bluuebunny/crossref_metadata_2025_split huggingface dataset:
Inter-brain synchrony during mother–infant interactive parenting in 3–4-month-old infants with and without an elevated likelihood of autism spectrum disorder
Authors: Minagawa Yasuyo , Hata Masahiro , Yamamoto Eriko , Tsuzuki Daisuke , Morimoto Satoshi 
Published: October 2023

Abstract
Maternal bonding for mammalian infants is critical for their survival. Additionally, it is important for human infants’ development into social creatures. However, despite the ample neurobiological evidence of attachment for the mother’s brain, the interplay of this system in infants is poorly understood. We aimed to identify the neural substrates of synchrony in mothers and infants under three interactive conditions and compare the differences between groups with (n = 16) and without (n = 71) an elevated likelihood of autism spectrum disorder by examining the inter-brain synchrony between mothers and their 3–4-month-old infants. Mother–infant hyperscanning with functional near-infrared spectroscopy was performed during breastfeeding and while each of the mother and experimenter was holding the infants. The results showed almost no group differences, with both groups demonstrating the strongest inter-brain coupling for breastfeeding. The cerebral foci underlying these couplings differed between mothers and infants: the ventral prefrontal cortex, focusing on the right orbitofrontal cortex, in the mother and the left temporoparietal junction in the infant were chiefly involved in connecting the two brains. Furthermore, these synchronizations revealed many significant correlations with behavioral measures, including subsequent language development. The maternal reward-motivational system and the infant’s elementary mentalization system seem to underlie mother–infant coupling during breastfeeding.
Prediction of individual brain age using movie and resting-state fMRI
Authors: Bi Suyu , Guan Yun , Tian Lixia 
Published: October 2023

Abstract
Brain age is a promising biomarker for predicting chronological age based on brain imaging data. Although movie and resting-state functional MRI techniques have attracted much research interest for the investigation of brain function, whether the 2 different imaging paradigms show similarities and differences in terms of their capabilities and properties for predicting brain age remains largely unexplored. Here, we used movie and resting-state functional MRI data from 528 participants aged from 18 to 87 years old in the Cambridge Centre for Ageing and Neuroscience data set for functional network construction and further used elastic net for age prediction model building. The connectivity properties of movie and resting-state functional MRI were evaluated based on the connections supporting predictive model building. We found comparable predictive abilities of movie and resting-state connectivity in estimating brain age of individuals, as evidenced by correlation coefficients of 0.868 and 0.862 between actual and predicted age, respectively. Despite some similarities, notable differences in connectivity properties were observed between the predictive models using movie and resting-state functional MRI data, primarily involving components of the default mode network. Our results highlight that both movie and resting-state functional MRI are effective and promising techniques for predicting brain age. Leveraging its data acquisition advantages, such as improved child and patient compliance resulting in reduced motion artifacts, movie functional MRI is emerging as an important paradigm for studying brain function in pediatric and clinical populations.
Enhanced surveillance of hospitalized COVID-19 patients in Europe: an evaluation of the I-MOVE-COVID-19 surveillance network
Authors: Young Johanna J , Mutch Heather , Rose Angela M C , Evans Josie M M ,   the European COVID-19 Hospital Evaluation Writing Group, McMenamin Jim , Murray Josie , Machado Ausenda , Rodrigues Ana Paula , Kislaya Irina , Gefenaite Giedre , Kuliese Monika , Jancoriene Ligita , Kubiliute Ieva , Jonikaitė Indrė , Vaikutytė Roberta , Zablockiene Birute , Mickiene Aukse , Larrauri Amparo , Mazagatos Clara , Demuyser Thomas , Van Nedervelde Els , Seyler Lucie , Lazar Mihaela , Galtier Florence , Vanhems Philippe 
Published: October 2023

Abstract

Background
A pre-existing, well-established European influenza surveillance network known as I-MOVE enabled the rapid implementation of a European multi-country COVID-19 hospital surveillance network for surveillance of hospitalized COVID-19 cases in early 2020. This network included 257 hospitals in 11 surveillance sites across nine countries. We aimed to identify whether the surveillance objectives were relevant to public health actions, whether the surveillance system met its objectives, where and how shortcomings could be improved, and whether the system was sustainable.

