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Nuffield Department of Women's & Reproductive Health sits within the Medical Sciences Division of the University of Oxford. The department encompasses multi-disciplinary research across four overarching themes; Cancer, Global Health, Maternal & Fetal Health and Reproductive Medicine & Genetics
Endometriosis: A Review.
IMPORTANCE: Endometriosis is a chronic, estrogen-dependent, inflammatory disease defined by endometrial-like tissue (lesions) outside the uterine lining. It affects up to 10% of women worldwide, and 9 million women in the US, during reproductive years. OBSERVATIONS: Endometriosis has varying clinical presentations; however, 90% of people with endometriosis report pelvic pain, including dysmenorrhea, nonmenstrual pelvic pain, and dyspareunia, and 26% report infertility. Risk factors for endometriosis include younger age at menarche, shorter menstrual cycle length, lower body mass index, nulliparity, and congenital obstructive müllerian anomalies such as obstructed hemivagina. Although definitive diagnosis requires surgical visualization of lesions, a suspected clinical diagnosis can be made based on symptoms, supported by physical examination findings and imaging with transvaginal ultrasound and/or pelvic magnetic resonance imaging; normal physical examination and imaging do not exclude the diagnosis. The diagnosis is often delayed, averaging 5 to 12 years after onset of symptoms, with most women consulting 3 or more clinicians prior to diagnosis. Hormonal medications, such as combined oral contraceptives and progestin-only options, are first-line treatment and should be offered to symptomatic premenopausal women who do not currently desire pregnancy. In a network meta-analysis (n = 1680, 15 clinical trials), hormonal treatments including combined oral contraceptives, progestins, and gonadotropin-releasing hormone (GnRH) agonists led to clinically significant pain reduction compared with placebo, with mean differences ranging between 13.15 and 17.6 points (0-100 visual analog scale) with little difference in effectiveness among options. However, 11% to 19% of individuals with endometriosis have no pain reduction with hormonal medications and 25% to 34% experience recurrent pelvic pain within 12 months of discontinuing hormonal treatment. Surgical removal of lesions, usually with laparoscopy, should be considered if first-line hormonal therapies are ineffective or contraindicated. Second-line hormone therapies include GnRH agonists and antagonists, and third-line treatments include aromatase inhibitors. Hysterectomy with surgical removal of lesions may be considered when initial treatments are ineffective. However, approximately 25% of patients who undergo hysterectomy for endometriosis experience recurrent pelvic pain and 10% undergo additional surgery, such as lysis of adhesions, to treat pain. CONCLUSIONS AND RELEVANCE: Endometriosis is a common cause of pelvic pain affecting approximately 10% of reproductive-age women. Hormonal suppression with combined estrogen-progestin contraceptives or progestins is first-line treatment for women who are not seeking immediate pregnancy. Surgical removal of endometriosis lesions may be performed if hormonal therapies are ineffective or contraindicated, and hysterectomy may be considered if medical treatments and surgical removal of lesions do not relieve symptoms.
Blood Pressure Lowering and Risk of Cancer: Individual Participant-Level Data Meta-Analysis and Mendelian Randomization Studies.
