bluuebunny/crossref_metadata_2025_split huggingface dataset:
Antigen-induced chimeric antigen receptor multimerization amplifies on-tumor cytotoxicity
Authors: Sun Yan , Yang Xiu-Na , Yang Shuang-Shuang , Lyu Yi-Zhu , Zhang Bing , Liu Kai-Wen , Li Na , Cui Jia-Chen , Huang Guang-Xiang , Liu Cheng-Lin , Xu Jie , Mi Jian-Qing , Chen Zhu , Fan Xiao-Hu , Chen Sai-Juan , Chen Shuo 
Published: December 2023

AbstractLigand-induced receptor dimerization or oligomerization is a widespread mechanism for ensuring communication specificity, safeguarding receptor activation, and facilitating amplification of signal transduction across the cellular membrane. However, cell-surface antigen-induced multimerization (dubbed AIM herein) has not yet been consciously leveraged in chimeric antigen receptor (CAR) engineering for enriching T cell-based therapies. We co-developed ciltacabtagene autoleucel (cilta-cel), whose CAR incorporates two B-cell maturation antigen (BCMA)-targeted nanobodies in tandem, for treating multiple myeloma. Here we elucidated a structural and functional model in which BCMA-induced cilta-cel CAR multimerization amplifies myeloma-targeted T cell-mediated cytotoxicity. Crystallographic analysis of BCMA–nanobody complexes revealed atomic details of antigen–antibody hetero-multimerization whilst analytical ultracentrifugation and small-angle X-ray scattering characterized interdependent BCMA apposition and CAR juxtaposition in solution. BCMA-induced nanobody CAR multimerization enhanced cytotoxicity, alongside elevated immune synapse formation and cytotoxicity-mediating cytokine release, towards myeloma-derived cells. Our results provide a framework for contemplating the AIM approach in designing next-generation CARs.
Gut microbiota composition in depressive disorder: a systematic review, meta-analysis, and meta-regression
Authors: Gao Mingxue , Wang Jizhi , Liu Penghong , Tu Hongwei , Zhang Ruiyu , Zhang Yanyan , Sun Ning , Zhang Kerang 
Published: December 2023

AbstractStudies investigating gut microbiota composition in depressive disorder have yielded mixed results. The aim of our study was to compare gut microbiome between people with depressive disorder and healthy controls. We did a meta-analysis and meta-regression of studies by searching PubMed, Web of Science, Embase, Scopus, Ovid, Cochrane Library, ProQuest, and PsycINFO for articles published from database inception to March 07, 2022. Search strategies were then re-run on 12 March 2023 for an update. We undertook meta-analyses whenever values of alpha diversity and Firmicutes, Bacteroidetes (relative abundance) were available in two or more studies. A random-effects model with restricted maximum-likelihood estimator was used to synthesize the effect size (assessed by standardized mean difference [SMD]) across studies. We identified 44 studies representing 2091 patients and 2792 controls. Our study found that there were no significant differences in patients with depressive disorder on alpha diversity indices, Firmicutes and Bacteroidetes compared with healthy controls. In subgroup analyses with regional variations(east/west) as a predictor, patients who were in the West had a lower Chao1 level (SMD −0.42[−0.74 to −0.10]). Subgroup meta-analysis showed Firmicutes level was decreased in patients with depressive disorder who were medication-free (SMD −1.54[−2.36 to −0.72]), but Bacteroidetes level was increased (SMD −0.90[0.07 to 1.72]). In the meta-regression analysis, six variables cannot explain the 100% heterogeneity of the studies assessing by Chao1, Shannon index, Firmicutes, and Bacteroidetes. Depleted levels of Butyricicoccus, Coprococcus, Faecalibacterium, Fusicatenibacter, Romboutsia, and enriched levels of Eggerthella, Enterococcus, Flavonifractor, Holdemania, Streptococcus were consistently shared in depressive disorder. This systematic review and meta-analysis found that psychotropic medication and dietary habit may influence microbiota. There is reliable evidence for differences in the phylogenetic relationship in depressive disorder compared with controls, however, method of measurement and method of patient classification (symptom vs diagnosis based) may affect findings. Depressive disorder is characterized by an increase of pro-inflammatory bacteria, while anti-inflammatory butyrate-producing genera are depleted.
Mechanical and chemical surface treatment enhances bond strength between zirconia and orthodontic brackets: an in vitro study
Authors: Limpuangthip Nareudee , Surintanasarn Atikom , Vitavaspan Ploylada 
Published: December 2023

Abstract
Objectives
To assess the shear bond strength (SBS) between metal orthodontic brackets and zirconia after receiving different mechanical and chemical surface treatments, and different types of resin adhesive. The failure mode of each treatment protocol was also evaluated.

