bluuebunny/crossref_metadata_2025_split huggingface dataset:
Salt-Inducible Kinase 1 is a potential therapeutic target in Desmoplastic Small Round Cell Tumor
Authors: Hartono Alifiani Bonita , Kang Hong-Jun , Shi Lawrence , Phipps Whitney , Ungerleider Nathan , Giardina Alexandra , Chen WeiPing , Spraggon Lee , Somwar Romel , Moroz Krzysztof , Drewry David H. , Burow Matthew E. , Flemington Erik , Ladanyi Marc , Lee Sean Bong 
Published: April 2022

AbstractDesmoplastic Small Round Cell Tumor (DSRCT) is a rare and aggressive malignant cancer caused by a chromosomal translocation t(11;22)(p13;q12) that produces an oncogenic transcription factor, EWSR1-WT1. EWSR1-WT1 is essential for the initiation and progression of DSRCT. However, the precise mechanism by which EWSR1-WT1 drives DSRCT oncogenesis remains unresolved. Through our integrative gene expression analysis, we identified Salt Inducible Kinase 1 (SIK1) as a direct target of EWSR1-WT1. SIK1 as a member of the AMPK related kinase is involved in many biological processes. We showed that depletion of SIK1 causes inhibition of tumor cell growth, similar to the growth inhibition observed when EWSR1-WT1 is depleted. We further showed that silencing SIK1 leads to cessation of DNA replication in DSRCT cells and inhibition of tumor growth in vivo. Lastly, combined inhibition of SIK1 and CHEK1with small molecule inhibitors, YKL-05-099 and prexasertib, respectively, showed enhanced cytotoxicity in DSRCT cells compared to inhibition of either kinases alone. This work identified SIK1 as a new potential therapeutic target in DSRCT and the efficacy of SIK1 inhibition may be improved when combined with other intervention strategies.
Challenges and progress toward tumor-targeted therapy by systemic delivery of polymer-complexed oncolytic adenoviruses
Authors: Thambi Thavasyappan , Hong JinWoo , Yoon A-Rum , Yun Chae-Ok 
Published: April 2022

AbstractOncolytic adenovirus (oAd) elicits antitumor activity by preferential viral replication in cancer cells. However, poor systemic administrability or suboptimal intratumoral retainment of the virus remains a major challenge toward maximizing the antitumor activity of oAd in a clinical environment. To surmount these issues, a variety of non-immunogenic polymers has been used to modify the surface of oAds chemically or physically. Complexation of oAd with polymers can effectively evade the host immune response and reduces nonspecific liver sequestration. The tumor-specific delivery of these complexes can be further improved upon by inclusion of tumor-targeting moieties on the surface. Therefore, modification of the Ad surface using polymers is viewed as a potential strategy to enhance the delivery of Ad via systemic administration. This review aims to provide a comprehensive overview of polymer-complexed Ads, their progress, and future challenges in cancer treatment.
Effects of chronic consumption of specific fruit (berries, cherries and citrus) on cognitive health: a systematic review and meta-analysis of randomised controlled trials
Authors: Wang Yueyue , Haskell-Ramsay Crystal , Gallegos Jose Lara , Lodge John K. 
Published: April 2022

Abstract
Objectives
The cognitive-protective effects related to the consumption of a variety of fruits are supported by several intervention studies. This systematic review and meta-analysis compared the magnitude of effects following chronic (≥1 week) consumption of frozen, freeze-dried powder including extracts and juices of fruits, covering berries, cherries and citrus, on cognition and mood in adults.

Methods
PubMed, Web of Science, Scopus, and psycARTICLES were searched from inception until February, 2021. Inclusion criteria were randomised controlled trials assessing memory, executive function, psychomotor speed, mood and mini mental state examination in adult participants ≥18 years of age. Cognition was tested by global or domain specific tasks.

Results
Out of 13,861 articles identified, 16 papers were included; 11 studies provided suitable data for meta-analysis. Fourteen studies reported improvement or trend for improvement in cognition, five studies assessed mood and one study supplementing grape juice found trend for mood improvement. From the meta-analysis, cherry juice supplementation was suggested to improve psychomotor speed by −0.37 of standardised mean difference (95% CI [−0.74, 0.01]) in reaction time (P = 0.05).

