bluuebunny/crossref_metadata_2025_split huggingface dataset:
The influence of different crosslinking agents onto the physical properties, integration behavior and immune response of collagen-based barrier membranes
Authors: Ren Yanru , Alkildani Said , Burckhardt Kim , Köwitsch Alexander , Radenkovic Milena , Stojanovic Sanja , Najman Stevo , Jung Ole , Liu Luo , Barbeck Mike 
Published: January 2025

This study investigates the mechanical properties as well as in vitro and in vivo cyto- and biocompatibility of collagen membranes cross-linked with glutaraldehyde (GA), proanthocyanidins (PC), hexamethylendiisocyanate (HMDI) and 1-Ethyl-3-(3-dimethylaminopropyl) carbodiimide/N-hydroxysuccinimide (EC/NHS). A non-crosslinked membrane was used as reference control (RF). The initial in vitro cytotoxic analyses revealed that the PC, EC, and HMDI crosslinked membranes were cytocompatible, while the GA crosslinked membrane was cytotoxic and thus selected as positive control in the further in vivo study. Cross-linking enhances the tensile strength and collagenase resistance, effectively prolonging the membrane’s standing time in vivo. Using (immune-) histochemistry and histomorphometrical analyses, the cellular inflammatory responses, tissue integration and vascularization patterns at 10-, 30-, and 90-day post-implantation in a subcutaneous implantation model in rats were analyzed. The PC membrane elicited the mildest inflammatory cell levels, akin to the RF membrane, while other groups induced an M1-dominated macrophage response and numerous multinucleated giant cells throughout the study period. EC membranes maintained structural stability up to 30 days post-implantation, similar to the GA group, whereas others collapsed prematurely. Concurrent with membrane collapse, transmembrane vascularization occurred across all groups. Histopathological and histomorphometry results reveal the intricate interplay of inflammatory cell populations in vascularization. These findings offer valuable insights into the pivotal role of cross-linkers in modulating mechanical properties and tissue responses of collagen membranes.
Advancing hybrid ventilation in hot climates: a review of current research and limitations
Authors: Al Niyadi Sheikha , Elnabawi Mahgoub Mohamed H. 
Published: January 2025

IntroductionHybrid ventilation systems present a promising solution for reducing cooling energy consumption in buildings, particularly in hot climates. However, while existing research highlights their potential, variability in reported cooling energy reductions underscores the need for standardized performance evaluation methods.MethodsThis review synthesizes findings from 84 research articles published between 2010 and the first quarter of 2024. The studies include simulation-based analyses, experimental investigations, and real-world case studies sourced from prominent academic databases.ResultsThe review identifies substantial potential for cooling energy reductions through hybrid ventilation systems. However, it also reveals significant variability in energy savings across studies, suggesting that further work is needed to standardize reporting methods for accurate performance comparisons.DiscussionTo address these challenges, this paper proposes a framework integrating Industry 4.0 technologies. The framework emphasizes standardized research methodologies, context-specific design considerations, and robust knowledge dissemination strategies. Artificial Intelligence (AI) is positioned as a critical enabler of innovation, driving design optimization and smart control systems. The proposed framework aims to improve performance assessments, tailor system designs to specific building types and climates, and enable real-time control for enhanced energy efficiency and occupant comfort. This approach has the potential to support the wider adoption and optimized implementation of hybrid ventilation systems, contributing to a more sustainable and energy-efficient built environment, particularly in hot climates.
Association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio and telomere length: the NHANES 1999–2002
Authors: Liu Mingjie , Wang Chendong , Wei Bai 
Published: January 2025

