bluuebunny/crossref_metadata_2025_split huggingface dataset:
Natural product fargesin interferes with H3 histone lactylation via targeting PKM2 to inhibit non‐small cell lung cancer tumorigenesis
Authors: Guo Zizhang , Tang Yeqing , Wang Shunshun , Huang Yuming , Chi Qingjia , Xu Kang , Xue Lei 
Published: December 2023

AbstractNon‐small cell lung cancer (NSCLC) is one of the most common malignant tumors. There is an urgent need to find more effective drugs that inhibit NSCLC. Fargesin (FGS) has demonstrated anti‐tumor effects; however, its efficacy and the molecular mechanism of inhibiting NSCLC are unclear. Herein, we investigated FGS’ inhibitory effects on NSCLC by CCK8 and EdU assays and cell cycle analysis of A549 cells in vitro and in a nude mouse tumor transplantation model in vivo. FGS (10–50 μM) significantly inhibited cell proliferation and down‐regulated expression levels of CDK1 and CCND1. Transcriptomic analysis showed that FGS regulated the cell metabolic process pathway. Differential metabolites with FGS treatment were enriched in glycolysis and pyruvate pathways. Cell metabolism assay were used to evaluate the oxygen consumption rate (OCR), Extracellular acidification rate (ECAR) in A549 cells. FGS also inhibited the production of cellular lactate and the expression of LDHA, LDHB, PKM2, and SLC2A1. These genes were identified as important oncogenes in lung cancer, and their binding to FGS was confirmed by molecular docking simulation. Notably, the over‐expression and gene silencing experiments signified PKM2 as the molecular target of FGS for anti‐tumorigenesis. Moreover, the H3 histone lactylation, were correlated with tumorigenesis, were inhibited with FGS treatment. Conclusively, FGS inhibited the aerobic glycolytic and H3 histone lactylation signaling pathways in A549 NSCLC cells by targeting PKM2. These findings provide evidence of the therapeutic potential of FGS in NSCLC.
Development of stability‐indicating assay method and liquid chromatography‐quadrupole‐time‐of‐flight mass spectrometry‐based structural characterization of the forced degradation products of alpelisib
Authors: Ghanghav Vidya , Chawathe Ashwini , Chauthe Siddheshwar Kisan , Sharma Nitish 
Published: December 2023

AbstractThe US Food and Drug Administration and the European Medicines Agency approved alpelisib in 2019 for the treatment of metastatic breast cancer. A thorough literature review revealed that a stability‐indicating analytical method (SIAM) is not available for the quantification of alpelisib and its degradation products (DPs). In this study, per the comprehensive stress study recommended by the International Council for Harmonisation (ICH), alpelisib was exposed to hydrolysis, oxidation, photolysis, and thermal stress. Degradation of the drug was observed under hydrolysis, oxidative, and photolysis conditions, whereas the drug was stable under thermal stress condition. We developed a SIAM for the separation of alpelisib and its major DPs that were formed under different stress conditions. The validation of the developed method was performed per ICH Q2(R1) guidelines. Five DPs were identified and characterized. Structure elucidation of all DPs was performed with the modern characterization tool of liquid chromatography‐quadrupole time‐of‐flight mass spectrometer (LC‐Q‐TOF‐MS/MS). The degradation pathway of the drug and its mechanisms were outlined, and in silico toxicity prediction was performed using the ProTox‐II tool.
Effect of sourdough addition on gluten‐free sorghum bread fortified with plant‐based protein and dietary fiber: Functional, textural, and structural properties
Authors: Turksoy Secil , Guzel Mustafa , Guzel Nihal 
Published: December 2023

