bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bioadhesive patch as a parenchymal sparing treatment of acute traumatic pulmonary air leaks
Authors: Williams James , Prey Beau , Francis Andrew , Weykamp Michael , Liu Betty , Parsons Michael , Vu Michael , Franko Jace , Roedel Erik , Horton John , Bingham Jason , Mentzer Steven , Kuckelman John 
Published: March 2023

INTRODUCTION
Traumatic pulmonary injuries are common in chest trauma. Persistent air leaks occur in up to 46% of patients depending on injury severity. Prolonged leaks are associated with increased morbidity and cost. Prior work from our first-generation pectin patches successfully sealed pulmonary leaks in a cadaveric swine model. We now test the next-generation pectin patch against wedge resection in the management of air leaks in anesthetized swine.

METHODS
A continuous air leak of 10% to 20% percent was created to the anterior surface of the lung in intubated and sedated swine. Animals were treated with a two-ply pectin patch or stapled wedge resection (SW). Tidal volumes (TVs) were recorded preinjury and postinjury. Following repair, TVs were recorded, a chest tube was placed, and animals were observed for presence air leak at closure and for an additional 90 minutes while on positive pressure ventilation. Mann-Whitney U test and Fisher's exact test used to compare continuous and categorical data between groups.

RESULTS
Thirty-one animals underwent either SW (15) or pectin patch repair (PPR, 16). Baseline characteristics were similar between animals excepting baseline TV (SW, 10.3 mL/kg vs. PPR, 10.9 mL/kg; p = 0.03). There was no difference between groups for severity of injury based on percent of TV loss (SW, 15% vs. PPR, 14%; p = 0.5). There was no difference in TV between groups following repair (SW, 10.2 mL/kg vs. PPR, 10.2 mL/kg; p = 1) or at the end of observation (SW, 9.8 mL/kg vs. PPR, 10.2 mL/kg; p = 0.4). One-chamber intermittent air leaks were observed in three of the PPR animals, versus one in the SW group (p = 0.6).

CONCLUSION
Pectin patches effectively sealed the lung following injury and were noninferior when compared with wedge resection for the management of acute traumatic air leaks. Pectin patches may offer a parenchymal sparing option for managing such injuries, although studies evaluating biodurability are needed.
The impact of time to hemostatic intervention and delayed care for patients with traumatic hemorrhage: A systematic review
Authors: Lamb Tyler , Tran Alexandre , Lampron Jacinthe , Shorr Risa , Taljaard Monica , Vaillancourt Christian 
Published: March 2023

BACKGROUND
Uncontrolled bleeding is a common cause of preventable mortality in trauma. While it is intuitive that delays to hemostasis may lead to worse outcomes, the impacts of these delays remain incompletely explored. This systematic review aimed to characterize the extant definitions of delayed hemostatic intervention and to quantify the impacts of delays on clinical outcomes.

METHODS
We searched EMBASE, MEDLINE, and Web of Science from inception to August 2022. Studies defining “delayed intervention” and those comparing times to intervention among adults presenting to hospital with blunt or penetrating injuries who required major hemostatic intervention were eligible. The coprimary outcomes were mortality and the definition of delay to hemostasis used. Secondary outcomes included units of packed red blood cells received, length of stay in hospital, and length of stay in intensive care.

RESULTS
We identified 2,050 studies, with 24 studies including 10,168 patients meeting the inclusion criteria. The majority of studies were retrospective observational cohort studies, and most were at high risk of bias. A variety of injury patterns and hemostatic interventions were considered, with 69.6% of studies reporting a statistically significant impact of increased time to intervention on mortality. Definitions of delayed intervention ranged from 10 minutes to 4 hours. Conflicting data were reported for impact of time on receipt of blood products, while one study found a significant impact on intensive care length of stay. No studies assessed length of stay in hospital.

CONCLUSION
The extant literature is heterogeneous with respect to injuries included, methods of hemostasis employed, and durations of delay examined. While the majority of the included studies demonstrated a statistically significant relationship between time to intervention and mortality, an evidence-informed definition of delayed intervention for bleeding trauma patients at large has not been solidified. In addition, standardized research is needed to establish targets, which could reduce morbidity and mortality.

