bluuebunny/crossref_metadata_2025_split huggingface dataset:
Carboligation of 5-(hydroxymethyl)furfural via whole-cell catalysis to form C12 furan derivatives and their use for hydrazone formation
Authors: Glaser Sara Jonsdottir , Pyo Sang-Hyun , Rehnberg Nicola , Rother Dörte , Hatti-Kaul Rajni 
Published: June 2023

Abstract
Background
Biobased 5-(hydroxymethyl)furfural (5-HMF) is an important platform that offers numerous possibilities for upgrading to a range of chemical, material and fuel products. One reaction of special interest is the carboligation of 5-HMF into C12 compounds, including 5,5’-bis(hydroxymethyl)furoin (DHMF) and its subsequent oxidation to 5,5’-bis(hydroxymethyl)furil (BHMF), due to their potential applications as building blocks for polymers and hydrocarbon fuels.

Objectives
This study was aimed at evaluating the use of whole cells of Escherichia coli carrying recombinant Pseudomonas fluorescens benzaldehyde lyase as biocatalysts for 5-HMF carboligation, recovery of the C12 derivatives DHMF and BHMF, and testing the reactivity of the carbonyl groups for hydrazone formation for potential use as cross-linking agents in surface coatings. The effects of different parameters on the reaction were investigated to find the conditions for achieving high product yield and productivity.

Results
The reaction with 5 g/L 5-HMF using 2 gCDW/L recombinant cells in 10% dimethyl carbonate, pH 8.0 at 30 °C resulted in DHMF yield of 81.7% (0.41 mol/mol) at 1 h, and BHMF yield of 96.7% (0.49 mol/mol) at 72 h reaction time. Fed-batch biotransformation generated a maximum DHMF concentration of 53.0 g/L (or 26.5 g DHMF/g cell catalyst) with productivity of 10.6 g/L.h, after five feeds of 20 g/L 5-HMF. Both DHMF and BHMF reacted with adipic acid dihydrazide to form hydrazone that was confirmed by Fourier-transform infrared spectroscopy and 1H NMR.

Conclusion
The study demonstrates the potential application of recombinant E. coli cells for cost-effective production of commercially relevant products.
Abundant diversity of accessory genetic elements and associated antimicrobial resistance genes in pseudomonas aeruginosa isolates from a single Chinese hospital
Authors: Mu Xiaofei , Li Xinyue , Yin Zhe , Jing Ying , Chen Fangzhou , Gao Huixia , Zhang Zhi , Tian Yueyang , Guo Huiqian , Lu Xiuhui , He Jiaqi , Zheng Yali , Zhou Dongsheng , Wang Peng , Dai Erhei 
Published: June 2023

Abstract
Objectives
Pseudomonas aeruginosa has intrinsic antibiotic resistance and the strong ability to acquire additional resistance genes. However, a limited number of investigations provide detailed modular structure dissection and evolutionary analysis of accessory genetic elements (AGEs) and associated resistance genes (ARGs) in P. aeruginosa isolates. The objective of this study is to reveal the prevalence and transmission characteristics of ARGs by epidemiological investigation and bioinformatics analysis of AGEs of P. aeruginosa isolates taken from a Chinese hospital.

Methods
Draft-genome sequencing was conducted for P. aeruginosa clinical isolates (n = 48) collected from a single Chinese hospital between 2019 and 2021. The clones of P. aeruginosa isolates, type 3 secretion system (T3SS)-related virulotypes, and the resistance spectrum were identified using multilocus sequence typing (MLST), polymerase chain reaction (PCR), and antimicrobial susceptibility tests. In addition, 17 of the 48 isolates were fully sequenced. An extensive modular structure dissection and genetic comparison was applied to AGEs of the 17 sequenced P. aeruginosa isolates.

Results
From the draft-genome sequencing, 13 STs were identified, showing high genetic diversity. BLAST search and PCR detection of T3SS genes (exoT, exoY, exoS, and exoU) revealed that the exoS+/exoU- virulotype dominated. At least 69 kinds of acquired ARGs, involved in resistance to 10 different categories of antimicrobials, were identified in the 48 P. aeruginosa isolates. Detailed genetic dissection and sequence comparisons were applied to 25 AGEs from the 17 isolates, together with five additional prototype AGEs from GenBank. These 30 AGEs were classified into five groups -- integrative and conjugative elements (ICEs), unit transposons, IncpPBL16 plasmids, Incp60512−IMP plasmids, and IncpPA7790 plasmids.