Conclusions
The meta-analysis did not sufficiently support a role for fruits or fruit forms to improve cognition and mood.
Solar geoengineering could redistribute malaria risk in developing countries
Authors: Carlson Colin J. , Colwell Rita , Hossain Mohammad Sharif , Rahman Mohammed Mofizur , Robock Alan , Ryan Sadie J. , Alam Mohammad Shafiul , Trisos Christopher H. 
Published: April 2022

AbstractSolar geoengineering is often framed as a stopgap measure to decrease the magnitude, impacts, and injustice of climate change. However, the benefits or costs of geoengineering for human health are largely unknown. We project how geoengineering could impact malaria risk by comparing current transmission suitability and populations-at-risk under moderate and high greenhouse gas emissions scenarios (Representative Concentration Pathways 4.5 and 8.5) with and without geoengineering. We show that if geoengineering deployment cools the tropics, it could help protect high elevation populations in eastern Africa from malaria encroachment, but could increase transmission in lowland sub-Saharan Africa and southern Asia. Compared to extreme warming, we find that by 2070, geoengineering would nullify a projected reduction of nearly one billion people at risk of malaria. Our results indicate that geoengineering strategies designed to offset warming are not guaranteed to unilaterally improve health outcomes, and could produce regional trade-offs among Global South countries that are often excluded from geoengineering conversations.
Targeting brain lesions of non-small cell lung cancer by enhancing CCL2-mediated CAR-T cell migration
Authors: Li Hongxia , Harrison Emily B. , Li Huizhong , Hirabayashi Koichi , Chen Jing , Li Qi-Xiang , Gunn Jared , Weiss Jared , Savoldo Barbara , Parker Joel S. , Pecot Chad V. , Dotti Gianpietro , Du Hongwei 
Published: April 2022

AbstractMetastatic non-small cell lung cancer (NSCLC) remains largely incurable and the prognosis is extremely poor once it spreads to the brain. In particular, in patients with brain metastases, the blood brain barrier (BBB) remains a significant obstacle for the biodistribution of antitumor drugs and immune cells. Here we report that chimeric antigen receptor (CAR) T cells targeting B7-H3 (B7-H3.CAR) exhibit antitumor activity in vitro against tumor cell lines and lung cancer organoids, and in vivo in xenotransplant models of orthotopic and metastatic NSCLC. The co-expression of the CCL2 receptor CCR2b in B7-H3.CAR-T cells, significantly improves their capability of passing the BBB, providing enhanced antitumor activity against brain tumor lesions. These findings indicate that leveraging T-cell chemotaxis through CCR2b co-expression represents a strategy to improve the efficacy of adoptive T-cell therapies in patients with solid tumors presenting with brain metastases.
Single cell transcriptomic analysis reveals cellular diversity of murine esophageal epithelium
Authors: Kabir Mohammad Faujul , Karami Adam L. , Cruz-Acuña Ricardo , Klochkova Alena , Saxena Reshu , Mu Anbin , Murray Mary Grace , Cruz Jasmine , Fuller Annie D. , Clevenger Margarette H. , Chitrala Kumaraswamy Naidu , Tan Yinfei , Keith Kelsey , Madzo Jozef , Huang Hugh , Jelinek Jaroslav , Karakasheva Tatiana , Hamilton Kathryn E. , Muir Amanda B. , Tétreault Marie-Pier , Whelan Kelly A. 
Published: April 2022

AbstractAlthough morphologic progression coupled with expression of specific molecular markers has been characterized along the esophageal squamous differentiation gradient, the molecular heterogeneity within cell types along this trajectory has yet to be classified at the single cell level. To address this knowledge gap, we perform single cell RNA-sequencing of 44,679 murine esophageal epithelial, to identify 11 distinct cell populations as well as pathways alterations along the basal-superficial axis and in each individual population. We evaluate the impact of aging upon esophageal epithelial cell populations and demonstrate age-associated mitochondrial dysfunction. We compare single cell transcriptomic profiles in 3D murine organoids and human esophageal biopsies with that of murine esophageal epithelium. Finally, we employ pseudotemporal trajectory analysis to develop a working model of cell fate determination in murine esophageal epithelium. These studies provide comprehensive molecular perspective on the cellular heterogeneity of murine esophageal epithelium in the context of homeostasis and aging.
Mn2+-activated dual-wavelength emitting materials toward wearable optical fibre temperature sensor
Authors: Song Enhai , Chen Meihua , Chen Zitao , Zhou Yayun , Zhou Weijie , Sun Hong-Tao , Yang Xianfeng , Gan Jiulin , Ye Shi , Zhang Qinyuan 
Published: April 2022

