bluuebunny/crossref_metadata_2025_split huggingface dataset:
Flow cytometry of DNMT1 as a biomarker of hypomethylating therapies
Authors: Woost Philip G. , William Basem M. , Cooper Brenda W. , Ueda Oshima Masumi , Otegbeye Folashade , De Lima Marcos J. , Wald David , Mahfouz Reda Z. , Saunthararajah Yogen , Stefan Tammy , Jacobberger James W. 
Published: February 2024

AbstractThe 5‐azacytidine (AZA) and decitabine (DEC) are noncytotoxic, differentiation‐inducing therapies approved for treatment of myelodysplastic syndrome, acute myeloid leukemias (AML), and under evaluation as maintenance therapy for AML postallogeneic hematopoietic stem cell transplant and to treat hemoglobinapathies. Malignant cell cytoreduction is thought to occur by S‐phase specific depletion of the key epigenetic regulator, DNA methyltransferase 1 (DNMT1) that, in the case of cancers, thereby releases terminal‐differentiation programs. DNMT1‐targeting can also elevate expression of immune function genes (HLA‐DR, MICA, MICB) to stimulate graft versus leukemia effects. In vivo, there is a large inter‐individual variability in DEC and 5‐AZA activity because of pharmacogenetic factors, and an assay to quantify the molecular pharmacodynamic effect of DNMT1‐depletion is a logical step toward individualized or personalized therapy. We developed and analytically validated a flow cytometric assay for DNMT1 epitope levels in blood and bone marrow cell subpopulations defined by immunophenotype and cell cycle state. Wild type (WT) and DNMT1 knock out (DKO) HC116 cells were used to select and optimize a highly specific DNMT1 monoclonal antibody. Methodologic validation of the assay consisted of cytometry and matching immunoblots of HC116‐WT and ‐DKO cells and peripheral blood mononuclear cells; flow cytometry of H116‐WT treated with DEC, and patient samples before and after treatment with 5‐AZA. Analysis of patient samples demonstrated assay reproducibility, variation in patient DNMT1 levels prior to treatment, and DNMT1 depletion posttherapy. A flow‐cytometry assay has been developed that in the research setting of clinical trials can inform studies of DEC or 5‐AZA treatment to achieve targeted molecular pharmacodynamic effects and better understand treatment‐resistance/failure.
Geomicrobiological characterization of the evaporitic ecosystem in the hypersaline lake Laguna Verde (Andean Puna, Northwestern Argentina)
Authors: Saona L. A. , Villafañe P. G. , Carrizo D. , Cónsole Gonella C. , Néspolo R. F. , Farías M. E. 
Published: February 2024

AbstractLaguna Verde's dome‐shaped structures are distinctive formations within the Central Andes, displaying unique geomicrobiological features. This study represents a pioneering investigation into these structures, assessing their formation, associated taxa, and ecological significance. Through a multifaceted approach that includes chemical analysis of the water body, multiscale characterization of the domes, and analysis of the associated microorganisms, we reveal the complex interplay between geology and biology in this extreme environment. The lake's alkaline waters that are rich in dissolved cations and anions such as chloride, sodium sulfate, and potassium, coupled with its location at the margin of the Antofalla salt flat, fed by alluvial fans and hydrothermal input, provide favorable conditions for mineral precipitation and support for the microorganism's activity. Laguna Verde's dome‐shaped structures are mainly composed of gypsum and halite, displaying an internal heterogeneous mesostructure consisting of three zones: microcrystalline, organic (orange and green layers), and crystalline. The green layer of the organic zone is predominantly composed of Proteobacteria, Bacteroidetes, and Cyanobacteria, while the orange layer is mostly inhabited by Cyanobacteria. The results of the study suggest that oxygenic photosynthesis performed by Cyanobacteria is the main carbon fixation pathway in the microbial community, supported by carbon isotopic ratios of specific biomarkers. This finding highlights the important role played by Cyanobacteria in this ecosystem.
Bioactivity, DNA damage protecting, and aroma potential of oleuropein enriched olive leaf extract by optimization of ultrasound‐assisted process
Authors: Ilgaz Ceren , Kelebek Haşim , Kadiroglu Pınar 
Published: February 2024