BACKGROUND: Pharmacologic blood pressure (BP) lowering is typically a lifelong treatment, and both clinicians and patients may have concerns about the long-term use of antihypertensive agents and the risk for cancer. However, evidence from randomized controlled trials (RCTs) regarding the effect of long-term pharmacologic BP lowering on the risk for new-onset cancer is limited, with most knowledge derived from observational studies. OBJECTIVES: The aim of this study was to assess whether long-term BP lowering affects the risk for new-onset cancer, cause-specific cancer death, and selected site-specific cancers. METHODS: Individual-level data from 42 RCTs were pooled using a one-stage individual participant data meta-analysis. The primary outcome was incident cancer of all types, and secondary outcomes were cause-specific cancer death and selected site-specific cancers. Prespecified subgroup analyses were conducted to assess the heterogeneity of the BP-lowering effect by baseline variables and over follow-up time. Cox proportional hazards regression, stratified by trial, was used for the statistical analysis. For site-specific cancers, analyses were complemented with Mendelian randomization, using naturally randomized genetic variants associated with BP lowering to mimic the design of a long-term RCT. RESULTS: Data from 314,016 randomly allocated participants without known cancer at baseline were analyzed. Over a median follow-up of 4 years (Q1-Q3: 3-5 years), 17,954 participants (5.7%) developed cancer, and 4,878 (1.5%) died of cancer. In the individual participant data meta-analysis, no associations were found between reductions in systolic or diastolic BP and cancer risk (HR per 5 mm Hg reduction in systolic BP: 1.03 [95% CI: 0.99-1.06]; HR per 3 mm Hg reduction in diastolic BP: 1.03 [95% CI: 0.98-1.07]). No changes in relative risk for incident cancer were observed over follow-up time, nor was there evidence of heterogeneity in treatment effects across baseline subgroups. No effect on cause-specific cancer death was found. For site-specific cancers, no evidence of an effect was observed, except a possible link with lung cancer risk (HR for systolic BP reduction: 1.17; 99.5% CI: 1.02-1.32). Mendelian randomization studies showed no association between systolic or diastolic BP reduction and site-specific cancers, including overall lung cancer and its subtypes. CONCLUSIONS: Randomized data analysis provided no evidence to indicate that pharmacologic BP lowering has a substantial impact, either increasing or decreasing, on the risk for incident cancer, cause-specific cancer death, or selected site-specific cancers.
Using Single-Cell Raman Microspectroscopy to Profile Human Peripheral Blood Mononuclear Cells.
A reliable, validated test would enhance our ability to treat and research chronic conditions. Early and accurate diagnosis would provide an entry point into clinical care, give access to benefits, remove the stigma associated with these conditions, and importantly, provide researchers with a fundamental tool they require to study these heterogeneous disorders. In this chapter, we describe how Raman microspectroscopy can be utilised to study the biology of peripheral blood mononuclear cells (PBMCs) isolated from human blood samples. Using machine learning approaches, the data generated can be used to attempt to separate different patient and control groups, subgroups within a patient cohort, and identify differences in intracellular metabolites which may provide clues about disease mechanisms.
Melanin Nanoparticles as a Safe and Effective Iron Chelation Therapy: An ex vivo Assessment of Placental Transfer in Pregnant Beta-Thalassemia
Background: Iron toxicity is a major contributor to adverse pregnancy outcomes in women with transfusion-dependent thalassemia. Currently used iron chelators are not recommended during pregnancy, as they can cross the placenta causing potential risk to the fetus. However, ceasing medication may adversely affect the mother’s health in both the short-and long-term. Objective: We previously demonstrated that melanin nanoparticles can effectively chelate iron, and this has been confirmed by others in iron-overloaded mice. This study aims to assess whether these nanoparticles cross the placenta and evaluate their biocompatibility and haemocompatibility. Study Design: A library of 50 nm, 200 nm, and 500 nm melanin nanoparticles were synthesized and coated with Polyethylene Glycol (PEG) to improve their stability. The particles were tested for chelating iron efficacy in and biocompatibility. An in vitro BeWo (choriocarcinoma) cell model and ex vivo human placental perfusion system were used to assess nanoparticle transplacental passage. Results: Melanin nanoparticles of all sizes were able to chelate iron with a maximum adsorption of 14 mm iron/g of material; significantly higher than Desferrioxamine (DFO) of the same concentration. It was also determined that PEGylated melanin nanoparticles with appropriate