Conclusion
This study provides a broad-scale and deeper genomics understanding of P. aeruginosa isolates taken from a single Chinese hospital. The isolates collected are characterized by high genetic diversity, high virulence, and multiple drug resistance. The AGEs in P. aeruginosa chromosomes and plasmids, as important genetic platforms for the spread of ARGs, contribute to enhancing the adaptability of P. aeruginosa in hospital settings.
Development and validation of a nomogram for predicting metabolic-associated fatty liver disease in the Chinese physical examination population
Authors: Zhou Bingqian , Gong Ni , Huang Xinjuan , Zhu Jingchi , Qin Chunxiang , He Qingnan 
Published: June 2023

Abstract
Aim
We aim to develop and validate a nomogram including readily available clinical and laboratory indicators to predict the risk of metabolic-associated fatty liver disease (MAFLD) in the Chinese physical examination population.

Methods
The annual physical examination data of Chinese adults from 2016 to 2020 were retrospectively analyzed. We extracted the clinical data of 138 664 subjects and randomized participants to the development and validation groups (7:3). Significant predictors associated with MAFLD were identified by using univariate and random forest analyses, and a nomogram was constructed to predict the risk of MAFLD based on a Lasso logistic model. Receiver operating characteristic curve analysis, calibration curves, and decision curve analysis were used to verify the discrimination, calibration, and clinical practicability of the nomogram, respectively.

Results
Ten variables were selected to establish the nomogram for predicting MAFLD risk: sex, age, waist circumference (WC), uric acid (UA), body mass index (BMI), waist-to-hip ratio (WHR), systolic blood pressure (SBP), fasting plasma glucose (FPG), triglycerides (TG), and alanine aminotransferase (ALT). The nomogram built on the nonoverfitting multivariable model showed good prediction of discrimination (AUC 0.914, 95% CI: 0.911–0.917), calibration, and clinical utility.

Conclusions
This nomogram can be used as a quick screening tool to assess MAFLD risk and identify individuals at high risk of MAFLD, thus contributing to the improved management of MAFLD.
Nesfatin-3 possesses divalent metal ion binding properties, which remain hidden in the nucleobindin-2 precursor protein
Authors: Skorupska-Stasiak Anna , Bystranowska Dominika , Tran Józef Ba , Krężel Artur , Ożyhar Andrzej 
Published: June 2023

Abstract
Background
Nucleobindin-2 (Nucb2) is a multidomain protein that, due to its structure, participates in many physiological processes. It was originally identified in several regions of the hypothalamus. However, more recent studies have redefined and extended the function of Nucb2 far beyond its initially observed role as a negative modulator of food intake.

Results
Previously, we described Nucb2 as structurally divided into two parts: the Zn2+-sensitive N-terminal half and the Ca2+-sensitive C-terminal half. Here, we investigated the structural and biochemical properties of its C-terminal half, which, after posttranslational processing, yields the formation of a fully uncharacterized peptide product known as nesfatin-3. Nesfatin-3 likely contains all the key respective structural regions of Nucb2. Hence, we expected that its molecular properties and affinity toward divalent metal ions might resemble those of Nucb2. Surprisingly, the obtained results showed that the molecular properties of nesftain-3 were completely different from those of its precursor protein. Moreover, we designed our work as a comparative analysis of two nesfatin-3 homologs. We noticed that in their apo forms, both proteins had similar shapes and existed in solution as extended molecules. They both interacted with divalent metal ions, and this interaction manifested itself in a compaction of the protein molecules. Despite their similarities, the differences between the homologous nesfatin-3s were even more informative. Each of them favored interaction with a different metal cation and displayed unique binding affinities compared either to each other or to Nucb2.

Conclusions
The observed alterations suggested different from Nucb2 physiological roles of nesfatin-3 and different impacts on the functioning of the tissues and on metabolism and its control. Our results clearly demonstrated that nesfatin-3 possessed divalent metal ion binding properties, which remained hidden in the nucleobindin-2 precursor protein.
Growth hormone reduces aneuploidy and improves oocytes quality by JAK2-MAPK3/1 pathway in aged mice
Authors: Luo Yun-Yao , Zeng Xi , Zhu Ling , Li Chong , Xie Juan , Dong Qiang , Sun Qing-Yuan , Huang Guo-Ning , Li Jing-Yu 
Published: June 2023

Abstract
Background
The global delay in women’s reproductive age has raised concerns about age-related infertility. The decline in oocyte quality is a limiting factor of female fertility, yet there are currently no strategies to preserve oocyte quality in aged women. Here, we investigated the effects of growth hormone (GH) supplementation on aneuploidy of aged oocytes.