AbstractBackground and ObjectivesThe production of high‐quality gluten‐free bread still poses a major technological challenge. The objective of this study was to investigate the effects of sourdough fermentation and structural/nutritional enrichment on gluten‐free sorghum bread quality. Lactic acid bacteria (Lactobacillus casei and Lactobacillus acidophilus) and yeast (Saccharomyces cerevisiae) were used as starter cultures.FindingsThe bread crust color and titratable acidity were comparable; although, the crumb color of sourdough bread made with L. acidophilus was measured darker. In both starter cultures, sourdough bread had a softer texture than the control, with significant (p < .05) differences in hardness, adhesiveness, cohesiveness, and gumminess values. The sourdough bread showed similar Fourier Transformed Infraredtransformed infrared (FTIR) spectra with the control bread, with four major peaks in the functional group region (4000–1200 cm−1) and a unique peak in the fingerprint region (1200–600 cm−1).ConclusionBreads made with L. acidophilus (at 20% and 30% addition levels) showed better quality attributes such as softer texture, higher total phenolic content (97.75 mg GAE/100 g), and antioxidant capacity (341.49 µmol TEAC/100 g).Significance and NoveltyThe results suggested that selected lactic acid bacteria‐based sorghum sourdough might be a promising ingredient for the development of gluten‐free bread with improved quality and nutritional value.
Oxazaborolidinones: Steric Coverage Effect of Lewis Acidic Boron Center in Suzuki–Miyaura Coupling Reactions
Authors: Tsuchiya Naoki , Nojiri Takaki , Nishikata Takashi 
Published: December 2023

AbstractIt was demonstrated that α‐hydroxycarboxamide is an excellent boron‐protecting group. The reaction between α‐hydroxycarboxamide and organoboronic acids produced stable oxazaborolidinones (OxBs), in which the
‐hybridized boron atom was sterically protected by α‐hydroxycarboxamide. The alkyl groups of the α‐hydroxycarboxamide moiety can dynamically cover the p‐orbital of the
‐hybridized boron center, creating a small space around the boron atom, allowing for smooth transmetalation by a Pd catalyst and easy deprotection by water. This protecting phenomenon is effective for readily purification, Suzuki–Miyaura coupling reactions with unstable boronic acids and iterative cross‐couplings.
Studying antigen‐specific T cells through a streamlined, whole blood‐based extracellular approach
Authors: Trauet Jacques , Bourgoin Penelope , Schuldt Jana , Lefèvre Guillaume , Labalette Myriam , Busnel Jean‐Marc , Demaret Julie 
Published: December 2023

AbstractTechniques currently used for the study of antigen‐specific T‐cell responses are either poorly informative or require a heavy workload. Consequently, many perspectives associated with the broader study of such approaches remain mostly unexplored in translational research. However, these could benefit many fields including but not limited to infectious diseases, oncology, and vaccination. Herein, the main objective of this work was to develop a standardized flow cytometry‐based approach that would combine ease of use together with a relevant study of antigen‐specific T‐cell responses so that they could be more often included in clinical research. To this extent, a streamlined approach relying on 1/ the use of whole blood instead of peripheral blood mononuclear cells and 2/ solely based on the expression of extracellular activation‐induced markers (AIMs), called whole blood AIM (WAIM), was developed and further compared to more conventional techniques such as enzyme‐linked immunospot (ELISpot) and flow cytometry‐based intracellular cytokine staining (ICS). Based on a cohort of 20 individuals receiving the COVID‐19 mRNA vaccine and focusing on SARS‐CoV‐2 and cytomegalovirus (CMV)‐derived antigen T‐cell‐specific responses, a significant level of correlation between the three techniques was found. Based on the use of whole blood and on the expression of extracellular activation‐induced markers (CD154, CD137, and CD107a), the WAIM technique appears to be very simple to implement and yet allows interesting patient stratification capabilities as the chosen combination of extracellular markers exhibited higher orthogonality than cytokines that are commonly considered in ICS (IFN‐γ, TNF‐α, and IL‐2).
Accident event detection from Facebook posts written in Bengali and Banglish languages
Authors: Sabah Mredula Motahara , Rahman Md. Sazzadur , Sanwar Hosen A. S. M. 
Published: December 2023

