bluuebunny/crossref_metadata_2025_split huggingface dataset:
Berberine promotes immunological outcomes and decreases neuroinflammation in the experimental model of multiple sclerosis through the expansion of Treg and Th2 cells
Authors: Tavaf Maryam J. , Soltanmohammadi Azita , Zargarani Simin , Yazdanpanah Esmaeil , Sadighimoghaddam Bizhan , Yousefi Bahman , Sameni Hamid R. , Haghmorad Dariush 
Published: January 2023

AbstractIntroductionAmong the most frequent demyelinating autoimmune disorders of the central nervous system (CNS) is multiple sclerosis. Experimental autoimmune encephalomyelitis (EAE) is used as an animal model of multiple sclerosis. Berberine is an alkaloid found in some medicinal plants with anti‐inflammatory effects.MethodsC57BL/6 female mice were used and divided into three groups: (1) The control group received PBS, (2) the low‐dose treatment group received 10 mg/kg of berberine, and (3) The high‐dose treatment group received 30 mg/kg of berberine. Myelin Oligodendrocyte Glycoprotein and complete Freund's adjuvant were subcutaneously administered to induce EAE. Mice were given intraperitoneal injections of pertussis toxin on the day of immunization and 2 days later. Histological studies showed low lymphocyte infiltration and demyelination of CNS in the treated groups.ResultsThe clinical scores of the treatment group with low‐dose berberine (T1: 2 ± 0.13) and high‐dose berberine (T2: 1.5 ± 0.14) were significantly (p < .001) lower than the control group (CTRL: 4.5 ± 0.13). Treatment groups decreased pro‐inflammatory cytokines (IFN‐γ, TNF‐α, interleukin [IL]‐17) (p < .001) as well as increased anti‐inflammatory cytokine expression (IL‐4, IL‐10, IL‐27, IL‐33, IL‐35, TGF‐β) (p < .01) when compared to the CTRL group. Treatment groups with berberine reduced expression of the Th1 and Th17 cytokines and transcription factors (p < .001) and increased expression of transcription factors and Th2 and Treg cytokines (p < .01) in contrast to CTRL group.ConclusionBerberine appears to have a protective effect on disease development and alleviating disease status in EAE, which appears to be due to the cell expansion and function of Treg and Th2 cells in addition to berberine's anti‐inflammatory properties.
Silicone Wristband Spray Ionization Mass Spectrometry for Combined Exposome and Metabolome Profiling
Authors: Mofidfar Mohammad , Song Xiaowei , Kelly John T. , Rubenstein Mitchell H. , Zare Richard N. 
Published: January 2023

AbstractWearing a silicone wristband exposes the internal surface of the wristband to glucose, lipids, and metabolites (metabolome) found in sweat and the external surface to occupational and environmental factors that could impact health found in the air (exposome). We use silicone wristband electrospray ionization mass spectrometry (SWESI‐MS) to monitor these species. A 20‐μL drop of a (1 : 1, v/v) water:methanol solution is sufficient to extract abundant metabolites and contacting chemicals derived from ingestion of drink, smoke, diet, drug, and air pollution exposure. A wide coverage of species is successfully detected and identified from a worn wristband including caffeine, glucose, nicotine, reserpine, lactate, phosphocreatinine, oleic acid, and urea. The signal from a triangular wristband surface triggered by applying a voltage of 5 kV to form a spray remains stable for at least 2 minutes. The response is linear from 10 pM to 100 μM. The SWESI‐MS method offers the advantages of onsite sampling, no preprocessing, simple testing, and automatic high‐dimensional data searching. It can be used for simultaneously monitoring hazardous chemical contamination and abnormal expression of sweat‐secreted metabolites that are indicative of some physiological condition.
Curative effect of cervical lifting suture combined with the improved Hayman suture in pernicious placenta previa under noninterventional conditions: A retrospective cohort study
Authors: Zhang Xuemei , Cao Hongbin , Wang Hu , Li Xue , Chen Liping , Shi Qi , Li Jiaping 
Published: January 2023

