bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and Validation of a German Interpersonal Sensitivities	Circumplex (ISC-G)
Authors: Müller Sascha , Wendt Leon P. , Schicktanz Paula , Hopwood Christopher J. , Zimmermann Johannes 
Published: November 2022

Abstract: The Interpersonal Sensitivities Circumplex (ISC) assesses individual differences in sensitivities to aversive interpersonal behaviors. In this research (total N = 1,519), we developed and validated a German adaptation of the ISC (ISC-G) and extended the nomological net of interpersonal sensitivity as a construct. Using the structural summary method, we investigated associations with self- and informant reports of adaptive (interpersonal) personality traits as well as self-reported personality functioning, maladaptive personality traits, childhood trauma, and hypersensitivity. Replicating and extending previous findings with the ISC, the present research sheds light on the interplay between different personality traits and the perception of others’ interpersonal behavior. Results suggested that individuals report experiencing interpersonal behavior opposite to their own self-description in terms of agency and communion as aversive. This oppositional pattern was most pronounced for antagonistic vs. agreeable traits/behaviors. We discuss these results in the context of research on personality pathology.
Hough Mode Extensions (HMEs) and Solar Tide Behavior in the Dissipative Thermosphere
Authors: Forbes Jeffrey M. , Zhang Xiaoli 
Published: November 2022

AbstractThis paper quantifies and interprets how thermosphere dissipation in the form of molecular viscosity, molecular thermal conductivity and collisions with ions (“ion drag”) determines the height versus latitude structures of a variety of migrating and non‐migrating solar thermal tides, pole‐to‐pole up to 400 km altitude. This is done through computation of thermosphere Hough Mode Extensions (HMEs); that is, solutions to the linearized momentum, thermal energy, continuity, state and hydrostatic balance equations wherein the horizontal structure of troposphere forcing for each HME corresponds to the eigenfunction (Hough function) of Laplace's tidal equation for a particular tidal mode, and the background state and thermosphere dissipation are specified for nominal solar minimum, average and maximum activity conditions. The broad features revealed, different for each HME, include changes in vertical(horizontal) structure with latitude(height), degree of vertical penetration to the middle and upper thermosphere, changes in vertical wavelength (λz) with height due to the transition in background thermal gradient around the mesopause, and insights into role of ion drag in determining tidal amplitudes and their solar cycle variability. The HMEs are particularly useful for fitting measurements of tides, and for estimating tidal fields beyond those dependent variables actually fit and including those outside the fitting domain. The HMEs reported here were created as part of the Ionospheric CONnection (ICON) mission to serve as observation‐based lower boundary conditions for Thermosphere Ionosphere Mesosphere General Circulation Model‐ICON. Access to the full set of HMEs in tabular and graphical form is provided.
Patterns and Drivers of Dissolved Gas Concentrations and Fluxes Along a Low Gradient Stream
Authors: Carter Alice M. , DelVecchia Amanda G. , Bernhardt Emily S. 
Published: November 2022

AbstractFreshwater ecosystems are globally significant sources of greenhouse gases (GHGs) to the atmosphere. Previous work has indicated that GHG flux in headwater streams is dominated by terrestrially derived gases, with in situ production limited by short organic matter residence times and high dissolved oxygen concentrations due to turbulent reaeration. However, low‐gradient headwater streams that contain pool structures with longer residence times may be conducive to the in situ production of GHG. These streams, and the longitudinal heterogeneity therein, are seldom studied. We measured continuous ecosystem metabolism alongside concentrations and fluxes of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) in a low‐gradient third order stream in the North Carolina Piedmont. From autumn to the following spring, we characterized spatial and temporal patterns of GHG along an 8 km segment in the context of channel geomorphology, hydrology, and ecosystem metabolic rates using linear mixed effects models. We found that stream metabolism was responsible for most of the CO2 flux over this period, and that in‐channel aerobic metabolism was a primary predictor of both CH4 and N2O fluxes as well. Long water residence times, limited reaeration, and substantial organic matter from terrestrial inputs foster conditions conducive to the in‐stream accumulation of CO2 and CH4 from microbial respiration. Streams like this one are common in landscapes with low topographic relief, making it likely that the high contribution of instream metabolism to GHG fluxes that we observed is a widespread yet understudied behavior of many small streams.
Inhibition of USP1 reverses the chemotherapy resistance through destabilization of MAX in the relapsed/refractory B-cell lymphoma
Authors: Li Xi-Ya , Wu Ji-Chuan , Liu Ping , Li Zi-Juan , Wang Yong , Chen Bing-Yi , Hu Cheng-Long , Fei Ming-Yue , Yu Peng-Cheng , Jiang Yi-Lun , Xu Chun-Hui , Chang Bin-He , Chen Xin-Chi , Zong Li-Juan , Zhang Jia-Ying , Fang Ying , Sun Xiao-Jian , Xue Kai , Wang Li , Chen Shu-Bei , Jiang Shi-Yu , Gui Ai-ling , Yang Ling , Gu Juan J. , Yu Bao-Hua , Zhang Qun-ling , Wang Lan 
Published: November 2022

