifically excludes any warranties of merchantability and fitness for a particular use or purpose. (Full disclaimer available at www.eshre.eu/guidelines.)., (© The Author(s) 2023. Published by Oxford University Press on behalf of European Society of Human Reproduction and Embryology.)

Objective: To determine: (1) the association between metabolic syndrome (MetS), time to pregnancy (TTP), and infertility; (2) associations between individual and an increasing number of MetS components, TTP, and infertility; and (3) whether these relationships differ by body mass index (BMI < 30 kg/m 2 versus BMI ≥ 30 kg/m 2 )., Design: Retrospective cohort study., Setting: Multiple centres (in Australia, Ireland, New Zealand, and the UK)., Population: Five thousand five hundred and nineteen low-risk nulliparous pregnant women., Methods: Data on retrospectively reported TTP (number of months to conceive) and a blood sample to assess metabolic health were collected between 14 and 16 weeks of gestation. MetS was defined according to the International Diabetes Federation criteria. Accelerated failure time models with log-normal distribution were conducted to estimate time ratios (TRs) and 95% CIs. Differences in MetS on infertility (TTP > 12 months) were compared using a generalised linear model (Poisson distribution) with robust variance estimates (relative risks, RRs; 95% CIs). All analyses (entire cohort and split by BMI) were controlled for a range of maternal and paternal confounding factors., Main Outcome Measures: Time to pregnancy and infertility., Results: Of the 5519 women included, 12.4% (n = 684) had MetS. Compared with women without MetS, women with MetS had a longer TTP (adjusted TR 1.30; 95% CI 1.15-1.46), which was similar in women who were obese and in women who were not obese. Marginal estimates for median TTP in women with MetS versus without MetS was 3.1 months (3.0-3.3 months) versus 4.1 months (3.6-4.5 months), respectively. Women with MetS were at a 62% greater risk for infertility and were at a greater risk for infertility whether they were obese (adjusted RR 1.62; 95% CI 1.15-2.29) or not (adjusted RR 1.73; 95% CI 1.33-2.23). Reduced high-density lipoprotein cholesterol (HDL-C) and raised triglycerides (TGs) were the main individual components associated with risk for infertility., Conclusion: Metabolic syndrome is associated with longer TTP and infertility, independent of obesity. Additional studies, before pregnancy, are required to support our findings and to determine the applicability of which combinations of metabolic abnormalities pose the greatest risk to delayed fertility, or whether individual components are amenable to modification., Tweetable Abstract: Metabolic syndrome is associated with longer time to pregnancy and infertility, independent of obesity., (© 2019 Royal College of Obstetricians and Gynaecologists.)

As assisted reproductive technology (ART) expanded globally, several countries introduced prescribed requirements for treatment and monitoring of outcomes, as well as a licensing or accreditation requirement. While it is common for ART laboratories to be required to have an effective quality control system, the remainder of the clinic is often under less stringent regulation. Furthermore, when treatment conditions are prescribed, the standards tend to be conservative and clinics may choose to establish their own standards. Total quality management systems are now being used by an increasing number of ART clinics. In Australia and New Zealand, it is now a requirement to have a quality management system in order to be accredited and to help meet customer demand for improved delivery of ART services in these two countries.

The human androgen receptor (AR) gene contains a polymorphic trinucleotide (CAG) repeat sequence in exon 1. The number of CAG repeats may confer differential receptor activity, and specific ranges of variants have been correlated with androgen-sensitive disease processes. Polycystic ovary syndrome (PCOS) is a female condition characterized by androgen excess and infertility, many features of which are effected through the AR. We compared frequency distributions of CAG repeat alleles and their pattern of expression via X-inactivation analysis among 83 fertile women and 122 infertile women with PCOS, all of Australian Caucasian ethnicity. A population comparison with 831 predominantly fertile Australian women was also used. PCR-based assays were used to genotype each woman and assess allele inactivation patterns after digestion of DNA with methylation-sensitive HpaII. Infertile women with PCOS exhibited a greater frequency of CAG alleles or biallelic means greater than 22 repeats compared with both the fertile control group (P < 0.05) and the general population (P < 0.01). Preferential expression of longer CAG repeat alleles was also observed in PCOS and correlated with increased serum T. We conclude that the AR (CAG)n gene locus and/or its differential methylation patterns influence the disease process leading to PCOS.

The species of Physaloptera Rudolphi, 1819 (Nematoda: Spirurida) occurring in bandicoots (families Peramelidae and Thalacomyidae) in Australia were re-examined and re-described. Physaloptera peramelis Johnston & Mawson, 1939 was found in Perameles nasuta Geoffroy and occasionally in Isoodon macrourus (Gould) in eastern Australia. Ph. peragale Johnson & Mawson, 1940 from Macrotis leucura (Thomas) from the Northern Territory is treated as a junior synonym of Ph. peramelis. Ph. thalacomys Johnston & Mawson, 1940, originally described from Macrotis leucura from the Northern Territory was also found to occur in Perameles gunnii Gray in Victoria. Specimens here identified simply as Physaloptera sp. were found in both Perameles nasuta and Isoodon macrourus from north-eastern New South Wales. They may be Ph. parvicollaris Johnston & Mawson, 1940 or Ph. sarcophili Johnston & Mawson, 1940, but current deficiencies in the descriptions of these two named species preclude an unequivocal identification of the specimens found in bandicoots.

Objective: To examine different patterns of glucose and insulin secretion in women (of both Indian and white ethnic backgrounds) with polycystic ovary syndrome (PCOS)., Design: A 75-g oral glucose tolerance test was performed in 11 subjects from each group., Setting: Reproductive Medicine and Gynecological Clinics from The Queen Elizabeth Hospital, Woodville, South Australia, and King Edward the VIIIth Hospital, Durban, South Africa., Patients: Couples were grouped as follows: Indian nonobese and obese PCOS, Indian nonobese and obese reference subjects, white nonobese and obese PCOS, white nonobese and obese reference subjects., Main Outcome Measure: Insulin and glucose in plasma after oral glucose testing., Results: Indian PCOS and nonobese reference subjects had higher insulin responses than whites. The ethnic difference was less pronounced in obese women. There were no ethnic differences in glucose response., Conclusion: This study demonstrates that the ethnic background of subjects with PCOS needs to be considered in studies on the metabolic parameters in this condition.