bluuebunny/crossref_metadata_2025_split huggingface dataset:
One 3D Zn‐MOF for Fluorescence Sensing and Visualization Detection of Biomarker and Antibiotic
Authors: Liu Tingting , Ji Mengna , Hao Hongguo , Dou Jianmin , Yan Hui , Jiang Jingjing , Li Yunwu , Wang Suna 
Published: February 2025

ABSTRACTOne 3D Zn‐MOF, namely, {[Zn2(L)(OH)(DMF)]}n was selected based on the flexible ether oxygen carboxylic acid 3‐(3,5‐dicarboxylatobenzyloxy)benzoic acid (H3L). Zn‐MOF was able to specifically recognize the biomarker methylmalonic acid (MMA) and antibiotic tetracycline (TC) through fluorescence enhancement and ratio mechanism, with the detection limits (LOD) as low as 1.29 and 0.26 μM, respectively. It also has high selectivity and rapid response characteristics. In particular, the visual detection was significantly enhanced in the presence of Tb3+ through antenna effect. To explore the potential application, fluorescent test strips and mixed matrix membrane (MMM) were successfully prepared to realize visual detection. The recovery rates of MMA and TC in simulated urine and actual water systems were 95.3%–100.5% and 93.5%–94.7%, respectively, indicating that Zn‐MOF provided the possibility for detecting biomarker and antibiotic in practical systems.
Plasma proteomic profiles predict individual future osteoarthritis risk
Authors: Kang Zijian , Zhang Jianzheng , Liu Wenxin , Zhu Chen , Zhu Ying , Li Ping , Li Kai , Tong Qiang , Dai Sheng‐Ming 
Published: February 2025

ObjectiveOsteoarthritis (OA) is a widespread degenerative joint disease that causes a considerable socioeconomic burden. Despite progress in genetic and environmental insights, early diagnosis is still limited by the lack of evident symptoms during the initial phases and accurate biomarkers. This study aims to identify plasma proteins associated with future risk of OA and develop a predictive model.MethodsWe conducted a large‐scale proteomic analysis of 45,307 participants from the UK Biobank, excluding those with baseline OA. Plasma samples were assayed using the Olink Explore Proximity Extension Assay targeting 1,463 unique proteins. Clinical variables and OA outcomes were extracted and linked to electronic health records. A predictive model was constructed using the LightGBM machine learning method, and the SHapley Additive exPlanations (SHAP) were applied to evaluate the importance of variables.ResultsWe identified a panel of proteins significantly associated with the risk of developing OA. Notably, after adjusting for multiple confounders, Collagen Type IX Alpha 1 Chain (COL9A1) and Cartilage Acidic Protein 1 (CRTAC1) were the most significant predictors of incident OA, with hazard ratios (HR) of 1.54 (95% confidence interval [CI]:1.48‐1.61) and 1.65 (95% CI:1.54‐1.78), respectively. SHAP analysis allowed a profound interpretation of the contribution of each protein and clinical variable to the model, revealing the multifactorial nature of OA risk prediction. The temporal trajectories of plasma proteins indicated that the levels of COL9A1 and CRTAC1 began to deviate from normal for more than a decade before OA onset, suggesting their potential use in early detection strategies. The predictive model, developed using the LightGBM algorithm, integrated proteins with clinical covariates and demonstrated an area under the curve (AUC) of 0.729 for 5‐year OA prediction, 0.721 for 10‐year prediction, and 0.723 for all incident OA. The predictive accuracy of the model was further enhanced for hip and knee OA, achieving AUCs of 0.820 and 0.803 for 5‐year predictions.ConclusionOur study identified the role of plasma proteomics in predicting future OA risk, which could contribute to preemptive measures. The innovative model, which integrates proteomic biomarkers with clinical data, offers a potential tool for risk assessment, potentially optimizing OA management strategies and enhancing prevention efforts.
Methionine Restriction Exerts Anti‐Tumor Immunity via Joint Intervention of T‐Bet Palmitoylation in Gastric Cancer
Authors: Xin Lin , Xu He‐Song , Fan Luo‐Jun , Liu Chuan , Zou Yong‐Hui , Zhou Qi , Yue Zhen‐Qi , Gan Jin‐Heng , Liu Jiang 
Published: February 2025

