bluuebunny/crossref_metadata_2025_split huggingface dataset:
A DNA Aptamer Targeting Cellular Fibronectin Rather Than Plasma Fibronectin for Bioimaging and Targeted Chemotherapy of Tumors
Authors: Zou Yujian , Wang Yufei , Wen Xiaohong , Li Chihao , Lei Lei , Guo Qiuping , Sun Guoming , Yu Li , Nie Hemin 
Published: August 2022

AbstractFibronectin (FN) is a well‐established hallmark of epithelial‐to‐mesenchymal transition, and may serve as an omnipresent cancer biomarker regardless of the origins of tumor cells. An ssDNA aptamer (ZY‐1) with highly selective binding affinity to mesenchymal stromal cells is previously developed, but the binding target of ZY‐1 on the cells and the underlying mechanism is yet to be understood. Here, the identification of FN as the target protein of aptamer ZY‐1 is reported for the first time and the mechanism of ZY‐1 binding to cFN is explored. The data indicate that ZY‐1 solely recognizes cellular fibronectin (cFN) rather than plasma fibronectin (pFN). The ZY‐1 binding to cFN is explored through computational modeling and the competition of heparin in binding cFN owing to steric hindrance is confirmed. The in vitro assay and noninvasive in vivo fluorescence imaging results validate the specificity of ZY‐1 in targeting cFN and sensitivity in detecting tumors. The ZY‐1‐mediated targeted cancer therapy using a proof‐of‐concept study with a ZY‐1‐based complex loaded with doxorubicin (Dox) is further proved. This study would facilitate more comprehensive studies of anti‐FN aptamers in the imaging and treatment of tumors and other FN‐associated diseases.
Inorganic‐Rich and Flexible Solid‐Electrolyte Interphase Formed Over Dipole‐Dipole Interaction for Highly Stable Lithium‐Metal Anodes
Authors: Zhu Jinqi , Cui Zhe , He Shu‐Ang , Wang Hao , Gao Mengluan , Wang Wenqing , Yang Jianmao , Xu Xintong , Hu Junqing , Lu Aijiang , Zou Rujia 
Published: August 2022

AbstractThe uncontrollable lithium (Li) dendrite growth and unstable solid electrolyte interfaces (SEI) hinder the practical application of Li metal batteries (LMBs). Herein, a PAN/CNTs‐based SiO2‐modified vertical‐cavity film (PCS‐VCF) with a network structure is prepared by a simple spin‐coating process to address these challenges. This new current collector with a polar lithiophilic network stabilizes the Li metal anodes by regulating the chemical environment in carbonate electrolytes. The dipole interaction between the CN groups and the CO groups reduces the high reactivity of the carbonates in the electrolyte, forming an SEI layer with higher inorganic components and enhancing the stability of the electrode/electrolyte interface. The special vertical‐cavity network structure inside the current collector can decrease local current density and suppress the huge volume expansion of Li metal during the cycling process. Consequently, a high‐performance Li metal anode with dendrite‐free morphology is achieved (over 1500 cycles with low overpotential at 20 mA cm−2 in symmetric cells). Furthermore, full cell with the LiNi0.8Co0.1Mn0.1O2 cathode delivers a stable capacity of 164.5 mA h g−1 for 500 cycles at 5 C, with a capacity decay rate of 0.077% per cycle.
The Modular µSiM Reconfigured: Integration of Microfluidic Capabilities to Study In Vitro Barrier Tissue Models under Flow
Authors: Mansouri Mehran , Ahmed Adeel , Ahmad S. Danial , McCloskey Molly C. , Joshi Indranil M. , Gaborski Thomas R. , Waugh Richard E. , McGrath James L. , Day Steven W. , Abhyankar Vinay V. 
Published: August 2022