AbstractObjectiveTo propose a novel operative strategy involving cervical lifting suture (CLS) in conjunction with the improved Hayman suture (CLS‐Hayman) to apply in the cesarean section of pernicious placenta previa (PPP) under noninterventional conditions and evaluate the curative effect of the CLS‐Hayman operation by comparing with conventional CLS.MethodsA retrospective cohort study was conducted on 119 pregnant women diagnosed with PPP, including 50 cases in the CLS‐Hayman group and 69 cases in the CLS group. The authors used different statistical methods to compare intraoperative bleeding, 24‐h postpartum bleeding, postoperative complication rates, and uterine involution between the two groups under noninterventional conditions.ResultsThe median intraoperative blood loss was 800 mL in the CLS‐Hayman group versus 1000 mL in the CLS group. The amount of 24‐h postpartum bleeding in the CLS‐Hayman group was lower than that in the CLS group. The complication rates in the two groups were 12% and 27.5%, respectively (P = 0.04). B‐ultrasound or magnetic resonance imaging data showed that the uterine involution was better in the CLS‐Hayman group.ConclusionThe CLS‐Hayman suture achieves the desired intraoperative hemostasis and also stands out for its better prevention of postpartum hemorrhage, better prognosis at follow‐up, and lower complication rates.
Reversible pulmonary hypertension in hyperthyroid mother: A case report and review of prior cases
Authors: Ramly Fathi , Mahamooth Mas Irfan Jaya , Abidin Hafisyatul Aiza Zainal , Hassan Jamiyah 
Published: January 2023

SynopsisHyperthyroid‐induced pulmonary hypertension in pregnancy is reversible with aggressive treatment together with close monitoring of cardiac function.
RETRACTED: Infliximab substantially re‐silenced Wnt/β‐catenin signaling and ameliorated doxorubicin‐induced cardiomyopathy in rats
Authors: Mohamed Hoda E. , Askar Mervat E. , Shaheen Mohamed A. , Salama Alaa E. , Idris Reham A. , Younis Nahla N. 
Published: January 2023

AbstractThe release of inflammatory cytokines, namely tumor necrosis factor‐α (TNF‐α), plays an important role in the pathogenesis of cardiomyopathy. TNF‐α increases in plasma and in myocardium of heart failure patients. We aimed to investigate the role of TNF‐α inhibitor (infliximab; IFX) in regulating dilated cardiomyopathy (DCM) induced in rats. DCM was induced in rats by doxorubicin (DOX; 3.5 mg. kg−1, i.p) twice weekly for 3 weeks (21 mg. kg−1 cumulative dose). DCM rats were treated with RPL (1 mg. kg−1 orally, daily), IFX (5 mg. kg−1; i.p. once) or their combination for 4 weeks starting next day of last DOX dose. Echocardiography was conducted followed by a collection of blood and left ventricle (LV) for biochemical and histological investigations. DCM rats revealed deteriorated cardiac function (increased CK‐MB activity, LVIDs, LVIDd, ESV, and EDV, while decreased EF% and FS%), hypertrophy (increased HW/TL, β‐MHC, and α‐actin), inflammation (increased IL‐1β, IL‐6, and TNF‐α). The activation of Wnt/β‐catenin along with increased gene expression of RAS components (RENIN, ACE, and AT1) were evident. LV architecture also revealed abnormalities and some degree of fibrosis. Treatment with RPL and/or IFX suppressed TNF‐α and consequently improved most of these parameters suppressing Wnt/β‐catenin/RAS axis. Combined RPL and IFX treatment was the best among all treatments. In conclusion, Wnt/β‐catenin/RAS axis is implicated in DOX‐induced cardiomyopathy. The upstream TNF‐α was proved for the first time in‐vivo to stimulate this axis where its inhibition by RPL or IFX prevented DCM. Targeting this axis at two points using RPL and IFX showed better therapeutic efficacy.
Investigating students' motivational goals and self‐efficacy and task beliefs in relationship to course attendance and prior knowledge in an undergraduate statics course
Authors: Hunsu Nathaniel J. , Olaogun Olarenwaju P. , Oje Adurangba V. , Carnell Peter H. , Morkos Beshoy 
Published: January 2023