ABSTRACTBackgroundMethionine restriction (MR) exerts an anti‐tumor immunomodulatory role. Th1 cells facilitate CD8+ cytotoxic T cell activation and targeted tumor cell killing. Our previous work shows that MR enhances the immunotherapy effect of PD‐L1/PD‐1 blockade on gastric cancer, MR can simultaneously inhibit Th1 cell differentiation, which may affect their synergistic therapeutic outcome. We aim to elucidate the molecular mechanism of MR regulating Th1 cell activation in gastric cancer.MethodsMurine Foregastric Carcinoma (MFC) cells were injected into 615 mice to establish transplanted tumor models, which were then treated with an MR diet or combined with 2‐bromopalmitate (2‐BP). CD4+T cells were cultured with deficient methionine. The acyl‐biotinyl exchange (ABE) method was to detect T‐bet palmitoylation and cycloheximide experiments to detect protein stability. GPS‐Palm tool was employed to screen palmitoyltransferases. The impact of T‐bet palmitoylation on the pro‐tumor‐killing effect of Th1 cells was examined.ResultsMR enhanced anti‐PD‐1's inhibition of tumor growth, while concurrently suppressing the increased Th1 cells. Combined with 2‐BP further inhibited tumor and increased Th1 cells. Suppressing Th1 activity attenuated 2‐BP's synergistic therapeutic effect and reduced CD8+ GZMB+ T cells. MR inhibited Th1 differentiation by reducing T‐bet expression, 2‐BP treatment restored, while T‐bet interference reversed 2‐BP's effect. MR increased palmitoylation and T‐bet underwent palmitoylation modification. ZDHHC23 mediated T‐bet palmitoylation and promoted T‐bet degradation. MR promoted T‐bet degradation, thereby decreasing T‐bet content, inhibiting Th1 cell polarization and CD8+ T cell killing effect.ConclusionsMR combined with T‐bet palmitoylation intervention promotes Th1 polarization and CD8+ T cell toxicity, thereby enhancing anti‐tumor immunity in gastric cancer.
Use of Whole Cells and Cell‐Free Extracts of Catalase‐Deficient E. coli for Peroxygenase‐Catalyzed Reactions
Authors: Ebrecht Ana C. , Luelf U. Joost , Govender Kamini , Opperman Diederik J. , Urlacher Vlada B. , Smit Martha S. 
Published: February 2025

ABSTRACTUnspecific peroxygenases (UPOs) and cytochrome P450 monooxygenases (CYPs) with peroxygenase activity are becoming the preferred biocatalysts for oxyfunctionalization reactions. While whole cells (WCs) or cell‐free extracts (CFEs) of Escherichia coli are often preferred for cofactor‐dependent monooxygenase reactions, hydrogen peroxide (H2O2) driven peroxygenase reactions are generally performed with purified enzymes, because the catalases produced by E. coli are expected to quickly degrade H2O2. We used the CRISPR/Cas system to delete the catalase encoding chromosomal genes, katG, and katE, from E. coli BL21‐Gold(DE3) to obtain a catalase‐deficient strain. A short UPO, DcaUPO, and two CYP peroxygenases, SscaCYP_E284A and CYP102A1_21B3, were used to compare the strains for peroxygenase expression and subsequent sulfoxidation, epoxidation, and benzylic hydroxylation activity. While 10 mM H2O2 was depleted within 10 min after addition to WCs and CFEs of the wild‐type strain, at least 60% remained after 24 h in WCs and CFEs of the catalase‐deficient strain. CYP peroxygenase reactions, with generally lower turnover frequencies, benefited the most from the use of the catalase‐deficient strain. Comparison of purified peroxygenases in buffer versus CFEs of the catalase‐deficient strain revealed that the peroxygenases in CFEs generally performed as well as the purified proteins. We also used WCs from catalase‐deficient E. coli to screen three CYP peroxygenases, wild‐type SscaCYP, SscaCYP_E284A, and SscaCYP_E284I for activity against 10 substrates comparing H2O2 consumption with substrate consumption and product formation. Finally, the enzyme‐substrate pair with highest activity, SscaCYP_E284I, and trans‐β‐methylstyrene, were used in a preparative scale reaction with catalase‐deficient WCs. Use of WCs or CFEs from catalase‐deficient E. coli instead of purified enzymes can greatly benefit the high‐throughput screening of enzyme or substrate libraries for peroxygenase activity, while they can also be used for preparative scale reactions.
Accounting for Renewable Energy: Investigating Emerging Topics and Research Pathways
Authors: De Villiers Charl , Principale Salvatore , Galeotti Rubina Michela , Cicchini Daniela 
Published: February 2025