LEVEL OF EVIDENCE
Systematic Review; Level IV.
Immunogenicity and safety of NVX-CoV2373 as a homologous or heterologous booster: A phase 3 randomized clinical trial in adults
Authors: Raiser Fritz , Davis Matthew , Adelglass Jeffrey , Cai Miranda R. , Chau Gordon , Cloney-Clark Shane , Eickhoff Mark , Kalkeri Raj , McKnight Irene , Plested Joyce , Zhu Mingzhu , Dunkle Lisa 
Published: March 2023

ABSTRACTBackgroundTo combat the SARS-CoV-2 pandemic, multiple vaccines using different manufacturing platforms have been developed, including NVX-CoV2373 (an adjuvanted recombinant protein vaccine). As SARS-CoV-2 variants have emerged, some of which evade vaccine-induced immunity, introduction of vaccine booster doses has become critical. Employing different vaccine types for primary series vaccination and boosting could expand vaccine coverage and access. This study assessed whether NVX-CoV2373 would induce similar responses when used as a heterologous or homologous booster.MethodsThe 2019nCoV-307 study was a phase 3, randomized, observer-blinded trial evaluating immunogenicity and safety of NVX-CoV2373 in previously vaccinated adults aged 18-49 years in the United States (NCT05463068). Participants were randomized 1:1:1 to receive one intramuscular injection of NVX-CoV2373 from one of three different manufacturing lots. Immunogenicity was assessed by immunoglobulin G (IgG) and neutralizing antibodies (NAb). These responses were compared for the three lots, and for participants with primary series with or without a prior booster dose of the mRNA-1273, BNT162b2, Ad26.COV2.S, or NVX-CoV2373 COVID-19 vaccines.ResultsA total of 911 participants were randomized between July 11 and 13, 2022, with 905 being assessed for safety and 848 for immunogenicity. Immunogenicity of NVX-CoV2373 met prespecified equivalence criteria between lots, and the booster dose was well-tolerated. NVX-CoV2373 induced robust IgG and NAb responses when used as a first or later booster dose, regardless of primary series vaccine type. Seroconversion rates were also similar across previous vaccine types. Induced antibodies were strongly reactive, even to the immune-evasive Omicron BA.1 and BA.5 variants.ConclusionsNVX-CoV2373 showed consistent immunogenicity between lots, with no new safety signals identified. Use of NVX-CoV2373 as a homologous or heterologous booster dose (first or later) is supported.
Perceived seizure risk in epilepsy – Chronic electronic surveys with and without concurrent EEG
Authors: Cui Jie , Balzekas Irena , Nurse Ewan , Viana Pedro , Gregg Nicholas , Karoly Philippa , Worrell Gregory , Richardson Mark P , Freestone Dean R. , Brinkmann Benjamin H. 
Published: March 2023

AbstractObjectivePrevious studies suggested that patients with epilepsy might be able to fore-cast their own seizures. We sought to assess the relationships of premonitory symptoms and perceived seizure risk with future and recent self-reported and EEG-confirmed seizures in the subjects living with epilepsy in their natural home environments.MethodsWe collected long-term e-surveys from ambulatory patients with and without concurrent EEG recordings. Information obtained from the e-surveys included medication compliance, sleep quality, mood, stress, perceived seizure risk and seizure occurrences preceding the survey. EEG seizures were identified. Univariate and multivariate generalized linear mixed-effect regression models were used to estimate odds ratios (ORs) for the assessment of the relationships. Results were compared with device seizure forecasting literature using a mathematical formula converting OR to equivalent area under the curve (AUC).ResultsSixty-nine subjects returned 12,590 e-survey entries, with four subjects acquiring concurrent EEG recordings. Univariate analysis revealed increased stress (OR = 2.52, 95% CI = [1.52, 4.14],p <0.001) and decreased mood (0.32, [0.13, 0.82], 0.02) were associated with increased relative odds of future self-reported seizures. On multivariate analysis, previous self-reported seizures (4.24, [2.69, 6.68],<0.001) were most strongly associated with future self-reported seizures, and high perceived seizure risk (3.30, [1.97, 5.52],<0.001) remained significant when prior self-reported seizures were added to the model. No significant association was found between e-survey responses and subsequent EEG seizures.SignificanceIt appears that patients may tend to self-forecast seizures that occur in sequential groupings. Our results suggest that low mood and increased stress may be the result of previous seizures rather than independent premonitory symptoms. Patients in the small cohort with concurrent EEG showed no ability to self-predict EEG seizures. The conversion from OR to AUC values facilitates direct comparison of performance between survey and device studies involving survey premonition and forecasting.Key pointsLong-term e-surveys data and concurrent EEG signals were collected across three study sites to assess the ability of the patients to self-forecast their seizures.Patients may tend to self-forecast self-reported seizures that occur in sequential groupings.Factors, such as mood and stress, may not be independent premonitory symptoms but may be the consequence of recent seizures.No ability to self-forecast EEG confirmed seizures was observed in a small cohort with concurrent EEG validation.A mathematic relation between OR and AUC provides a means to compare forecasting performance between survey and device studies.
Preterm Birth and Neonatal Mortality in Selected Slums in and around Dhaka City of Bangladesh: A Cohort Study
Authors: Razzaque Abdur , Rahman Anisur , Chowdhury Razib , Mustafa AHM Golam , Naima Shakera , Begum Farzana , Shafique Sohana , Sarker Bidhan Krishna , Islam Mohammad Zahirul , Kim Minjoon , Jahangir Margub Aref , Matin Ziaul , Ferdous Jannatul , Vandenent Maya , Reidpath Daniel D 
Published: March 2023