AbstractMicrofluidic tissue barrier models have emerged to address the lack of physiological fluid flow in conventional “open‐well” Transwell‐like devices. However, microfluidic techniques have not achieved widespread usage in bioscience laboratories because they are not fully compatible with traditional experimental protocols. To advance barrier tissue research, there is a need for a platform that combines the key advantages of both conventional open‐well and microfluidic systems. Here, a plug‐and‐play flow module is developed to introduce on‐demand microfluidic flow capabilities to an open‐well device that features a nanoporous membrane and live‐cell imaging capabilities. The magnetic latching assembly of this design enables bi‐directional reconfiguration and allows users to conduct an experiment in an open‐well format with established protocols and then add or remove microfluidic capabilities as desired. This work also provides an experimentally‐validated flow model to select flow conditions based on the experimental needs. As a proof‐of‐concept, flow‐induced alignment of endothelial cells and the expression of shear‐sensitive gene targets are demonstrated, and the different phases of neutrophil transmigration across a chemically stimulated endothelial monolayer under flow conditions are visualized. With these experimental capabilities, it is anticipated that both engineering and bioscience laboratories will adopt this reconfigurable design due to the compatibility with standard open‐well protocols.
Atomically Thin Synapse Networks on Van Der Waals Photo‐Memtransistors
Authors: Moon Gunho , Min Seok Young , Han Cheolhee , Lee Suk‐Ho , Ahn Heonsu , Seo Seung‐Young , Ding Feng , Kim Seyoung , Jo Moon‐Ho 
Published: August 2022

AbstractA new type of atomically thin synaptic network on van der Waals (vdW) heterostructures is reported, where each ultrasmall cell (≈2 nm thick) built with trilayer WS2 semiconductor acts as a gate‐tunable photoactive synapse, i.e., a photo‐memtransistor. A train of UV pulses onto the WS2 memristor generates dopants in atomic‐level precision by direct light–lattice interactions, which, along with the gate tunability, leads to the accurate modulation of the channel conductance for potentiation and depression of the synaptic cells. Such synaptic dynamics can be explained by a parallel atomistic resistor network model. In addition, it is shown that such a device scheme can generally be realized in other 2D vdW semiconductors, such as MoS2, MoSe2, MoTe2, and WSe2. Demonstration of these atomically thin photo‐memtransistor arrays, where the synaptic weights can be tuned for the atomistic defect density, provides implications for a new type of artificial neural networks for parallel matrix computations with an ultrahigh integration density.
Preparation of Redox‐Active Metal–Organic Frameworks via Post‐Synthetic Modification of Organic Selenium for In Situ Confinement of Metal Nanoparticles
Authors: Fan Fuqiang , Feng Shiyi , Zhao Lin , Zhang Liying , Zhang Xuemin , Wang Tieqiang , Fu Yu 
Published: August 2022

AbstractRedox‐active metal–organic frameworks (MOFs), with switchable physicochemical properties depending on their redox state, are widely used in catalysis, selective separation, and electrochemical sensing. However, the complex fabrication process limits the applications. Herein, a post‐synthetic modification strategy is proposed to prepare redox‐active MOFs by covalent grafting organic selenium compounds. The selenium moieties can reduce metal salt to in situ generate metal nanoparticles (MNPs) without an external reducing agent, and also act as anchors to stabilize the generated MNPs. As a proof of concept, two kinds of MOFs are selected to prepare redox‐active MOFs‐Se and further fabricate MNPs@MOFs composite materials. With controllable confinement of the MNPs, the MNPs@MOFs composite show noteworthy photocatalytic and electrocatalytic activity.
Pollinator research provides conservation management implications in North Dakota
Authors: Kral‐O'Brien Katherine C. , Adams Savannah , Antonsen Adrienne , Bendel Cayla , Keen Hailey , Pei C. K. , Roberton Bethany , Geaumont Benjamin , Limb Ryan , Hovick Torre , Harmon Jason 
Published: August 2022

AbstractPollinator declines have driven research and increased monitoring efforts. Within North Dakota, USA, our research group initiated research in 2015 on pollinator conservation and management. We synthesized results across five projects, producing 12 publications and providing baseline data on pollinator diversity and rangeland management to improve conservation efforts while land‐sharing with livestock. We detected 76 species of butterflies and ∼318 bee species. Butterfly diversity and relative abundance were driven by floral resources and less exotic plant invasions, with a positive relationship between flowers and pollinators. Invasive forbs were visited by pollinators, primarily honey bees. We also found management influenced vegetation characteristics within pastures, but landscape context was important for determining the specific outcome. Although pollinator abundance did not distinctly respond to management, diversity was affected by regime and grazer type. Using fire and grazing may benefit flowers to support pollinators. Our research will help guide rangeland management decisions that promote land sharing and benefit pollinator conservation efforts.Core Ideas