ABSTRACTThis paper presents a structured and systematic literature review (SLR) and critique of the literature on the opportunities and challenges of accounting, auditing, and renewable energy sources to identify trends and research streams and construct an agenda for future research. We collected a corpus of 229 academic articles searching in the 89 Chartered Association of Business School (CABS) accounting journals ranked 1, 2, 3, 4, and 4* over a period of 22 years. A total of 32 academic articles were included in the core analysis showing a total number of 2418 citations. We identify three research streams, namely 1) sustainability accounting and accounting for renewable energy; 2) the relationship between accounting, institutions, and the environment; and 3) environmental accounting, management, and sustainable development. The main theoretical and practical implications of this paper's findings are that the role of accounting and auditing for renewable energy is a prominent research topic for academics, practitioners, decision‐makers, and policy‐makers to consider.
Doxorubicin Plus Dacarbazine Versus Doxorubicin Plus Ifosfamide in Combination With Regional Hyperthermia in Patients With Advanced Leiomyosarcoma: A Propensity Score‐Matched Analysis
Authors: Berclaz Luc M. , Jurinovic Vindi , Burkhard‐Meier Anton , Abdel‐Rahman Sultan , Albertsmeier Markus , Klein Alexander , Dürr Hans Roland , Schmidt‐Hegemann Nina‐Sophie , Knösel Thomas , Kunz Wolfgang G. , Stutz Emanuel , von Bergwelt‐Baildon Michael , Di Gioia Dorit , Lindner Lars H. 
Published: February 2025

ABSTRACTBackgroundDacarbazine is currently considered the better combination partner for doxorubicin compared to ifosfamide for the treatment of leiomyosarcoma (LMS). Regional hyperthermia (RHT) combined with neoadjuvant chemotherapy has been shown to improve survival in patients with locally advanced high‐risk STS. We sought to evaluate the role of doxorubicin and dacarbazine (AD) versus doxorubicin and ifosfamide (AI) in combination with RHT in patients with LMS.MethodsPatients with locally advanced high‐grade LMS, including limited metastases, eligible for RHT and first‐line treatment with either AI + RHT or AD + RHT between 2014 and 2022 were retrospectively evaluated. Endpoints were progression‐free survival (PFS) and overall survival (OS). Patients were matched using propensity scores, which were estimated with a logistic regression model accounting for tumor site, presence of metastasis, surgery, and radiotherapy.ResultsA total of 105 patients were included in this study, of which 101 were included in the propensity score‐matched cohort. In the matched cohort, treatment with AD + RHT was associated with a significantly improved PFS (HR 0.32, 95% CI 0.13–0.74, p = 0.0081). Multivariable analysis revealed several significant predictors of PFS, including treatment with AD + RHT (HR 0.42, 95% CI 0.19–0.92, p = 0.031).ConclusionTreatment with AD + RHT showed improved PFS and better treatment tolerability compared to AI + RHT. Our results support the use of AD instead of AI for the treatment of patients with LMS in combination with RHT.
A Rapidly Growing Giant Vulvar Fibroma on the Right Labia Majora: A Rare Case Report
Authors: Samha Raghad , Raya Maria , Wardeh Abdulkareem Muhammad , Ibrahem Ali Mohammad , Abo Moughdeb Aimar Khir , Alasmar Ola Emad , Alnajjad Wasim Nazih 
Published: February 2025

ABSTRACTVulvar fibroma typically has small sizes that do not exceed 5 cm and grows slowly. However, in rare cases, it can grow rapidly and reach giant sizes.
Energy Transfer‐Mediated, Triplet Excited State Proton Transfer‐Enabled Dearomatization of Indole Derivatives with Amide Functionalities
Authors: Yang Li , Pan Yi , Zhang Peng , Shi Liping , Huang Sheng , Shu Yijing , Zhang Zhijie , Gong Yimou , Wang Li , Lau Kai‐Chung , Fu Qiang 
Published: February 2025