AbstractPhotothermal sensing is crucial for the creation of smart wearable devices. However, the discovery of luminescent materials with suitable dual-wavelength emissions is a great challenge for the construction of stable wearable optical fibre temperature sensors. Benefiting from the Mn2+-Mn2+ superexchange interactions, a dual-wavelength (530/650 nm)-emitting material Li2ZnSiO4:Mn2+ is presented via simple increasing the Mn2+ concentration, wherein the two emission bands have different temperature-dependent emission behaviours, but exhibit quite similar excitation spectra. Density functional theory calculations, coupled with extended X-ray absorption fine structure and electron-diffraction analyses reveal the origins of the two emission bands in this material. A wearable optical temperature sensor is fabricated by incorporating Li2ZnSiO4:Mn2+ in stretchable elastomer-based optical fibres, which can provide thermal-sensitive emissions at dual- wavelengths for stable ratiometric temperature sensing with good precision and repeatability. More importantly, a wearable mask integrated with this stretchable fibre sensor is demonstrated for the detection of physiological thermal changes, showing great potential for use as a wearable health monitor. This study also provides a framework for creating transition-metal-activated luminescence materials.
Inducing and tuning Kondo screening in a narrow-electronic-band system
Authors: Shen Shiwei , Wen Chenhaoping , Kong Pengfei , Gao Jingjing , Si Jianguo , Luo Xuan , Lu Wenjian , Sun Yuping , Chen Gang , Yan Shichao 
Published: April 2022

AbstractAlthough the single-impurity Kondo physics has already been well understood, the understanding of the Kondo lattice where a dense array of local moments couples to the conduction electrons is still far from complete. The ability of creating and tuning the Kondo lattice in non-f-electron systems will be great helpful for further understanding the Kondo lattice behavior. Here we show that the Pb intercalation in the charge-density-wave-driven narrow-electronic-band system 1T-TaS2 induces a transition from the insulating gap to a sharp Kondo resonance in the scanning tunneling microscopy measurements. It results from the Kondo screening of the localized moments in the 13-site Star-of-David clusters of 1T-TaS2. As increasing the Pb concentration, the narrow electronic band derived from the localized electrons shifts away from the Fermi level and the Kondo resonance peak is gradually suppressed. Our results pave the way for creating and tuning many-body electronic states in layered narrow-electronic-band materials.
Early microbial markers of periodontal and cardiometabolic diseases in ORIGINS
Authors: Marotz Clarisse , Molinsky Rebecca , Martino Cameron , Bohn Bruno , Roy Sumith , Rosenbaum Michael , Desvarieux Moïse , Yuzefpolskaya Melana , Paster Bruce J. , Jacobs David R. , Colombo Paolo C. , Papapanou Panos N. , Knight Rob , Demmer Ryan T. 
Published: April 2022

AbstractPeriodontitis affects up to 50% of individuals worldwide, and 8.5% are diagnosed with diabetes. The high-comorbidity rate of these diseases may suggest, at least in part, a shared etiology and pathophysiology. Changes in oral microbial communities have been documented in the context of severe periodontitis and diabetes, both independently and together. However, much less is known about the early oral microbial markers of these diseases. We used a subset of the ORIGINS project dataset, which collected detailed periodontal and cardiometabolic information from 787 healthy individuals, to identify early microbial markers of periodontitis and its association with markers of cardiometabolic health. Using state-of-the-art compositional data analysis tools, we identified the log-ratio of Treponema to Corynebacterium bacteria to be a novel Microbial Indicator of Periodontitis (MIP), and found that this MIP correlates with poor periodontal health and cardiometabolic markers early in disease pathogenesis in both subgingival plaque and saliva.
Bridging microscopy with molecular dynamics and quantum simulations: an atomAI based pipeline
Authors: Ghosh Ayana , Ziatdinov Maxim , Dyck Ondrej , Sumpter Bobby G. , Kalinin Sergei V. 
Published: April 2022

