bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mpox vaccination routes: prevalence, correlates and adverse effects of subcutaneous versus intradermal vaccination at a mass vaccination clinic in Sydney, Australia
Authors: Pollack Alisa , Lo Winston , Imamura Hanaho , Caterson Ian 
Published: April 2024

AbstractThe Royal Prince Alfred Hospital Mpox Vaccination Clinic opened in response to the 2022 multicountry mpox outbreak. A total of 9500 vaccinations were administered intradermally and subcutaneously during the first 16 weeks of clinic operation. The rate of adverse events was 0.1%. Compared to people who received the vaccine intradermally, those who received it subcutaneously were more likely to be aged 30–39 years (P = 0.047), sexual partners of gay and bisexual men (P < 0.001), eligible for Medicare (P < 0.001) and born in the Philippines (P = 0.01) or Malaysia (P = 0.04).
Proteomic studies in VWA1‐related neuromyopathy allowed new pathophysiological insights and the definition of blood biomarkers
Authors: Athamneh Mohammed , Daya Nassam , Hentschel Andreas , Gangfuss Andrea , Ruck Tobias , Marina Adela Della , Schara‐Schmidt Ulrike , Sickmann Albert , Güttsches Anne‐Katrin , Deschauer Marcus , Preusse Corinna , Vorgerd Matthias , Roos Andreas 
Published: April 2024

AbstractBi‐allelic variants in VWA1, encoding Von Willebrand Factor A domain containing 1 protein localized to the extracellular matrix (ECM), were linked to a neuromuscular disorder with manifestation in child‐ or adulthood. Clinical findings indicate a neuromyopathy presenting with muscle weakness. Given that pathophysiological processes are still incompletely understood, and biomarkers are still missing, we aimed to identify blood biomarkers of pathophysiological relevance: white blood cells (WBC) and plasma derived from six VWA1‐patients were investigated by proteomics. Four proteins, BET1, HNRNPDL, NEFM and PHGDH, known to be involved in neurological diseases and dysregulated in WBC were further validated by muscle‐immunostainings unravelling HNRNPDL as a protein showing differences between VWA1‐patients, healthy controls and patients suffering from neurogenic muscular atrophy and BICD2‐related neuromyopathy. Immunostaining studies of PHGDH indicate its involvement in apoptotic processes via co‐localisation with caspase‐3. NEFM showed an increase in cells within the ECM in biopsies of all patients studied. Plasma proteomics unravelled dysregulation of 15 proteins serving as biomarker candidates among which a profound proportion of increased ones (6/11) are mostly related to antioxidative processes and have even partially been described as blood biomarkers for other entities of neuromuscular disorders before. CRP elevated in plasma also showed an increase in the extracellular space of VWA1‐mutant muscle. Results of our combined studies for the first time describe pathophysiologically relevant biomarkers for VWA1‐related neuromyopathy and suggest that VWA1‐patient derived blood might hold the potential to study disease processes of clinical relevance, an important aspect for further preclinical studies.
Macrophage‐derived extracellular vesicles alter cardiac recovery and metabolism in a rat heart model of donation after circulatory death
Authors: Graf Selianne , Biemmi Vanessa , Arnold Maria , Segiser Adrian , Müller Anja , Méndez‐Carmona Natalia , Egle Manuel , Siepe Matthias , Barile Lucio , Longnus Sarah 
Published: April 2024

AbstractConditions to which the cardiac graft is exposed during transplantation with donation after circulatory death (DCD) can trigger the recruitment of macrophages that are either unpolarized (M0) or pro‐inflammatory (M1) as well as the release of extracellular vesicles (EV). We aimed to characterize the effects of M0 and M1 macrophage‐derived EV administration on post‐ischaemic functional recovery and glucose metabolism using an isolated rat heart model of DCD. Isolated rat hearts were subjected to 20 min aerobic perfusion, followed by 27 min global, warm ischaemia or continued aerobic perfusion and 60 min reperfusion with or without intravascular administration of EV. Four experimental groups were compared: (1) no ischaemia, no EV; (2) ischaemia, no EV; (3) ischaemia with M0‐macrophage‐dervied EV; (4) ischaemia with M1‐macrophage‐derived EV. Post‐ischaemic ventricular and metabolic recovery were evaluated. During reperfusion, ventricular function was decreased in untreated ischaemic and M1‐EV hearts, but not in M0‐EV hearts, compared to non‐ischaemic hearts (p < 0.05). In parallel with the reduced functional recovery in M1‐EV versus M0‐EV ischaemic hearts, rates of glycolysis from exogenous glucose and oxidative metabolism tended to be lower, while rates of glycogenolysis and lactate release tended to be higher. EV from M0‐ and M1‐macrophages differentially affect post‐ischaemic cardiac recovery, potentially by altering glucose metabolism in a rat model of DCD. Targeted EV therapy may be a useful approach for modulating cardiac energy metabolism and optimizing graft quality in the setting of DCD.
Identification of PPAR‐related differentially expressed genes liver hepatocellular carcinoma and construction of a prognostic model based on data analysis and molecular docking
Authors: Wang Yumeng , Li Shuqiang , Liu Zihang , Li Xuanzheng , Yu Yifan , Liu Hao 
Published: April 2024