AbstractBackgroundAlthough under-five mortality declined appreciably in Bangladesh over the last few decades, neonatal mortality still remains high. The objective of the study is to assess the level and determinants of preterm birth and the contribution of preterm birth to neonatal mortality.MethodsData for this study came from selected slums in and around Dhaka city, where; since 2015, icddr,b has been maintaining the Health and Demographic Surveillance System (HDSS). The HDSS data were collected by female Field Workers by visiting each household every three months; however, during the visit, data on Last Menstrual Period (LMP) were also collected by asking each eligible woman to ascertain the date of conception. Gestational age was estimated in complete weeks by subtracting LMP from the date of pregnancy outcome. In this study, 6,989 livebirths were recorded by HDSS during 2016-2018, and these births were followed for neonatal survival; both bivariate and multivariate analyses were performed.ResultsOut of total births, 21.7% were born preterm (before 37 weeks of gestation), and sub-categories were: 2.19% for very preterm (28 to 31 weeks), 3.81% for moderate preterm (32 to 33 weeks), and 15.71% for late preterm (34 to 36 weeks). The study revealed that preterm babies contributed to 39.6% of neonatal deaths; however, the probability of death was very high on the 1stday of birth (0.124 for very preterm, 0.048 for moderate preterm, 0.024 for late preterm, and 0.013 for term birth), and continued until the 3rdday. In the regression analysis, compared to the term neonates, the odds of neonatal mortality were 8.74 (CI: 5.68, 13.45, p<0.01), 4.05 (CI: 2.64, 6.22, p<0.01) and 1.48 (CI: 1.05, 2.08, p<0.05) respectively for very, moderate, and late preterm birth categories. The population attributable fraction for neonatal mortality was 23%, and sub-categories were 14% for very preterm, 10% for moderate preterm, and 6% for late preterm.ConclusionsAlthough urban slums are in proximity to many health facilities, a substantial proportion of preterm birth contributed to neonatal deaths. So, pregnant women should be targeted, to ensure timely care during pregnancy, delivery, and post-partum periods to improve the survival of new-borns in general and preterm birth in particular.
Integrating miRNAs and Bacterial DNA for Early Detection of Lung Cancer
Authors: Shen Jun , Zhou Huifen , Dhilipkannah Pushpa , Sachdeva Ashtosh , Pickering Edward , Holden Van K. , Deepak Janaki , Todd Nevins W. , Stass Sanford A , Jiang Feng 
Published: March 2023