AbstractRecent advances in (scanning) transmission electron microscopy have enabled a routine generation of large volumes of high-veracity structural data on 2D and 3D materials, naturally offering the challenge of using these as starting inputs for atomistic simulations. In this fashion, the theory will address experimentally emerging structures, as opposed to the full range of theoretically possible atomic configurations. However, this challenge is highly nontrivial due to the extreme disparity between intrinsic timescales accessible to modern simulations and microscopy, as well as latencies of microscopy and simulations per se. Addressing this issue requires as a first step bridging the instrumental data flow and physics-based simulation environment, to enable the selection of regions of interest and exploring them using physical simulations. Here we report the development of the machine learning workflow that directly bridges the instrument data stream into Python-based molecular dynamics and density functional theory environments using pre-trained neural networks to convert imaging data to physical descriptors. The pathways to ensure structural stability and compensate for the observational biases universally present in the data are identified in the workflow. This approach is used for a graphene system to reconstruct optimized geometry and simulate temperature-dependent dynamics including adsorption of Cr as an ad-atom and graphene healing effects. However, it is universal and can be used for other material systems.
An atomistic approach for the structural and electronic properties of twisted bilayer graphene-boron nitride heterostructures
Authors: Long Min , Pantaleón Pierre A. , Zhan Zhen , Guinea Francisco , Silva-Guillén Jose Ángel , Yuan Shengjun 
Published: April 2022

AbstractTwisted bilayer graphene (TBG) has taken the spotlight in the condensed matter community since the discovery of correlated phases. In this work, we study heterostructures of TBG and hexagonal boron nitride (hBN) using an atomistic tight-binding model together with semi-classical molecular dynamics to consider relaxation effects. The hBN substrate has significant effects on the band structure of TBG even in the case where TBG and hBN are not aligned. Specifically, the substrate induces a large mass gap and strong pseudo-magnetic fields that break the layer degeneracy. Interestingly, such degeneracy can be recovered with a second hBN layer. Finally, we develop a continuum model that describes the tight-binding band structure. Our results show that a real-space tight-binding model in combination with semi-classical molecular dynamics is a powerful tool to study the electronic properties of moiré heterostructures, and to explain experimental results in which the effect of the substrate plays an important role.
An additively manufactured magnesium-aluminium alloy withstands seawater corrosion
Authors: Zeng Zhuoran , Choudhary Sanjay , Esmaily Marco , Benn Felix , Derra Thomas , Hora Yvonne , Kopp Alexander , Allanore Antoine , Birbilis Nick 
Published: April 2022

AbstractMagnesium, the lightest structural metal, has inherently poor corrosion resistance. In this study, we developed a magnesium-aluminium Mg-10.6Al-0.6Zn-0.3Mn alloy, additively manufactured by laser powder bed fusion. We reveal that this alloy has a record low degradation rate amongst all magnesium alloys in practically relevant corrosive solutions, and it even withstands seawater corrosion. As tested by a number of methods, the alloy shows even more enhanced passivation with longer immersion periods. The alloy surface following immersion maintained a nearly corrosion-free appearance and was determined to have a thin aluminium-containing surface film, due to surface enrichment of aluminium from the supersaturated matrix. Aluminium enrichment near the sample surface was also observed when the sample is immersed in phosphoric acid or exposed to atmosphere at room temperature. This study demonstrates the prospects for additively manufactured ultra-lightweight magnesium structure with outstanding corrosion resistance.
Cdk5 phosphorylation-induced SIRT2 nuclear translocation promotes the death of dopaminergic neurons in Parkinson’s disease
Authors: Yan Jianguo , Zhang Pei , Tan Jie , Li Mao , Xu Xingfeng , Shao Xiaoyun , Fang Fang , Zou Zhenyou , Zhou Yali , Tian Bo 
Published: April 2022