Methods
We identified six key attributes (meeting objectives, usefulness, timeliness, data quality, simplicity and sustainability) to assess, using Centers for Disease Control and Prevention’s evaluation framework. We analyzed pooled datasets, held interviews and group discussions with 10 participating and coordinating sites and gathered feedback through web surveys.

Results
There was overall agreement that the surveillance objectives had been met and being involved in a network of European partners had additional important benefits for stakeholders. While the publication of the outputs was not always sufficiently timely, data submission processes were considered straightforward and the key surveillance variables (age, sex, hospital admission and mortality data) were complete. The main challenges were identified as the collection of the large number of variables, limited available human resources and information governance and data protection laws.

Conclusions
I-MOVE-COVID-19 delivered relevant and accurate data supporting the development and implementation of COVID-19 surveillance. Recommendations presented here identify learning opportunities to support preparedness and surveillance response for future pandemics. The applied evaluation framework in this study can be adapted for other European surveillance system evaluations.
The sociodemographic patterning of sick leave and determinants of longer sick leave after mild and severe COVID-19: a nationwide register-based study in Sweden
Authors: Spetz Malin , Natt och Dag Yvonne , Li Huiqi , Nwaru Chioma , Santosa Ailiana , Nyberg Fredrik , Rosvall Maria 
Published: October 2023

Abstract

Background
Studies on sociodemographic differences in sick leave after coronavirus disease 2019 (COVID-19) are limited and research on COVID-19 long-term health consequences has mainly addressed hospitalized individuals. The aim of this study was to investigate the social patterning of sick leave and determinants of longer sick leave after COVID-19 among mild and severe cases.

Methods
The study population, from the Swedish multi-register observational study SCIFI-PEARL, included individuals aged 18–64 years in the Swedish population, gainfully employed, with a first positive polymerase chain reaction (PCR) test for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from 1 January 2020 until 31 August 2021 (n = 661 780). Using logistic regression models, analyses were adjusted for sociodemographic factors, vaccination, prior sick leave, comorbidities and stratified by hospitalization.

Results
In total, 37 420 (5.7%) individuals were on sick leave due to COVID-19 in connection with their first positive COVID-19 test. Individuals on sick leave were more often women, older, had lower income and/or were born outside Sweden. These differences were similar across COVID-19 pandemic phases. The highest proportion of sick leave was seen in the oldest age group (10.3%) with an odds ratio of 4.32 (95% confidence interval 4.18–4.47) compared with the youngest individuals. Among individuals hospitalized due to COVID-19, the sociodemographic pattern was less pronounced, and in some models, even reversed. The intersectional analysis revealed considerable variability in sick leave between sociodemographic groups (range: 1.5–17.0%).

Conclusion
In the entire Swedish population of gainfully employed individuals, our findings demonstrated evident sociodemographic differences in sick leave due to COVID-19. In the hospitalized group, the social patterning was different and less pronounced.
Unfit to Bounce Back: On the Martial Politics of Resilience in WWI-Weimar Germany and Austerity Britain
Authors: Jung Laura 
Published: October 2023

AbstractResilience discourse, with its implicit assumption of a return to health and productivity following a crisis, is often mobilized to target disabled people. Yet while resilience scholarship has rapidly expanded and become prevalent in various fields over recent decades, it has largely failed to analyze the multiple connections between resilience, disability, and eugenics. This article argues that resilience discourse is a form of martial politics, wielded against disabled people to protect the health and prosperity of the political community. A martial politics of resilience works through three registers, responsibilizing disabled subjects by withdrawing state support, dehumanizing them as unproductive and a burden, and exposing these subjects to abandonment/death through medical and policy interventions. I use the lens of martial politics to think through relationships between resilience, disability, and security in Germany and Britain in the early twentieth and twenty-first centuries, respectively, focusing on psychiatric treatment of trauma in the former and the implementation of austerity policies in the latter. The article thus expands our understanding of relationships between resilience, subjectivity, and security by highlighting the ableist and lethal contours of resilient subjects, polities, and economies.
Phenotypic alteration by dengue virus serotype 2 delays neutrophil apoptosis and stimulates the release of prosurvival secretome with immunomodulatory functions
Authors: Rawat Surender , Kumar Shubham , Duggal Shweta , Banerjee Arup 
Published: October 2023

