bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pancreatic cancer cell- and cancer-associated fibroblast-derived exosomes in disease progression, metastasis, and therapy
Authors: Chen Yijun , Kleeff Jörg , Sunami Yoshiaki 
Published: July 2024

AbstractExosomes play a crucial role in the progression and spread of pancreatic cancer, serving not only as promoters of tumor growth and organ-specific metastasis but also as promising biomarkers and targets for treatment. These nano vesicles enhance intercellular communication by transferring bioactive molecules, such as proteins and RNAs, between cells. This process significantly affects cancer cell dynamics, including their proliferation, migration, and invasion, while also contributing to drug resistance. Our review focuses on the crucial interactions between cancer cells and fibroblasts mediated by exosomes within the pancreatic cancer microenvironment. We delve into how exosomes from both cancer-associated fibroblasts and the cancer cells themselves drive tumor progression through various mechanisms, such as epithelial-mesenchymal transition and facilitating metastasis to specific organs like the lungs and liver. The potential of leveraging exosomes for therapeutic interventions is also explored, highlighting the importance of understanding their role in cell communication as a step forward in developing more effective pancreatic cancer treatments.
Predicting lymph node metastasis in colorectal cancer patients: development and validation of a column chart model
Authors: Niu Xiaoqiang , Cao Jiaqing 
Published: July 2024

AbstractLymph node metastasis (LNM) is one of the crucial factors in determining the optimal treatment approach for colorectal cancer. The objective of this study was to establish and validate a column chart for predicting LNM in colon cancer patients. We extracted a total of 83,430 cases of colon cancer from the Surveillance, Epidemiology, and End Results (SEER) database, spanning the years 2010–2017. These cases were divided into a training group and a testing group in a 7:3 ratio. An additional 8545 patients from the years 2018–2019 were used for external validation. Univariate and multivariate logistic regression models were employed in the training set to identify predictive factors. Models were developed using logistic regression, LASSO regression, ridge regression, and elastic net regression algorithms. Model performance was quantified by calculating the area under the ROC curve (AUC) and its corresponding 95% confidence interval. The results demonstrated that tumor location, grade, age, tumor size, T stage, race, and CEA were independent predictors of LNM in CRC patients. The logistic regression model yielded an AUC of 0.708 (0.7038–0.7122), outperforming ridge regression and achieving similar AUC values as LASSO regression and elastic net regression. Based on the logistic regression algorithm, we constructed a column chart for predicting LNM in CRC patients. Further subgroup analysis based on gender, age, and grade indicated that the logistic prediction model exhibited good adaptability across all subgroups. Our column chart displayed excellent predictive capability and serves as a useful tool for clinicians in predicting LNM in colorectal cancer patients.
From curiosity to wonder in religious education
Authors: Corcoran Paul 
Published: July 2024

AbstractThis study argues that religious education is uniquely positioned to resist and transcend contemporary dialectics of wonder that serve to diminish, commodify, or instrumentalize the place of wonder in society today. Wonder is traditionally characterized by a sense of importance that accompanies our encounters with mystery. In a world less comfortable with interiority and less willing to accept the sense of ignorance true wonder presupposes, the contemplative element of wonder has largely evaporated, to be replaced by a more fleeting (Schinkel in Stud Philos Educ 39(5):479–492, 2019, 481) and less challenging ‘curiosity’. Curiosity favours mastery over mystery; it elides the puzzlement or contemplation inherent in traditional understandings of wonder. In pedagogical settings, curiosity is increasingly advanced at a catalyst that motivates and directs the inquiry of the learner. However, educational literature continues to note a worrying absence of any kind of wonder in classrooms today (Jirout et al. in Front Psychol 13:875161, 2022. https://doi.org/10.3389/fpsyg.2022.875161). This study will suggest that the advancement of wonder as curiosity in education only reinforces the very sense of apathy it is designed to counteract in its students. If wonder is recast as curiosity—a ‘skill’ that leads reliably to the ‘right answer’—students will inevitably find quicker, more efficient means to arrive at the required information. Religious education is uniquely equipped to supplement inquisitive curiosity with a more contemplative wonder that eschews easy answers. In doing so, it would equip students to grapple with what modern society has become so adept at evading: the “stubborn there-ness” (Arendt in Medina J, Wood D (eds) Truth: engagements across philosophical traditions. Blackwell Publishing, London, 2005, p. 310) of mystery that characterizes the most meaningful questions of our existence.
Application of digital image correlation in aerospace engineering: structural health monitoring of aircraft components
Authors: Mallya Ravindra , Uchil Amol Kiran , Shenoy Satish B. , Pai Anand 
Published: July 2024