AbstractLiver hepatocellular carcinoma (LIHC) is a significant global health issue with limited treatment options. In this study, single‐cell RNA sequencing (scRNA‐seq) data were used to explore the molecular mechanisms of LIHC development and identify potential targets for therapy. The expression of peroxisome proliferator‐activated receptors (PPAR)‐related genes was analysed in LIHC samples, and primary cell populations, including natural killer cells, T cells, B cells, myeloid cells, endothelial cells, fibroblasts and hepatocytes, were identified. Analysis of the differentially expressed genes (DEGs) between normal and tumour tissues revealed significant changes in gene expression in various cell populations. PPAR activity was evaluated using the ‘AUCell’ R software, which indicated higher scores in the normal versus the malignant hepatocytes. Furthermore, the DEGs showed significant enrichment of pathways related to lipid and glucose metabolism, cell development, differentiation and inflammation. A prognostic model was then constructed using 8 PPARs‐related genes, including FABP5, LPL, ACAA1, PPARD, FABP4, PLIN1, HMGCS2 and CYP7A1, identified using least absolute shrinkage and selection operator‐Cox regression analysis, and validated in the TCGA‐LIHC, ICGI‐LIRI and GSE14520 datasets. Patients with low‐risk scores had better prognosis in all cohorts. Based on the expression of the eight model genes, two clusters of patients were identified by ConsensusCluster analysis. We also predicted small‐molecule drugs targeting the model genes, and identified perfluorohexanesulfonic acid, triflumizole and perfluorononanoic acid as potential candidates. Finally, wound healing assay confirmed that PPARD can promote the migration of liver cancer cells. Overall, our study offers novel perspectives on the molecular mechanisms of LIHC and potential areas for therapeutic intervention, which may facilitate the development of more effective treatment regimens.
An enhanced hybrid model for batch sugar crystallization based on the pattern recognition for overall heat transfer coefficient using a machine learning approach
Authors: Azizi Mohammad , Mosharaf‐Dehkordi Mehdi , Fouladi Nourbaksh , Kazanci Caner 
Published: April 2024

AbstractA hybrid model is developed and evaluated to simulate the heat and mass transfer in the crystallization unit of a sugar factory. While the mass transfer is modeled by using the kinetic growth rate model, the heat transfer is simulated by applying the energy balance to the model. Here, the overall convection heat transfer coefficient of the crystallizer's heat exchanger is considered as a temperature‐dependent function. As this makes the governing equations more realistic, it can help to increase the model accuracy. Additionally, a thorough examination of key practical equations and principles governing the sugar crystallization process is presented. A regression learner method is applied to extract the pattern of the overall heat transfer coefficient. According to our results, the regression learning model successfully predicts the heat transfer coefficient with an average 7% deviation from experimental results. For the hybrid model, an average deviation of about 10% is observed. The crystallizer's behavior is somehow linear, indicating a constant growth rate of sugar crystals. Furthermore, the heat transfer in the crystallizer is improved by increasing the working temperatures.Practical applicationsThe method and obtained results of this work could be used in the following practical purposes: to find the optimum working temperatures of crystallizers used in sugar industry and to predict total working time of batch crystallizers versus working parameters.
Correspondent Banking, Systemic Risk, and the Panic of 1893
Authors: COTTER CHRISTOPHER , ROUSSEAU PETER L. 
Published: April 2024