BackgroundThe relationship between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and telomere length (TL) remains unclear. This study aims to investigate their association in a nationally representative US population.MethodsData from 6,342 adults aged ≥20 were obtained from the National Health and Nutrition Examination Survey (NHANES) 1999–2002. The NHHR was calculated and categorized into tertiles. TL was measured as the telomere-to-standard reference DNA ratio. Multivariate linear regression and smooth curve fitting were employed to assess the association between NHHR and TL.ResultsThe study population (mean age 45.1 ± 0.4 years, 48.9% male) was stratified into NHHR tertiles. Compared with the lowest NHHR tertile, the highest NHHR tertile was associated with adverse inflammatory and cardiometabolic profiles, including elevated white blood cell counts (6.88 ± 0.07–7.54 ± 0.08 × 109/L) and increased prevalence of hypertension (18.81%–25.71%) and diabetes (3.38%–7.17%). An elevated NHHR was significantly associated with a shorter TL (T/S ratio: 1.09 ± 0.02–1.03 ± 0.02; P = 0.0005). This association remained significant in partially adjusted models but was attenuated in a fully adjusted model. Significant interactions were observed for age and hypertension status.ConclusionThis study revealed a linear inverse association between NHHR and TL, suggesting the utility of the NHHR as a novel biomarker for biological aging. Further prospective studies are warranted to validate these findings.
Effects of different doses of remimazolam on the quality of sedation and cardiac function in elderly patients: a double-blind randomised controlled study
Authors: Minghong Liu , Feng Qizhu , Chen Huichun , Li Ju , Shi Jun 
Published: January 2025

BackgroundWe intended to observe the effects of different doses of remimazolam besylate via intravenous induction on the quality of sedation and cardiac function in elderly patients.MethodsA total of 135 ASA I–III patients undergoing elective laparoscopic cholecystectomy were selected. They were divided into three groups and they were randomized. Low dose group (Group L): Remimazolam besylate 0.2 mg/kg; middle dose group (Group M): Remimazolam besylate 0.3 mg/kg; High dose group (Group H): Remimazolam besylate 0.4 mg/kg. There were 45 patients in each group. The blood pressure, heart rate, BIS values, cardiac function before induction (T0), after induction (T1) and after intubation (T2), as well as the length of loss of consciousness, duration of sedation, and extubation and adverse events were recorded.ResultsAt T1 and T2, systolic and diastolic blood pressure in Group M were lower than those in Group L, but higher than those in Group H, with statistically significant differences (P &lt; 0.05). At T1 and T2, the BIS value in Group M was lower than that in Group L, with a statistically significant difference (P &lt; 0.05). However, there was no statistically significant difference (P &gt; 0.05) in BIS values between Group M and Group H; At T1 and T2, the cardiac output and stroke volume in Group M were higher than those in Group H, while the systemic vascular resistance in Group M was lower than that in Group H, with statistically significant differences (P &lt; 0.05); The incidences of bucking when moving and hiccup in Group L were higher than those in Group M and Group H, with statistically significant differences (P &lt; 0.05). The number of vasoactive drugs used in Group H was higher than that in Group L and Group M, with statistically significant differences (P &lt; 0.05).ConclusionsGeneral anesthesia induction with remimazolam besylate at 0.3 mg/kg in elderly patients undergoing laparoscopic cholecystectomy showed good quality of sedation, could achieve rapid intubation, with minimal effect on cardiac function and generally favorable safety profile.
Enhanced fibrotic potential of COL1A1hiNR4A1low fibroblasts in ischemic heart revealed by transcriptional dynamics heterogeneity analysis at both bulk and single-cell levels
Authors: Luo Cheng , Tan Baoping , Chu Luoxiang , Chen Liqiang , Zhong Xinglong , Jiang Yangyang , Yan Yuluan , Mo Fanrui , Wang Hong , Yang Fan 
Published: January 2025