Materials and methods
The present in vitro experimental study consisted of six surface treatment protocols with two different resin adhesives. One-hundred and forty-four rectangular-shaped 3 mol% yttrium-stabilized tetragonal zirconia polycrystal blocks were milled, sintered, and embedded in acrylic resin. They were randomly divided into three mechanical (none, air abrasion, and bur grinding) and two chemical surface treatment conditions (no primer and Z-primer). The specimens were divided into two groups according to the resin adhesive received: self-cured (RelyX U200) and light-cured adhesives (Transbond XT). The SBS between the metal bracket and zirconia was tested using a universal testing machine (1-mm/min crosshead speed), and the failure mode was evaluated. Differences in SBS and failure mode were analyzed using Welch ANOVA followed by post-hoc comparison and Fisher’s Exact test, respectively.

Results
Bur grinding produced the highest SBS, followed by air abrasion. Z-primer application typically provided a higher SBS regardless of resin adhesive used (p < 0.001). Without primer application, RelyX U200 provided a higher SBS than Transbond XT (p < 0.001). After grinding, using Z-primer and RelyX U200 resulted in a higher SBS than no primer and using Transbond XT (p < 0.001). Adhesive failure at the zirconia–adhesive interface occurred only when Transbond XT was applied without bur grinding, and when using Transbond XT after grinding, but no Z-primer application.

Conclusion
Bur grinding combined with applying an MDP-containing primer and resin adhesive enhances the SBS between zirconia and metal orthodontic brackets.
A delay in vesicle endocytosis by a C-terminal fragment of N-cadherin enhances Aβ synaptotoxicity
Authors: Teng Zenghui , Kartalou Georgia-Ioanna , Dagar Sushma , Fraering Patrick C. , Lessmann Volkmar , Gottmann Kurt 
Published: December 2023

AbstractSynaptotoxic Aβ oligomers are thought to play a major role in the early pathology of Alzheimer´s disease (AD). However, the molecular mechanisms involved in Aβ-induced synaptic dysfunction and synapse damage remain largely unclear. Previously, Aβ synaptotoxicity has been reported to be enhanced by increased levels of a C-terminal fragment of the synaptic adhesion molecule N-cadherin that is generated by proteolytic shedding of the extracellular domains [1]. To address the molecular mechanisms involved in this process, we have now studied the functional synaptic changes induced by C-terminal fragments (CTF1) of synaptic adhesion proteins. We used synaptophysin-pHluorin (SypHy) fluorescence imaging to monitor synaptic vesicle exo- and endocytosis in cultures of mouse cortical neurons. We increased the levels of C-terminal fragments of synaptic adhesion proteins by pharmacologically inhibiting γ-secretase, which further degrades CTF1 fragments. We found that this intervention caused a delay in synaptic vesicle endocytosis. A similar effect was induced by overexpression of N-cadherin CTF1, but not by overexpression of Neurexin3β CTF1. Based on these observations, we further studied whether directly modulating synaptic vesicle endocytosis enhances Aβ synaptotoxicity. We pharmacologically induced a delayed synaptic vesicle endocytosis by a low concentration of the endocytosis inhibitor dynasore. This treatment enhanced synaptoxicity of Aβ oligomers as indicated by a reduced frequency of miniature postsynaptic currents. In conclusion, we propose that delayed endocytosis results in prolonged exposure of synaptic vesicle membranes to the extracellular space, thus enabling enhanced vesicle membrane binding of Aβ oligomers. This might in turn promote the endocytic uptake of toxic Aβ oligomers and might thus play an important role in intracellular Aβ-mediated synaptotoxicity in AD.
Glowing gels and pipettes aplenty: how do commercial stock image banks portray genetic tests?
Authors: Horton Rachel , Boyle Leah , Weller Susie , Lucassen Anneke 
Published: December 2023