AbstractThe patients with relapsed and refractory diffuse large B-cell lymphoma (DLBCL) have poor prognosis, and a novel and effective therapeutic strategy for these patients is urgently needed. Although ubiquitin-specific protease 1 (USP1) plays a key role in cancer, the carcinogenic effect of USP1 in B-cell lymphoma remains elusive. Here we found that USP1 is highly expressed in DLBCL patients, and high expression of USP1 predicts poor prognosis. Knocking down USP1 or a specific inhibitor of USP1, pimozide, induced cell growth inhibition, cell cycle arrest and autophagy in DLBCL cells. Targeting USP1 by shRNA or pimozide significantly reduced tumor burden of a mouse model established with engraftment of rituximab/chemotherapy resistant DLBCL cells. Pimozide significantly retarded the growth of lymphoma in a DLBCL patient-derived xenograft (PDX) model. USP1 directly interacted with MAX, a MYC binding protein, and maintained the stability of MAX through deubiquitination, which promoted the transcription of MYC target genes. Moreover, pimozide showed a synergetic effect with etoposide, a chemotherapy drug, in cell and mouse models of rituximab/chemotherapy resistant DLBCL. Our study highlights the critical role of USP1 in the rituximab/chemotherapy resistance of DLBCL through deubiquitylating MAX, and provides a novel therapeutic strategy for rituximab/chemotherapy resistant DLBCL.
Beyond fundamental resonance mode: high-order multi-band ALN PMUT for in vivo photoacoustic imaging
Authors: Cai Junxiang , Wang Yiyun , Jiang Daohuai , Zhang Songsong , Gu Yuandong Alex , Lou Liang , Gao Fei , Wu Tao 
Published: November 2022

AbstractThis paper reports on an aluminum nitride (AlN) piezoelectric micromachined ultrasound transducer (PMUT) array for photoacoustic (PA) imaging, where the high-order resonance modes of the PMUT are utilized to improve imaging resolution. A flexural vibration mode (FVM) PMUT is fabricated and applied in a photoacoustic imaging (PAI) system. Specifically, the microelectromechanical system (MEMS)-based PMUT is suitable for PA endoscopic imaging of blood vessels and bronchi due to its miniature size and high sensitivity. More importantly, AlN is a nontoxic material, which makes it harmless for biomedical applications. In the PAI system, the AlN PMUT array is used to detect PA signals, and the acousto–mechanical response is designed and optimized at the PMUT’s fundamental resonance. In this work, we focus on the high-order resonance performance of the PMUT PAI beyond the fundamental resonance. The acoustic and electrical responses of the PMUT’s high-order resonance modes are characterized and analyzed. The fundamental and three high-order resonance bandwidths are 2.2, 8.8, 18.5, and 48.2 kHz. Compared with the resolution at the fundamental resonance mode, the resolutions at third- and fourth-order resonance modes increase by 38.7% and 76.9% in a phantom experiment. The high-order resonance modes of the AlN PMUT sensor array provide higher central frequency and wider bandwidth for PA signal detection, which increase the resolution of PAI compared to the PMUT working at the fundamental resonance mode.
The PIP4K2 inhibitor THZ-P1-2 exhibits antileukemia activity by disruption of mitochondrial homeostasis and autophagy
Authors: Lima Keli , Pereira-Martins Diego Antonio , de Miranda Lívia Bassani Lins , Coelho-Silva Juan Luiz , Leandro Giovana da Silva , Weinhäuser Isabel , Cavaglieri Rita de Cássia , Leal Aline de Medeiros , da Silva Wellington Fernandes , Lange Ana Paula Alencar de Lima , Velloso Elvira Deolinda Rodrigues Pereira , Griessinger Emmanuel , Hilberink Jacobien R. , Ammatuna Emanuele , Huls Gerwin , Schuringa Jan Jacob , Rego Eduardo Magalhães , Machado-Neto João Agostinho 
Published: November 2022