AbstractNAD-dependent protein deacetylase Sirtuin 2 (SIRT2), which regulates several cellular pathways by deacetylating multiple substrates, has been extensively studied in the context of Parkinson’s disease (PD). Although several studies based on the MPTP model of PD show that SIRT2 deletion can protect against dopaminergic neuron loss, the precise mechanisms of SIRT2-mediated neuronal death have largely remained unknown. Here, we show that SIRT2 knockout can effectively ameliorate anomalous behavioral phenotypes in transgenic mouse models of PD. Importantly, in both cellular and animal models of PD, it was observed that SIRT2 translocates from the cytoplasm to the nucleus. Further, the nuclear translocation of SIRT2 promotes neuronal death. Moreover, the cyclin-dependent kinase 5 (Cdk5)-mediated phosphorylation of SIRT2 at the Ser331 and Ser335 sites appears to be necessary for such nuclear translocation. Taken together, the results provide insights into the mechanisms involved in the regulation of neuronal death during PD progression via the Cdk5-dependent nuclear–cytoplasmic shuttling of SIRT2.
Topological response of the anomalous Hall effect in MnBi2Te4 due to magnetic canting
Authors: Bac S.-K. , Koller K. , Lux F. , Wang J. , Riney L. , Borisiak K. , Powers W. , Zhukovskyi M. , Orlova T. , Dobrowolska M. , Furdyna J. K. , Dilley N. R. , Rokhinson L. P. , Mokrousov Y. , McQueeney R. J. , Heinonen O. , Liu X. , Assaf B. A. 
Published: April 2022

AbstractThree-dimensional (3D) compensated MnBi2Te4 is antiferromagnetic, but undergoes a spin-flop transition at intermediate fields, resulting in a canted phase before saturation. In this work, we experimentally show that the anomalous Hall effect (AHE) in MnBi2Te4 originates from a topological response that is sensitive to the perpendicular magnetic moment and to its canting angle. Synthesis by molecular beam epitaxy allows us to obtain a large-area quasi-3D 24-layer MnBi2Te4 with near-perfect compensation that hosts the phase diagram observed in bulk which we utilize to probe the AHE. This AHE is seen to exhibit an antiferromagnetic response at low magnetic fields, and a clear evolution at intermediate fields through surface and bulk spin-flop transitions into saturation. Throughout this evolution, the AHE is super-linear versus magnetization rather than the expected linear relationship. We reveal that this discrepancy is related to the canting angle, consistent with the symmetry of the crystal. Our findings bring to light a topological anomalous Hall response that can be found in non-collinear ferromagnetic, and antiferromagnetic phases.
The relationship between jumping to conclusions and social cognition in first-episode psychosis
Authors: Díaz-Cutraro Luciana , López-Carrilero Raquel , García-Mieres Helena , Ferrer-Quintero Marta , Verdaguer-Rodriguez Marina , Barajas Ana , Grasa Eva , Pousa Esther , Lorente Ester , Barrigón María Luisa , Ruiz-Delgado Isabel , González-Higueras Fermín , Cid Jordi , Mas-Expósito Laia , Corripio Iluminada , Birulés Irene , Pélaez Trinidad , Luengo Ana , Beltran Meritxell , Torres-Hernández Pedro , Palma-Sevillano Carolina , Moritz Steffen , Garety Philippa ,   Spanish Metacognition Group, Ochoa Susana 
Published: April 2022

AbstractJumping to conclusions (JTC) and impaired social cognition (SC) affect the decoding, processing, and use of social information by people with psychosis. However, the relationship between them had not been deeply explored within psychosis in general, and in first-episode psychosis (FEP) in particular. Our aim was to study the relationship between JTC and SC in a sample with FEP. We conducted a cross-sectional study with 121 patients with FEP, with measures to assess JTC (easy, hard, and salient probability tasks) and SC (emotional recognition, attributional style, and theory of mind). We performed Student’s t-test and logistic regression in order to analyse these associations.We found a statistically significant and consistent relationship of small-moderate effect size between JTC (all three tasks) and impaired emotional recognition. Also, our results suggest a relationship between JTC and internal attributions for negative events. Relationships between JTC and theory of mind were not found. These results highlight the importance of psychological treatments oriented to work on a hasty reasoning style and on improving processing of social information linked to emotional recognition and single-cause attributions.
foodMASST a mass spectrometry search tool for foods and beverages
Authors: West Kiana A. , Schmid Robin , Gauglitz Julia M. , Wang Mingxun , Dorrestein Pieter C. 
Published: April 2022

AbstractThere is a growing interest in unraveling the chemical complexity of our diets. To help the scientific community gain insight into the molecules present in foods and beverages that we ingest, we created foodMASST, a search tool for MS/MS spectra (of both known and unknown molecules) against a growing metabolomics food and beverage reference database. We envision foodMASST will become valuable for nutrition research and to assess the potential uniqueness of dietary biomarkers to represent specific foods or food classes.