Abstract
Neutrophils are the most abundant granuloytes, are phenotypically heterogeneous, and exert detrimental or protective roles during antiviral response. Dengue virus has been reported to activate neutrophils. However, the effect of the dengue virus on the neutrophil phenotypes, survival, and release of inflammatory secretome is yet to be understood. Herein, we investigated the effect of dengue virus serotype 2 (DV-2) on effector functions of naïve neutrophils and studied the impact of its secretome on different immune cells. We found that DV-2 activates purified human neutrophils and causes a significant shift toward the CD16bright/CD62Ldim subtype in a multiplicity of infection and time-dependent manner. These phenotypically altered neutrophils show delayed apoptosis through nuclear factor κB and PI3K pathways and have decreased phagocytic capacity. Treatment of neutrophils with myeloperoxidase and PAD4 inhibitor before DV-2 incubation significantly reduced DV-2–induced double-stranded DNA release, suggesting that myeloperoxidase and PAD4 were involved at early stages for the neutrophil activation and double-stranded DNA release. We also report that DV-2–stimulated neutrophil secretome had a significant effect on viral infection, platelet activation, and naïve neutrophil survival via binding of tumor necrosis factor α to tumor necrosis factor receptor 1/2 receptors. Furthermore, incubation of endothelial cells with the DV-2–stimulated neutrophil secretome potentially inhibits proliferation and wound healing capacity and induces endothelial cell death, which can contribute to endothelial barrier dysfunction. In conclusion, the neutrophil–DV-2 interaction modulates the phenotype of neutrophils and the release of prosurvival and antiviral secretome that may act as a double-edged sword during dengue pathogenesis.
Cardioprotection of Eucommiae Folium: the extract and pharmaceutically active compounds attenuate hyperglycemia, mitochondrial dysfunction, calcium dyshomeostasis, insulin resistance, and oxidative stress in diabetic cardiomyopathy db/db mice
Authors: Zhang Shuai-nan , Liu Qi , Li Xu-zhao , Yang Wu-de , Zhou Ying 
Published: October 2023

Abstract

Objectives
A biolabel research based on multi-omics, informatics, molecular docking, and experimental verification was used to investigate the cardioprotective effect and pharmaceutically active compounds of Eucommiae Folium (EF).

Key findings
Based on the biolabel research pattern, metabonomics, proteomics, and bioinformatics indicated that EF has a therapeutic potential for a variety of heart diseases, especially cardiomyopathy, and the most critical mechanism involved is the diabetic cardiomyopathy pathway. Bioinformatics, cheminformatics, and molecular docking showed that 24 EF compounds may play a therapeutic role in diabetic cardiomyopathy via this pathway. Among which, four compounds (kaempferol, esculetin, (+)-catechin, and astragalin) showed appropriate pharmacokinetic parameters and formed stable binding with biolabels in the pathway. In diabetic cardiomyopathy db/db mice, histopathological analysis, mitochondrial swelling and membrane potential assay, ELISA, and biochemical analysis demonstrated that EF and four active compounds had obvious hypoglycemic effects and attenuated myocardial damage and related pathological processes, such as mitochondrial dysfunction, calcium dyshomeostasis, insulin resistance, and oxidative stress.