Methods
For the in vivo experiments, the aged mice (8-month-old) were intraperitoneally injected with GH daily for 8 weeks. For the in vitro experiments, germinal vesicle oocytes from aged mice were treated with GH during oocyte maturation. The impacts of GH on ovarian reserve before superovulation was evaluated. Oocytes were retrieved to assess oocyte quality, aneuploidy and developmental potential characteristics. Quantitative proteomics analysis was applied to investigate the potential targets of GH in aged oocytes.

Results
In this study, we demonstrated that GH supplementation in vivo not only alleviated the decline in oocyte number caused by aging, but also improved the quality and developmental potential of aged oocytes. Strikingly, we discovered that GH supplementation reduced aneuploidy in aged oocytes. Mechanically, in addition to improving mitochondrial function, our proteomic analysis indicated that the MAPK3/1 pathway may be involved in the reduction in aneuploidy of aged oocytes, as confirmed both in vivo and in vitro. In addition, JAK2 may also act as a mediator in how GH regulates MAPK3/1.

Conclusions
In conclusion, our research reveals that GH supplementation protects oocytes against aging-related aneuploidy and enhances the quality of aged oocytes, which has clinical significance for aged women undergoing assisted reproduction technology.

Graphical Abstract
Kawasaki disease (KD) and multisystem inflammatory syndrome in children (MIS-C) in a Middle Eastern patient cohort
Authors: Yavuz Lemis , AlHamdani Sarmad , Alasrawi Samah , Wafadari Deena , Al-Fraihat Ali , Bebars Marwa A. , Nath Jaidev , Arango Diego , Pallavidino Marco , Jain Ruchi , Yavuz Sinan , AlAwadhi Mohamed , Alkhayat Abdulla , Tayoun Ahmad Abou , Abuhammour Walid Mohammad 
Published: June 2023

Abstract
Objective
This is a comprehensive characteristic study of Kawasaki disease (KD) and Multi system inflammatory syndrome in children (MIS-C) in the Middle East that creates a formula to differentiate between the two.

Methods
We conducted a descriptive comparative study of KD and MIS-C in the United Arab Emirates. Retrospective MIS-C and KD cohorts were recruited between January 2017 until August 2021.We compared clinical and laboratory characteristics between both groups. Our data were compared with 87 patients with KD or MIS-C from the literature.

Results
We report on123 patients. Sixty-seven (54%) met the criteria for KD (36 male, 43 Arab), and fifty-six (46%) met the criteria for MIS-C (28 male, 35 Arab). The median age was 2.2 years range (0.15–10.7) in the KD group and 7.3 years (0.7–15.2) in the MIS-C group (P < 0.001). The clinical features on admission showed an increase in gastrointestinal manifestations in MIS-C compared with KD (84% vs. 31%, P < 0.001). Laboratory tests on admission revealed a significant increase in the following tests in KD compared with MIS-C; white blood cells (mean 16.30 10(3) µcL vs. 11.56 10(3) µcL, P < 0.001), absolute neutrophils (mean 10.72 10(3) µcL vs. 8.21 10(3) µcL, P 0.008), absolute lymphocytes (mean 3.92 10(3) µcL vs. 2.59 10(3) µcL, P 0.003), erythrocyte sedimentation rate (mean 73 mm/hr vs. 51 mm/hr, P < 0.001) and platelets (median {390 10(3) µcL vs. 236 10(3) µcL, P < 0.001}). In contrast, procalcitonin and ferritin were increased in the MIS-C group (2.4 )ng/mL, 370 ng/mL; P < 0.001). Cardiac dysfunction and admission to the pediatric intensive care unit were higher in MIS-C than in KD (21% vs. 8% and 33% vs. 7.5%, respectively, P < 0.001).

