bluuebunny/crossref_metadata_2025_split huggingface dataset:
RONIN/HCF1‐TFEB Axis Protects Against D‐Galactose‐Induced Cochlear Hair Cell Senescence Through Autophagy Activation
Authors: Wei Yongjie , Zhang Yuhua , Cao Wei , Cheng Nan , Xiao Yun , Zhu Yongjun , Xu Yan , Zhang Lei , Guo Lingna , Song Jun , Sha Su‐hua , Shao Buwei , Ma Fang , Yang Jingwen , Ying Zheng , He Zuhong , Chai Renjie , Fang Qiaojun , Yang Jianming 
Published: February 2025

AbstractAge‐related hearing loss is characterized by senescent inner ear hair cells (HCs) and reduced autophagy. Despite the improved understanding of these processes, detailed molecular mechanisms underlying cochlear HC senescence remain unclear. Transcription Factor EB (TFEB), a key regulator of genes associated with autophagy and lysosomes, crucially affects aging‐related illnesses. However, intricate regulatory networks that influence TFEB activity remain to be thoroughly elucidated. The findings revealed that RONIN (THAP11), through its interaction with host cell factor C1 (HCF1/HCFC1), modulated the transcriptional activity of Tfeb, thus contributing to the mitigation (D‐galatactose [D‐gal]) senescent HC loss. Specifically, RONIN overexpression improved autophagy levels and lysosomal activity and attenuated changes associated with the senescence of HCs triggered by D‐gal. These findings highlight the possibility of using RONIN as a viable therapeutic target to ameliorate presbycusis by enhancing the TFEB function.
NAT10 Promotes Gastric Cancer Liver Metastasis by Modulation of M2 Macrophage Polarization and Metastatic Tumor Cell Hepatic Adhesion
Authors: Chen Chen , Wang Zhangding , Lin Qingfeng , Li Mengmeng , Xu Lei , Fu Yao , Zhao Xiaoya , Ma Zhuang , Xu Jiawen , Zhou Shimeng , Zhang Mingyue , Qian Yun , Bao Linsen , Wang Bo , Wang Meng , Ding Qingqing , Wang Qiang , Wang Shouyu 
Published: February 2025

AbstractThe relationship between patterns of RNA modifications and gastric cancer (GC) liver metastasis (GCLM) remains unclear. Here, by single‐cell sequencing, clinical sample analysis, and mouse model studies, an abnormal increase in the expression of the RNA acetyltransferase N‐acetyltransferase 10 (NAT10) in liver metastatic GC cells is identified. NAT10‐mediated N4‐acetylcytidine modification of CXCL2 and KLF5 mRNA increases their stability. Then, secreted CXCL2 is found to promote the infiltration and polarization of M2‐like macrophages to produce oncostatin M, which transcriptionally activates NAT10 expression via STAT3 signaling. In addition, organoid models confirm that NAT10 promotes the adhesion of GC cells to hepatocytes. Mechanistically, KLF5 transcriptionally activates ITGαV, facilitating GC cell attachment to hepatocytes. Intriguingly, high expression of NAT10/KLF5 axis is associated with poor prognosis of GC patients and targeting this axis significantly reduces GCLM in preclinical murine models. Collectively, these findings suggest the clinical significance of NAT10 in developing targeted therapies for GC patients with liver metastasis.
Multimodal Artificial Intelligence‐Based Virtual Biopsy for Diagnosing Abdominal Lavage Cytology‐Positive Gastric Cancer
Authors: Ding Ping'an , Yang Jiaxuan , Guo Honghai , Wu Jiaxiang , Wu Haotian , Li Tongkun , Gu Renjun , Zhang Lilong , He Jinchen , Yang Peigang , Tian Yuan , Meng Ning , Li Xiaolong , Guo Zhenjiang , Meng Lingjiao , Zhao Qun 
Published: February 2025