We synthesized pollinator data from research conducted over six years in North Dakota.
Pollinator diversity correlated with more forb diversity and less invasive plant species cover.
Pollinator diversity, not abundance, has variable responses to management regime and grazer type.
Fire and grazing may benefit vegetation communities to conserve pollinators in some landscapes.
Peripheral Blood DNA Methylation–Based Machine Learning Models for Prediction of Knee Osteoarthritis Progression: Biologic Specimens and Data From the Osteoarthritis Initiative and Johnston County Osteoarthritis Project
Authors: Dunn Christopher M. , Sturdy Cassandra , Velasco Cassandra , Schlupp Leoni , Prinz Emmaline , Izda Vladislav , Arbeeva Liubov , Golightly Yvonne M. , Nelson Amanda E. , Jeffries Matlock A. 
Published: August 2022

ObjectiveThe lack of accurate biomarkers to predict knee osteoarthritis (OA) progression is a key unmet need in OA clinical research. The objective of this study was to develop baseline peripheral blood epigenetic biomarker models to predict knee OA progression.MethodsGenome‐wide buffy coat DNA methylation patterns from 554 individuals from the Osteoarthritis Biomarkers Consortium (OABC) were determined using Illumina Infinium MethylationEPIC 850K arrays. Data were divided into model development and validation sets, and machine learning models were trained to classify future OA progression by knee pain, radiographic imaging, knee pain plus radiographic imaging, and any progression (pain, radiographic, or both). Parsimonious models using the top 13 CpG sites most frequently selected during development were tested on independent samples from participants in the Johnston County Osteoarthritis (JoCo OA) Project (n = 128) and a previously published Osteoarthritis Initiative (OAI) data set (n = 55).ResultsFull models accurately classified future radiographic‐only progression (mean ± SEM accuracy 87 ± 0.8%, area under the curve [AUC] 0.94 ± 0.004), pain‐only progression (accuracy 89 ± 0.9%, AUC 0.97 ± 0.004), pain plus radiographic progression (accuracy 72 ± 0.7%, AUC 0.79 ± 0.006), and any progression (accuracy 78 ± 0.4%, AUC 0.86 ± 0.004). Pain‐only and radiographic‐only progressors were not distinguishable (mean ± SEM accuracy 58 ± 1%, AUC 0.62 ± 0.001). Parsimonious models showed similar performance and accurately classified future radiographic progressors in the OABC cohort and in both validation cohorts (mean ± SEM accuracy 80 ± 0.3%, AUC 0.88 ± 0.003 [using JoCo OA Project data], accuracy 80 ± 0.8%, AUC 0.89 ± 0.002 [using previous OAI data]).ConclusionOur data suggest that pain and structural progression share similar early systemic immune epigenotypes. Further studies should focus on evaluating the pathophysiologic consequences of differential DNA methylation and peripheral blood cell epigenotypes in individuals with knee OA.image
The Role of Genetics in Clinically Suspect Arthralgia and Rheumatoid Arthritis Development: A Large Cross‐Sectional Study
Authors: Maurits Marc P. , Wouters Fenne , Niemantsverdriet Ellis , Huizinga Thomas W. J. , van den Akker Erik B. , Le Cessie Saskia , van der Helm‐van Mil Annette H. M. , Knevel Rachel 
Published: August 2022