SummaryAccident events refer to abrupt or unpredictable incidents, which often cause a temporary or permanent bruise. Sometimes, the damage is so severe that it permanently ruins an individual's whole life and family. Detection of these unwanted accident events is the prerequisite for preventing and lowering the rate of casualty. Most people are habituated to posting their seeings, thoughts, and beliefs on social media and often post about accident incidents. This work detects accident incidents from real‐time Facebook data and the text‐mentioned probable time and location. Previous research works in this domain have been conducted in English, mainly with Twitter data. In this work, Bengali and Banglish Facebook posts have been used to aid the emergency response team in rapidly rescuing injured personnel. For this purpose, real‐time Facebook data have been crawled and pre‐processed. After that, several layers of feature extraction including individual keyword feature and paired keyword feature have been conducted and then sentiment analysis of the posts have taken place. Individual keyword feature is further divided into common event keyword and accident‐specific event keyword. Finally, the Support Vector Machine (SVM) classifier is used to classify accident and non‐accident events. Two more classifiers, Naive Bayes (NB) and Decision Tree (DT), are used for comparison. For NB, the Bernoulli, Gaussian, and Multinomial NB are applied. The SVM method achieves slightly better accuracy in the Bengali dataset than the Banglish dataset. The SVM, Bernoulli NB, Multinomial NB, Gaussian NB, and DT classifier achieved accuracy of 80%, 81%, 74%, 80%, and 79.5% for the Bengali dataset and 78%, 77.5%, 73%, 78%, and 78.5% for the Banglish dataset, respectively.
Oil sands restoration with warm‐adapted trees improves outcomes under moderate but not severe warming scenarios
Authors: Nenzén Hedvig , Boulanger Yan , Campbell Elizabeth , Price David , Mallon Chris , Petty Aaron , Stralberg Diana 
Published: December 2023

AbstractSuccessful restoration of human‐disturbed landscapes and ecosystems will be increasingly compromised by the impacts of climate warming. Assisted migration and climate‐informed restoration, in which populations and species adapted to future climates are selected for restoration planting, have emerged as management tools to mitigate climate change effects. However, it is unclear whether climate‐informed restoration could offset the negative effects of climate change and enable successful restoration. We used a forest landscape model to evaluate the potential for reclamation activities to restore western Canadian boreal forest landscapes severely degraded by oil sands mining. We parametrized tree populations adapted to growing in warmer climates and then simulated the planting of local or southern tree populations under different climate change, mining, and wildfire disturbance scenarios. We found that planting trees better adapted to a warmer climate mitigated climate‐change and wildfire‐caused decreases in biomass across the landscape, but only under moderate climate change scenarios. The compensatory effect of planting populations adapted to warmer southern climates disappeared under a more severe climate change scenario. The advantage of planting southern populations also disappeared under wildfire scenarios, generally doubling the biomass loss compared with scenarios without wildfire. With wildfire and strong climate change effects, forest cover disappeared from much of the landscape, regardless of the planting scenario, causing it to change markedly from present‐day continuous boreal forest cover. We argue that such conditions would have large ecological and economic consequences. Scenario modeling with forest landscape models could be used as a tool to identify the long‐term success of restoration actions and to understand possible consequences of climate‐informed restoration.
Internet of things‐enabled intelligent systems for remote chronic disease monitoring
Authors: Tai Yali , Rajawat Anand Singh , Goyal S. B. , Bedi Pradeep , Amannah Constance 
Published: December 2023

AbstractThe possibility of remotely monitoring and managing chronic diseases is made feasible by the Internet of Things (IoT), which enables the collection and analysis of vast amounts of data from various sources such as sensors, devices, and wearables. However, conventional machine learning approaches often encounter difficulties when dealing with IoT data due to its noise, heterogeneity, and high dimensions. In this study, we introduce a novel technique for developing human‐centric intelligent systems for remote monitoring of chronic diseases using deep learning in an IoT context. This technique is capable of handling complex and diverse IoT data, providing accurate and comprehensible predictions and recommendations. We outline a standardized architecture for these systems, comprising of three distinct phases: data acquisition, data processing, and data visualization. To demonstrate the effectiveness of our methodology, we apply it to a case study involving the development and evaluation of a human‐centered intelligent system for remote monitoring of hypertension and diabetic patients, involving real users. Our findings reveal a substantial enhancement in prediction accuracy when employing our proposed hybrid algorithm. When compared to traditional algorithms, our proposed hybrid algorithm exhibits superior performance, achieving an accuracy of 93.5%, surpassing the Restricted Boltzmann Machine (RBM) with an accuracy of 88.2%, Long Short‐Term Memory (LSTM) networks at 90.4%, and Convolutional Neural Networks (CNN) at 91.6%. This improvement in accuracy is critical for ensuring reliable disease monitoring and management, highlighting the effectiveness of our approach. In terms of precision, scalability, and user satisfaction, we demonstrate the effectiveness and efficiency of our method. Furthermore, we address the social and ethical implications inherent in our methodology and suggest avenues for future research in this domain.
Zingiber officinale extract maximizes the efficacy of simvastatin as a hypolipidemic drug in obese male rats
Authors: Abdelhamid Moustafa Salaheldin , Sherif Mohamed Hassan , Abaza Hazem R. , El‐Maghraby Lamiaa M. M. , Watad Shimaa H. , Awad Ahmed E. 
Published: December 2023