AbstractIn this study, Box–Behnken experimental design was employed to optimize Ultrasound‐assisted extraction (UAE) method to obtain oleuropein‐rich extract from olive leaf. The effect of three parameters, ethanol concentration (30%–70%), amplitude (30%–50%), and ultrasonication time (5–15 min) on oleuropein content were evaluated through experimental design. The total phenolic content, antioxidant capacity, DNA damage scavenging activity, aroma profile, and antimicrobial activity of olive leaf were also investigated. The optimum extraction condition was determined as 30% amplitude, 70% ethanol, and 5 min extraction time. The amount of oleuropein was found to be 42.621 mg/g dry leaves at the optimum condition. The total phenolic content of the optimized extract was found as 45.13 mg GAE/g dry leaves while the antioxidant capacity of the optimized extract was 216 µmol Trolox/g in DPPH and 213.19 µmol Trolox/g in ABTS method. Twenty‐three volatile compounds were identified in extracts, mainly aldehydes and alcohols. The extracts showed high antimicrobial activity against selected bacterial strains. DNA damage protecting activity of extracts on plasmid DNA was clearly demonstrated. UAE has an important effect on the phenolic content and antioxidant capacity of olive leaves. Moreover, oleuropein‐rich extract can have potential as a therapeutic agent depending on its antimicrobial and DNA‐protecting activity.
Two‐ and three‐dimensional multiphase mesh‐free particle modeling of transitional landslide withμ(I) rheology
Authors: Jafari Nodoushan Ehsan , Tajnesaie Mohanna , Shakibaeinia Ahmad 
Published: February 2024

AbstractLandslides, which are the sources of most catastrophic natural disasters, can be subaerial (dry), submerged (underwater), or semi‐submerged (transitional). Semi‐submerged or transitional landslides occur when a subaerial landslide enters water and turns to submerged condition. Predicting the behavior of such a highly dynamic multi‐phase granular flow system is challenging, mainly due to the water entry effects, such as wave impact and partial saturation (and resulted cohesion). The mesh‐free particle methods, such as the moving particle semi‐implicit (MPS) method, have proven their capabilities for the simulation of the highly dynamic multiphase systems. This study develops and evaluates a numerical model, based on the MPS particle method in combination with theμ(I) rheological model, to simulate the morphodynamic of the granular mass in semi‐submerged landslides in two and three dimensions. An algorithm is developed to consider partial saturation (and resulting cohesion) during the water entry. Comparing the numerical results with the experimental measurements shows the ability of the proposed model to accurately reproduce the morphological evolution of the granular mass, especially at the moment of water entry.
Fundamental analysis of Initial Coin Offerings
Authors: Bai Yunxia , Zhang Bofu 
Published: February 2024

AbstractThis study endeavours to discern the pivotal factors contributing to the success of initial coin offerings (ICOs) on a global scale. Through a comprehensive analysis of ICO characteristics, we explore the intricate relationship between these attributes and the ultimate success of ICO projects. Our empirical findings show that projects that have secured presale funding, coupled with comprehensive token sale information, exhibit a markedly increased likelihood of achieving ICO success. We also employ the automated machine learning method to offer valuable insights into the potential determinants of ICO success. Furthermore, we delve into the underlying rationale behind ICO success by employing SHAP values to discern the relative importance of various ICO characteristics and examine the correlations among these attributes. This research contributes to a deeper understanding of ICO dynamics and offers empirical evidence regarding the critical factors that shape the success of ICO projects. Such insights hold significant implications for both industry practitioners and policymakers seeking to navigate the evolving landscape of blockchain‐based fundraising initiatives.
Prepartum and postpartum mothers’ and fathers’ feelings of frustration in response to infant crying
Authors: Drabkin Meriah , Fairbrother Nichole , Crighton Brianna , Miller Erica , Brant Rollin , Riar Shivraj , Albert Arianne , Barr Ronald G. 
Published: February 2024

AbstractIn this cross‐sectional study performed in Canada, we evaluated the frustration levels of prepartum and postpartum mother and father couple‐pairs. Our goal was to determine if there were differences in frustration levels between mothers and fathers while listening to prolonged infant crying, and further, how frustration levels might differ between prepartum and postpartum samples. Using two discrete groups, prepartum (Sample 1; N = 48) and postpartum (Sample 2; N = 44) mother and father couple‐pairs completed 600 s of listening to audio‐recorded infant cry sounds. Participants continuously reported their subjective frustration using a computerized Continuous Visual Analog Scale (CVAS). There was no significant difference in frustration responses between mothers and fathers across both prepartum and postpartum samples. Postpartum mothers and fathers experienced greater frustration than their prepartum counterparts, and frustration increased faster in postpartum couples compared to prepartum couples. Informing first‐time parents of the universal experiences of frustration to prolonged crying bouts that are characteristic of their infant's early weeks of life may lead to greater understanding towards their infant, and perhaps decreased instances of harmful responses.
Measuring early adolescents' prosocial behavior toward diverse others: Considering multiple social identities
Authors: Xiao Sonya Xinyue , Gülseven Zehra , Clancy Erin T. , Liew Jeffrey , Carlo Gustavo , Kim Sarah , Jiang Su 
Published: February 2024