Comprehensive SummaryThe dearomatization of indole derivatives bearing amide functionalities presents a significant challenge due to the inherent stability of the amide carbonyl group, resulting from nitrogen lone‐pair delocalization that imparts increased resonance stabilization. In this study, we report a visible‐light photocatalytic intramolecular dearomatization of indole derivatives with amide groups, achieving the synthesis of spiroindolines via energy transfer. This method enables the efficient formation of a range of hydroxyl‐substituted spiroindolines in moderate to high yields, with excellent diastereoselectivity (> 20 : 1) under mild reaction conditions. Control experiments confirmed the involvement of an energy transfer pathway in the reaction mechanism. Density Functional Theory (DFT) calculations further revealed π‐π stacking interactions between the indole core and pyridine ring, along with the strengthening of hydrogen bonding between the pyridine nitrogen and hexafluoroisopropanol (HFIP) in the excited state. These interactions facilitated the energy transfer‐mediated triplet excited state intramolecular proton transfer (T‐ESPT), crucial for activating the otherwise amide functionality. This protocol represents a rare example of harnessing the reactivity of amide groups for dearomative transformations.
Plant diversity facets differentially affect energy dynamics in grasslands depending on trophic contexts
Authors: Buzhdygan Oksana Y. , Tietjen Britta , Petermann Jana S. , Eisenhauer Nico , Hines Jes , Schmid Bernhard , Baldauf Selina , Ebeling Anne , Scherber Christoph , Buchmann Nina , Borrett Stuart R. , de Kroon Hans , Weisser Wolfgang , Meyer Sebastian T. 
Published: February 2025

AbstractThe strength of biodiversity–ecosystem functioning (BEF) relationships varies within and across studies, depending on the investigated ecosystem function and diversity facet (e.g., species richness or functional composition), limiting our ability to translate BEF results into recommendations for management and conservation. The variability in BEF relationships is particularly high when considering complex multitrophic communities and can be explained by food web contexts. Here we examine how different plant diversity facets affect biomass stocks and energy flows of each trophic group depending on their position in the trophic network. We used coupled aboveground–belowground multitrophic networks of energy dynamics, assembled across the experimental gradients of grassland plant species richness, functional diversity, and presence of plant functional groups. We compared the strengths of these diversity effects between trophic groups, trophic levels, aboveground versus belowground subnetworks, and types of ecosystem functions. Plant species richness, functional trait diversity, and the presence of legumes and grasses were influential drivers of ecosystem energetics. The effects of plant species richness across the food web often operated through mechanisms of plant functional‐trait diversity. The effects of plant species richness attenuated across trophic levels. Legume presence strengthened the top‐down control (predation) of primary consumers. We found an overall mismatch in the strength of diversity effects on flows versus stocks. Some trophic groups showed even contrasting direction in responses of their stocks and flows to plant diversity. This indicates that plant diversity constrains consumer functioning by means other than only altered consumer biomass. Responses of flows and stocks to plant diversity differed between trophic groups, and aboveground versus belowground parts. Individual stocks and energy flows were responsive to different biodiversity facets, highlighting the importance of the explicit consideration of individual functions and diversity facets for a comprehensive multitrophic understanding. For example, legume presence increased aboveground processes but reduced plant carbon uptake and belowground plant production. Plant communities containing legumes lost more biomass to herbivores, had faster decomposition, and channeled less energy to soil detritus. An important implication of these results is that targeted grassland management would profit from focusing on specific plant diversity facets depending on the ecosystem function or service of interest.
Kelp forests as nursery and foundational habitat for reef fishes
Authors: Pérez‐Matus Alejandro , Micheli Fiorenza , Konar Brenda , Shears Nick , Low Natalie H. N. , Okamoto Daniel K. , Wernberg Thomas , Krumhansl Kira A. , Ling Scott D. , Kingsford Michael , Navarrete‐Fernandez Teresa , Ruz Catalina S. , Byrnes Jarrett E. K. 
Published: February 2025

AbstractConservation of marine biodiversity requires an understanding of the habitats needed to support and replenish species of interest. It also requires knowledge about the abundance and diversity of multispecies assemblages. Variation in the distribution and composition of kelp forests, one of the most productive marine coastal habitats globally, can have major influences on reef fishes—a group of ecologically and socioeconomically important species. In the face of widespread and escalating loss of kelp forests, quantification of these effects is urgently needed to assess and project cascading impacts on biodiversity. Here, we evaluate relationships between kelp forests and associated reef fish populations using a global meta‐analysis of experimental kelp removals and comparative surveys of kelp and adjacent non‐kelp habitats. These analyses show that kelp forests increase the abundance of reef fishes, though the significance of this effect varied depending on the structural complexity of kelp forests. In experimental studies, kelp forests have a significant positive effect on fish species richness, revealing that kelp act as true foundation species by supporting the diversity of associated multispecies assemblages. Importantly, regardless of kelp forest morphology and type of study (observational or experimental studies), kelp forests enhance the recruitment of early life history stages suggesting they are nursery habitats for many reef fish taxa. Lastly, kelp forests differentially affected species with different functional traits; small body size fishes from low trophic levels (e.g., herbivore and detritivores, micropredators, and mesopredators) and large body size fish from higher trophic level (e.g., piscivores, general carnivores) were both facilitated by kelp forests. Taken together, these results indicate that the loss of kelp forest, particularly those with more complex morphology, can reduce total abundance and diversity of fish, with possible cascading consequences for coastal ecosystem function.
New Parametric Approach for Modeling Hydrological Data: An Alternative to the Beta, Kumaraswamy, and Simplex Models
Authors: De Andrade Thiago A. N. , Gomes‐Silva Frank , Ghosh Indranil 
Published: February 2025

