PROSPECT: 4- and 6-year follow-up of a randomised trial of surgery for vaginal prolapse.

INTRODUCTION AND HYPOTHESIS: Our aim was to compare the mid-term results of native tissue, biological xenograft and polypropylene mesh surgery for women with vaginal wall prolapse. METHODS: A total of 1348 women undergoing primary transvaginal repair of an anterior and/or posterior prolapse were recruited between January 2010 and August 2013 from 35 UK centres. They were randomised by remote allocation to native tissue surgery, biological xenograft or polypropylene mesh. We performed both 4- and 6-year follow-up using validated patient-reported outcome measures. RESULTS: At 4 and 6 years post-operation, there was no clinically important difference in Pelvic Organ Prolapse Symptom Score for any of the treatments. Using a strict composite outcome to assess functional cure at 6 years, we found no difference in cure among the three types of surgery. Half the women were cured at 6 years but only 10.3 to 12% of women had undergone further surgery for prolapse. However, 8.4% of women in the mesh group had undergone further surgery for mesh complications. There was no difference in the incidence of chronic pain or dyspareunia between groups. CONCLUSIONS: At the mid-term outcome of 6 years, there is no benefit from augmenting primary prolapse repairs with polypropylene mesh inlays or biological xenografts. There was no evidence that polypropylene mesh inlays caused greater pain or dyspareunia than native tissue repairs.

Evaluation of midwifery pelvic floor education and Training across the UK and Spain.

OBJECTIVES: The aim of this study was to evaluate current education and training of student and registered midwives across the UK and Spain; analysing both pelvic floor teaching and practical experience. STUDY DESIGN: A cross-sectional survey was carried out by 711 student and 384 registered midwives across different universities and regions in the UK and Spain. RESULTS: The vast majority (91.5 % n = 382) of UK students complete training without ever cutting or repairing an episiotomy. This compares to 39.4 % (n = 85) of registered midwives who did not cut an episiotomy during training. Only 20 % (n = 9) of Spanish and 10 % (n = 45) of UK registered midwives felt confident undertaking these techniques. In Spain just 15 % (n = 6) of students, compared to 54.8 % (n = 80) of registered midwives had received teaching on longer-term pelvic floor complications. CONCLUSION: There is a considerable deficit in the current training practices for midwives regarding episiotomies. This lack of practice and confidence may be impacting on the increased rates of perineal tears and pelvic dysfunction in post-partum women. Across registered midwives there are gaps in education regarding longer-term pelvic floor complications. Our study was limited by a smaller sample size from Spain compared to the UK. Our results show practical assessment of skills during training is desirable and could improve both the confidence and competence of midwives upon registration.

Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City.

OBJECTIVE: The COVID-19 pandemic is a global public health crisis, with over 33 million cases and 999 000 deaths worldwide. Data are needed regarding the clinical course of hospitalised patients, particularly in the USA. We aimed to compare clinical characteristic of patients with COVID-19 who had in-hospital mortality with those who were discharged alive. DESIGN: Demographic, clinical and outcomes data for patients admitted to five Mount Sinai Health System hospitals with confirmed COVID-19 between 27 February and 2 April 2020 were identified through institutional electronic health records. We performed a retrospective comparative analysis of patients who had in-hospital mortality or were discharged alive. SETTING: All patients were admitted to the Mount Sinai Health System, a large quaternary care urban hospital system. PARTICIPANTS: Participants over the age of 18 years were included. PRIMARY OUTCOMES: We investigated in-hospital mortality during the study period. RESULTS: A total of 2199 patients with COVID-19 were hospitalised during the study period. As of 2 April, 1121 (51%) patients remained hospitalised, and 1078 (49%) completed their hospital course. Of the latter, the overall mortality was 29%, and 36% required intensive care. The median age was 65 years overall and 75 years in those who died. Pre-existing conditions were present in 65% of those who died and 46% of those discharged. In those who died, the admission median lymphocyte percentage was 11.7%, D-dimer was 2.4 µg/mL, C reactive protein was 162 mg/L and procalcitonin was 0.44 ng/mL. In those discharged, the admission median lymphocyte percentage was 16.6%, D-dimer was 0.93 µg/mL, C reactive protein was 79 mg/L and procalcitonin was 0.09 ng/mL. CONCLUSIONS: In our cohort of hospitalised patients, requirement of intensive care and mortality were high. Patients who died typically had more pre-existing conditions and greater perturbations in inflammatory markers as compared with those who were discharged.

Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation.

BACKGROUND: COVID-19 has infected millions of people worldwide and is responsible for several hundred thousand fatalities. The COVID-19 pandemic has necessitated thoughtful resource allocation and early identification of high-risk patients. However, effective methods to meet these needs are lacking. OBJECTIVE: The aims of this study were to analyze the electronic health records (EHRs) of patients who tested positive for COVID-19 and were admitted to hospitals in the Mount Sinai Health System in New York City; to develop machine learning models for making predictions about the hospital course of the patients over clinically meaningful time horizons based on patient characteristics at admission; and to assess the performance of these models at multiple hospitals and time points. METHODS: We used Extreme Gradient Boosting (XGBoost) and baseline comparator models to predict in-hospital mortality and critical events at time windows of 3, 5, 7, and 10 days from admission. Our study population included harmonized EHR data from five hospitals in New York City for 4098 COVID-19-positive patients admitted from March 15 to May 22, 2020. The models were first trained on patients from a single hospital (n=1514) before or on May 1, externally validated on patients from four other hospitals (n=2201) before or on May 1, and prospectively validated on all patients after May 1 (n=383). Finally, we established model interpretability to identify and rank variables that drive model predictions. RESULTS: Upon cross-validation, the XGBoost classifier outperformed baseline models, with an area under the receiver operating characteristic curve (AUC-ROC) for mortality of 0.89 at 3 days, 0.85 at 5 and 7 days, and 0.84 at 10 days. XGBoost also performed well for critical event prediction, with an AUC-ROC of 0.80 at 3 days, 0.79 at 5 days, 0.80 at 7 days, and 0.81 at 10 days. In external validation, XGBoost achieved an AUC-ROC of 0.88 at 3 days, 0.86 at 5 days, 0.86 at 7 days, and 0.84 at 10 days for mortality prediction. Similarly, the unimputed XGBoost model achieved an AUC-ROC of 0.78 at 3 days, 0.79 at 5 days, 0.80 at 7 days, and 0.81 at 10 days. Trends in performance on prospective validation sets were similar. At 7 days, acute kidney injury on admission, elevated LDH, tachypnea, and hyperglycemia were the strongest drivers of critical event prediction, while higher age, anion gap, and C-reactive protein were the strongest drivers of mortality prediction. CONCLUSIONS: We externally and prospectively trained and validated machine learning models for mortality and critical events for patients with COVID-19 at different time horizons. These models identified at-risk patients and uncovered underlying relationships that predicted outcomes.

Clinical Characteristics of Hospitalized Covid-19 Patients in New York City.

BACKGROUND: The coronavirus 2019 (Covid-19) pandemic is a global public health crisis, with over 1.6 million cases and 95,000 deaths worldwide. Data are needed regarding the clinical course of hospitalized patients, particularly in the United States. METHODS: Demographic, clinical, and outcomes data for patients admitted to five Mount Sinai Health System hospitals with confirmed Covid-19 between February 27 and April 2, 2020 were identified through institutional electronic health records. We conducted a descriptive study of patients who had in-hospital mortality or were discharged alive. RESULTS: A total of 2,199 patients with Covid-19 were hospitalized during the study period. As of April 2 nd , 1,121 (51%) patients remained hospitalized, and 1,078 (49%) completed their hospital course. Of the latter, the overall mortality was 29%, and 36% required intensive care. The median age was 65 years overall and 75 years in those who died. Pre-existing conditions were present in 65% of those who died and 46% of those discharged. In those who died, the admission median lymphocyte percentage was 11.7%, D-dimer was 2.4 ug/ml, C-reactive protein was 162 mg/L, and procalcitonin was 0.44 ng/mL. In those discharged, the admission median lymphocyte percentage was 16.6%, D-dimer was 0.93 ug/ml, C-reactive protein was 79 mg/L, and procalcitonin was 0.09 ng/mL. CONCLUSIONS: This is the largest and most diverse case series of hospitalized patients with Covid-19 in the United States to date. Requirement of intensive care and mortality were high. Patients who died typically had pre-existing conditions and severe perturbations in inflammatory markers.

MEWS++: Enhancing the Prediction of Clinical Deterioration in Admitted Patients through a Machine Learning Model.