AbstractDigital Image Correlation (DIC) is a vital optical measurement technique that finds diverse applications in the domain of mechanics of materials. In aerospace applications, DIC has excellent scope in structural health monitoring of aircraft components. Aircraft wings, one of the critical components are subjected to different loads during flight. Ground testing and In-flight testing of wings can benefit substantially by DIC monitoring. DIC can be utilized to analyze the time-based variation in the speckle pattern or grid, applied to the wing’s surface. High-resolution images processed through a suitable correlation software helps decipher the data into stress and strain contours. Thus, any potential material failure or component defects can be identified. DIC also finds a role in flutter analysis, enabling the scrutiny of wing vibrations and deformations. In this review, the applications of DIC in analysis of aircraft components has been taken up, as in-flight structural health monitoring is a critical activity for a safe flight.
Recent advances in the treatment of pancreatic cancer
Authors: Ma Yongsu , Zhang Fusheng , Yang Yinmo 
Published: July 2024

AbstractPancreatic cancer (PC) is one of the most aggressive gastrointestinal malignancies, characterized by rapid progression and early onset of metastasis, leading to a dismal prognosis for patients. In the recent past, substantial progress has been conducted recently in managing PC, encompassing various treatment modalities such as chemotherapy, neoadjuvant therapy, targeted therapy, and immunotherapy. Particularly in 2023, several noteworthy studies have contributed to optimizing neoadjuvant treatment regimens and exploring novel approaches that involve targeted therapies and immunotherapies for PC. These advancements hold promise for improving overall survival outcomes and enhancing quality of life for patients with pancreatic cancer. This commentary summarizes the new advances in systemic therapy for pancreatic cancer in 2023.
The impact of improved beehive technology adoption on rural household income, consumption expenditure and asset wealth in Wonchi districts, Ethiopia
Authors: Mosisa Tegegn Defar , Hordofa Dereje Fedasa 
Published: July 2024

AbstractThe objective of this study was to evaluate the effects of adopting enhanced beehive technology on the welfare of rural households engaged in beekeeping activities in Ethiopia. We examined the impact of adopting enhanced beehive technology on welfare outcomes in the Wonchi districts using a two-stage random selection process and propensity score matching (PSM) methodology. This research offers novel perspectives on the adoption of enhanced beehive technology and its influence on household welfare outcomes in the field of beekeeping. It employs a comprehensive analysis that takes into account several dimensions, such as income, welfare, and spending. Our research findings indicate that several characteristics have a favorable impact on the adoption of enhanced beehive technology. These factors include the gender of the household head, the size of the land, the marital status of the household head, as well as the availability of extension services, input and credit services, and the total number of animals owned. On the other hand, age, dependency ratio, and proximity to farmer training facilities negatively impact the adoption of technology. The analysis using Propensity Score Matching (PSM) methodology demonstrated that the adoption of technology had a favorable influence on the income, wealth, non-food expenditure, and food expenditure of households. However, it is important to acknowledge some limitations. As the study relied on cross-sectional data from a specific region, its findings may not be generalizable to other locations or time periods. Additionally, self-reported data is subject to biases. Other potential limitations are the omission of other factors that could influence welfare outcomes and limited assessment of long-term sustainability. Based on our research results, policymakers should prioritize efforts to understand the determinants that facilitate the acceptance and utilization of enhanced beehive technologies in order to enhance the overall well-being of rural households. Further research is needed to address the study limitations.
Air Pollution and Blood Pressure: Evidence From Indonesia
Authors: Madrigano Jaime , Yan Daisy , Liu Tianjia , Bonilla Eimy , Yulianti Nina , Mickley Loretta J. , Marlier Miriam E. 
Published: July 2024