AbstractIntroductionIn a diverse society, individuals often need to make prosocial decisions toward others who vary on a range of intertwined social identities. Adolescence is a prime time to promote intergroup prosociality due to identity salience during this developmental stage. In this study, our goal was to develop and provide initial validation, of a novel measure on intergroup prosocial behavior considering gender and race/ethnicity.MethodWe used two independent samples of early adolescents (N1 = 118, Mage = 12.21 years, 55% boys, 59% White collected nationally in the United States.; N2 = 133, Mage = 12.77, 51.1% boys, 77% White collected locally in Arizona).ResultsUsing the data from Sample 1, Exploratory Factor Analyses revealed a two‐factor solution capturing intergroup prosociality and personal distress. Confirmatory Factor Analyses with data from Sample 2 confirmed the factor structure. The reliability of intergroup prosociality was acceptable. Prosociality subscale was positively correlated with adolescents' empathy, sympathy, compliant, emotional, dire, and anonymous prosocial behaviors indicating convergent validity and negatively correlated with adolescents' public prosocial behavior indicating discriminant validity. Further, we examined whether youth engage in differential intergroup prosocial behavior using both variable‐centered and person‐centered approaches, combining data from Samples 1 and 2. While adolescents did not engage in differential intergroup prosocial behavior, Latent Profile Analyses revealed five distinct profiles of early adolescents' intergroup prosociality. Overall, this study advances research on youth's intergroup prosociality across two intersectional social identities, moving beyond the conceptualization of single social identities in intergroup research.
Expression of cell surface zinc transporter LIV1 in triple negative breast cancer is an indicator of poor prognosis and therapy failure
Authors: Saravanan Roshni , Balasubramanian Vaishnavi , Sundaram Sandhya , Dev Bhawna , Vittalraj Pavithra , Pitani Ravi Shankar , Shanmugasundaram Gouthaman , Rayala Suresh Kumar , Venkatraman Ganesh 
Published: February 2024

AbstractTriple negative breast cancers (TNBC) are an aggressive molecular subtype of breast carcinoma (BC) identified by the lack of receptor expression for estrogen, progesterone, & human epidermal growth factor receptor‐2. Lack of tangible drug targets warrants further research in TNBC. LIV1, is a zinc (Zn) transporter known to be overexpressed in few cancer types including BCs. Recently, in the United States of America, FDA approved the use of a new drug targeting LIV1, antibody drug conjugate SGN‐LIV1A for treatment of TNBC patients. Though LIV1 also has a role in modulating immune cells by its differential transport of Zn, a correlation between the tumor cell expression of LIV1 and immune cell infiltrations were scantily reported. Further adequate baseline data on LIV1 expression in other populations have not been documented. Our objective was to screen a large Indian cohort of TNBC patient samples for LIV1, categorize the immune cell infiltration using CD4/CD8 expression and correlate the findings with therapy outcomes. Further, we also investigated for LIV1 expression in matched samples of primary & secondary tumors; pre & postchemotherapy in TNBC patients. Results showed an elevated expression of LIV1 in TNBC samples as compared to adjacent normal, the mean Q scores being 183.06 ± 6.39 and 120.78 ± 7.37 (p < 0.0001), respectively. Similarly, LIV1 levels were elevated in secondary tumors than primary & in patient samples postchemotherapy as compared to naïve. In the TNBC cohort, using automated method, cell morphology parameters were computed and analysis showed LIV1 levels were elevated in grade 3 TNBC samples presenting with altered cell morphology parameters namely cell size, cell perimeter, & nucleus size. Thus indicating LIV1 expressing TNBC samples portrayed an aggressive phenotype. Finally, TNBC patients with 3+ staining intensity showed poor survival (4.44 year) as compared to patients with 2+ LIV1 expression (5.47 year), emphasizing that LIV1 expression is a poor prognostic factor in TNBC. In conclusion, the study reports elevated expression of LIV1 in a large Indian TNBC cohort; high expression is a poor prognostic factor and correlated with aggressive disease and indicating the need for LIV1 targeted therapies.
Identification of binding partners that facilitate membrane‐type 5 matrix metalloproteinase (MT5‐MMP) processing of amyloid precursor protein
Authors: Wang Hongjie , Lakshmana Madepalli K. , Fields Gregg B. 
Published: February 2024