Early detection of patients at risk for clinical deterioration is crucial for timely intervention. Traditional detection systems rely on a limited set of variables and are unable to predict the time of decline. We describe a machine learning model called MEWS++ that enables the identification of patients at risk of escalation of care or death six hours prior to the event. A retrospective single-center cohort study was conducted from July 2011 to July 2017 of adult (age > 18) inpatients excluding psychiatric, parturient, and hospice patients. Three machine learning models were trained and tested: random forest (RF), linear support vector machine, and logistic regression. We compared the models' performance to the traditional Modified Early Warning Score (MEWS) using sensitivity, specificity, and Area Under the Curve for Receiver Operating Characteristic (AUC-ROC) and Precision-Recall curves (AUC-PR). The primary outcome was escalation of care from a floor bed to an intensive care or step-down unit, or death, within 6 h. A total of 96,645 patients with 157,984 hospital encounters and 244,343 bed movements were included. Overall rate of escalation or death was 3.4%. The RF model had the best performance with sensitivity 81.6%, specificity 75.5%, AUC-ROC of 0.85, and AUC-PR of 0.37. Compared to traditional MEWS, sensitivity increased 37%, specificity increased 11%, and AUC-ROC increased 14%. This study found that using machine learning and readily available clinical data, clinical deterioration or death can be predicted 6 h prior to the event. The model we developed can warn of patient deterioration hours before the event, thus helping make timely clinical decisions.

Do Programs for Runaway and Homeless Youth Work? A Qualitative Exploration From the Perspectives of Youth Clients in Diverse Settings.

Runaway and homeless youth (RHY) comprise a large population of young people who reside outside the control and protection of parents and guardians and who experience numerous traumas and risk factors, but few buffering resources. Specialized settings have developed to serve RHY, but little is known about their effects. The present cross-sectional qualitative descriptive study, grounded in the positive youth development approach and the Youth Program Quality Assessment model, addressed this gap in the literature. From a larger sample of 29 RHY-specific settings across New York State, RHY ages 16-21 from 11 settings were purposively sampled for semi-structured in-depth interviews on their transitions into homelessness, experiences with settings, and unmet needs (N = 37 RHY). Data were analyzed with a theory-driven and inductive systematic content analysis approach. Half of participants (54%) were female; almost half (49%) identified as non-heterosexual; and 42% were African American/Black, 31% were Latino/Hispanic, and 28% were White/other. Results indicated that because RHY are a uniquely challenged population, distrustful of service settings and professional adults and skilled at surviving independently, the population-tailored approaches found in RHY-specific settings are vital to settings' abilities to effectively engage and serve RHY. We found the following four major themes regarding the positive effects of settings: (1) engaging with an RHY setting was emotionally challenging and frightening, and thus the experiences of safety and services tailored to RHY needs were critical; (2) instrumental support from staff was vital and most effective when received in a context of emotional support; (3) RHY were skilled at survival on the streets, but benefited from socialization into more traditional systems to foster future independent living; and (4) follow-through and aftercare were needed as RHY transitioned out of services. With respect to gaps in settings, RHY highlighted the following: (1) a desire for better management of tension between youths' needs for structure and wishes for autonomy and (2) lack of RHY input into program governance. This study advances our understanding of RHY, their service needs, and the ways settings meet these needs, as well as remaining gaps. It underscores the vital, life-changing, and even life-saving role these settings play for RHY.

An investigation of an open-access model for scaling up methadone maintenance treatment.

AIMS: To examine retrospectively patient and programmatic outcomes following the development and implementation of an 'open-access' model in which prospective patients were enrolled rapidly in methadone maintenance treatment, irrespective of ability to pay, and provided real-time access to multiple voluntary treatment options. DESIGN: Medical and administrative records were abstracted to compare data for 1 year before and 9 years after initiating the implementation of an open-access treatment model in May 2007. SETTING: Methadone maintenance treatment center in Connecticut, USA. PARTICIPANTS: Individuals with opioid use disorder entering treatment between July 2006 and June 2015. In June 2015, 64% (n = 2594) of the sample were men and 80% (n = 3133) reported that they were white. INTERVENTION: The Network for the Improvement of Addiction Treatment-informed open-access treatment model uses process improvement strategies to improve treatment access and capacity. MEASUREMENTS: Census, waiting time, retention, non-medical opioid use, patient mortality and financial sustainability (net income and state-block grants as proportions of revenue). FINDINGS: In the 9 years following the initial implementation of the open-access model, patient census increased by 183% from 1431 to 4051, and average waiting-time days decreased from 21 to 0.3 (same day) without apparent deleterious effects on rates of retention, non-medical opioid use or mortality. Between fiscal years (FY) 06 and FY 15, net operating margin rose from 2 to 10%, while state-block grant revenues declined 14% and the proportion of total revenue from state-block grant revenue decreased from 49 to 24%. CONCLUSIONS: An open-access model for rapid enrolment of people with opioid use disorder in methadone treatment appears to improve treatment access, capacity, and financial sustainability without evidence of deleterious effects on treatment outcomes.