AbstractObesity became a serious public health problem with enormous socioeconomic implications among the Egyptian population. The present investigation aimed to explore the efficacy of Zingiber officinale extract as a hypolipidemic agent combined with the commercially well‐known anti‐obesity drug simvastatin in obese rats. Thirty‐five male Wister rats were randomly divided into five groups as follows: group I received a standard balanced diet for ten weeks; high‐fat diet was orally administered to rats in groups II–V for ten weeks. From the fifth week to the tenth week, group III orally received simvastatin (40 mg/kg B.W.), group IV orally received Z. officinale root extract (400 mg/kg B.W.), and group V orally received simvastatin (20 mg/kg B.W.) plus Z. officinale extract (200 mg/kg B.W.) separately. Liver and kidney function tests, lipid profiles, serum glucose, insulin, and leptin were determined. Quantitative RT‐PCR analysis of PPAR‐γ, iNOS, HMG‐CoA reductase, and GLUT‐4 genes was carried out. Caspase 3 was estimated in liver and kidney tissues immunohistochemically. Liver and kidney tissues were examined histologically. The administration of Z. officinale extract plus simvastatin to high‐fat diet‐fed rats caused a significant reduction in the expression of HMG‐coA reductase and iNOS by 41.81% and 88.05%, respectively, compared to highfat diet (HFD)‐fed rats that received simvastatin only. Otherwise, a significant increase was noticed in the expression of PPAR‐γ and GLUT‐4 by 33.3% and 138.81%, respectively, compared to those that received simvastatin only. Immunohistochemistry emphasized that a combination of Z. officinale extract plus simvastatin significantly suppressed caspase 3 in the hepatic tissue of high‐fat diet‐fed rats. Moreover, the best results of lipid profile indices and hormonal indicators were obtained when rats received Z. officinale extract plus simvastatin. Z. officinale extract enhanced the efficiency of simvastatin as a hypolipidemic drug in obese rats due to the high contents of flavonoid and phenolic ingredients.
Nutritional composition and staling properties of gluten‐free bread‐added fermented acorn flour
Authors: Levent Ayşe , Aktaş Kübra 
Published: December 2023

AbstractThe present study aimed to improve the nutritional quality of gluten‐free bread with the addition of acorn flour and to determine the characteristics of the final product. Formulations were adjusted with separately non‐fermented and two different fermented acorn flours at different levels (0, 15, 30, and 45%). The breads were assessed in terms of their chemical and physical properties, and their staling characterization was also estimated. Results showed that the fermentation of acorn flour before adding it to the formulation affected some chemical properties, and the addition of increasing amounts of acorn flour generally had a positive effect on the chemical composition. Furthermore, the highest protein, total phenolic content, Ca, K, Mg, Mn, and Fe values were obtained from breads, including fermented acorn flour with chickpea yeast (FAC). However, compared to non‐fermented acorn flour (AF), FAC and fermented acorn flour without chickpea yeast (FA) addition caused decreases in weight and volume of breads. Both crust L* and crumb L* values showed a significant reduction with increased acorn addition levels (from 71.88 and 77.22 to 42.26 and 41.15, respectively). The highest initial and final hardness values (T0 and T∞) were observed with FAC‐added samples, and Avrami exponent n was higher than 1 for only FAC‐added breads. Although fermented acorn addition had positive effects on the nutritional profile of breads, the sensory properties of the samples were negatively affected.
Exploring the short‐term impact of swapping consumption from standard protein snacks to higher protein snacks on energy intake in social drinkers: Is protein worth a nudge?
Authors: Kwok Alastair , Dordevic Aimee L. , Truby Helen 
Published: December 2023