Conclusion
This study showed vast similarities between KD and MIS-C, suggesting that they lie along the same clinical spectrum. However, there are several differences between the two disease entities suggesting that MIS-C most likely represents a new severe variant of KD. Based on our findings in this study, we created a formula to differentiate between KD and MIS-C.
Long-term forecasting of a motor outcome following rehabilitation in chronic stroke via a hierarchical bayesian dynamic model
Authors: Schweighofer Nicolas , Ye Dongze , Luo Haipeng , D’Argenio David Z. , Winstein Carolee 
Published: June 2023

Abstract
Background
Given the heterogeneity of stroke, it is important to determine the best course of motor therapy for each patient, i.e., to personalize rehabilitation based on predictions of long-term outcomes. Here, we propose a hierarchical Bayesian dynamic (i.e., state-space) model (HBDM) to forecast long-term changes in a motor outcome due to rehabilitation in the chronic phase post-stroke.

Methods
The model incorporates the effects of clinician-supervised training, self-training, and forgetting. In addition, to improve forecasting early in rehabilitation, when data are sparse or unavailable, we use the Bayesian hierarchical modeling technique to incorporate prior information from similar patients. We use HBDM to re-analyze the Motor Activity Log (MAL) data of participants with chronic stroke included in two clinical trials: (1) the DOSE trial, in which participants were assigned to a 0, 15, 30, or 60-h dose condition (data of 40 participants analyzed), and (2) the EXCITE trial, in which participants were assigned a 60-h dose, in either an immediate or a delayed condition (95 participants analyzed).

Results
For both datasets, HBDM accounts well for individual dynamics in the MAL during and outside of training: mean RMSE = 0.28 for all 40 DOSE participants (participant-level RMSE 0.26 ± 0.19—95% CI) and mean RMSE = 0.325 for all 95 EXCITE participants (participant-level RMSE 0.32 ± 0.31), which are small compared to the 0-5 range of the MAL. Bayesian leave-one-out cross-validation shows that the model has better predictive accuracy than static regression models and simpler dynamic models that do not account for the effect of supervised training, self-training, or forgetting. We then showcase model’s ability to forecast the MAL of “new” participants up to 8 months ahead. The mean RMSE at 6 months post-training was 1.36 using only the baseline MAL and then decreased to 0.91, 0.79, and 0.69 (respectively) with the MAL following the 1st, 2nd, and 3rd bouts of training. In addition, hierarchical modeling improves prediction for a patient early in training. Finally, we verify that this model, despite its simplicity, can reproduce previous findings of the DOSE trial on the efficiency, efficacy, and retention of motor therapy.

Conclusions
In future work, such forecasting models can be used to simulate different stages of recovery, dosages, and training schedules to optimize rehabilitation for each person.
Trial registration This study contains a re-analysis of data from the DOSE clinical trial ID NCT01749358 and the EXCITE clinical trial ID NCT00057018
Emergency management of patients with Glanzmann thrombasthenia: consensus recommendations from the French reference center for inherited platelet disorders
Authors: Fiore Mathieu , Giraudet Janine-Sophie , Alessi Marie-Christine , Falaise Céline , Desprez Dominique , d’Oiron Roseline , Voisin Sophie , Hurtaud Marie-Françoise , Boutroux Hélène , Saultier Paul , Lavenu-Bombled Cécile , Bagou Gilles , Dubucs Xavier , Chauvin Anthony , Leroy Christophe , Meckert Francine , Kerbaul François , Giraud Nicolas , Pühler Ambra , Rath Ana 
Published: June 2023

AbstractGlanzmann thrombasthenia (GT) is a genetic bleeding disorder characterised by severely reduced/absent platelet aggregation in response to multiple physiological agonists. The severity of bleeding in GT varies markedly, as does the emergency situations and complications encountered in patients. A number of emergency situations may occur in the context of GT, including spontaneous or provoked bleeding, such as surgery or childbirth. While general management principles apply in each of these settings, specific considerations are essential for the management of GT to avoid escalating minor bleeding events. These recommendations have been developed from a literature review and consensus from experts of the French Network for Inherited Platelet Disorders, the French Society of Emergency Medicine, representatives of patients’ associations, and Orphanet to aid decision making and optimise clinical care by non-GT expert health professionals who encounter emergency situations in patients with GT.
Differences in perceived threat and trauma in children during the COVID-19 pandemic
Authors: Kohlboeck Gabriele , Wenter Anna , Sevecke Kathrin , Exenberger Silvia 
Published: June 2023

Abstract
Background
The past 2 years of the COVID-19 pandemic were stressful for most children and adolescents; some children may have experienced a high level of stress and trauma. To date, no study has examined self-reported stress and trauma levels due to COVID-19 in children. This study aimed to assess perceived threat, exposure and trauma symptoms in children aged 7–13 years. In addition, we explored whether parent-reported factors could predict a higher risk of COVID-19 vulnerability in their children.