AbstractPurposeThe early detection is crucial for improved outcomes in lung cancer, which remains a leading cause of cancer-erelated deaths. There is an urgent need for precise molecular biomarkers to diagnose early-stage lung cancer. To address this, we assessed the potential of integrating diverse molecular biomarkers across both plasma and sputum to improve the accuracy of diagnosis, given the heterogeneous nature of lung cancer arising from multifactorial molecular aberrations.MethodsWe utilized droplet digital PCR to quantify miRNAs in plasma and bacterial DNA in sputum collected from 114 lung cancer patients and 121 cancer-free smokers. The participants were randomly divided into a development cohort and a validation cohort. Logistic regression models with constrained parameters were employed to optimize a signature with the highest sensitivity and specificity for early detection of lung cancer.ResultsThe individual plasma miRNAs and sputum bacterial biomarkers had sensitivities of 62%-71% and specificities of 61%-79% for diagnosing lung cancer. A panel of plasma miRNA or sputum bacterial biomarkers produced sensitivities of 79%-85% and specificities of 74%-82%. An integrated signature comprising two miRNAs in plasma and three bacterial biomarkers in sputum was developed in the development cohort, and it exhibited a higher sensitivity (87%) and specificity (89%) in comparison to individual biomarkers. The signature’s diagnostic value was confirmed in the validation cohort, regardless of tumor stage, histological type, and demographic factors.ConclusionThe integration of miRNA and bacterial biomarkers across both plasma and spu-tum samples offered an effective approach for the diagnosis of lung cancer.
RFIDeep: Unfolding the Potential of Deep Learning for Radio-Frequency Identification
Authors: Bardon Gaël , Cristofari Robin , Winterl Alexander , Barracho Téo , Benoiste Marine , Ceresa Claire , Chatelain Nicolas , Courtecuisse Julien , Fernandes Flávia A.N. , Gauthier-Clerc Michel , Gendner Jean-Paul , Handrich Yves , Houstin Aymeric , Krellenstein Adélie , Lecomte Nicolas , Salmon Charles-Edouard , Trucchi Emiliano , Vallas Benoit , Wong Emily M. , Zitterbart Daniel P. , Bohec Céline Le 
Published: March 2023

AbstractAutomatic monitoring of wildlife is becoming a critical tool in the field of ecology. In particular, Radio-Frequency IDentification (RFID) is now a widespread technology to assess the phenology, breeding, and survival of many species. While RFID produces massive datasets, no established fast and accurate methods are yet available for this type of data processing. Deep learning approaches have been used to overcome similar problems in other scientific fields and hence might hold the potential to overcome these analytical challenges and unlock the full potential of RFID studies.We present a deep learning workflow, coined “RFIDeep”, to derive ecological features, such as breeding status and outcome, from RFID mark-recapture data. To demonstrate the performance of RFIDeep with complex datasets, we used a long-term automatic monitoring of a long-lived seabird that breeds in densely packed colonies, hence with many daily entries and exits.To determine individual breeding status and phenology and for each breeding season, we first developed a one-dimensional convolution neural network (1D-CNN) architecture. Second, to account for variance in breeding phenology and technical limitations of field data acquisition, we built a new data augmentation step mimicking a shift in breeding dates and missing RFID detections, a common issue with RFIDs. Third, to identify the segments of the breeding activity used during classification, we also included a visualisation tool, which allows users to understand what is usually considered a “black box” step of deep learning. With these three steps, we achieved a high accuracy for all breeding parameters: breeding status accuracy = 96.3%; phenological accuracy = 86.9%; breeding success accuracy = 97.3%.RFIDeep has unfolded the potential of artificial intelligence for tracking changes in animal populations, multiplying the benefit of automated mark-recapture monitoring of undisturbed wildlife populations. RFIDeep is an open source code to facilitate the use, adaptation, or enhancement of RFID data in a wide variety of species. In addition to a tremendous time saving for analyzing these large datasets, our study shows the capacities of CNN models to autonomously detect ecologically meaningful patterns in data through visualisation techniques, which are seldom used in ecology.
Fortuitousin vitrocompound degradation produces a tractable hit againstMycobacterium tuberculosisdethiobiotin synthetase: a cautionary tale of what goes in, does not always come out
Authors: Salaemae Wanisa , Thompson Andrew P. , Gaiser Birgit I. , Lee Kwang Jun , Huxley Michael T. , Sumby Christopher J. , Polyak Steven W. , Abell Andrew D. , Bruning John B. , Wegener Kate L. 
Published: March 2023