AbstractNews stories and patient-facing material about genetic tests are often illustrated by images, but the content of such images and the messages they propagate are rarely scrutinised. Stock image banks were searched to identify a hundred images relating to genetic tests and analysed using a multimodal critical discourse approach, aiming to identify what the images featured, how they were composed, and what they communicated about genetic testing. We found that images tended to focus on technical aspects of sample processing (for example, pipetting) and drew on older technologies (for example slab gel electrophoresis) when representing data arising from genetic tests. Composition choices like focussing images around pipette tips, or emphasising colour or brightness of electrophoretic bands, represented genetic testing as precise, unambiguous and illuminating. Only 7% of images featured a person having a genetic test, and only one image alluded to communication of genetic results. Current popular visual representations of genetic testing rarely highlight the possibility of uncertain or non-diagnostic outcomes, and may contribute to high public expectations of informativeness and certainty from such tests.
Light-induced LLPS of the CRY2/SPA1/FIO1 complex regulating mRNA methylation and chlorophyll homeostasis in Arabidopsis
Authors: Jiang Bochen , Zhong Zhenhui , Gu Lianfeng , Zhang Xueyang , Wei Jiangbo , Ye Chang , Lin Guifang , Qu Gaoping , Xiang Xian , Wen Chenjin , Hummel Maureen , Bailey-Serres Julia , Wang Qin , He Chuan , Wang Xu , Lin Chentao 
Published: December 2023

AbstractLight regulates chlorophyll homeostasis and photosynthesis via various molecular mechanisms in plants. The light regulation of transcription and protein stability of nuclear-encoded chloroplast proteins have been extensively studied, but how light regulation of mRNA metabolism affects abundance of nuclear-encoded chloroplast proteins and chlorophyll homeostasis remains poorly understood. Here we show that the blue light receptor cryptochrome 2 (CRY2) and the METTL16-type m6A writer FIONA1 (FIO1) regulate chlorophyll homeostasis in response to blue light. In contrast to the CRY2-mediated photo-condensation of the mRNA adenosine methylase (MTA), photoexcited CRY2 co-condenses FIO1 only in the presence of the CRY2-signalling protein SUPPRESSOR of PHYTOCHROME A (SPA1). CRY2 and SPA1 synergistically or additively activate the RNA methyltransferase activity of FIO1 in vitro, whereas CRY2 and FIO1, but not MTA, are required for the light-induced methylation and translation of the mRNAs encoding multiple chlorophyll homeostasis regulators in vivo. Our study demonstrates that the light-induced liquid–liquid phase separation of the photoreceptor/writer complexes is commonly involved in the regulation of photoresponsive changes of mRNA methylation, whereas the different photo-condensation mechanisms of the CRY/FIO1 and CRY/MTA complexes explain, at least partially, the writer-specific functions in plant photomorphogenesis.
Atomistic fracture in bcc iron revealed by active learning of Gaussian approximation potential
Authors: Zhang Lei , Csányi Gábor , van der Giessen Erik , Maresca Francesco 
Published: December 2023

AbstractThe prediction of atomistic fracture mechanisms in body-centred cubic (bcc) iron is essential for understanding its semi-brittle nature. Existing atomistic simulations of the crack-tip under mode-I loading based on empirical interatomic potentials yield contradicting predictions and artificial mechanisms. To enable fracture prediction with quantum accuracy, we develop a Gaussian approximation potential (GAP) using an active learning strategy by extending a density functional theory (DFT) database of ferromagnetic bcc iron. We apply the active learning algorithm and obtain a Fe GAP model with a converged model uncertainty over a broad range of stress intensity factors (SIFs) and for four crack systems. The learning efficiency of the approach is analysed, and the predicted critical SIFs are compared with Griffith and Rice theories. The simulations reveal that cleavage along the original crack plane is the atomistic fracture mechanism for {100} and {110} crack planes at T = 0 K, thus settling a long-standing issue. Our work also highlights the need for a multiscale approach to predicting fracture and intrinsic ductility, whereby finite temperature, finite loading rate effects and pre-existing defects (e.g., nanovoids, dislocations) should be taken explicitly into account.
Arithmetic skills are associated with left fronto-temporal gray matter volume in 536 children and adolescents
Authors: Viesel-Nordmeyer Nurit , Prado Jérôme 
Published: December 2023