size (cut off 200 nm) could be restricted from passing across the placental barrier in an in vitro model using a human choriocarcinoma cell line and in an ex vivo human placental perfusion model. The particles did not cause red cell haemolysis or blood clotting at concentrations up to 1 mM. Conclusion: It was demonstrated herein that transport of MNPs across the placental barrier is highly dependent on particle size (cut off size of 200 nm PEGylated MNPs). Findings suggest the possibility of providing a safe method of iron chelation during pregnancy. Future work in in vivo models will be applied to study systemic particle interaction. Plain Language Summary: At present, clinicians are faced with the choice of whether to continue maternal chelation therapy with possible risk to the fetus, or to cease medication with risk to the mother. The latter may adversely affect the mother’s health long after delivery of the baby. Although there are very few clinical trials on using DFO during pregnancy, the use of the small MW DFO on pregnant women is contraindicated. Thus, DFO is classified by the Food and Drug Association as category C during pregnancy due to severe skeletal anomalies and teratogenic effects reported in animal studies. PEGylated melanin nanoparticles (MNPs) of 200 nm or larger are unable to cross the placenta, as shown in both an in vitro BeWo cell model and an ex vivo human placental perfusion model. These findings suggest that MNPs may be a safer option for iron chelation during pregnancy. However, pre-clinical animal testing and clinical trials are needed to determine overall interaction of MNPs in vivo before routine use in a clinical setting. The exclusion of pregnant women from clinical trials has limited research on medications specifically designed for pregnancy with only a couple of drugs developed in the past four decades.1 There is a critical need to fill the knowledge gap regarding safer and effective therapeutics in this population. The use of clinically approved nanoparticles in pregnancy has increased rapidly; with the Covid 19 vaccines developed by Pfizer and Moderna being prominent examples. These vaccines have been used in a large population of pregnant women without reports of unfavorable complications,2 paving the way for more nanoparticle medications to be used in the future.
A deep learning sex-specific body composition ageing biomarker using dual-energy X-ray absorptiometry scan.
BACKGROUND: Chronic diseases are closely linked to alterations in body composition, yet there is a need for reliable biomarkers to assess disease risk and progression. This study aimed to develop and validate a biological age indicator based on body composition derived from dual-energy X-ray absorptiometry (DXA) scans, offering a novel approach to evaluating health status and predicting disease outcomes. METHODS: A deep learning model was trained on a reference population from the UK Biobank to estimate body composition biological age (BCBA). The model's performance was assessed across various groups, including individuals with typical and atypical body composition, those with pre-existing diseases, and those who developed diseases after DXA imaging. Key metrics such as c-index were employed to examine BCBA's diagnostic and prognostic potential for type 2 diabetes, major adverse cardiovascular events (MACE), atherosclerotic cardiovascular disease (ASCVD), and hypertension. RESULTS: Here we show that BCBA strongly correlates with chronic disease diagnoses and risk prediction. BCBA demonstrated significant associations with type 2 diabetes (odds ratio 1.08 for females and 1.04 for males, p
Effects of preconception nutrition interventions on pregnancy and birth outcomes in South Asia: a systematic review
Undernutrition amongst reproductive age women, low birth weight, small for gestational age and preterm birth present significant health burdens in South Asia which interventions in pregnancy alone have not resolved. Effectiveness of preconception nutrition interventions is not well-documented. This systematic review summarises evidence on the effect of preconception nutrition interventions on pregnancy and birth outcomes in South Asia. We found highly heterogeneous evidence across four micronutrient supplementation, two food supplementation, and three complex interventions trials. Preconception micronutrient supplementation alone did not affect birth size, but food supplementation was effective with and without multiple micronutrients, especially when initiated at least 90 days before conception. Combined health, nutrition, psychosocial care, and WaSH interventions addressing determinants at multiple levels were most effective. However intensive delivery by project employees poses problems for scale-up. More robust South Asian preconception intervention trials to identify scalable interventions that are effective in real-world delivery settings are needed. Funding: UNICEF Regional Office for South Asia contract number 43384734.