AbstractBackgroundStudent persistence in undergraduate engineering majors often depends on how they perform in foundational engineering courses. Although mastery of prerequisite knowledge affects how students perform in these courses, research suggests that achievement goal orientations and task‐value and self‐efficacy beliefs play prominent roles in predicting students' achievement.Purpose/HypothesisDrawing on achievement goal, expectancy‐value, and self‐efficacy theories, this study explores the relationships and relative predictive significance of students' achievement goal orientations and task‐value and self‐efficacy beliefs on academic achievement when prior knowledge and class attendance in a foundational engineering course were accounted for.Design/MethodParticipants were students enrolled in engineering statics at a primarily White institution. A multiple regression analysis was conducted using achievement goals, self‐efficacy for learning performance, task value, absence, and prior knowledge as predictor variables, and participants' achievement scores as the outcome variable.ResultsPositive relationships were observed between the different achievement goal constructs. The final regression model explained 50% of the variance in participants' achievement scores. Self‐efficacy and task‐value belief effects remained significant predictors of achievement, even after prior knowledge and regular class attendance were considered. Further, the combined effect of self‐efficacy and task‐value beliefs on achievement was larger than that of prior knowledge alone.ConclusionsPedagogical approaches that seek to improve engineering students' task‐value and self‐efficacy beliefs may be more efficacious at promoting achievement than those that focus on fostering achievement goal orientations. Instructors should consider such approaches along with those that effectively address differences in prior knowledge in foundational engineering courses.
Trait‐ and State‐Dependent Changes in Cortical–Subcortical Functional Networks Across the Adult Lifespan
Authors: Wang Ziqi , Yang Jie , Zheng Zihao , Cao Weifang , Dong Li , Li Hechun , Wen Xin , Luo Cheng , Cai Qingyan , Jian Wei , Yao Dezhong 
Published: January 2023

BackgroundHow the functional interactions of the basal ganglia/thalamus with the cerebral cortex and the cerebellum change over the adult lifespan in movie‐watching and resting‐state is less clear.PurposeTo investigate the functional changes in the organization of the human cortical–subcortical functional networks over the adult lifespan using movie‐watching and resting‐state fMRI data.Study TypeCohort.SubjectsHealthy 467 adults (cross‐sectional individuals aged 18–88 years) from the Cambridge Centre for Ageing and Neuroscience (www.cam-can.com).Field Strength/SequencefMRI using a gradient‐echo echo‐planar imaging (EPI) sequence at 3 T.AssessmentFunctional connectivities (FCs) of the subcortical subregions (i.e. the basal ganglia and thalamus) with both the cerebral cortex and cerebellum were examined in fMRI data acquired during resting state and movie‐watching. And, fluid intelligence scores were also assessed.Statistical TestsStudent's t‐tests, false discovery rate (FDR) corrected.ResultsAs age increased, FCs that mainly within the basal ganglia and thalamus, and between the basal ganglia/thalamus and cortical networks (including the dorsal attention, ventral attention, and limbic networks) were both increased/decreased during movie‐watching and resting states. However, FCs showed a state‐dependent component with advancing age. During the movie‐watching state, the FCs between the basal ganglia/thalamus and cerebellum/frontoparietal control networks were mainly increased with age, and the FCs in the somatomotor network were decreased with age. During the resting state, the FCs between the basal ganglia/thalamus and default mode/visual networks were mainly increased with age, and the FCs in the cerebellum were mainly decreased with age. Moreover, inverse relationships between FCs and fluid intelligence were mainly found in these network regions.Data ConclusionOur study may suggest that changes in cortical–subcortical functional networks across the adult lifespan were both state‐dependent and stable traits, and that aging fMRI studies should consider the effects of both physiological characteristics and individual situations.Evidence Level2.Technical EfficacyStage 3.
A machine learning approach for prediction of seasonal lightning density in different lightning regions of India
Authors: Chatterjee Chandrani , Mandal Joyjit , Das Saurabh 
Published: January 2023

AbstractLightning is one of the most severe weather events causing significant loss of human lives and resources. Increasing number of lightning fatalities due to recent climatic changes is emerging out to be a serious concern for India during last few years. Proper characterization and parameterization of the same, therefore, is extremely crucial. However, lightning is an extremely dynamic phenomenon having enormous spatio‐temporal inhomogeneity especially over such a vast country like India with varied topographic and climatological features. Therefore, proper parameterization of lightning activity over India needs consideration of different lightning climatologies. This study has attempted to resolve the issue by regionalizing Indian subcontinent in different lightning climatologies based on lightning density and associated atmospheric variables that is, CAPE, specific humidity at different pressure levels, temperature, k index and cloud particle size and identified seven distinct lightning climatologies over India. A regression model is proposed for estimating the annual and seasonal (monsoon and pre‐monsoon) lightning activities over the seven resulting lightning zones based on the said atmospheric variables using machine learning techniques. Four machine learning models have been tested among which Random forest has shown the best accuracy. The regression model has shown an R‐squared score of 0.81 during monsoon season and 0.71 during the pre‐monsoon. The atmospheric features based on their influences on the lightning activity in these seven climatologies has been ranked which presented the evidences of largely varied interplay between different atmospheric variables and lightning over different parts of the country and during different seasons.
Chiral analysis of E‐ε‐viniferin enantiomers, towards a new chemotaxonomic marker of the vine
Authors: Gabaston Julien , Buffeteau Thierry , Irvine Agnès Destrac , Gambetta Gregory , Mérillon Jean‐Michel , Waffo‐Téguo Pierre 
Published: January 2023