AbstractThere are large individual differences in arithmetic skills. Although a number of brain-wide association studies have attempted to identify the neural correlates of these individual differences, studies have focused on relatively small sample sizes and have yielded inconsistent results. In the current voxel-based morphometry study, we merged six structural imaging datasets of children and adolescents (from 7.5 to 15 years) whose levels of arithmetic skills were assessed, leading to a combined sample ofn = 536. Controlling for individual differences in age, gender, as well as language, and intelligence, we found a unique positive relation between arithmetic skill and gray matter volume in the left inferior frontal gyrus (IFG) and middle temporal gyrus (MTG). Our results suggest that individual differences in arithmetic skills are associated with structural differences in left fronto-temporal areas, rather than in regions of the parietal cortex and hippocampus that are often associated with arithmetic processing.
Canadian Covid-19 pandemic public health mitigation measures at the province level
Authors: Akanteva Anna , Dick David W. , Amiraslani Shirin , Heffernan Jane M. 
Published: December 2023

AbstractThe Covid-19 pandemic has prompted governments across the world to enforce a range of public health interventions. We introduce the Covid-19 Policy Response Canadian tracker (CPRCT) database that tracks and records implemented public health measures in every province and territory in Canada. The implementations are recorded on a four-level ordinal scale (0–3) for three domains, (Schools, Work, and Other), capturing differences in degree of response. The data-set allows the exploration of the effects of public health mitigation on the spread of Covid-19, as well as provides a near-real-time record in an accessible format that is useful for a diverse range of modeling and research questions.
A database of hourly wind speed and modeled generation for US wind plants based on three meteorological models
Authors: Millstein Dev , Jeong Seongeun , Ancell Amos , Wiser Ryan 
Published: December 2023

AbstractIn 2022, wind generation accounted for ~10% of total electricity generation in the United States. As wind energy accounts for a greater portion of total energy, understanding geographic and temporal variation in wind generation is key to many planning, operational, and research questions. However, in-situ observations of wind speed are expensive to make and rarely shared publicly. Meteorological models are commonly used to estimate wind speeds, but vary in quality and are often challenging to access and interpret. The Plant-Level US multi-model WIND and generation (PLUSWIND) data repository helps to address these challenges. PLUSWIND provides wind speeds and estimated generation on an hourly basis at almost all wind plants across the contiguous United States from 2018–2021. The repository contains wind speeds and generation based on three different meteorological models: ERA5, MERRA2, and HRRR. Data are publicly accessible in simple csv files. Modeled generation is compared to regional and plant records, which highlights model biases and errors and how they differ by model, across regions, and across time frames.
A news-based climate policy uncertainty index for China
Authors: Ma Yan-Ran , Liu Zhenhua , Ma Dandan , Zhai Pengxiang , Guo Kun , Zhang Dayong , Ji Qiang 
Published: December 2023

AbstractClimate policies can have a significant impact on the economy. However, these policies have often been associated with uncertainty. Quantitative assessment of the socioeconomic impact of climate policy uncertainty is equally or perhaps more important than looking at the policies themselves. Using a deep learning algorithm—the MacBERT model—this study constructed indices of Chinese climate policy uncertainty (CCPU) at the national, provincial and city levels for the first time. The CCPU indices are based on the text mining of news published by a set of major newspapers in China. A clear upward trend was found in the indices, demonstrating increasing policy uncertainties in China in addressing climate change. There is also evidence of clear regional heterogeneity in subnational indices. The CCPU dataset can provide a useful source of information for government actors, academics and investors in understanding the dynamics of climate policies in China. These indices can also be used to investigate the empirical relationship between climate policy uncertainty and other socioeconomic factors in China.
Combined effects of smoking and HIV infection on the occurrence of aging-related manifestations
Authors: Boyer Laurent , Zebachi Sonia , Gallien Sébastien , Margarit Laurent , Ribeiro Baptista Bruno , Lopez-Zaragoza José-Luis , D’Humières Thomas , Zerah Françoise , Hue Sophie , Derumeaux Geneviève , Adnot Serge , Audureau Etienne , Lelièvre Jean-Daniel 
Published: December 2023