Bridging the gaps: advancing preconception nutrition in South Asia through evidence, policy, and action
This paper summarises the research, policy, and program gaps impeding the advancement of preconception nutrition in South Asia. In line with our evidence reviews, qualitative semi-structured interviews with researchers and programme implementers identified gaps in our understanding of the prevalence and burden of preconception malnutrition due to limited survey and programme data, poor coverage of recommended interventions, and gaps in programme knowledge on effective intervention mechanism. Key barriers identified were the lack of evidence linking preconception care with long-term maternal and child health and nutrition outcomes and how to integrate preconception nutrition interventions into national health systems. We highlight the need for evidence-based, context-specific interventions which utilise effective delivery platforms and engage appropriate actors to reach diverse groups of women and men during the preconception period. We, as part of the South Asia Preconception Nutrition Collective, present actionable recommendations to address these gaps. Funding: UNICEF Regional Office for South Asia contract number 43384734.
Policies and programmes to improve preconception nutrition in South Asia
The health and health behaviours of women before conception significantly influence maternal and child health outcomes. Despite growing evidence supporting preconception nutrition care, data on the implementation of related policies and programmes remains limited. This paper reviews public policies and programmes delivering preconception nutrition interventions in eight South Asian countries, targeting married pre-pregnant women aged 15–49 years and identifies the systems bottlenecks in programme implementation. Most countries, except Sri Lanka, lack universal programmes for health and nutrition screening, provision of essential micronutrients, counselling on healthy eating and treatment for at-risk women. Even in countries, where supportive policies exist, implementation of comprehensive nutrition services for pre-pregnant women faces significant bottlenecks across six health system building blocks. Addressing these barriers is critical to improving intervention effectiveness, programme implementation, and informed decision-making. Further testing of a proposed comprehensive algorithm for preconception nutrition in diverse country contexts across South Asia is necessary.
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Feature Space-Guided Inversion
Deep learning models have demonstrated exceptional performance in a variety of real-world applications. These successes are often attributed to strong base models that can generalize to novel tasks with limited supporting data while keeping prior knowledge intact. However, these impressive results are based on the availability of a large amount of high-quality data, which is often lacking in specialized biomedical applications. In such fields, models are usually developed with limited data that arrive incrementally with novel categories. This requires the model to adapt to new information while preserving existing knowledge. Few-Shot Class-Incremental Learning (FSCIL) methods offer a promising approach to addressing these challenges, but they also depend on strong base models that face the same aforementioned limitations. To overcome these constraints, we propose AnchorInv following the straightforward and efficient buffer-replay strategy. Instead of selecting and storing raw data, AnchorInv generates synthetic samples guided by anchor points in the feature space. This approach protects privacy and regularizes the model for adaptation. When evaluated on three public physiological time series datasets, AnchorInv exhibits efficient knowledge forgetting prevention and improved adaptation to novel classes, surpassing state-of-the-art baselines.
Preconception malnutrition among women and girls in south Asia: prevalence, determinants, and association with pregnancy and birth outcomes
This review highlights the growing double burden of malnutrition among women of reproductive age in South Asia. Using nationally-representative survey data, we highlight that the prevalence of overweight now exceeds that of underweight, while anaemia remains persistently high despite intervention efforts. Underweight and anaemia are more common among unmarried women, whereas overweight is more prevalent among parous women, underscoring the need for life-stage-specific preconception nutrition programs. In our systematic review, micronutrient deficiencies vary widely between and within countries, reflecting regional disparities in nutritional status and inconsistencies in diagnostic methods. Associations of preconception underweight, overweight, anaemia and micronutrient deficiencies with health, nutrition, socio-demographic, and WASH indicators are mixed, emphasising the need for tailored, context-specific interventions. The lack of longitudinal studies limits our understanding of associations between preconception nutritional status and subsequent birth outcomes, underscoring the need for comprehensive, longitudinal studies across South Asia to inform and monitor targeted nutrition programs.