AbstractThe treatment of acute leukemia is challenging because of the genetic heterogeneity between and within patients. Leukemic stem cells (LSCs) are relatively drug-resistant and frequently relapse. Their plasticity and capacity to adapt to extracellular stress, in which mitochondrial metabolism and autophagy play important roles, further complicates treatment. Genetic models of phosphatidylinositol-5-phosphate 4-kinase type 2 protein (PIP4K2s) inhibition have demonstrated the relevance of these enzymes in mitochondrial homeostasis and autophagic flux. Here, we uncovered the cellular and molecular effects of THZ-P1-2, a pan-inhibitor of PIP4K2s, in acute leukemia cells. THZ-P1-2 reduced cell viability and induced DNA damage, apoptosis, loss of mitochondrial membrane potential, and the accumulation of acidic vesicular organelles. Protein expression analysis revealed that THZ-P1-2 impaired autophagic flux. In addition, THZ-P1-2 induced cell differentiation and showed synergistic effects with venetoclax. In primary leukemia cells, LC-MS/MS-based proteome analysis revealed that sensitivity to THZ-P1-2 is associated with mitochondrial metabolism, cell cycle, cell-of-origin (hematopoietic stem cell and myeloid progenitor), and the TP53 pathway. The minimal effects of THZ-P1-2 observed in healthy CD34+cells suggest a favorable therapeutic window. Our study provides insights into the pharmacological inhibition of PIP4K2s targeting mitochondrial homeostasis and autophagy, shedding light on a new class of drugs for acute leukemia.
Immune-mediated competition benefits protective microbes over pathogens in a novel host species
Authors: Ford Suzanne A. , Drew Georgia C. , King Kayla C. 
Published: November 2022

AbstractMicrobes that protect against infection inhabit hosts across the tree of life. It is unclear whether and how the host immune system may affect the formation of new protective symbioses. We investigated the transcriptomic response ofCaenorhabditis elegansfollowing novel interactions with a protective microbe (Enterococcus faecalis) able to defend against infection by pathogenicStaphylococcus aureus. We have previously shown thatE. faecaliscan directly limit pathogen growth within hosts. In this study, we show that colonisation by protectiveE. faecaliscaused the differential expression of 1,557 genes in pathogen infected hosts, including the upregulation of immune genes such as lysozymes and C-type lectins. The most significantly upregulated host lysozyme gene,lys-7,impacted the competitive abilities ofE. faecalisandS. aureuswhen knocked out.E. faecalishas an increased ability to resist lysozyme activity compared toS. aureus, suggesting that the protective microbe could gain a competitive advantage from this host response. Our finding that protective microbes can benefit from immune-mediated competition after introduction opens up new possibilities for biocontrol design and our understanding of symbiosis evolution. Crosstalk between the host immune response and microbe-mediated protection should favour the continued investment in host immunity and avoid the potentially risky evolution of host dependence.
Severe Neuro-COVID is associated with peripheral immune signatures, autoimmunity and neurodegeneration: a prospective cross-sectional study
Authors: Etter Manina M. , Martins Tomás A. , Kulsvehagen Laila , Pössnecker Elisabeth , Duchemin Wandrille , Hogan Sabrina , Sanabria-Diaz Gretel , Müller Jannis , Chiappini Alessio , Rychen Jonathan , Eberhard Noëmi , Guzman Raphael , Mariani Luigi , Melie-Garcia Lester , Keller Emanuela , Jelcic Ilijas , Pargger Hans , Siegemund Martin , Kuhle Jens , Oechtering Johanna , Eich Caroline , Tzankov Alexandar , Matter Matthias S. , Uzun Sarp , Yaldizli Özgür , Lieb Johanna M. , Psychogios Marios-Nikos , Leuzinger Karoline , Hirsch Hans H. , Granziera Cristina , Pröbstel Anne-Katrin , Hutter Gregor 
Published: November 2022

AbstractGrowing evidence links COVID-19 with acute and long-term neurological dysfunction. However, the pathophysiological mechanisms resulting in central nervous system involvement remain unclear, posing both diagnostic and therapeutic challenges. Here we show outcomes of a cross-sectional clinical study (NCT04472013) including clinical and imaging data and corresponding multidimensional characterization of immune mediators in the cerebrospinal fluid (CSF) and plasma of patients belonging to different Neuro-COVID severity classes. The most prominent signs of severe Neuro-COVID are blood-brain barrier (BBB) impairment, elevated microglia activation markers and a polyclonal B cell response targeting self-antigens and non-self-antigens. COVID-19 patients show decreased regional brain volumes associating with specific CSF parameters, however, COVID-19 patients characterized by plasma cytokine storm are presenting with a non-inflammatory CSF profile. Post-acute COVID-19 syndrome strongly associates with a distinctive set of CSF and plasma mediators. Collectively, we identify several potentially actionable targets to prevent or intervene with the neurological consequences of SARS-CoV-2 infection.
Photothermal modulated dielectric elastomer actuator for resilient soft robots
Authors: Tan Matthew Wei Ming , Bark Hyunwoo , Thangavel Gurunathan , Gong Xuefei , Lee Pooi See 
Published: November 2022