AbstractIndonesia faces significant air quality issues due to multiple emissions sources, including rapid urbanization and peatland fires associated with agricultural land management. Limited prior research has estimated the episodic shock of intense fires on morbidity and mortality in Indonesia but has largely ignored the impact of poor air quality throughout the year on biomarkers of cardiovascular disease risk. We conducted a cross‐sectional study of the association between particulate matter less than 2.5 microns in diameter (PM2.5) and blood pressure. Blood pressure measurements were obtained from the fifth wave of the Indonesian Family Life Survey (IFLS5), an ongoing population‐based socioeconomic and health survey. We used the GEOS‐Chem chemical transport model to simulate daily PM2.5 concentrations at 0.5° × 0.625° resolution across the IFLS domain. We assessed the association between PM2.5 and diastolic and systolic blood pressure, using mixed effects models with random intercepts for regency/municipality and household and adjusted for individual covariates. An interquartile range increase in monthly PM2.5 exposure was associated with a 0.234 (95% CI: 0.003, 0.464) higher diastolic blood pressure, with a greater association seen in participants age 65 and over (1.16 [95% CI: 0.24, 2.08]). For the same exposure metric, there was a 1.90 (95% CI: 0.43, 3.37) higher systolic blood pressure in participants 65 and older. Our assessment of fire‐specific PM2.5 yielded null results, potentially due to the timing and locations of health data collection. To our knowledge, this is the first study to provide evidence for an association between PM2.5 and blood pressure in Indonesia.
Macrophage migration inhibitory factor (MIF) suppresses mitophagy through disturbing the protein interaction of PINK1-Parkin in sepsis-associated acute kidney injury
Authors: Li Tianlong , Qu Jiachen , Hu Chang , Pang Jingjing , Qian Yaoyao , Li Yiming , Peng Zhiyong 
Published: July 2024

AbstractDamage to renal tubular epithelial cells (RTECs) signaled the onset and progression of sepsis-associated acute kidney injury (SA-AKI). Recent research on mitochondria has revealed that mitophagy plays a crucial physiological role in alleviating injury to RTECs and it is suppressed progressively by the inflammation response in SA-AKI. However, the mechanism by which inflammation influences mitophagy remains poorly understood. We examined how macrophage migration inhibitory factor (MIF), a pro-inflammatory protein, influences the PINK1-Parkin pathway of mitophagy by studying protein–protein interactions when MIF was inhibited or overexpressed. Surprisingly, elevated levels of MIF were found to directly bind to PINK1, disrupting its interaction with Parkin. This interference hindered the recruitment of Parkin to mitochondria and impeded the initiation of mitophagy. Furthermore, this outcome led to significant apoptosis of RTECs, which could, however, be reversed by an MIF inhibitor ISO-1 and/or a new mitophagy activator T0467. These findings highlight the detrimental impact of MIF on renal damage through its disruption of the interaction between PINK1 and Parkin, and the therapeutic potential of ISO-1 and T0467 in mitigating SA-AKI. This study offers a fresh perspective on treating SA-AKI by targeting MIF and mitophagy.
RSL3 enhances ROS-mediated cell apoptosis of myelodysplastic syndrome cells through MYB/Bcl-2 signaling pathway
Authors: Liu Li , Yang Chaoying , Zhu Lin , Wang Yanyan , Zheng Fuxiang , Liang Long , Cao Pengfei , Liu Jing , Han Xu , Zhang Ji 
Published: July 2024