Incidence, outcomes and management of spontaneous haemoperitoneum in pregnancy: a UK population-based study
Background Spontaneous haemoperitoneum in pregnancy (SHiP) is the occurrence during pregnancy of sudden intra-abdominal haemorrhage unrelated to extrauterine pregnancy, trauma or uterine rupture. SHiP is uncommon but is associated with preterm birth, high perinatal mortality and, more rarely, maternal mortality. We investigated the incidence of SHiP in the UK and its diagnosis, management and outcomes. Methods This two-year, prospective surveillance study used the UK Obstetric Surveillance System to collect anonymous data on all women who gave birth in a UK consultant-led maternity unit in 2016 and 2017 and who experienced SHiP. Results We confirmed 20 cases of SHiP, giving an estimated incidence of 1.3 cases per 100,000 maternities, or 1 per 75,614 maternities. The median gestational age at diagnosis was 35.7 weeks (IQR 29.9–38.4 weeks). A minority of affected women were receiving anticoagulant agents for prophylaxis (2/20) or treatment (4/20). The most common initial suspected diagnosis was placental abruption (7/20), followed by intra-abdominal bleeding, uterine rupture, or infection. SHiP was diagnosed using ultrasound in four women, using CT in five, and solely at surgery in 14. Aneurysms (4/20) and organ rupture or haematoma (5/20) were the most common bleeding source, and the condition was most commonly diagnosed and treated by laparotomy (11/20). Perinatal morbidity and mortality were high, with 16% of infants stillborn, an over 80% admission rate to the neonatal unit among the 16 live-born infants, major complications in a third of these infants, and one neonatal death. Maternal morbidity was also high, with 60% of women admitted to the intensive care unit, over half of whom experienced major morbidity, and one maternal death. Conclusions SHiP is rare in the UK but when it occurs, it can be associated with major maternal morbidity and mortality, and perinatal outcomes are poor. International comparisons are complicated by differing definitions of SHiP.
Rapid identification of bacterial isolates using microfluidic adaptive channels and multiplexed fluorescence microscopy.
We demonstrate the rapid capture, enrichment, and identification of bacterial pathogens using Adaptive Channel Bacterial Capture (ACBC) devices. Using controlled tuning of device backpressure in polydimethylsiloxane (PDMS) devices, we enable the controlled formation of capture regions capable of trapping bacteria from low cell density samples with near 100% capture efficiency. The technical demands to prepare such devices are much lower compared to conventional methods for bacterial trapping and can be achieved with simple benchtop fabrication methods. We demonstrate the capture and identification of seven species of bacteria with bacterial concentrations lower than 1000 cells per mL, including common Gram-negative and Gram-positive pathogens such as Escherichia coli and Staphylococcus aureus. We further demonstrate that species identification of the trapped bacteria can be undertaken in the order of one-hour using multiplexed 16S rRNA-FISH with identification accuracies of 70-98% with unsupervised classification methods across 7 species of bacteria. Finally, by using the bacterial capture capabilities of the ACBC chip with an ultra-rapid antimicrobial susceptibility testing method employing fluorescence imaging and convolutional neural network (CNN) classification, we demonstrate that we can use the ACBC chip as an imaging flow cytometer that can predict the antibiotic susceptibility of E. coli cells after identification.
Infection Inspection: using the power of citizen science for image-based prediction of antibiotic resistance in Escherichia coli treated with ciprofloxacin.
Antibiotic resistance is an urgent global health challenge, necessitating rapid diagnostic tools to combat its threat. This study uses citizen science and image feature analysis to profile the cellular features associated with antibiotic resistance in Escherichia coli. Between February and April 2023, we conducted the Infection Inspection project, in which 5273 volunteers made 1,045,199 classifications of single-cell images from five E. coli strains, labelling them as antibiotic-sensitive or antibiotic-resistant based on their response to the antibiotic ciprofloxacin. User accuracy in image classification reached 66.8 ± 0.1%, lower than our deep learning model's performance at 75.3 ± 0.4%, but both users and the model were more accurate when classifying cells treated at a concentration greater than the strain's own minimum inhibitory concentration. We used the users' classifications to elucidate which visual features influence classification decisions, most importantly the degree of DNA compaction and heterogeneity. We paired our classification data with an image feature analysis which showed that most of the incorrect classifications happened when cellular features varied from the expected response. This understanding informs ongoing efforts to enhance the robustness of our diagnostic methodology. Infection Inspection is another demonstration of the potential for public participation in research, specifically increasing public awareness of antibiotic resistance.