AbstractSoft robots need to be resilient to extend their operation under unpredictable environments. While utilizing elastomers that are tough and healable is promising to achieve this, mechanical enhancements often lead to higher stiffness that deteriorates actuation strains. This work introduces liquid metal nanoparticles into carboxyl polyurethane elastomer to sensitize a dielectric elastomer actuator (DEA) with responsiveness to electric fields and NIR light. The nanocomposite can be healed under NIR illumination to retain high toughness (55 MJ m−3) and can be recycled at lower temperatures and shorter durations due to nanoparticle-elastomer interactions that minimize energy barriers. During co-stimulation, photothermal effects modulate the elastomer moduli to lower driving electric fields of DEAs. Bilayer configurations display synergistic actuation under co-stimulation to improve energy densities, and enable a DEA crawler to achieve longer strides. This work paves the way for a generation of soft robots that achieves both resilience and high actuation performance.
Neighborhood Emission Mapping Operation (NEMO): A 1-km anthropogenic emission dataset in the United States
Authors: Ma Siqi , Tong Daniel Q. 
Published: November 2022

AbstractWe present an unprecedented effort to map anthropogenic emissions of air pollutants at 1 km spatial resolution in the contiguous United States (CONUS). This new dataset, Neighborhood Emission Mapping Operation (NEMO), is produced at hourly intervals based on the United States Environmental Protection Agency (US EPA) National Emission Inventories 2017. Fine-scale spatial allocation was achieved through distributing the emission sources using 108 spatial surrogates, factors representing the portion of a source in each 1 km grid. Gaseous and particulate pollutants are speciated into model species for the Carbon Bond 6 chemical mechanism. All sources are grouped in 9 sectors and stored in NetCDF format for air quality models, and in shapefile format for GIS users and air quality managers. This dataset shows good consistency with the USEPA benchmark dataset, with a monthly difference in emissions less than 0.03% for any sector. NEMO provides the first 1 km mapping of air pollution over the CONUS, enabling new applications such as fine-scale air quality modeling, air pollution exposure assessment, and environmental justice studies.
Maternal plasma proteome profiling of biomarkers and pathogenic mechanisms of early-onset and late-onset preeclampsia
Authors: Chen Hao , Aneman Ingrid , Nikolic Valentina , Karadzov Orlic Natasa , Mikovic Zeljko , Stefanovic Milan , Cakic Zoran , Jovanovic Hristina , Town Stephanie E. L. , Padula Matthew P. , McClements Lana 
Published: November 2022

AbstractPreeclampsia is still the leading cause of morbidity and mortality in pregnancy without a cure. There are two phenotypes of preeclampsia, early-onset (EOPE) and late-onset (LOPE) with poorly defined pathogenic differences. This study aimed to facilitate better understanding of the mechanisms of pathophysiology of EOPE and LOPE, and identify specific biomarkers or therapeutic targets. In this study, we conducted an untargeted, label-free quantitative proteomic analyses of plasma samples from pregnant women with EOPE (n = 17) and LOPE (n = 11), and age, BMI-matched normotensive controls (n = 18). Targeted proteomics approach was also employed to validate a subset of proteins (n = 17). In total, there were 26 and 20 differentially abundant proteins between EOPE or LOPE, and normotensive controls, respectively. A series of angiogenic and inflammatory proteins, including insulin-like growth factor-binding protein 4 (IGFBP4; EOPE: FDR = 0.0030 and LOPE: FDR = 0.00396) and inter-alpha-trypsin inhibitor heavy chain H2-4 (ITIH2-4), were significantly altered in abundance in both phenotypes. Through validation we confirmed that ITIH2 was perturbed only in LOPE (p = 0.005) whereas ITIH3 and ITIH4 were perturbed in both phenotypes (p < 0.05). Overall, lipid metabolism/transport proteins associated with atherosclerosis were highly abundant in LOPE, however, ECM proteins had a more pronounced role in EOPE. The complement cascade and binding and uptake of ligands by scavenger receptors, pathways, were associated with both EOPE and LOPE.
Pilot study in human healthy volunteers on the use of magnetohydrodynamics in needle-free continuous glucose monitoring
Authors: Hakala Tuuli A. , Zschaechner Laura K. , Vänskä Risto T. , Nurminen Teemu A. , Wardale Melissa , Morina Jonathan , Boeva Zhanna A. , Saukkonen Reeta , Alakoskela Juha-Matti , Pettersson-Fernholm Kim , Hæggström Edward , Bobacka Johan , García Pérez Alejandro 
Published: November 2022