AbstractGastric cancer with peritoneal dissemination remains a significant clinical challenge due to its poor prognosis and difficulty in early detection. This study introduces a multimodal artificial intelligence‐based risk stratification assessment (RSA) model, integrating radiomic and clinical data to predict peritoneal lavage cytology‐positive (GC‐CY1) in gastric cancer patients. The RSA model is trained and validated across retrospective, external, and prospective cohorts. In the training cohort, the RSA model achieved an area under the curve (AUC) of 0.866, outperforming traditional clinical and radiomic feature models. External validation cohorts confirmed its robustness, with AUC values of 0.883 and 0.823 for predicting peritoneal metastasis and recurrence, respectively. In a prospective validation involving 152 patients, the model maintained superior predictive performance (AUC = 0.835). The RSA model also demonstrated significant clinical benefits by effectively identifying high‐risk patients likely to benefit from specific treatments, such as paclitaxel‐based conversion therapy. These findings suggest that the RSA model offers a reliable, non‐invasive diagnostic tool for gastric cancer, capable of improving early detection and treatment outcomes. Further prospective studies are warranted to explore its full clinical potential.
Targeting the Adenosine‐Mediated Metabolic Immune Checkpoint with Engineered Probiotic for Enhanced Chemo‐Immunotherapy
Authors: Wang Jinhui , Wang Jing , Yu Zhijie , Wen Hongyu , Zhao Chensi , Zhong Jiayong , Xiao Chuanle , Li Yingqiu , Xu Jianqiao , Wang Jinquan , Mao Zong‐Wan , Xia Wei 
Published: February 2025

AbstractImmunotherapy has revolutionized cancer treatment by leveraging the patient's immune system, yet its efficacy is often hampered by the immunosuppressive tumor microenvironment (TME). Adenosine, a key player in this milieu, suppresses immune cell activity via cAMP signaling. Here, an innovative strategy to remodel the TME using a genetically engineered strain of Escherichia coli Nissle 1917 that expresses adenosine deaminase on its surface under hypoxic conditions is presented. This engineered probiotic targets tumors, converts immunosuppressive adenosine to inosine, and enhances anti‐tumor immune responses. In vivo, the engineered probiotic significantly improved immune cell infiltration and demonstrated synergistic effects with low‐dose doxorubicin in both subcutaneous and orthotopic mouse colorectal cancer model. Furthermore, the engineered probiotic modulated the TME, promoting a shift from M2‐like to M1‐like macrophages and increasing effector T cell populations. These findings highlight the potential of using engineered probiotics for metabolic modulation of the TME, offering a novel approach for enhancing cancer immunotherapy.
(Apo)Lipoprotein Profiling with Multi‐Omics Analysis Identified Medium‐HDL‐Targeting PSRC1 with Therapeutic Potential for Coronary Artery Disease
Authors: Li Yingmei , Wang Sihan , Liu Ling , Cai Hao , Huang Yacan , Gao Mingjing , Zhang Xiaogang , Wu Qingqing , Qiu Gaokun 
Published: February 2025

AbstractIdentification of (apo)lipoprotein subclasses causally underpinning atherosclerosis may lead to identification of novel drug targets for treatment of atherosclerotic cardiovascular disease (ASCVD). In this study, observational and genetic associations between (apo)lipoprotein profile and carotid intima‐media thickness‐assessed atherosclerosis, and risks of coronary artery disease (CAD) and ischemic stroke (IS) are assessed, using data from the UK Biobank study, with further exploration of potential drug target for these two ASCVD subtypes through multi‐omics analysis integrating genetic, transcriptomic, and proteomic data. Cholesteryl ester content in medium high‐density lipoprotein causally protective of atherosclerosis is identified, plus a target gene, PSRC1, with therapeutic potential for CAD, but not IS, supported by consistent evidence from multi‐omics layers of data, which also reveals that such therapeutic potential may be through downregulation of circulating proteins including TRP1, GRNs, and Pla2g12b, and upregulation of Neo1. The results provide strong evidence as well as mechanistic clues of PSRC1’s therapeutic potential for CAD.
High‐Fidelity Computational Microscopy via Feature‐Domain Phase Retrieval
Authors: Zhang Shuhe , Pan An , Sun Hongbo , Tan Yidong , Cao Liangcai 
Published: February 2025