ObjectiveTo investigate whether established genetic predictors for rheumatoid arthritis (RA) differentiate healthy controls, patients with clinically suspect arthralgia (CSA), and RA patients.MethodsUsing analyses of variance, chi‐square tests, and mean risk difference analyses, we investigated the association of an RA polygenic risk score (PRS) and HLA shared epitope (HLA‐SE) with all participant groups, both unstratified and stratified for anti–citrullinated protein antibody (ACPA) status. We used 3 separate data sets sampled from the same Dutch population (1,015 healthy controls, 479 CSA patients, and 1,146 early classified RA patients). CSA patients were assessed for conversion to inflammatory arthritis over a period of 2 years, after which they were classified as either CSA converters (n = 84) or CSA nonconverters (n = 395).ResultsThe PRS was increased in RA patients (mean ± SD PRS 1.31 ± 0.96) compared to the complete CSA group (1.07 ± 0.94) and compared to CSA converters (1.12 ± 0.94). In ACPA– strata, PRS distributions differed strongly when comparing the complete CSA group (mean ± SD PRS 1.05 ± 0.94) and CSA converters (0.97 ± 0.87) to RA patients (1.20 ± 0.94), while in the ACPA+ strata, the complete CSA group (1.25 ± 0.99) differed clearly from healthy controls (1.05 ± 0.94) and RA patients (1.41 ± 0.96). HLA‐SE was more prevalent in the RA group (prevalence 0.64) than the complete CSA group (0.45), with small differences between RA patients and CSA converters (0.64 versus 0.60) and larger differences between CSA converters and CSA nonconverters (0.60 versus 0.42). HLA‐SE prevalence differed more strongly within the ACPA+ strata as follows: healthy controls (prevalence 0.43), CSA nonconverters (0.48), complete CSA group (0.59), CSA converters (0.66), and RA patients (0.79).ConclusionWe observed that genetic predisposition increased across pre‐RA participant groups. The RA PRS differed in early classified RA and inflammatory pre‐disease stages, regardless of ACPA stratification. HLA‐SE prevalence differed between arthritis patients, particularly ACPA+ patients, and healthy controls. Genetics seem to fulfill different etiologic roles.
Toughened Hydrogels for 3D Printing of Soft Auxetic Structures
Authors: Pruksawan Sirawit , Chee Heng Li , Wang Zizhen , Luo Ping , Chong Yi Ting , Thitsartarn Warintorn , Wang FuKe 
Published: August 2022

AbstractMaterials with negative Poisson's ratio have attracted considerable attention and offered high potential applications as biomedical devices due to their ability to expand in every direction when stretched. Although negative Poisson's ratio has been obtained in various base materials such as metals and polymers, there are very limited works on hydrogels due to their intrinsic brittleness. Herein, we report the use of methacrylated cellulose nanocrystals (CNCMAs) as a macro‐cross‐linking agent in poly(2‐hydroxyethyl methacrylate) (pHEMA) hydrogels for 3D printing of auxetic structures. Our developed CNCMA‐pHEMA hydrogels exhibit significant improvements in mechanical properties, which is attributed to the coexistence of multiple chemical and physical interactions between the pHEMA and CNCMAs. Structures printed by using CNCMA‐pHEMA hydrogels show auxetic behavior with greatly enhanced toughness and stretchability compared to the hydrogel with a traditional cross‐linking agent. Such strong and tough auxetic hydrogels would contribute toward establishing advanced flexible implantable devices such as biodegradable oesophageal self‐expandable stents.
Silver‐Catalyzed One‐Pot Three‐Component Synthesis of α‐Aminonitriles and Biologically Relevant α‐Amino‐phosphonates
Authors: Pandey Vipin K. , Tiwari Chandra Shekhar , Rit Arnab 
Published: August 2022

AbstractA simple silver salt (AgSbF6)‐catalyzed aminophosphonylation and Strecker reaction have been developed and successfully applied to a wide range of substrates (>55 substrates). This solvent‐, ligand‐, and base‐free one‐pot three‐component protocol operates effectively at room temperature to provide diversified α‐aminophosphonates and α‐aminonitriles, which gave access to the respective α‐amino amides. Importantly, the present catalyst system is also capable to produce the rarely reported and biologically relevant aminophosphonates (having anti‐leishmanial activity). Further, mechanistic studies reveal that the present phosphonylation protocol follows a radical pathway.
Association between maternal prepregnancy diabetes mellitus and preconception folic acid supplement use by Hispanic ethnicity: Findings from Georgia, New York City, and Puerto Rico PRAMS 2016–2018
Authors: Guzman Iridian A. , Kramer Michael R. , Kancherla Vijaya 
Published: August 2022