AbstractDuring the U.S. National Banking Period (1863–1913), a network of correspondent bank relationships created vulnerabilities to bank failures and financial panics. Using data on correspondent relationships for all national, state, savings, and private banks just before the Panic of 1893, along with the precise dates of bank suspensions, we show that prior suspensions of both upstream and downstream correspondents increased the likelihood that a given bank would itself suspend, and that these effects varied over the Panic. Conditional on suspension, banks with prior correspondent suspensions were also more likely to reopen. New York Clearinghouse banks, despite low incidences of actual failure, saw significant balance sheet weakening early in the Panic when downstream respondents suspended, and falling stock prices throughout.
A perspective on automated rapid eye movement sleep assessment
Authors: Baumert Mathias , Phan Huy 
Published: April 2024

SummaryRapid eye movement sleep is associated with distinct changes in various biomedical signals that can be easily captured during sleep, lending themselves to automated sleep staging using machine learning systems. Here, we provide a perspective on the critical characteristics of biomedical signals associated with rapid eye movement sleep and how they can be exploited for automated sleep assessment. We summarise key historical developments in automated sleep staging systems, having now achieved classification accuracy on par with human expert scorers and their role in the clinical setting. We also discuss rapid eye movement sleep assessment with consumer sleep trackers and its potential for unprecedented sleep assessment on a global scale. We conclude by providing a future outlook of computerised rapid eye movement sleep assessment and the role AI systems may play.
Association between dietary protein intake and constipation: Data from the National Health and nutrition examination survey 2005–2010
Authors: Li Yi , Tong Wei‐Dong 
Published: April 2024

AbstractBackgroundThe association between dietary protein intake and constipation remains inconclusive. The aim of this study was to investigate whether dietary protein intake is associated with constipation.MethodsThis cross‐sectional study included 13,941 adults from the 2005 to 2010 National Health and Nutrition Examination Survey. A weighted logistic regression analysis was used to control for confounding factors. In addition, weighted interaction and stratified analyses were conducted to ascertain the potential modifying factors.ResultsThe prevalence of constipation was 7.5% when constipation was defined by stool consistency and 3.5% when constipation was defined by stool frequency. After adjusting for covariates, an increase in dietary protein intake of 10 g was not associated with constipation, as defined by stool frequency (OR = 0.94, 95% CI = 0.54, 1.62) or stool consistency (OR = 1.02, 95% CI = 0.75, 1.39). Subgroup analyses revealed that dietary protein intake was associated with an increase in constipation defined by stool consistency risk in participants who consumed a low amount of carbohydrates (OR = 1.08, 95% CI = 1.02–1.14 for every 10‐g increase in protein intake), but a decrease in risk in participants in the moderate‐carbohydrate group (OR = 0.94, 95% CI = 0.89–0.99 for every 10‐g increase in protein intake), suggesting a significant interaction (p = 0.001).Conclusion & InferencesDietary protein intake is not associated with stool consistency or frequency‐defined constipation. However, the association between dietary protein intake and constipation defined by stool consistency in participants with a low carbohydrate intake differed from that in participants with a moderate carbohydrate intake.
He who controls Clostridia and Bacteroidia controls the gut microbiome: The concept of targeted probiotics to restore the balance of keystone taxa in irritable bowel syndrome
Authors: Pokrotnieks Juris , Sitkin Stanislav 
Published: April 2024

AbstractThis article describes the concept of probiotics for patients with irritable bowel syndrome to target functionally active bacteria predominantly belonging to the Clostridia and Bacteroidia, which play a key role in maintaining the balance of the gut microbiota.
MicroRNA164e suppresses NAC100 transcription factor‐mediated synthesis of seed storage proteins in chickpea
Authors: Chakraborty Anirban , Singh Baljinder , Pandey Vimal , Parida Swarup K. , Bhatia Sabhyata 
Published: April 2024