Conclusions
This study provides new evidence and insights into the effect, mechanism, and material basis of EF in treating diabetic cardiomyopathy.
SLKB: synthetic lethality knowledge base
Authors: Gökbağ Birkan , Tang Shan , Fan Kunjie , Cheng Lijun , Yu Lianbo , Zhao Yue , Li Lang 
Published: October 2023

Abstract
Emerging CRISPR–Cas9 technology permits synthetic lethality (SL) screening of large number of gene pairs from gene combination double knockout (CDKO) experiments. However, the poor integration and annotation of CDKO SL data in current SL databases limit their utility, and diverse methods of calculating SL scores prohibit their comparison. To overcome these shortcomings, we have developed SL knowledge base (SLKB) that incorporates data of 11 CDKO experiments in 22 cell lines, 16,059 SL gene pairs and 264,424 non-SL gene pairs. Additionally, within SLKB, we have implemented five SL calculation methods: median score with and without background control normalization (Median-B/NB), sgRNA-derived score (sgRNA-B/NB), Horlbeck score, GEMINI score and MAGeCK score. The five scores have demonstrated a mere 1.21% overlap among their top 10% SL gene pairs, reflecting high diversity. Users can browse SL networks and assess the impact of scoring methods using Venn diagrams. The SL network generated from all data in SLKB shows a greater likelihood of SL gene pair connectivity with other SL gene pairs than non-SL pairs. Comparison of SL networks between two cell lines demonstrated greater likelihood to share SL hub genes than SL gene pairs. SLKB website and pipeline can be freely accessed at https://slkb.osubmi.org and https://slkb.docs.osubmi.org/, respectively.
CDS-DB, an omnibus for patient-derived gene expression signatures induced by cancer treatment
Authors: Liu Zhongyang , Chen Ruzhen , Yang Lele , Jiang Jianzhou , Ma Shurui , Chen Lanhui , He Mengqi , Mao Yichao , Guo Congcong , Kong Xiangya , Zhang Xinlei , Qi Yaning , Liu Fengsong , He Fuchu , Li Dong 
Published: October 2023

AbstractPatient-derived gene expression signatures induced by cancer treatment, obtained from paired pre- and post-treatment clinical transcriptomes, can help reveal drug mechanisms of action (MOAs) in cancer patients and understand the molecular response mechanism of tumor sensitivity or resistance. Their integration and reuse may bring new insights. Paired pre- and post-treatment clinical transcriptomic data are rapidly accumulating. However, a lack of systematic collection makes data access, integration, and reuse challenging. We therefore present the Cancer Drug-induced gene expression Signature DataBase (CDS-DB). CDS-DB has collected 78 patient-derived, paired pre- and post-treatment transcriptomic source datasets with uniformly reprocessed expression profiles and manually curated metadata such as drug administration dosage, sampling time and location, and intrinsic drug response status. From these source datasets, 2012 patient-level gene perturbation signatures were obtained, covering 85 therapeutic regimens, 39 cancer subtypes and 3628 patient samples. Besides data browsing, download and search, CDS-DB also supports single signature analysis (including differential gene expression, functional enrichment, tumor microenvironment and correlation analyses), signature comparative analysis and signature connectivity analysis. This provides insights into drug MOA and its heterogeneity in patients, drug resistance mechanisms, drug repositioning and drug (combination) discovery, etc. CDS-DB is available at http://cdsdb.ncpsb.org.cn/.
Design and deep learning of synthetic B-cell-specific promoters
Authors: Fu Zong-Heng , He Si-Zhe , Wu Yi , Zhao Guang-Rong 
Published: October 2023

Abstract
Synthetic biology and deep learning synergistically revolutionize our ability for decoding and recoding DNA regulatory grammar. The B-cell-specific transcriptional regulation is intricate, and unlock the potential of B-cell-specific promoters as synthetic elements is important for B-cell engineering. Here, we designed and pooled synthesized 23 640 B-cell-specific promoters that exhibit larger sequence space, B-cell-specific expression, and enable diverse transcriptional patterns in B-cells. By MPRA (Massively parallel reporter assays), we deciphered the sequence features that regulate promoter transcriptional, including motifs and motif syntax (their combination and distance). Finally, we built and trained a deep learning model capable of predicting the transcriptional strength of the immunoglobulin V gene promoter directly from sequence. Prediction of thousands of promoter variants identified in the global human population shows that polymorphisms in promoters influence the transcription of immunoglobulin V genes, which may contribute to individual differences in adaptive humoral immune responses. Our work helps to decipher the transcription mechanism in immunoglobulin genes and offers thousands of non-similar promoters for B-cell engineering.
Switch to generic formulation of temozolomide results in statistically significant increase in grade 3 and 4 bone marrow toxicity in glioma patients in the province of Alberta
Authors: Omene Egiroh , Abdel-Rahman Omar , Batuyong Eugene , Patel Samir , Coppens Roland , Easaw Jacob , Young Kelvin 
Published: October 2023