The Macronuclear Genome of Stentor coeruleus Reveals Tiny Introns in a Giant Cell.

The giant, single-celled organism Stentor coeruleus has a long history as a model system for studying pattern formation and regeneration in single cells. Stentor [1, 2] is a heterotrichous ciliate distantly related to familiar ciliate models, such as Tetrahymena or Paramecium. The primary distinguishing feature of Stentor is its incredible size: a single cell is 1 mm long. Early developmental biologists, including T.H. Morgan [3], were attracted to the system because of its regenerative abilities-if large portions of a cell are surgically removed, the remnant reorganizes into a normal-looking but smaller cell with correct proportionality [2, 3]. These biologists were also drawn to Stentor because it exhibits a rich repertoire of behaviors, including light avoidance, mechanosensitive contraction, food selection, and even the ability to habituate to touch, a simple form of learning usually seen in higher organisms [4]. While early microsurgical approaches demonstrated a startling array of regenerative and morphogenetic processes in this single-celled organism, Stentor was never developed as a molecular model system. We report the sequencing of the Stentor coeruleus macronuclear genome and reveal key features of the genome. First, we find that Stentor uses the standard genetic code, suggesting that ciliate-specific genetic codes arose after Stentor branched from other ciliates. We also discover that ploidy correlates with Stentor's cell size. Finally, in the Stentor genome, we discover the smallest spliceosomal introns reported for any species. The sequenced genome opens the door to molecular analysis of single-cell regeneration in Stentor.

A Tissue-Mapped Axolotl De Novo Transcriptome Enables Identification of Limb Regeneration Factors.

Mammals have extremely limited regenerative capabilities; however, axolotls are profoundly regenerative and can replace entire limbs. The mechanisms underlying limb regeneration remain poorly understood, partly because the enormous and incompletely sequenced genomes of axolotls have hindered the study of genes facilitating regeneration. We assembled and annotated a de novo transcriptome using RNA-sequencing profiles for a broad spectrum of tissues that is estimated to have near-complete sequence information for 88% of axolotl genes. We devised expression analyses that identified the axolotl orthologs of cirbp and kazald1 as highly expressed and enriched in blastemas. Using morpholino anti-sense oligonucleotides, we find evidence that cirbp plays a cytoprotective role during limb regeneration whereas manipulation of kazald1 expression disrupts regeneration. Our transcriptome and annotation resources greatly complement previous transcriptomic studies and will be a valuable resource for future research in regenerative biology.

Mesh, graft, or standard repair for women having primary transvaginal anterior or posterior compartment prolapse surgery: two parallel-group, multicentre, randomised, controlled trials (PROSPECT).