AbstractComputational microscopy enhances the space‐bandwidth product and corrects aberrations for high‐fidelity imaging by reconstructing complex optical wavefronts. Phase retrieval, a core technique in computational microscopy, faces challenges maintaining consistency between physical and real‐world imaging formation, as physical models idealize real phenomena. The discrepancy between ideal and actual imaging formation limits the application of computational microscopy especially in non‐ideal situations. Here, the feature‐domain consistency for achieving high‐fidelity computational microscopy is introduced. Feature‐domain consistency tells that certain features, such as edges, textures, or patterns of an image, remain invariant in different image transformations, degradations, or representations. Leveraging the feature‐domain consistency, Feature‐Domain Phase Retrieval (FD‐PR) is proposed, a framework applicable to various computational microscopy. Instead of working directly with images' pixel values, FD‐PR uses image features to guide the reconstruction of optical wavefronts and takes advantage of invariance components of images against mismatches of physical models. Experimental studies, across diverse phase retrieval microscopic tasks, including coded/Fourier ptychography, inline holography, and aberration correction, demonstrate that FD‐PR improves resolution by a factor of 1.5 and reduces noise levels by a factor of 2. The proposed framework can immediately benefit a wide range of computational microscopies, such as X‐ray ptychography, diffraction tomography, and wavefront shaping.
Impact of the Sulfurized Polyacrylonitrile Cathode Microstructure on the Electrochemical Performance of Lithium–Sulfur Batteries
Authors: Moschner Robin , Gerle Martina , Danner Timo , Simanjuntak Esther Kezia , Michalowski Peter , Latz Arnulf , Nojabaee Maryam , Kwade Arno , Friedrich K. A. 
Published: February 2025

AbstractThe growing demand for advanced energy storage systems requires the development of next‐generation battery technologies with superior energy density and cycle stability, with lithium–sulfur (Li–S) batteries representing a promising solution. Sulfur‐containing polyacrylonitrile cathodes (SPAN) for Li–S batteries are a significant advancement for this next‐generation battery chemistry, addressing the major issue of limited cycle life encountered in conventional carbon/sulfur composite cathodes. In the presented study, the influence of available ionic and electronic conduction pathways within the cathode on the electrochemical performance of SPAN‐based Li–S batteries is studied in details. To this end, a series of SPAN cathodes with different microstructures is prepared by adapting the compression degree of calendering. Mechanical and morphological characterizations confirm a pronounced springback effect due to a characteristic elastic deformation behavior of SPAN. Electrochemical impedance spectroscopy (EIS) shows increased cathode impedance values with multiple overlapping processes in the high‐ to mid‐frequency region in highly compressed SPAN cathodes. Moreover, while the (first) discharge capacity is unaffected, the subsequent charge capacity decreases substantially for highly compressed cathodes. The electrochemical experiments and electrochemical continuum simulations confirm that this phenomenon is mainly due to the disturbance of the electronic percolation pathways caused by the springback behavior during calendering.
Biomimetic Nanoplatform for Targeted Rheumatoid Arthritis Therapy: Modulating Macrophage Niches Through Self‐Sustaining Positive Feedback‐Driven Drug Release Mechanisms
Authors: Xie Huichao , Huang Xiaoyu , Li Bao , Chen Yongfeng , Niu Haoran , Yu Tong , Yang Shimei , Gao Shuxin , Zeng Yutong , Yang Tianzhi , Kang Yan , Zhang Keda , Ding Pingtian 
Published: February 2025

AbstractThe core strategies in treating rheumatoid arthritis (RA) now focus on ameliorating the inflammatory microenvironment and reversing macrophage phenotypes within the joint cavity. This study introduces a co‐delivery system of integrating nanoenzymes and gene therapeutics sequentially modified with guanidinium‐based polymers and macrophage membranes to achieve synergistic therapeutic effects. This co‐delivery system is named MACP siTNF‐α nanoparticles (NPs). MACP siTNF‐α nanoparticles are designed for targeted delivery to the inflamed joint site, where they are preferentially internalized by M1‐type macrophages and efficiently evade lysosomal degradation. Subsequently, the co‐delivery system operates efficiently via a self‐sustaining positive feedback drug release mechanism. The biomimetic nanoplatform reduces reactive oxygen species (ROS) levels and prevents glutathione (GSH) depletion. GSH degrades the polymers to release small interfering RNA (siRNA) and expose the Prussian blue (PB) nanoenzymes, which effectively scavenge ROS and restore GSH levels. This feedback loop significantly enhances the gene silencing capability and ROS scavenging efficiency of the co‐delivery system. In summary, MACP siTNF‐α NPs can reverse macrophage ecological niche in inflammatory soils through the dual mechanism of efficiently inhibiting the expression of tumor necrosis factor‐alpha (TNF‐α) the upstream pathway of the inflammatory response, and eliminating ROS, thus realizing efficient treatment of RA.
Outermost Cationic Surface Charge of Layer‐by‐Layer Films Prevents Endothelial Cells Migration for Cell Compartmentalization in Three‐Dimensional Tissues
Authors: Zeng Jinfeng , Heilig Sven , Ryma Matthias , Groll Jürgen , Li Congju , Matsusaki Michiya 
Published: February 2025