ABSTRACTWe propose a new approach of continuous distributions in the unit interval, focusing on hydrological applications. This study presents the innovative two‐parameter model called modified exponentiated generalized (MEG) distribution. The efficiency of the MEG distribution is evidenced through its application to 29 real datasets representing the percentage of useful water volume in hydroelectric power plant reservoirs in Brazil. The model outperforms the beta, simplex, and Kumaraswamy (KW) distributions, which are widely used for this type of analysis. The connection of our proposal with classical distributions, such as the Fréchet and KW distribution, broadens its applicability. While the Fréchet distribution is recognized for its usefulness in modeling extreme values, the proximity to KW allows a comprehensive analysis of hydrological data. The simple and tractable analytical expressions of the MEG's density and cumulative and quantile functions make it computationally feasible and particularly attractive for practical applications. Furthermore, this work highlights the relevance of the related reflected model: the reflected modified exponentiated generalized distribution. This contribution is expected to improve the statistical modeling of hydrological phenomena and provide new perspectives for future scientific investigations.
Bladder Pain Syndrome With Repeated Bladder Hydrodistention—A Case of Functional Somatic Syndrome Considered in Relation to Alexithymia
Authors: Wada Naoki , Hatakeyama Tsubasa , Ishimaru Taichiro , Tsunekawa Ryoken , Miyauchi Kotona , Kikuchi Daiki , Kitta Takeya , Watanabe Masaki 
Published: February 2025

ABSTRACTIntroductionWe present a patient with bladder pain syndrome (BPS) who underwent repeated bladder hydrodistentions.Case PresentationA female patient visited our department because of refractory bladder pain. She was diagnosed with BPS; she had only mucosal bleeding after distention. Her bladder pain improved after hydrodistention; however, the symptoms flared up within a few months. She also consulted with the palliative care department and was diagnosed with chronic pain associated with alexithymia. Various drugs were administered; however, none were effective or continued because of side effects. It was also challenging for her to embrace introspective counseling. Ultimately, along with her strong desire, the hydrodistention continued every few months. Her bladder capacity was approximately 200 mL.ConclusionBPS with uncontrolled bladder pain may be a functional somatic syndrome associated with alexithymia, and interventions such as psychosomatic medicine could be necessary from the early stage.
Microfluidic Systems in Cancer Diagnosis: Advancing Exosome and CTC Detection From Laboratory Research to Clinical Application
Authors: Saghezi Bahareh Valinezhad , Mansouri Kamran , Hallaj Rahman 
Published: February 2025

ABSTRACTThis review aims to enable a rapid diagnosis of early‐stage cancer by examining the developments and methods used to collect specific cancer biomarkers, namely, exosomes and circulating tumor cells (CTCs), using microfluidic devices. High throughput, low response time, and accurate control of liquid flow are advantages of microfluidic devices compared to traditional technologies, which often suffer from disadvantages of high cost, time‐consuming procedures, and labor‐intensive processes. Microfluidic‐based approaches have the potential to improve early cancer detection and personalized treatment strategies by efficiently collecting and isolating CTCs and extracellular vesicles (EVs), which provide critical information about cancer progression and the response to treatment. An important step toward leveraging these advances and bringing them to clinical use is ensuring portability to the patient's bedside, that is, integrating point‐of‐care (POC) diagnostics with microfluidic technologies. In this article, we first provide a background on cancer and its markers, cancer biology, and liquid biopsies and their benefits in microfluidic systems in diagnosis. Next, we discuss the importance of the basics of microfluidics, techniques based on it in the detection of EVs and CTCs in advancing cancer research and their benefits, as well as integrating systems POC with microfluidic platforms for bedside applications.