BACKGROUND: The use of transvaginal mesh and biological graft material in prolapse surgery is controversial and has led to a number of enquiries into their safety and efficacy. Existing trials of these augmentations are individually too small to be conclusive. We aimed to compare the outcomes of prolapse repair involving either synthetic mesh inlays or biological grafts against standard repair in women. METHODS: We did two pragmatic, parallel-group, multicentre, randomised controlled trials for our study (PROSPECT [PROlapse Surgery: Pragmatic Evaluation and randomised Controlled Trials]) in 35 centres (a mix of secondary and tertiary referral hospitals) in the UK. We recruited women undergoing primary transvaginal anterior or posterior compartment prolapse surgery by 65 gynaecological surgeons in these centres. We randomly assigned participants by a remote web-based randomisation system to one of the two trials: comparing standard (native tissue) repair alone with standard repair augmented with either synthetic mesh (the mesh trial) or biological graft (the graft trial). We assigned women (1:1:1 or 1:1) within three strata: assigned to one of the three treatment options, comparison of standard repair with mesh, and comparison of standard repair with graft. Participants, ward staff, and outcome assessors were masked to randomisation where possible; masking was obviously not possible for the surgeon. Follow-up was for 2 years after the surgery; the primary outcomes, measured at 1 year and 2 years, were participant-reported prolapse symptoms (i.e. the Pelvic Organ Prolapse Symptom Score [POP-SS]) and condition-specific (ie, prolapse-related) quality-of-life scores, analysed in the modified intention-to-treat population. This trial is registered as an International Standard Randomised Controlled Trial, number ISRCTN60695184. FINDINGS: Between Jan 8, 2010, and Aug 30, 2013, we randomly allocated 1352 women to treatment, of whom 1348 were included in the analysis. 865 women were included in the mesh trial (430 to standard repair alone, 435 to mesh augmentation) and 735 were included in the graft trial (367 to standard repair alone, 368 to graft augmentation). Because the analyses were carried out separately for each trial (mesh trial and graft trial) some women in the standard repair arm assigned to all treatment options were included in the standard repair group of both trials. 23 of these women did not receive any surgery (15 in the mesh trial, 13 in the graft trial; five were included in both trials) and were included in the baseline analyses only. Mean POP-SS at 1 year did not differ substantially between comparisons (standard 5·4 [SD 5·5] vs mesh 5·5 [5·1], mean difference 0·00, 95% CI -0·70 to 0·71; p=0·99; standard 5·5 [SD 5·6] vs graft 5·6 [5·6]; mean difference -0·15, -0·93 to 0·63; p=0·71). Mean prolapse-related quality-of-life scores also did not differ between groups at 1 year (standard 2·0 [SD 2·7] vs mesh 2·2 [2·7], mean difference 0·13, 95% CI -0·25 to 0·51; p=0·50; standard 2·2 [SD 2·8] vs graft 2·4 [2·9]; mean difference 0·13, -0·30 to 0·56; p=0·54). Mean POP-SS at 2 years were: standard 4·9 (SD 5·1) versus mesh 5·3 (5·1), mean difference 0·32, 95% CI -0·39 to 1·03; p=0·37; standard 4·9 (SD 5·1) versus graft 5·5 (5·7); mean difference 0·32, -0·48 to 1·12; p=0·43. Prolapse-related quality-of-life scores at 2 years were: standard 1·9 (SD 2·5) versus mesh 2·2 (2·6), mean difference 0·15, 95% CI -0·23 to 0·54; p=0·44; standard 2·0 (2·5) versus graft 2·2 (2·8); mean difference 0·10, -0·33 to 0·52; p=0·66. Serious adverse events such as infection, urinary retention, or dyspareunia or other pain, excluding mesh complications, occurred with similar frequency in the groups over 1 year (mesh trial: 31/430 [7%] with standard repair vs 34/435 [8%] with mesh, risk ratio [RR] 1·08, 95% CI 0·68 to 1·72; p=0·73; graft trial: 23/367 [6%] with standard repair vs 36/368 [10%] with graft, RR 1·57, 0·95 to 2·59; p=0·08). The cumulative number of women with a mesh complication over 2 years in women actually exposed to synthetic mesh was 51 (12%) of 434. INTERPRETATION: Augmentation of a vaginal repair with mesh or graft material did not improve women's outcomes in terms of effectiveness, quality of life, adverse effects, or any other outcome in the short term, but more than one in ten women had a mesh complication. Therefore, follow-up is vital to identify any longer-term potential benefits and serious adverse effects of mesh or graft reinforcement in vaginal prolapse surgery. FUNDING: UK National Institute of Health Research.

Should maximal urethral closure pressure be performed before midurethral sling surgery for stress incontinence? A time to revisit.