AbstractBACKGROUNDThe accurate characterization of grapevine cultivars (Vitis vinifera) is crucial for grape growers, winemakers, wine sellers, consumers and authorities, considering that mistakes could involve significant damage to the wine economic system. To avoid any misunderstanding, morphological, molecular and chemical tools are developed to positively identify grape varieties.RESULTSE‐ε‐viniferin is a stilbene dimer mainly present in the woody part of grapevine and present as a mixture of two enantiomers: (7aR, 8aR)‐(−)‐E‐ε‐viniferin (1) and (7aS, 8aS)‐(+)‐E‐ε‐viniferin (2). In addition to phenotypic and genotypic approaches, a chemotaxonomic method using E‐ε‐viniferin enantiomers as chemical markers of grapevine cultivars was investigated. The isolation and purification of E‐ε‐viniferin enantiomers by preparative high‐performance liquid chromatography (HPLC) and chiral HPLC from 14 red and eight white grapevine cane cultivars enabled us to determine the proportion of each enantiomer and therefore to calculate the enantiomeric excess for each variety. The relative abundance of each E‐ε‐viniferin enantiomer permitted us to distinguish grape varieties, as well as to establish cultivar relationships and patterns through statistical analysis.CONCLUSIONThis pioneering work highlighting the enantiomeric excess of E‐ε‐viniferin as a chemical marker of grapevine paves the way for further studies to understand what mechanisms are involved in the production of these enantiomers in grapevine. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Combined effects of lipase and Lactiplantibacillus plantarum1‐24‐LJ on physicochemical property, microbial succession and volatile compounds formation in fermented fish product
Authors: Zhang Zuoli , Wu Ruohan , Xu Wenhuan , Cocolin Luca , Liang Huipeng , Ji Chaofan , Zhang Sufang , Chen Yingxi , Lin Xinping 
Published: January 2023

AbstractBACKGROUNDStudies have shown that either the addition of starter culture or enzyme can improve fermentation in fish or other products. However, little research has been carried out on the effects of coupling starter cultures with lipase on the microbial community and product quality. Suanzhayu is a Chinese fermented fish product that mainly relies on spontaneous fermentation, resulting in an unstable flavor and quality. The present study investigated the impact of lipase and Lactiplantibacillus plantarum 1‐24‐LJ on the quality of Suanzhayu.RESULTSInoculation decreased pH and 2‐thiobarbituric acid reactive substances (TBARS) values, and also helped the dominance of the strain in the ecosystem, whereas lipase addition raised TBARS values and had little effect on pH, water activity (aw) and microbiota. The addition of lipase and/or Lpb. plantarum increased the content of alcohols, aldehydes, ketones, esters and umami amino acids. The co‐additions with the most significant effect and the total contents of volatile compounds (VCs) and free amino acids (FAAs) were 1801.92 g per 100 g and 21 357.05 mg per 100 g, respectively. Former‐Lactobacillus was negatively correlated with pH, aw and Prevotella, but positively with VCs (ethyl ester of heptanoic acid, ethyl ester of octanoic acid) and FAAs (Tyr, Phe). Furthermore, adding Lpb. plantarum 1‐24‐LJ alone or in combination with lipase shortened the fermentation process.CONCLUSIONThe present study provides a recommended Suanzhayu process approach for improving product quality and flavor, as well as shortening fermentation time, by adding Lpb. plantarum 1‐24‐LJ with or without lipase. © 2023 Society of Chemical Industry.
Effect of Particle Functionalization on Structural and Dielectric Properties of Flexible TPU/BaTiO3/MWCNTs Composite Films
Authors: Stojchevska Ema , Popeski‐Dimovski Riste , Kokolanski Živko , Gualandi Chiara , Bužarovska Aleksandra 
Published: January 2023