AbstractTissues and organs possess an organized cellular arrangement that enables their unique functions. However, conventional three‐dimensional (3D) encapsulation techniques fail to recapitulate this complexity due to the cell migration during cell culture. In biological tissues, basement membranes (BMs) are essential to mechanically support cellular organization. This study finds that a positively charged outermost surface of multilayered nanofilms, fabricated through layer‐by‐layer assembly of poly‐l‐lysine (PLL) and dextran (Dex) via hydrogen bonds, stimulates the barrier functions of BMs. This type of artificial BM (A‐BM) demonstrates enhanced barrier properties in comparison to other types of A‐BMs composed of BM components such as collagen type IV and laminin. Such an enhancement is potentially associated with the outermost cationic layer, which inhibits the sprouting of endothelial cells (ECs) and effectively prevents EC migration over a 14‐d period, aligning with the formation timeline of natural BMs in 3D tissues. Finally, 3D organized vascular channels are successfully engineered with the support of shape‐adaptable PLL/Dex nanofilms. This approach offers a guideline for engineering organized 3D tissue models by regulating cell migration, which can provide reliable platforms for in vitro permeability assay of new drugs or drug delivery carriers.
Semi‐Organic Artificial Photosynthetic System with Engineered Phenoxazinone Derivatives for Photocatalytic Hydrogen Production with Broadened Near‐Infrared Light Harvesting
Authors: Ruan Xiaowen , Meng Depeng , Xu Minghua , Fang Guozhen , Ding Chunsheng , Leng Jing , Wang Xuan , Ba Kaikai , Zhang Haiyan , Zhang Wei , Xie Tengfeng , Jiang Zhifeng , Dai Jianan , Cui Xiaoqiang , Ravi Sai Kishore 
Published: February 2025

AbstractNatural photosynthetic systems utilize complex pigment‐protein assemblies for light harvesting across a broad spectral range from UV to near‐infrared, enabling efficient photogeneration and charge separation. Conventional photocatalysts, however, primarily absorb UV (<380 nm) and visible light (380–780 nm), resulting in suboptimal spectral utilization. This study introduces a semi‐organic artificial photosynthetic system that integrates molecularly engineered phenoxazinone derivatives with H‐doped rutile TiO2 (H‐TiO2) nanorods. Bis(Triphenylamine)Phenoxazinone (BTP) features a phenoxazinone core with two triphenylamine donor groups, enabling light absorption up to 800 nm. Modifying BTP with an additional malononitrile group (MBTP) extends absorption into the NIR region up to 1200 nm. Optimized semi‐organic catalysts with MBTP nanobelts and H‐TiO2 nanorods showed an excellent photocatalytic hydrogen evolution rate of 29.4 mmol g−1 h−1 and 60.4 µmol g−1 h−1 under UV–vis and NIR irradiation, respectively. Femtosecond transient absorption (fs‐TA) spectroscopy showed rapid electron injection from the photoexcited phenoxazinone derivatives to the H‐TiO2 conduction band, indicating efficient charge carrier dynamics. Photoelectrochemical measurements confirmed improved charge transport and reduced recombination in the MBTP‐based system, attributed to the stronger internal electric field and increased dipole moment from the malononitrile modification. These findings highlight the potential of tailored semi‐organic systems for high‐efficiency solar‐to‐hydrogen conversion.
Strain‐Induced Reduction of Centrosymmetry in Rare‐Earth Iron Garnet Thin Films
Authors: Ahamed EMK Ikball , Yamahara Hiroyasu , Sarker Md Shamim , Li Haining , Morikawa Kazuo , Yamagami Kohei , Kobayashi Masaki , Seki Munetoshi , Tabata Hitoshi 
Published: February 2025