INTRODUCTION AND HYPOTHESIS: Maximum urethral closure pressure (MUCP) provides an objective assessment of urethral integrity, but its role in predicting outcome after midurethral sling (MUS) placement is debatable and current practice in the UK is variable. The study was carried out to determine if lower preoperative MUCP is associated with poor outcome following MUS. METHOD: The study was a retrospective review of the British Society of Urogynaecology (BSUG) database and urodynamics (UDS) data. Patients who reported outcome as "no improvement", "worse" or "much worse" on the Patient Global Impression of Improvement (PGII) scale were identified as having a poor outcome. Patients who reported "a little improvement", "improved" and "very much improved" on the PGII were thought to have a good outcome. The preoperative demographics, UDS findings and quality of life (International Consultation of Incontinence questionnaires [ICIQ-SF]) data of the two groups were compared. RESULT: A total of 236 women were identified for the study. Of these, 24 women (10.2 %) had a poor outcome. Of the remaining women reporting a good outcome, 50 cases were randomly selected. All urodynamic parameters, including mean functional urethral length (FUL), bladder capacity, and Qmax, were similar, except for mean MUCP 37.05 cm H2O, which was significantly lower in group 1 (poor outcome 37.05 cm H2O) compared with a mean MUCP of 50.6 cm H2O in group 2 (good outcome; p = 0.005). CONCLUSION: We conclude that failure following MUS is associated with preoperatively lower MUCP, which can be used as a predictor of failure.

On the Relationship of Protein and mRNA Dynamics in Vertebrate Embryonic Development.

A biochemical explanation of development from the fertilized egg to the adult requires an understanding of the proteins and RNAs expressed over time during embryogenesis. We present a comprehensive characterization of protein and mRNA dynamics across early development in Xenopus. Surprisingly, we find that most protein levels change little and duplicated genes are expressed similarly. While the correlation between protein and mRNA levels is poor, a mass action kinetics model parameterized using protein synthesis and degradation rates regresses protein dynamics to RNA dynamics, corrected for initial protein concentration. This study provides detailed data for absolute levels of ∼10,000 proteins and ∼28,000 transcripts via a convenient web portal, a rich resource for developmental biologists. It underscores the lasting impact of maternal dowry, finds surprisingly few cases where degradation alone drives a change in protein level, and highlights the importance of transcription in shaping the dynamics of the embryonic proteome.

Hemichordate genomes and deuterostome origins.

Acorn worms, also known as enteropneust (literally, 'gut-breathing') hemichordates, are marine invertebrates that share features with echinoderms and chordates. Together, these three phyla comprise the deuterostomes. Here we report the draft genome sequences of two acorn worms, Saccoglossus kowalevskii and Ptychodera flava. By comparing them with diverse bilaterian genomes, we identify shared traits that were probably inherited from the last common deuterostome ancestor, and then explore evolutionary trajectories leading from this ancestor to hemichordates, echinoderms and chordates. The hemichordate genomes exhibit extensive conserved synteny with amphioxus and other bilaterians, and deeply conserved non-coding sequences that are candidates for conserved gene-regulatory elements. Notably, hemichordates possess a deuterostome-specific genomic cluster of four ordered transcription factor genes, the expression of which is associated with the development of pharyngeal 'gill' slits, the foremost morphological innovation of early deuterostomes, and is probably central to their filter-feeding lifestyle. Comparative analysis reveals numerous deuterostome-specific gene novelties, including genes found in deuterostomes and marine microbes, but not other animals. The putative functions of these genes can be linked to physiological, metabolic and developmental specializations of the filter-feeding ancestor.

Perineal support and risk of obstetric anal sphincter injuries: a Delphi survey.

OBJECTIVE: To explore the views of a multidisciplinary group of experts and achieve consensus on the importance of perineal support in preventing obstetric anal sphincter injuries (OASIS). DESIGN: A three-generational Delphi survey. SETTING: A UK-wide survey of experts. POPULATION: A panel of 20 members consisting of obstetricians, midwives and urogynecologists recommended by UK professional bodies. METHODS: A 58-item web-based questionnaire was sent to all participants who were asked to anonymously rate the importance of each item on a six-point Likert scale. They were asked to rate their level of agreement on statements related to hands-on/hands-poised techniques, the association of hands-poised/hands-off approach with OASIS, the need to implement perineal support and the need to improve the evidence to support it. Systematic feedback of responses from previous rounds was provided to participants. MAIN OUTCOME MEASURES: To achieve consensus on key areas related to perineal support. RESULTS: The response rate was 100% in all three iterations. There was consensus that current UK practice regarding perineal protection was not based on robust evidence. The respondents agreed that hands-poised/hands-off and OASIS are causally related and that hands-poised was misinterpreted by clinicians as hands-off. Although 90% of experts agreed that some form of randomized trial was required and that all would be prepared to take part, there was also consensus (75%) that in the meantime, hands-on should be the recommended technique. CONCLUSIONS: Our results highlight the current lack of evidence to support policies of perineal support at time of birth and the need to address this controversial issue.