AbstractFlexible, low‐cost thermoplastic polyurethane (TPU) composite films with functionalized BaTiO3 (BT) and multiwall carbon nanotubes (MWCNTs) are prepared by solution casting and tested as dielectric materials. Different volume content loadings of BT filler (between 10 and 80 vol%) and 0.12 vol% of MWCNTs are applied. The effects of particle functionalization and BT content on the structural, mechanical, and energy storage properties are studied by Fourier infrared spectroscopy (FTIR), differential scanning calorimetry (DSC), as well as puncture and dielectric measurements. It is found that the particle functionalization and BT content significantly affect the hydrogen bonding within the polymer matrix, and have a huge impact on the mechanical and dielectric properties. The optimal concentration (30 vol% of functionalized BT and 0.12 vol% of functionalized MWCNTs) giving the highest dielectric constant of 30.28 and dielectric breakdown strength of 42 kV mm−1 is determined.
Combining 13C‐NMR Triad Sequence Data with Joint Molecular Weight and Composition Data to Estimate Parameters in a Gas‐Phase Polyethylene Reactor Model
Authors: Straznicky Jakob I. , Aiello Jennifer P. , Gibson Lauren A. , Jiang Yan , Boller Timothy , Chiang Hsu , McAuley Kimberley B. 
Published: January 2023

AbstractA three‐site metallocene catalyst is used in a gas‐phase semi‐batch reactor to produce ethylene/hexene copolymers. At the end of each batch, polyethylene (PE) is collected and analyzed to determine the carbon‐13 nuclear magnetic resonance (13C‐NMR) triad sequence distribution. Joint molecular weight (MW) and composition distribution data are obtained using gel permeation chromatography with an infrared detector (GPC‐IR). Data from ten experimental runs are used for kinetic parameter estimation. Using a mean‐squared error (MSE) selection methodology, 23 of the 36 model parameters are selected for estimation using the available polymerization rate and PE characterization data. The remaining parameters are held at initial guesses to avoid overfitting. Addition of the triad data to the parameter estimation problem allows for one additional parameter to be estimated and results in improved parameter estimates. Standard deviations of all but one of the estimated parameters decreased due to inclusion of triad data. The updated parameter estimates result in good fits for the triad data and for joint MW and composition data. The model accurately predicts four validation data sets not used for parameter estimation. The new model and its updated parameter estimates will be valuable for scaling up new polymer grades from laboratory‐scale to commercial‐scale.
Plasma cell‐free DNA methylome profiling in pre‐ and post‐surgery oral cavity squamous cell carcinoma
Authors: Patel Krupal B. , Padhya Tapan A. , Huang Jinyong , Hernandez‐Prera Juan C. , Li Tingyi , Chung Christine H. , Wang Liang , Wang Xuefeng 
Published: January 2023

AbstractHead and neck squamous cell carcinoma (HNSCC), a highly heterogeneous disease that involves multiple anatomic sites, is a leading cause of cancer‐related mortality worldwide. Although the utility of noninvasive biomarkers based on circulating cell‐free DNA (cfDNA) methylation profiling has been widely recognized, limited studies have been reported so far regarding the dynamics of cfDNA methylome in oral cavity squamous cell carcinoma (OCSCC). It is hypothesized in this study that comparison of methylation profiles in pre‐ and postsurgery plasma samples will reveal OCSCC‐specific prognostic and diagnostic biomarkers. As a strategy to further prioritize tumor‐specific targets, top differential methylated regions (DMRs) were called by reanalyzing methylation data from paired tumor and normal tissue collected in the the cancer genome atlas head‐neck squamous cell carcinoma (TCGA) head and neck cancer cohort. Matched plasma samples from eight patients with OCSCC were collected at Moffitt Cancer Center before and after surgical resection. Plasma‐derived cfDNA was analyzed by cfMBD‐seq, which is a high‐sensitive methylation profiling assay. Differential methylation analysis was then performed based on the matched samples profiled. In the top 200 HNSCC‐specific DMRs detected based on the TCGA data set, a total of 23 regions reached significance in the plasma‐based DMR test. The top five validated DMR regions (ranked by the significance in the plasma study) are located in the promoter regions of genes PENK, NXPH1, ZIK1, TBXT, and CDO1, respectively. The genome‐wide cfDNA DMR analysis further highlighted candidate biomarkers located in genes SFRP4, SOX1, IRF4, and PCDH17. The prognostic relevance of candidate genes was confirmed by survival analysis using the TCGA data. This study supports the utility of cfDNA‐based methylome profiling as a promising noninvasive biomarker source for OCSCC and HNSCC.