Summary
Development of protein‐enriched chickpea varieties necessitates an understanding of specific genes and key regulatory circuits that govern the synthesis of seed storage proteins (SSPs).
Here, we demonstrated the novel involvement of Ca‐miR164e‐CaNAC100 in regulating SSP synthesis in chickpea.
Ca‐miRNA164e was significantly decreased during seed maturation, especially in high‐protein accessions. The miRNA was found to directly target the transactivation conferring C‐terminal region of a nuclear‐localized transcription factor, CaNAC100 as revealed using RNA ligase‐mediated‐rapid amplification of cDNA ends and target mimic assays. The functional role of CaNAC100 was demonstrated through seed‐specific overexpression (NACOE) resulting in significantly augmented seed protein content (SPC) consequential to increased SSP transcription. Further, NACOE lines displayed conspicuously enhanced seed weight but reduced numbers and yield. Conversely, a downregulation of CaNAC100 and SSP transcripts was evident in seed‐specific overexpression lines of Ca‐miR164e that culminated in significantly lowered SPC. CaNAC100 was additionally demonstrated to transactivate the SSP‐encoding genes by directly binding to their promoters as demonstrated using electrophoretic mobility shift and dual‐luciferase reporter assays.
Taken together, our study for the first time established a distinct role of CaNAC100 in positively influencing SSP synthesis and its critical regulation by CamiR164e, thereby serving as an understanding that can be utilized for developing SPC‐rich chickpea varieties.
Clinical conundrums in pediatric kidney transplantation: What we know about the role of angiotensin II type I receptor antibodies in pediatric kidney transplantation and the path forward
Authors: Pearl Meghan H. 
Published: April 2024

AbstractAntibodies to angiotensin II type 1 receptor (AT1R‐Abs) are among the most well‐studied non‐HLA antibodies in renal transplantation. These antibodies have been shown to be common in pediatric kidney transplantation and associated with antibody‐mediated rejection (AMR), vascular inflammation, development of human leukocyte donor‐specific antibodies (HLA DSA), and allograft loss. As AT1R‐Ab testing becomes more readily accessible, evidence to guide clinical practice for testing and treating AT1R‐Ab positivity in pediatric kidney transplant recipients remains limited. This review discusses the clinical complexities of evaluating AT1R‐Abs given the current available evidence.
Disentangling hydroxynitrile glucoside biosynthesis in a barley (Hordeum vulgare) metabolon provides access to elite malting barleys for ethyl carbamate‐free whisky production
Authors: Jørgensen Morten E. , Houston Kelly , Jørgensen Hans Jørgen L. , Thomsen Hanne C. , Tekaat Linda , Krogh Camilla Timmermann , Mellor Silas B. , Braune Katarzyna Birch , Damm Mette L. , Pedas Pai Rosager , Voss Cynthia , Rasmussen Magnus Wohlfahrt , Nielsen Kasper , Skadhauge Birgitte , Motawia Mohammed S. , Møller Birger Lindberg , Dockter Christoph , Sørensen Mette 
Published: April 2024

SUMMARYBarley produces several specialized metabolites, including five α‐, β‐, and γ‐hydroxynitrile glucosides (HNGs). In malting barley, presence of the α‐HNG epiheterodendrin gives rise to undesired formation of ethyl carbamate in the beverage production, especially after distilling. Metabolite‐GWAS identified QTLs and underlying gene candidates possibly involved in the control of the relative and absolute content of HNGs, including an undescribed MATE transporter. By screening 325 genetically diverse barley accessions, we discovered three H. vulgare ssp. spontaneum (wild barley) lines with drastic changes in the relative ratios of the five HNGs. Knock‐out (KO)‐lines, isolated from the barley FIND‐IT resource and each lacking one of the functional HNG biosynthetic genes (CYP79A12, CYP71C103, CYP71C113, CYP71U5, UGT85F22 and UGT85F23) showed unprecedented changes in HNG ratios enabling assignment of specific and mutually dependent catalytic functions to the biosynthetic enzymes involved. The highly similar relative ratios between the five HNGs found across wild and domesticated barley accessions indicate assembly of the HNG biosynthetic enzymes in a metabolon, the functional output of which was reconfigured in the absence of a single protein component. The absence or altered ratios of the five HNGs in the KO‐lines did not change susceptibility to the fungal phytopathogen Pyrenophora teres causing net blotch. The study provides a deeper understanding of the organization of HNG biosynthesis in barley and identifies a novel, single gene HNG‐0 line in an elite spring barley background for direct use in breeding of malting barley, eliminating HNGs as a source of ethyl carbamate formation in whisky production.
Insights into U‐to‐C RNA editing from the lycophyte Phylloglossum drummondii
Authors: Kwok van der Giezen Farley M. , Viljoen Amy , Campbell‐Clause Leni , Dao Nhan Trong , Colas des Francs‐Small Catherine , Small Ian 
Published: April 2024