The Fox/Forkhead transcription factor family of the hemichordate Saccoglossus kowalevskii.

BACKGROUND: The Fox gene family is a large family of transcription factors that arose early in organismal evolution dating back to at least the common ancestor of metazoans and fungi. They are key components of many gene regulatory networks essential for embryonic development. Although much is known about the role of Fox genes during vertebrate development, comprehensive comparative studies outside vertebrates are sparse. We have characterized the Fox transcription factor gene family from the genome of the enteropneust hemichordate Saccoglossus kowalevskii, including phylogenetic analysis, genomic organization, and expression analysis during early development. Hemichordates are a sister group to echinoderms, closely related to chordates and are a key group for tracing the evolution of gene regulatory mechanisms likely to have been important in the diversification of the deuterostome phyla. RESULTS: Of the 22 Fox gene families that were likely present in the last common ancestor of all deuterostomes, S. kowalevskii has a single ortholog of each group except FoxH, which we were unable to detect, and FoxQ2, which has three paralogs. A phylogenetic analysis of the FoxQ2 family identified an ancestral duplication in the FoxQ2 lineage at the base of the bilaterians. The expression analyses of all 23 Fox genes of S. kowalevskii provide insights into the evolution of components of the regulatory networks for the development of pharyngeal gill slits (foxC, foxL1, and foxI), mesoderm patterning (foxD, foxF, foxG), hindgut development (foxD, foxI), cilia formation (foxJ1), and patterning of the embryonic apical territory (foxQ2). CONCLUSIONS: Comparisons of our results with data from echinoderms, chordates, and other bilaterians help to develop hypotheses about the developmental roles of Fox genes that likely characterized ancestral deuterostomes and bilaterians, and more recent clade-specific innovations.

Deep proteomics of the Xenopus laevis egg using an mRNA-derived reference database.

BACKGROUND: Mass spectrometry-based proteomics enables the global identification and quantification of proteins and their posttranslational modifications in complex biological samples. However, proteomic analysis requires a complete and accurate reference set of proteins and is therefore largely restricted to model organisms with sequenced genomes. RESULTS: Here, we demonstrate the feasibility of deep genome-free proteomics by using a reference proteome derived from heterogeneous mRNA data. We identify more than 11,000 proteins with 99% confidence from the unfertilized Xenopus laevis egg and estimate protein abundance with approximately 2-fold precision. Our reference database outperforms the provisional gene models based on genomic DNA sequencing and references generated by other methods. Surprisingly, we find that many proteins in the egg lack mRNA support and that many of these proteins are found in blood or liver, suggesting that they are taken up from the blood plasma, together with yolk, during oocyte growth and maturation, potentially contributing to early embryogenesis. CONCLUSION: To facilitate proteomics in nonmodel organisms, we make our platform available as an online resource that converts heterogeneous mRNA data into a protein reference set. Thus, we demonstrate the feasibility and power of genome-free proteomics while shedding new light on embryogenesis in vertebrates.

Thymine DNA glycosylase is a CRL4Cdt2 substrate.

The E3 ubiquitin ligase CRL4(Cdt2) targets proteins for destruction in S phase and after DNA damage by coupling ubiquitylation to DNA-bound proliferating cell nuclear antigen (PCNA). Coupling to PCNA involves a PCNA-interacting peptide (PIP) degron motif in the substrate that recruits CRL4(Cdt2) while binding to PCNA. In vertebrates, CRL4(Cdt2) promotes degradation of proteins whose presence in S phase is deleterious, including Cdt1, Set8, and p21. Here, we show that CRL4(Cdt2) targets thymine DNA glycosylase (TDG), a base excision repair enzyme that is involved in DNA demethylation. TDG contains a conserved and nearly perfect match to the PIP degron consensus. TDG is ubiquitylated and destroyed in a PCNA-, Cdt2-, and PIP degron-dependent manner during DNA repair in Xenopus egg extract. The protein can also be destroyed during DNA replication in this system. During Xenopus development, TDG first accumulates during gastrulation, and its expression is down-regulated by CRL4(Cdt2). Our results expand the group of vertebrate CRL4(Cdt2) substrates to include a bona fide DNA repair enzyme.