Method
Cross-sectional data were collected from 752 children to assess COVID-19 threat, exposure and trauma symptoms using the self- and parent-reported Child and Adolescent Trauma Screening Self-Report (CATS) Trauma questionnaire. We used exploratory analyses (factor analysis of mixed data and hierarchical clustering) to identify subgroups (i.e., clusters) of children sharing similar characteristics in the dataset. Linear regression modeling was applied to determine the likelihood of higher threat and vulnerability in children with parent-reported COVID-19 threat, exposure, CATS trauma symptoms, behaviors on the Child Behavior Checklist (CBCL), and posttraumatic growth (PTG).

Results
We identified a high-risk group of children reporting clinically relevant trauma symptoms and COVID-19-related fears. Parents’ reports of trauma could be used to identify children at high risk.

Conclusions
Approximately 25% of children reported moderate to clinically relevant levels of trauma symptom. It is especially important to offer adequate support to these children to ease the trauma and prevent their symptoms from developing into psychopathology.
Breast cancer brain metastasis: from etiology to state-of-the-art modeling
Authors: Farahani Mohammad Kamalabadi , Gharibshahian Maliheh , Rezvani Alireza , Vaez Ahmad 
Published: June 2023

AbstractCurrently, breast carcinoma is the most common form of malignancy and the main cause of cancer mortality in women worldwide. The metastasis of cancer cells from the primary tumor site to other organs in the body, notably the lungs, bones, brain, and liver, is what causes breast cancer to ultimately be fatal. Brain metastases occur in as many as 30% of patients with advanced breast cancer, and the 1-year survival rate of these patients is around 20%. Many researchers have focused on brain metastasis, but due to its complexities, many aspects of this process are still relatively unclear. To develop and test novel therapies for this fatal condition, pre-clinical models are required that can mimic the biological processes involved in breast cancer brain metastasis (BCBM). The application of many breakthroughs in the area of tissue engineering has resulted in the development of scaffold or matrix-based culture methods that more accurately imitate the original extracellular matrix (ECM) of metastatic tumors. Furthermore, specific cell lines are now being used to create three-dimensional (3D) cultures that can be used to model metastasis. These 3D cultures satisfy the requirement for in vitro methodologies that allow for a more accurate investigation of the molecular pathways as well as a more in-depth examination of the effects of the medication being tested. In this review, we talk about the latest advances in modeling BCBM using cell lines, animals, and tissue engineering methods.
A gene signature can predict risk of MGUS progressing to multiple myeloma
Authors: Sun Fumou , Cheng Yan , Ying Jun , Mery David , Al Hadidi Samer , Wanchai Visanu , Siegel Eric R. , Xu Hongwei , Gai Dongzheng , Ashby Timothy Cody , Bailey Clyde , Chen Jin-Ran , Schinke Carolina , Thanendrarajan Sharmilan , Zangari Maurizio , Janz Siegfried , Barlogie Bart , Van Rhee Frits , Tricot Guido , Shaughnessy John D. , Zhan Fenghuang 
Published: June 2023

AbstractMultiple myeloma is preceded by monoclonal gammopathy of undetermined significance (MGUS). Serum markers are currently used to stratify MGUS patients into clinical risk groups. A molecular signature predicting MGUS progression has not been produced. We have explored the use of gene expression profiling to risk-stratify MGUS and developed an optimized signature based on large samples with long-term follow-up. Microarrays of plasma cell mRNA from 334 MGUS with stable disease and 40 MGUS that progressed to MM within 10 years, was used to define a molecular signature of MGUS risk. After a three-fold cross-validation analysis, the top thirty-six genes that appeared in each validation and maximized the concordance between risk score and MGUS progression were included in the gene signature (GS36). The GS36 accurately predicted MGUS progression (C-statistic is 0.928). An optimal cut-point for risk of progression by the GS36 score was found to be 0.7, which identified a subset of 61 patients with a 10-year progression probability of 54.1%. The remainder of the 313 patients had a probability of progression of only 2.2%. The sensitivity and specificity were 82.5% and 91.6%. Furthermore, combination of GS36, free light chain ratio and immunoparesis identified a subset of MGUS patients with 82.4% risk of progression to MM within 10 years. A gene expression signature combined with serum markers created a highly robust model for predicting risk of MGUS progression. These findings strongly support the inclusion of genomic analysis in the management of MGUS to identify patients who may benefit from more frequent monitoring.