AbstractMyelodysplastic syndromes (MDS) are clonal hematopoietic malignancies and seriously threaten people’s health. Current therapies include bone marrow transplantation and several hypomethylating agents. However, many elderly patients cannot benefit from bone marrow transplantation and many patients develop drug resistance to hypomethylating agents, making it urgent to explore novel therapy. RSL3 can effectively induce ferroptosis in various tumors and combination of RSL3 and hypomethylating agents is promising to treat many tumors. However, its effect in MDS was unknown. In this study, we found that RSL3 inhibited MDS cell proliferation through inducing ROS-dependent apoptosis. RSL3 inhibited Bcl-2 expression and increased caspase 3 and PARP cleavage. RNA-seq analysis revealed that MYB may be a potential target of RSL3. Rescue experiments showed that overexpression of MYB can rescue MDS cell proliferation inhibition caused by RSL3. Cellular thermal shift assay showed that RSL3 binds to MYB to exert its function. Furthermore, RSL3 inhibited tumor growth and decreased MYB and Bcl-2 expression in vivo. More importantly, RSL3 decreased the viability of bone marrow mononuclear cells (BMMCs) isolated from MDS patients, and RSL3 had a synergistic effect with DAC in MDS cells. Our studies have uncovered RSL3 as a promising compound and MYB/Bcl-2 signaling pathway as a potential target for MDS treatment.
IFNγ-IL12 axis regulates intercellular crosstalk in metabolic dysfunction-associated steatotic liver disease
Authors: Friedline Randall H. , Noh Hye Lim , Suk Sujin , Albusharif Mahaa , Dagdeviren Sezin , Saengnipanthkul Suchaorn , Kim Bukyung , Kim Allison M. , Kim Lauren H. , Tauer Lauren A. , Baez Torres Natalie M. , Choi Stephanie , Kim Bo-Yeon , Rao Suryateja D. , Kasina Kaushal , Sun Cheng , Toles Benjamin J. , Zhou Chan , Li Zixiu , Benoit Vivian M. , Patel Payal R. , Zheng Doris X. T. , Inashima Kunikazu , Beaverson Annika , Hu Xiaodi , Tran Duy A. , Muller Werner , Greiner Dale L. , Mullen Alan C. , Lee Ki Won , Kim Jason K. 
Published: July 2024

AbstractObesity is a major cause of metabolic dysfunction-associated steatohepatitis (MASH) and is characterized by inflammation and insulin resistance. Interferon-γ (IFNγ) is a pro-inflammatory cytokine elevated in obesity and modulating macrophage functions. Here, we show that male mice with loss of IFNγ signaling in myeloid cells (Lyz-IFNγR2−/−) are protected from diet-induced insulin resistance despite fatty liver. Obesity-mediated liver inflammation is also attenuated with reduced interleukin (IL)−12, a cytokine primarily released by macrophages, and IL-12 treatment in vivo causes insulin resistance by impairing hepatic insulin signaling. Following MASH diets, Lyz-IFNγR2−/− mice are rescued from developing liver fibrosis, which is associated with reduced fibroblast growth factor (FGF) 21 levels. These results indicate critical roles for IFNγ signaling in macrophages and their release of IL-12 in modulating obesity-mediated insulin resistance and fatty liver progression to MASH. In this work, we identify the IFNγ-IL12 axis in regulating intercellular crosstalk in the liver and as potential therapeutic targets to treat MASH.
Meningeal lymphatic supporting cells govern the formation and maintenance of zebrafish mural lymphatic endothelial cells
Authors: He Xiang , Xiong Daiqin , Zhao Lei , Fu Jialong , Luo Lingfei 
Published: July 2024

AbstractThe meninges are critical for the brain functions, but the diversity of meningeal cell types and intercellular interactions have yet to be thoroughly examined. Here we identify a population of meningeal lymphatic supporting cells (mLSCs) in the zebrafish leptomeninges, which are specifically labeled by ependymin. Morphologically, mLSCs form membranous structures that enwrap the majority of leptomeningeal blood vessels and all the mural lymphatic endothelial cells (muLECs). Based on its unique cellular morphologies and transcriptional profile, mLSC is characterized as a unique cell type different from all the currently known meningeal cell types. Because of the formation of supportive structures and production of pro-lymphangiogenic factors, mLSCs not only promote muLEC development and maintain the dispersed distributions of muLECs in the leptomeninges, but also are required for muLEC regeneration after ablation. This study characterizes a newly identified cell type in leptomeninges, mLSC, which is required for muLEC development, maintenance, and regeneration.
Temperature-related neonatal deaths attributable to climate change in 29 low- and middle-income countries
Authors: Dimitrova Asya , Dimitrova Anna , Mengel Matthias , Gasparrini Antonio , Lotze-Campen Hermann , Gabrysch Sabine 
Published: July 2024