BackgroundFibroblasts in the fibrotic heart exhibit a heterogeneous biological behavior. The specific subsets of fibroblasts that contribute to progressive cardiac fibrosis remain unrevealed. Our aim is to identify the heart fibroblast (FB) subsets that most significantly promote fibrosis and the related critical genes as biomarkers for ischemic heart disease.MethodsThe single nuclei RNA sequencing (snRNA-seq) and bulk RNA sequencing datasets used in this study were obtained from the Gene Expression Omnibus (GEO). The activity of gene sets related to progressive fibrosis was quantified for each FB cluster using the AddmoleculeScore function. Differentially expressed genes (DEGs) for the specific cell cluster with the highest fibrotic transcription dynamics were identified and integrated with bulk RNA sequencing data for analysis. Multiple machine learning models were employed to identify the optimal gene panel for diagnosing ischemic heart disease (IHD) based on the intersected DEGs. The effectiveness and robustness of the gene-derived diagnostic tool were validated using two independent IHD cohorts.Subsequently, we validated the signature genes using a rat post-myocardial infarction heart failure model.ResultsWe conducted an analysis on high-quality snRNA-seq data obtained from 3 IHD and 4 cardiac sarcoidosis heart samples, resulting in the identification of 16 FB clusters. Cluster2 exhibited the highest gene activity in terms of fibrosis-related transcriptome dynamics. The characteristic gene expression profile of this FB subset indicated a specific upregulation of COL1A1 and several pro-fibrotic factors, including CCDC102B, GUCY1A3, TEX41, NREP, TCAP, and WISP, while showing a downregulation of NR4A1, an endogenous inhibitor of the TGF-β pathway. Consequently, we designated this subgroup as COL1A1hiNR4A1low FB. Gene set enrichment analysis (GSEA) shows that the gene expression pattern of COL1A1hiNR4A1low FB was closer to pathways associated with cardiac fibrosis. Through machine learning, ten feature genes from COL1A1hiNR4A1low FB were selected to construct a diagnostic tool for IHD. The robustness of this new tool was validated using an independent cohort and heart failure rats.ConclusionCOL1A1hiNR4A1low FB possess heightened capability in promoting cardiac fibrosis. Additionally, it offers molecular insights into the mechanisms underlying the regulation of the TGF-β pathway. Furthermore, the characteristic genes of COL1A1hiNR4A1 FB could serve as valuable tools for diagnosing of IHD.
A novel method for power transformer fault diagnosis considering imbalanced data samples
Authors: Chen Jun , Wang Yong , Kong Lingming , Chen Yilong , Chen Mianzhi , Cai Qian , Sheng Gehao 
Published: January 2025

IntroductionMachine learning-based power transformer fault diagnosis methods often grapple with the challenge of imbalanced fault case distributions across different categories, potentially degrading diagnostic accuracy. To address this issue and enhance the accuracy and operational efficiency of power transformer fault diagnosis models, this paper presents a novel fault diagnosis model that integrates Neighborhood Component Analysis (NCA) and k-Nearest Neighbor (KNN) learning, with the incorporation of correction factors.MethodsThe methodology begins by introducing a correction factor into the objective function of the NCA algorithm to reduce the impact of sample imbalance on model training. We derive a sample parameter correlation quantization matrix from oil chromatography fault data using association rules, which serves as the initial value for the NCA algorithm’s training metric matrix. The metric matrix obtained from training is then applied to perform a mapping transformation on the input data for the KNN classifier, thereby reducing the distance between similar samples and enhancing KNN classification performance. Hyperparameter tuning is achieved through the Bayesian optimization algorithm to identify the model parameter set that maximizes test set accuracy.ResultsAnalysis of the transformer fault case library reveals that the model proposed in this paper reduces diagnostic time by nearly half compared to traditional machine learning diagnosis models. Additionally, the accuracy for minority sample classes is improved by at least 15% compared to other models.DiscussionThe integration of NCA and KNN with correction factors not only mitigates the effects of sample imbalance but also significantly enhances the operational efficiency and diagnostic accuracy of power transformer fault diagnosis. The proposed model’s performance improvements highlight the potential of this approach for practical applications in the field of power transformer maintenance and diagnostics.
Effects of ibuprofen and microplastics on movement, growth and reproduction in the freshwater snail Physella acuta
Authors: Elías Daniel , Ramirez Vieytez Jazmin , Funoy Sayar Morena , Loaisiga Jorge , Harper Ayden , Doll Jason 
Published: January 2025