Abstract

Background
Temozolomide (TMZ) is an oral, systemic chemotherapy used chiefly for treating high-grade glioma. Due to the rising costs of systemic chemotherapy, many jurisdictions have replaced brand name with generic formulations. The aim of this study was to determine whether or not there was difference in the incidence of grade 3 or 4 bone marrow toxicity and median overall survival in patients treated with brand name versus generic TMZ in the province of Alberta, Canada. The province suspended the use of generic TMZ based on preliminary data pointing to excess toxicity.

Methods
This multicenter, retrospective study included data from patients with newly diagnosed high-grade glioma that received treatment with TMZ in Alberta. Multivariate logistic regression analysis was performed to determine the association between grade 3 or 4 toxicity to generic versus brand name TMZ exposure, ECOG score, and age. Kaplan–Meier survival estimates and log-rank testing were used to determine differences in overall survival between the brand name and generic TMZ cohorts, as well as the cytopenic versus non-cytopenic patients. Furthermore, a screening analysis for grade 3 or 4 bone marrow toxicity was conducted on all de novo glioma patients treated with brand name TMZ after Alberta preemptively stopped generic TMZ.

Results
Grade 3 or 4 neutropenia and thrombocytopenia were observed in 15% and 19% of patients treated with generic TMZ (n = 156) as compared to 3% and 5% of patients (n = 100) treated with brand name TMZ-treated patients; P= .003 and .001. A trend toward increased median overall survival in glioblastoma patients treated with generic TMZ (13.7 months) versus brand name (15.8 months, P = .178.) was also observed through meeting statistical significance. Based on these results, the province stopped the use of generic TMZ and reverted to the Merck TMZ. An initial review of all new glioma patients (n = 89) treated with Merck TMZ since the province stopped the generic drug demonstrated 3.4% and 10.1% grade 3 or 4 neutropenia, respectively.

Conclusions
The statistically significant difference in toxicity profile has prompted the province of Alberta to replace generic TMZ with brand name TMZ in high-grade glioma patients pending more detailed analysis. Our study provides evidence supporting the importance of conducting prospective studies on long-term safety for generic chemotherapies.
Magnetic-field structure of the Crab pulsar wind nebula revealed with IXPE
Authors: Mizuno Tsunefumi , Ohno Hiroshi , Watanabe Eri , Bucciantini Niccolò , Gunji Shuichi , Shibata Sinpei , Slane Patrick , Weisskopf Martin C 
Published: October 2023

Abstract
We report a detailed study of the magnetic-field structure of the Crab pulsar wind nebula, using the X-ray polarization data in 2–8 keV obtained with the Imaging X-ray Polarimetry Explorer. Contamination of the data for the nebula region by the pulsar emission was removed through application of a stringent pulsation phase cut, extracting a phase range of 0.7–1.0 only. We found that the electric-field vector polarization angle (PA) was about 130○ from north to east with a polarization degree (PD) of about 25% at the pulsar position, indicating that the direction of the toroidal magnetic field is perpendicular to the pulsar spin axis in the region close to the termination shock. The PA gradually deviated from the angle as an increasing function of the distance from the pulsar. There was a region of low PD to the west of the X-ray torus. Although such a region is expected to be located at the torus edge, where geometrical depolarization due to a steep spatial variation of the PA is expected, the observed low-PD region positionally deviated from the edge. We found that the region of low PD positionally coincided with a dense filament seen in the optical band, and conjecture that the low-PD region may be produced through deflection of the pulsar wind. By comparing the values of the PD at the pulsar position between the data and a model, in which toroidal and turbulent magnetic fields were considered, we estimated the fractional energy of the turbulent magnetic field to be about 2$/$3 of the total. We also evaluated the potential polarization of the northern jet in the nebula and derived the PD and PA to be about 30% and 120○, respectively.