Prediction Models for Maternal and Offspring Short- and Long-Term Outcomes Following Gestational Diabetes: A Systematic Review.
OBJECTIVES: Gestational diabetes mellitus (GDM), affecting one in seven pregnant women worldwide, can have short- and long-term adverse outcomes for both the mother and her baby. Despite a raft of prognostic models aiming to predict adverse GDM outcomes, very few have impacted clinical practice. This systematic review summarizes and critically evaluates prediction models for GDM outcomes, to identify promising models for further evaluation. METHODS: We searched EMBASE, MEDLINE, Web of Science, CINAHL, and CENTRAL for studies that reported the development or validation of predictive models for GDM outcomes in mother or offspring (PROSPERO: CRD42023396697). RESULTS: Sixty-four articles detailing 103 developed and 12 validated models were included in this review. Of these, 45% predicted long term, 31% birth, and 23% pregnancy outcomes. Most models (87%) had a high risk of bias, lacking sufficient outcome events, internal validation, or proper calibration. Only eight models were found at low risk of bias. CONCLUSIONS: Our findings highlight a gap in rigorously developed prediction models for adverse GDM outcomes. There is a need to further validate existing models and evaluate their clinical utility to generate risk prediction tools capable of improving clinical decision-making for women with GDM and their children.
Adverse drug reactions that arise from the use of medicinal products outside the terms of the marketing authorisation.
BACKGROUND: New European (EU) pharmacovigilance (PV) legislation, introduced in 2012, widened the scope of an Adverse Drug Reactions (ADR) definition so that it also includes noxious and unintended response to a medicinal product arising from the use outside the terms of the marketing authorisation (MA), whereby the use outside the MA also includes off-label use, overdose, misuse, abuse and medication errors (MEs). OBJECTIVES: To explore the ADRs arising from the use outside the terms of the MA reports in the Croatian pharmacovigilance database. METHODS: A retrospective, observational study of the HALMED PV database was undertaken before and after the implementation of the new legislation in Croatia. The outcome measure included ADRs arising from the use of the products outside the terms of the MA. An assessment was performed based on the information provided in a reference document, an SmPC, using predefined criteria. RESULTS: Among 679 ADRs included in the analysis, 162 (23,9%) ADR reports were related to the use outside of the MA, 370 (54,5%) were related to the use within the MA and 147 (21,6%) were adjudged as not-assessable. Our study demonstrated a significant increase in the number of ADRs arising from the use outside the terms of the MA after the implementation of the new legislation (P = 0,039), primarily due to a notable increase in the number of overdose reports received by the poisoning centre, while the number of ADRs caused by MEs did not change significantly (p = 0,672). CONCLUSION: This study elucidated partial implementation of the new EU PV legislation and the need for instilling proper education for patients and HCPs, improving reporting systems and strengthening collaboration between relevant stakeholders.
A method to isolate syncytiotrophoblast-derived medium-large extracellular vesicle small RNA from maternal plasma.
Syncytiotrophoblast-derived extracellular vesicles (STB-EVs) have an important role in placental research: both as mediators of feto-maternal signalling and as liquid biopsies reflecting placental health. Recent evidence highlights the importance of STB-EV RNA. Isolation of STB-EV RNA from maternal blood is therefore an important challenge. We describe a novel technique where we first separate medium-large particles from plasma using centrifugation then use a highly specific bead-bound antibody to placental alkaline phosphatase to separate STB-EVs from other similar-sized particles. We demonstrate the yield and size profile of small RNA obtained from plasma STB-EVs. We present data confirming isolation of placenta-derived micro RNA from maternal plasma using this method. The technique has been successfully applied to validate novel RNA discoveries from placental perfusion models. We propose it could offer new insights through transcriptomic analyses, providing a syncytiotrophoblast-specific signal from maternal blood.