AbstractOne of the pathological hallmarks of Alzheimer's disease (AD) is the presence of extracellular deposits of amyloid beta (Aβ) peptide. In addition to Aβ as the core component of the amyloid plaque, the amyloid precursor protein (APP) processing fragment Aβ was also found accumulated around the plaque. The APPη pathway, mainly mediated by membrane‐type 5 matrix metalloproteinase (MT5‐MMP), represents an important factor in AD pathogenesis. The proamyloidogenic features of MT5‐MMP could result from interactions with APP when trafficking between organelles, so determination of the location within the cell of APPη cleavage and interacting proteins of MT5‐MMP affecting this process will be of priority in understanding the role of MT5‐MMP in AD. In the present study, MT5‐MMP was found to be located in the nucleus, cytosol, and cytosolic subcellular granules of CHO cells that stably expressed wild‐type human APP751. MT5‐MMP fusion proteins were constructed that could localize enzyme production in the Golgi apparatus, endosome, ER, mitochondria, or plasma membrane. The fusion proteins significantly increased sAPPη when directed to the endosome, Golgi apparatus, plasma membrane, or mitochondria. Since the C‐terminal region of MT5‐MMP is responsible for its intracellular location and trafficking, this domain was used as the bait in a yeast two‐hybrid screen to identify MT5‐MMP protein partners in a human brain cDNA library. Identified binding partners included N4BP2L1, TMX3, EIG121, bridging Integrator 1 (BIN1), RUFY4, HTRA1, and TMEM199. The binding of N4BP2L1, EIG121, BIN1, or TMX3 to MT5‐MMP resulted in the most significant increase in sAPPη production. Thus, the action of MT5‐MMP on APP occurs in multiple locations within the cell and is facilitated by site‐specific binding partners.
Scrutinizing the antibacterial activity of poly (1‐vinyl‐3‐alkyl imidazolium) ionic liquids: experimental and computational approach
Authors: Panda Itishree , Behera Santosh Kumar , Sahoo Rajashree , Samal Sangram Keshari , Pradhan Sanghamitra 
Published: February 2024

AbstractBackgroundAntimicrobial resistance has become a serious concern and threat to global health. This has triggered the need for the design of new antimicrobials. In this study, poly‐ionic liquid (PIL) homopolymers have been designed by varying the alkyl chain lengths to evaluate their pathogeneses against Gram‐positive (Staphylococcus aureus) and Gram‐negative bacteria (Escherichia coli).ResultsThe results demonstrated that the antimicrobial and antibiofilm activities depend on the alkyl chain length of PILs (C10 > C8 > C6). To support the experimental findings, in silico analyses were performed to explore the structural and functional information of bacterial RNA polymerase (RNAP) enzymes. A switch region was identified between RNAP β subunit (RpoB) and RNAP β' subunit (RpoC) with 1119 amino acids (aa) and 1504 (2–1505) aa, respectively. The docking analysis reflected the docking energies −5.313 kcal mol−1 for RNAP‐poly‐1‐vinyl‐3‐hexyl imidazolium complex, −4.634 kcal mol−1 for RNAP‐poly‐1‐vinyl‐3‐octyl imidazolium complex, and −3.456 kcal mol−1 for RNAP‐poly‐1‐vinyl‐3‐decyl imidazolium complex.ConclusionThe synthesized PIL samples exhibited antibacterial and antibiofilm activities against E. coli and S. aureus. However, the effect on E. coli was more prominent in comparison to S. aureus. The results indicated that both electrostatic interaction and hydrophobic effect played a vital role in enhancing the antibacterial as well as antibiofilm activities. In addition, in silico analysis identified the ‘switch region’ between RNAP β subunit (RpoB) and RNAP β subunit (RpoC). The novel target appeared to be a binding region for PILs and restricted the synthesis of bacterial RNA. It can be concluded that imidazolium‐based PILs can be used as safe antibacterial materials in the healthcare sector. © 2024 Society of Chemical Industry (SCI).
Renal function improvement correlates with 3D echocardiographic findings: Effect of surgical mitral valve repair
Authors: Wang Chenchen , Yang Wenbo , Shi Zhongwei , Fang Yuehua 
Published: February 2024