AbstractRare‐earth iron garnets (RIG, R3Fe5O12) are insulating ferrimagnets with high inversion symmetry because of their centrosymmetric cubic crystal structure. However, this high centrosymmetry can be reduced by introducing a non‐uniform strain, leading to a tetragonally distorted lattice structure. In this study, the strain‐induced lattice distortions and symmetry‐breaking features are investigated in compressively strained Sm3Fe5O12 and tensile‐strained Lu3Fe5O12 thin films around critical thicknesses. Experiments indicate that tensile strain prevents the in‐plane epitaxy from relaxing, whereas compressive strain leads to easy relaxation after reaching a critical threshold triggered by misfit dislocations. A non‐zero orbital moment, a more than tenfold increase in coercivity, and an increase in Gilbert damping near the critical thickness indicate a reduction of spatial inversion symmetry without forming any misfit dislocations. It is speculated that strain energy in uniformly strained epitaxial thin films has been partially released when the thickness reached about the critical thickness. The proposed strain‐mediated reduction of centrosymmetry may pave the way to achieve controllable magneto‐dynamics in dislocation‐free tensile strained RIG thin films.
Toward High‐Performance Electrochemical Energy Storage Systems: A Case Study on Predicting Electrochemical Properties and Inverse Material Design of MXene‐Based Electrode Materials with Automated Machine Learning (AutoML)
Authors: Alemdag Berna , Saygili Görkem , Franzreb Matthias , Kabay Gözde 
Published: February 2025

AbstractThis study highlights the potential of Automated Machine Learning (AutoML) to improve and accelerate the optimization and synthesis processes and facilitate the discovery of materials. Using a Density Functional Theory (DFT)‐simulated dataset of monolayer MXene‐based electrodes, AutoML assesses 20 regression models to predict key electrochemical and structural properties, including intercalation voltage, theoretical capacity, and lattice parameters. The CatBoost regressor achieves R2 values of 0.81 for intercalation voltage, 0.995 for theoretical capacity as well as 0.807 and 0.997 for intercalated and non‐intercalated in‐plane lattice constants, respectively. Feature importance analyses reveal essential structure‐property relationships, improving model interpretability. AutoML's classification module also bolsters inverse material design, effectively identifying promising compositions, such as Mg2+‐intercalated and oxygen‐terminated ScC2 MXenes, for high‐capacity and high‐voltage energy storage applications. This approach diminishes reliance on computational expertise by automating model selection, hyperparameter tuning, and performance evaluation. While MXene‐based electrodes serve as a demonstrative system, the methodology and workflow can extend to other material systems, including perovskites and conductive polymers. Future efforts should prioritize integrating AutoML with real‐time experimental feedback and hybrid simulation frameworks to create adaptive systems. These systems can iteratively refine predictions and optimize trade‐offs among critical metrics like capacity, stability, and charge/discharge rates, driving advancements in energy storage and other material applications.
All Organic Fully Integrated Neuromorphic Crossbar Array
Authors: Kazemzadeh Setareh , Stevens Tim , van de Burgt Yoeri 
Published: February 2025

AbstractAnalog non‐volatile memory devices, such as electrochemical random‐access memory (ECRAM), have emerged as a promising platform for in‐memory computing, facilitating efficient data processing. In this research, a pioneering approach is presented by introducing an all‐organic and fully integrated crossbar array comprising 3 × 3 ECRAM devices, notable for its facile fabrication employing photolithography techniques and exclusive utilization of organic materials for the devices and resistors. The crossbar array demonstrates remarkable capabilities, enabling inference and in situ parallel training, leading to high accuracy when classifying linearly separable 2D and 3D tasks. Notably, the biocompatible nature of the materials employed in the array offers promising prospects for the development of smart and adaptable bioelectronics that can directly interface with the biological environment.
The nitrogen‐fixing fern Azolla has a complex microbiome characterized by varying degrees of cophylogenetic signal
Authors: Song Michael J. , Freund Forrest , Tribble Carrie M. , Toffelmier Erin , Miller Courtney , Bradley Shaffer H. , Li Fay‐Wei , Rothfels Carl J. 
Published: February 2025

AbstractPremiseAzolla is a genus of floating ferns that has closely evolved with a vertically transmitted obligate cyanobacterium endosymbiont—Anabaena azollae—that fixes nitrogen. There are also other lesser‐known Azolla symbionts whose role and mode of transmission are unknown.MethodsWe sequenced 112 Azolla specimens collected across the state of California and characterized their metagenomes to identify the common bacterial endosymbionts and assess their patterns of interaction.ResultsFour genera were found across all samples, establishing that multiple Azolla endosymbionts were consistently present. We found varying degrees of cophylogenetic signal across these taxa as well as varying degrees of isolation by distance and of pseudogenation, which demonstrates that multiple processes underlie how this endosymbiotic community is constituted. We also characterized the entire Azolla leaf pocket microbiome.ConclusionsThese results show that the Azolla symbiotic community is complex and features members at potentially different stages of symbiosis evolution, further supporting the utility of the Azolla microcosm as a system for studying the evolution of symbioses.