AbstractBackgroundMaternal ethnicity, prepregnancy diabetes, and preconception folic acid intake, are all associated with increased risk of neural tube defects in the United States. We assessed the association between prepregnancy diabetes and preconception folic acid use by Hispanic ethnicity.MethodsWe used population‐based, cross‐sectional survey data from New York City, Georgia and Puerto Rico's 2016–2018 Pregnancy Risk Assessment Monitoring System (PRAMS). Prepregnancy Type 1 or Type 2 diabetes was self‐reported. Adequate preconception folic acid intake was defined as intake of a multivitamin, a prenatal vitamin, or a folic acid vitamin 4–7 times/week during the month before pregnancy. Multivariable logistic regression was used to calculate adjusted prevalence odds ratio (aPORs) and 95% confidence intervals (CI), stratified by Hispanic ethnicity.ResultsPrepregnancy diabetes was reported by 2.9% of Hispanic and 3.6% of non‐Hispanic participants. Adequate preconception folic acid use was reported by 25.9% and 39.9% of Hispanics and non‐Hispanics, respectively. There was an inverse association between prepregnancy diabetes and preconception folic acid use among Hispanics (aPOR = 0.75; 95% CI = 0.31, 1.81), while the association was positive among non‐Hispanics (aPOR = 1.26; 95% CI = 0.70, 2.26); however, the 95% confidence intervals for both groups contained the null value.ConclusionsThe association between prepregnancy diabetes and folic acid intake varied by Hispanic ethnicity. Our hypothesis that reproductive‐aged women with prepregnancy diabetes may receive timely diabetic care, including health counseling to take preconception folic acid, was not supported by our study data. Future studies should examine the association in additional PRAMS sites. Preconception health screening, and folic acid intake among Hispanics, should be strengthened.
Shaping the “hot” immunogenic tumor microenvironment by nanoparticles co‐delivering oncolytic peptide and TGF‐β1 siRNA for boosting checkpoint blockade therapy
Authors: Phung Cao Dai , Nguyen Bao Loc , Jeong Jee‐Heon , Chang Jae‐Hoon , Jin Sung Giu , Choi Han‐Gon , Ku Sae Kwang , Kim Jong Oh 
Published: August 2022

AbstractInduction of potent immune responses toward tumors remains challenging in cancer immunotherapy, in which it only showed benefits in a minority of patients with “hot” tumors, which possess pre‐existing effector immune cells within the tumor. In this study, we proposed a nanoparticle‐based strategy to fire up the “cold” tumor by upregulating the components associated with T and NK cell recruitment and activation and suppressing TGF‐β1 secretion by tumor cells. Specifically, LTX‐315, a first‐in‐class oncolytic cationic peptide, and TGF‐β1 siRNA were co‐entrapped in a polymer‐lipid hybrid nanoparticle comprising PLGA, DSPE‐mPEG, and DSPE‐PEG‐conjugated with cRGD peptide (LTX/siR‐NPs). The LTX/siR‐NPs showed significant inhibition of TGF‐β1 expression, induction of type I interferon release, and triggering immunogenic cell death (ICD) in treated tumor cells, indicated via the increased levels of danger molecules, an in vitro setting. The in vivo data showed that the LTX/siR‐NPs could effectively protect the LTX‐315 peptide from degradation in serum, which highly accumulated in tumor tissue. Consequently, the LTX/siR‐NPs robustly suppressed TGF‐β1 production by tumor cells and created an immunologically active tumor with high infiltration of antitumor effector immune cells. As a result, the combination of LTX/siR‐NP treatment with NKG2A checkpoint inhibitor therapy remarkably increased numbers of CD8+NKG2D+ and NK1.1+NKG2D+ within tumor masses, and importantly, inhibited the tumor growth and prolonged survival rate of treated mice. Taken together, this study suggests the potential of the LTX/siR‐NPs for inflaming the “cold” tumor for potentiating the efficacy of cancer immunotherapy.
Computing hydrodynamic eigenmodes of channel flow with slip—A highly accurate algorithm
Authors: Raju Suraj , Gründing Dirk , Marić Tomislav , Bothe Dieter , Fricke Mathis 
Published: August 2022

AbstractThe transient start‐up flow solution with slip is a useful tool to verify computational fluid dynamics (CFD) simulations. However, a highly accurate, open‐source black box solution does not seem to be available. Our method provides a fast, automated, and rigorously verified open‐source implementation that can compute the hydrodynamic eigenmodes of a two‐dimensional channel flow beyond the standard floating‐point precision. This allows for a very accurate computation of the corresponding Fourier series solution. We prove that all roots are found in all special cases for the general flow problem with different slip lengths on the channel walls. The numerical results confirm analytically derived asymptotic power laws for the leading hydrodynamic eigenmode and the characteristic timescale in the limiting cases of small and large slip. The code repository including test cases is publicly available (DOI: 10.5281/zenodo.6806351). The Navier slip boundary condition for numerical simulations in OpenFOAM is also publicly available (DOI: 10.5281/zenodo.7037712).