AbstractBackgroundThe association between surgical treatment of mitral regurgitation (MR) and renal function is not sufficiently well‐known. We tried to evaluate renal function before and after the procedure of surgical mitral valve repair (SMVR) in degenerative severe MR.MethodsPatients with primary severe (4+) MR and normal left ventricular ejection fraction (LVEF) that underwent SMVR, examined by a cutting‐edge 3‐dimensional (3D) echocardiographic probe were enrolled in this study. We took three CKD‐EPI equations to measure estimated glomerular filtration rate (eGFR) before SMVR and shortly before patients discharge. A total of 40 patients with baseline lower mean eGFR were evaluated.ResultsMeasurements substantiated statistically significant improvements in eGFR (p < 0.001), multivariable linear regression modeling indicating prominent associations between increase in eGFR and decrease of MR (p = 0.003), decline of pulmonary arterial systolic pressure (p = 0.018), as well as increment of forward stroke volume (p = 0.02), in spite of LVEF reduction, left ventricular global longitudinal strain worsening and left atrial ejection fraction impairment.ConclusionsRenal function improves after SMVR in patients with degenerative significant MR and preserved LVEF, regardless of cardiac functional worsening.
Simulation clinic waste audit assessment and recommendations at the University of Washington School of Dentistry
Authors: Oxborrow Delbert G. , Dong Chao , Lin Ivy F. 
Published: February 2024

AbstractObjectiveDentistry produces waste contributing to climate change and adverse health outcomes, thus reducing waste is essential; however, there has been minimal emphasis on sustainability or climate action in dentistry. Waste audits quantify the type and amount of waste produced and may inform waste reduction strategies. We conducted a waste audit to identify areas of potential waste reduction and recommend interventions to reduce waste.MethodsIn this cross‐sectional study, we conducted a waste audit of garbage produced during a typical 4‐hour pre‐clinical restorative dentistry simulation exercise. The sample was composed of 72 second‐year dental students. This exercise is part of a standard curriculum with a uniform format regarding supplies used and participants. Potentially infectious materials were not used during this exercise.ResultsIn total, 26.6 kg of waste was discarded. Plastic was the largest contributor by mass (57.5%), followed by paper barriers (19.6%), then impression materials (6.5%). We found 894 gloves and 70 masks discarded.ConclusionsBased on these findings, we categorized waste reduction opportunities into policy changes, purchasing sustainable materials, and increasing awareness through education. Specific suggested actions include: relaxing glove and gown requirements during laboratory simulations; replacing single use items with more sustainable options; increasing use of intraoral scanners; and posting informational signage with examples of what can be recycled.
A Treg‐related riskscore model may improve the prognosis evaluation of colorectal cancer
Authors: Li Qingqing , Chu Yuxin , Yao Yi , Song Qibin 
Published: February 2024

AbstractBackgroundColorectal cancer (CRC) poses a significant health challenge. This study aims to investigate the prognostic value of a regulatory T cell (Treg)‐related gene signature in CRC.MethodsWe extracted the gene expression and clinical data on CRC from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The gene module related to Treg was identified by weighted gene co‐expression network analysis (WGCNA). The genes in the significant module were filtered by univariate Cox, least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analysis. A riskscore model was established in terms of the key Treg‐related genes. The reliability of this riskscore model was validated using the external GEO dataset. The association of riskscore with clinical features, mutation patterns and signaling pathways was explored.ResultsGenes in the blue module showed the strongest association with Tregs. After a series of filtering cycles, seven Treg‐related key genes, GDE1, GSR, HSPB1, AOC2, TBX19, TAMM41 and TIGD6, were selected to construct a riskscore model. This model performed well in evaluating the patients’ survival in TCGA cohort, and was further affirmed by the GSE17536 validation cohort. For precise evaluation of the patients’ survival, we established a nomogram in light of riskscore and clinical factors. Patients in different risk groups had distinct clinical features, mutation patterns and signaling pathway activities. The expression of five key genes was significantly associated with Treg infiltration in the CRC samples.ConclusionWe established a useful riskscore model in light of seven Treg‐related genes. This model may contribute to the prognosis evaluation, direct tailored treatment, and hopefully improve clinical outcomes of the CRC patients.