SUMMARYThe lycophyte Phylloglossum drummondii is the sole inhabitant of its genus in the Huperzioideae group and one of a small minority of plants which perform uridine to cytidine RNA editing. We assembled the P. drummondii chloroplast and mitochondrial genomes and used RNA sequence data to build a comprehensive profile of organellar RNA editing events. In addition to many C‐to‐U editing events in both organelles, we found just four U‐to‐C editing events in the mitochondrial transcripts cob, nad1, nad5 and rpl2. These events are conserved in related lycophytes in the genera Huperzia and Phlegmariurus. De novo transcriptomes for three of these lycophytes were assembled to search for putative U‐to‐C RNA editing enzymes. Four putative U‐to‐C editing factors could be matched to the four mitochondrial U‐to‐C editing sites. Due to the unusually few numbers of U‐to‐C RNA editing sites, P. drummondii and related lycophytes are useful models for studying this poorly understood mechanism.
Computed tomographic features of exocrine pancreatic carcinomas in dogs and cats
Authors: Dunn Alexandra , Rao Sangeeta , Husbands Brian , Petrovitch Nicholas , Loeber Samantha , Schwarz Tobias , Cline Kelsey , Mai Wilfried , Spain Heather , Curran Kaitlin , Vickery Kate , Marolf Angela 
Published: April 2024

AbstractExocrine pancreatic carcinomas are uncommon in dogs and cats, and diagnosis with diagnostic imaging can be challenging. This retrospective, multi‐institutional, descriptive study was performed to evaluate the CT features of exocrine pancreatic carcinomas. The CT examinations of 18 dogs and 12 cats with exocrine pancreatic carcinomas diagnosed by cytology or histopathology were reviewed. The CT features of exocrine pancreatic carcinomas included a well‐defined mass in 28/30 (93%) with contrast enhancement in 27/30 (90%), commonly heterogeneous 22/30 (73%); often with a nonenhancing fluid to soft tissue attenuating center 12/30 (40%). The right lobe of the pancreas was the most common location, 14/30 (47%), then the left lobe, 10/30 (33%), and the body, 6/30 (20%). Extrahepatic biliary duct dilation was present in six animals; 5/6 (83%) of the masses were located in the right pancreatic lobe. Additional findings included peripancreatic fat‐stranding 17/30 (57%), lymphadenopathy 16/30 (57%), peripancreatic soft tissue nodules 12/30 (40%), and free fluid 10/30 (33%). When comparing the imaging features of dogs and cats, there was a large overlap in imaging characteristics. There was a significant difference between the height of the masses, with dogs having larger masses (P‐value.0028). Lymphadenopathy was more likely in larger masses [increased height (P‐value.029)]. Cats were significantly older than dogs (P‐value.0355). Pancreatic carcinomas were commonly identified as masses with heterogeneous contrast enhancement and a nonenhancing fluid to soft tissue attenuating center with concurrent peripancreatic changes (fat‐stranding and/or soft tissue nodules) and lymphadenopathy.
Analysis of Ultimate Gas Recovery in Shale Reservoirs
Authors: Zhang Yiming , Kleit Andrew , Morgan Eugene , Wang John 
Published: April 2024

Abstract
Horizontal wells with multistage fracture treatments enabled economic gas production from shale gas reservoirs. Recovery from a typical shale reservoir is usually quite low as numerous factors can affect the ultimate recovery. However, recovery factors inside and outside the stimulated reservoir volume (SRV), especially the variations spatially and temporally, are not yet fully understood as the numerical simulation of shale gas production is still challenging. In this study, a dual-porosity, dual-permeability model was built to investigate ultimate gas recovery and its spatial variations throughout the production period. Parametric studies were conducted to evaluate the effect of matrix permeability, fracture conductivity, fracture half length, and operating conditions on recovery factors. Systematic and comprehensive numerical experiments were carried out to generate a probability distribution of ultimate recovery factors. The results presented in this article provide insight into the impact that key parameters have on these recovery factors in and outside the SRV and the range of recovery factors one can expect from shale gas reservoirs. Fracture conductivity has the most impact on recovery in the SRV while matrix permeability can affect the recovery outside the SRV significantly. The expected recovery in the SRV is 24% in shale reservoirs. The methodology in this study provides a foundation to develop more reliable models in accurately forecasting ultimate gas recoveries spatially for shale gas reservoirs. The new understanding can be applied to optimize field development, well spacing, and infill drilling to increase economic recovery.