AbstractExposure to high and low ambient temperatures increases the risk of neonatal mortality, but the contribution of climate change to temperature-related neonatal deaths is unknown. We use Demographic and Health Survey (DHS) data (n = 40,073) from 29 low- and middle-income countries to estimate the temperature-related burden of neonatal deaths between 2001 and 2019 that is attributable to climate change. We find that across all countries, 4.3% of neonatal deaths were associated with non-optimal temperatures. Climate change was responsible for 32% (range: 19-79%) of heat-related neonatal deaths, while reducing the respective cold-related burden by 30% (range: 10-63%). Climate change has impacted temperature-related neonatal deaths in all study countries, with most pronounced climate-induced losses from increased heat and gains from decreased cold observed in countries in sub-Saharan Africa. Future increases in global mean temperatures are expected to exacerbate the heat-related burden, which calls for ambitious mitigation and adaptation measures to safeguard the health of newborns.
Understanding the large role of long-distance travel in carbon emissions from passenger travel
Authors: Wadud Zia , Adeel Muhammad , Anable Jillian 
Published: July 2024

AbstractLong-distance passenger travel has received rather sparse attention for decarbonization. Here we characterize the long-distance travel pattern in England and explore its importance on carbon emissions from and decarbonization of passenger travel. We find that only 2.7% of a person’s trips are for long distance travel (>50 miles one-way), but they account for 61.3% of the miles and 69.3% of the greenhouse gas (CO2equivalent) emissions from passenger travel, highlighting its importance for decarbonizing passenger transport. Long-distance travel per person has also been increasing over time, trending in the opposite direction to shorter-distance travel. Flying for leisure and social purposes are the largest contributors to long distance miles and emissions, and these miles are also increasing. Overall, per capita travel emissions have started decreasing slowly from 2007, but are still higher than in 1997. We propose a new metric—emissions reduction sensitivity (% emission reduced/% trips altered)—to understand the efficiency of travel demand related initiatives to reduce greenhouse gas emissions. Long-distance travel—especially flying—can offer orders of magnitude larger emissions reduction sensitivity compared with urban travel, which suggests that a proportionate policy approach is necessary.
A mapped dataset of surface ocean acidification indicators in large marine ecosystems of the United States
Authors: Sharp Jonathan D. , Jiang Li-Qing , Carter Brendan R. , Lavin Paige D. , Yoo Hyelim , Cross Scott L. 
Published: July 2024

AbstractMapped monthly data products of surface ocean acidification indicators from 1998 to 2022 on a 0.25° by 0.25° spatial grid have been developed for eleven U.S. large marine ecosystems (LMEs). The data products were constructed using observations from the Surface Ocean CO2 Atlas, co-located surface ocean properties, and two types of machine learning algorithms: Gaussian mixture models to organize LMEs into clusters of similar environmental variability and random forest regressions (RFRs) that were trained and applied within each cluster to spatiotemporally interpolate the observational data. The data products, called RFR-LMEs, have been averaged into regional timeseries to summarize the status of ocean acidification in U.S. coastal waters, showing a domain-wide carbon dioxide partial pressure increase of 1.4 ± 0.4 μatm yr−1 and pH decrease of 0.0014 ± 0.0004 yr−1. RFR-LMEs have been evaluated via comparisons to discrete shipboard data, fixed timeseries, and other mapped surface ocean carbon chemistry data products. Regionally averaged timeseries of RFR-LME indicators are provided online through the NOAA National Marine Ecosystem Status web portal.
Cellular morphological trait dataset for extant coccolithophores from the Atlantic Ocean
Authors: Sheward Rosie M. , Poulton Alex J. , Young Jeremy R. , de Vries Joost , Monteiro Fanny M. , Herrle Jens O. 
Published: July 2024

AbstractCalcification and biomass production by planktonic marine organisms influences the global carbon cycle and fuels marine ecosystems. The major calcifying plankton group coccolithophores are highly diverse, comprising ca. 250–300 extant species. However, coccolithophore size (a key functional trait) and degree of calcification are poorly quantified, as most of our understanding of this group comes from a small number of species. We generated a novel reference dataset of coccolithophore morphological traits, including cell-specific data for coccosphere and cell size, coccolith size, number of coccoliths per cell, and cellular calcite content. This dataset includes observations from 1074 individual cells and represents 61 species from 25 genera spanning equatorial to temperate coccolithophore populations that were sampled during the Atlantic Meridional Transect (AMT) 14 cruise in 2004. This unique dataset can be used to explore relationships between morphological traits (cell size and cell calcite) and environmental conditions, investigate species-specific and community contributions to pelagic carbonate production, export and plankton biomass, and inform and validate coccolithophore representation in marine ecosystem and biogeochemical models.