AbstractThe benefits of continuous glucose monitoring (CGM) in diabetes management are extensively documented. Yet, the broader adoption of CGM systems is limited by their cost and invasiveness. Current CGM devices, requiring implantation or the use of hypodermic needles, fail to offer a convenient solution. We have demonstrated that magnetohydrodynamics (MHD) is effective at extracting dermal interstitial fluid (ISF) containing glucose, without the use of needles. Here we present the first study of ISF sampling with MHD for glucose monitoring in humans. We conducted 10 glucose tolerance tests on 5 healthy volunteers and obtained a significant correlation between the concentration of glucose in ISF samples extracted with MHD and capillary blood glucose samples. Upon calibration and time lag removal, the data indicate a Mean Absolute Relative Difference (MARD) of 12.9% and Precision Absolute Relative Difference of 13.1%. In view of these results, we discuss the potential value and limitations of MHD in needle-free glucose monitoring.
A molecular signature of lung-resident CD8+ T cells elicited by subunit vaccination
Authors: Suryadevara Naveenchandra , Kumar Amrendra , Ye Xiang , Rogers Meredith , Williams John V. , Wilson John T. , Karijolich John , Joyce Sebastian 
Published: November 2022

AbstractNatural infection as well as vaccination with live or attenuated viruses elicit tissue resident, CD8+ memory T cell (Trm) response. Trm cells so elicited act quickly upon reencounter with the priming agent to protect the host. These Trm cells express a unique molecular signature driven by the master regulators—Runx3 and Hobit. We previously reported that intranasal instillation of a subunit vaccine in a prime boost vaccination regimen installed quick-acting, CD8+ Trm cells in the lungs that protected against lethal vaccinia virus challenge. It remains unexplored whether CD8+ Trm responses so elicited are driven by a similar molecular signature as those elicited by microbes in a real infection or by live, attenuated pathogens in conventional vaccination. We found that distinct molecular signatures distinguished subunit vaccine-elicited lung interstitial CD8+ Trm cells from subunit vaccine-elicited CD8+ effector memory and splenic memory T cells. Nonetheless, the transcriptome signature of subunit vaccine elicited CD8+ Trm resembled those elicited by virus infection or vaccination. Clues to the basis of tissue residence and function of vaccine specific CD8+ Trm cells were found in transcripts that code for chemokines and chemokine receptors, purinergic receptors, and adhesins when compared to CD8+ effector and splenic memory T cells. Our findings inform the utility of protein-based subunit vaccination for installing CD8+ Trm cells in the lungs to protect against respiratory infectious diseases that plague humankind.
Machine learning-based detection of label-free cancer stem-like cell fate
Authors: Chambost Alexis J. , Berabez Nabila , Cochet-Escartin Olivier , Ducray François , Gabut Mathieu , Isaac Caroline , Martel Sylvie , Idbaih Ahmed , Rousseau David , Meyronet David , Monnier Sylvain 
Published: November 2022

AbstractThe detection of cancer stem-like cells (CSCs) is mainly based on molecular markers or functional tests giving a posteriori results. Therefore label-free and real-time detection of single CSCs remains a difficult challenge. The recent development of microfluidics has made it possible to perform high-throughput single cell imaging under controlled conditions and geometries. Such a throughput requires adapted image analysis pipelines while providing the necessary amount of data for the development of machine-learning algorithms. In this paper, we provide a data-driven study to assess the complexity of brightfield time-lapses to monitor the fate of isolated cancer stem-like cells in non-adherent conditions. We combined for the first time individual cell fate and cell state temporality analysis in a unique algorithm. We show that with our experimental system and on two different primary cell lines our optimized deep learning based algorithm outperforms classical computer vision and shallow learning-based algorithms in terms of accuracy while being faster than cutting-edge convolutional neural network (CNNs). With this study, we show that tailoring our deep learning-based algorithm to the image analysis problem yields better results than pre-trained models. As a result, such a rapid and accurate CNN is compatible with the rise of high-throughput data generation and opens the door to on-the-fly CSC fate analysis.