AbstractWe previously reported potent ligands and inhibitors ofMycobacterium tuberculosisdethiobiotin synthetase (MtDTBS), a promising target for antituberculosis drug development (Schumannet al.,ACS Chem Biol. 2021, 16, 2339-2347); here the unconventional origin of the fragment compound they were derived from is described for the first time. Compound1(9b-hydroxy-6b,7,8,9,9a,9b-hexahydrocyclopenta[3,4]cyclobuta[1,2-c]chromen-6(6aH)-one), identified byin silicofragment screen, was subsequently shown by surface plasmon resonance to have dose-responsive binding (KD0.6 mM). Clear electron density was revealed in the DAPA substrate binding pocket, when1was soaked intoMtDTBS crystals, but the density was inconsistent with the structure of1. Here we show the lactone of1hydrolyses to carboxylic acid2under basic conditions, including those of the crystallography soak, with subsequent ring-opening of the component cyclobutane ring to form cyclopentylacetic acid3. Crystals soaked directly with authentic3produced electron density that matched that of crystals soaked with presumed1, confirming the identity of the bound ligand. The synthetic utility of fortuitously formed3enabled subsequent compound development into nanomolar inhibitors. Our findings represent an example of chemical modification within drug discovery assays and demonstrate the value of high-resolution structural data in the fragment hit validation process.SynopsisA molecule flagged in anin silicodocking screen againstMtDTBS, was inadvertently hydrolysed in the crystal conditions used for hit validation. The resulting fragment-sized molecule bound to the DAPA substrate binding pocket of the target enzyme (MtDTBS) with millimolar affinity, as measured by surface plasmon resonance, but was later modified to a highly potent (nanomolar) ligand and promising lead for the development of novel tuberculosis treatments.Graphical Abstract
(Poly)phenols in Human Breast Milk and their health benefits for the newborn
Authors: Carregosa Diogo , Silva Inês P. , Teixeira Carolina , Baltazar Mariana , García-Villalba Rocio , Vieira Filipa Soares , Marçal Mónica , Tuna Madalena , Santos Cláudia N. 
Published: March 2023

AbstractHuman breast milk is the first food source available to newborns and is responsible for healthy growth and development during the first months of life. Human breast milk contains vitamins, hormones, cytokines, microbiota, and immune cells that are responsible for such healthy conditions. Nonetheless, knowledge of the vast array of molecules present in human breast milk and their potential health effects is still lacking. The effects of mothers’ diets on the molecules present in human breast milk are also generally unknown. The health benefits of (poly)phenols have been largely increasing but their presence in breast milk has been put largely aside. The impact of the mother’s diet in the presence and quantification of these molecules in milk has also been overlooked. Above all, the potential benefits of (poly)phenols for newborns are just a vast emptiness of what is known about (poly)phenol research.
SLC15A4 controls endolysosomal TLR7-9 responses by recruiting the innate immune adaptor TASL
Authors: Zhang Haobo , Bernaleau Léa , Delacrétaz Maeva , Hasanovic Ed , Eibel Hermann , Rebsamen Manuele 
Published: March 2023

SUMMARYNucleic acid sensing by endolysosomal Toll-like receptors (TLRs) plays a crucial role in innate immune responses to invading pathogens. In contrast, aberrant activation of these pathways is associated with several autoimmune diseases, such as systemic lupus erythematosus (SLE). The endolysosomal solute carrier family 15 member 4 (SLC15A4) is required for TLR7, TLR8 and TLR9-induced inflammatory responses and for disease development in different SLE models. SLC15A4 has been proposed to affect TLR7-9 activation through its transport activity, as well as by assembling in an IRF5-activating signalling complex with the innate immune adaptor TASL, but the relative contribution of these different functions remains unclear. Here we show that the essential role of SLC15A4 is to recruit TASL to the endolysosomal compartment, while its transport activity is dispensable. Targeting of TASL to the endolysosomal compartment is sufficient to rescue TLR7-9-induced IRF5 activation in SLC15A4-deficient cells. In line with this, lysosomal-localized TASL restored proinflammatory cytokines and type I interferon responses in absence of SLC15A4. Our study reveals that SLC15A4 acts as a signalling scaffold and that this transport-independent function is essential to control TLR7-9-mediated inflammatory responses. These findings further support targeting the SLC15A4-TASL complex as a potential therapeutic strategy for SLE and related diseases.