Emerging contaminants such as microplastics and pharmaceuticals in freshwater ecosystems are a growing concern, seriously affecting aquatic organisms. Ibuprofen, a widely used anti-inflammatory drug, is commonly found in rivers, streams, and water systems where it is discharged. As a result, organisms that inhabit these environments, such as snails, are affected in their natural habitats. This study examines the effects of microplastics (10 μg/L), ibuprofen (500 μg/L), and a combination of ibuprofen (500 μg/L) and microplastics (10 μg/L) on growth, movement, and reproduction in Physella acuta, a freshwater snail species. While no significant effects were observed on movement or number of egg clusters, there was a significant decrease in growth when snails were exposed to microplastics or the combination of microplastics and ibuprofen (p = 0.021). Additionally, snail egg production decreased when exposed to ibuprofen (p = 0.001) but increased when exposed to microplastics (p = 0.002). Microplastic exposure produced more eggs than ibuprofen (p &lt; 0.001) and ibuprofen and microplastics combined (p &lt; 0.001). Our results suggest that ibuprofen affects growth and the total number of eggs, likely due to oxidative stress, neurotoxicity, or disrupted hormonal pathways. In contrast, microplastics may have caused digestive system blockage, thus affecting energy allocation for growth and reproduction. Changes in snail fitness can directly and indirectly affect food webs and nutrient cycles, highlighting the need for research on these pollutants to understand their chronic and long-term effects on ecosystems.
Differential regulation of apoptosis-related genes during long-term culture and differentiation of canine adipose-derived stem cells - a functional bioinformatical analysis
Authors: Jankowski Maurycy , Stefańska Katarzyna , Suchodolski Michał , Dompe Claudia , Wąsiatycz Grzegorz , Kempisty Bartosz , Nowicki Michał , Roszak Magdalena 
Published: January 2025

IntroductionStem cells derived from adipose tissue are gaining popularity in the field of regenerative medicine due to their adaptability and clinical potential. Their rapid growth, ability to differentiate, and easy extraction with minimal complications make adipose-derived stem cells (ADSCs) a promising option for many treatments, particularly those targeting bone-related diseases. This study analyzed gene expression in canine ADSCs subjected to long-term culture and osteogenic differentiation.MethodsADSCs were isolated from discarded surgical waste and cultured for 14 days with and without differentiation media to assess osteogenic changes. RNA sequencing (RNA-seq) and bioinformatical analysis were performed to obtain comprehensive transcriptomic data. A total of 17793 genes were detected and GO enrichment analysis was performed on the differentially expressed genes to identify significantly up- and downregulated Biological Process (BP) GO terms across each comparison.ResultsThe upregulation of apoptosis-regulating genes and genes related to circulatory system development suggest an induction of these processes, while the downregulation of neurogenesis and gliogenesis genes points to reciprocal regulation during osteogenic differentiation of canine ADSCs.DiscussionThese findings underscore the potential of ADSCs in bone regeneration and offer valuable insights for advancing tissue engineering, however further studies, including proteomic analyses, are needed to confirm these patterns and their biological significance.
A breeding method for Ogura CMS restorer line independent of restorer source in Brassica napus
Authors: Wang Xuesong , Liang Xingyu , Wang Rui , Gao Yuan , Li Yun , Shi Haoran , Gong Wanzhuo , Saleem Saira , Zou Qiong , Tao Lanrong , Kang Zeming , Yang Jin , Yu Qin , Wu Qiaobo , Liu Hailan , Fu Shaohong 
Published: January 2025

The Ogura cytoplasmic male sterility (CMS) line of Brassica napus has gained significant attention for its use in harnessing heterosis. It remains unaffected by temperature and environment and is thorough and stable. The Ogura cytoplasmic restorer line of Brassica napus is derived from the distant hybridization of Raphanus sativus L. and B. napus, but it carried a large number of radish fragments into Brassica napus, because there is no homologous allele of the restorer gene in B. napus, transferring it becomes challenging. In this study, the double haploid induction line in B. napus was used as the male parent for hybridization with the Ogura CMS of B. napus. Surprisingly, fertile plants appeared in the offspring. Further analysis revealed that the cytoplasmic type, ploidy, and chromosome number of the fertile offspring were consistent with the sterile female parent. Moreover, the mitochondrial genome similarity between the fertile offspring and the sterile female parent was 97.7% indicates that the cytoplasm of the two is the same, while the nuclear gene difference between fertile offspring and sterile female parent was only 10.33%, indicates that new genes appeared in the offspring. To further investigate and locate the restorer gene, the BSA method was employed to construct extreme mixed pools. As a result, the restorer gene was mapped to three positions: A09 chromosome 10.99–17.20 Mb, C03 chromosome 5.07–5.34 Mb, and C09 chromosome 18.78–36.60 Mb. The experimental results have proved that induction does produce restorer genes. The induction of the Ogura CMS restorer gene through DH induction line provides a promising new approach for harnessing heterosis in B. napus.
Chemokine family significance and prognostic value in colorectal cancer
Authors: Ding Yi , Chen Yinnan , Xie Siyun , Qiu Quanpeng , Guo Xiaolong , Feng Yun , Li Hongxia , Zhu Fang , Liu Yaping 
Published: January 2025