AbstractDrinking alcoholic beverages stimulates food intake and contributes to the passive overconsumption of dietary energy. As protein is the most satiating of all the macronutrients, increased levels in snacks taken with alcohol have the potential to minimize excess energy consumption. We hypothesized that swapping consumption from retail‐available standard protein (SP) snacks to higher protein (HP) snack foods would increase satiety and reduce acute food energy intake in social drinkers. A randomized single‐blind crossover trial with 19 healthy participants aged 19–31 years was conducted. Participants attended two separate testing sessions, where they ingested white wine (30 g alcohol) and were offered ad libitum access to either HP snacks with a protein‐fortified dip or SP snacks with a dip. There were no significant differences in mean food mass, food energy intake, or subjective appetite ratings between the high and SP snacks (all p > .05). Mean protein intake was significantly increased with HP snacks compared with standard snacks (p < .001). Plasma glucose median incremental area under the curve and mean peak were significantly higher with the SP snacks (all p < .05) but remained within the reference range. This study demonstrated that consumption of a higher amount of protein after a moderate alcohol dose does not result in a change in food mass and energy intake or promote satiety in healthy young adults. The potential for a simple swap to different snack types is unlikely to bring substantial benefits to social drinkers and reduce passive energy consumption.
A long‐term retrospective analysis of management of cervical cancer during pregnancy
Authors: Tang Xiaoyan , Zhang Xuyin , Ding Yan , Zhang Yunqiang , Zhang Ning , Qiu Junjun , Hua Keqin 
Published: December 2023

AbstractObjectiveThis study aims to describe cervical cancer during pregnancy (CCP) and investigate factors associated with survival outcomes.MethodsThis retrospective matched study included CCP patients from May 2007 to August 2021 and matched non‐pregnant cervical cancer patients (1:2) based on age (±5 years), year at diagnosis (±2 years), histological type and stage (2018 FIGO). The Kaplan–Meier method and multivariate Cox regression analyses were used to assess the impact of pregnancy and clinicopathologic factors on prognosis.ResultsThirty‐eight CCP patients (stage IA to IIIC) and 76 non‐pregnant patients were included. Most CCP patients were diagnosed in the first (31.6%) or second (47.4%) trimester. CCP patients had a longer waiting time than non‐pregnant patients. Pregnancy continued in 42.1% (continuation of pregnancy [COP] group) and was terminated in 57.9% (termination of pregnancy [TOP] group) of patients. Survival analysis showed no significant differences in recurrence‐free survival (RFS) or overall survival (OS) between pregnant and non‐pregnant patients or between the COP and TOP groups. At the end of the follow‐up period (range 12–178 months), 23 children born to CCP patients exhibited normal development.ConclusionPregnancy does not impact cervical cancer prognosis. The oncologic outcomes of the TOP and COP groups were comparable. A pregnancy‐preserving strategy could be considered for managing CCP patients.
Avelumab plus axitinib for translocation renal cell carcinoma: A case series and literature review
Authors: Takahashi Kenta , Kato Renpei , Ikarashi Daiki , Matsuura Tomohiko , Maekawa Shigekatsu , Kanehira Mitsugu , Takata Ryo , Sugimura Jun , Abe Takaya , Obara Wataru 
Published: December 2023

IntroductionPatients with translocation renal cell carcinoma (tRCC) have a poor prognosis without standardized treatment.Case presentationThe first case was of a 72‐year‐old woman who underwent robot‐assisted partial nephrectomy for a left renal tumor and was pathologically diagnosed with tRCC. Recurrence was observed in the left retroperitoneal soft tissue. After treatment with avelumab–axitinib, continued progression‐free survival was confirmed at the 90‐week follow‐up. The second case was of a 41‐year‐old woman referred to our hospital and presented with translocation renal cell carcinoma metastasis to a para‐aortic lymph node. After treatment with avelumab–axitinib, continued progression‐free survival was confirmed at the 43‐week follow‐up.ConclusionThe outcomes of these cases indicate that avelumab–axitinib therapy has a long‐term antitumor effect in some patients with tRCC.