AbstractBoth HIV-1 infection and smoking may contribute to the development of ageing-related manifestations affecting the prognosis of people living with HIV, but it is unclear whether HIV and smoking exert their effects independently or interact by potentiating each other. We conducted a cross-sectional study in 192 people living with HIV aged- and gender-matched with 192 HIV-uninfected controls, assessing the relative effect of HIV-1/smoking status on lung function (FEV1), bone mineral density (BMD), appendicular skeletal muscle mass index (ASMI), aortic pulse-wave velocity (PWV), insulin resistance (HOMA-IR) and renal function. In both unadjusted and adjusted analyses, FEV1, BMD and ASMI significantly differed according to smoking/HIV status, with the worst parameters found in HIV-1 infected patients currently smoking, and BMD and ASMI decreased to a lesser extent in HIV-1 infected patients formerly smoking (> 10 pack-years). Values in people living with HIV with < 10 pack-years exposure were of similar magnitude to those from controls. Regarding PWV, HOMA-R and eGFR, no significant differences were found, with the exception of eGFR values which were globally lower in HIV-1 infected patients. In conclusion HIV infection and smoking acted synergistically and were associated with a wasting phenotype combining muscle mass and bone mineral reduction.Clinical Trial Registration (registrar, website, and registration number), where applicable: CPP 10-023, 09-027, 10-034.
High-throughput ligand profile characterization in novel cell lines expressing seven heterologous insect olfactory receptors for the detection of volatile plant biomarkers
Authors: Zboray Katalin , Toth Adam V. , Miskolczi Tímea D. , Pesti Krisztina , Casanova Emilio , Kreidl Emanuel , Mike Arpad , Szenes Áron , Sági László , Lukacs Peter 
Published: December 2023

AbstractAgriculturally important crop plants emit a multitude of volatile organic compounds (VOCs), which are excellent indicators of their health status and their interactions with pathogens and pests. In this study, we have developed a novel cellular olfactory panel for detecting fungal pathogen-related VOCs we had identified in the field, as well as during controlled inoculations of several crop plants. The olfactory panel consists of seven stable HEK293 cell lines each expressing a functional Drosophila olfactory receptor as a biosensing element along with GCaMP6, a fluorescent calcium indicator protein. An automated 384-well microplate reader was used to characterize the olfactory receptor cell lines for their sensitivity to reference VOCs. Subsequently, we profiled a set of 66 VOCs on all cell lines, covering a concentration range from 1 to 100 μM. Results showed that 49 VOCs (74.2%) elicited a response in at least one olfactory receptor cell line. Some VOCs activated the cell lines even at nanomolar (ppb) concentrations. The interaction profiles obtained here will support the development of biosensors for agricultural applications. Additionally, the olfactory receptor proteins can be purified from these cell lines with sufficient yields for further processing, such as structure determination or integration with sensor devices.
Association between electroencephalogram-based sleep characteristics and physical health in the general adult population
Authors: Iwagami Masao , Seol Jaehoon , Hiei Tetsuro , Tani Akihiro , Chiba Shigeru , Kanbayashi Takashi , Kondo Hideaki , Tanaka Takashi , Yanagisawa Masashi 
Published: December 2023

AbstractWe examined the associations between electroencephalogram (EEG)-based sleep characteristics and physical health parameters in general adults via a cross-sectional study recruiting 100 volunteers aged 30–59 years. Sleep characteristics were measured at home using a portable multichannel electroencephalography recorder. Using the k-means +  +  clustering method, according to 10 EEG-based parameters, participants were grouped into better (n = 39), middle (n = 46), and worse (n = 15) sleep groups. Comparing 50 physical health parameters among the groups, we identified four signals of difference (P < 0.05), including systolic (sBP) and diastolic blood pressure (dBP), γ-glutamyl transpeptidase (γ-GTP), and serum creatinine, where sBP reached a Bonferroni-corrected threshold (P < 0.001). The sBP was higher by 7.9 (95% confidence interval 1.9–13.9) and 15.7 (7.3–24.0) mmHg before adjustment and 5.4 (− 0.1–10.9) and 8.7 (1.1–16.3) mmHg after adjustment for age, sex, body mass index, smoking, drinking habits, and 3% oxygen desaturation index in the middle and worse sleep groups, respectively, than in the better group. As another approach, among 500 combinations of EEG-based and physical health parameters, there were 45 signals of correlation, of which 4 (N1% and sBP, dBP, γ-GTP, and triglycerides) reached a Bonferroni-corrected threshold (P < 0.0001). Thus, EEG-based sleep characteristics are associated with several physical health parameters, particularly sBP.