BackgroundColorectal cancer (CRC) poses a substantial global health concern, exhibits inconspicuous early symptoms, and is typically diagnosed at advanced stages leading to unfavorable outcomes. The intricate tumor microenvironment plays a crucial role in CRC development and progression, where chemokines contribute significantly. These chemokines exhibit widespread expression within tumor cells, facilitating immune cell infiltration, angiogenesis, and the establishment of distant metastases. The dysregulation of various chemokines in the context of CRC has emerged as a pivotal factor in the disease's pathogenesis.MethodsTo explore the relationship between chemokine gene expression and CRC patient survival, as well as to clarify their biological roles,We conducted RNA-sequencing (RNA-seq) analysis on a cohort of 88 CRC patients with tumor samples, thereby enabling a detailed exploration of chemokine involvement in CRC. This study was rigorously augmented using comprehensive datasets from The Cancer Genome Atlas (TCGA), ensuring a robust analysis of gene expression patterns associated with clinical outcomes.ResultsThrough data analysis, we identified key genes from the chemokine family thought pertinent to CRC outcomes. Consequently, we constructed a novel prognostic model based on the risk score derived from these chemokine expressions. Validation against clinical metadata, executed through immunohistochemistry analysis, affirmed the relevance and accuracy of our model in predicting patient survival.ConclusionOur findings illuminate the critical role of chemokines in shaping the immune microenvironment of CRC, thereby highlighting potential therapeutic targets for future treatment strategies. Our new prognostic model could provide important information for the development of targeted therapies for CRC, enhancing personalized treatment approaches andultimately improving survival for CRC patients.
Single-cell transcriptome atlas of peripheral immune features to Omicron breakthrough infection under booster vaccination strategies
Authors: Zhang Yuwei , Han Shanshan , Sun Qingshuai , Liu Tao , Wen Zixuan , Yao Mingxiao , Zhang Shu , Duan Qing , Zhang Xiaomei , Pang Bo , Kou Zengqiang , Jiang Xiaolin 
Published: January 2025

IntroductionThe high percentage of Omicron breakthrough infection in vaccinees is an emerging problem, of which we have a limited understanding of the phenomenon.MethodsWe performed single-cell transcriptome coupled with T-cell/B-cell receptor (TCR/BCR) sequencing in 15 peripheral blood mononuclear cell (PBMC) samples from Omicron infection and naïve with booster vaccination.ResultsWe found that after breakthrough infection, multiple cell clusters showed activation of the type I IFN pathway and widespread expression of Interferon-stimulated genes (ISGs); T and B lymphocytes exhibited antiviral and proinflammatory-related differentiation features with pseudo-time trajectories; and large TCR clonal expansions were concentrated in effector CD8 T cells, and clonal expansions of BCRs showed a preference for IGHV3. In addition, myeloid cells in the BA.5.2 breakthrough infection with the fourth dose of aerosolized Ad5-nCoV were characterized by enhanced proliferation, chemotactic migration, and antigen presentation.DiscussionCollectively, our study informs the comprehensive understandings of immune characterization for Omicron breakthrough infection, revealing the positive antiviral potential induced by booster doses of vaccine and the possible "trained immunity" phenomenon in the fourth dose of aerosolized Ad5-nCoV, providing a basis for the selection of vaccination strategies.